The critical success factors and impact of prior knowledge to nursing students when transferring nursing knowledge during nursing clinical practise.

Science.gov (United States)

Tsai, Ming-Tien; Tsai, Ling-Long

2005-11-01

Nursing practise plays an important role in transferring nursing knowledge to nursing students. From the related literature review, prior knowledge will affect how learners gain new knowledge. There has been no direct examination of the prior knowledge interaction effect on students' performance and its influence on nursing students when evaluating the knowledge transfer success factors. This study explores (1) the critical success factors in transferring nursing knowledge, (2) the impact of prior knowledge when evaluating the success factors for transferring nursing knowledge. This research utilizes in-depth interviews to probe the initial success factor phase. A total of 422 valid questionnaires were conducted by the authors. The data were analysed by comparing the mean score and t-test between two groups. Seventeen critical success factors were identified by the two groups of students. Twelve items were selected to examine the diversity in the two groups. Students with prior knowledge were more independent than the other group. They also preferred self-directed learning over students without prior knowledge. Students who did not have prior knowledge were eager to take every opportunity to gain experience and more readily adopted new knowledge.

Variational segmentation problems using prior knowledge in imaging and vision

DEFF Research Database (Denmark)

Fundana, Ketut

This dissertation addresses variational formulation of segmentation problems using prior knowledge. Variational models are among the most successful approaches for solving many Computer Vision and Image Processing problems. The models aim at finding the solution to a given energy functional defined......, prior knowledge is needed to obtain the desired solution. The introduction of shape priors in particular, has proven to be an effective way to segment objects of interests. Firstly, we propose a prior-based variational segmentation model to segment objects of interest in image sequences, that can deal....... Many objects have high variability in shape and orientation. This often leads to unsatisfactory results, when using a segmentation model with single shape template. One way to solve this is by using more sophisticated shape models. We propose to incorporate shape priors from a shape sub...

Prior Knowledge Facilitates Mutual Gaze Convergence and Head Nodding Synchrony in Face-to-face Communication.

Science.gov (United States)

Thepsoonthorn, C; Yokozuka, T; Miura, S; Ogawa, K; Miyake, Y

2016-12-02

As prior knowledge is claimed to be an essential key to achieve effective education, we are interested in exploring whether prior knowledge enhances communication effectiveness. To demonstrate the effects of prior knowledge, mutual gaze convergence and head nodding synchrony are observed as indicators of communication effectiveness. We conducted an experiment on lecture task between lecturer and student under 2 conditions: prior knowledge and non-prior knowledge. The students in prior knowledge condition were provided the basic information about the lecture content and were assessed their understanding by the experimenter before starting the lecture while the students in non-prior knowledge had none. The result shows that the interaction in prior knowledge condition establishes significantly higher mutual gaze convergence (t(15.03) = 6.72, p < 0.0001; α = 0.05, n = 20) and head nodding synchrony (t(16.67) = 1.83, p = 0.04; α = 0.05, n = 19) compared to non-prior knowledge condition. This study reveals that prior knowledge facilitates mutual gaze convergence and head nodding synchrony. Furthermore, the interaction with and without prior knowledge can be evaluated by measuring or observing mutual gaze convergence and head nodding synchrony.

Analysis of the IJCNN 2007 agnostic learning vs. prior knowledge challenge.

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Guyon, Isabelle; Saffari, Amir; Dror, Gideon; Cawley, Gavin

2008-01-01

We organized a challenge for IJCNN 2007 to assess the added value of prior domain knowledge in machine learning. Most commercial data mining programs accept data pre-formatted in the form of a table, with each example being encoded as a linear feature vector. Is it worth spending time incorporating domain knowledge in feature construction or algorithm design, or can off-the-shelf programs working directly on simple low-level features do better than skilled data analysts? To answer these questions, we formatted five datasets using two data representations. The participants in the "prior knowledge" track used the raw data, with full knowledge of the meaning of the data representation. Conversely, the participants in the "agnostic learning" track used a pre-formatted data table, with no knowledge of the identity of the features. The results indicate that black-box methods using relatively unsophisticated features work quite well and rapidly approach the best attainable performance. The winners on the prior knowledge track used feature extraction strategies yielding a large number of low-level features. Incorporating prior knowledge in the form of generic coding/smoothing methods to exploit regularities in data is beneficial, but incorporating actual domain knowledge in feature construction is very time consuming and seldom leads to significant improvements. The AL vs. PK challenge web site remains open for post-challenge submissions: http://www.agnostic.inf.ethz.ch/.

Effects of prior knowledge on decisions made under perceptual vs. categorical uncertainty

Directory of Open Access Journals (Sweden)

Kathleen eHansen

2012-11-01

Full Text Available Humans use prior knowledge to bias decisions made under uncertainty. In this fMRI study we predicted that different brain dynamics play a role when prior knowledge is added to decisions made under perceptual vs. categorical uncertainty. Subjects decided whether shapes belonged to Category S – smoother – or Category B – bumpier – under both uncertainty conditions, with or without prior knowledge cues. When present, the prior knowledge cue, 80/20 or 50/50, indicated that 80% and 20% (or 50% and 50% were the chances that responding "S" and "B" (or vice versa would be correct. During perceptual uncertainty, shapes were degraded with noise. During categorical uncertainty, shapes were ambiguous. Adding the 80/20 cue increased activation during perceptual uncertainty in bilateral lateral occipital cortex and left middle frontal gyrus (MidFG, and decreased activity in bilateral lateral occipital cortex during categorical uncertainty. Right MidFG and other frontoparietal regions were active in all conditions. The results demonstrate that left MidFG shows activation changes, suggestive of an influence on visual cortex, that depend on the factor that makes the decisions difficult. When sensory evidence is difficult to perceive, prior knowledge increases visual cortical activity. When the sensory evidence is easy to perceive but difficult to interpret, prior knowledge decreases visual cortical activity.

Mind wandering during film comprehension: The role of prior knowledge and situational interest.

Science.gov (United States)

Kopp, Kristopher; Mills, Caitlin; D'Mello, Sidney

2016-06-01

This study assessed the occurrence and factors that influence mind wandering (MW) in the domain of film comprehension. The cascading model of inattention assumes that a stronger mental representation (i.e., a situation model) during comprehension results in less MW. Accordingly, a suppression hypothesis suggests that MW would decrease as a function of having the knowledge of the plot of a film prior to viewing, because the prior-knowledge would help to strengthen the situation model during comprehension. Furthermore, an interest-moderation hypothesis would predict that the suppression effect of prior-knowledge would only emerge when there was interest in viewing the film. In the current experiment, 108 participants either read a short story that depicted the plot (i.e., prior-knowledge condition) or read an unrelated story of equal length (control condition) prior to viewing the short film (32.5 minutes) entitled The Red Balloon. Participants self-reported their interest in viewing the film immediately before the film was presented. MW was tracked using a self-report method targeting instances of MW with metacognitive awareness. Participants in the prior-knowledge condition reported less MW compared with the control condition, thereby supporting the suppression hypothesis. MW also decreased over the duration of the film, but only for those with prior-knowledge of the film. Finally, prior-knowledge effects on MW were only observed when interest was average or high, but not when interest was low.

Contribution of Prior Semantic Knowledge to New Episodic Learning in Amnesia

Science.gov (United States)

Kan, Irene P.; Alexander, Michael P.; Verfaellie, Mieke

2009-01-01

We evaluated whether prior semantic knowledge would enhance episodic learning in amnesia. Subjects studied prices that are either congruent or incongruent with prior price knowledge for grocery and household items and then performed a forced-choice recognition test for the studied prices. Consistent with a previous report, healthy controls'…

Browsing while reading: effects of instructional design and learners' prior knowledge

Directory of Open Access Journals (Sweden)

Theimo Müller-Kalthoff

2006-12-01

Full Text Available One of the key reasons that multimedia, and particularly hypertext systems, are gaining in importance is that they inspire hopes of optimizing learners' processes of knowledge construction. The present study is concerned with the respective influence of individual learner variables (i.e. particularly domain-specific prior knowledge on the use of different design attributes. Thirty-six university students worked through a hierarchically structured two-part hypertext about the psychology of memory under two experimental browsing conditions (reduced versus free browsing. Results show that deeper-level comprehension (i.e. structural knowledge was predicted by the interaction of experimental condition and prior knowledge, but that simply retaining facts was not. Participants with low prior knowledge performed better on the comprehension test if they had worked on the version with reduced access. Moreover, the version with reduced access helped to reduce feelings of disorientation. The measure of disorientation also appeared to be closely linked with the individual's computer experience, self-concept of computer ability and subject-related interest. The main implications for educational practice relate to the design of an adaptive multimedia and hypertext learning system and the successful learning with it.

Exploiting prior knowledge of English, Mathematics and Chemistry ...

African Journals Online (AJOL)

This paper explores prior knowledge with the view to enhancing the study of French. Juxtaposing sentences in French and English to underscore syntactic differences and similarities, the paper attributes numerical values to nouns and adjectives in French in order to demonstrate the mathematical imbalance and lack of ...

Science Literacy and Prior Knowledge of Astronomy MOOC Students

Science.gov (United States)

Impey, Chris David; Buxner, Sanlyn; Wenger, Matthew; Formanek, Martin

2018-01-01

Many of science classes offered on Coursera fall into fall into the category of general education or general interest classes for lifelong learners, including our own, Astronomy: Exploring Time and Space. Very little is known about the backgrounds and prior knowledge of these students. In this talk we present the results of a survey of our Astronomy MOOC students. We also compare these results to our previous work on undergraduate students in introductory astronomy courses. Survey questions examined student demographics and motivations as well as their science and information literacy (including basic science knowledge, interest, attitudes and beliefs, and where they get their information about science). We found that our MOOC students are different than the undergraduate students in more ways than demographics. Many MOOC students demonstrated high levels of science and information literacy. With a more comprehensive understanding of our students’ motivations and prior knowledge about science and how they get their information about science, we will be able to develop more tailored learning experiences for these lifelong learners.

Incorporating prior knowledge induced from stochastic differential equations in the classification of stochastic observations.

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Zollanvari, Amin; Dougherty, Edward R

2016-12-01

In classification, prior knowledge is incorporated in a Bayesian framework by assuming that the feature-label distribution belongs to an uncertainty class of feature-label distributions governed by a prior distribution. A posterior distribution is then derived from the prior and the sample data. An optimal Bayesian classifier (OBC) minimizes the expected misclassification error relative to the posterior distribution. From an application perspective, prior construction is critical. The prior distribution is formed by mapping a set of mathematical relations among the features and labels, the prior knowledge, into a distribution governing the probability mass across the uncertainty class. In this paper, we consider prior knowledge in the form of stochastic differential equations (SDEs). We consider a vector SDE in integral form involving a drift vector and dispersion matrix. Having constructed the prior, we develop the optimal Bayesian classifier between two models and examine, via synthetic experiments, the effects of uncertainty in the drift vector and dispersion matrix. We apply the theory to a set of SDEs for the purpose of differentiating the evolutionary history between two species.

Age differences in suggestibility to contradictions of demonstrated knowledge: the influence of prior knowledge.

Science.gov (United States)

Umanath, Sharda

2016-11-01

People maintain intact general knowledge into very old age and use it to support remembering. Interestingly, when older and younger adults encounter errors that contradict general knowledge, older adults suffer fewer memorial consequences: Older adults use fewer recently-encountered errors as answers for later knowledge questions. Why do older adults show this reduced suggestibility, and what role does their intact knowledge play? In three experiments, I examined suggestibility following exposure to errors in fictional stories that contradict general knowledge. Older adults consistently demonstrated more prior knowledge than younger adults but also gained access to even more across time. Additionally, they did not show a reduction in new learning from the stories, indicating lesser involvement of episodic memory failures. Critically, when knowledge was stably accessible, older adults relied more heavily on that knowledge compared to younger adults, resulting in reduced suggestibility. Implications for the broader role of knowledge in aging are discussed.

Quantitative utilization of prior biological knowledge in the Bayesian network modeling of gene expression data

Directory of Open Access Journals (Sweden)

Gao Shouguo

2011-08-01

Full Text Available Abstract Background Bayesian Network (BN is a powerful approach to reconstructing genetic regulatory networks from gene expression data. However, expression data by itself suffers from high noise and lack of power. Incorporating prior biological knowledge can improve the performance. As each type of prior knowledge on its own may be incomplete or limited by quality issues, integrating multiple sources of prior knowledge to utilize their consensus is desirable. Results We introduce a new method to incorporate the quantitative information from multiple sources of prior knowledge. It first uses the Naïve Bayesian classifier to assess the likelihood of functional linkage between gene pairs based on prior knowledge. In this study we included cocitation in PubMed and schematic similarity in Gene Ontology annotation. A candidate network edge reservoir is then created in which the copy number of each edge is proportional to the estimated likelihood of linkage between the two corresponding genes. In network simulation the Markov Chain Monte Carlo sampling algorithm is adopted, and samples from this reservoir at each iteration to generate new candidate networks. We evaluated the new algorithm using both simulated and real gene expression data including that from a yeast cell cycle and a mouse pancreas development/growth study. Incorporating prior knowledge led to a ~2 fold increase in the number of known transcription regulations recovered, without significant change in false positive rate. In contrast, without the prior knowledge BN modeling is not always better than a random selection, demonstrating the necessity in network modeling to supplement the gene expression data with additional information. Conclusion our new development provides a statistical means to utilize the quantitative information in prior biological knowledge in the BN modeling of gene expression data, which significantly improves the performance.

The relation between prior knowledge and students' collaborative discovery learning processes.

NARCIS (Netherlands)

Gijlers, Aaltje H.; de Jong, Anthonius J.M.

2005-01-01

In this study we investigate how prior knowledge influences knowledge development during collaborative discovery learning. Fifteen dyads of students (pre-university education, 15-16 years old) worked on a discovery learning task in the physics field of kinematics. The (face-to-face) communication

The effects of prior knowledge on study-time allocation and free recall: investigating the discrepancy reduction model.

Science.gov (United States)

Verkoeijen, Peter P J L; Rikers, Remy M J P; Schmidt, Henk G

2005-01-01

In this study, the authors examined the influence of prior knowledge activation on information processing by means of a prior knowledge activation procedure adopted from the read-generate paradigm. On the basis of cue-target pairs, participants in the experimental groups generated two different sets of items before studying a relevant list. Subsequently, participants were informed that they had to study the items in the list and that they should try to remember as many items as possible. The authors assessed the processing time allocated to the items in the list and free recall of those items. The results revealed that the experimental groups spent less time on items that had already been activated. In addition, the experimental groups outperformed the control group in overall free recall and in free recall of the activated items. Between-group comparisons did not demonstrate significant effects with respect to the processing time and free recall of nonactivated items. The authors interpreted these results in terms of the discrepancy reduction model of regulating the amount of processing time allocated to different parts of the list.

Prior knowledge of category size impacts visual search.

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Wu, Rachel; McGee, Brianna; Echiverri, Chelsea; Zinszer, Benjamin D

2018-03-30

Prior research has shown that category search can be similar to one-item search (as measured by the N2pc ERP marker of attentional selection) for highly familiar, smaller categories (e.g., letters and numbers) because the finite set of items in a category can be grouped into one unit to guide search. Other studies have shown that larger, more broadly defined categories (e.g., healthy food) also can elicit N2pc components during category search, but the amplitude of these components is typically attenuated. Two experiments investigated whether the perceived size of a familiar category impacts category and exemplar search. We presented participants with 16 familiar company logos: 8 from a smaller category (social media companies) and 8 from a larger category (entertainment/recreation manufacturing companies). The ERP results from Experiment 1 revealed that, in a two-item search array, search was more efficient for the smaller category of logos compared to the larger category. In a four-item search array (Experiment 2), where two of the four items were placeholders, search was largely similar between the category types, but there was more attentional capture by nontarget members from the same category as the target for smaller rather than larger categories. These results support a growing literature on how prior knowledge of categories affects attentional selection and capture during visual search. We discuss the implications of these findings in relation to assessing cognitive abilities across the lifespan, given that prior knowledge typically increases with age. © 2018 Society for Psychophysiological Research.

Prior Knowledge Improves Decoding of Finger Flexion from Electrocorticographic (ECoG Signals

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Zuoguan eWang

2011-11-01

Full Text Available Brain-computer interfaces (BCIs use brain signals to convey a user's intent. Some BCI approaches begin by decoding kinematic parameters of movements from brain signals, and then proceed to using these signals, in absence of movements, to allow a user to control an output. Recent results have shown that electrocorticographic (ECoG recordings from the surface of the brain in humans can give information about kinematic parameters (eg{} hand velocity or finger flexion. The decoding approaches in these studies usually employed classical classification/regression algorithms that derive a linear mapping between brain signals and outputs. However, they typically only incorporate little prior information about the target movement parameter. In this paper, we incorporate prior knowledge using a Bayesian decoding method, and use it to decode finger flexion from ECoG signals. Specifically, we exploit the anatomic constraints and dynamic constraints that govern finger flexion and incorporate these constraints in the construction, structure, and the probabilistic functions of the prior model of a switched non-parametric dynamic system (SNDS. Given a measurement model resulting from a traditional linear regression method, we decoded finger flexion using posterior estimation that combined the prior and measurement models. Our results show that the application of the Bayesian decoding model, which incorporates prior knowledge, improves decoding performance compared to the application of a linear regression model, which does not incorporate prior knowledge. Thus, the results presented in this paper may ultimately lead to neurally controlled hand prostheses with full fine-grained finger articulation.

The Effect of Prior Knowledge on Price Acceptability and the Type of Information Examined.

OpenAIRE

Rao, Akshay R; Sieben, Wanda A

1992-01-01

This article assesses whether differences in prior knowledge result in differences in (1) price acceptability and (2) the extent to which different types of information are examined. Using a personal computer-based methodology, subjects who varied in their prior product knowledge provided price responses, and the time they spent examining various kinds of information was measured. Acceptable price-range and points (price limits) were found to be lowest for low-knowledge subjects. Further, the...

Does prior domain-specific content knowledge influence students' recall of arguments surrounding interdisciplinary topics?

Science.gov (United States)

Schmidt, Hiemke K; Rothgangel, Martin; Grube, Dietmar

2017-12-01

Awareness of various arguments can help interactants present opinions, stress points, and build counterarguments during discussions. At school, some topics are taught in a way that students learn to accumulate knowledge and gather arguments, and later employ them during debates. Prior knowledge may facilitate recalling information on well structured, fact-based topics, but does it facilitate recalling arguments during discussions on complex, interdisciplinary topics? We assessed the prior knowledge in domains related to a bioethical topic of 277 students from Germany (approximately 15 years old), their interest in the topic, and their general knowledge. The students read a text with arguments for and against prenatal diagnostics and tried to recall the arguments one week later and again six weeks later. Prior knowledge in various domains related to the topic individually and separately helped students recall the arguments. These relationships were independent of students' interest in the topic and their general knowledge. Copyright © 2017 The Foundation for Professionals in Services for Adolescents. Published by Elsevier Ltd. All rights reserved.

Sets of priors reflecting prior-data conflict and agreement

NARCIS (Netherlands)

Walter, G.M.; Coolen, F.P.A.; Carvalho, J.P.; Lesot, M.-J.; Kaymak, U.; Vieira, S.; Bouchon-Meunier, B.; Yager, R.R.

2016-01-01

Bayesian inference enables combination of observations with prior knowledge in the reasoning process. The choice of a particular prior distribution to represent the available prior knowledge is, however, often debatable, especially when prior knowledge is limited or data are scarce, as then

Deepening Understanding of Prior Knowledge: What Diverse First-Generation College Students in the U.S. Can Teach Us

Science.gov (United States)

Castillo-Montoya, Milagros

2017-01-01

Educational research indicates that teachers revealing and utilizing students' prior knowledge supports students' academic learning. Yet, the variation in students' prior knowledge is not fully known. To better understand students' prior knowledge, I drew on sociocultural learning theories to examine racially and ethnically diverse college…

Analysis of Students’ Missed Organic Chemistry Quiz Questions that Stress the Importance of Prior General Chemistry Knowledge

OpenAIRE

Julie Ealy

2018-01-01

A concern about students’ conceptual difficulties in organic chemistry prompted this study. It was found that prior knowledge from general chemistry was critical in organic chemistry, but what were some of the concepts that comprised that prior knowledge? Therefore an analysis of four years of organic chemistry quiz data was undertaken. Multiple general chemistry concepts were revealed that are essential prior knowledge in organic chemistry. The general chemistry concepts that were foun...

Sleep Spindle Density Predicts the Effect of Prior Knowledge on Memory Consolidation

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Lambon Ralph, Matthew A.; Kempkes, Marleen; Cousins, James N.; Lewis, Penelope A.

2016-01-01

Information that relates to a prior knowledge schema is remembered better and consolidates more rapidly than information that does not. Another factor that influences memory consolidation is sleep and growing evidence suggests that sleep-related processing is important for integration with existing knowledge. Here, we perform an examination of how sleep-related mechanisms interact with schema-dependent memory advantage. Participants first established a schema over 2 weeks. Next, they encoded new facts, which were either related to the schema or completely unrelated. After a 24 h retention interval, including a night of sleep, which we monitored with polysomnography, participants encoded a second set of facts. Finally, memory for all facts was tested in a functional magnetic resonance imaging scanner. Behaviorally, sleep spindle density predicted an increase of the schema benefit to memory across the retention interval. Higher spindle densities were associated with reduced decay of schema-related memories. Functionally, spindle density predicted increased disengagement of the hippocampus across 24 h for schema-related memories only. Together, these results suggest that sleep spindle activity is associated with the effect of prior knowledge on memory consolidation. SIGNIFICANCE STATEMENT Episodic memories are gradually assimilated into long-term memory and this process is strongly influenced by sleep. The consolidation of new information is also influenced by its relationship to existing knowledge structures, or schemas, but the role of sleep in such schema-related consolidation is unknown. We show that sleep spindle density predicts the extent to which schemas influence the consolidation of related facts. This is the first evidence that sleep is associated with the interaction between prior knowledge and long-term memory formation. PMID:27030764

Reflections on rural people's knowledge and skill and relevance in ...

African Journals Online (AJOL)

UNLICENSED

objective is to assess the relevance of indigenous knowledge in agriculture. ... transmit the knowledge to the youths and researchers to document it and government to protect it. ... mechanisms to protect the earth's biological diversity. ... and other development agencies to embrace Agenda 21 as .... ecological characteristics.

Regional IS Knowledge Networks: Elaborating the Theme of Relevance of IS Research

Directory of Open Access Journals (Sweden)

Mikael Söderström

2003-01-01

Full Text Available The purpose of this paper is to elaborate on the theme of the relevance of IS research. Based on recent experiments and experiences in the borderland between research and practice and politics we suggest some additions to the discussion of the IS research relevance in Fitzgerald (2001. One addition concerns relevance to whom, where we suggest considering a regional relevance through cultivation of regional IS knowledge networks. Such networks comprise regional knowledge production in collaboration between researchers and practitioners, and results are made public and tested in other organizations in addition to the research sites. This is closely related to the view of knowledge and research put forward by American pragmatism. A second addition is to complement Fitzgerald's suggestion to expose researchers to practice with the suggestion to expose practitioners to research. It is just as difficult to learn the 'true nature' of research from reading the executive summary in MIS Quarterly as it is to learn the 'true nature' of practice from a couple of interviews with practitioners. A regional IS knowledge network is an excellent opportunity for such double exposure.

The Effects of Prior Knowledge Activation on Study Time Allocation and Free Recall: Investigating the Discrepancy Reduction Model

NARCIS (Netherlands)

P.P.J.L. Verkoeijen (Peter); R.M.J.P. Rikers (Remy); H.G. Schmidt (Henk)

2005-01-01

textabstractIn this study, the authors examined the influence of prior knowledge activation on information processing by means of a prior knowledge activation procedure adopted from the read–generate paradigm. On the basis of cue-target pairs, participants in the experimental groups generated two

Attitude importance and the accumulation of attitude-relevant knowledge in memory.

Science.gov (United States)

Holbrook, Allyson L; Berent, Matthew K; Krosnick, Jon A; Visser, Penny S; Boninger, David S

2005-05-01

People who attach personal importance to an attitude are especially knowledgeable about the attitude object. This article tests an explanation for this relation: that importance causes the accumulation of knowledge by inspiring selective exposure to and selective elaboration of relevant information. Nine studies showed that (a) after watching televised debates between presidential candidates, viewers were better able to remember the statements made on policy issues on which they had more personally important attitudes; (b) importance motivated selective exposure and selective elaboration: Greater personal importance was associated with better memory for relevant information encountered under controlled laboratory conditions, and manipulations eliminating opportunities for selective exposure and selective elaboration eliminated the importance-memory accuracy relation; and (c) people do not use perceptions of their knowledge volume to infer how important an attitude is to them, but importance does cause knowledge accumulation.

Prior knowledge about objects determines neural color representation in human visual cortex

NARCIS (Netherlands)

Vandenbroucke, A.R.E.; Fahrenfort, J.J.; Meuwese, J.D.I.; Scholte, H.S.; Lamme, V.A.F.

2016-01-01

To create subjective experience, our brain must translate physical stimulus input by incorporating prior knowledge and expectations. For example, we perceive color and not wavelength information, and this in part depends on our past experience with colored objects ( Hansen et al. 2006; Mitterer and

Can Prior Knowledge Hurt Text Comprehension? An Answer Borrowed from Plato, Aristotle, and Descartes.

Science.gov (United States)

Friedman, Lawrence B.

Taking a philosophical approach based on what Plato, Aristotle, and Descartes said about knowledge, this paper addresses some of the murkiness in the conceptual space surrounding the issue of whether prior knowledge does or does not facilitate text comprehension. Specifically, the paper first develops a non-exhaustive typology of cases in which…

Understanding foreign language teachers’ practical knowledge: What’s the role of prior language learning experience?

Directory of Open Access Journals (Sweden)

Sibel Arıoğul

2007-04-01

Full Text Available Teachers’ practical knowledge is considered as teachers’ general knowledge, beliefsand thinking (Borg, 2003 which can be traced in teachers’ practices (Connelly & Clandinin,1988 and shaped by various background sources (Borg, 2003; Grossman, 1990; Meijer,Verloop, and Beijard, 1999. This paper initially discusses how language teachers areinfluenced by three background sources: teachers’ prior language learning experiences, priorteaching experience, and professional coursework in pre- and in-service education. Bydrawing its data from the author’s longitidunal study, it also presents the findings of a crosscasetheme emerged from the investigation of three English as a foreign language (EFLteachers’ prior language learning experiences. The paper also discusses how the participationin studies on teachers’ knowledge raises teachers’ own awareness while it informs theresearch.

Lung cancer gene expression database analysis incorporating prior knowledge with support vector machine-based classification method

Directory of Open Access Journals (Sweden)

Huang Desheng

2009-07-01

Full Text Available Abstract Background A reliable and precise classification is essential for successful diagnosis and treatment of cancer. Gene expression microarrays have provided the high-throughput platform to discover genomic biomarkers for cancer diagnosis and prognosis. Rational use of the available bioinformation can not only effectively remove or suppress noise in gene chips, but also avoid one-sided results of separate experiment. However, only some studies have been aware of the importance of prior information in cancer classification. Methods Together with the application of support vector machine as the discriminant approach, we proposed one modified method that incorporated prior knowledge into cancer classification based on gene expression data to improve accuracy. A public well-known dataset, Malignant pleural mesothelioma and lung adenocarcinoma gene expression database, was used in this study. Prior knowledge is viewed here as a means of directing the classifier using known lung adenocarcinoma related genes. The procedures were performed by software R 2.80. Results The modified method performed better after incorporating prior knowledge. Accuracy of the modified method improved from 98.86% to 100% in training set and from 98.51% to 99.06% in test set. The standard deviations of the modified method decreased from 0.26% to 0 in training set and from 3.04% to 2.10% in test set. Conclusion The method that incorporates prior knowledge into discriminant analysis could effectively improve the capacity and reduce the impact of noise. This idea may have good future not only in practice but also in methodology.

Effects of Prior Knowledge in Mathematics on Learner-Interface Interactions in a Learning-by-Teaching Intelligent Tutoring System

Science.gov (United States)

Bringula, Rex P.; Basa, Roselle S.; Dela Cruz, Cecilio; Rodrigo, Ma. Mercedes T.

2016-01-01

This study attempted to determine the influence of prior knowledge in mathematics of students on learner-interface interactions in a learning-by-teaching intelligent tutoring system. One hundred thirty-nine high school students answered a pretest (i.e., the prior knowledge in mathematics) and a posttest. In between the pretest and posttest, they…

THE LEVEL OF KNOWLEDGE IN THE VALUE RELEVANCE LITERATURE

Directory of Open Access Journals (Sweden)

Mihaela Alina ROBU

2014-12-01

Full Text Available In the last decades, numerous studies have covered the relationship between stock price or stock return and financial information. These studies represent the "value-relevance" literature. Knowledge of this area of interest, through literature and the main ideas, yields scientific progress. The aim of the study is to achieve a qualitative and a quantitative analysis regarding the level of knowledge in the value relevance literature, in an international context. To achieve this aim, a number of 53 scientific articles published between 2001 and 2013 were selected, from the first two journals related to the number of citations in the rankings compiled by Google Scholar, Accounting and Taxation category. Qualitative analysis and quantitative analysis (factorial analysis of multiple correspondences as statistical method were used. The results reflect the importance of existing problems in the financial markets. The studies are focused on solving these problems, to support the investors.

Relevant factors for tacit knowledge transfer within organizations: an exploratory study

OpenAIRE

Lemos,Bernardo; Joia,Luiz Antonio

2012-01-01

Knowledge and management of such knowledge have been studied for some time now in the field of Management. However, in the 1990s, with the growth in the economy based on intangible assets, companies needed more than an unstructured approach to corporate knowledge management to succeed in this new competitive environment. Therefore, this article aims to identify, in an exploratory way, the relevant factors for tacit knowledge transfer within a major Brazilian oil company trough a case study. T...

Electronic patient records in action: Transforming information into professionally relevant knowledge.

Science.gov (United States)

Winman, Thomas; Rystedt, Hans

2011-03-01

The implementation of generic models for organizing information in complex institutions like those in healthcare creates a gap between standardization and the need for locally relevant knowledge. The present study addresses how this gap can be bridged by focusing on the practical work of healthcare staff in transforming information in EPRs into knowledge that is useful for everyday work. Video recording of shift handovers on a rehabilitation ward serves as the empirical case. The results show how extensive selections and reorganizations of information in EPRs are carried out in order to transform information into professionally relevant accounts. We argue that knowledge about the institutional obligations and professional ways of construing information are fundamental for these transitions. The findings point to the need to consider the role of professional knowledge inherent in unpacking information in efforts to develop information systems intended to bridge between institutional and professional boundaries in healthcare. © The Author(s) 2011.

Making Connections in Math: Activating a Prior Knowledge Analogue Matters for Learning

Science.gov (United States)

Sidney, Pooja G.; Alibali, Martha W.

2015-01-01

This study investigated analogical transfer of conceptual structure from a prior-knowledge domain to support learning in a new domain of mathematics: division by fractions. Before a procedural lesson on division by fractions, fifth and sixth graders practiced with a surface analogue (other operations on fractions) or a structural analogue (whole…

Feedback Both Helps and Hinders Learning: The Causal Role of Prior Knowledge

Science.gov (United States)

Fyfe, Emily R.; Rittle-Johnson, Bethany

2016-01-01

Feedback can be a powerful learning tool, but its effects vary widely. Research has suggested that learners' prior knowledge may moderate the effects of feedback; however, no causal link has been established. In Experiment 1, we randomly assigned elementary school children (N = 108) to a condition based on a crossing of 2 factors: induced strategy…

Rationalising prescribing: Evidence, marketing and practice-relevant knowledge.

Science.gov (United States)

Wadmann, Sarah; Bang, Lia E

2015-06-01

Initiatives in the name of 'rational pharmacotherapy' have been launched to alter what is seen as 'inappropriate' prescribing practices of physicians. Based on observations and interviews with 20 general practitioners (GPs) in 2009-2011, we explored how attempts to rationalise prescribing interact with chronic care management in Denmark. We demonstrate how attempts to rationalise prescribing by informing GPs about drug effects, adverse effects and price do not satisfy GPs' knowledge needs. We argue that, for GPs, 'rational' prescribing cannot be understood in separation from the processes that enable patients to use medication. Therefore, GPs do much more to obtain knowledge about medications than seek advice on 'rational pharmacotherapy'. For instance, GPs also seek opportunities to acquaint themselves with the material objects of medication and medical devices. We conceptualise the knowledge needs of GPs as a need for practice-relevant knowledge and argue that industry sales representatives are granted opportunity to access general practice because they understand this need of GPs. Copyright © 2015 Elsevier Ltd. All rights reserved.

A matter of prior knowledge: Canadian young children’s conceptions about the future in the global community

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Ottilia CHAREKA

2010-03-01

Full Text Available Young Canadian boys and girls aged nine to eleven were asked to consider their personal futures, the future of their community and the future of the world. Mixed methods were employed for data collection and analysis. Responses were compared with those given bychildren in eight countries and the discussion focused on the importance prior knowledge, in this case, prior knowledge of global issues, holds for effective teaching and learning about global issues. Canadian children were optimistic about the future for themselves and their community but less so for the globe. More so than other children, Canadian children were concerned with issues of social justice, issues such as discrimination and racism, and withimproving the environment, which might be attributed to the emphasis that is placed on these issues in their school curriculum. Assessing prior knowledge should be a priority for those considering development and implementation of global education curricula.

Factors affecting learning of vector math from computer-based practice: Feedback complexity and prior knowledge

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Andrew F. Heckler

2016-06-01

Full Text Available In experiments including over 450 university-level students, we studied the effectiveness and time efficiency of several levels of feedback complexity in simple, computer-based training utilizing static question sequences. The learning domain was simple vector math, an essential skill in introductory physics. In a unique full factorial design, we studied the relative effects of “knowledge of correct response” feedback and “elaborated feedback” (i.e., a general explanation both separately and together. A number of other factors were analyzed, including training time, physics course grade, prior knowledge of vector math, and student beliefs about both their proficiency in and the importance of vector math. We hypothesize a simple model predicting how the effectiveness of feedback depends on prior knowledge, and the results confirm this knowledge-by-treatment interaction. Most notably, elaborated feedback is the most effective feedback, especially for students with low prior knowledge and low course grade. In contrast, knowledge of correct response feedback was less effective for low-performing students, and including both kinds of feedback did not significantly improve performance compared to elaborated feedback alone. Further, while elaborated feedback resulted in higher scores, the learning rate was at best only marginally higher because the training time was slightly longer. Training time data revealed that students spent significantly more time on the elaborated feedback after answering a training question incorrectly. Finally, we found that training improved student self-reported proficiency and that belief in the importance of the learned domain improved the effectiveness of training. Overall, we found that computer based training with static question sequences and immediate elaborated feedback in the form of simple and general explanations can be an effective way to improve student performance on a physics essential skill

Evolution of Industry Knowledge in the Public Domain: Prior Art Searching for Software Patents

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Jinseok Park

2005-03-01

Full Text Available Searching prior art is a key part of the patent application and examination processes. A comprehensive prior art search gives the inventor ideas as to how he can improve or circumvent existing technology by providing up to date knowledge on the state of the art. It also enables the patent applicant to minimise the likelihood of an objection from the patent office. This article explores the characteristics of prior art associated with software patents, dealing with difficulties in searching prior art due to the lack of resources, and considers public contribution to the formation of prior art databases. It addresses the evolution of electronic prior art in line with technological development, and discusses laws and practices in the EPO, USPTO, and the JPO in relation to the validity of prior art resources on the Internet. This article also investigates the main features of searching sources and tools in the three patent offices as well as non-patent literature databases. Based on the analysis of various searching databases, it provides some strategies of efficient prior art searching that should be considered for software-related inventions.

Improving Industry-Relevant Nuclear-Knowledge Development through Special Partnerships

International Nuclear Information System (INIS)

Cilliers, A.

2016-01-01

Full text: South African Network for Nuclear Education Science and Technology (SAN NEST) has the objective to develop the nuclear education system in South Africa to a point where suitably qualified and experienced nuclear personnel employed by nuclear science and technology programmes in South Africa are predominantly produced by the South African education system. This is done to strengthen the nuclear science and technology education programmes to better meet future demands in terms of quality, capacity and relevance. To ensure sustainable relevance, it is important to develop special partnerships with industry. This paper describes unique partnerships that were developed with nuclear industry partners. The success of these partnerships has ensured more industry partners to embrace the model which has proven to develop relevant knowledge, support research and provide innovative solutions for industry. (author

The Influence of Age-Related Differences in Prior Knowledge and Attentional Refreshing Opportunities on Episodic Memory.

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Loaiza, Vanessa M; Rhodes, Matthew G; Anglin, Julia

2015-09-01

The assumption that working memory (WM) is embedded within long-term memory suggests that the effectiveness of switching information between activated states in WM (i.e., attentional refreshing) may depend on whether that information is semantically relevant. Given that older adults often have greater general knowledge than younger adults, age-related deficits in episodic memory (EM) could be ameliorated by studying information that has existing semantic representations compared with unknown information. Younger and older adults completed a modified operation span task that varied the number of refreshing opportunities. The memoranda used were equally known to younger and older adults (neutral words; e.g., father), better known to older adults than younger adults (dated words; e.g., mirth), or unknown to both groups (unknown words; e.g., cobot). Results for immediate and delayed recall indicated an age-related improvement for dated memoranda and no age difference for unknown memoranda. Furthermore, refreshing opportunities predicted delayed recall of neutral memoranda more strongly for younger adults than older adults, whereas older adults' recall advantage for dated memoranda was explained by their prior knowledge and not refreshing opportunities. The results suggest that older adults' EM deficits could potentially be ameliorated by incorporating their superior knowledge to supplement relatively ineffective attentional refreshing in WM. © The Author 2013. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Investigating the Effectiveness of Inquiry-Based Instruction on Students with Different Prior Knowledge and Reading Abilities

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Wang, Jing-Ru; Wang, Yuh-Chao; Tai, Hsin-Jung; Chen, Wen-Ju

2010-01-01

This study examined the differential impacts of an inquiry-based instruction on conceptual changes across levels of prior knowledge and reading ability. The instrument emphasized four simultaneously important components: conceptual knowledge, reading ability, attitude toward science, and learning environment. Although the learning patterns and…

A matter of prior knowledge: Canadian young children’s conceptions about the future in the global community

Directory of Open Access Journals (Sweden)

Ottilia Chareka

2010-03-01

Full Text Available Young Canadian boys and girls aged nine to eleven were asked to consider their personal futures, the future of their community and the future of the world. Mixed methods were employed for data collection and analysis. Responses were compared with those given by children in eight countries and the discussion focused on the importance prior knowledge, in this case, prior knowledge of global issues, holds for effective teaching and learning about global issues. Canadian children were optimistic about the future for themselves and their community but less so for the globe. More so than other children, Canadian children were concerned with issues of social justice, issues such as discrimination and racism, and with improving the environment, which might be attributed to the emphasis that is placed on these issues in their school curriculum. Assessing prior knowledge should be a priority for those considering development and implementation of global education curricula.

Algorithms and tools for system identification using prior knowledge

International Nuclear Information System (INIS)

Lindskog, P.

1994-01-01

One of the hardest problems in system identification is that of model structure selection. In this thesis two different kinds of a priori process knowledge are used to address this fundamental problem. Concentrating on linear model structures, the first prior advantage of is knowledge about the systems' dominating time constants and resonance frequencies. The idea is to generalize FIR modelling by replacing the usual delay operator with discrete so-called Laguerre or Kautz filters. The generalization is such that stability, the linear regression structure and the approximation ability of the FIR model structure is retained, whereas the prior is used to reduce the number of parameters needed to arrive at a reasonable model. Tailorized and efficient system identification algorithms for these model structures are detailed in this work. The usefulness of the proposed methods is demonstrated through concrete simulation and application studies. The other approach is referred to as semi-physical modelling. The main idea is to use simple physical insight into the application, often in terms of a set of unstructured equations, in order to come up with suitable nonlinear transformation of the raw measurements, so as to allow for a good model structure. Semi-physical modelling is less ''ambitious'' than physical modelling in that no complete physical structure is sought, just combinations of inputs and outputs that can be subjected to more or less standard model structures, such as linear regressions. The suggested modelling procedure shows a first step where symbolic computations are employed to determine a suitable model structure - a set of regressors. We show how constructive methods from commutative and differential algebra can be applied for this. Subsequently, different numerical schemes for finding a subset of ''good'' regressors and for estimating the corresponding linear-in-the-parameters model are discussed. 107 refs, figs, tabs

Is an Illustration Always Worth Ten Thousand Words? Effects of Prior Knowledge, Learning Style and Multimedia Illustrations on Text Comprehension.

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Ollerenshaw, Alison; Aidman, Eugene; Kidd, Garry

1997-01-01

This study examined comprehension in four groups of undergraduates under text only, multimedia, and two diagram conditions of text supplementation. Results indicated that effects of text supplementation are mediated by prior knowledge and learning style: multimedia appears more beneficial to surface learners with little prior knowledge and makes…

The Influence of Prior Knowledge on Perception and Action: Relationships to Autistic Traits

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Buckingham, Gavin; Michelakakis, Elizabeth Evgenia; Rajendran, Gnanathusharan

2016-01-01

Autism is characterised by a range of perceptual and sensorimotor deficits, which might be related to abnormalities in how autistic individuals use prior knowledge. We investigated this proposition in a large non-clinical population in the context of the size-weight illusion, where individual's expectations about object weight influence their…

Does Teaching Experience Matter? Examining Biology Teachers' Prior Knowledge for Teaching in an Alternative Certification Program

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Friedrichsen, Patricia J.; Abell, Sandra K.; Pareja, Enrique M.; Brown, Patrick L.; Lankford, Deanna M.; Volkmann, Mark J.

2009-01-01

Alternative certification programs (ACPs) have been proposed as a viable way to address teacher shortages, yet we know little about how teacher knowledge develops within such programs. The purpose of this study was to investigate prior knowledge for teaching among students entering an ACP, comparing individuals with teaching experience to those…

Effect of Prior Cardiopulmonary Resuscitation Knowledge on Compression Performance by Hospital Providers

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Joshua N. Burkhardt

2014-07-01

Full Text Available Introduction: The purpose of this study was to determine cardiopulmonary resuscitation (CPR knowledge of hospital providers and whether knowledge affects performance of effective compressions during a simulated cardiac arrest. Methods: This cross-sectional study evaluated the CPR knowledge and performance of medical students and ED personnel with current CPR certification. We collected data regarding compression rate, hand placement, depth, and recoil via a questionnaire to determine knowledge, and then we assessed performance using 60 seconds of compressions on a simulation mannequin. Results: Data from 200 enrollments were analyzed by evaluators blinded to subject knowledge. Regarding knowledge, 94% of participants correctly identified parameters for rate, 58% for hand placement, 74% for depth, and 94% for recoil. Participants identifying an effective rate of ≥100 performed compressions at a significantly higher rate than participants identifying <100 (µ=117 vs. 94, p<0.001. Participants identifying correct hand placement performed significantly more compressions adherent to guidelines than those identifying incorrect placement (µ=86% vs. 72%, p<0.01. No significant differences were found in depth or recoil performance based on knowledge of guidelines. Conclusion: Knowledge of guidelines was variable; however, CPR knowledge significantly impacted certain aspects of performance, namely rate and hand placement, whereas depth and recoil were not affected. Depth of compressions was poor regardless of prior knowledge, and knowledge did not correlate with recoil performance. Overall performance was suboptimal and additional training may be needed to ensure consistent, effective performance and therefore better outcomes after cardiopulmonary arrest.

Effects of Example Variability and Prior Knowledge in How Students Learn to Solve Equations

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Guo, Jian-Peng; Yang, Ling-Yan; Ding, Yi

2014-01-01

Researchers have consistently demonstrated that multiple examples are better than one example in facilitating learning because the comparison evoked by multiple examples supports learning and transfer. However, research outcomes are unclear regarding the effects of example variability and prior knowledge on learning from comparing multiple…

Sex differences in foreign language text comprehension : The role of interests and prior knowledge

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Bügel, K; Buunk, Abraham (Bram)

1996-01-01

The scores obtained by female students on the national foreign language examinations in the Netherlands have been slightly but consistently lower than those of male students. The present research among 2980 high school students tested the hypothesis that, owing to sex differences in prior knowledge

Effects of informed consent for individual genome sequencing on relevant knowledge.

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Kaphingst, K A; Facio, F M; Cheng, M-R; Brooks, S; Eidem, H; Linn, A; Biesecker, B B; Biesecker, L G

2012-11-01

Increasing availability of individual genomic information suggests that patients will need knowledge about genome sequencing to make informed decisions, but prior research is limited. In this study, we examined genome sequencing knowledge before and after informed consent among 311 participants enrolled in the ClinSeq™ sequencing study. An exploratory factor analysis of knowledge items yielded two factors (sequencing limitations knowledge; sequencing benefits knowledge). In multivariable analysis, high pre-consent sequencing limitations knowledge scores were significantly related to education [odds ratio (OR): 8.7, 95% confidence interval (CI): 2.45-31.10 for post-graduate education, and OR: 3.9; 95% CI: 1.05, 14.61 for college degree compared with less than college degree] and race/ethnicity (OR: 2.4, 95% CI: 1.09, 5.38 for non-Hispanic Whites compared with other racial/ethnic groups). Mean values increased significantly between pre- and post-consent for the sequencing limitations knowledge subscale (6.9-7.7, p benefits knowledge subscale (7.0-7.5, p < 0.0001); increase in knowledge did not differ by sociodemographic characteristics. This study highlights gaps in genome sequencing knowledge and underscores the need to target educational efforts toward participants with less education or from minority racial/ethnic groups. The informed consent process improved genome sequencing knowledge. Future studies could examine how genome sequencing knowledge influences informed decision making. © 2012 John Wiley & Sons A/S.

Integration of prior knowledge into dense image matching for video surveillance

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Menze, M.; Heipke, C.

2014-08-01

Three-dimensional information from dense image matching is a valuable input for a broad range of vision applications. While reliable approaches exist for dedicated stereo setups they do not easily generalize to more challenging camera configurations. In the context of video surveillance the typically large spatial extent of the region of interest and repetitive structures in the scene render the application of dense image matching a challenging task. In this paper we present an approach that derives strong prior knowledge from a planar approximation of the scene. This information is integrated into a graph-cut based image matching framework that treats the assignment of optimal disparity values as a labelling task. Introducing the planar prior heavily reduces ambiguities together with the search space and increases computational efficiency. The results provide a proof of concept of the proposed approach. It allows the reconstruction of dense point clouds in more general surveillance camera setups with wider stereo baselines.

Comprehension challenges in the fourth grade: The roles of text cohesion, text genre, and readers’ prior knowledge

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Danielle S. McNamara

2011-07-01

Full Text Available We examined young readers’ comprehension as a function of text genre (narrative, science, text cohesion (high, low, and readers’ abilities (reading decoding skills and world knowledge. The overarching purpose of this study was to contribute to our understanding of the fourth grade slump. Children in grade 4 read four texts, including one high and one low cohesion text from each genre. Comprehension of each text was assessed with 12 multiple-choice questions and free and cued recall. Comprehension was enhanced by increased knowledge: high knowledge readers showed better comprehension than low knowledge readers and narratives were comprehended better than science texts. Interactions between readers’ knowledge levels and text characteristics indicated that the children showed larger effects of knowledge for science than for narrative texts, and those with more knowledge better understood the low cohesion, narrative texts, showing a reverse cohesion effect. Decoding skill benefited comprehension, but effects of text genre and cohesion depended less on decoding skill than prior knowledge. Overall, the study indicates that the fourth grade slump is at least partially attributable to the emergence of complex dependencies between the nature of the text and the reader’s prior knowledge. The results also suggested that simply adding cohesion cues, and not explanatory information, is not likely to be sufficient for young readers as an approach to improving comprehension of challenging texts.

Comprehension challenges in the fourth grade: The roles of text cohesion, text genre, and readers’ prior knowledge

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Danielle S. McNAMARA

2011-11-01

Full Text Available We examined young readers’ comprehension as a function of text genre (narrative, science, text cohesion (high, low, and readers’ abilities (reading decoding skills and world knowledge. The overarching purpose of this study was to contribute to our understanding of the fourth grade slump. Children in grade 4 read four texts, including one high and one low cohesion text from each genre. Comprehension of each text was assessed with 12 multiple-choice questions and free and cued recall. Comprehension was enhanced by increased knowledge: high knowledge readers showed bettercomprehension than low knowledge readers and narratives were comprehended better than science texts. Interactions between readers’ knowledge levels and text characteristics indicated that thechildren showed larger effects of knowledge for science than for narrative texts, and those with more knowledge better understood the low cohesion, narrative texts, showing a reverse cohesion effect.Decoding skill benefited comprehension, but effects of text genre and cohesion depended less on decoding skill than prior knowledge. Overall, the study indicates that the fourth grade slump is at leastpartially attributable to the emergence of complex dependencies between the nature of the text and the reader’s prior knowledge. The results also suggested that simply adding cohesion cues, and notexplanatory information, is not likely to be sufficient for young readers as an approach to improving comprehension of challenging texts.

How Prior Knowledge and Colour Contrast Interfere Visual Search Processes in Novice Learners: An Eye Tracking Study

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Sonmez, Duygu; Altun, Arif; Mazman, Sacide Guzin

2012-01-01

This study investigates how prior content knowledge and prior exposure to microscope slides on the phases of mitosis effect students' visual search strategies and their ability to differentiate cells that are going through any phases of mitosis. Two different sets of microscope slide views were used for this purpose; with high and low colour…

Exploring the Relationship between Prior Knowledge on Rain Gardens and Supports for Adopting Rain Gardens Using a Structural Equation Model

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Suyeon Kim

2018-05-01

Full Text Available The objective of this study was to determine the effect of prior knowledge and visual evaluation on supports for rain garden installations. To achieve this objective, a survey was conducted to obtain prior knowledge of rain gardens, rain garden implementation support ratings, and visual evaluation of rain gardens in 100 visitors of three rain garden sites. Results of the analysis revealed that users’ visual evaluation of rain gardens played a role as a moderator in the relationship between prior knowledge and support for rain garden installations. In other words, education and publicity of rain gardens alone cannot increase support for rain gardens. However, if rain gardens are visually evaluated positively, the effects of education and publicity of rain gardens can be expected. Therefore, to successfully apply a rain garden policy in the future, basic consideration should be given to aesthetics in order to meet visitors’ visual expectations prior to education and publicity of rain gardens.

Prior Knowledge and the Learning of Science. A Review of Ausubel's Theory of This Process

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West, L. H. T.; Fensham, P. J.

1974-01-01

Examines Ausubel's theory of learning as a model of the role concerning the influence of prior knowledge on how learning occurs. Research evidence for Ausubel's theory is presented and discussed. Implications of Ausubel's theory for teaching are summarized. (PEB)

Selective influence of prior allocentric knowledge on the kinesthetic learning of a path.

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Lafon, Matthieu; Vidal, Manuel; Berthoz, Alain

2009-04-01

Spatial cognition studies have described two main cognitive strategies involved in the memorization of traveled paths in human navigation. One of these strategies uses the action-based memory (egocentric) of the traveled route or paths, which involves kinesthetic memory, optic flow, and episodic memory, whereas the other strategy privileges a survey memory of cartographic type (allocentric). Most studies have dealt with these two strategies separately, but none has tried to show the interaction between them in spite of the fact that we commonly use a map to imagine our journey and then proceed using egocentric navigation. An interesting question is therefore: how does prior allocentric knowledge of the environment affect the egocentric, purely kinesthetic navigation processes involved in human navigation? We designed an experiment in which blindfolded subjects had first to walk and memorize a path with kinesthetic cues only. They had previously been shown a map of the path, which was either correct or distorted (consistent shrinking or growing). The latter transformations were studied in order to observe what influence a distorted prior knowledge could have on spatial mechanisms. After having completed the first learning travel along the path, they had to perform several spatial tasks during the testing phase: (1) pointing towards the origin and (2) to specific points encountered along the path, (3) a free locomotor reproduction, and (4) a drawing of the memorized path. The results showed that prior cartographic knowledge influences the paths drawn and the spatial inference capacity, whereas neither locomotor reproduction nor spatial updating was disturbed. Our results strongly support the notion that (1) there are two independent neural bases underlying these mechanisms: a map-like representation allowing allocentric spatial inferences, and a kinesthetic memory of self-motion in space; and (2) a common use of, or a switching between, these two strategies is

Memory integration in amnesia: prior knowledge supports verbal short-term memory.

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Race, Elizabeth; Palombo, Daniela J; Cadden, Margaret; Burke, Keely; Verfaellie, Mieke

2015-04-01

Short-term memory (STM) and long-term memory (LTM) have traditionally been considered cognitively distinct. However, it is known that STM can improve when to-be-remembered information appears in contexts that make contact with prior knowledge, suggesting a more interactive relationship between STM and LTM. The current study investigated whether the ability to leverage LTM in support of STM critically depends on the integrity of the hippocampus. Specifically, we investigated whether the hippocampus differentially supports between-domain versus within-domain STM-LTM integration given prior evidence that the representational domain of the elements being integrated in memory is a critical determinant of whether memory performance depends on the hippocampus. In Experiment 1, we investigated hippocampal contributions to within-domain STM-LTM integration by testing whether immediate verbal recall of words improves in MTL amnesic patients when words are presented in familiar verbal contexts (meaningful sentences) compared to unfamiliar verbal contexts (random word lists). Patients demonstrated a robust sentence superiority effect, whereby verbal STM performance improved in familiar compared to unfamiliar verbal contexts, and the magnitude of this effect did not differ from that in controls. In Experiment 2, we investigated hippocampal contributions to between-domain STM-LTM integration by testing whether immediate verbal recall of digits improves in MTL amnesic patients when digits are presented in a familiar visuospatial context (a typical keypad layout) compared to an unfamiliar visuospatial context (a random keypad layout). Immediate verbal recall improved in both patients and controls when digits were presented in the familiar compared to the unfamiliar keypad array, indicating a preserved ability to integrate activated verbal information with stored visuospatial knowledge. Together, these results demonstrate that immediate verbal recall in amnesia can benefit from two

Stochastic formulation of patient positioning using linac-mounted cone beam imaging with prior knowledge

International Nuclear Information System (INIS)

Hoegele, W.; Loeschel, R.; Dobler, B.; Hesser, J.; Koelbl, O.; Zygmanski, P.

2011-01-01

Purpose: In this work, a novel stochastic framework for patient positioning based on linac-mounted CB projections is introduced. Based on this formulation, the most probable shifts and rotations of the patient are estimated, incorporating interfractional deformations of patient anatomy and other uncertainties associated with patient setup. Methods: The target position is assumed to be defined by and is stochastically determined from positions of various features such as anatomical landmarks or markers in CB projections, i.e., radiographs acquired with a CB-CT system. The patient positioning problem of finding the target location from CB projections is posed as an inverse problem with prior knowledge and is solved using a Bayesian maximum a posteriori (MAP) approach. The prior knowledge is three-fold and includes the accuracy of an initial patient setup (such as in-room laser and skin marks), the plasticity of the body (relative shifts between target and features), and the feature detection error in CB projections (which may vary depending on specific detection algorithm and feature type). For this purpose, MAP estimators are derived and a procedure of using them in clinical practice is outlined. Furthermore, a rule of thumb is theoretically derived, relating basic parameters of the prior knowledge (initial setup accuracy, plasticity of the body, and number of features) and the parameters of CB data acquisition (number of projections and accuracy of feature detection) to the expected estimation accuracy. Results: MAP estimation can be applied to arbitrary features and detection algorithms. However, to experimentally demonstrate its applicability and to perform the validation of the algorithm, a water-equivalent, deformable phantom with features represented by six 1 mm chrome balls were utilized. These features were detected in the cone beam projections (XVI, Elekta Synergy) by a local threshold method for demonstration purposes only. The accuracy of estimation

Developing Conceptual Understanding of Natural Selection: The Role of Interest, Efficacy, and Basic Prior Knowledge

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Linnenbrink-Garcia, Lisa; Pugh, Kevin J.; Koskey, Kristin L. K.; Stewart, Victoria C.

2012-01-01

Changes in high school students' (n = 94) conceptions of natural selection were examined as a function of motivational beliefs (individual interest, academic self-efficacy), basic prior knowledge, and gender across three assessments (pre, post, follow-up). Results from variable-centered analyses suggested that these variables had relatively little…

Building on prior knowledge: schema-dependent encoding processes relate to academic performance.

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van Kesteren, Marlieke T R; Rijpkema, Mark; Ruiter, Dirk J; Morris, Richard G M; Fernández, Guillén

2014-10-01

The acquisition and retention of conceptual knowledge is more effective in well-structured curricula that provide an optimal conceptual framework for learning new material. However, the neural mechanisms by which preexisting conceptual schemas facilitate learning are not yet well understood despite their fundamental importance. A preexisting schema has been shown to enhance memory by influencing the balance between activity within the medial-temporal lobe and the medial pFC during mnemonic processes such as encoding, consolidation, and retrieval. Specifically, correctly encoding and retrieving information that is related to preexisting schemas appears rather related to medial prefrontal processing, whereas information unrelated or inconsistent with preexisting schemas rather relates to enhanced medial temporal processing and enhanced interaction between these structures. To further investigate interactions between these regions during conceptual encoding in a real-world university setting, we probed human brain activity and connectivity using fMRI during educationally relevant conceptual encoding carefully embedded within two course programs. Early second-year undergraduate biology and education students were scanned while encoding new facts that were either related or unrelated to the preexisting conceptual knowledge they had acquired during their first year of study. Subsequently, they were tested on their knowledge of these facts 24 hr later. Memory scores were better for course-related information, and this enhancement was associated with larger medial-prefrontal, but smaller medial-temporal subsequent memory effects. These activity differences went along with decreased functional interactions between these regions. Furthermore, schema-related medial-prefrontal subsequent memory effects measured during this experiment were found to be predictive of second-year course performance. These results, obtained in a real-world university setting, reveal brain

GO-PCA: An Unsupervised Method to Explore Gene Expression Data Using Prior Knowledge.

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Wagner, Florian

2015-01-01

Genome-wide expression profiling is a widely used approach for characterizing heterogeneous populations of cells, tissues, biopsies, or other biological specimen. The exploratory analysis of such data typically relies on generic unsupervised methods, e.g. principal component analysis (PCA) or hierarchical clustering. However, generic methods fail to exploit prior knowledge about the molecular functions of genes. Here, I introduce GO-PCA, an unsupervised method that combines PCA with nonparametric GO enrichment analysis, in order to systematically search for sets of genes that are both strongly correlated and closely functionally related. These gene sets are then used to automatically generate expression signatures with functional labels, which collectively aim to provide a readily interpretable representation of biologically relevant similarities and differences. The robustness of the results obtained can be assessed by bootstrapping. I first applied GO-PCA to datasets containing diverse hematopoietic cell types from human and mouse, respectively. In both cases, GO-PCA generated a small number of signatures that represented the majority of lineages present, and whose labels reflected their respective biological characteristics. I then applied GO-PCA to human glioblastoma (GBM) data, and recovered signatures associated with four out of five previously defined GBM subtypes. My results demonstrate that GO-PCA is a powerful and versatile exploratory method that reduces an expression matrix containing thousands of genes to a much smaller set of interpretable signatures. In this way, GO-PCA aims to facilitate hypothesis generation, design of further analyses, and functional comparisons across datasets.

Learners' strategies for reconstructing cognitive frameworks and navigating conceptual change from prior conception to consensual genetics knowledge

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Parrott, Annette M.

Problem. Science teachers are charged with preparing students to become scientifically literate individuals. Teachers are given curriculum that specifies the knowledge that students should come away with; however, they are not necessarily aware of the knowledge with which the student arrives or how best to help them navigate between the two knowledge states. Educators must be aware, not only of where their students are conceptually, but how their students move from their prior knowledge and naive theories, to scientifically acceptable theories. The understanding of how students navigate this course has the potential to revolutionize educational practices. Methods. This study explored how five 9th grade biology students reconstructed their cognitive frameworks and navigated conceptual change from prior conception to consensual genetics knowledge. The research questions investigated were: (1) how do students in the process of changing their naive science theories to accepted science theories describe their journey from prior knowledge to current conception, and (2) what are the methods that students utilize to bridge the gap between alternate and consensual science conceptions to effect conceptual change. Qualitative and quantitative methods were employed to gather and analyze the data. In depth, semi-structured interviews formed the primary data for probing the context and details of students' conceptual change experience. Primary interview data was coded by thematic analysis. Results and discussion. This study revealed information about students' perceived roles in learning, the role of articulation in the conceptual change process, and ways in which a community of learners aids conceptual change. It was ascertained that students see their role in learning primarily as repeating information until they could add that information to their knowledge. Students are more likely to consider challenges to their conceptual frameworks and be more motivated to become active

Creating Illusions of Knowledge: Learning Errors that Contradict Prior Knowledge

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Fazio, Lisa K.; Barber, Sarah J.; Rajaram, Suparna; Ornstein, Peter A.; Marsh, Elizabeth J.

2013-01-01

Most people know that the Pacific is the largest ocean on Earth and that Edison invented the light bulb. Our question is whether this knowledge is stable, or if people will incorporate errors into their knowledge bases, even if they have the correct knowledge stored in memory. To test this, we asked participants general-knowledge questions 2 weeks…

Effects of prior knowledge on learning from different compositions of representations in a mobile learning environment

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T.-C. Liu (Tzu-Chien); Y.-C. Lin (Yi-Chun); G.W.C. Paas (Fred)

2014-01-01

textabstractTwo experiments examined the effects of prior knowledge on learning from different compositions of multiple representations in a mobile learning environment on plant leaf morphology for primary school students. Experiment 1 compared the learning effects of a mobile learning environment

The Effects of Prior-Knowledge and Online Learning Approaches on Students' Inquiry and Argumentation Abilities

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Yang, Wen-Tsung; Lin, Yu-Ren; She, Hsiao-Ching; Huang, Kai-Yi

2015-01-01

This study investigated the effects of students' prior science knowledge and online learning approaches (social and individual) on their learning with regard to three topics: science concepts, inquiry, and argumentation. Two science teachers and 118 students from 4 eighth-grade science classes were invited to participate in this research. Students…

Estimating kinetic mechanisms with prior knowledge I: Linear parameter constraints.

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Salari, Autoosa; Navarro, Marco A; Milescu, Mirela; Milescu, Lorin S

2018-02-05

To understand how ion channels and other proteins function at the molecular and cellular levels, one must decrypt their kinetic mechanisms. Sophisticated algorithms have been developed that can be used to extract kinetic parameters from a variety of experimental data types. However, formulating models that not only explain new data, but are also consistent with existing knowledge, remains a challenge. Here, we present a two-part study describing a mathematical and computational formalism that can be used to enforce prior knowledge into the model using constraints. In this first part, we focus on constraints that enforce explicit linear relationships involving rate constants or other model parameters. We develop a simple, linear algebra-based transformation that can be applied to enforce many types of model properties and assumptions, such as microscopic reversibility, allosteric gating, and equality and inequality parameter relationships. This transformation converts the set of linearly interdependent model parameters into a reduced set of independent parameters, which can be passed to an automated search engine for model optimization. In the companion article, we introduce a complementary method that can be used to enforce arbitrary parameter relationships and any constraints that quantify the behavior of the model under certain conditions. The procedures described in this study can, in principle, be coupled to any of the existing methods for solving molecular kinetics for ion channels or other proteins. These concepts can be used not only to enforce existing knowledge but also to formulate and test new hypotheses. © 2018 Salari et al.

Impact of Cognitive Abilities and Prior Knowledge on Complex Problem Solving Performance – Empirical Results and a Plea for Ecologically Valid Microworlds

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Heinz-Martin Süß

2018-05-01

Full Text Available The original aim of complex problem solving (CPS research was to bring the cognitive demands of complex real-life problems into the lab in order to investigate problem solving behavior and performance under controlled conditions. Up until now, the validity of psychometric intelligence constructs has been scrutinized with regard to its importance for CPS performance. At the same time, different CPS measurement approaches competing for the title of the best way to assess CPS have been developed. In the first part of the paper, we investigate the predictability of CPS performance on the basis of the Berlin Intelligence Structure Model and Cattell’s investment theory as well as an elaborated knowledge taxonomy. In the first study, 137 students managed a simulated shirt factory (Tailorshop; i.e., a complex real life-oriented system twice, while in the second study, 152 students completed a forestry scenario (FSYS; i.e., a complex artificial world system. The results indicate that reasoning – specifically numerical reasoning (Studies 1 and 2 and figural reasoning (Study 2 – are the only relevant predictors among the intelligence constructs. We discuss the results with reference to the Brunswik symmetry principle. Path models suggest that reasoning and prior knowledge influence problem solving performance in the Tailorshop scenario mainly indirectly. In addition, different types of system-specific knowledge independently contribute to predicting CPS performance. The results of Study 2 indicate that working memory capacity, assessed as an additional predictor, has no incremental validity beyond reasoning. We conclude that (1 cognitive abilities and prior knowledge are substantial predictors of CPS performance, and (2 in contrast to former and recent interpretations, there is insufficient evidence to consider CPS a unique ability construct. In the second part of the paper, we discuss our results in light of recent CPS research, which predominantly

Impact of Cognitive Abilities and Prior Knowledge on Complex Problem Solving Performance – Empirical Results and a Plea for Ecologically Valid Microworlds

Science.gov (United States)

Süß, Heinz-Martin; Kretzschmar, André

2018-01-01

The original aim of complex problem solving (CPS) research was to bring the cognitive demands of complex real-life problems into the lab in order to investigate problem solving behavior and performance under controlled conditions. Up until now, the validity of psychometric intelligence constructs has been scrutinized with regard to its importance for CPS performance. At the same time, different CPS measurement approaches competing for the title of the best way to assess CPS have been developed. In the first part of the paper, we investigate the predictability of CPS performance on the basis of the Berlin Intelligence Structure Model and Cattell’s investment theory as well as an elaborated knowledge taxonomy. In the first study, 137 students managed a simulated shirt factory (Tailorshop; i.e., a complex real life-oriented system) twice, while in the second study, 152 students completed a forestry scenario (FSYS; i.e., a complex artificial world system). The results indicate that reasoning – specifically numerical reasoning (Studies 1 and 2) and figural reasoning (Study 2) – are the only relevant predictors among the intelligence constructs. We discuss the results with reference to the Brunswik symmetry principle. Path models suggest that reasoning and prior knowledge influence problem solving performance in the Tailorshop scenario mainly indirectly. In addition, different types of system-specific knowledge independently contribute to predicting CPS performance. The results of Study 2 indicate that working memory capacity, assessed as an additional predictor, has no incremental validity beyond reasoning. We conclude that (1) cognitive abilities and prior knowledge are substantial predictors of CPS performance, and (2) in contrast to former and recent interpretations, there is insufficient evidence to consider CPS a unique ability construct. In the second part of the paper, we discuss our results in light of recent CPS research, which predominantly utilizes the

A User-Centered Approach to Adaptive Hypertext Based on an Information Relevance Model

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Mathe, Nathalie; Chen, James

1994-01-01

Rapid and effective to information in large electronic documentation systems can be facilitated if information relevant in an individual user's content can be automatically supplied to this user. However most of this knowledge on contextual relevance is not found within the contents of documents, it is rather established incrementally by users during information access. We propose a new model for interactively learning contextual relevance during information retrieval, and incrementally adapting retrieved information to individual user profiles. The model, called a relevance network, records the relevance of references based on user feedback for specific queries and user profiles. It also generalizes such knowledge to later derive relevant references for similar queries and profiles. The relevance network lets users filter information by context of relevance. Compared to other approaches, it does not require any prior knowledge nor training. More importantly, our approach to adaptivity is user-centered. It facilitates acceptance and understanding by users by giving them shared control over the adaptation without disturbing their primary task. Users easily control when to adapt and when to use the adapted system. Lastly, the model is independent of the particular application used to access information, and supports sharing of adaptations among users.

Correlation set analysis: detecting active regulators in disease populations using prior causal knowledge

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Huang Chia-Ling

2012-03-01

Full Text Available Abstract Background Identification of active causal regulators is a crucial problem in understanding mechanism of diseases or finding drug targets. Methods that infer causal regulators directly from primary data have been proposed and successfully validated in some cases. These methods necessarily require very large sample sizes or a mix of different data types. Recent studies have shown that prior biological knowledge can successfully boost a method's ability to find regulators. Results We present a simple data-driven method, Correlation Set Analysis (CSA, for comprehensively detecting active regulators in disease populations by integrating co-expression analysis and a specific type of literature-derived causal relationships. Instead of investigating the co-expression level between regulators and their regulatees, we focus on coherence of regulatees of a regulator. Using simulated datasets we show that our method performs very well at recovering even weak regulatory relationships with a low false discovery rate. Using three separate real biological datasets we were able to recover well known and as yet undescribed, active regulators for each disease population. The results are represented as a rank-ordered list of regulators, and reveals both single and higher-order regulatory relationships. Conclusions CSA is an intuitive data-driven way of selecting directed perturbation experiments that are relevant to a disease population of interest and represent a starting point for further investigation. Our findings demonstrate that combining co-expression analysis on regulatee sets with a literature-derived network can successfully identify causal regulators and help develop possible hypothesis to explain disease progression.

Top-down (Prior Knowledge) and Bottom-up (Perceptual Modality) Influences on Spontaneous Interpersonal Synchronization.

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Gipson, Christina L; Gorman, Jamie C; Hessler, Eric E

2016-04-01

Coordination with others is such a fundamental part of human activity that it can happen unintentionally. This unintentional coordination can manifest as synchronization and is observed in physical and human systems alike. We investigated the role of top-down influences (prior knowledge of the perceptual modality their partner is using) and bottom-up factors (perceptual modality combination) on spontaneous interpersonal synchronization. We examine this phenomena with respect to two different theoretical perspectives that differently emphasize top-down and bottom-up factors in interpersonal synchronization: joint-action/shared cognition theories and ecological-interactive theories. In an empirical study twelve dyads performed a finger oscillation task while attending to each other's movements through either visual, auditory, or visual and auditory perceptual modalities. Half of the participants were given prior knowledge of their partner's perceptual capabilities for coordinating across these different perceptual modality combinations. We found that the effect of top-down influence depends on the perceptual modality combination between two individuals. When people used the same perceptual modalities, top-down influence resulted in less synchronization and when people used different perceptual modalities, top-down influence resulted in more synchronization. Furthermore, persistence in the change in behavior as a result of having perceptual information about each other ('social memory') was stronger when this top-down influence was present.

The Impact of Learner's Prior Knowledge on Their Use of Chemistry Computer Simulations: A Case Study

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Liu, Han-Chin; Andre, Thomas; Greenbowe, Thomas

2008-01-01

It is complicated to design a computer simulation that adapts to students with different characteristics. This study documented cases that show how college students' prior chemistry knowledge level affected their interaction with peers and their approach to solving problems with the use of computer simulations that were designed to learn…

Utilizing knowledge from prior plans in the evaluation of quality assurance

International Nuclear Information System (INIS)

Stanhope, Carl; Wu, Q Jackie; Yuan, Lulin; Liu, Jianfei; Hood, Rodney; Yin, Fang-Fang; Adamson, Justus

2015-01-01

Increased interest regarding sensitivity of pre-treatment intensity modulated radiotherapy and volumetric modulated arc radiotherapy (VMAT) quality assurance (QA) to delivery errors has led to the development of dose-volume histogram (DVH) based analysis. This paradigm shift necessitates a change in the acceptance criteria and action tolerance for QA. Here we present a knowledge based technique to objectively quantify degradations in DVH for prostate radiotherapy.Using machine learning, organ-at-risk (OAR) DVHs from a population of 198 prior patients’ plans were adapted to a test patient’s anatomy to establish patient-specific DVH ranges. This technique was applied to single arc prostate VMAT plans to evaluate various simulated delivery errors: systematic single leaf offsets, systematic leaf bank offsets, random normally distributed leaf fluctuations, systematic lag in gantry angle of the mutli-leaf collimators (MLCs), fluctuations in dose rate, and delivery of each VMAT arc with a constant rather than variable dose rate.Quantitative Analyses of Normal Tissue Effects in the Clinic suggests V 75Gy dose limits of 15% for the rectum and 25% for the bladder, however the knowledge based constraints were more stringent: 8.48   ±   2.65% for the rectum and 4.90   ±   1.98% for the bladder. 19   ±   10 mm single leaf and 1.9   ±   0.7 mm single bank offsets resulted in rectum DVHs worse than 97.7% (2σ) of clinically accepted plans. PTV degradations fell outside of the acceptable range for 0.6   ±   0.3 mm leaf offsets, 0.11   ±   0.06 mm bank offsets, 0.6   ±   1.3 mm of random noise, and 1.0   ±   0.7° of gantry-MLC lag.Utilizing a training set comprised of prior treatment plans, machine learning is used to predict a range of achievable DVHs for the test patient’s anatomy. Consequently, degradations leading to statistical outliers may be identified. A

"She Has to Drink Blood of the Snake": Culture and Prior Knowledge in Science|Health Education

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Bricker, Leah A.; Reeve, Suzanne; Bell, Philip

2014-01-01

In this analysis, we argue that science education should attend more deeply to youths' cultural resources and practices (e.g. material, social, and intellectual). Inherent in our argument is a call for revisiting conceptions of "prior knowledge" to theorize how people make sense of the complex ecologies of experience, ideas, and cultural…

When Relationships Depicted Diagrammatically Conflict with Prior Knowledge: An Investigation of Students' Interpretations of Evolutionary Trees

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Novick, Laura R.; Catley, Kefyn M.

2014-01-01

Science is an important domain for investigating students' responses to information that contradicts their prior knowledge. In previous studies of this topic, this information was communicated verbally. The present research used diagrams, specifically trees (cladograms) depicting evolutionary relationships among taxa. Effects of college…

The Effectiveness of Worked Examples Associated with Presentation Format and Prior Knowledge: A Web-Based Experiment

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Hsiao, E-Ling

2010-01-01

The aim of this study is to explore whether presentation format and prior knowledge affect the effectiveness of worked examples. The experiment was conducted through a specially designed online instrument. A 2X2X3 factorial before-and-after design was conducted. Three-way ANOVA was employed for data analysis. The result showed first, that prior…

Visibility Restoration for Single Hazy Image Using Dual Prior Knowledge

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Mingye Ju

2017-01-01

Full Text Available Single image haze removal has been a challenging task due to its super ill-posed nature. In this paper, we propose a novel single image algorithm that improves the detail and color of such degraded images. More concretely, we redefine a more reliable atmospheric scattering model (ASM based on our previous work and the atmospheric point spread function (APSF. Further, by taking the haze density spatial feature into consideration, we design a scene-wise APSF kernel prediction mechanism to eliminate the multiple-scattering effect. With the redefined ASM and designed APSF, combined with the existing prior knowledge, the complex dehazing problem can be subtly converted into one-dimensional searching problem, which allows us to directly obtain the scene transmission and thereby recover visually realistic results via the proposed ASM. Experimental results verify that our algorithm outperforms several state-of-the-art dehazing techniques in terms of robustness, effectiveness, and efficiency.

Does Alendronate reduce the risk of fracture in men? A meta-analysis incorporating prior knowledge of anti-fracture efficacy in women

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Papaioannou Alexandra

2005-07-01

Full Text Available Abstract Background Alendronate has been found to reduce the risk of fractures in postmenopausal women as demonstrated in multiple randomized controlled trials enrolling thousands of women. Yet there is a paucity of such randomized controlled trials in osteoporotic men. Our objective was to systematically review the anti-fracture efficacy of alendronate in men with low bone mass or with a history of prevalent fracture(s and incorporate prior knowledge of alendronate efficacy in women in the analysis. Methods We examined randomized controlled trials in men comparing the anti-fracture efficacy of alendronate to placebo or calcium or vitamin D, or any combination of these. Studies of men with secondary causes of osteoporosis other than hypogonadism were excluded. We searched the following electronic databases (without language restrictions for potentially relevant citations: Medline, Medline in Process (1966-May 24/2004, and Embase (1996–2004. We also contacted the manufacturer of the drug in search of other relevant trials. Two reviewers independently identified two trials (including 375 men, which met all inclusion criteria. Data were abstracted by one reviewer and checked by another. Results of the male trials were pooled using Bayesian random effects models, incorporating prior information of anti-fracture efficacy from meta-analyses of women. Results The odds ratios of incident fractures in men (with 95% credibility intervals with alendronate (10 mg daily were: vertebral fractures, 0.44 (0.23, 0.83 and non-vertebral fractures, 0.60 (0.29, 1.44. Conclusion In conclusion, alendronate decreases the risk of vertebral fractures in men at risk. There is currently insufficient evidence of a statistically significant reduction of non-vertebral fractures, but the paucity of trials in men limit the statistical power to detect such an effect.

The Effect of Prior Knowledge and Feedback Type Design on Student Achievement and Satisfaction in Introductory Accounting

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Campbell, Donald P.

2013-01-01

This study investigated the effect of student prior knowledge and feedback type on student achievement and satisfaction in an introductory managerial accounting course using computer-based formative assessment tools. The study involved a redesign of the existing Job Order Costing unit using the ADDIE model of instructional design. The…

Image segmentation with a novel regularized composite shape prior based on surrogate study

Energy Technology Data Exchange (ETDEWEB)

Zhao, Tingting, E-mail: tingtingzhao@mednet.ucla.edu; Ruan, Dan, E-mail: druan@mednet.ucla.edu [The Department of Radiation Oncology, University of California, Los Angeles, California 90095 (United States)

2016-05-15

Purpose: Incorporating training into image segmentation is a good approach to achieve additional robustness. This work aims to develop an effective strategy to utilize shape prior knowledge, so that the segmentation label evolution can be driven toward the desired global optimum. Methods: In the variational image segmentation framework, a regularization for the composite shape prior is designed to incorporate the geometric relevance of individual training data to the target, which is inferred by an image-based surrogate relevance metric. Specifically, this regularization is imposed on the linear weights of composite shapes and serves as a hyperprior. The overall problem is formulated in a unified optimization setting and a variational block-descent algorithm is derived. Results: The performance of the proposed scheme is assessed in both corpus callosum segmentation from an MR image set and clavicle segmentation based on CT images. The resulted shape composition provides a proper preference for the geometrically relevant training data. A paired Wilcoxon signed rank test demonstrates statistically significant improvement of image segmentation accuracy, when compared to multiatlas label fusion method and three other benchmark active contour schemes. Conclusions: This work has developed a novel composite shape prior regularization, which achieves superior segmentation performance than typical benchmark schemes.

Image segmentation with a novel regularized composite shape prior based on surrogate study

International Nuclear Information System (INIS)

Zhao, Tingting; Ruan, Dan

2016-01-01

Purpose: Incorporating training into image segmentation is a good approach to achieve additional robustness. This work aims to develop an effective strategy to utilize shape prior knowledge, so that the segmentation label evolution can be driven toward the desired global optimum. Methods: In the variational image segmentation framework, a regularization for the composite shape prior is designed to incorporate the geometric relevance of individual training data to the target, which is inferred by an image-based surrogate relevance metric. Specifically, this regularization is imposed on the linear weights of composite shapes and serves as a hyperprior. The overall problem is formulated in a unified optimization setting and a variational block-descent algorithm is derived. Results: The performance of the proposed scheme is assessed in both corpus callosum segmentation from an MR image set and clavicle segmentation based on CT images. The resulted shape composition provides a proper preference for the geometrically relevant training data. A paired Wilcoxon signed rank test demonstrates statistically significant improvement of image segmentation accuracy, when compared to multiatlas label fusion method and three other benchmark active contour schemes. Conclusions: This work has developed a novel composite shape prior regularization, which achieves superior segmentation performance than typical benchmark schemes.

Varying prior information in Bayesian inversion

International Nuclear Information System (INIS)

Walker, Matthew; Curtis, Andrew

2014-01-01

Bayes' rule is used to combine likelihood and prior probability distributions. The former represents knowledge derived from new data, the latter represents pre-existing knowledge; the Bayesian combination is the so-called posterior distribution, representing the resultant new state of knowledge. While varying the likelihood due to differing data observations is common, there are also situations where the prior distribution must be changed or replaced repeatedly. For example, in mixture density neural network (MDN) inversion, using current methods the neural network employed for inversion needs to be retrained every time prior information changes. We develop a method of prior replacement to vary the prior without re-training the network. Thus the efficiency of MDN inversions can be increased, typically by orders of magnitude when applied to geophysical problems. We demonstrate this for the inversion of seismic attributes in a synthetic subsurface geological reservoir model. We also present results which suggest that prior replacement can be used to control the statistical properties (such as variance) of the final estimate of the posterior in more general (e.g., Monte Carlo based) inverse problem solutions. (paper)

Prior knowledge about spatial pattern affects patch assessment rather than movement between patches in tactile-feeding Mallard

NARCIS (Netherlands)

Klaassen, R.H.G.; Nolet, B.A.; Van Leeuwen, C.H.A.

2007-01-01

1. Heterogeneity in food abundance allows a forager to concentrate foraging effort in patches that are rich in food. This might be problematic when food is cryptic, as the content of patches is unknown prior to foraging. In such case knowledge about the spatial pattern in the distribution of food

AutoSOME: a clustering method for identifying gene expression modules without prior knowledge of cluster number

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Cooper James B

2010-03-01

Full Text Available Abstract Background Clustering the information content of large high-dimensional gene expression datasets has widespread application in "omics" biology. Unfortunately, the underlying structure of these natural datasets is often fuzzy, and the computational identification of data clusters generally requires knowledge about cluster number and geometry. Results We integrated strategies from machine learning, cartography, and graph theory into a new informatics method for automatically clustering self-organizing map ensembles of high-dimensional data. Our new method, called AutoSOME, readily identifies discrete and fuzzy data clusters without prior knowledge of cluster number or structure in diverse datasets including whole genome microarray data. Visualization of AutoSOME output using network diagrams and differential heat maps reveals unexpected variation among well-characterized cancer cell lines. Co-expression analysis of data from human embryonic and induced pluripotent stem cells using AutoSOME identifies >3400 up-regulated genes associated with pluripotency, and indicates that a recently identified protein-protein interaction network characterizing pluripotency was underestimated by a factor of four. Conclusions By effectively extracting important information from high-dimensional microarray data without prior knowledge or the need for data filtration, AutoSOME can yield systems-level insights from whole genome microarray expression studies. Due to its generality, this new method should also have practical utility for a variety of data-intensive applications, including the results of deep sequencing experiments. AutoSOME is available for download at http://jimcooperlab.mcdb.ucsb.edu/autosome.

An Appraisal of Financial Authority Transfers' Prior-Knowledge in Adult Learning Assessment

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A. Ettien

2017-12-01

Full Text Available This research aimed at reviewing financial authority trainers prior knowledge in adult learners' learning assessment. For this aim, we tried to verify the fol-lowing research hypothesis: Ivorian financial authority trainers are able to assess adult learners correctly. Knowles andragogy principles are the comparison basis. We were positively impressed by trainers awareness of some of the principles of andragogy relative to their avoidance of summative assessment in favor of task-based assessment and problem-solving activities. However, the same trainers tendency to ignore the self-directedness nature of adult learners as well as their ability to engage in self-assessment made us believe that a sound training in adult learning assessment would help each of them become a better adult trainer.

Learning Using Dynamic and Static Visualizations: Students' Comprehension, Prior Knowledge and Conceptual Status of a Biotechnological Method

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Yarden, Hagit; Yarden, Anat

2010-05-01

The importance of biotechnology education at the high-school level has been recognized in a number of international curriculum frameworks around the world. One of the most problematic issues in learning biotechnology has been found to be the biotechnological methods involved. Here, we examine the unique contribution of an animation of the polymerase chain reaction (PCR) in promoting conceptual learning of the biotechnological method among 12th-grade biology majors. All of the students learned about the PCR using still images ( n = 83) or the animation ( n = 90). A significant advantage to the animation treatment was identified following learning. Students’ prior content knowledge was found to be an important factor for students who learned PCR using still images, serving as an obstacle to learning the PCR method in the case of low prior knowledge. Through analysing students’ discourse, using the framework of the conceptual status analysis, we found that students who learned about PCR using still images faced difficulties in understanding some mechanistic aspects of the method. On the other hand, using the animation gave the students an advantage in understanding those aspects.

Hysteresis as an Implicit Prior in Tactile Spatial Decision Making

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Thiel, Sabrina D.; Bitzer, Sebastian; Nierhaus, Till; Kalberlah, Christian; Preusser, Sven; Neumann, Jane; Nikulin, Vadim V.; van der Meer, Elke; Villringer, Arno; Pleger, Burkhard

2014-01-01

Perceptual decisions not only depend on the incoming information from sensory systems but constitute a combination of current sensory evidence and internally accumulated information from past encounters. Although recent evidence emphasizes the fundamental role of prior knowledge for perceptual decision making, only few studies have quantified the relevance of such priors on perceptual decisions and examined their interplay with other decision-relevant factors, such as the stimulus properties. In the present study we asked whether hysteresis, describing the stability of a percept despite a change in stimulus property and known to occur at perceptual thresholds, also acts as a form of an implicit prior in tactile spatial decision making, supporting the stability of a decision across successively presented random stimuli (i.e., decision hysteresis). We applied a variant of the classical 2-point discrimination task and found that hysteresis influenced perceptual decision making: Participants were more likely to decide ‘same’ rather than ‘different’ on successively presented pin distances. In a direct comparison between the influence of applied pin distances (explicit stimulus property) and hysteresis, we found that on average, stimulus property explained significantly more variance of participants’ decisions than hysteresis. However, when focusing on pin distances at threshold, we found a trend for hysteresis to explain more variance. Furthermore, the less variance was explained by the pin distance on a given decision, the more variance was explained by hysteresis, and vice versa. Our findings suggest that hysteresis acts as an implicit prior in tactile spatial decision making that becomes increasingly important when explicit stimulus properties provide decreasing evidence. PMID:24587045

Effect of Instruction Using Students' Prior Knowledge and Conceptual Change Strategies on Science Learning. Part I: Development, Application and Evaluation of Instruction.

Science.gov (United States)

Hewson, Mariana G.

Reported is the development, use, and evaluation of an instructional technique based upon: (1) the assessment of students' prior knowledge; and (2) a theoretical perspective advocated by Ausubel and others which emphasizes the importance of existing knowledge in influencing subsequent concept learning. The experimental group of 46 South African…

Estimating the effect of lay knowledge and prior contact with pulmonary TB patients, on health-belief model in a high-risk pulmonary TB transmission population.

Science.gov (United States)

Zein, Rizqy Amelia; Suhariadi, Fendy; Hendriani, Wiwin

2017-01-01

The research aimed to investigate the effect of lay knowledge of pulmonary tuberculosis (TB) and prior contact with pulmonary TB patients on a health-belief model (HBM) as well as to identify the social determinants that affect lay knowledge. Survey research design was conducted, where participants were required to fill in a questionnaire, which measured HBM and lay knowledge of pulmonary TB. Research participants were 500 residents of Semampir, Asemrowo, Bubutan, Pabean Cantian, and Simokerto districts, where the risk of pulmonary TB transmission is higher than other districts in Surabaya. Being a female, older in age, and having prior contact with pulmonary TB patients significantly increase the likelihood of having a higher level of lay knowledge. Lay knowledge is a substantial determinant to estimate belief in the effectiveness of health behavior and personal health threat. Prior contact with pulmonary TB patients is able to explain the belief in the effectiveness of a health behavior, yet fails to estimate participants' belief in the personal health threat. Health authorities should prioritize males and young people as their main target groups in a pulmonary TB awareness campaign. The campaign should be able to reconstruct people's misconception about pulmonary TB, thereby bringing around the health-risk perception so that it is not solely focused on improving lay knowledge.

Glimmers for Cultural Relevance: The Pedagogical Knowledge of an Indigenous Cabécar Teacher

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Marielos Vargas Morales

2017-07-01

Full Text Available Indigenous education is becoming a priority to be dealt with in Higher Education. Therefore, efforts are oriented towards newly nourishing inclusive proposals for education; for them to take cultural diversity on and generate quality learning processes while also promoting the vindication of the right towards a culturally-relevant education for indigenous populations. Hence, the article sets forth an analysis of the pedagogical practice by an indigenous cabécar teacher, which unveils elements and cultural aspects that constitute valuable input to be considered in teacher education proposals. This research took place in the educative community of Sharabata, which is part of the High Chirripó Cábecar Indigenous Territory, which in turn is located in the province of Cartago in the Central American country of Costa Rica. The current research was conducted as a case study. Obtained results now create curricular content that responds to socio-cultural, linguistic and natural needs and characteristics of the cabécar culture. The present research recovers oral communication and the value of words, of learning by imitation, cosmovision as cultural heritage and the importance of recognizing mother languages in originary populations. It is forewarned that, though handled under the discourse of cultural displacement, practical and ritualistic practices still persist, all of which must be acknowledged and valued in school by young people in order for culture as ancestral heritage to be prolonged. It is given the mentioned situations where education must be made present; as a fight towards respect, inclusion and the strengthening of originary cultures. In that sense and in order to achieve cultural relevance, the process of the construction of knowledge with children must be inserted in its historical, social and cultural context, for which knowledge, experience and the practice of cabécar cosmovision is transcendental. As part of cultural relevance

Littoral Combat Ship: Knowledge of Survivability and Lethality Capabilities Needed Prior to Making Major Funding Decisions

Science.gov (United States)

2015-12-01

USS Port Royal hit a coral reef in order to provide an independent review of the damage the ship sustained. Our classified report discussed...Improved Weight Management Needed Prior to Further Investments, GAO-14-349SU (Washington, D.C.: Apr. 8, 2014); Littoral Combat Ship: Knowledge of...Early in the program, the Navy decided to forgo a number of traditional ship requirements in order to help reduce the costs and the weight and size

Rethinking Partnerships with the Aim of Producing Knowledge with Practical Relevance: a Case Study in the Field of Ecological Restoration

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Héloïse Gonzalo-Turpin

2008-12-01

Full Text Available Researchers in conservation biology and restoration ecology often work in partnership with local actors to increase the practical relevance of the knowledge they produce. Although an academic mode of knowledge production is essential in research for a better understanding of biological systems, it often fails to produce frameworks and methodologies having practical relevance that can be used in conservation and restoration programs. The involvement of researchers in collective plans of action is supposed to contribute to the production of a more contextualized form of knowledge. In this paper, we report our experience of partnership research in an ecological restoration project. We show that changing our mode of knowledge production to one that produces knowledge having more practical relevance requires a particular spectrum of partners and reflexive communication between all the partners. We advocate the need for participatory approaches that favor collective and reflexive processes of problem finding and problem solving in conservation and restoration projects. Putting such processes into practice is not only a challenge for researchers but also for their partners, and presupposes a profound transformation of their roles.

Knowledge of ideas: On design and the politics of relevance in concept development work

DEFF Research Database (Denmark)

Yoshinaka, Yutaka

important roles in the selection of ideas for conceptualization and synthesis work in such projects – they at once open up and enable, while also delimit and constrain, the design space in which practitioners may engage their insight and skills. The study explores the translation of knowledge practices......The paper examines the emergent nature of how ideas and problem issues are handled in the organisational processes of project work in design. It addresses the knowledge practices entailed in the (re)association of past projects or activities within a project with ongoing ones (the idea of knowledge...... reuse). This is pursued from the standpoint of the particular and partial framings of knowledge, as localised and situated in character and enactment, through its socio-material ordering and mediation in heterogeneous networks of relations. Network building processes and the drawing of relevance play...

Improving Bayesian credibility intervals for classifier error rates using maximum entropy empirical priors.

Science.gov (United States)

Gustafsson, Mats G; Wallman, Mikael; Wickenberg Bolin, Ulrika; Göransson, Hanna; Fryknäs, M; Andersson, Claes R; Isaksson, Anders

2010-06-01

Successful use of classifiers that learn to make decisions from a set of patient examples require robust methods for performance estimation. Recently many promising approaches for determination of an upper bound for the error rate of a single classifier have been reported but the Bayesian credibility interval (CI) obtained from a conventional holdout test still delivers one of the tightest bounds. The conventional Bayesian CI becomes unacceptably large in real world applications where the test set sizes are less than a few hundred. The source of this problem is that fact that the CI is determined exclusively by the result on the test examples. In other words, there is no information at all provided by the uniform prior density distribution employed which reflects complete lack of prior knowledge about the unknown error rate. Therefore, the aim of the study reported here was to study a maximum entropy (ME) based approach to improved prior knowledge and Bayesian CIs, demonstrating its relevance for biomedical research and clinical practice. It is demonstrated how a refined non-uniform prior density distribution can be obtained by means of the ME principle using empirical results from a few designs and tests using non-overlapping sets of examples. Experimental results show that ME based priors improve the CIs when employed to four quite different simulated and two real world data sets. An empirically derived ME prior seems promising for improving the Bayesian CI for the unknown error rate of a designed classifier. Copyright 2010 Elsevier B.V. All rights reserved.

Sustainability Knowledge and Behaviors of Apparel and Textile Undergraduates

Science.gov (United States)

Hiller Connell, Kim Y.; Kozar, Joy M.

2012-01-01

Purpose: The purpose of this paper is to analyze changes in undergraduate student knowledge of issues of sustainability relevant to the apparel and textiles industry. Assessment occurred prior to and upon completion of a course that addressed topics specific to the global production and distribution of apparel and textile goods. The study also…

Generalized Bayesian inference with sets of conjugate priors for dealing with prior-data conflict : course at Lund University

NARCIS (Netherlands)

Walter, G.

2015-01-01

In the Bayesian approach to statistical inference, possibly subjective knowledge on model parameters can be expressed by so-called prior distributions. A prior distribution is updated, via Bayes’ Rule, to the so-called posterior distribution, which combines prior information and information from

Prior Knowledge about Objects Determines Neural Color Representation in Human Visual Cortex.

Science.gov (United States)

Vandenbroucke, A R E; Fahrenfort, J J; Meuwese, J D I; Scholte, H S; Lamme, V A F

2016-04-01

To create subjective experience, our brain must translate physical stimulus input by incorporating prior knowledge and expectations. For example, we perceive color and not wavelength information, and this in part depends on our past experience with colored objects ( Hansen et al. 2006; Mitterer and de Ruiter 2008). Here, we investigated the influence of object knowledge on the neural substrates underlying subjective color vision. In a functional magnetic resonance imaging experiment, human subjects viewed a color that lay midway between red and green (ambiguous with respect to its distance from red and green) presented on either typical red (e.g., tomato), typical green (e.g., clover), or semantically meaningless (nonsense) objects. Using decoding techniques, we could predict whether subjects viewed the ambiguous color on typical red or typical green objects based on the neural response of veridical red and green. This shift of neural response for the ambiguous color did not occur for nonsense objects. The modulation of neural responses was observed in visual areas (V3, V4, VO1, lateral occipital complex) involved in color and object processing, as well as frontal areas. This demonstrates that object memory influences wavelength information relatively early in the human visual system to produce subjective color vision. © The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

Multi-agent system for Knowledge-based recommendation of Learning Objects

Directory of Open Access Journals (Sweden)

Paula Andrea RODRÍGUEZ MARÍN

2015-12-01

Full Text Available Learning Object (LO is a content unit being used within virtual learning environments, which -once found and retrieved- may assist students in the teaching - learning process. Such LO search and retrieval are recently supported and enhanced by data mining techniques. In this sense, clustering can be used to find groups holding similar LOs so that from obtained groups, knowledge-based recommender systems (KRS can recommend more adapted and relevant LOs. In particular, prior knowledge come from LOs previously selected, liked and ranked by the student to whom the recommendation will be performed. In this paper, we present a KRS for LOs, which uses a conventional clustering technique, namely K-means, aimed at finding similar LOs and delivering resources adapted to a specific student. Obtained promising results show that proposed KRS is able to both retrieve relevant LO and improve the recommendation precision.Learning Object (LO is a content unit being used within virtual learning environments, which -once found and retrieved- may assist students in the teaching - learning process. Such LO search and retrieval are recently supported and enhanced by data mining techniques. In this sense, clustering can be used to find groups holding similar LOs so that from obtained groups, knowledge-based recommender systems (KRS can recommend more adapted and relevant LOs. In particular, prior knowledge come from LOs previously selected, liked and ranked by the student to whom the recommendation will be performed. In this paper, we present a KRS for LOs, which uses a conventional clustering technique, namely K-means, aimed at finding similar LOs and delivering resources adapted to a specific student. Obtained promising results show that proposed KRS is able to both retrieve relevant LO and improve the recommendation precision.

Training shortest-path tractography: Automatic learning of spatial priors

DEFF Research Database (Denmark)

Kasenburg, Niklas; Liptrot, Matthew George; Reislev, Nina Linde

2016-01-01

Tractography is the standard tool for automatic delineation of white matter tracts from diffusion weighted images. However, the output of tractography often requires post-processing to remove false positives and ensure a robust delineation of the studied tract, and this demands expert prior...... knowledge. Here we demonstrate how such prior knowledge, or indeed any prior spatial information, can be automatically incorporated into a shortest-path tractography approach to produce more robust results. We describe how such a prior can be automatically generated (learned) from a population, and we...

The Prior-project

DEFF Research Database (Denmark)

Engerer, Volkmar Paul; Roued-Cunliffe, Henriette; Albretsen, Jørgen

digitisation of Arthur Prior’s Nachlass kept in the Bodleian Library, Oxford. The DH infrastructure in question is the Prior Virtual Lab (PVL). PVL was established in 2011 in order to provide researchers in the field of temporal logic easy access to the papers of Arthur Norman Prior (1914-1969), and officially......In this paper, we present a DH research infrastructure which relies heavily on a combination of domain knowledge with information technology. The general goal is to develop tools to aid scholars in their interpretations and understanding of temporal logic. This in turn is based on an extensive...

The Common Body of Knowledge: A Framework to Promote Relevant Information Security Research

Directory of Open Access Journals (Sweden)

Kenneth J. Knapp

2007-03-01

Full Text Available This study proposes using an established common body of knowledge (CBK as one means of organizing information security literature.  Consistent with calls for more relevant information systems (IS research, this industry-developed framework can motivate future research towards topics that are important to the security practitioner.  In this review, forty-eight articles from ten IS journals from 1995 to 2004 are selected and cross-referenced to the ten domains of the information security CBK.  Further, we distinguish articles as empirical research, frameworks, or tutorials.  Generally, this study identified a need for additional empirical research in every CBK domain including topics related to legal aspects of information security.  Specifically, this study identified a need for additional IS security research relating to applications development, physical security, operations security, and business continuity.  The CBK framework is inherently practitioner oriented and using it will promote relevancy by steering IS research towards topics important to practitioners.  This is important considering the frequent calls by prominent information systems scholars for more relevant research.  Few research frameworks have emerged from the literature that specifically classify the diversity of security threats and range of problems that businesses today face.  With the recent surge of interest in security, the need for a comprehensive framework that also promotes relevant research can be of great value.

Assessment of prior learning in vocational education and training

DEFF Research Database (Denmark)

Wahlgren, Bjarne; Aarkrog, Vibe

’ knowledge, skills and competences during the students’ performances and the methods that the teachers apply in order to assess the students’ prior learning in relation to the regulations of the current VET-program. In particular the study focuses on how to assess not only the students’ explicated knowledge......The article deals about the results of a study of the assessment of prior learning among adult workers who want to obtain formal qualifications as skilled workers. The study contributes to developing methods for assessing prior learning including both the teachers’ ways of eliciting the students...... and skills but also their competences, i.e. the way the students use their skills and knowledge to perform in practice. Based on a description of the assessment procedures the article discusses central issues in relation to the assessment of prior learning. The empirical data have been obtained in the VET...

Anatomical knowledge retention in third-year medical students prior to obstetrics and gynecology and surgery rotations.

Science.gov (United States)

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 anatomical knowledge deficit are lacking, as are specifics as to what content should be reinforced. This study identifies baseline areas of strength and weakness in the surgical anatomy knowledge of medical students entering surgical rotations. Third-year medical students completed a 20-25-question test at the beginning of the General Surgery and Obstetrics and Gynecology rotations. Knowledge of inguinal anatomy (45.3%), orientation in abdominal cavity (38.8%), colon (27.7%), and esophageal varices (12.8%) was poor. The numbers in parentheses are the percentage of questions answered correctly per topic. In comparing those scores to matched test items from this cohort as first-year students in the anatomy course, the drop in retention overall was very significant (P = 0.009) from 86.9 to 51.5%. Students also scored lower in questions relating to pelvic organs (46.7%), urogenital development (54.0%), pulmonary development (17.8%), and pregnancy (17.8%). These data showed that indeed, knowledge of surgical anatomy is poor for medical students entering surgical clerkships. These data collected will be utilized to create interactive learning modules, aimed at improving clinically relevant anatomical knowledge retention. These modules, which will be available to students during their inpatient surgical rotations, connect basic anatomy principles to clinical cases, with the ultimate goal of closing the anatomical knowledge gap. © 2014 American Association of Anatomists.

Indigenous Knowledge and Language: Decolonizing Culturally Relevant Pedagogy in a Mapuche Intercultural Bilingual Education Program in Chile

Science.gov (United States)

Ortiz, Patricio R.

2009-01-01

This article illustrates how Mapuche Indigenous knowledge (Kimun) and language (Mapudungun) incorporated into an Intercultural Bilingual Education (IBE) program of a school within a Mapuche context in Chile creates decolonizing counter-hegemonic narratives as forms of culturally relevant pedagogy. Based on a six-month school ethnography, this…

Main Road Extraction from ZY-3 Grayscale Imagery Based on Directional Mathematical Morphology and VGI Prior Knowledge in Urban Areas.

Science.gov (United States)

Liu, Bo; Wu, Huayi; Wang, Yandong; Liu, Wenming

2015-01-01

Main road features extracted from remotely sensed imagery play an important role in many civilian and military applications, such as updating Geographic Information System (GIS) databases, urban structure analysis, spatial data matching and road navigation. Current methods for road feature extraction from high-resolution imagery are typically based on threshold value segmentation. It is difficult however, to completely separate road features from the background. We present a new method for extracting main roads from high-resolution grayscale imagery based on directional mathematical morphology and prior knowledge obtained from the Volunteered Geographic Information found in the OpenStreetMap. The two salient steps in this strategy are: (1) using directional mathematical morphology to enhance the contrast between roads and non-roads; (2) using OpenStreetMap roads as prior knowledge to segment the remotely sensed imagery. Experiments were conducted on two ZiYuan-3 images and one QuickBird high-resolution grayscale image to compare our proposed method to other commonly used techniques for road feature extraction. The results demonstrated the validity and better performance of the proposed method for urban main road feature extraction.

Main Road Extraction from ZY-3 Grayscale Imagery Based on Directional Mathematical Morphology and VGI Prior Knowledge in Urban Areas.

Directory of Open Access Journals (Sweden)

Bo Liu

Full Text Available Main road features extracted from remotely sensed imagery play an important role in many civilian and military applications, such as updating Geographic Information System (GIS databases, urban structure analysis, spatial data matching and road navigation. Current methods for road feature extraction from high-resolution imagery are typically based on threshold value segmentation. It is difficult however, to completely separate road features from the background. We present a new method for extracting main roads from high-resolution grayscale imagery based on directional mathematical morphology and prior knowledge obtained from the Volunteered Geographic Information found in the OpenStreetMap. The two salient steps in this strategy are: (1 using directional mathematical morphology to enhance the contrast between roads and non-roads; (2 using OpenStreetMap roads as prior knowledge to segment the remotely sensed imagery. Experiments were conducted on two ZiYuan-3 images and one QuickBird high-resolution grayscale image to compare our proposed method to other commonly used techniques for road feature extraction. The results demonstrated the validity and better performance of the proposed method for urban main road feature extraction.

Main Road Extraction from ZY-3 Grayscale Imagery Based on Directional Mathematical Morphology and VGI Prior Knowledge in Urban Areas

Science.gov (United States)

Liu, Bo; Wu, Huayi; Wang, Yandong; Liu, Wenming

2015-01-01

Main road features extracted from remotely sensed imagery play an important role in many civilian and military applications, such as updating Geographic Information System (GIS) databases, urban structure analysis, spatial data matching and road navigation. Current methods for road feature extraction from high-resolution imagery are typically based on threshold value segmentation. It is difficult however, to completely separate road features from the background. We present a new method for extracting main roads from high-resolution grayscale imagery based on directional mathematical morphology and prior knowledge obtained from the Volunteered Geographic Information found in the OpenStreetMap. The two salient steps in this strategy are: (1) using directional mathematical morphology to enhance the contrast between roads and non-roads; (2) using OpenStreetMap roads as prior knowledge to segment the remotely sensed imagery. Experiments were conducted on two ZiYuan-3 images and one QuickBird high-resolution grayscale image to compare our proposed method to other commonly used techniques for road feature extraction. The results demonstrated the validity and better performance of the proposed method for urban main road feature extraction. PMID:26397832

Nutritional status, dietary intake, and relevant knowledge of adolescent girls in rural Bangladesh.

Science.gov (United States)

Alam, Nurul; Roy, Swapan Kumar; Ahmed, Tahmeed; Ahmed, A M Shamsir

2010-02-01

This study estimated the levels and differentials in nutritional status and dietary intake and relevant knowledge of adolescent girls in rural Bangladesh using data from the Baseline Survey 2004 of the National Nutrition Programme. A stratified two-stage random cluster-sampling was used for selecting 4,993 unmarried adolescent girls aged 13-18 years in 708 rural clusters. Female interviewers visited girls at home to record their education, occupation, dietary knowledge, seven-day food-frequency, intake of iron and folic acid, morbidity, weight, and height. They inquired mothers about age of their daughters and possessions of durable assets to divide households into asset quintiles. Results revealed that 26% of the girls were thin, with body mass index (BMI)-for-age 95th percentile), and 32% stunted (height-for-age knowledge was low. More than half could not name the main food sources of energy and protein, and 36% were not aware of the importance of taking extra nutrients during adolescence for growth spurt. The use of iron supplement was 21% in nutrition-intervention areas compared to 8% in non-intervention areas. Factors associated with the increased use of iron supplements were related to awareness of the girls about extra nutrients and their access to mass media and education. Community-based adolescent-friendly health and nutrition education and services and economic development may improve the overall health and nutritional knowledge and status of adolescents.

Effects of Prior Economic Education, Native Language, and Gender on Economic Knowledge of First-Year Students in Higher Education. A Comparative Study between Germany and the USA

Science.gov (United States)

Brückner, Sebastian; Förster, Manuel; Zlatkin-Troitschanskaia, Olga; Walstad, William B.

2015-01-01

The assessment of university students' economic knowledge has become an increasingly important research area within and across countries. Particularly, the different influences of prior education, native language, and gender as some of the main prerequisites on students' economic knowledge have been highlighted since long. However, the findings…

Creating a Learning Continuum: A Critical Look at the Intersection of Prior Knowledge, Outdoor Education, and Next Generation Science Standards Disciplinary Core Ideas and Practices

Science.gov (United States)

Schlobohm, Trisha Leigh

Outdoor School is a cherished educational tradition in the Portland, OR region. This program's success is attributed to its presumed ability to positively impact affective and cognitive student outcomes. Residential programs such as Outdoor School are considered to be an important supplement to the classroom model of learning because they offer an authentic, contextually rich learning environment. References to relevant literature support the idea that student gains in affective and cognitive domains occur as a result of the multi-sensory, enjoyable, hands-on nature of outdoor learning. The sample population for this study was 115 sixth graders from a demographically diverse Portland, OR school district. This study used an instrument developed by the Common Measures System that was administered to students as part of Outdoor School's professional and program development project. The affective student outcome data measured by the Common Measures instrument was complemented by a formative assessment probe ascertaining prior knowledge of the definition of plants and field notes detailing Field Study instructor lesson content. This first part of this study examined the changes that take place in students' attitudes toward science as a result of attending Outdoor School. The second part took a look at how Outdoor School instruction in the Plants field study aligned with NGSS MS-LS Disciplinary Core Ideas and Practices. The third section of the study compared how Outdoor School instruction in the Plants Field Study and students' prior knowledge of what defines a plant aligned with NGSS MS-LS DCIs. The intent of the research was to arrive at a more nuanced understanding of how students' attitudes toward science are influenced by participating in an outdoor education program and contribute to the development of a continuum between classroom and outdoor school learning using Next Generation Science Standards Disciplinary Core Ideas and Practices as a framework. Results of

Prior implicit knowledge shapes human threshold for orientation noise

DEFF Research Database (Denmark)

Christensen, Jeppe H; Bex, Peter J; Fiser, József

2015-01-01

, resulting in an image-class-specific threshold that changes the shape and position of the dipper function according to image class. These findings do not fit a filter-based feed-forward view of orientation coding, but can be explained by a process that utilizes an experience-based perceptual prior...

Using Students' Prior Knowledge to Teach Social Penetration Theory

Science.gov (United States)

Chornet-Roses, Daniel

2010-01-01

Bransford, Brown, and Cocking argue that acknowledging students' prior ideas and beliefs about a subject and incorporating them into the classroom enhances student learning. This article presents an activity which serves to hone three student learning outcomes: analysis of communication, inductive reasoning, and self-reflection. The goal of this…

Nuclear Physics in High School: what are the previous knowledge?

Science.gov (United States)

Pombo, F. de O.

2017-11-01

Nuclear physics is a branch of physics that about a century occupies an important space in the theoretical, experimental and scientific fields. Currently, its relevance in application is concentrated in several areas such as energy production, diagnostic processes and medical treatment and nuclear bombs, high destructive power. Whereas, according to legal regulations, the teaching of physics must make the student competent in the understanding of the world and assuming the perspective of Paulo Freire (2011) that education is not done on the subject, but together with him, in dialogue with his point of departure, his prior knowledge, we established the general objective of raising students prior knowledge of the third year of high School at Nair Ferreira Neves school, in São Sebastião-SP, about nuclear physics. We concluded that the school has not fulfilled its role in relation to nuclear physics, because students have information from other means of information and these knowledge are stereotyped and mistaken, damaging the world's reading and exercising full citizenship.

Relevant factors to consider prior to an investor-owned acquisition of a nonprofit healthcare entity.

Science.gov (United States)

Ault, Kelvin; Childs, Brad; Wainright, Charles F; Young, Marilyn

2011-01-01

The purpose of this article is to explore the factors that affect the negotiations for an acquisition of a nonprofit system by an investor-owned entity. The recent economic downturn, accompanying credit crisis, and healthcare reform legislation will likely encourage and accelerate the pace of merger and acquisition (M&A) transactions between investor-owned entities and nonprofit hospitals. As many nonprofits are smaller, more financially vulnerable, and more limited in their access to capital than their investor-owned counterparts, nonprofits could be prime targets for investor-owned acquirers during the healthcare reform implementation period. In M&A transactions of this type, the investor-owned acquirer typically is motivated to pursue an acquisition when the deal promises an acceptable return on investment and decreased operating costs from economies of scale. Alternatively, the nonprofit target is typically seeking funding for upgrades to facilities and information technology systems as well as a continued commitment to charity care and managed-care contracting leverage. A successful acquisition of a nonprofit hospital by an investor-owned company requires a careful analysis of relevant tax, economic, and strategic factors prior to closing the deal. This article lists the most significant factors to consider in these deals and explains how these factors should influence the purchase price and postacquisition cash flow.

Superposing pure quantum states with partial prior information

Science.gov (United States)

Dogra, Shruti; Thomas, George; Ghosh, Sibasish; Suter, Dieter

2018-05-01

The principle of superposition is an intriguing feature of quantum mechanics, which is regularly exploited in many different circumstances. A recent work [M. Oszmaniec et al., Phys. Rev. Lett. 116, 110403 (2016), 10.1103/PhysRevLett.116.110403] shows that the fundamentals of quantum mechanics restrict the process of superimposing two unknown pure states, even though it is possible to superimpose two quantum states with partial prior knowledge. The prior knowledge imposes geometrical constraints on the choice of input states. We discuss an experimentally feasible protocol to superimpose multiple pure states of a d -dimensional quantum system and carry out an explicit experimental realization for two single-qubit pure states with partial prior information on a two-qubit NMR quantum information processor.

Bayesian Inference for Structured Spike and Slab Priors

DEFF Research Database (Denmark)

Andersen, Michael Riis; Winther, Ole; Hansen, Lars Kai

2014-01-01

Sparse signal recovery addresses the problem of solving underdetermined linear inverse problems subject to a sparsity constraint. We propose a novel prior formulation, the structured spike and slab prior, which allows to incorporate a priori knowledge of the sparsity pattern by imposing a spatial...

The Relationship between Immediate Relevant Basic Science Knowledge and Clinical Knowledge: Physiology Knowledge and Transthoracic Echocardiography Image Interpretation

Science.gov (United States)

Nielsen, Dorte Guldbrand; Gotzsche, Ole; Sonne, Ole; Eika, Berit

2012-01-01

Two major views on the relationship between basic science knowledge and clinical knowledge stand out; the Two-world view seeing basic science and clinical science as two separate knowledge bases and the encapsulated knowledge view stating that basic science knowledge plays an overt role being encapsulated in the clinical knowledge. However, resent…

The Effects of Prior Knowledge on Children's Memory and Suggestibility

Science.gov (United States)

Elischberger, Holger B.

2005-01-01

In this study, 5- and 6-year-olds were read a story and asked to recall its details. Two independent factors-prestory knowledge and poststory suggestions-were crossed to examine the effects on children's story recall. The results indicated that prestory social knowledge about the story protagonist as well as academic knowledge relating to the…

Prior-knowledge-based feedforward network simulation of true boiling point curve of crude oil.

Science.gov (United States)

Chen, C W; Chen, D Z

2001-11-01

Theoretical results and practical experience indicate that feedforward networks can approximate a wide class of functional relationships very well. This property is exploited in modeling chemical processes. Given finite and noisy training data, it is important to encode the prior knowledge in neural networks to improve the fit precision and the prediction ability of the model. In this paper, as to the three-layer feedforward networks and the monotonic constraint, the unconstrained method, Joerding's penalty function method, the interpolation method, and the constrained optimization method are analyzed first. Then two novel methods, the exponential weight method and the adaptive method, are proposed. These methods are applied in simulating the true boiling point curve of a crude oil with the condition of increasing monotonicity. The simulation experimental results show that the network models trained by the novel methods are good at approximating the actual process. Finally, all these methods are discussed and compared with each other.

Novel joint TOA/RSSI-based WCE location tracking method without prior knowledge of biological human body tissues.

Science.gov (United States)

Ito, Takahiro; Anzai, Daisuke; Jianqing Wang

2014-01-01

This paper proposes a novel joint time of arrival (TOA)/received signal strength indicator (RSSI)-based wireless capsule endoscope (WCE) location tracking method without prior knowledge of biological human tissues. Generally, TOA-based localization can achieve much higher localization accuracy than other radio frequency-based localization techniques, whereas wireless signals transmitted from a WCE pass through various kinds of human body tissues, as a result, the propagation velocity inside a human body should be different from one in free space. Because the variation of propagation velocity is mainly affected by the relative permittivity of human body tissues, instead of pre-measurement for the relative permittivity in advance, we simultaneously estimate not only the WCE location but also the relative permittivity information. For this purpose, this paper first derives the relative permittivity estimation model with measured RSSI information. Then, we pay attention to a particle filter algorithm with the TOA-based localization and the RSSI-based relative permittivity estimation. Our computer simulation results demonstrates that the proposed tracking methods with the particle filter can accomplish an excellent localization accuracy of around 2 mm without prior information of the relative permittivity of the human body tissues.

Effects of Reading Ability, Prior Knowledge, Topic Interest, and Locus of Control on At-Risk College Students' Use of Graphic Organizers and Summarizing.

Science.gov (United States)

Balajthy, Ernest; Weisberg, Renee

A study investigated the influence of key factors (general comprehension ability, prior knowledge of passage topic, interest in passage topic, and locus of control) on training at-risk college students in the use of graphic organizers as a cognitive learning strategy. Subjects, 60 college freshmen required to take a developmental reading/study…

The Effects of Source Credibility in the Presence or Absence of Prior Attitudes: Implications for the Design of Persuasive Communication Campaigns1

OpenAIRE

Kumkale, G. Tarcan; AlbarracÍn, Dolores; Seignourel, Paul J.

2010-01-01

Most theories of persuasion predict that limited ability and motivation to think about communications should increase the impact of source credibility on persuasion. Furthermore, this effect is assumed to occur, regardless of whether or not the recipients have prior attitudes. In this study, the effects of source credibility, ability, and motivation (knowledge, message repetition, relevance) on persuasion were examined meta-analytically across both attitude formation and change conditions. Fi...

Using prior risk-related knowledge to support risk management decisions: lessons learnt from a tunneling project.

Science.gov (United States)

Cárdenas, Ibsen Chivatá; Al-Jibouri, Saad S H; Halman, Johannes I M; van de Linde, Wim; Kaalberg, Frank

2014-10-01

The authors of this article have developed six probabilistic causal models for critical risks in tunnel works. The details of the models' development and evaluation were reported in two earlier publications of this journal. Accordingly, as a remaining step, this article is focused on the investigation into the use of these models in a real case study project. The use of the models is challenging given the need to provide information on risks that usually are both project and context dependent. The latter is of particular concern in underground construction projects. Tunnel risks are the consequences of interactions between site- and project-specific factors. Large variations and uncertainties in ground conditions as well as project singularities give rise to particular risk factors with very specific impacts. These circumstances mean that existing risk information, gathered from previous projects, is extremely difficult to use in other projects. This article considers these issues and addresses the extent to which prior risk-related knowledge, in the form of causal models, as the models developed for the investigation, can be used to provide useful risk information for the case study project. The identification and characterization of the causes and conditions that lead to failures and their interactions as well as their associated probabilistic information is assumed to be risk-related knowledge in this article. It is shown that, irrespective of existing constraints on using information and knowledge from past experiences, construction risk-related knowledge can be transferred and used from project to project in the form of comprehensive models based on probabilistic-causal relationships. The article also shows that the developed models provide guidance as to the use of specific remedial measures by means of the identification of critical risk factors, and therefore they support risk management decisions. Similarly, a number of limitations of the models are

The Limits to Relevance

Science.gov (United States)

Averill, M.; Briggle, A.

2006-12-01

Science policy and knowledge production lately have taken a pragmatic turn. Funding agencies increasingly are requiring scientists to explain the relevance of their work to society. This stems in part from mounting critiques of the "linear model" of knowledge production in which scientists operating according to their own interests or disciplinary standards are presumed to automatically produce knowledge that is of relevance outside of their narrow communities. Many contend that funded scientific research should be linked more directly to societal goals, which implies a shift in the kind of research that will be funded. While both authors support the concept of useful science, we question the exact meaning of "relevance" and the wisdom of allowing it to control research agendas. We hope to contribute to the conversation by thinking more critically about the meaning and limits of the term "relevance" and the trade-offs implicit in a narrow utilitarian approach. The paper will consider which interests tend to be privileged by an emphasis on relevance and address issues such as whose goals ought to be pursued and why, and who gets to decide. We will consider how relevance, narrowly construed, may actually limit the ultimate utility of scientific research. The paper also will reflect on the worthiness of research goals themselves and their relationship to a broader view of what it means to be human and to live in society. Just as there is more to being human than the pragmatic demands of daily life, there is more at issue with knowledge production than finding the most efficient ways to satisfy consumer preferences or fix near-term policy problems. We will conclude by calling for a balanced approach to funding research that addresses society's most pressing needs but also supports innovative research with less immediately apparent application.

The Effect of Prior Knowledge and Gender on Physics Achievement

Science.gov (United States)

Stewart, John; Henderson, Rachel

2017-01-01

Gender differences on the Conceptual Survey in Electricity and Magnetism (CSEM) have been extensively studied. Ten semesters (N=1621) of CSEM data is presented showing male students outperform female students on the CSEM posttest by 5 % (p qualitative in-semester test questions by 3 % (p = . 004), but no significant difference between male and female students was found on quantitative test questions. Male students enter the class with superior prior preparation in the subject and score 4 % higher on the CSEM pretest (p questions correctly (N=822), male and female differences on the CSEM and qualitative test questions cease to be significant. This suggests no intrinsic gender bias exists in the CSEM itself and that gender differences are the result of prior preparation measured by CSEM pretest score. Gender differences between male and female students increase with pretest score. Regression analyses are presented to further explore interactions between preparation, gender, and achievement.

The Effects of Source Credibility in the Presence or Absence of Prior Attitudes: Implications for the Design of Persuasive Communication Campaigns.

Science.gov (United States)

Kumkale, G Tarcan; Albarracín, Dolores; Seignourel, Paul J

2010-06-01

Most theories of persuasion predict that limited ability and motivation to think about communications should increase the impact of source credibility on persuasion. Furthermore, this effect is assumed to occur, regardless of whether or not the recipients have prior attitudes. In this study, the effects of source credibility, ability, and motivation (knowledge, message repetition, relevance) on persuasion were examined meta-analytically across both attitude formation and change conditions. Findings revealed that the Source Credibility × Ability/Motivation interaction emerged only when participants lacked prior attitudes and were unable to form a new attitude based on the message content. In such settings, the effects of source credibility decayed rapidly. The implications of these findings for applied communication campaigns are discussed.

Key characteristics relevant for selecting knowledge management software tools

CSIR Research Space (South Africa)

Smuts, H

2011-07-01

Full Text Available The shift to knowledge as the primary source of value results in the new economy being led by those who manage knowledge effectively. Today’s organisations are creating and leveraging knowledge, data and information at an unprecedented pace – a...

Uncovering and Informing Preservice Teachers' Prior Knowledge about Poverty

Science.gov (United States)

Mundy, Charlotte Anne; Leko, Melinda Marie

2015-01-01

This study explored 30 preservice teachers' knowledge on issues related to poverty. In an open-ended questionnaire, preservice teachers' perceptions of poverty and how teachers should respond to students from poverty were explored. Results indicated that preservice teachers' knowledge was nonspecific and lacked focus on the relationship among…

Example-driven manifold priors for image deconvolution.

Science.gov (United States)

Ni, Jie; Turaga, Pavan; Patel, Vishal M; Chellappa, Rama

2011-11-01

Image restoration methods that exploit prior information about images to be estimated have been extensively studied, typically using the Bayesian framework. In this paper, we consider the role of prior knowledge of the object class in the form of a patch manifold to address the deconvolution problem. Specifically, we incorporate unlabeled image data of the object class, say natural images, in the form of a patch-manifold prior for the object class. The manifold prior is implicitly estimated from the given unlabeled data. We show how the patch-manifold prior effectively exploits the available sample class data for regularizing the deblurring problem. Furthermore, we derive a generalized cross-validation (GCV) function to automatically determine the regularization parameter at each iteration without explicitly knowing the noise variance. Extensive experiments show that this method performs better than many competitive image deconvolution methods.

When the Periphery Becomes the Center. Forensic Anthropology in Argentina, a Case of Socially Relevant Scientific Knowledge Production

Directory of Open Access Journals (Sweden)

Luciano G. Levin

2015-12-01

Full Text Available Forensic anthropology has had extraordinary scientific success in Argentina. On the one hand, this discipline has developed very well in only 25 years generating scientifically relevant knowledge both locally and internationally. On the other hand, and unlike a large part of scientific knowledge generated in peripheral contexts, it has major social applications. This work describes the different dimensions of the origin and development of this discipline in Argentina, the cognitive condition of the field in 1983 and, briefly, its development until today, its institutional dimension, the existence of other research traditions and certain social dimensions which, we believe, are the basis for the success of this scientific discipline.

Effects of Type of Exploratory Strategy and Prior Knowledge on Middle School Students' Learning of Chemical Formulas from a 3D Role-Playing Game

Science.gov (United States)

Chen, Ming-Puu; Wong, Yu-Ting; Wang, Li-Chun

2014-01-01

The purpose of this study was to examine the effects of the type of exploratory strategy and level of prior knowledge on middle school students' performance and motivation in learning chemical formulas via a 3D role-playing game (RPG). Two types of exploratory strategies-RPG exploratory with worked-example and RPG exploratory without…

Suicide-Related Knowledge and Confidence Among Behavioral Health Care Staff in Seven States.

Science.gov (United States)

Silva, Caroline; Smith, April R; Dodd, Dorian R; Covington, David W; Joiner, Thomas E

2016-11-01

Death by suicide is a serious and growing public health concern in the United States. This noncontrolled, naturalistic study examined professionals' knowledge about suicide and confidence in working with suicidal individuals, comparing those who had received either of two gatekeeper trainings-Question, Persuade, and Refer (QPR) or Applied Suicide Intervention Skills Training (ASIST)-or other suicide-relevant training or no training. Participants (N=16,693) were individuals in various professional roles in the field of behavioral health care in Indiana, Kentucky, New York, Pennsylvania, Tennessee, Texas, and Utah. Participants completed a survey assessing suicide knowledge and skills confidence. Most participants (52.9%) reported no previous suicide prevention or assessment training. Individuals with suicide-relevant training demonstrated greater suicide knowledge and confidence than those with no such training. Among those who had received any training, no differences were found in suicide knowledge; however, individuals who had received ASIST reported greater confidence in working with suicidal individuals, compared with those who had received other training. Professional role and prior experience with a client who had died by suicide had significant positive relationships with suicide knowledge and confidence. Regional differences emerged between states and are examined within the context of statewide suicide prevention initiatives. Increasing access to and incentives for participating in suicide-relevant training among behavioral health care staff may foster a more knowledgeable and confident group of gatekeepers. Future research should examine whether increases in knowledge and confidence among staff translate into actual changes in practice that help protect and serve at-risk individuals.

Pre-service teacher professional development on climate change: Assessment of workshop success and influence of prior knowledge

Science.gov (United States)

Veron, D. E.; Ad-Marbach, G.; Fox-Lykens, R.; Ozbay, G.; Sezen-Barrie, A.; Wolfson, J.

2017-12-01

As states move to adopt the next generation science standards, in-service teachers are being provided with professional development that introduces climate change content and best practices for teaching climate change in the classroom. However, research has shown that it is challenging to bring this information into the higher education curriculum in education courses for pre-service teachers due to curricular and programming constraints. Over two years, the Maryland and Delaware Climate Change Assessment and Research (MADE-CLEAR) project explored a professional development approach for pre-service teachers which employed paired workshops that resulted in participant-developed lesson plans based on climate change content. The workshops were designed to provide pre-service teachers with climate change content related to the carbon cycle and to model a variety of techniques and activities for presenting this information in the classroom. Lesson plans were developed between the first and second workshop, presented at the second workshop and discussed with peers and in-service teachers, and then revised in response to feedback from the second workshop. Participant climate change content knowledge was assessed before the first workshop, and after the final revision of the lesson plan was submitted to the MADE-CLEAR team. Climate content knowledge was also assessed using the same survey for additional pre-service teacher groups who did not participate in the professional development. Results show that while the paired workshop approach increased climate content knowledge, the amount of improvement varied depending on the participants' prior knowledge in climate change content. In addition, some alternate conceptions of climate change were not altered by participant involvement in the professional development approach. Revised lesson plans showed understanding of underlying climate change impacts and demonstrated awareness of appropriate techniques for introducing this

Knowledge-fused differential dependency network models for detecting significant rewiring in biological networks.

Science.gov (United States)

Tian, Ye; Zhang, Bai; Hoffman, Eric P; Clarke, Robert; Zhang, Zhen; Shih, Ie-Ming; Xuan, Jianhua; Herrington, David M; Wang, Yue

2014-07-24

Modeling biological networks serves as both a major goal and an effective tool of systems biology in studying mechanisms that orchestrate the activities of gene products in cells. Biological networks are context-specific and dynamic in nature. To systematically characterize the selectively activated regulatory components and mechanisms, modeling tools must be able to effectively distinguish significant rewiring from random background fluctuations. While differential networks cannot be constructed by existing knowledge alone, novel incorporation of prior knowledge into data-driven approaches can improve the robustness and biological relevance of network inference. However, the major unresolved roadblocks include: big solution space but a small sample size; highly complex networks; imperfect prior knowledge; missing significance assessment; and heuristic structural parameter learning. To address these challenges, we formulated the inference of differential dependency networks that incorporate both conditional data and prior knowledge as a convex optimization problem, and developed an efficient learning algorithm to jointly infer the conserved biological network and the significant rewiring across different conditions. We used a novel sampling scheme to estimate the expected error rate due to "random" knowledge. Based on that scheme, we developed a strategy that fully exploits the benefit of this data-knowledge integrated approach. We demonstrated and validated the principle and performance of our method using synthetic datasets. We then applied our method to yeast cell line and breast cancer microarray data and obtained biologically plausible results. The open-source R software package and the experimental data are freely available at http://www.cbil.ece.vt.edu/software.htm. Experiments on both synthetic and real data demonstrate the effectiveness of the knowledge-fused differential dependency network in revealing the statistically significant rewiring in biological

Clinical relevance in anesthesia journals

DEFF Research Database (Denmark)

Lauritsen, Jakob; Møller, Ann M

2006-01-01

The purpose of this review is to present the latest knowledge and research on the definition and distribution of clinically relevant articles in anesthesia journals. It will also discuss the importance of the chosen methodology and outcome of articles.......The purpose of this review is to present the latest knowledge and research on the definition and distribution of clinically relevant articles in anesthesia journals. It will also discuss the importance of the chosen methodology and outcome of articles....

Penalised Complexity Priors for Stationary Autoregressive Processes

KAUST Repository

Sø rbye, Sigrunn Holbek; Rue, Haavard

2017-01-01

The autoregressive (AR) process of order p(AR(p)) is a central model in time series analysis. A Bayesian approach requires the user to define a prior distribution for the coefficients of the AR(p) model. Although it is easy to write down some prior, it is not at all obvious how to understand and interpret the prior distribution, to ensure that it behaves according to the users' prior knowledge. In this article, we approach this problem using the recently developed ideas of penalised complexity (PC) priors. These prior have important properties like robustness and invariance to reparameterisations, as well as a clear interpretation. A PC prior is computed based on specific principles, where model component complexity is penalised in terms of deviation from simple base model formulations. In the AR(1) case, we discuss two natural base model choices, corresponding to either independence in time or no change in time. The latter case is illustrated in a survival model with possible time-dependent frailty. For higher-order processes, we propose a sequential approach, where the base model for AR(p) is the corresponding AR(p-1) model expressed using the partial autocorrelations. The properties of the new prior distribution are compared with the reference prior in a simulation study.

Penalised Complexity Priors for Stationary Autoregressive Processes

KAUST Repository

Sørbye, Sigrunn Holbek

2017-05-25

The autoregressive (AR) process of order p(AR(p)) is a central model in time series analysis. A Bayesian approach requires the user to define a prior distribution for the coefficients of the AR(p) model. Although it is easy to write down some prior, it is not at all obvious how to understand and interpret the prior distribution, to ensure that it behaves according to the users\\' prior knowledge. In this article, we approach this problem using the recently developed ideas of penalised complexity (PC) priors. These prior have important properties like robustness and invariance to reparameterisations, as well as a clear interpretation. A PC prior is computed based on specific principles, where model component complexity is penalised in terms of deviation from simple base model formulations. In the AR(1) case, we discuss two natural base model choices, corresponding to either independence in time or no change in time. The latter case is illustrated in a survival model with possible time-dependent frailty. For higher-order processes, we propose a sequential approach, where the base model for AR(p) is the corresponding AR(p-1) model expressed using the partial autocorrelations. The properties of the new prior distribution are compared with the reference prior in a simulation study.

Exploring hurdles to transfer : student experiences of applying knowledge across disciplines

Science.gov (United States)

Lappalainen, Jouni; Rosqvist, Juho

2015-04-01

This paper explores the ways students perceive the transfer of learned knowledge to new situations - often a surprisingly difficult prospect. The novel aspect compared to the traditional transfer studies is that the learning phase is not a part of the experiment itself. The intention was only to activate acquired knowledge relevant to the transfer target using a short primer immediately prior to the situation where the knowledge was to be applied. Eight volunteer students from either mathematics or computer science curricula were given a task of designing an adder circuit using logic gates: a new context in which to apply knowledge of binary arithmetic and Boolean algebra. The results of a phenomenographic classification of the views presented by the students in their post-experiment interviews are reported. The degree to which the students were conscious of the acquired knowledge they employed and how they applied it in a new context emerged as the differentiating factors.

Crowdsourcing prior information to improve study design and data analysis.

Directory of Open Access Journals (Sweden)

Jeffrey S Chrabaszcz

Full Text Available Though Bayesian methods are being used more frequently, many still struggle with the best method for setting priors with novel measures or task environments. We propose a method for setting priors by eliciting continuous probability distributions from naive participants. This allows us to include any relevant information participants have for a given effect. Even when prior means are near-zero, this method provides a principle way to estimate dispersion and produce shrinkage, reducing the occurrence of overestimated effect sizes. We demonstrate this method with a number of published studies and compare the effect of different prior estimation and aggregation methods.

Reducing scan angle using adaptive prior knowledge for a limited-angle intrafraction verification (LIVE) system for conformal arc radiotherapy

Science.gov (United States)

Zhang, Yawei; Yin, Fang-Fang; Zhang, You; Ren, Lei

2017-05-01

The purpose of this study is to develop an adaptive prior knowledge guided image estimation technique to reduce the scan angle needed in the limited-angle intrafraction verification (LIVE) system for 4D-CBCT reconstruction. The LIVE system has been previously developed to reconstruct 4D volumetric images on-the-fly during arc treatment for intrafraction target verification and dose calculation. In this study, we developed an adaptive constrained free-form deformation reconstruction technique in LIVE to further reduce the scanning angle needed to reconstruct the 4D-CBCT images for faster intrafraction verification. This technique uses free form deformation with energy minimization to deform prior images to estimate 4D-CBCT based on kV-MV projections acquired in extremely limited angle (orthogonal 3°) during the treatment. Note that the prior images are adaptively updated using the latest CBCT images reconstructed by LIVE during treatment to utilize the continuity of the respiratory motion. The 4D digital extended-cardiac-torso (XCAT) phantom and a CIRS 008A dynamic thoracic phantom were used to evaluate the effectiveness of this technique. The reconstruction accuracy of the technique was evaluated by calculating both the center-of-mass-shift (COMS) and 3D volume-percentage-difference (VPD) of the tumor in reconstructed images and the true on-board images. The performance of the technique was also assessed with varied breathing signals against scanning angle, lesion size, lesion location, projection sampling interval, and scanning direction. In the XCAT study, using orthogonal-view of 3° kV and portal MV projections, this technique achieved an average tumor COMS/VPD of 0.4  ±  0.1 mm/5.5  ±  2.2%, 0.6  ±  0.3 mm/7.2  ±  2.8%, 0.5  ±  0.2 mm/7.1  ±  2.6%, 0.6  ±  0.2 mm/8.3  ±  2.4%, for baseline drift, amplitude variation, phase shift, and patient breathing signal variation

The Effects of Source Credibility in the Presence or Absence of Prior Attitudes: Implications for the Design of Persuasive Communication Campaigns1

Science.gov (United States)

Kumkale, G. Tarcan; AlbarracÍn, Dolores; Seignourel, Paul J.

2011-01-01

Most theories of persuasion predict that limited ability and motivation to think about communications should increase the impact of source credibility on persuasion. Furthermore, this effect is assumed to occur, regardless of whether or not the recipients have prior attitudes. In this study, the effects of source credibility, ability, and motivation (knowledge, message repetition, relevance) on persuasion were examined meta-analytically across both attitude formation and change conditions. Findings revealed that the Source Credibility × Ability/Motivation interaction emerged only when participants lacked prior attitudes and were unable to form a new attitude based on the message content. In such settings, the effects of source credibility decayed rapidly. The implications of these findings for applied communication campaigns are discussed. PMID:21625405

Prior-based artifact correction (PBAC) in computed tomography

International Nuclear Information System (INIS)

Heußer, Thorsten; Brehm, Marcus; Ritschl, Ludwig; Sawall, Stefan; Kachelrieß, Marc

2014-01-01

Purpose: Image quality in computed tomography (CT) often suffers from artifacts which may reduce the diagnostic value of the image. In many cases, these artifacts result from missing or corrupt regions in the projection data, e.g., in the case of metal, truncation, and limited angle artifacts. The authors propose a generalized correction method for different kinds of artifacts resulting from missing or corrupt data by making use of available prior knowledge to perform data completion. Methods: The proposed prior-based artifact correction (PBAC) method requires prior knowledge in form of a planning CT of the same patient or in form of a CT scan of a different patient showing the same body region. In both cases, the prior image is registered to the patient image using a deformable transformation. The registered prior is forward projected and data completion of the patient projections is performed using smooth sinogram inpainting. The obtained projection data are used to reconstruct the corrected image. Results: The authors investigate metal and truncation artifacts in patient data sets acquired with a clinical CT and limited angle artifacts in an anthropomorphic head phantom data set acquired with a gantry-based flat detector CT device. In all cases, the corrected images obtained by PBAC are nearly artifact-free. Compared to conventional correction methods, PBAC achieves better artifact suppression while preserving the patient-specific anatomy at the same time. Further, the authors show that prominent anatomical details in the prior image seem to have only minor impact on the correction result. Conclusions: The results show that PBAC has the potential to effectively correct for metal, truncation, and limited angle artifacts if adequate prior data are available. Since the proposed method makes use of a generalized algorithm, PBAC may also be applicable to other artifacts resulting from missing or corrupt data

Integrating clinicians, knowledge and data: expert-based cooperative analysis in healthcare decision support.

Science.gov (United States)

Gibert, Karina; García-Alonso, Carlos; Salvador-Carulla, Luis

2010-09-30

Decision support in health systems is a highly difficult task, due to the inherent complexity of the process and structures involved. This paper introduces a new hybrid methodology Expert-based Cooperative Analysis (EbCA), which incorporates explicit prior expert knowledge in data analysis methods, and elicits implicit or tacit expert knowledge (IK) to improve decision support in healthcare systems. EbCA has been applied to two different case studies, showing its usability and versatility: 1) Bench-marking of small mental health areas based on technical efficiency estimated by EbCA-Data Envelopment Analysis (EbCA-DEA), and 2) Case-mix of schizophrenia based on functional dependency using Clustering Based on Rules (ClBR). In both cases comparisons towards classical procedures using qualitative explicit prior knowledge were made. Bayesian predictive validity measures were used for comparison with expert panels results. Overall agreement was tested by Intraclass Correlation Coefficient in case "1" and kappa in both cases. EbCA is a new methodology composed by 6 steps:. 1) Data collection and data preparation; 2) acquisition of "Prior Expert Knowledge" (PEK) and design of the "Prior Knowledge Base" (PKB); 3) PKB-guided analysis; 4) support-interpretation tools to evaluate results and detect inconsistencies (here Implicit Knowledg -IK- might be elicited); 5) incorporation of elicited IK in PKB and repeat till a satisfactory solution; 6) post-processing results for decision support. EbCA has been useful for incorporating PEK in two different analysis methods (DEA and Clustering), applied respectively to assess technical efficiency of small mental health areas and for case-mix of schizophrenia based on functional dependency. Differences in results obtained with classical approaches were mainly related to the IK which could be elicited by using EbCA and had major implications for the decision making in both cases. This paper presents EbCA and shows the convenience of

Integrating clinicians, knowledge and data: expert-based cooperative analysis in healthcare decision support

Directory of Open Access Journals (Sweden)

García-Alonso Carlos

2010-09-01

Full Text Available Abstract Background Decision support in health systems is a highly difficult task, due to the inherent complexity of the process and structures involved. Method This paper introduces a new hybrid methodology Expert-based Cooperative Analysis (EbCA, which incorporates explicit prior expert knowledge in data analysis methods, and elicits implicit or tacit expert knowledge (IK to improve decision support in healthcare systems. EbCA has been applied to two different case studies, showing its usability and versatility: 1 Bench-marking of small mental health areas based on technical efficiency estimated by EbCA-Data Envelopment Analysis (EbCA-DEA, and 2 Case-mix of schizophrenia based on functional dependency using Clustering Based on Rules (ClBR. In both cases comparisons towards classical procedures using qualitative explicit prior knowledge were made. Bayesian predictive validity measures were used for comparison with expert panels results. Overall agreement was tested by Intraclass Correlation Coefficient in case "1" and kappa in both cases. Results EbCA is a new methodology composed by 6 steps:. 1 Data collection and data preparation; 2 acquisition of "Prior Expert Knowledge" (PEK and design of the "Prior Knowledge Base" (PKB; 3 PKB-guided analysis; 4 support-interpretation tools to evaluate results and detect inconsistencies (here Implicit Knowledg -IK- might be elicited; 5 incorporation of elicited IK in PKB and repeat till a satisfactory solution; 6 post-processing results for decision support. EbCA has been useful for incorporating PEK in two different analysis methods (DEA and Clustering, applied respectively to assess technical efficiency of small mental health areas and for case-mix of schizophrenia based on functional dependency. Differences in results obtained with classical approaches were mainly related to the IK which could be elicited by using EbCA and had major implications for the decision making in both cases. Discussion This

The Relevance of Indigenous Knowledge to Sustainable ...

African Journals Online (AJOL)

It is based on the experience, often tested over centuries of use, adapted to local culture and environment, dynamic and changing. People have an intimate knowledge of many aspects of their surroundings and their daily lives. Over centuries, people have learnt how to grow food and to survive in difficult environments.

Prediction of microwave absorption properties of tetrapod-needle zinc oxide whisker radar absorbing material without prior knowledge

Science.gov (United States)

Zhao, Yu-Chen; Wang, Jie; Liu, Jiang-Fan; Song, Zhong-Guo; Xi, Xiao-Li

2017-07-01

The radar absorbing material (RAM) containing a tetrapod-needle zinc oxide whisker (T-ZnOw) has been proved to have good efficiency of microwave absorption. However, the available theoretical models, which are intended to predict the microwave absorbing properties of such an interesting composite, still cannot work well without some prior knowledge, like the measured effective electromagnetic parameters of the prepared T-ZnOw composite. Hence, we propose a novel predictive method here to calculate the reflectivity of T-ZnOw RAM without prior knowledge. In this method, the absorbing ability of this kind of material is divided into three main aspects: the unstructured background, the conductive network, and the nanostructured particle. Then, the attenuation properties of these three parts are represented, respectively, by three different approaches: the equivalent spherical particle and the static strong fluctuation theory, the equivalent circuit model obtained from the complex impedance spectra technology, and the combination of four different microscopic electromagnetic responses. The operational calculation scheme can be obtained by integrating these three absorption effects into the existing theoretical attenuation model. The reasonable agreement between the theoretical and experimental data of a T-ZnON/SiO2 composite in the range of 8-14 GHz shows that the proposed scheme can predict the microwave absorption properties of the T-ZnOw RAM. Furthermore, a detailed analysis of these three mechanisms indicates that, on the one hand, the background plays a dominant role in determining the real part of the effective permittivity of the T-ZnOw composite while the network and the particle are the decisive factors of its material loss; on the other hand, an zero-phase impedance, i.e., a pure resistance, with appropriate resonance characteristic might be a rational physical description of the attenuation property of the conductive network, but it is difficult to realize

Prior information in structure estimation

Czech Academy of Sciences Publication Activity Database

Kárný, Miroslav; Nedoma, Petr; Khailova, Natalia; Pavelková, Lenka

2003-01-01

Roč. 150, č. 6 (2003), s. 643-653 ISSN 1350-2379 R&D Projects: GA AV ČR IBS1075102; GA AV ČR IBS1075351; GA ČR GA102/03/0049 Institutional research plan: CEZ:AV0Z1075907 Keywords : prior knowledge * structure estimation * autoregressive models Subject RIV: BC - Control Systems Theory Impact factor: 0.745, year: 2003 http://library.utia.cas.cz/separaty/historie/karny-0411258.pdf

JournalMap: Geo-semantic searching for relevant knowledge

Science.gov (United States)

Ecologists struggling to understand rapidly changing environments and evolving ecosystem threats need quick access to relevant research and documentation of natural systems. The advent of semantic and aggregation searching (e.g., Google Scholar, Web of Science) has made it easier to find useful lite...

Conceptualising GP teachers' knowledge: a pedagogical content knowledge perspective.

Science.gov (United States)

Cantillon, Peter; de Grave, Willem

2012-05-01

Most teacher development initiatives focus on enhancing knowledge of teaching (pedagogy), whilst largely ignoring other important features of teacher knowledge such as subject matter knowledge and awareness of the learning context. Furthermore, teachers' ability to learn from faculty development interventions is limited by their existing (often implicit) pedagogical knowledge and beliefs. Pedagogical content knowledge (PCK) represents a model of teacher knowledge incorporating what they know about subject matter, pedagogy and context. PCK can be used to explore teachers' prior knowledge and to structure faculty development programmes so that they take account of a broader range of teachers' knowledge. We set out to examine the application of a PCK model in a general practice education setting. This study is part of a larger study that employed a mixed method approach (concept mapping, phenomenological interviews and video-stimulated recall) to explore features of GP teachers' subject matter knowledge, pedagogical knowledge and knowledge of the learning environment in the context of a general practice tutorial. This paper presents data on GP teachers' pedagogical and context knowledge. There was considerable overlap between different GP teachers' knowledge and beliefs about learners and the clinical learning environment (i.e. knowledge of context). The teachers' beliefs about learners were largely based on assumptions derived from their own student experiences. There were stark differences, however, between teachers in terms of pedagogical knowledge, particularly in terms of their teaching orientations (i.e. transmission or facilitation orientation) and this was manifest in their teaching behaviours. PCK represents a useful model for conceptualising clinical teacher prior knowledge in three domains, namely subject matter, learning context and pedagogy. It can and should be used as a simple guiding framework by faculty developers to inform the design and delivery of

Assessment of Prior Learning in Adult Vocational Education and Training

Directory of Open Access Journals (Sweden)

Vibe Aarkrog

2015-04-01

Full Text Available The article deals about the results of a study of school-based Assessment of Prior Learning of adults who have enrolled as students in a VET college in order to qualify for occupations as skilled workers. Based on examples of VET teachers’ methods for assessing the students’ prior learning in the programs for gastronomes, respectively child care assistants the article discusses two issues in relation to Assessment of Prior Learing: the encounter of practical experience and school-based knowledge and the validity and reliability of the assessment procedures. Through focusing on the students’ knowing that and knowing why the assessment is based on a scholastic perception of the students’ needs for training, reflecting one of the most important challenges in Assessment of Prior Learning: how can practical experience be transformed into credits for the knowledge parts of the programs? The study shows that by combining several Assessment of Prior Learning methods and comparing the teachers’ assessments the teachers respond to the issues of validity and reliability. However, validity and reliability might be even further strengthened, if the competencies are well defined, if the education system is aware of securing a reasonable balance between knowing how, knowing that, and knowing why, and if the teachers are adequately trained for the assessment procedures.

Tacit knowledge.

Science.gov (United States)

Walker, Alexander Muir

2017-04-01

Information that is not made explicit is nonetheless embedded in most of our standard procedures. In its simplest form, embedded information may take the form of prior knowledge held by the researcher and presumed to be agreed to by consumers of the research product. More interesting are the settings in which the prior information is held unconsciously by both researcher and reader, or when the very form of an "effective procedure" incorporates its creator's (unspoken) understanding of a problem. While it may not be productive to exhaustively detail the embedded or tacit knowledge that manifests itself in creative scientific work, at least at the beginning, we may want to routinize methods for extracting and documenting the ways of thinking that make "experts" expert. We should not back away from both expecting and respecting the tacit knowledge the pervades our work and the work of others.

Prior elicitation: Interactive spreadsheet graphics with sliders can be fun, and informative

OpenAIRE

Jones, G; Johnson, WO

2014-01-01

There are several approaches to setting priors in Bayesian data analysis. Some attempt to minimize the impact of the prior on the posterior, allowing the data to "speak for themselves," or to provide Bayesian inferences that have good frequentist properties. In contrast, this note focuses on priors where scientific knowledge is used, possibly partially informative. There are many articles on the use of such subjective information. We focus on using standard software for eliciting priors from ...

Development of a new prior knowledge based image reconstruction algorithm for the cone-beam-CT in radiation therapy

International Nuclear Information System (INIS)

Vaegler, Sven

2016-01-01

follow up reconstructed images are not appropriate considered so far. These deviations may result from changes in anatomy including tumour shrinkage and loss of weight and may result in a degraded image quality of the reconstructed images. Deformable registration methods that adapt the prior images adequately can compensate this shortcoming of PICCS. Such registration techniques, however, suffer from limited accurateness and much higher computation time for the overall reconstruction process. Therefore, the aim of this thesis was to develop a new knowledge-based reconstruction algorithm that incorporates additionally local dependent reliability information about the prior images into reconstruction algorithm. The basic idea of the new algorithm is the assumption that the prior images are composed of areas with large and of areas with small deviations. Accordingly, the areas of the prior image were assigned as variable where substantial deformations due to motion or change in structure over the time series were expected. Hence, these regions were not providing valuable structural information for the anticipated result anymore. In contrast, ''a priori'' information was assigned to structurally stationary areas where no changes were expected. Based on this composition, a weighting matrix was generated that considers the strength of these variations during reconstruction. The new algorithm was tested in different feasibility studies to common dose reduction strategies. These dose reduction strategies includes the reduction of the number of projections, the acquisition of projections with strong noise and the reduction of the acquisition space. The main aim of this work was to demonstrate the gain of image quality when prior images with major variations are used compared to standard reconstruction techniques. The studies were performed with a computer phantom, and in particular with experimental data that have been acquired with the clinical CBCT. The new reconstruction

Prior Expectations Bias Sensory Representations in Visual Cortex

NARCIS (Netherlands)

Kok, P.; Brouwer, G.J.; Gerven, M.A.J. van; Lange, F.P. de

2013-01-01

Perception is strongly influenced by expectations. Accordingly, perception has sometimes been cast as a process of inference, whereby sensory inputs are combined with prior knowledge. However, despite a wealth of behavioral literature supporting an account of perception as probabilistic inference,

Bayesian nonparametric system reliability using sets of priors

NARCIS (Netherlands)

Walter, G.M.; Aslett, L.J.M.; Coolen, F.P.A.

2016-01-01

An imprecise Bayesian nonparametric approach to system reliability with multiple types of components is developed. This allows modelling partial or imperfect prior knowledge on component failure distributions in a flexible way through bounds on the functioning probability. Given component level test

Inter-technology knowledge spillovers for energy technologies

International Nuclear Information System (INIS)

Nemet, Gregory F.

2012-01-01

Both anecdotal evidence and the innovation literature indicate that important advances in energy technology have made use of knowledge originating in other technological areas. This study uses the set of U.S. patents granted from 1976 to 2006 to assess the role of knowledge acquired from outside each energy patent's technological classification. It identifies the effect of external knowledge on the forward citation frequency of energy patents. The results support the claim above. Regression coefficients on citations to external prior art are positive and significant. Further, the effect of external citations is significantly larger than that of other types of citations. Conversely, citations to prior art that is technologically near have a negative effect on forward citation frequency. These results are robust across several alternative specifications and definitions of whether each flow of knowledge is external. Important energy patents have drawn heavily from external prior art categorized as chemical, electronics, and electrical; they cite very little prior art from computers, communications, and medical inventions.

On Bayesian reliability analysis with informative priors and censoring

International Nuclear Information System (INIS)

Coolen, F.P.A.

1996-01-01

In the statistical literature many methods have been presented to deal with censored observations, both within the Bayesian and non-Bayesian frameworks, and such methods have been successfully applied to, e.g., reliability problems. Also, in reliability theory it is often emphasized that, through shortage of statistical data and possibilities for experiments, one often needs to rely heavily on judgements of engineers, or other experts, for which means Bayesian methods are attractive. It is therefore important that such judgements can be elicited easily to provide informative prior distributions that reflect the knowledge of the engineers well. In this paper we focus on this aspect, especially on the situation that the judgements of the consulted engineers are based on experiences in environments where censoring has also been present previously. We suggest the use of the attractive interpretation of hyperparameters of conjugate prior distributions when these are available for assumed parametric models for lifetimes, and we show how one may go beyond the standard conjugate priors, using similar interpretations of hyper-parameters, to enable easier elicitation when censoring has been present in the past. This may even lead to more flexibility for modelling prior knowledge than when using standard conjugate priors, whereas the disadvantage of more complicated calculations that may be needed to determine posterior distributions play a minor role due to the advanced mathematical and statistical software that is widely available these days

Realizing Relevance: The Influence of Domain-Specific Information on Generation of New Knowledge through Integration in 4- to 8-Year-Old Children

Science.gov (United States)

Bauer, Patricia J.; Larkina, Marina

2017-01-01

In accumulating knowledge, direct modes of learning are complemented by productive processes, including self-generation based on integration of separate episodes. Effects of the number of potentially relevant episodes on integration were examined in 4- to 8-year-olds (N = 121; racially/ethnically heterogeneous sample, English speakers, from large…

Knowledge Map of Facilities Management

DEFF Research Database (Denmark)

Nenonen, Suvi; Jensen, Per Anker; Lindahl, Göran

2014-01-01

both the research community and FM-practitioners can develop new models for identifying knowledge needs and gaps and to improve knowledge sharing and knowledge flow and thus the fulfilment of their mission and goals. Knowledge maps can also help in organizing research activities and analysing......Purpose This paper aims to draft a knowledge map of the fragmented and multidisciplinary research of and relevant to FM. Facilities management knowledge map is a tool for presenting what relevant data and knowledge, a.k.a. knowledge, resides in different disciplines. Knowledge mapping is a step...... in creating an inventory of knowledge (i.e. the knowledge base) and developing/improving the processes of knowledge sharing in research, education and practice. Theory Knowledge mapping is discussed in terms of knowledge management. The research is connected to knowledge mapping in the facilities management...

Recognition of Prior Learning: The Participants' Perspective

Science.gov (United States)

Miguel, Marta C.; Ornelas, José H.; Maroco, João P.

2016-01-01

The current narrative on lifelong learning goes beyond formal education and training, including learning at work, in the family and in the community. Recognition of prior learning is a process of evaluation of those skills and knowledge acquired through life experience, allowing them to be formally recognized by the qualification systems. It is a…

Drive Cost Reduction, Increase Innovation and Mitigate Risk with Advanced Knowledge Discovery Tools Designed to Unlock and Leverage Prior Knowledge

International Nuclear Information System (INIS)

Mitchell, I.

2016-01-01

Full text: The nuclear industry is knowledge-intensive and includes a diverse number of stakeholders. Much of this knowledge is at risk as engineers, technicians and project professionals retire, leaving a widening skills and information gap. This knowledge is critical in an increasingly complex environment with information from past projects often buried in decades-old, non-integrated systems enterprise. Engineers can spend 40% or more of their time searching for answers across the enterprise instead of solving problems. The inability to access trusted industry knowledge results in increased risk and expense. Advanced knowledge discovery technologies slash research times by as much as 75% and accelerate innovation and problem solving by giving technical professionals access to the information they need, in the context of the problems they are trying to solve. Unlike traditional knowledge management approaches, knowledge discovery tools powered by semantic search technologies are adept at uncovering answers in unstructured data and require no tagging, organization or moving of data, meaning a smaller IT footprint and faster time-to-knowledge. This session will highlight best-in-class knowledge discovery technologies, content, and strategies to give nuclear industry organizations the ability to leverage the corpus of enterprise knowledge into the future. (author

The foundation of the concept of relevance

DEFF Research Database (Denmark)

Hjørland, Birger

2010-01-01

that what was regarded as the most fundamental view by Saracevic in 1975 has not since been considered (with very few exceptions). Other views, which are based on less fruitful assumptions, have dominated the discourse on relevance in information retrieval and information science. Many authors have...... reexamined the concept of relevance in information science, but have neglected the subject knowledge view, hence basic theoretical assumptions seem not to have been properly addressed. It is as urgent now as it was in 1975 seriously to consider “the subject knowledge view” of relevance (which may also...... be termed “the epistemological view”). The concept of relevance, like other basic concepts, is influenced by overall approaches to information science, such as the cognitive view and the domain-analytic view. There is today a trend toward a social paradigm for information science. This paper offers...

Prior knowledge of deaf students fluent in brazilian sign languages regarding the algebraic language in high school

Directory of Open Access Journals (Sweden)

Silvia Teresinha Frizzarini

2014-06-01

Full Text Available There are few researches with deeper reflections on the study of algebra with deaf students. In order to validate and disseminate educational activities in that context, this article aims at highlighting the deaf students’ prior knowledge, fluent in Brazilian Sign Language, referring to the algebraic language used in high school. The theoretical framework used was Duval’s theory, with analysis of the changes, by treatment and conversion, of different registers of semiotic representation, in particular inequalities. The methodology used was the application of a diagnostic evaluation performed with deaf students, all fluent in Brazilian Sign Language, in a special school located in the north of Paraná State. We emphasize the need to work in both directions of conversion, in different languages, especially when the starting record is the graphic. Therefore, the conclusion reached was that one should not separate the algebraic representation from other records, due to the need of sign language perform not only the communication function, but also the functions of objectification and treatment, fundamental in cognitive development.

C. A. Meredith, A. N. Prior, and Possible Worlds

DEFF Research Database (Denmark)

Hasle, Per Frederik Vilhelm; Rybaříková, Zuzana

of Meredith’s and Prior’s work. On the one hand, it might cause corruption of Meredith’s system of logic and lead to paradoxes, as Prior pointed out in ‘Modal Logic with Functorial Variables and a Contingent Constant’. On the other hand, considering Prior as a mere follower of Meredith could cause......, their understanding of the relevant formal representations and indeed their general approach to modal logic considerably differed. These differences should be pointed out in order to more precisely appreciate the contribution of each of these authors. To neglect the differences could cause the misinterpretation...

Figure-ground segmentation based on class-independent shape priors

Science.gov (United States)

Li, Yang; Liu, Yang; Liu, Guojun; Guo, Maozu

2018-01-01

We propose a method to generate figure-ground segmentation by incorporating shape priors into the graph-cuts algorithm. Given an image, we first obtain a linear representation of an image and then apply directional chamfer matching to generate class-independent, nonparametric shape priors, which provide shape clues for the graph-cuts algorithm. We then enforce shape priors in a graph-cuts energy function to produce object segmentation. In contrast to previous segmentation methods, the proposed method shares shape knowledge for different semantic classes and does not require class-specific model training. Therefore, the approach obtains high-quality segmentation for objects. We experimentally validate that the proposed method outperforms previous approaches using the challenging PASCAL VOC 2010/2012 and Berkeley (BSD300) segmentation datasets.

Recognition of Prior Learning as an integral component of ...

African Journals Online (AJOL)

This is irrespective of whether that learning has been acquired through unstructured learning, performance development, off-the-job assessment, or skills and knowledge that meet workplace needs but have been gained through various previous learning experiences. The concept Recognition of Prior Learning (RPL) is ...

Imprecision and prior-data conflict in generalized Bayesian inference

NARCIS (Netherlands)

Walter, Gero; Augustin, T. (Thomas)

2009-01-01

A great advantage of imprecise probability models over models based on precise, traditional probabilities is the potential to reflect the amount of knowledge they stand for. Consequently, imprecise probability models promise to offer a vivid tool for handling situations of prior-data conflict in

Hierarchical Bayesian nonparametric mixture models for clustering with variable relevance determination.

Science.gov (United States)

Yau, Christopher; Holmes, Chris

2011-07-01

We propose a hierarchical Bayesian nonparametric mixture model for clustering when some of the covariates are assumed to be of varying relevance to the clustering problem. This can be thought of as an issue in variable selection for unsupervised learning. We demonstrate that by defining a hierarchical population based nonparametric prior on the cluster locations scaled by the inverse covariance matrices of the likelihood we arrive at a 'sparsity prior' representation which admits a conditionally conjugate prior. This allows us to perform full Gibbs sampling to obtain posterior distributions over parameters of interest including an explicit measure of each covariate's relevance and a distribution over the number of potential clusters present in the data. This also allows for individual cluster specific variable selection. We demonstrate improved inference on a number of canonical problems.

A Noninformative Prior on a Space of Distribution Functions

Directory of Open Access Journals (Sweden)

Alexander Terenin

2017-07-01

Full Text Available In a given problem, the Bayesian statistical paradigm requires the specification of a prior distribution that quantifies relevant information about the unknowns of main interest external to the data. In cases where little such information is available, the problem under study may possess an invariance under a transformation group that encodes a lack of information, leading to a unique prior—this idea was explored at length by E.T. Jaynes. Previous successful examples have included location-scale invariance under linear transformation, multiplicative invariance of the rate at which events in a counting process are observed, and the derivation of the Haldane prior for a Bernoulli success probability. In this paper we show that this method can be extended, by generalizing Jaynes, in two ways: (1 to yield families of approximately invariant priors; and (2 to the infinite-dimensional setting, yielding families of priors on spaces of distribution functions. Our results can be used to describe conditions under which a particular Dirichlet Process posterior arises from an optimal Bayesian analysis, in the sense that invariances in the prior and likelihood lead to one and only one posterior distribution.

Aging and memory as discrimination: Influences of encoding specificity, cue overload, and prior knowledge.

Science.gov (United States)

Badham, Stephen P; Poirier, Marie; Gandhi, Navina; Hadjivassiliou, Anna; Maylor, Elizabeth A

2016-11-01

From the perspective of memory-as-discrimination, whether a cue leads to correct retrieval simultaneously depends on the cue's relationship to (a) the memory target and (b) the other retrieval candidates. A corollary of the view is that increasing encoding-retrieval match may only help memory if it improves the cue's capacity to discriminate the target from competitors. Here, age differences in this discrimination process were assessed by manipulating the overlap between cues present at encoding and retrieval orthogonally with cue-target distinctiveness. In Experiment 1, associative memory differences for cue-target sets between young and older adults were minimized through training and retrieval efficiency was assessed through response time. In Experiment 2, age-group differences in associative memory were left to vary and retrieval efficiency was assessed through accuracy. Both experiments showed age-invariance in memory-as-discrimination: cues increasing encoding-retrieval match did not benefit memory unless they also improved discrimination between the target and competitors. Predictions based on the age-related associative deficit were also supported: prior knowledge alleviated age-related associative deficits (Experiment 1), and increasing encoding-retrieval match benefited older more than young adults (Experiment 2). We suggest that the latter occurred because older adults' associative memory deficits reduced the impact of competing retrieval candidates-hence the age-related benefit was not attributable to encoding-retrieval match per se, but rather it was a joint function of an increased probability of the cue connecting to the target combined with a decrease in competing retrieval candidates. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

Aging and Memory as Discrimination: Influences of Encoding Specificity, Cue Overload, and Prior Knowledge

Science.gov (United States)

2016-01-01

From the perspective of memory-as-discrimination, whether a cue leads to correct retrieval simultaneously depends on the cue’s relationship to (a) the memory target and (b) the other retrieval candidates. A corollary of the view is that increasing encoding-retrieval match may only help memory if it improves the cue’s capacity to discriminate the target from competitors. Here, age differences in this discrimination process were assessed by manipulating the overlap between cues present at encoding and retrieval orthogonally with cue–target distinctiveness. In Experiment 1, associative memory differences for cue–target sets between young and older adults were minimized through training and retrieval efficiency was assessed through response time. In Experiment 2, age-group differences in associative memory were left to vary and retrieval efficiency was assessed through accuracy. Both experiments showed age-invariance in memory-as-discrimination: cues increasing encoding-retrieval match did not benefit memory unless they also improved discrimination between the target and competitors. Predictions based on the age-related associative deficit were also supported: prior knowledge alleviated age-related associative deficits (Experiment 1), and increasing encoding-retrieval match benefited older more than young adults (Experiment 2). We suggest that the latter occurred because older adults’ associative memory deficits reduced the impact of competing retrieval candidates—hence the age-related benefit was not attributable to encoding-retrieval match per se, but rather it was a joint function of an increased probability of the cue connecting to the target combined with a decrease in competing retrieval candidates. PMID:27831714

Theoretical implementation of prior knowledge in the design of a multi-scale prosthesis satisfaction questionnaire.

Science.gov (United States)

Schürmann, Tim; Beckerle, Philipp; Preller, Julia; Vogt, Joachim; Christ, Oliver

2016-12-19

In product development for lower limb prosthetic devices, a set of special criteria needs to be met. Prosthetic devices have a direct impact on the rehabilitation process after an amputation with both perceived technological and psychological aspects playing an important role. However, available psychometric questionnaires fail to consider the important links between these two dimensions. In this article a probabilistic latent trait model is proposed with seven technical and psychological factors which measure satisfaction with the prosthesis. The results of a first study are used to determine the basic parameters of the statistical model. These distributions represent hypotheses about factor loadings between manifest items and latent factors of the proposed psychometric questionnaire. A study was conducted and analyzed to form hypotheses for the prior distributions of the questionnaire's measurement model. An expert agreement study conducted on 22 experts was used to determine the prior distribution of item-factor loadings in the model. Model parameters that had to be specified as part of the measurement model were informed prior distributions on the item-factor loadings. For the current 70 items in the questionnaire, each factor loading was set to represent the certainty with which experts had assigned the items to their respective factors. Considering only the measurement model and not the structural model of the questionnaire, 70 out of 217 informed prior distributions on parameters were set. The use of preliminary studies to set prior distributions in latent trait models, while being a relatively new approach in psychological research, provides helpful information towards the design of a seven factor questionnaire that means to identify relations between technical and psychological factors in prosthetic product design and rehabilitation medicine.

How Knowledge Powers Reading

Science.gov (United States)

Lemov, Doug

2017-01-01

Recent research shows that reading comprehension relies heavily on prior knowledge. Far more than generic "reading skills" like drawing inferences, making predictions, and knowing the function of subheads, how well students learn from a nonfiction text depends on their background knowledge of the text's subject matter. And in a cyclical…

A Study of Operationally Relevant C2 Knowledge Management

National Research Council Canada - National Science Library

Petrov, Plamen

2003-01-01

.... The empirical phase of the project was designed to compare the performance of C2 personnel using an advanced information/knowledge management software environment to C2 personnel using a currently...

Segmentation of kidney using C-V model and anatomy priors

Science.gov (United States)

Lu, Jinghua; Chen, Jie; Zhang, Juan; Yang, Wenjia

2007-12-01

This paper presents an approach for kidney segmentation on abdominal CT images as the first step of a virtual reality surgery system. Segmentation for medical images is often challenging because of the objects' complicated anatomical structures, various gray levels, and unclear edges. A coarse to fine approach has been applied in the kidney segmentation using Chan-Vese model (C-V model) and anatomy prior knowledge. In pre-processing stage, the candidate kidney regions are located. Then C-V model formulated by level set method is applied in these smaller ROI, which can reduce the calculation complexity to a certain extent. At last, after some mathematical morphology procedures, the specified kidney structures have been extracted interactively with prior knowledge. The satisfying results on abdominal CT series show that the proposed approach keeps all the advantages of C-V model and overcome its disadvantages.

Folate knowledge and consumer behaviour among pregnant New Zealand women prior to the potential introduction of mandatory fortification.

Science.gov (United States)

Mallard, Simonette R; Houghton, Lisa A

2012-01-01

To reduce the risk of neural tube defects, the New Zealand Ministry of Health recommends women take supplemental folic acid from at least one month preconception until the end of the twelfth week of pregnancy, as well as consume folate-rich foods. A postpartum survey was conducted to describe folate knowledge and consumer behaviour among pregnant New Zealand women prior to the potential implementation of mandatory folic acid fortification of bread in May 2012. Increasing knowledge of folic acid recommendations was associated with higher supplement uptake among women who planned their pregnancies (p=0.001 for linear trend). Folic acid information failed to adequately reach some socio-demographic subgroups before conception, even when pregnancy was planned, including: indigenous Maori, Pacific and Asian women, younger women, women with large families, and women with lower educational attainment and income. Only half of all women surveyed knew some bread contained added folic acid, and among these women, less than 2% consistently chose voluntarily fortified bread during the periconceptional period by inspecting labels. Sixty-one percent of women indicated they were either in favour of mandatory fortification, or held no opinion on the matter, while 4% were opposed to the addition of folic acid to bread. Approximately one-third (35%) of women agreed with voluntary fortification. Future health promotion initiatives should be tailored toward women who are younger, less educated, with lower income, multiparous or of minority ethnicity status. Nonetheless, mandatory folic acid fortification may be required to attain the desired degree of equity.

Examining Hip-Hop as Culturally Relevant Pedagogy

Science.gov (United States)

Kim, Jung; Pulido, Isaura

2015-01-01

Culturally relevant pedagogy is a framework that conceptualizes the process of student learning as contingent upon educators' deep understanding of students' cultural backgrounds to co-construct knowledge and develop academic skills. Concurrently, there are a growing number of studies that explore hip-hop as a culturally relevant curriculum for…

Knowledge brokers in a knowledge network: the case of Seniors Health Research Transfer Network knowledge brokers.

Science.gov (United States)

Conklin, James; Lusk, Elizabeth; Harris, Megan; Stolee, Paul

2013-01-09

The purpose of this paper is to describe and reflect on the role of knowledge brokers (KBs) in the Seniors Health Research Transfer Network (SHRTN). The paper reviews the relevant literature on knowledge brokering, and then describes the evolving role of knowledge brokering in this knowledge network. The description of knowledge brokering provided here is based on a developmental evaluation program and on the experiences of the authors. Data were gathered through qualitative and quantitative methods, analyzed by the evaluators, and interpreted by network members who participated in sensemaking forums. The results were fed back to the network each year in the form of formal written reports that were widely distributed to network members, as well as through presentations to the network's members. The SHRTN evaluation and our experiences as evaluators and KBs suggest that a SHRTN KB facilitates processes of learning whereby people are connected with tacit or explicit knowledge sources that will help them to resolve work-related challenges. To make this happen, KBs engage in a set of relational, technical, and analytical activities that help communities of practice (CoPs) to develop and operate, facilitate exchanges among people with similar concerns and interests, and help groups and individuals to create, explore, and apply knowledge in their practice. We also suggest that the role is difficult to define, emergent, abstract, episodic, and not fully understood. The KB role within this knowledge network has developed and matured over time. The KB adapts to the social and technical affordances of each situation, and fashions a unique and relevant process to create relationships and promote learning and change. The ability to work with teams and to develop relevant models and feasible approaches are critical KB skills. The KB is a leader who wields influence rather than power, and who is prepared to adopt whatever roles and approaches are needed to bring about a valuable

A Compositional Relevance Model for Adaptive Information Retrieval

Science.gov (United States)

Mathe, Nathalie; Chen, James; Lu, Henry, Jr. (Technical Monitor)

1994-01-01

There is a growing need for rapid and effective access to information in large electronic documentation systems. Access can be facilitated if information relevant in the current problem solving context can be automatically supplied to the user. This includes information relevant to particular user profiles, tasks being performed, and problems being solved. However most of this knowledge on contextual relevance is not found within the contents of documents, and current hypermedia tools do not provide any easy mechanism to let users add this knowledge to their documents. We propose a compositional relevance network to automatically acquire the context in which previous information was found relevant. The model records information on the relevance of references based on user feedback for specific queries and contexts. It also generalizes such information to derive relevant references for similar queries and contexts. This model lets users filter information by context of relevance, build personalized views of documents over time, and share their views with other users. It also applies to any type of multimedia information. Compared to other approaches, it is less costly and doesn't require any a priori statistical computation, nor an extended training period. It is currently being implemented into the Computer Integrated Documentation system which enables integration of various technical documents in a hypertext framework.

Knowledge Transfers following Acquisition

DEFF Research Database (Denmark)

Gammelgaard, Jens

2001-01-01

Prior relations between the acquiring firm and the target company pave the way for knowledge transfers subsequent to the acquisitions. One major reason is that through the market-based relations the two actors build up mutual trust and simultaneously they learn how to communicate. An empirical...... study of 54 Danish acquisitions taking place abroad from 1994 to 1998 demonstrated that when there was a high level of trust between the acquiring firm and the target firm before the take-over, then medium and strong tie-binding knowledge transfer mechanisms, such as project groups and job rotation......, were used more intensively. Further, the degree of stickiness was significantly lower in the case of prior trust-based relations....

Influence of prior knowledge of exercise duration on pacing strategies during game-based activities.

Science.gov (United States)

Gabbett, Tim J; Walker, Ben; Walker, Shane

2015-04-01

To investigate the influence of prior knowledge of exercise duration on the pacing strategies employed during game-based activities. Twelve semiprofessional team-sport athletes (mean ± SD age 22.8 ± 2.1 y) participated in this study. Players performed 3 small-sided games in random order. In one condition (Control), players were informed that they would play the small-sided game for 12 min and then completed the 12-min game. In a 2nd condition (Deception), players were told that they would play the small-sided game for 6 minutes, but after completing the 6-min game, they were asked to complete another 6 min. In a 3rd condition (Unknown), players were not told how long they would be required to play the small-sided game, but the activity was terminated after 12 min. Movement was recorded using a GPS unit sampling at 10 Hz. Post hoc inspection of video footage was undertaken to count the number of possessions and the number and quality of disposals. Higher initial intensities were observed in the Deception (130.6 ± 3.3 m/min) and Unknown (129.3 ± 2.4 m/min) conditions than the Control condition (123.3 ± 3.4 m/min). Greater amounts of high-speed running occurred during the initial phases of the Deception condition, and more low-speed activity occurred during the Unknown condition. A moderately greater number of total skill involvements occurred in the Unknown condition than the Control condition. These findings suggest that during game-based activities, players alter their pacing strategy based on the anticipated endpoint of the exercise bout.

Automatized spleen segmentation in non-contrast-enhanced MR volume data using subject-specific shape priors

Science.gov (United States)

Gloger, Oliver; Tönnies, Klaus; Bülow, Robin; Völzke, Henry

2017-07-01

To develop the first fully automated 3D spleen segmentation framework derived from T1-weighted magnetic resonance (MR) imaging data and to verify its performance for spleen delineation and volumetry. This approach considers the issue of low contrast between spleen and adjacent tissue in non-contrast-enhanced MR images. Native T1-weighted MR volume data was performed on a 1.5 T MR system in an epidemiological study. We analyzed random subsamples of MR examinations without pathologies to develop and verify the spleen segmentation framework. The framework is modularized to include different kinds of prior knowledge into the segmentation pipeline. Classification by support vector machines differentiates between five different shape types in computed foreground probability maps and recognizes characteristic spleen regions in axial slices of MR volume data. A spleen-shape space generated by training produces subject-specific prior shape knowledge that is then incorporated into a final 3D level set segmentation method. Individually adapted shape-driven forces as well as image-driven forces resulting from refined foreground probability maps steer the level set successfully to the segment the spleen. The framework achieves promising segmentation results with mean Dice coefficients of nearly 0.91 and low volumetric mean errors of 6.3%. The presented spleen segmentation approach can delineate spleen tissue in native MR volume data. Several kinds of prior shape knowledge including subject-specific 3D prior shape knowledge can be used to guide segmentation processes achieving promising results.

Sparse Multivariate Modeling: Priors and Applications

DEFF Research Database (Denmark)

Henao, Ricardo

This thesis presents a collection of statistical models that attempt to take advantage of every piece of prior knowledge available to provide the models with as much structure as possible. The main motivation for introducing these models is interpretability since in practice we want to be able...... a general yet self-contained description of every model in terms of generative assumptions, interpretability goals, probabilistic formulation and target applications. Case studies, benchmark results and practical details are also provided as appendices published elsewhere, containing reprints of peer...

Effects of prior interpretation on situation assessment is crime analysis

NARCIS (Netherlands)

Kerstholt, J.H.; Eikelboom, A.R.

2007-01-01

Purpose - To investigate the effects of prior case knowledge on the judgement of crime analysts. Design/methodology/approach - Explains that crime analysts assist when an investigation team has converged/agreed on a probable scenario, attributes this convergence to group-think, but points out this

The impact of napping on memory for future-relevant stimuli: Prioritization among multiple salience cues.

Science.gov (United States)

Bennion, Kelly A; Payne, Jessica D; Kensinger, Elizabeth A

2016-06-01

Prior research has demonstrated that sleep enhances memory for future-relevant information, including memory for information that is salient due to emotion, reward, or knowledge of a later memory test. Although sleep has been shown to prioritize information with any of these characteristics, the present study investigates the novel question of how sleep prioritizes information when multiple salience cues exist. Participants encoded scenes that were future-relevant based on emotion (emotional vs. neutral), reward (rewarded vs. unrewarded), and instructed learning (intentionally vs. incidentally encoded), preceding a delay consisting of a nap, an equivalent time period spent awake, or a nap followed by wakefulness (to control for effects of interference). Recognition testing revealed that when multiple dimensions of future relevance co-occur, sleep prioritizes top-down, goal-directed cues (instructed learning, and to a lesser degree, reward) over bottom-up, stimulus-driven characteristics (emotion). Further, results showed that these factors interact; the effect of a nap on intentionally encoded information was especially strong for neutral (relative to emotional) information, suggesting that once one cue for future relevance is present, there are diminishing returns with additional cues. Sleep may binarize information based on whether it is future-relevant or not, preferentially consolidating memory for the former category. Potential neural mechanisms underlying these selective effects and the implications of this research for educational and vocational domains are discussed. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

Discovering relevance knowledge in data: a growing cell structures approach.

Science.gov (United States)

Azuaje, F; Dubitzky, W; Black, N; Adamson, K

2000-01-01

Both information retrieval and case-based reasoning systems rely on effective and efficient selection of relevant data. Typically, relevance in such systems is approximated by similarity or indexing models. However, the definition of what makes data items similar or how they should be indexed is often nontrivial and time-consuming. Based on growing cell structure artificial neural networks, this paper presents a method that automatically constructs a case retrieval model from existing data. Within the case-based reasoning (CBR) framework, the method is evaluated for two medical prognosis tasks, namely, colorectal cancer survival and coronary heart disease risk prognosis. The results of the experiments suggest that the proposed method is effective and robust. To gain a deeper insight and understanding of the underlying mechanisms of the proposed model, a detailed empirical analysis of the models structural and behavioral properties is also provided.

The Relevance of Academic Research in OSCM Practice

Science.gov (United States)

Raffield, Wiliam D.; Vang, David O.; Lundsten, Lorman L.

2016-01-01

The authors examine the relevance of academic research for operations and supply chain management (OSCM) professionals. Members of a major metropolitan APICS chapter were surveyed. Consistent with prior research, findings indicate that OSCM practitioners prefer trade journal articles to academic research. Nonetheless, respondents indicate interest…

Elapsed decision time affects the weighting of prior probability in a perceptual decision task

Science.gov (United States)

Hanks, Timothy D.; Mazurek, Mark E.; Kiani, Roozbeh; Hopp, Elizabeth; Shadlen, Michael N.

2012-01-01

Decisions are often based on a combination of new evidence with prior knowledge of the probable best choice. Optimal combination requires knowledge about the reliability of evidence, but in many realistic situations, this is unknown. Here we propose and test a novel theory: the brain exploits elapsed time during decision formation to combine sensory evidence with prior probability. Elapsed time is useful because (i) decisions that linger tend to arise from less reliable evidence, and (ii) the expected accuracy at a given decision time depends on the reliability of the evidence gathered up to that point. These regularities allow the brain to combine prior information with sensory evidence by weighting the latter in accordance with reliability. To test this theory, we manipulated the prior probability of the rewarded choice while subjects performed a reaction-time discrimination of motion direction using a range of stimulus reliabilities that varied from trial to trial. The theory explains the effect of prior probability on choice and reaction time over a wide range of stimulus strengths. We found that prior probability was incorporated into the decision process as a dynamic bias signal that increases as a function of decision time. This bias signal depends on the speed-accuracy setting of human subjects, and it is reflected in the firing rates of neurons in the lateral intraparietal cortex (LIP) of rhesus monkeys performing this task. PMID:21525274

Cholera Vaccination Campaign Contributes to Improved Knowledge Regarding Cholera and Improved Practice Relevant to Waterborne Disease in Rural Haiti

Science.gov (United States)

Aibana, Omowunmi; Franke, Molly; Teng, Jessica; Hilaire, Johanne; Raymond, Max; Ivers, Louise C.

2013-01-01

Background Haiti's cholera epidemic has been devastating partly due to underlying weak infrastructure and limited clean water and sanitation. A comprehensive approach to cholera control is crucial, yet some have argued that oral cholera vaccination (OCV) might result in reduced hygiene practice among recipients. We evaluated the impact of an OCV campaign on knowledge and health practice in rural Haiti. Methodology/Principal Findings We administered baseline surveys on knowledge and practice relevant to cholera and waterborne disease to every 10th household during a census in rural Haiti in February 2012 (N = 811). An OCV campaign occurred from May–June 2012 after which we administered identical surveys to 518 households randomly chosen from the same region in September 2012. We compared responses pre- and post-OCV campaign. Post-vaccination, there was improved knowledge with significant increase in percentage of respondents with ≥3 correct responses on cholera transmission mechanisms (odds ratio[OR] 1.91; 95% confidence interval[CI] 1.52–2.40), preventive methods (OR 1.83; 95% CI 1.46–2.30), and water treatment modalities (OR 2.75; 95% CI 2.16–3.50). Relative to pre-vaccination, participants were more likely post-OCV to report always treating water (OR 1.62; 95% CI 1.28–2.05). Respondents were also more likely to report hand washing with soap and water >4 times daily post-vaccine (OR 1.30; 95% CI 1.03–1.64). Knowledge of treating water as a cholera prevention measure was associated with practice of always treating water (OR 1.47; 95% CI 1.14–1.89). Post-vaccination, knowledge was associated with frequent hand washing (OR 2.47; 95% CI 1.35–4.51). Conclusion An OCV campaign in rural Haiti was associated with significant improvement in cholera knowledge and practices related to waterborne disease. OCV can be part of comprehensive cholera control and reinforce, not detract from, other control efforts in Haiti. PMID:24278498

Cholera vaccination campaign contributes to improved knowledge regarding cholera and improved practice relevant to waterborne disease in rural Haiti.

Directory of Open Access Journals (Sweden)

Omowunmi Aibana

2013-11-01

Full Text Available Haiti's cholera epidemic has been devastating partly due to underlying weak infrastructure and limited clean water and sanitation. A comprehensive approach to cholera control is crucial, yet some have argued that oral cholera vaccination (OCV might result in reduced hygiene practice among recipients. We evaluated the impact of an OCV campaign on knowledge and health practice in rural Haiti.We administered baseline surveys on knowledge and practice relevant to cholera and waterborne disease to every 10th household during a census in rural Haiti in February 2012 (N = 811. An OCV campaign occurred from May-June 2012 after which we administered identical surveys to 518 households randomly chosen from the same region in September 2012. We compared responses pre- and post-OCV campaign. Post-vaccination, there was improved knowledge with significant increase in percentage of respondents with ≥ 3 correct responses on cholera transmission mechanisms (odds ratio[OR] 1.91; 95% confidence interval[CI] 1.52-2.40, preventive methods (OR 1.83; 95% CI 1.46-2.30, and water treatment modalities (OR 2.75; 95% CI 2.16-3.50. Relative to pre-vaccination, participants were more likely post-OCV to report always treating water (OR 1.62; 95% CI 1.28-2.05. Respondents were also more likely to report hand washing with soap and water >4 times daily post-vaccine (OR 1.30; 95% CI 1.03-1.64. Knowledge of treating water as a cholera prevention measure was associated with practice of always treating water (OR 1.47; 95% CI 1.14-1.89. Post-vaccination, knowledge was associated with frequent hand washing (OR 2.47; 95% CI 1.35-4.51.An OCV campaign in rural Haiti was associated with significant improvement in cholera knowledge and practices related to waterborne disease. OCV can be part of comprehensive cholera control and reinforce, not detract from, other control efforts in Haiti.

Prior Elicitation, Assessment and Inference with a Dirichlet Prior

Directory of Open Access Journals (Sweden)

Michael Evans

2017-10-01

Full Text Available Methods are developed for eliciting a Dirichlet prior based upon stating bounds on the individual probabilities that hold with high prior probability. This approach to selecting a prior is applied to a contingency table problem where it is demonstrated how to assess the prior with respect to the bias it induces as well as how to check for prior-data conflict. It is shown that the assessment of a hypothesis via relative belief can easily take into account what it means for the falsity of the hypothesis to correspond to a difference of practical importance and provide evidence in favor of a hypothesis.

The illogicality of stock-brokers: psychological experiments on the effects of prior knowledge and belief biases on logical reasoning in stock trading.

Science.gov (United States)

Knauff, Markus; Budeck, Claudia; Wolf, Ann G; Hamburger, Kai

2010-10-18

Explanations for the current worldwide financial crisis are primarily provided by economists and politicians. However, in the present work we focus on the psychological-cognitive factors that most likely affect the thinking of people on the economic stage and thus might also have had an effect on the progression of the crises. One of these factors might be the effect of prior beliefs on reasoning and decision-making. So far, this question has been explored only to a limited extent. We report two experiments on logical reasoning competences of nineteen stock-brokers with long-lasting vocational experiences at the stock market. The premises of reasoning problems concerned stock trading and the experiments varied whether or not their conclusions--a proposition which is reached after considering the premises--agreed with the brokers' prior beliefs. Half of the problems had a conclusion that was highly plausible for stock-brokers while the other half had a highly implausible conclusion. The data show a strong belief bias. Stock-brokers were strongly biased by their prior knowledge. Lowest performance was found for inferences in which the problems caused a conflict between logical validity and the experts' belief. In these cases, the stock-brokers tended to make logically invalid inferences rather than give up their existing beliefs. Our findings support the thesis that cognitive factors have an effect on the decision-making on the financial market. In the present study, stock-brokers were guided more by past experience and existing beliefs than by logical thinking and rational decision-making. They had difficulties to disengage themselves from vastly anchored thinking patterns. However, we believe, that it is wrong to accuse the brokers for their "malfunctions", because such hard-wired cognitive principles are difficult to suppress even if the person is aware of them.

The illogicality of stock-brokers: psychological experiments on the effects of prior knowledge and belief biases on logical reasoning in stock trading.

Directory of Open Access Journals (Sweden)

Markus Knauff

Full Text Available BACKGROUND: Explanations for the current worldwide financial crisis are primarily provided by economists and politicians. However, in the present work we focus on the psychological-cognitive factors that most likely affect the thinking of people on the economic stage and thus might also have had an effect on the progression of the crises. One of these factors might be the effect of prior beliefs on reasoning and decision-making. So far, this question has been explored only to a limited extent. METHODS: We report two experiments on logical reasoning competences of nineteen stock-brokers with long-lasting vocational experiences at the stock market. The premises of reasoning problems concerned stock trading and the experiments varied whether or not their conclusions--a proposition which is reached after considering the premises--agreed with the brokers' prior beliefs. Half of the problems had a conclusion that was highly plausible for stock-brokers while the other half had a highly implausible conclusion. RESULTS: The data show a strong belief bias. Stock-brokers were strongly biased by their prior knowledge. Lowest performance was found for inferences in which the problems caused a conflict between logical validity and the experts' belief. In these cases, the stock-brokers tended to make logically invalid inferences rather than give up their existing beliefs. CONCLUSIONS: Our findings support the thesis that cognitive factors have an effect on the decision-making on the financial market. In the present study, stock-brokers were guided more by past experience and existing beliefs than by logical thinking and rational decision-making. They had difficulties to disengage themselves from vastly anchored thinking patterns. However, we believe, that it is wrong to accuse the brokers for their "malfunctions", because such hard-wired cognitive principles are difficult to suppress even if the person is aware of them.

Uncertainty plus prior equals rational bias: an intuitive Bayesian probability weighting function.

Science.gov (United States)

Fennell, John; Baddeley, Roland

2012-10-01

Empirical research has shown that when making choices based on probabilistic options, people behave as if they overestimate small probabilities, underestimate large probabilities, and treat positive and negative outcomes differently. These distortions have been modeled using a nonlinear probability weighting function, which is found in several nonexpected utility theories, including rank-dependent models and prospect theory; here, we propose a Bayesian approach to the probability weighting function and, with it, a psychological rationale. In the real world, uncertainty is ubiquitous and, accordingly, the optimal strategy is to combine probability statements with prior information using Bayes' rule. First, we show that any reasonable prior on probabilities leads to 2 of the observed effects; overweighting of low probabilities and underweighting of high probabilities. We then investigate 2 plausible kinds of priors: informative priors based on previous experience and uninformative priors of ignorance. Individually, these priors potentially lead to large problems of bias and inefficiency, respectively; however, when combined using Bayesian model comparison methods, both forms of prior can be applied adaptively, gaining the efficiency of empirical priors and the robustness of ignorance priors. We illustrate this for the simple case of generic good and bad options, using Internet blogs to estimate the relevant priors of inference. Given this combined ignorant/informative prior, the Bayesian probability weighting function is not only robust and efficient but also matches all of the major characteristics of the distortions found in empirical research. PsycINFO Database Record (c) 2012 APA, all rights reserved.

THE CURRENT STATE OF KNOWLEDGE IN THE VALUE RELEVANCE RESEARCH FIELD

Directory of Open Access Journals (Sweden)

Carmen- Alexandra BALTARIU

2015-04-01

Full Text Available The purpose of this paper is to assess the scientific literature referring to the value relevance of reported accounting information over a twelve year period starting from 2002. The approach of the paper is a theoretical (conceptual one. In order to complete the purpose of the paper we selected as research method the longitudinal qualitative analysis. The qualitative analysis carried out presents a deductive character. Our conclusions regarding the general characteristics of the research field pertaining to the value relevance of reported accounting information are drawn based on the main results and scientific contributions identified in the research field of interest.

Effects of prior information on decoding degraded speech: an fMRI study.

Science.gov (United States)

Clos, Mareike; Langner, Robert; Meyer, Martin; Oechslin, Mathias S; Zilles, Karl; Eickhoff, Simon B

2014-01-01

Expectations and prior knowledge are thought to support the perceptual analysis of incoming sensory stimuli, as proposed by the predictive-coding framework. The current fMRI study investigated the effect of prior information on brain activity during the decoding of degraded speech stimuli. When prior information enabled the comprehension of the degraded sentences, the left middle temporal gyrus and the left angular gyrus were activated, highlighting a role of these areas in meaning extraction. In contrast, the activation of the left inferior frontal gyrus (area 44/45) appeared to reflect the search for meaningful information in degraded speech material that could not be decoded because of mismatches with the prior information. Our results show that degraded sentences evoke instantaneously different percepts and activation patterns depending on the type of prior information, in line with prediction-based accounts of perception. Copyright © 2012 Wiley Periodicals, Inc.

Assessing the Previous Economic Knowledge of Beginning Students in Germany: Implications for Teaching Economics in Basic Courses

Science.gov (United States)

Happ, Roland; Förster, Manuel; Zlatkin-Troitschanskaia, Olga; Carstensen, Vivian

2016-01-01

Study-related prior knowledge plays a decisive role in business and economics degree courses. Prior knowledge has a significant influence on knowledge acquisition in higher education, and teachers need information on it to plan their introductory courses accordingly. Very few studies have been conducted of first-year students' prior economic…

Personal Knowledge Management for Employee Commoditization

Science.gov (United States)

Schild, Susie A.

2013-01-01

Knowledge management thinking has resulted in the perception that the organization is the relevant beneficiary of knowledge. Individual approaches to and experiences with personal knowledge management are not well documented in empirical studies, which uncovered the specific problem that the situatedness of knowledge worker contemporaries within…

Knowledge and luck.

Science.gov (United States)

Turri, John; Buckwalter, Wesley; Blouw, Peter

2015-04-01

Nearly all success is due to some mix of ability and luck. But some successes we attribute to the agent's ability, whereas others we attribute to luck. To better understand the criteria distinguishing credit from luck, we conducted a series of four studies on knowledge attributions. Knowledge is an achievement that involves reaching the truth. But many factors affecting the truth are beyond our control, and reaching the truth is often partly due to luck. Which sorts of luck are compatible with knowledge? We found that knowledge attributions are highly sensitive to lucky events that change the explanation for why a belief is true. By contrast, knowledge attributions are surprisingly insensitive to lucky events that threaten, but ultimately fail to change the explanation for why a belief is true. These results shed light on our concept of knowledge, help explain apparent inconsistencies in prior work on knowledge attributions, and constitute progress toward a general understanding of the relation between success and luck.

How Case-Based Reasoning on e-Community Knowledge Can Be Improved Thanks to Knowledge Reliability

OpenAIRE

Gaillard , Emmanuelle; Lieber , Jean; Nauer , Emmanuel; Cordier , Amélie

2014-01-01

International audience; This paper shows that performing case-based reasoning (CBR) on knowledge coming from an e-community is improved by taking into account knowledge reliability. MKM (meta-knowledge model) is a model for managing reliability of the knowledge units that are used in the reasoning process. For this, MKM uses meta-knowledge such as belief, trust and reputation, about knowledge units and users. MKM is used both to select relevant knowledge to conduct the reasoning process, and ...

Random template placement and prior information

International Nuclear Information System (INIS)

Roever, Christian

2010-01-01

In signal detection problems, one is usually faced with the task of searching a parameter space for peaks in the likelihood function which indicate the presence of a signal. Random searches have proven to be very efficient as well as easy to implement, compared e.g. to searches along regular grids in parameter space. Knowledge of the parameterised shape of the signal searched for adds structure to the parameter space, i.e., there are usually regions requiring to be densely searched while in other regions a coarser search is sufficient. On the other hand, prior information identifies the regions in which a search will actually be promising or may likely be in vain. Defining specific figures of merit allows one to combine both template metric and prior distribution and devise optimal sampling schemes over the parameter space. We show an example related to the gravitational wave signal from a binary inspiral event. Here the template metric and prior information are particularly contradictory, since signals from low-mass systems tolerate the least mismatch in parameter space while high-mass systems are far more likely, as they imply a greater signal-to-noise ratio (SNR) and hence are detectable to greater distances. The derived sampling strategy is implemented in a Markov chain Monte Carlo (MCMC) algorithm where it improves convergence.

Indicators and measurement tools for health system integration: a knowledge synthesis protocol.

Science.gov (United States)

Oelke, Nelly D; Suter, Esther; da Silva Lima, Maria Alice Dias; Van Vliet-Brown, Cheryl

2015-07-29

Health system integration is a key component of health system reform with the goal of improving outcomes for patients, providers, and the health system. Although health systems continue to strive for better integration, current delivery of health services continues to be fragmented. A key gap in the literature is the lack of information on what successful integration looks like and how to measure achievement towards an integrated system. This multi-site study protocol builds on a prior knowledge synthesis completed by two of the primary investigators which identified 10 key principles that collectively support health system integration. The aim is to answer two research questions: What are appropriate indicators for each of the 10 key integration principles developed in our previous knowledge synthesis and what measurement tools are used to measure these indicators? To enhance generalizability of the findings, a partnership between Canada and Brazil was created as health system integration is a priority in both countries and they share similar contexts. This knowledge synthesis will follow an iterative scoping review process with emerging information from knowledge-user engagement leading to the refinement of research questions and study selection. This paper describes the methods for each phase of the study. Research questions were developed with stakeholder input. Indicator identification and prioritization will utilize a modified Delphi method and patient/user focus groups. Based on priority indicators, a search of the literature will be completed and studies screened for inclusion. Quality appraisal of relevant studies will be completed prior to data extraction. Results will be used to develop recommendations and key messages to be presented through integrated and end-of-grant knowledge translation strategies with researchers and knowledge-users from the three jurisdictions. This project will directly benefit policy and decision-makers by providing an easy

Digital Accessible Knowledge and well-inventoried sites for birds in Mexico: baseline sites for measuring faunistic change.

Science.gov (United States)

Peterson, A Townsend; Navarro-Sigüenza, Adolfo G; Martínez-Meyer, Enrique

2016-01-01

Faunal change is a basic and fundamental element in ecology, biogeography, and conservation biology, yet vanishingly few detailed studies have documented such changes rigorously over decadal time scales. This study responds to that gap in knowledge, providing a detailed analysis of Digital Accessible Knowledge of the birds of Mexico, designed to marshal DAK to identify sites that were sampled and inventoried rigorously prior to the beginning of major global climate change (1980). We accumulated DAK records for Mexican birds from all relevant online biodiversity data portals. After extensive cleaning steps, we calculated completeness indices for each 0.05° pixel across the country; we also detected 'hotspots' of sampling, and calculated completeness indices for these broader areas as well. Sites were designated as well-sampled if they had completeness indices above 80% and >200 associated DAK records. We identified 100 individual pixels and 20 broader 'hotspots' of sampling that were demonstrably well-inventoried prior to 1980. These sites are catalogued and documented to promote and enable resurvey efforts that can document events of avifaunal change (and non-change) across the country on decadal time scales. Development of repeated surveys for many sites across Mexico, and particularly for sites for which historical surveys document their avifaunas prior to major climate change processes, would pay rich rewards in information about distributional dynamics of Mexican birds.

PIRPLE: a penalized-likelihood framework for incorporation of prior images in CT reconstruction

International Nuclear Information System (INIS)

Stayman, J Webster; Dang, Hao; Ding, Yifu; Siewerdsen, Jeffrey H

2013-01-01

Over the course of diagnosis and treatment, it is common for a number of imaging studies to be acquired. Such imaging sequences can provide substantial patient-specific prior knowledge about the anatomy that can be incorporated into a prior-image-based tomographic reconstruction for improved image quality and better dose utilization. We present a general methodology using a model-based reconstruction approach including formulations of the measurement noise that also integrates prior images. This penalized-likelihood technique adopts a sparsity enforcing penalty that incorporates prior information yet allows for change between the current reconstruction and the prior image. Moreover, since prior images are generally not registered with the current image volume, we present a modified model-based approach that seeks a joint registration of the prior image in addition to the reconstruction of projection data. We demonstrate that the combined prior-image- and model-based technique outperforms methods that ignore the prior data or lack a noise model. Moreover, we demonstrate the importance of registration for prior-image-based reconstruction methods and show that the prior-image-registered penalized-likelihood estimation (PIRPLE) approach can maintain a high level of image quality in the presence of noisy and undersampled projection data. (paper)

SU-D-17A-01: Geometric and Dosimetric Evaluation of a 4D-CBCT Reconstruction Technique Using Prior Knowledge

International Nuclear Information System (INIS)

Zhang, Y; Yin, F; Ren, L

2014-01-01

Purpose: To evaluate a 4D-CBCT reconstruction technique both geometrically and dosimetrically Methods: A prior-knowledge guided 4DC-BCT reconstruction method named the motion-modeling and free-form deformation (MM-FD) has been developed. MM-FD views each phase of the 4D-CBCT as a deformation of a prior CT volume. The deformation field is first solved by principal component analysis based motion modeling, followed by constrained free-form deformation.The 4D digital extended-cardiac- torso (XCAT) phantom was used for comprehensive evaluation. Based on a simulated 4D planning CT of a lung patient, 8 different scenarios were simulated to cover the typical on-board anatomical and respiratory variations: (1) synchronized and (2) unsynchronized motion amplitude change for body and tumor; tumor (3) shrinkage and (4) expansion; tumor average position shift in (5) superior-inferior (SI) direction, (6) anterior-posterior (AP) direction and (7) SI, AP and lateral directions altogether; and (8) tumor phase shift relative to the respiratory cycle of the body. Orthogonal-view 30° projections were simulated based on the eight patient scenarios to reconstruct on-board 4D-CBCTs. For geometric evaluation, the volume-percentage-difference (VPD) was calculated to assess the volumetric differences between the reconstructed and the ground-truth tumor.For dosimetric evaluation, a gated treatment plan was designed for the prior 4D-CT. The dose distributions were calculated on the reconstructed 4D-CBCTs and the ground-truth images for comparison. The MM-FD technique was compared with MM-only and FD-only techniques. Results: The average (±s.d.) VPD values of reconstructed tumors for MM-only, FDonly and MM-FD methods were 59.16%(± 26.66%), 75.98%(± 27.21%) and 5.22%(± 2.12%), respectively. The average min/max/mean dose (normalized to prescription) of the reconstructed tumors by MM-only, FD-only, MM-FD methods and ground-truth tumors were 78.0%/122.2%/108.2%, 13%/117.7%/86%, 58

Self-Monitoring and Knowledge-Building in Learning by Teaching

Science.gov (United States)

Roscoe, Rod D.

2014-01-01

Prior research has established that learning by teaching depends upon peer tutors' engagement in knowledge-building, in which tutors integrate their knowledge and generate new knowledge through reasoning. However, many tutors adopt a "knowledge-telling bias" defined by shallow summarizing of source materials and didactic lectures.…

Knowledge Transfer in Family Business Successions

DEFF Research Database (Denmark)

Boyd, Britta; Royer, Susanne; Pei, Rong

Knowledge often is the fundament for strategic competitive advantage. Thus, it is highly relevant to understand better how knowledge is transferred from one generation to the next in family businesses. Building on the contingency model of family business succession (Royer, Simons, Boyd & Rafferty......, 2008) knowledge transfer in different cultures is investigated in this paper. From a resource-oriented perspective two family businesses with a similar industry background from China and Europe are compared regarding education processes and knowledge transfer in the context of family firm succession...... taking into account the respective transaction atmosphere. For the European family business from the Danish-German border region twelve successions were investigated in a former study: Access to experiential knowledge was found to be a driver of competitive advantage with a shift towards the relevance...

Prior methylphenidate self-administration alters the subsequent reinforcing effects of methamphetamine in rats.

Science.gov (United States)

Baladi, Michelle G; Nielsen, Shannon M; Umpierre, Anthony; Hanson, Glen R; Fleckenstein, Annette E

2014-12-01

Methylphenidate (MPD) is clinically effective in treating the symptoms of attention-deficit hyperactivity disorder; however, its relatively widespread availability has raised public health concerns on nonmedical use of MPD among certain adult populations. Most preclinical studies investigate whether presumed therapeutically relevant doses of MPD alter sensitivity to the reinforcing effects of other drugs, but it remains unclear whether doses of MPD likely exceeding therapeutic relevance impact the subsequent reinforcing effects of drugs. To begin to address this question, the effect of prior MPD self-administration (0.56 mg/kg/infusion) on the subsequent reinforcing effects of methamphetamine (METH, 0.032 or 0.1 mg/kg/infusion) was investigated in male Sprague-Dawley rats. For comparison, it was also determined whether prior experimenter-administered MPD, injected daily at a presumed therapeutically relevant dose (2 mg/kg), altered the subsequent reinforcing effects of METH. Results indicated that, under the current conditions, only a history of MPD self-administration increased sensitivity to the subsequent reinforcing effects of METH. Furthermore, MPD did not impact food-maintained responding, suggesting that the effect of MPD might be specific to drug reinforcers. These data suggest that short-term, nonmedical use of MPD might alter the positive reinforcing effects of METH in a manner relevant to vulnerability to drug use in humans.

Determinants of Judgments of Explanatory Power: Credibility, Generality, and Statistical Relevance

Science.gov (United States)

Colombo, Matteo; Bucher, Leandra; Sprenger, Jan

2017-01-01

Explanation is a central concept in human psychology. Drawing upon philosophical theories of explanation, psychologists have recently begun to examine the relationship between explanation, probability and causality. Our study advances this growing literature at the intersection of psychology and philosophy of science by systematically investigating how judgments of explanatory power are affected by (i) the prior credibility of an explanatory hypothesis, (ii) the causal framing of the hypothesis, (iii) the perceived generalizability of the explanation, and (iv) the relation of statistical relevance between hypothesis and evidence. Collectively, the results of our five experiments support the hypothesis that the prior credibility of a causal explanation plays a central role in explanatory reasoning: first, because of the presence of strong main effects on judgments of explanatory power, and second, because of the gate-keeping role it has for other factors. Highly credible explanations are not susceptible to causal framing effects, but they are sensitive to the effects of normatively relevant factors: the generalizability of an explanation, and its statistical relevance for the evidence. These results advance current literature in the philosophy and psychology of explanation in three ways. First, they yield a more nuanced understanding of the determinants of judgments of explanatory power, and the interaction between these factors. Second, they show the close relationship between prior beliefs and explanatory power. Third, they elucidate the nature of abductive reasoning. PMID:28928679

A model for reusing service knowledge based on an empirical case

DEFF Research Database (Denmark)

Ahmed-Kristensen, Saeema; Vianello, Giovanna

2015-01-01

between the service and design phases. Interviews with engineering designers and service engineers were conducted. Knowledge arising from servicing the drilling equipment that was identified as relevant for service engineers was compared to that relevant for engineering designers. Furthermore......, the mechanisms involved in the transfer of knowledge between service and design were investigated. Knowledge about changes, issues and improvements generated during service was found to be relevant to both groups; however, engineering designers were interested in knowledge of equipment at a component level...

febrile seizures, Tripoli, Libya, knowledge, attitude

African Journals Online (AJOL)

kim

the knowledge, attitude and practice of mothers regarding febrile seizures in Tripoli, Libya. ... aim of the audit is to assess the attitude and knowledge of parents of children with .... The following exclusion criteria were used: child who has fever due CNS ... department after giving prior first aid-a similar results was reported.

Persistency of priors-induced bias in decision behavior and the fMRI signal

Directory of Open Access Journals (Sweden)

Kathleen eHansen

2011-03-01

Full Text Available It is well known that people take advantage of prior knowledge to bias decisions. To investigate this phenomenon behaviorally and in the brain, we acquired fMRI data while human subjects viewed ambiguous abstract shapes and decided whether a shape was of Category A (smoother or B (bumpier. The decision was made in the context of one of two prior knowledge cues, 80/20 and 50/50. The 80/20 cue indicated that upcoming shapes had an 80% probability of being of one category, e.g. B, and a 20% probability of being of the other. The 50/50 cue indicated that upcoming shapes had an equal probability of being of either category. The ideal observer would bias decisions in favor of the indicated alternative at 80/20 and show zero bias at 50/50. We found that subjects did bias their decisions in the predicted direction at 80/20 but did not show zero bias at 50/50. Instead, at 50/50 the subjects retained biases of the same sign as their 80/20 biases, though of diminished magnitude. The signature of a persistent though diminished bias at 50/50 was also evident in fMRI data from frontal and parietal regions previously implicated in decision-making. As a control, we acquired fMRI data from naïve subjects who experienced only the 50/50 stimulus distributions during both the prescan training and the fMRI experiment. The behavioral and fMRI data from the naïve subjects reflected decision biases closer to those of the ideal observer than those of the prior knowledge subjects at 50/50. The results indicate that practice making decisions in the context of non-equal prior probabilities biases decisions made later when prior probabilities are equal. This finding may be related to the anchoring and adjustment strategy described in the psychology, economics and marketing literatures, in which subjects adjust a first approximation response – the anchor – based on additional information, typically applying insufficient adjustment relative to the ideal observer.

Prior-knowledge Fitting of Accelerated Five-dimensional Echo Planar J-resolved Spectroscopic Imaging: Effect of Nonlinear Reconstruction on Quantitation.

Science.gov (United States)

Iqbal, Zohaib; Wilson, Neil E; Thomas, M Albert

2017-07-24

1 H Magnetic Resonance Spectroscopic imaging (SI) is a powerful tool capable of investigating metabolism in vivo from mul- tiple regions. However, SI techniques are time consuming, and are therefore difficult to implement clinically. By applying non-uniform sampling (NUS) and compressed sensing (CS) reconstruction, it is possible to accelerate these scans while re- taining key spectral information. One recently developed method that utilizes this type of acceleration is the five-dimensional echo planar J-resolved spectroscopic imaging (5D EP-JRESI) sequence, which is capable of obtaining two-dimensional (2D) spectra from three spatial dimensions. The prior-knowledge fitting (ProFit) algorithm is typically used to quantify 2D spectra in vivo, however the effects of NUS and CS reconstruction on the quantitation results are unknown. This study utilized a simulated brain phantom to investigate the errors introduced through the acceleration methods. Errors (normalized root mean square error >15%) were found between metabolite concentrations after twelve-fold acceleration for several low concentra- tion (OGM) human brain matter were quantified in vivo using the 5D EP-JRESI sequence with eight-fold acceleration.

A linear programming computational framework integrates phosphor-proteomics and prior knowledge to predict drug efficacy.

Science.gov (United States)

Ji, Zhiwei; Wang, Bing; Yan, Ke; Dong, Ligang; Meng, Guanmin; Shi, Lei

2017-12-21

In recent years, the integration of 'omics' technologies, high performance computation, and mathematical modeling of biological processes marks that the systems biology has started to fundamentally impact the way of approaching drug discovery. The LINCS public data warehouse provides detailed information about cell responses with various genetic and environmental stressors. It can be greatly helpful in developing new drugs and therapeutics, as well as improving the situations of lacking effective drugs, drug resistance and relapse in cancer therapies, etc. In this study, we developed a Ternary status based Integer Linear Programming (TILP) method to infer cell-specific signaling pathway network and predict compounds' treatment efficacy. The novelty of our study is that phosphor-proteomic data and prior knowledge are combined for modeling and optimizing the signaling network. To test the power of our approach, a generic pathway network was constructed for a human breast cancer cell line MCF7; and the TILP model was used to infer MCF7-specific pathways with a set of phosphor-proteomic data collected from ten representative small molecule chemical compounds (most of them were studied in breast cancer treatment). Cross-validation indicated that the MCF7-specific pathway network inferred by TILP were reliable predicting a compound's efficacy. Finally, we applied TILP to re-optimize the inferred cell-specific pathways and predict the outcomes of five small compounds (carmustine, doxorubicin, GW-8510, daunorubicin, and verapamil), which were rarely used in clinic for breast cancer. In the simulation, the proposed approach facilitates us to identify a compound's treatment efficacy qualitatively and quantitatively, and the cross validation analysis indicated good accuracy in predicting effects of five compounds. In summary, the TILP model is useful for discovering new drugs for clinic use, and also elucidating the potential mechanisms of a compound to targets.

Analysis of Extracting Prior BRDF from MODIS BRDF Data

OpenAIRE

Hu Zhang; Ziti Jiao; Yadong Dong; Peng Du; Yang Li; Yi Lian; Tiejun Cui

2016-01-01

Many previous studies have attempted to extract prior reflectance anisotropy knowledge from the historical MODIS Bidirectional Reflectance Distribution Function (BRDF) product based on land cover or Normalized Difference Vegetation Index (NDVI) data. In this study, the feasibility of the method is discussed based on MODIS data and archetypal BRDFs. The BRDF is simplified into six archetypal BRDFs that represent different reflectance anisotropies. Five-year time series of MODIS BRDF data over ...

Nonlinear Knowledge in Kernel-Based Multiple Criteria Programming Classifier

Science.gov (United States)

Zhang, Dongling; Tian, Yingjie; Shi, Yong

Kernel-based Multiple Criteria Linear Programming (KMCLP) model is used as classification methods, which can learn from training examples. Whereas, in traditional machine learning area, data sets are classified only by prior knowledge. Some works combine the above two classification principle to overcome the defaults of each approach. In this paper, we propose a model to incorporate the nonlinear knowledge into KMCLP in order to solve the problem when input consists of not only training example, but also nonlinear prior knowledge. In dealing with real world case breast cancer diagnosis, the model shows its better performance than the model solely based on training data.

Knowledge Model: Project Knowledge Management

DEFF Research Database (Denmark)

Durao, Frederico; Dolog, Peter; Grolin, Daniel

2009-01-01

The Knowledge model for project management serves several goals:Introducing relevant concepts of project management area for software development (Section 1). Reviewing and understanding the real case requirements from the industrial perspective. (Section 2). Giving some preliminary suggestions...... for usage in KIWI system (Sections 3). This document is intended for technological partners to understand how for example the software development concepts can be applied to a semantic wiki framework....

University Students' Knowledge Structures and Informal Reasoning on the Use of Genetically Modified Foods: Multidimensional Analyses

Science.gov (United States)

Wu, Ying-Tien

2013-10-01

This study aims to provide insights into the role of learners' knowledge structures about a socio-scientific issue (SSI) in their informal reasoning on the issue. A total of 42 non-science major university students' knowledge structures and informal reasoning were assessed with multidimensional analyses. With both qualitative and quantitative analyses, this study revealed that those students with more extended and better-organized knowledge structures, as well as those who more frequently used higher-order information processing modes, were more oriented towards achieving a higher-level informal reasoning quality. The regression analyses further showed that the "richness" of the students' knowledge structures explained 25 % of the variation in their rebuttal construction, an important indicator of reasoning quality, indicating the significance of the role of students' sophisticated knowledge structure in SSI reasoning. Besides, this study also provides some initial evidence for the significant role of the "core" concept within one's knowledge structure in one's SSI reasoning. The findings in this study suggest that, in SSI-based instruction, science instructors should try to identify students' core concepts within their prior knowledge regarding the SSI, and then they should try to guide students to construct and structure relevant concepts or ideas regarding the SSI based on their core concepts. Thus, students could obtain extended and well-organized knowledge structures, which would then help them achieve better learning transfer in dealing with SSIs.

Understanding Intra-Class Knowledge Inside CNN

OpenAIRE

Wei, Donglai; Zhou, Bolei; Torrabla, Antonio; Freeman, William

2015-01-01

Convolutional Neural Network (CNN) has been successful in image recognition tasks, and recent works shed lights on how CNN separates different classes with the learned inter-class knowledge through visualization. In this work, we instead visualize the intra-class knowledge inside CNN to better understand how an object class is represented in the fully-connected layers. To invert the intra-class knowledge into more interpretable images, we propose a non-parametric patch prior upon previous CNN...

Prospective regularization design in prior-image-based reconstruction

International Nuclear Information System (INIS)

Dang, Hao; Siewerdsen, Jeffrey H; Stayman, J Webster

2015-01-01

Prior-image-based reconstruction (PIBR) methods leveraging patient-specific anatomical information from previous imaging studies and/or sequences have demonstrated dramatic improvements in dose utilization and image quality for low-fidelity data. However, a proper balance of information from the prior images and information from the measurements is required (e.g. through careful tuning of regularization parameters). Inappropriate selection of reconstruction parameters can lead to detrimental effects including false structures and failure to improve image quality. Traditional methods based on heuristics are subject to error and sub-optimal solutions, while exhaustive searches require a large number of computationally intensive image reconstructions. In this work, we propose a novel method that prospectively estimates the optimal amount of prior image information for accurate admission of specific anatomical changes in PIBR without performing full image reconstructions. This method leverages an analytical approximation to the implicitly defined PIBR estimator, and introduces a predictive performance metric leveraging this analytical form and knowledge of a particular presumed anatomical change whose accurate reconstruction is sought. Additionally, since model-based PIBR approaches tend to be space-variant, a spatially varying prior image strength map is proposed to optimally admit changes everywhere in the image (eliminating the need to know change locations a priori). Studies were conducted in both an ellipse phantom and a realistic thorax phantom emulating a lung nodule surveillance scenario. The proposed method demonstrated accurate estimation of the optimal prior image strength while achieving a substantial computational speedup (about a factor of 20) compared to traditional exhaustive search. Moreover, the use of the proposed prior strength map in PIBR demonstrated accurate reconstruction of anatomical changes without foreknowledge of change locations in

Strategic knowledge management: a methodology for structuring and analysing knowledge resources

International Nuclear Information System (INIS)

Ricciardi, Rita Izabel

2009-01-01

This work presents a methodology to organize, to classify and to assess the knowledge resources of an organization. This methodology presents an innovative integration of the following elements: (a) a systemic vision of the organization; (b) a representation maps of organization strategy; (c) the identification of relevant knowledge through process analysis; (d) the reconfiguration and representation of the identified knowledge in maps; (e) a combination of critical analysis (importance and vulnerability) and of strategic analysis to assess knowledge. Such methodology was applied to the Radiopharmaceutical Center of Nuclear and Energetic Research Institute resulting in a very rich vision and understanding of the knowledge domains that are crucial to the CR. This kind of analysis has allowed a sharp perception of the knowledge problems of the Center and has also made visible the needed connections between Strategic Management and Knowledge Management. (author)

[Essential procedure and key methods for survey of traditional knowledge related to Chinese materia medica resources].

Science.gov (United States)

Cheng, Gong; Huang, Lu-qi; Xue, Da-yuan; Zhang, Xiao-bo

2014-12-01

The survey of traditional knowledge related to Chinese materia medica resources is the important component and one of the innovative aspects of the fourth national survey of the Chinese materia medica resources. China has rich traditional knowledge of traditional Chinese medicine (TCM) and the comprehensive investigation of TCM traditional knowledge aims to promote conservation and sustainable use of Chinese materia medica resources. Building upon the field work of pilot investigations, this paper introduces the essential procedures and key methods for conducting the survey of traditional knowledge related to Chinese materia medica resources. The essential procedures are as follows. First is the preparation phrase. It is important to review all relevant literature and provide training to the survey teams so that they have clear understanding of the concept of traditional knowledge and master key survey methods. Second is the field investigation phrase. When conducting field investigations, survey teams should identify the traditional knowledge holders by using the 'snowball method', record the traditional knowledge after obtaining prior informed concerned from the traditional knowledge holders. Researchers should fill out the survey forms provided by the Technical Specification of the Fourth National Survey of Chinese Materia Medica Resources. Researchers should pay particular attention to the scope of traditional knowledge and the method of inheriting the knowledge, which are the key information for traditional knowledge holders and potential users to reach mutual agreed terms to achieve benefit sharing. Third is the data compilation and analysis phrase. Researchers should try to compile and edit the TCM traditional knowledge in accordance with intellectual property rights requirements so that the information collected through the national survey can serve as the basic data for the TCM traditional knowledge database. The key methods of the survey include regional

Digital Accessible Knowledge and well-inventoried sites for birds in Mexico: baseline sites for measuring faunistic change

Directory of Open Access Journals (Sweden)

A. Townsend Peterson

2016-09-01

Full Text Available Background Faunal change is a basic and fundamental element in ecology, biogeography, and conservation biology, yet vanishingly few detailed studies have documented such changes rigorously over decadal time scales. This study responds to that gap in knowledge, providing a detailed analysis of Digital Accessible Knowledge of the birds of Mexico, designed to marshal DAK to identify sites that were sampled and inventoried rigorously prior to the beginning of major global climate change (1980. Methods We accumulated DAK records for Mexican birds from all relevant online biodiversity data portals. After extensive cleaning steps, we calculated completeness indices for each 0.05° pixel across the country; we also detected ‘hotspots’ of sampling, and calculated completeness indices for these broader areas as well. Sites were designated as well-sampled if they had completeness indices above 80% and >200 associated DAK records. Results We identified 100 individual pixels and 20 broader ‘hotspots’ of sampling that were demonstrably well-inventoried prior to 1980. These sites are catalogued and documented to promote and enable resurvey efforts that can document events of avifaunal change (and non-change across the country on decadal time scales. Conclusions Development of repeated surveys for many sites across Mexico, and particularly for sites for which historical surveys document their avifaunas prior to major climate change processes, would pay rich rewards in information about distributional dynamics of Mexican birds.

External Prior Guided Internal Prior Learning for Real-World Noisy Image Denoising

Science.gov (United States)

Xu, Jun; Zhang, Lei; Zhang, David

2018-06-01

Most of existing image denoising methods learn image priors from either external data or the noisy image itself to remove noise. However, priors learned from external data may not be adaptive to the image to be denoised, while priors learned from the given noisy image may not be accurate due to the interference of corrupted noise. Meanwhile, the noise in real-world noisy images is very complex, which is hard to be described by simple distributions such as Gaussian distribution, making real noisy image denoising a very challenging problem. We propose to exploit the information in both external data and the given noisy image, and develop an external prior guided internal prior learning method for real noisy image denoising. We first learn external priors from an independent set of clean natural images. With the aid of learned external priors, we then learn internal priors from the given noisy image to refine the prior model. The external and internal priors are formulated as a set of orthogonal dictionaries to efficiently reconstruct the desired image. Extensive experiments are performed on several real noisy image datasets. The proposed method demonstrates highly competitive denoising performance, outperforming state-of-the-art denoising methods including those designed for real noisy images.

The Quebec rural emergency department project: a cross-sectional study of a potential two-pronged strategy in the knowledge transfer process.

Directory of Open Access Journals (Sweden)

Mélodie-Anne Drouin

Full Text Available Health services research generates useful knowledge. Promotion of implementation of this knowledge in medical practice is essential. Prior to initiation of a major study on rural emergency departments (EDs, we deployed two knowledge transfer strategies designed to generate interest and engagement from potential knowledge users. The objective of this paper was to review: 1 a combined project launch and media press release strategy, and 2 a pre-study survey designed to survey potential knowledge users' opinions on the proposed study variables.We evaluated the impact of the project launch (presentation at two conferences hosted by key stakeholders and media press release via a survey of participants/stakeholders and by calculating the number of media interview requests and reports generated. We used a pre-study survey to collect potential key stakeholder' opinions on the study variables.Twenty-one of Quebec's 26 rural EDs participated in the pre-study survey (81% participation rate. The press release about the study generated 51 press articles and 20 media request for interviews, and contributed to public awareness of a major rural research initiative. In the pre-study survey, thirteen participants (46% mentioned prior knowledge of the research project. Results from the pre-study survey revealed that all of the potential study variables were considered to be relevant for inclusion in the research project. Respondents also proposed additional variables of interest, including factors promoting retention of human resources.The present study demonstrated the potential utility of a two-pronged knowledge transfer strategy, including a combined formal launch and press release, and a pre-study survey designed to ensure that the included variables were of interest to participants and stakeholders.

Comfort and experience with online learning: trends over nine years and associations with knowledge.

Science.gov (United States)

Cook, David A; Thompson, Warren G

2014-07-01

Some evidence suggests that attitude toward computer-based instruction is an important determinant of success in online learning. We sought to determine how comfort using computers and perceptions of prior online learning experiences have changed over the past decade, and how these associate with learning outcomes. Each year from 2003-2011 we conducted a prospective trial of online learning. As part of each year's study, we asked medicine residents about their comfort using computers and if their previous experiences with online learning were favorable. We assessed knowledge using a multiple-choice test. We used regression to analyze associations and changes over time. 371 internal medicine and family medicine residents participated. Neither comfort with computers nor perceptions of prior online learning experiences showed a significant change across years (p > 0.61), with mean comfort rating 3.96 (maximum 5 = very comfortable) and mean experience rating 4.42 (maximum 6 = strongly agree [favorable]). Comfort showed no significant association with knowledge scores (p = 0.39) but perceptions of prior experiences did, with a 1.56% rise in knowledge score for a 1-point rise in experience score (p = 0.02). Correlations among comfort, perceptions of prior experiences, and number of prior experiences were all small and not statistically significant. Comfort with computers and perceptions of prior experience with online learning remained stable over nine years. Prior good experiences (but not comfort with computers) demonstrated a modest association with knowledge outcomes, suggesting that prior course satisfaction may influence subsequent learning.

Factory-discharged pharmaceuticals could be a relevant source of aquatic environment contamination: review of evidence and need for knowledge.

Science.gov (United States)

Cardoso, Olivier; Porcher, Jean-Marc; Sanchez, Wilfried

2014-11-01

Human and veterinary active pharmaceutical ingredients (APIs) are involved in contamination of surface water, ground water, effluents, sediments and biota. Effluents of waste water treatment plants and hospitals are considered as major sources of such contamination. However, recent evidences reveal high concentrations of a large number of APIs in effluents from pharmaceutical factories and in receiving aquatic ecosystems. Moreover, laboratory exposures to these effluents and field experiments reveal various physiological disturbances in exposed aquatic organisms. Also, it seems to be relevant to increase knowledge on this route of contamination but also to develop specific approaches for further environmental monitoring campaigns. The present study summarizes available data related to the impact of pharmaceutical factory discharges on aquatic ecosystem contaminations and presents associated challenges for scientists and environmental managers. Copyright © 2014 Elsevier Ltd. All rights reserved.

Effectiveness of an online knowledge training and assessment program for stop smoking practitioners.

Science.gov (United States)

Brose, Leonie S; West, Robert; Michie, Susan; Kenyon, Jennifer A M; McEwen, Andy

2012-07-01

In English National Health Service (NHS) stop smoking services, stop smoking practitioners (SSPs) provide behavioral support and medication to support smokers wanting to quit. This study aimed to evaluate an evidence-based national online knowledge training program for SSPs developed by the NHS Centre for Smoking Cessation and Training (NCSCT). Knowledge required to deliver effective stop smoking interventions was assessed using 25 multiple-choice questions drawn randomly from a common larger pool at baseline and after use of the training program in 778 consecutive users. Change in knowledge and association of this change with time spent on the training were assessed. Baseline and change in knowledge of SSPs with different amounts of experience, prior training, and time dedicated to smoking cessation were compared. Knowledge improved from 64.4% correct to 77.7% (p < .001). Time spent on the training predicted improvement. Pretraining knowledge scores differed with experience, prior training, and time practicing. Training improved even the highest performing SSPs and minimized differences between groups. Knowledge required to deliver effective stop smoking intervention is improved efficiently by using the NCSCT online training program for English smoking cessation practitioners. SSPs with all levels of prior knowledge benefit.

Preparation for College General Chemistry: More than Just a Matter of Content Knowledge Acquisition

Science.gov (United States)

Cracolice, Mark S.; Busby, Brittany D.

2015-01-01

This study investigates the potential of five factors that may be predictive of success in college general chemistry courses: prior knowledge of common alternate conceptions, intelligence, scientific reasoning ability, proportional reasoning ability, and attitude toward chemistry. We found that both prior knowledge and scientific reasoning ability…

Staff management, training and knowledge management

International Nuclear Information System (INIS)

Makino, Hitoshi; Umeki, Hiroyuki; Capouet, M.; Depaus, C.; Berckmans, A.

2014-01-01

Staff management/training and knowledge management are organisational issues that are particularly sensitive in long-term projects stretching over decades like the development and operation of a geological repository. The IAEA has already issued several publications that deal with this issue (IAEA, 2006, 2008). Organisational aspects were also discussed in the framework of a topical session organised by the Integration Group for the Safety Case (IGSC) at its annual meeting in 2009 and were regarded as a topic deserving future attention (NEA, 2009a). More recently, the Forum on Stakeholder Confidence (FSC) identified organisational, mission and behavioural features as attributes of confidence and trust (NEA, 2013). They also identified that aspects such as structural learning capacity, high levels of skill and competence in relevant areas, specific management plan, good operating records, transparency and consistency are associated with confidence building in a safety case. These aspects are considerably related to staff training/management and knowledge management. The IGSC has initiated a proposal of study dedicated to staff training/management and knowledge management with the objective to highlight how these recent concerns and the requirements issued by the IAEA are concretely implemented in the national programmes. The goal of this study is to acknowledge the differences of views and needs for staff management and knowledge management at different stages of individual programmes and between implementer and regulator. As a starting point to this study, the JAEA and ONDRAF/NIRAS prepared a draft questionnaire in order to succinctly capture processes and tools that the national organisations have implemented to meet the requirements and address the issues set out in the field of staff and knowledge management. For the purpose of this study, a questionnaire is now under development, which will be presented on the occasion of this symposium with guidance based on a

Assessment of Knowledge Transfer in the Context of Biomechanics

Science.gov (United States)

Hutchison, Randolph E.

2011-01-01

The dynamic act of knowledge transfer, or the connection of a student's prior knowledge to features of a new problem, could be considered one of the primary goals of education. Yet studies highlight more instances of failure than success. This dissertation focuses on how knowledge transfer takes place during individual problem solving, in…

Algorithms for biomagnetic source imaging with prior anatomical and physiological information

Energy Technology Data Exchange (ETDEWEB)

Hughett, Paul William [Univ. of California, Berkeley, CA (United States). Dept. of Electrical Engineering and Computer Sciences

1995-12-01

This dissertation derives a new method for estimating current source amplitudes in the brain and heart from external magnetic field measurements and prior knowledge about the probable source positions and amplitudes. The minimum mean square error estimator for the linear inverse problem with statistical prior information was derived and is called the optimal constrained linear inverse method (OCLIM). OCLIM includes as special cases the Shim-Cho weighted pseudoinverse and Wiener estimators but allows more general priors and thus reduces the reconstruction error. Efficient algorithms were developed to compute the OCLIM estimate for instantaneous or time series data. The method was tested in a simulated neuromagnetic imaging problem with five simultaneously active sources on a grid of 387 possible source locations; all five sources were resolved, even though the true sources were not exactly at the modeled source positions and the true source statistics differed from the assumed statistics.

Effects of learning content in context on knowledge acquisition and recall: a pretest-posttest control group design.

Science.gov (United States)

Bergman, Esther M; de Bruin, Anique B H; Vorstenbosch, Marc A T M; Kooloos, Jan G M; Puts, Ghita C W M; Leppink, Jimmie; Scherpbier, Albert J J A; van der Vleuten, Cees P M

2015-08-15

It is generally assumed that learning in context increases performance. This study investigates the relationship between the characteristics of a paper-patient context (relevance and familiarity), the mechanisms through which the cognitive dimension of context could improve learning (activation of prior knowledge, elaboration and increasing retrieval cues), and test performance. A total of 145 medical students completed a pretest of 40 questions, of which half were with a patient vignette. One week later, they studied musculoskeletal anatomy in the dissection room without a paper-patient context (control group) or with (ir)relevant-(un)familiar context (experimental groups), and completed a cognitive load scale. Following a short delay, the students completed a posttest. Surprisingly, our results show that students who studied in context did not perform better than students who studied without context. This finding may be explained by an interaction of the participants' expertise level, the nature of anatomical knowledge and students' approaches to learning. A relevant-familiar context only reduced the negative effect of learning the content in context. Our results suggest discouraging the introduction of an uncommon disease to illustrate a basic science concept. Higher self-perceived learning scores predict higher performance. Interestingly, students performed significantly better on the questions with context in both tests, possibly due to a 'framing effect'. Since studies focusing on the physical and affective dimensions of context have also failed to find a positive influence of learning in a clinically relevant context, further research seems necessary to refine our theories around the role of context in learning.

Implementing Knowledge Translation Strategies in Funded Research in Canada and Australia: A Case Study

Directory of Open Access Journals (Sweden)

Gabriel Moore

2016-09-01

Full Text Available There is an emerging literature describing the use of knowledge translation strategies to increase the relevance and usability of research, yet there are few real-world examples of how this works in practice. This case study reports on the steps taken to embed knowledge translation strategies in the Movember Foundation's Men’s Mental Health Grant Rounds in 2013–14, which were implemented in Australia and Canada, and on the support provided to the applicants in developing their knowledge translation plans. It identifies the challenges faced by the Men’s Mental Health Program Team and how these were resolved. The strategies explored include articulating knowledge translation requirements, ensuring a common understanding of knowledge translation, assessing knowledge translation plans, methods of engaging end users, and building capacity with applicants. An iterative approach to facilitating knowledge translation planning within project development was rolled out in Australia just prior to Canada so that lessons learned were immediately available to refine the second roll out. Implementation included the use of external knowledge translation expertise, the development of knowledge translation plans, and the need for internal infrastructure to support monitoring and reporting. Differences in the Australian and Canadian contexts may point to differential exposure to the concepts and practices of knowledge translation. This case study details an example of designing and implementing an integrated knowledge translation strategy that moves beyond traditional dissemination models. Lessons learned point to the importance of a long lead-up time, the use of knowledge translation expertise for capacity building, the need for flexible implementation, and the need for efficiencies in supporting applicants.

Practical knowledge

DEFF Research Database (Denmark)

Christensen, Jens

2006-01-01

The chapter aims to develop conceptions of practical knowledge, relevant to skills and Bildung in engineering science. The starting point is Francis Bacon’s ideas of new science, developed 400 years ago. It is argued that Bacon’s vision has become dogmatized during the course of history, whereas....... Furthermore, and still with reference to truth, utility, and goodness, it is claimed that unification of skills and Bildung should include the ability to deal with complexity. A second-order complexity challenges the search for adequacy between; a) the complexity of knowledge-creation; and b) the complexity...

Engaging national organizations for knowledge translation: comparative case studies in knowledge value mapping.

Science.gov (United States)

Lane, Joseph P; Rogers, Juan D

2011-09-12

Government sponsors of research and development, along with their funded investigators, are increasingly tasked with demonstrating evidence of knowledge use by nontraditional audiences. This requires efforts to translate their findings for effective communication. For technology-related knowledge, these audiences include clinicians, consumers, manufacturers, public policy agencies, and knowledge brokers. One potentially efficient approach is to communicate research findings through relevant national organizations. However, this requires an understanding of how such organizations view and treat research knowledge, which can be determined through knowledge-value mapping. Do knowledge values differ between national organizations representing different audiences? Can a deeper understanding of knowledge values help sponsors, investigators, and organizations better communicate research findings to stakeholders? A series of comparative case studies on knowledge-value mapping were derived through interviews with spokespersons for six national organizations. The semi-structured interviews followed a 10-item questionnaire to characterize different ways in which each organization engages with research-based knowledge. Each participating organization represents a particular stakeholder group, while all share a common interest in the research subject matter. Each national organization considers the value of the research knowledge in the context of their organization's mission and the interests of their members. All are interested in collaborating with researchers to share relevant findings, while they vary along the following dimensions of knowledge engagement: create, identify, translate, adapt, communicate, use, promote, absorptive capacity, and recommendations for facilitation. The principles of knowledge translation suggest that investigators can increase use by tailoring the format and context of their findings to the absorptive capacity of nonscholars. Greater absorption

Knowledge Portals: Ontologies at Work

OpenAIRE

Staab, Steffen; Maedche, Alexander

2001-01-01

Knowledge portals provide views onto domain-specific information on the World Wide Web, thus helping their users find relevant, domain-specific information. The construction of intelligent access and the contribution of information to knowledge portals, however, remained an ad hoc task, requiring extensive manual editing and maintenance by the knowledge portal providers. To diminish these efforts, we use ontologies as a conceptual backbone for providing, accessing, and structuring information...

Creating a Context for Learning: Activating Children’s Whole Number Knowledge Prepares Them to Understand Fraction Division

Directory of Open Access Journals (Sweden)

Pooja Gupta Sidney

2017-07-01

Full Text Available When children learn about fractions, their prior knowledge of whole numbers often interferes, resulting in a whole number bias. However, many fraction concepts are generalizations of analogous whole number concepts; for example, fraction division and whole number division share a similar conceptual structure. Drawing on past studies of analogical transfer, we hypothesize that children’s whole number division knowledge will support their understanding of fraction division when their relevant prior knowledge is activated immediately before engaging with fraction division. Children in 5th and 6th grade modeled fraction division with physical objects after modeling a series of addition, subtraction, multiplication, and division problems with whole number operands and fraction operands. In one condition, problems were blocked by operation, such that children modeled fraction problems immediately after analogous whole number problems (e.g., fraction division problems followed whole number division problems. In another condition, problems were blocked by number type, such that children modeled all four arithmetic operations with whole numbers in the first block, and then operations with fractions in the second block. Children who solved whole number division problems immediately before fraction division problems were significantly better at modeling the conceptual structure of fraction division than those who solved all of the fraction problems together. Thus, implicit analogies across shared concepts can affect children’s mathematical thinking. Moreover, specific analogies between whole number and fraction concepts can yield a positive, rather than a negative, whole number bias.

Nutrition Knowledge of Teen-Agers.

Science.gov (United States)

Skinner, Jean D.; Woodburn, Margy J.

1984-01-01

Nutrition knowledge tests were administered to 1,193 adolescents in Oregon prior to instructional units on nutrition in health and home economics classes. Mean scores on the tests were low. Guidelines for nutrition educators of adolescents are presented. (Author/CJB)

Knowledge Representation and Ontologies

Science.gov (United States)

Grimm, Stephan

Knowledge representation and reasoning aims at designing computer systems that reason about a machine-interpretable representation of the world. Knowledge-based systems have a computational model of some domain of interest in which symbols serve as surrogates for real world domain artefacts, such as physical objects, events, relationships, etc. [1]. The domain of interest can cover any part of the real world or any hypothetical system about which one desires to represent knowledge for com-putational purposes. A knowledge-based system maintains a knowledge base, which stores the symbols of the computational model in the form of statements about the domain, and it performs reasoning by manipulating these symbols. Applications can base their decisions on answers to domain-relevant questions posed to a knowledge base.

Processing and memory of information presented in narrative or expository texts.

Science.gov (United States)

Wolfe, Michael B W; Woodwyk, Joshua M

2010-09-01

Previous research suggests that narrative and expository texts differ in the extent to which they prompt students to integrate to-be-learned content with relevant prior knowledge during comprehension. We expand on previous research by examining on-line processing and representation in memory of to-be-learned content that is embedded in narrative or expository texts. We are particularly interested in how differences in the use of relevant prior knowledge leads to differences in terms of levels of discourse representation (textbase vs. situation model). A total of 61 university undergraduates in Expt 1, and 160 in Expt 2. In Expt 1, subjects thought out loud while comprehending circulatory system content embedded in a narrative or expository text, followed by free recall of text content. In Expt 2, subjects read silently and completed a sentence recognition task to assess memory. In Expt 1, subjects made more associations to prior knowledge while reading the expository text, and recalled more content. Content recall was also correlated with amount of relevant prior knowledge for subjects who read the expository text but not the narrative text. In Expt 2, subjects reading the expository text (compared to the narrative text) had a weaker textbase representation of the to-be-learned content, but a marginally stronger situation model. Results suggest that in terms of to-be-learned content, expository texts trigger students to utilize relevant prior knowledge more than narrative texts.

Knowledge Transfer in Family Business Successions

DEFF Research Database (Denmark)

Boyd, Britta; Royer, Susanne; Pei, Rong

Knowledge often is the fundament for strategic competitive advantage. Thus, it is highly relevant to understand better how knowledge is transferred from one generation to the next in family businesses. Building on the contingency model of family business succession (Royer, Simons, Boyd & Rafferty...

Why Knowledge management is (Cognitive) Psychology

NARCIS (Netherlands)

Jorna, R.J.J.M.; Jorna, R.J.J.M.; Stephenson, N; Radtke, H.R.; Stam, H.J.

2003-01-01

This chapter illustrates how psychology, and cognitive psychology in particular, can enrich the discussions on knowledge management. Beginning with a realistic organizational example of the use of knowledge management, I argue that organizations are multi-actor systems and discuss the relevance of

Contrast-Enhanced Proton Radiography for Patient Set-up by Using X-Ray CT Prior Knowledge

Energy Technology Data Exchange (ETDEWEB)

Spadea, Maria Francesca, E-mail: mfspadea@unicz.it [Department of Experimental and Clinical Medicine, Magna Graecia University, Catanzaro (Italy); Fassi, Aurora [Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano (Italy); Zaffino, Paolo [Department of Experimental and Clinical Medicine, Magna Graecia University, Catanzaro (Italy); Riboldi, Marco; Baroni, Guido [Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano (Italy); Bioengineering Unit—CNAO Foundation, Pavia (Italy); Depauw, Nicolas [Department of Radiation Oncology, Harvard Medical School and Massachusetts General Hospital, Boston, Massachusetts (United States); Centre for Medical Radiation Physics, University of Wollongong, Wollongong (Australia); Seco, Joao [Department of Radiation Oncology, Harvard Medical School and Massachusetts General Hospital, Boston, Massachusetts (United States)

2014-11-01

Purpose: To obtain a contrasted image of the tumor region during the setup for proton therapy in lung patients, by using proton radiography and x-ray computed tomography (CT) prior knowledge. Methods and Materials: Six lung cancer patients' CT scans were preprocessed by masking out the gross tumor volume (GTV), and digitally reconstructed radiographs along the planned beam's eye view (BEV) were generated, for a total of 27 projections. Proton radiographies (PR) were also computed for the same BEV through Monte Carlo simulations. The digitally reconstructed radiograph was subtracted from the corresponding proton image, resulting in a contrast-enhanced proton radiography (CEPR). Michelson contrast analysis was performed both on PR and CEPR. The tumor region was then automatically segmented on CEPR and compared to the ground truth (GT) provided by physicians in terms of Dice coefficient, accuracy, precision, sensitivity, and specificity. Results: Contrast on CEPR was, on average, 4 times better than on PR. For 10 lateral projections (±45° off of 90° or 270°), although it was not possible to distinguish the tumor region in the PR, CEPR offers excellent GTV visibility. The median ± quartile values of Dice, precision, and accuracy indexes were 0.86 ± 0.03, 0.86 ± 0.06, and 0.88 ± 0.02, respectively, thus confirming the reliability of the method in highlighting tumor boundaries. Sensitivity and specificity analysis demonstrated that there is no systematic over- or underestimation of the tumor region. Identification of the tumor boundaries using CEPR resulted in a more accurate and precise definition of GTV compared to that obtained from pretreatment CT. Conclusions: In most proton centers, the current clinical protocol is to align the patient using kV imaging with bony anatomy as a reference. We demonstrated that CEPR can significantly improve tumor visualization, allowing better patient set-up and permitting image guided proton therapy (IGPT)

Maximum entropy reconstruction of spin densities involving non uniform prior

International Nuclear Information System (INIS)

Schweizer, J.; Ressouche, E.; Papoular, R.J.; Zheludev, A.I.

1997-01-01

Diffraction experiments give microscopic information on structures in crystals. A method which uses the concept of maximum of entropy (MaxEnt), appears to be a formidable improvement in the treatment of diffraction data. This method is based on a bayesian approach: among all the maps compatible with the experimental data, it selects that one which has the highest prior (intrinsic) probability. Considering that all the points of the map are equally probable, this probability (flat prior) is expressed via the Boltzman entropy of the distribution. This method has been used for the reconstruction of charge densities from X-ray data, for maps of nuclear densities from unpolarized neutron data as well as for distributions of spin density. The density maps obtained by this method, as compared to those resulting from the usual inverse Fourier transformation, are tremendously improved. In particular, any substantial deviation from the background is really contained in the data, as it costs entropy compared to a map that would ignore such features. However, in most of the cases, before the measurements are performed, some knowledge exists about the distribution which is investigated. It can range from the simple information of the type of scattering electrons to an elaborate theoretical model. In these cases, the uniform prior which considers all the different pixels as equally likely, is too weak a requirement and has to be replaced. In a rigorous bayesian analysis, Skilling has shown that prior knowledge can be encoded into the Maximum Entropy formalism through a model m(rvec r), via a new definition for the entropy given in this paper. In the absence of any data, the maximum of the entropy functional is reached for ρ(rvec r) = m(rvec r). Any substantial departure from the model, observed in the final map, is really contained in the data as, with the new definition, it costs entropy. This paper presents illustrations of model testing

Validation Of Critical Knowledge-Based Systems

Science.gov (United States)

Duke, Eugene L.

1992-01-01

Report discusses approach to verification and validation of knowledge-based systems. Also known as "expert systems". Concerned mainly with development of methodologies for verification of knowledge-based systems critical to flight-research systems; e.g., fault-tolerant control systems for advanced aircraft. Subject matter also has relevance to knowledge-based systems controlling medical life-support equipment or commuter railroad systems.

Knowledge of Hypertensive Patients With or Without HIV on ...

African Journals Online (AJOL)

Erah

hypertensive medicines than in those who were on anti-hypertensive medicines alone prior to being placed on ARVs. Pharmacists' knowledge of hypertension and anti-hypertensive agents. Table 4 presents data on pharnacists' knowledge of hypentension. Only 15 % of pharmacists could clearly define hypertension.

Knowledge acquisition for temporal abstraction.

Science.gov (United States)

Stein, A; Musen, M A; Shahar, Y

1996-01-01

Temporal abstraction is the task of detecting relevant patterns in data over time. The knowledge-based temporal-abstraction method uses knowledge about a clinical domain's contexts, external events, and parameters to create meaningful interval-based abstractions from raw time-stamped clinical data. In this paper, we describe the acquisition and maintenance of domain-specific temporal-abstraction knowledge. Using the PROTEGE-II framework, we have designed a graphical tool for acquiring temporal knowledge directly from expert physicians, maintaining the knowledge in a sharable form, and converting the knowledge into a suitable format for use by an appropriate problem-solving method. In initial tests, the tool offered significant gains in our ability to rapidly acquire temporal knowledge and to use that knowledge to perform automated temporal reasoning.

Coupling knowledge and action in the management context

DEFF Research Database (Denmark)

Mazza, Carmelo; Strandgaard Pedersen, Jesper; Alvarez, José Luis

2003-01-01

In the last decade, scholarly interest has been mainly attracted on the nature of knowledge,mechanisms of knowledge production and the transformation of the institutions diffusingknowledge. Most of these studies share the underlying hypotheses that management knowledge`travels', as a package, from...... on priorities and undertake specific courses of actions This supports theidea that the managerial role is intrinsically political.Second, management education cannot simply deals with managerial recipes and rules of thumb. Itis increasingly asked for providing non-technical knowledge to help managers exert...... their politicalrole. To mobilize constituencies and create consensus on controversial decisions, technicalitiescould be less relevant than business-unrelated knowledge. We hold that has a relevant impact onboth the institutional settings and the content of management education.The paper is structured in three parts...

Hand hygiene knowledge and perceptions among anesthesia providers.

Science.gov (United States)

Fernandez, Patrick G; Loftus, Randy W; Dodds, Thomas M; Koff, Matthew D; Reddy, Sundara; Heard, Stephen O; Beach, Michael L; Yeager, Mark P; Brown, Jeremiah R

2015-04-01

Health care worker compliance with hand hygiene guidelines is an important measure for health care-associated infection prevention, yet overall compliance across all health care arenas remains low. A correct answer to 4 of 4 structured questions pertaining to indications for hand decontamination (according to types of contact) has been associated with improved health care provider hand hygiene compliance when compared to those health care providers answering incorrectly for 1 or more questions. A better understanding of knowledge deficits among anesthesia providers may lead to hand hygiene improvement strategies. In this study, our primary aims were to characterize and identify predictors for hand hygiene knowledge deficits among anesthesia providers. We modified this previously tested survey instrument to measure anesthesia provider hand hygiene knowledge regarding the 5 moments of hand hygiene across national and multicenter groups. Complete knowledge was defined by correct answers to 5 questions addressing the 5 moments for hand hygiene and received a score of 1. Incomplete knowledge was defined by an incorrect answer to 1 or more of the 5 questions and received a score of 0. We used a multilevel random-effects XTMELOGIT logistic model clustering at the respondent and geographic location for insufficient knowledge and forward/backward stepwise logistic regression analysis to identify predictors for incomplete knowledge. The survey response rates were 55.8% and 18.2% for the multicenter and national survey study groups, respectively. One or more knowledge deficits occurred with 81.6% of survey respondents, with the mean number of correct answers 2.89 (95% confidence interval, 2.78- 2.99). Failure of providers to recognize prior contact with the environment and prior contact with the patient as hand hygiene opportunities contributed to the low mean. Several cognitive factors were associated with a reduced risk of incomplete knowledge including providers responding

Constrained noninformative priors

International Nuclear Information System (INIS)

Atwood, C.L.

1994-10-01

The Jeffreys noninformative prior distribution for a single unknown parameter is the distribution corresponding to a uniform distribution in the transformed model where the unknown parameter is approximately a location parameter. To obtain a prior distribution with a specified mean but with diffusion reflecting great uncertainty, a natural generalization of the noninformative prior is the distribution corresponding to the constrained maximum entropy distribution in the transformed model. Examples are given

The Quebec Rural Emergency Department Project: A Cross-Sectional Study of a Potential Two-Pronged Strategy in the Knowledge Transfer Process

Science.gov (United States)

Poitras, Julien; Chauny, Jean-Marc; Lévesque, Jean-Frédéric; Ouimet, Mathieu; Dupuis, Gilles; Tanguay, Alain; Simard-Racine, Geneviève

2015-01-01

Introduction Health services research generates useful knowledge. Promotion of implementation of this knowledge in medical practice is essential. Prior to initiation of a major study on rural emergency departments (EDs), we deployed two knowledge transfer strategies designed to generate interest and engagement from potential knowledge users. The objective of this paper was to review: 1) a combined project launch and media press release strategy, and 2) a pre-study survey designed to survey potential knowledge users’ opinions on the proposed study variables. Materials and Methods We evaluated the impact of the project launch (presentation at two conferences hosted by key stakeholders) and media press release via a survey of participants/stakeholders and by calculating the number of media interview requests and reports generated. We used a pre-study survey to collect potential key stakeholder’ opinions on the study variables. Results Twenty-one of Quebec’s 26 rural EDs participated in the pre-study survey (81% participation rate). The press release about the study generated 51 press articles and 20 media request for interviews, and contributed to public awareness of a major rural research initiative. In the pre-study survey, thirteen participants (46%) mentioned prior knowledge of the research project. Results from the pre-study survey revealed that all of the potential study variables were considered to be relevant for inclusion in the research project. Respondents also proposed additional variables of interest, including factors promoting retention of human resources. Conclusions The present study demonstrated the potential utility of a two-pronged knowledge transfer strategy, including a combined formal launch and press release, and a pre-study survey designed to ensure that the included variables were of interest to participants and stakeholders. PMID:25849328

Strategic Direction of Libraries in Knowledge Management

Institute of Scientific and Technical Information of China (English)

无

2002-01-01

1 Introduction “Knowledge Management”has become a popular term inthe business world during the last decade of the 20th century.It was the business world that recognizes at first theimportance of knowledge in the“global economy”of the“knowledge age”. In the new knowledge economy,knowledge is power,especially if it is shared and put tocreative use. The possession of relevant and strategicknowledge and its unceasing renewal enables businesses togain competitive advantage.

Finding gene regulatory network candidates using the gene expression knowledge base.

Science.gov (United States)

Venkatesan, Aravind; Tripathi, Sushil; Sanz de Galdeano, Alejandro; Blondé, Ward; Lægreid, Astrid; Mironov, Vladimir; Kuiper, Martin

2014-12-10

Network-based approaches for the analysis of large-scale genomics data have become well established. Biological networks provide a knowledge scaffold against which the patterns and dynamics of 'omics' data can be interpreted. The background information required for the construction of such networks is often dispersed across a multitude of knowledge bases in a variety of formats. The seamless integration of this information is one of the main challenges in bioinformatics. The Semantic Web offers powerful technologies for the assembly of integrated knowledge bases that are computationally comprehensible, thereby providing a potentially powerful resource for constructing biological networks and network-based analysis. We have developed the Gene eXpression Knowledge Base (GeXKB), a semantic web technology based resource that contains integrated knowledge about gene expression regulation. To affirm the utility of GeXKB we demonstrate how this resource can be exploited for the identification of candidate regulatory network proteins. We present four use cases that were designed from a biological perspective in order to find candidate members relevant for the gastrin hormone signaling network model. We show how a combination of specific query definitions and additional selection criteria derived from gene expression data and prior knowledge concerning candidate proteins can be used to retrieve a set of proteins that constitute valid candidates for regulatory network extensions. Semantic web technologies provide the means for processing and integrating various heterogeneous information sources. The GeXKB offers biologists such an integrated knowledge resource, allowing them to address complex biological questions pertaining to gene expression. This work illustrates how GeXKB can be used in combination with gene expression results and literature information to identify new potential candidates that may be considered for extending a gene regulatory network.

Collective Problem-Solving: The Role of Self-Efficacy, Skill, and Prior Knowledge

Directory of Open Access Journals (Sweden)

Dorit Geifman

2015-12-01

In a controlled experiment, 632 participants in 47 markets traded a solution to a complex problem, a naïve framing of the knapsack problem. Contrary to earlier research, we find that technical and functional self-efficacy perceptions are indistinguishable, probably due to a focus on outcomes rather than on resources. Further, results demonstrate that prediction markets are an effective collective problem-solving platform that correctly aggregates individual knowledge and is resilient to traders’ self-efficacy.

Hyperthermic radiosensitization : mode of action and clinical relevance

NARCIS (Netherlands)

Kampinga, HH; Dikomey, E

Purpose: To provide an update on the recent knowledge about the molecular mechanisms of thermal radiosensitization and its possible relevance to thermoradiotherapy. Summary: Hyperthermia is probably the most potent cellular radiosensitizer known to date. Heat interacts with radiation and potentiates

Engaging national organizations for knowledge translation: Comparative case studies in knowledge value mapping

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Rogers Juan D

2011-09-01

Full Text Available Abstract Background Government sponsors of research and development, along with their funded investigators, are increasingly tasked with demonstrating evidence of knowledge use by nontraditional audiences. This requires efforts to translate their findings for effective communication. For technology-related knowledge, these audiences include clinicians, consumers, manufacturers, public policy agencies, and knowledge brokers. One potentially efficient approach is to communicate research findings through relevant national organizations. However, this requires an understanding of how such organizations view and treat research knowledge, which can be determined through knowledge-value mapping. Do knowledge values differ between national organizations representing different audiences? Can a deeper understanding of knowledge values help sponsors, investigators, and organizations better communicate research findings to stakeholders? Methods A series of comparative case studies on knowledge-value mapping were derived through interviews with spokespersons for six national organizations. The semi-structured interviews followed a 10-item questionnaire to characterize different ways in which each organization engages with research-based knowledge. Each participating organization represents a particular stakeholder group, while all share a common interest in the research subject matter. Results Each national organization considers the value of the research knowledge in the context of their organization's mission and the interests of their members. All are interested in collaborating with researchers to share relevant findings, while they vary along the following dimensions of knowledge engagement: create, identify, translate, adapt, communicate, use, promote, absorptive capacity, and recommendations for facilitation. Conclusions The principles of knowledge translation suggest that investigators can increase use by tailoring the format and context of their

Is Teacher Knowledge Associated with Performance? On the Relationship between Teachers' General Pedagogical Knowledge and Instructional Quality

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König, Johannes; Pflanzl, Barbara

2016-01-01

Researchers have identified general pedagogical knowledge (GPK) as a relevant category of teacher knowledge. However, hardly any study has examined the relationship between GPK of teachers and the instructional quality delivered to their students. This article therefore investigates the relationship between teachers' GPK assessed via a…

Benchmarking in Prior Learning Assessment and Recognition (PLAR – Tool for training reform

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Rodica MOLDOVEANU

2009-12-01

Full Text Available Adults invariably need to change their job from sector to sector and place to place as their life and training needs change. In this respect the importance of recognizing people’s knowledge, skills and competencies as basis for further learning and development can not be overstated Prior Learning Assessment and Recognition process (PLAR. Accepted benchmarks for PLAR support assessment process by providing a list of function, skills and knowledge that need to be used as a complementary set of generic standards of best practices in PLAR.

Does emotion help or hinder reasoning? The moderating role of relevance.

Science.gov (United States)

Blanchette, Isabelle; Gavigan, Sarah; Johnston, Kathryn

2014-06-01

Some prior research has shown that emotion impairs logicality in deductive reasoning tasks, while other research suggests improved performance with emotional contents. We suggest that relevance, whether the affective state is associated with the semantic contents of the reasoning task, may be crucial in explaining these apparently inconsistent findings. This hypothesis is based on a framework distinguishing between integral emotions, where affective responses are evoked by the semantic contents of the target task, and incidental emotions, where affective responses are not related to the task. In 4 experiments we examined the effect of emotion on conditional reasoning when affective responses were relevant and irrelevant. We used images presented simultaneously with the reasoning stimuli (Experiments 1, 2, and 3) or videos presented prior to the reasoning stimuli (Experiment 4) that were either emotional or neutral and semantically related or not to the conditional statements. Results showed that emotion decreased the proportion of normatively correct responses only in the irrelevant condition. In the relevant condition, emotion did not produce reliable deleterious effects. We used reaction time and skin conductance measures to investigate the physiological and cognitive correlates of these effects. Results are discussed in terms of the distinction between incidental and integral emotions. PsycINFO Database Record (c) 2014 APA, all rights reserved.

Knowledge of primary care nurses regarding domestic violence ...

African Journals Online (AJOL)

Knowledge of primary care nurses regarding domestic violence. ... It included also knowledge about prevalence of DV, and four main aspects relevant to DV, namely deprivation, psychological, ... schools, training courses and conferences.

Designing Knowledge Map for Knowledge Management projects Using Network Analysis

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heidar najafi

2017-09-01

Full Text Available In this research knowledge management has been studied as an interdisciplinary area. We aim to find an answer for this question that "what are the scientific structure and knowledge map of knowledge management projects regarding these two aspect of subject areas and keywords. For this purpose, nearly 40000 scientific documents including knowledge management as one of their keywords were selected from Scopus database and were studied in various subject areas. In this research,bar charts have been drawn for each index of subject areas and keywords. Besides, using Co-occurrence matrix, adjacency graphs were drawn and then clustered using Average-Link algorithm. Bar charts and graphs were drawn using R and Excel software. The results of this research showed that among the researches on knowledge management in the world, the most relevant scientific fields to knowledge management are Computer Sciences with 32.5%, Business, Management and Accounting with 14.5%, Engineering with 13.7%, Decisive Sciences with 12.6%, Mathematics with 7.07%, and Social Sciences with 6.63%, respectively. The most keywords collocate with knowledge management in the world are Human-Computer Interaction, Information Management, Systems Management, Information Technology, Manufacturing, Acquisition of Knowledge, Semantics, Knowledge Transfer, Ontology and Information Retrieval.

Prior adversities predict posttraumatic stress reactions in adolescents following the Oslo Terror events 2011

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Nordanger, Dag Ø.; Breivik, Kyrre; Haugland, Bente Storm; Lehmann, Stine; Mæhle, Magne; Braarud, Hanne Cecilie; Hysing, Mari

2014-01-01

Background Former studies suggest that prior exposure to adverse experiences such as violence or sexual abuse increases vulnerability to posttraumatic stress reactions in victims of subsequent trauma. However, little is known about how such a history affects responses to terror in the general adolescent population. Objective To explore the role of prior exposure to adverse experiences as risk factors for posttraumatic stress reactions to the Oslo Terror events. Method We used data from 10,220 high school students in a large cross-sectional survey of adolescents in Norway that took place seven months after the Oslo Terror events. Prior exposure assessed was: direct exposure to violence, witnessing of violence, and unwanted sexual acts. We explored how these prior adversities interact with well-established risk factors such as proximity to the events, perceived life threat during the terror events, and gender. Results All types of prior exposure as well as the other risk factors were associated with terror-related posttraumatic stress reactions. The effects of prior adversities were, although small, independent of adolescents’ proximity to the terror events. Among prior adversities, only the effect of direct exposure to violence was moderated by perceived life threat. Exposure to prior adversities increased the risk of posttraumatic stress reactions equally for both genders, but proximity to the terror events and perceived life threat increased the risk more in females. Conclusions Terror events can have a more destabilizing impact on victims of prior adversities, independent of their level of exposure. The findings may be relevant to mental health workers and others providing post-trauma health care. PMID:24872862

Prior adversities predict posttraumatic stress reactions in adolescents following the Oslo Terror events 2011.

Science.gov (United States)

Nordanger, Dag Ø; Breivik, Kyrre; Haugland, Bente Storm; Lehmann, Stine; Mæhle, Magne; Braarud, Hanne Cecilie; Hysing, Mari

2014-01-01

Former studies suggest that prior exposure to adverse experiences such as violence or sexual abuse increases vulnerability to posttraumatic stress reactions in victims of subsequent trauma. However, little is known about how such a history affects responses to terror in the general adolescent population. To explore the role of prior exposure to adverse experiences as risk factors for posttraumatic stress reactions to the Oslo Terror events. We used data from 10,220 high school students in a large cross-sectional survey of adolescents in Norway that took place seven months after the Oslo Terror events. Prior exposure assessed was: direct exposure to violence, witnessing of violence, and unwanted sexual acts. We explored how these prior adversities interact with well-established risk factors such as proximity to the events, perceived life threat during the terror events, and gender. All types of prior exposure as well as the other risk factors were associated with terror-related posttraumatic stress reactions. The effects of prior adversities were, although small, independent of adolescents' proximity to the terror events. Among prior adversities, only the effect of direct exposure to violence was moderated by perceived life threat. Exposure to prior adversities increased the risk of posttraumatic stress reactions equally for both genders, but proximity to the terror events and perceived life threat increased the risk more in females. Terror events can have a more destabilizing impact on victims of prior adversities, independent of their level of exposure. The findings may be relevant to mental health workers and others providing post-trauma health care.

The knowledge base of journalism

DEFF Research Database (Denmark)

Svith, Flemming

In this paper I propose the knowledge base as a fruitful way to apprehend journalism. With the claim that the majority of practice is anchored in knowledge – understood as 9 categories of rationales, forms and levels – this knowledge base appears as a contextual look at journalists’ knowledge......, and place. As an analytical framework, the knowledge base is limited to understand the practice of newspaper journalists, but, conversely, the knowledge base encompasses more general beginnings through the inclusion of overall structural relationships in the media and journalism and general theories...... on practice and knowledge. As the result of an abductive reasoning is a theory proposal, there is a need for more deductive approaches to test the validity of this knowledge base claim. It is thus relevant to investigate which rationales are included in the knowledge base of journalism, as the dimension does...

Pathways to Advancing Aging Policy-Relevant Research in Academic Settings.

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Kietzman, Kathryn G; Troy, Lisa M; Green, Carmen R; Wallace, Steven P

2016-01-01

Policy-level changes have a significant influence on the health and well-being of aging populations. Yet there is often a gap between scientific knowledge and policy action. Although previous research has identified barriers and facilitators to effective knowledge translation, little attention has been given to the role of academic institutions in knowledge generation. This exploratory focus group study examines barriers and pathways to developing and maintaining an aging policy-relevant research agenda in academic settings, and additional challenges associated with minority group membership in this pursuit. Participants were personally committed to conducting policy-relevant research despite institutional barriers such as fewer funding opportunities and less value attributed to their research, particularly in the context of tenure and promotion. Although many viewed their research as an opportunity to make a difference, especially for underserved older adult populations, a number of minority group participants expressed that their policy research interests were marginalized. Participants offer individual and institutional-level strategies for addressing barriers, including collaborating with community members and colleagues and engaging mentors within and outside of their academic institutions. Reframing the valuation of policy research through the diversification of funding and publishing opportunities can better support scholars engaged in aging policy-relevant research.

THE CURRENT STATE OF KNOWLEDGE IN THE VALUE RELEVANCE RESEARCH FIELD

OpenAIRE

Carmen- Alexandra BALTARIU

2015-01-01

The purpose of this paper is to assess the scientific literature referring to the value relevance of reported accounting information over a twelve year period starting from 2002. The approach of the paper is a theoretical (conceptual) one. In order to complete the purpose of the paper we selected as research method the longitudinal qualitative analysis. The qualitative analysis carried out presents a deductive character. Our conclusions regarding the general characteristics of the research fi...

The relevance of accounting in a stock market bubble : Evidence from internet IPO's

NARCIS (Netherlands)

Bhattacharya, N.; Demers, E.; Joos, P.P.M.

2010-01-01

Prior research shows that accounting information is relevant for stock valuation, failure prediction, performance evaluation, optimal contracting, and other decision-making contexts in relatively stable market settings. By contrast, accounting's role during stock market bubbles such as those

Innovation through Knowledge Transfer 2012

CERN Document Server

Gabrys, Bogdan; Musial-Gabrys, Katarzyna; Roach, Jim; Innovation through Knowledge Transfer InnovationKT-2012

2013-01-01

Across the world there is growing awareness of the importance of innovation and knowledge transfer.  Innovation in the sense of generating new knowledge and making better use of existing knowledge, coupled with knowledge transfer and sharing paradigms, have never been more relevant to the universities, industry, commerce and the third sector.  This volume represents the proceedings of the Innovation through Knowledge Transfer 2012 Conference which formed an excellent opportunity to disseminate, share and discuss the impact of innovation, knowledge sharing, enterprise and entrepreneurship.  The volume contains papers presented at a Workshop on ‘The Meta Transfer of Knowledge: Challenges in the Transfer of Knowledge in Industry’, others from thematic sessions on ‘Next-Practice in University Based Open Innovation’,  ‘Social Innovation and Related Paradigms’, ‘Engagement with Industry and Commerce’ and ‘Knowledge Exchange’.  All papers were thoroughly reviewed by referees knowledgeable in...

Semantic knowledge representation for information retrieval

CERN Document Server

Gödert, Winfried; Nagelschmidt, Matthias

2014-01-01

This book covers the basics of semantic web technologies and indexing languages, and describes their contribution to improve languages as a tool for subject queries and knowledge exploration. The book is relevant to information scientists, knowledge workers and indexers. It provides a suitable combination of theoretical foundations and practical applications.

Short communication: Alteration of priors for random effects in Gaussian linear mixed model

DEFF Research Database (Denmark)

Vandenplas, Jérémie; Christensen, Ole Fredslund; Gengler, Nicholas

2014-01-01

such alterations. Therefore, the aim of this study was to propose a method to alter both the mean and (co)variance of the prior multivariate normal distributions of random effects of linear mixed models while using currently available software packages. The proposed method was tested on simulated examples with 3......, multiple-trait predictions of lactation yields, and Bayesian approaches integrating external information into genetic evaluations) need to alter both the mean and (co)variance of the prior distributions and, to our knowledge, most software packages available in the animal breeding community do not permit...... different software packages available in animal breeding. The examples showed the possibility of the proposed method to alter both the mean and (co)variance of the prior distributions with currently available software packages through the use of an extended data file and a user-supplied (co)variance matrix....

Applying a Knowledge Management Taxonomy to Secondary Schools

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Thambi, Melinda; O'Toole, Paddy

2012-01-01

The purpose of this article is to examine the relevance of a corporate-based taxonomy of knowledge management to secondary schooling. Do the principles of knowledge management from the corporate world translate to the world of education; specifically, secondary schooling? This article examines categories of knowledge management articulated in…

What does policy-relevant global environmental knowledge do? The cases of climate and biodiversity

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Turnhout, E.; Dewulf, A.R.P.J.; Hulme, M.

2016-01-01

There is a surge in global knowledge-making efforts to inform environmental governance. This article synthesises the current state of the art of social science scholarship about the generation and use of global environmental knowledge. We focus specifically on the issues of scale — providing

Information Impact | Journal of Information and Knowledge ...

African Journals Online (AJOL)

USER

Information Impact | Journal of Information and Knowledge Management ... Abstract. This study was designed to determine the impact of collaboration on research and teaching .... delivery of quality instruction. ... for doing Collaborative projects, and there ... reveals that co-construction of knowledge ..... Get relevant materials.

Analisis Knowledge Management System Pada STMIK Mitra Lampung

OpenAIRE

Winarko, Triyugo

2014-01-01

Knowledge is information that is contextual, relevant and actionable. Knowledge differs from data or information because knowledge is only found in one's thinking. For that we need the knowledge that knowledge management can be an "intangible assets" that can be managed and utilized by many people. STMIK Mitra Lampung is a college with a wealth of knowledge on each personal well yet manageable, so that the knowledge management is expected to be "intangible assets" that can play its role optim...

Employees and Creativity: Social Ties and Access to Heterogeneous Knowledge

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Huang, Chiung-En; Liu, Chih-Hsing Sam

2015-01-01

This study dealt with employee social ties, knowledge heterogeneity contacts, and the generation of creativity. Although prior studies demonstrated a relationship between network position and creativity, inadequate attention has been paid to network ties and heterogeneity knowledge contacts. This study considered the social interaction processes…

Managing ecosystems without prior knowledge: pathological outcomes of lake liming

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David G. Angeler

2017-12-01

Full Text Available Management actions often need to be taken in the absence of ecological information to mitigate the impact of pressing environmental problems. Managers counteracted the detrimental effects of cultural acidification on aquatic ecosystems during the industrial era using liming to salvage biodiversity and ecosystem services. However, historical contingencies, i.e., whether lakes were naturally acidic or degraded because of acidification, were largely unknown and therefore not accounted for in management. It is uncertain whether liming outcomes had a potentially detrimental effect on naturally acidic lakes. Evidence from paleolimnological reconstructions allowed us to analyze community structure in limed acidified and naturally acidic lakes, and acidified and circumneutral references. We analyzed community structure of phytoplankton, zooplankton, macroinvertebrates (littoral, sublittoral, profundal, and fish between 2000 and 2004. Naturally acidic limed lakes formed communities that were not representative of the other lake types. The occurrence of fish species relevant for ecosystem service provisioning (fisheries potential in naturally acidic limed lakes were confounded by biogeographical factors. In addition, sustained changes in water quality were conducive to harmful algal blooms. This highlights a pathological outcome of liming lakes when their naturally acidic conditions are not accounted for. Because liming is an important social-ecological system, sustained ecological change of lakes might incur undesired costs for societies in the long term.

Disclosure of Non-Financial Information: Relevant to Financial Analysts?

OpenAIRE

ORENS, Raf; LYBAERT, Nadine

2013-01-01

The decline in the relevance of financial statement information to value firms leads to calls from organizational stakeholders to convey non-financial information in order to be able to judge firms' financial performance and value. This literature review aims to report extant literature findings on the use of corporate non-financial information by sell-side financial analysts, the information intermediaries between corporate management and investors. Prior studies highlight that financial ana...

Prior adversities predict posttraumatic stress reactions in adolescents following the Oslo Terror events 2011

Directory of Open Access Journals (Sweden)

Dag Ø. Nordanger

2014-05-01

Full Text Available Background: Former studies suggest that prior exposure to adverse experiences such as violence or sexual abuse increases vulnerability to posttraumatic stress reactions in victims of subsequent trauma. However, little is known about how such a history affects responses to terror in the general adolescent population. Objective: To explore the role of prior exposure to adverse experiences as risk factors for posttraumatic stress reactions to the Oslo Terror events. Method: We used data from 10,220 high school students in a large cross-sectional survey of adolescents in Norway that took place seven months after the Oslo Terror events. Prior exposure assessed was: direct exposure to violence, witnessing of violence, and unwanted sexual acts. We explored how these prior adversities interact with well-established risk factors such as proximity to the events, perceived life threat during the terror events, and gender. Results: All types of prior exposure as well as the other risk factors were associated with terror-related posttraumatic stress reactions. The effects of prior adversities were, although small, independent of adolescents’ proximity to the terror events. Among prior adversities, only the effect of direct exposure to violence was moderated by perceived life threat. Exposure to prior adversities increased the risk of posttraumatic stress reactions equally for both genders, but proximity to the terror events and perceived life threat increased the risk more in females. Conclusions: Terror events can have a more destabilizing impact on victims of prior adversities, independent of their level of exposure. The findings may be relevant to mental health workers and others providing post-trauma health care.

Prior Familiarization With Takeover Requests Affects Drivers' Takeover Performance and Automation Trust.

Science.gov (United States)

Hergeth, Sebastian; Lorenz, Lutz; Krems, Josef F

2017-05-01

The objective for this study was to investigate the effects of prior familiarization with takeover requests (TORs) during conditional automated driving on drivers' initial takeover performance and automation trust. System-initiated TORs are one of the biggest concerns for conditional automated driving and have been studied extensively in the past. Most, but not all, of these studies have included training sessions to familiarize participants with TORs. This makes them hard to compare and might obscure first-failure-like effects on takeover performance and automation trust formation. A driving simulator study compared drivers' takeover performance in two takeover situations across four prior familiarization groups (no familiarization, description, experience, description and experience) and automation trust before and after experiencing the system. As hypothesized, prior familiarization with TORs had a more positive effect on takeover performance in the first than in a subsequent takeover situation. In all groups, automation trust increased after participants experienced the system. Participants who were given no prior familiarization with TORs reported highest automation trust both before and after experiencing the system. The current results extend earlier findings suggesting that prior familiarization with TORs during conditional automated driving will be most relevant for takeover performance in the first takeover situation and that it lowers drivers' automation trust. Potential applications of this research include different approaches to familiarize users with automated driving systems, better integration of earlier findings, and sophistication of experimental designs.

Extended Linear Models with Gaussian Priors

DEFF Research Database (Denmark)

Quinonero, Joaquin

2002-01-01

In extended linear models the input space is projected onto a feature space by means of an arbitrary non-linear transformation. A linear model is then applied to the feature space to construct the model output. The dimension of the feature space can be very large, or even infinite, giving the model...... a very big flexibility. Support Vector Machines (SVM's) and Gaussian processes are two examples of such models. In this technical report I present a model in which the dimension of the feature space remains finite, and where a Bayesian approach is used to train the model with Gaussian priors...... on the parameters. The Relevance Vector Machine, introduced by Tipping, is a particular case of such a model. I give the detailed derivations of the expectation-maximisation (EM) algorithm used in the training. These derivations are not found in the literature, and might be helpful for newcomers....

Public Knowledge of Monarchs and Support for Butterfly Conservation

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Jerrod Penn

2018-03-01

Full Text Available Pollinator populations in North America are in decline, including the iconic monarch butterfly. In order to determine if public knowledge of monarchs informs opinions on butterfly conservation, we surveyed the public to assess their knowledge of monarchs. We also asked participants about their attitudes towards general butterfly conservation and if they believe that butterfly gardens contribute to conservation. Respondents generally had some knowledge of monarchs but were unaware of monarch population declines and the necessity of milkweed to their life cycle. Respondent knowledge was correlated with more positive attitudes about butterfly conservation. Furthermore, membership in an environmental organization increased the likelihood that the participant had prior knowledge of monarchs and cared about monarch conservation. Respondent socioeconomic factors of age and sex were also significantly correlated with conservation attitudes—older and female participants had more positive attitudes towards general butterfly conservation. Interestingly, females were also less likely than males to admit having prior knowledge of monarchs, indicating that gender may also play an important role in conservation outreach efforts. Our study indicates that educational efforts need to be directed more toward individuals not already associated with an environmental organization as these individuals are predisposed to regard conservation positively.

Conserving Local Knowledge in Traditional Healing through Knowledge Transfer

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Lah Salasiah Che

2015-01-01

Full Text Available Local knowledge (LK basically refers to the knowledge that people in a given community have developed over time, and continues to develop, through practices and based on experiences. Local beliefs pertaining to ilmu, a central concept in Malay culture that refers to knowledge, is essential among the traditional healers. The vast repository of knowledge and its relevance to locality and local situation makes the conservation of LK a necessity.However, due to the dominance of modern knowledge, diminished inter-generational knowledge transfer has led to LK being threatened with extinction. The fact that LK is practiced by only a few these days could be due to lack of knowledge transfer to the younger generations from the traditional healers who are knowledgeable in the communities. The common transfer mode of local knowledge, usually via words of mouth, may not be sustainable because the LK could vanish when knowledgeable elders die before it is transferred or during resettlements of individuals or communities. The need to conserve LK through knowledge transfer is also pertinent for the continued sustenance of their culture by recognizing, protecting and enforcing the rights of local communities to have continued access to biological resources as well as by protecting their LK, acquired over thousand of years of experimentation and experience, about the uses of these biological resources in traditional healing. Therefore, it is important to have a governance framework to effectively protect this LK of the local communities for the continued sustenance of their culture. This conceptual paper attempts to highlight the significance of conserving LK in traditional healing via effective knowledge transfer method, which should thereafter be translated into a working governance framework that protects the knowledge as well as the holders of such knowledge.

Parental knowledge in pediatric otolaryngology surgical consultations: A qualitative content analysis.

Science.gov (United States)

Gorodzinsky, Ayala Y; Hong, Paul; Chorney, Jill MacLaren

2015-07-01

To understand the source of parents' knowledge prior to and desire for further information following pediatric otolaryngology surgical consultations. Mixed-methods approach using descriptive and qualitative content analysis of interviews with parents following otolaryngology consultations for children under the age of 6 years was performed. The children were being seen for either tonsillitis, obstructive sleep apnea, otitis media, and/or sinusitis/nasal obstruction. Forty-one parents completed a phone interview two weeks following their child's surgical consultation. The majority of parents indicated that their primary care physician referred their child for either: investigation of symptoms (50%), to have a specific discussion about surgery (27.5%), or because other treatment options were no longer working (20%). Many parents (56.5%) indicated that the Internet was their primary source of information prior to the appointment. Most parents (93%) wanted more information; majority of these parents noted that a technology-based mode of delivery of information available prior to the appointment would be most desirable. Desired information was most often regarding the surgical procedure, including risks and benefits, and symptoms of concern prior to surgery. This study provides a description of parental knowledge and information sources prior to their child's surgical consultation and continued desire for information. This information may lead to decreased knowledge barriers and increased communication to facilitate shared decision-making between the provider and parents. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Parents’ Monitoring-Relevant Knowledge and Adolescents’ Delinquent Behavior: Evidence of Correlated Developmental Changes and Reciprocal Influences

OpenAIRE

Laird, Robert D.; Pettit, Gregory S.; Bates, John E.; Dodge, Kenneth A.

2003-01-01

Links between parental knowledge and adolescent delinquent behavior were tested for correlated rates of developmental change and reciprocal associations. For 4 years beginning at age 14, adolescents (N = 396) reported on their delinquent behavior and on their parents’ knowledge of their whereabouts and activities. Parents completed measures of their adolescents’ delinquent behavior. Knowledge was negatively correlated with delinquent behaviors at baseline, and increases over time in knowledge...

Recent study, but not retrieval, of knowledge protects against learning errors.

Science.gov (United States)

Mullet, Hillary G; Umanath, Sharda; Marsh, Elizabeth J

2014-11-01

Surprisingly, people incorporate errors into their knowledge bases even when they have the correct knowledge stored in memory (e.g., Fazio, Barber, Rajaram, Ornstein, & Marsh, 2013). We examined whether heightening the accessibility of correct knowledge would protect people from later reproducing misleading information that they encountered in fictional stories. In Experiment 1, participants studied a series of target general knowledge questions and their correct answers either a few minutes (high accessibility of knowledge) or 1 week (low accessibility of knowledge) before exposure to misleading story references. In Experiments 2a and 2b, participants instead retrieved the answers to the target general knowledge questions either a few minutes or 1 week before the rest of the experiment. Reading the relevant knowledge directly before the story-reading phase protected against reproduction of the misleading story answers on a later general knowledge test, but retrieving that same correct information did not. Retrieving stored knowledge from memory might actually enhance the encoding of relevant misinformation.

Putting Priors in Mixture Density Mercer Kernels

Science.gov (United States)

Srivastava, Ashok N.; Schumann, Johann; Fischer, Bernd

2004-01-01

This paper presents a new methodology for automatic knowledge driven data mining based on the theory of Mercer Kernels, which are highly nonlinear symmetric positive definite mappings from the original image space to a very high, possibly infinite dimensional feature space. We describe a new method called Mixture Density Mercer Kernels to learn kernel function directly from data, rather than using predefined kernels. These data adaptive kernels can en- code prior knowledge in the kernel using a Bayesian formulation, thus allowing for physical information to be encoded in the model. We compare the results with existing algorithms on data from the Sloan Digital Sky Survey (SDSS). The code for these experiments has been generated with the AUTOBAYES tool, which automatically generates efficient and documented C/C++ code from abstract statistical model specifications. The core of the system is a schema library which contains template for learning and knowledge discovery algorithms like different versions of EM, or numeric optimization methods like conjugate gradient methods. The template instantiation is supported by symbolic- algebraic computations, which allows AUTOBAYES to find closed-form solutions and, where possible, to integrate them into the code. The results show that the Mixture Density Mercer-Kernel described here outperforms tree-based classification in distinguishing high-redshift galaxies from low- redshift galaxies by approximately 16% on test data, bagged trees by approximately 7%, and bagged trees built on a much larger sample of data by approximately 2%.

Diabetes knowledge in nursing homes and home-based care services: a validation study of the Michigan Diabetes Knowledge Test adapted for use among nursing personnel.

Science.gov (United States)

Haugstvedt, Anne; Aarflot, Morten; Igland, Jannicke; Landbakk, Tilla; Graue, Marit

2016-01-01

Providing high-quality diabetes care in nursing homes and home-based care facilities requires suitable instruments to evaluate the level of diabetes knowledge among the health-care providers. Thus, the aim of this study was to examine the psychometric properties of the Michigan Diabetes Knowledge Test adapted for use among nursing personnel. The study included 127 nursing personnel (32 registered nurses, 69 nursing aides and 26 nursing assistants) at three nursing homes and one home-based care facility in Norway. We examined the reliability and content and construct validity of the Michigan Diabetes Knowledge Test. The items in both the general diabetes subscale and the insulin-use subscale were considered relevant and appropriate. The instrument showed satisfactory properties for distinguishing between groups. Item response theory-based measurements and item information curves indicate maximum information at average or lower knowledge scores. Internal consistency and the item-total correlations were quite weak, indicating that the Michigan Diabetes Knowledge Test measures a set of items related to various relevant knowledge topics but not necessarily related to each other. The Michigan Diabetes Knowledge Test measures a broad range of topics relevant to diabetes care. It is an appropriate instrument for identifying individual and distinct needs for diabetes education among nursing personnel. The knowledge gaps identified by the Michigan Diabetes Knowledge Test could also provide useful input for the content of educational activities. However, some revision of the test should be considered.

A technique for estimating 4D-CBCT using prior knowledge and limited-angle projections

International Nuclear Information System (INIS)

Zhang, You; Yin, Fang-Fang; Ren, Lei; Segars, W. Paul

2013-01-01

Purpose: To develop a technique to estimate onboard 4D-CBCT using prior information and limited-angle projections for potential 4D target verification of lung radiotherapy.Methods: Each phase of onboard 4D-CBCT is considered as a deformation from one selected phase (prior volume) of the planning 4D-CT. The deformation field maps (DFMs) are solved using a motion modeling and free-form deformation (MM-FD) technique. In the MM-FD technique, the DFMs are estimated using a motion model which is extracted from planning 4D-CT based on principal component analysis (PCA). The motion model parameters are optimized by matching the digitally reconstructed radiographs of the deformed volumes to the limited-angle onboard projections (data fidelity constraint). Afterward, the estimated DFMs are fine-tuned using a FD model based on data fidelity constraint and deformation energy minimization. The 4D digital extended-cardiac-torso phantom was used to evaluate the MM-FD technique. A lung patient with a 30 mm diameter lesion was simulated with various anatomical and respirational changes from planning 4D-CT to onboard volume, including changes of respiration amplitude, lesion size and lesion average-position, and phase shift between lesion and body respiratory cycle. The lesions were contoured in both the estimated and “ground-truth” onboard 4D-CBCT for comparison. 3D volume percentage-difference (VPD) and center-of-mass shift (COMS) were calculated to evaluate the estimation accuracy of three techniques: MM-FD, MM-only, and FD-only. Different onboard projection acquisition scenarios and projection noise levels were simulated to investigate their effects on the estimation accuracy.Results: For all simulated patient and projection acquisition scenarios, the mean VPD (±S.D.)/COMS (±S.D.) between lesions in prior images and “ground-truth” onboard images were 136.11% (±42.76%)/15.5 mm (±3.9 mm). Using orthogonal-view 15°-each scan angle, the mean VPD/COMS between the lesion

A Parallel Relational Database Management System Approach to Relevance Feedback in Information Retrieval.

Science.gov (United States)

Lundquist, Carol; Frieder, Ophir; Holmes, David O.; Grossman, David

1999-01-01

Describes a scalable, parallel, relational database-drive information retrieval engine. To support portability across a wide range of execution environments, all algorithms adhere to the SQL-92 standard. By incorporating relevance feedback algorithms, accuracy is enhanced over prior database-driven information retrieval efforts. Presents…

Firm Search for External Knowledge

DEFF Research Database (Denmark)

Sofka, Wolfgang; Grimpe, Christoph

2012-01-01

ignored the institutional context that provides or denies access to external knowledge at the country level. Combining institutional and knowledge search theory, we suggest that the market orientation of the institutional environment and the magnitude of institutional change influence when firms begin......The innovation performance of modern firms is increasingly determined by their ability to search and absorb external knowledge. However, after a certain threshold firms "oversearch" their environment and innovation performance declines. In this paper, we argue that prior literature has largely...... to experience the negative performance effects of oversearch. Based on a comprehensive sample of almost 8,000 firms from ten European countries, we find that institutions matter considerably for firms' search activity. Higher market orientation of institutions increases the effectiveness of firms' search...

Software Helps Retrieve Information Relevant to the User

Science.gov (United States)

Mathe, Natalie; Chen, James

2003-01-01

The Adaptive Indexing and Retrieval Agent (ARNIE) is a code library, designed to be used by an application program, that assists human users in retrieving desired information in a hypertext setting. Using ARNIE, the program implements a computational model for interactively learning what information each human user considers relevant in context. The model, called a "relevance network," incrementally adapts retrieved information to users individual profiles on the basis of feedback from the users regarding specific queries. The model also generalizes such knowledge for subsequent derivation of relevant references for similar queries and profiles, thereby, assisting users in filtering information by relevance. ARNIE thus enables users to categorize and share information of interest in various contexts. ARNIE encodes the relevance and structure of information in a neural network dynamically configured with a genetic algorithm. ARNIE maintains an internal database, wherein it saves associations, and from which it returns associated items in response to a query. A C++ compiler for a platform on which ARNIE will be utilized is necessary for creating the ARNIE library but is not necessary for the execution of the software.

Loyalty Programmes : Current Knowledge and Research Directions

NARCIS (Netherlands)

Dorotic, Matilda; Bijmolt, Tammo H. A.; Verhoef, Peter C.

Loyalty programmes (LPs) have increased in number and popularity, but their effects on customer behaviour remain equivocal, due to a lack of understanding of the drivers of LP effectiveness and insufficient generalizable conclusions across prior studies. This paper synthesizes current knowledge

Awareness and knowledge on modern biotechnology | Amin ...

African Journals Online (AJOL)

... to a theory on decision making, people only form attitudes about technologies when they have acquired relevant information. The purpose of this paper is to study the awareness and knowledge level of the Malaysia public in the Klang Valley region and to compare their awareness and knowledge level across stakeholder ...

Is knowledge important? Empirical research on nuclear risk communication in two countries.

Science.gov (United States)

Perko, Tanja; Zeleznik, Nadja; Turcanu, Catrinel; Thijssen, Peter

2012-06-01

Increasing audience knowledge is often set as a primary objective of risk communication efforts. But is it worthwhile focusing risk communication strategies solely on enhancing specific knowledge? The main research questions tackled in this paper were: (1) if prior audience knowledge related to specific radiation risks is influential for the perception of these risks and the acceptance of communicated messages and (2) if gender, attitudes, risk perception of other radiation risks, confidence in authorities, and living in the vicinity of nuclear/radiological installations may also play an important role in this matter. The goal of this study was to test empirically the mentioned predictors in two independent case studies in different countries. The first case study was an information campaign for iodine pre-distribution in Belgium (N = 1035). The second was the information campaign on long-term radioactive waste disposal in Slovenia (N = 1,200). In both cases, recurrent and intensive communication campaigns were carried out by the authorities aiming, among other things, at increasing specific audience knowledge. Results show that higher prior audience knowledge leads to more willingness to accept communicated messages, but it does not affect people’s perception of the specific risk communicated. In addition, the influence of prior audience knowledge on the acceptance of communicated messages is shown to be no stronger than that of general radiation risk perception. The results in both case studies suggest that effective risk communication has to focus not only on knowledge but also on other more heuristic predictors, such as risk perception or attitudes toward communicated risks.

Sports Nutrition Knowledge among Mid-Major Division I University Student-Athletes

Directory of Open Access Journals (Sweden)

Ashley Andrews

2016-01-01

Full Text Available Competitive athletes have goals to optimize performance and to maintain healthy body composition. Sports nutrition is a component of training programs often overlooked by student-athletes and their coaches. The purpose of this study was to examine student-athletes’ sports nutrition knowledge across sex, class level, team, and completion of prior nutrition coursework. Participants included 123 mid-major Division I university student-athletes (47 females and 76 males from baseball, softball, men’s soccer, track and field, and tennis. The student-athletes completed a survey questionnaire to determine adequate sports nutrition knowledge (mean ≥ 75%. The overall mean sports nutrition knowledge score for the student-athletes was 56.9% which was considered inadequate sports nutrition knowledge (mean < 75%. Only 12 student-athletes achieved adequate sports nutrition knowledge score of 75% or higher. There were no differences by sex, class level, team, and completion of prior nutrition coursework. Student-athletes’ inadequate sports nutrition knowledge may place them at nutrition risk, lead to impaired performance, and affect their lean body mass and energy levels. Athletics personnel should not assume student-athletes have adequate sports nutrition knowledge. Athletic departments may make available a board certified Sports Dietitian or Registered Dietitian and offer classroom or online courses facilitating student-athletes to optimize nutrition knowledge and behaviors.

Whose power? Whose knowledge? Tensions in collaborative production of knowledge

DEFF Research Database (Denmark)

Olesen, Birgitte Ravn

to produce long-lasting, relevant and socially robust knowledge where complexity is seen as a quality rather than a problem. Looking back at the many rich processes I have been involved in makes it clear to me how the quality of the relations which were established became crucial for the outcome......This speech is a critical, reflexive gaze on my own research practices and ideals about creating knowledge through collaboration between researchers from universities and professionals in dialogical processes. Here the aim is often to give voice to differences and dissenting meanings in order...... of the research projects In social sciences and humanities it is possible to find especially poststructuralist (and feminist) researchers who refer to a discourse about knowledge production as a messy and entangled way of extending our understanding of the world. Social and natural phenomena are recognized...

When global virtual teams share knowledge

DEFF Research Database (Denmark)

Klitmøller, Anders; Lauring, Jakob

2013-01-01

Technological developments and internationalization have made virtual communication a central part of everyday life in many larger organizations. In recent years this trend has been intensified by travel-budget cuts imposed by the global financial crisis. Accordingly, the use of virtual media...... for internal knowledge sharing is now more important than ever before. Extant studies have provided useful theories and empirical documentation on how to manage global virtual teams. However, no prior research has examined the interaction of media type with the relation between culture/language and canonical....../equivocal knowledge sharing. This is an important omission because cultural and linguistic variations are known to have a great effect on knowledge sharing. We use ethnographic field-study methodology for an exploratory examination of the effects of culture, shared language commonality and media choice on knowledge...

Effects of Prior Experience on Shelter-Seeking Behavior of Juvenile American Lobsters.

Science.gov (United States)

Bayer, Skylar R; Bianchi, Katherine M; Atema, Jelle; Jacobs, Molly W

2017-04-01

Shelter-seeking behaviors are vital for survival for a range of juvenile benthic organisms. These behaviors may be innate or they may be affected by prior experience. After hatching, American lobsters Homarus americanus likely first come into contact with shelter during the late postlarval (decapodid) stage, known as stage IV. After the subsequent molt to the first juvenile stage (stage V), they are entirely benthic and are thought to be highly cryptic. We hypothesized that postlarval (stage IV) experience with shelter would carry over into the first juvenile stage (stage V) and reduce the time needed for juveniles to locate and enter shelters (sheltering). We found some evidence of a carryover effect, but not the one we predicted: stage V juveniles with postlarval shelter experience took significantly longer to initiate sheltering. We also hypothesized that stage V juveniles would demonstrate learning by relocating shelters more quickly with immediate prior experience. Our findings were mixed. In a maze, juveniles with immediate prior experience were faster to regain visual contact with shelter, suggesting that they had learned the location of the shelter. In contrast, there was no significant effect of immediate prior experience on time to initiate sheltering in an open arena, or in the maze after juveniles had regained visual contact. We conclude that very young (stage V) juvenile lobsters modify their shelter-seeking behavior based on prior experiences across several timescales. Ecologically relevant variation in habitat exposure among postlarval and early juvenile lobsters may influence successful recruitment in this culturally and commercially important fishery species.

Knowledge in health technology assessment

DEFF Research Database (Denmark)

Tjørnhøj-Thomsen, Tine; Hansen, Helle Ploug

2011-01-01

Health systems are placing more and more emphasis on designing and delivering services that are focused on the patient, and there is a growing interest in patient aspects of health policy research and health technology assessment (HTA). Only a few HTA agencies use and invest in scientific methods...... to generate knowledge and evidence about the patient aspects of a given technology. This raises questions about how knowledge is produced in HTA reports and what kind of knowledge is considered relevant. This article uses a Danish HTA on patient education from 2009 as empirical material for a critical...

Supporting Multimedia Learning with Visual Signalling and Animated Pedagogical Agent: Moderating Effects of Prior Knowledge

Science.gov (United States)

Johnson, A. M.; Ozogul, G.; Reisslein, M.

2015-01-01

An experiment examined the effects of visual signalling to relevant information in multiple external representations and the visual presence of an animated pedagogical agent (APA). Students learned electric circuit analysis using a computer-based learning environment that included Cartesian graphs, equations and electric circuit diagrams. The…

Knowledge Organization: A Sociohistorical Analysis and Critique

Science.gov (United States)

Andersen, Jack; Skouvig, Laura

2006-01-01

In this article, the authors examine the discipline of knowledge organization by harnessing the theories of Michel Foucault and Jurgen Habermas. The argument is that knowledge organization is not just a question of improved technology; as an academic discipline, it has to define and legitimize its relevance for society. The authors use the…

Connecting Learning: Brain-Based Strategies for Linking Prior Knowledge in the Library Media Center

Science.gov (United States)

Vanderbilt, Kathi L.

2005-01-01

The brain is a complex organ and learning is a complex process. While there is not complete agreement among researchers about brain-based learning and its direct connection to neuroscience, knowledge about the brain as well as the examination of cognitive psychology, anthropology, professional experience, and educational research can provide…

Community-based knowledge translation: unexplored opportunities

Directory of Open Access Journals (Sweden)

Armstrong Rebecca

2011-06-01

Full Text Available Abstract Background Knowledge translation is an interactive process of knowledge exchange between health researchers and knowledge users. Given that the health system is broad in scope, it is important to reflect on how definitions and applications of knowledge translation might differ by setting and focus. Community-based organizations and their practitioners share common characteristics related to their setting, the evidence used in this setting, and anticipated outcomes that are not, in our experience, satisfactorily reflected in current knowledge translation approaches, frameworks, or tools. Discussion Community-based organizations face a distinctive set of challenges and concerns related to engaging in the knowledge translation process, suggesting a unique perspective on knowledge translation in these settings. Specifically, community-based organizations tend to value the process of working in collaboration with multi-sector stakeholders in order to achieve an outcome. A feature of such community-based collaborations is the way in which 'evidence' is conceptualized or defined by these partners, which may in turn influence the degree to which generalizable research evidence in particular is relevant and useful when balanced against more contextually-informed knowledge, such as tacit knowledge. Related to the issues of evidence and context is the desire for local information. For knowledge translation researchers, developing processes to assist community-based organizations to adapt research findings to local circumstances may be the most helpful way to advance decision making in this area. A final characteristic shared by community-based organizations is involvement in advocacy activities, a function that has been virtually ignored in traditional knowledge translation approaches. Summary This commentary is intended to stimulate further discussion in the area of community-based knowledge translation. Knowledge translation, and exchange

From science to action: Principles for undertaking environmental research that enables knowledge exchange and evidence-based decision-making.

Science.gov (United States)

Cvitanovic, C; McDonald, J; Hobday, A J

2016-12-01

Effective conservation requires knowledge exchange among scientists and decision-makers to enable learning and support evidence-based decision-making. Efforts to improve knowledge exchange have been hindered by a paucity of empirically-grounded guidance to help scientists and practitioners design and implement research programs that actively facilitate knowledge exchange. To address this, we evaluated the Ningaloo Research Program (NRP), which was designed to generate new scientific knowledge to support evidence-based decisions about the management of the Ningaloo Marine Park in north-western Australia. Specifically, we evaluated (1) outcomes of the NRP, including the extent to which new knowledge informed management decisions; (2) the barriers that prevented knowledge exchange among scientists and managers; (3) the key requirements for improving knowledge exchange processes in the future; and (4) the core capacities that are required to support knowledge exchange processes. While the NRP generated expansive and multidisciplinary science outputs directly relevant to the management of the Ningaloo Marine Park, decision-makers are largely unaware of this knowledge and little has been integrated into decision-making processes. A range of barriers prevented efficient and effective knowledge exchange among scientists and decision-makers including cultural differences among the groups, institutional barriers within decision-making agencies, scientific outputs that were not translated for decision-makers and poor alignment between research design and actual knowledge needs. We identify a set of principles to be implemented routinely as part of any applied research program, including; (i) stakeholder mapping prior to the commencement of research programs to identify all stakeholders, (ii) research questions to be co-developed with stakeholders, (iii) implementation of participatory research approaches, (iv) use of a knowledge broker, and (v) tailored knowledge management

Scoring relevancy of features based on combinatorial analysis of Lasso with application to lymphoma diagnosis

Directory of Open Access Journals (Sweden)

Zare Habil

2013-01-01

Full Text Available Abstract One challenge in applying bioinformatic tools to clinical or biological data is high number of features that might be provided to the learning algorithm without any prior knowledge on which ones should be used. In such applications, the number of features can drastically exceed the number of training instances which is often limited by the number of available samples for the study. The Lasso is one of many regularization methods that have been developed to prevent overfitting and improve prediction performance in high-dimensional settings. In this paper, we propose a novel algorithm for feature selection based on the Lasso and our hypothesis is that defining a scoring scheme that measures the "quality" of each feature can provide a more robust feature selection method. Our approach is to generate several samples from the training data by bootstrapping, determine the best relevance-ordering of the features for each sample, and finally combine these relevance-orderings to select highly relevant features. In addition to the theoretical analysis of our feature scoring scheme, we provided empirical evaluations on six real datasets from different fields to confirm the superiority of our method in exploratory data analysis and prediction performance. For example, we applied FeaLect, our feature scoring algorithm, to a lymphoma dataset, and according to a human expert, our method led to selecting more meaningful features than those commonly used in the clinics. This case study built a basis for discovering interesting new criteria for lymphoma diagnosis. Furthermore, to facilitate the use of our algorithm in other applications, the source code that implements our algorithm was released as FeaLect, a documented R package in CRAN.

"The Teacher Is an Octopus": Uncovering Preservice English Language Teachers' Prior Beliefs through Metaphor Analysis

Science.gov (United States)

Farrell, Thomas S. C.

2006-01-01

Preservice teachers come to any teacher education course with prior experiences, knowledge and beliefs about learning and teaching. Additionally, the belief systems of preservice teachers often serve as a lens through which they view the content of the teacher education program. Consequently, it is essential that teacher educators take these prior…

Measuring process and knowledge consistency

DEFF Research Database (Denmark)

Edwards, Kasper; Jensen, Klaes Ladeby; Haug, Anders

2007-01-01

When implementing configuration systems, knowledge about products and processes are documented and replicated in the configuration system. This practice assumes that products are specified consistently i.e. on the same rule base and likewise for processes. However, consistency cannot be taken...... for granted; rather the contrary, and attempting to implement a configuration system may easily ignite a political battle. This is because stakes are high in the sense that the rules and processes chosen may only reflect one part of the practice, ignoring a majority of the employees. To avoid this situation......, this paper presents a methodology for measuring product and process consistency prior to implementing a configuration system. The methodology consists of two parts: 1) measuring knowledge consistency and 2) measuring process consistency. Knowledge consistency is measured by developing a questionnaire...

The Persistence of Prior Concepts about Electric Potential, Current Intensity and Ohm’s Law in Students of Engineering

Directory of Open Access Journals (Sweden)

María Cristina Periago

2005-11-01

Full Text Available The aim of this research was to evaluate and analyze second-year industrial-engineering and chemical-engineering students’ prior knowledge of conceptual aspects of circuit theory. Specifically, we have focused on the basic concepts of electric potential and current intensity and on the fundamental relationship between these as expressed by Ohm’s Law. In order to find out what the students’ prior concepts were, we applied a survey containing nine questions dealing with the most basic concepts of circuit theory. Let us emphasize that there was little information available about the prior concepts of the population type (university students investigated in this research.

Generalization of motor learning depends on the history of prior action.

Directory of Open Access Journals (Sweden)

John W Krakauer

2006-10-01

Full Text Available Generalization of motor learning refers to our ability to apply what has been learned in one context to other contexts. When generalization is beneficial, it is termed transfer, and when it is detrimental, it is termed interference. Insight into the mechanism of generalization may be acquired from understanding why training transfers in some contexts but not others. However, identifying relevant contextual cues has proven surprisingly difficult, perhaps because the search has mainly been for cues that are explicit. We hypothesized instead that a relevant contextual cue is an implicit memory of action with a particular body part. To test this hypothesis we considered a task in which participants learned to control motion of a cursor under visuomotor rotation in two contexts: by moving their hand through motion of their shoulder and elbow, or through motion of their wrist. Use of these contextual cues led to three observations: First, in naive participants, learning in the wrist context was much faster than in the arm context. Second, generalization was asymmetric so that arm training benefited subsequent wrist training, but not vice versa. Third, in people who had prior wrist training, generalization from the arm to the wrist was blocked. That is, prior wrist training appeared to prevent both the interference and transfer that subsequent arm training should have caused. To explain the data, we posited that the learner collected statistics of contextual history: all upper arm movements also move the hand, but occasionally we move our hands without moving the upper arm. In a Bayesian framework, history of limb segment use strongly affects parameter uncertainty, which is a measure of the covariance of the contextual cues. This simple Bayesian prior dictated a generalization pattern that largely reproduced all three findings. For motor learning, generalization depends on context, which is determined by the statistics of how we have previously used

Identity, Knowledge and Participation: Health Theatre for Children

Science.gov (United States)

Grabowski, Dan

2013-01-01

Purpose: The main aim of the paper is to explore whether health theatre as a school-based health promotion initiative communicates relevant health knowledge to children and the interrelated processes of identity development, knowledge acquisition and participation. Development of the definition of "health identity" was a subsidiary…

Study on the knowledge base system for the identification of typical target

International Nuclear Information System (INIS)

Qin Kai; Zhao Yingjun

2008-01-01

Based on the research on target knowledge base, target database, texture analysis, shape analysis, this paper proposed a new knowledge based method for typical target identification from remote sensing image. By extracting the texture characters and shape characters, joining with spatial analysis in GIS, reasoning according to the prior knowledge in the knowledge base, this method can identify and ex- tract typical target from remote sensing images. (authors)

A Simulation of Pell Grant Awards and Costs Using Prior-Prior Year Financial Data

Science.gov (United States)

Kelchen, Robert; Jones, Gigi

2015-01-01

We examine the likely implications of switching from a prior year (PY) financial aid system, the current practice in which students file the Free Application for Federal Student Aid (FAFSA) using income data from the previous tax year, to prior-prior year (PPY), in which data from two years before enrollment is used. While PPY allows students to…

Knowledge management in the learning economy

DEFF Research Database (Denmark)

Lundvall, Bengt-Åke

organisation, are more innovative than the average firm. The paper contributes to the empirical foundation for the argument that learning organisations stimulate innovation and competence building and it makes an original conceptual contribution of practical relevance by linking knowledge management to HRM......The purpose of this paper is to show why to build ‘learning organisations' must be a central element of knowledge management. The paper argues that the wide use of information technology has a contradictory impact on knowledge management. On the one hand it extends the potential for codifying...... and innovation management....

Design knowledge management using configuration manager

International Nuclear Information System (INIS)

Kang, Mu Jin; Jung, Seung Hwan

2000-01-01

It is known that about 15 to 40 percent of total design time is spent on retrieving information such as standard parts, handbook data, engineering equations, previous designs. This paper describes a knowledge management system for machine tool design. Product structuring, change management, and complex design knowledge management are possible through the developed system. The system can speed up the design process by making necessary data instantly available as it is needed and keeping of all the relevant design information and knowledge including individual decisions, design intentions, documents, and drawings

Recognition of Knowledge and Skills at Work: In Whose Interests?

Science.gov (United States)

Berglund, Leif; Andersson, Per

2012-01-01

Purpose: Work-place learning takes place in many settings and in different ways, resulting in knowledge and skills of different kinds. The recognition process in the work place is however often implicit and seldom discussed in terms of recognition of prior learning (RPL). The aim of this paper is to give examples of how the knowledge/skills of…

The Impact of Nursing Students' Prior Chemistry Experience on Academic Performance and Perception of Relevance in a Health Science Course

Science.gov (United States)

Boddey, Kerrie; de Berg, Kevin

2015-01-01

Nursing students have typically found the study of chemistry to be one of their major challenges in a nursing course. This mixed method study was designed to explore how prior experiences in chemistry might impact chemistry achievement during a health science unit. Nursing students (N = 101) studying chemistry as part of a health science unit were…

Relevant factors for tacit knowledge transfer within organizations: an exploratory study Fatores relevantes à transferência de conhecimento tácito em organizações: um estudo exploratório

Directory of Open Access Journals (Sweden)

Bernardo Lemos

2012-01-01

Full Text Available Knowledge and management of such knowledge have been studied for some time now in the field of Management. However, in the 1990s, with the growth in the economy based on intangible assets, companies needed more than an unstructured approach to corporate knowledge management to succeed in this new competitive environment. Therefore, this article aims to identify, in an exploratory way, the relevant factors for tacit knowledge transfer within a major Brazilian oil company trough a case study. This study reviews the literature concerning tacit knowledge transfer within organizations, and using a quantitative approach based on exploratory factorial analysis, it collects facts in order to identify the relevant factors for tacit knowledge transfer within the organization under study. It can be said that idiosyncratic factors, the knowledge management strategy adopted by the company, and its organizational structure are the critical elements for the success of tacit knowledge transfer within the organization under analysis. Finally, three propositions arising from the results obtained are then consolidated and presented in order that they may be tested in a future explanatory study and the research limitation are unveiled.O conhecimento tem sido estudado há bastante tempo dentro da área de Gestão. Entretanto, a partir da década de 1990, com o crescimento da economia baseada em ativos intangíveis, as empresas passaram a preocupar-se com o conhecimento existente em suas organizações, assim como com o seu gerenciamento. Assim, o objetivo deste trabalho é identificar, exploratoriamente, por meio de um estudo de caso, quais são os fatores relevantes à transferência de conhecimento tácito em uma grande empresa petrolífera brasileira. A presente pesquisa analisa parte relevante da bibliografia acerca da transferência de conhecimento tácito em organiza��ões e, usando abordagem quantitativa baseada em análise fatorial exploratória, coleta

Oral health knowledge of pregnant women. Systematic review

OpenAIRE

María José Aguilar-Cordero; Tania Rivero-Blanco; Norma Mur-Villar; Raquel Rodríguez-Blanque; María Dolores Moraleda-Hurtado; Luis Emilio Fernández-Curbero; Antonio Manuel Sánchez-López

2018-01-01

Introduction: The oral health of pregnant women depends on the knowledge, attitudes and behaviors learned prior to pregnancy. Research shows that the most frequent and specific problem encountered during this period, which continues during lactation, is gestational gingivitis, that is, inflammation of the gums. Therefore, the knowledge that the pregnant woman has about these alterations is essential, not only to prevent them, but for the consequences that can have during pregnancy, childbirth...

Subjective knowledge of AIDS and use of HIV testing.

Science.gov (United States)

Phillips, K A

1993-10-01

Increasing knowledge is an important goal of human immunodeficiency virus (HIV) prevention strategies, although increased knowledge may not be associated with increased preventive behaviors. This study examines the association of (1) objective and subjective acquired immunodeficiency syndrome (AIDS) knowledge, and (2) both objective and subjective AIDS knowledge with HIV testing use. Data are from the 1988 National Health Interview Survey. Objective and subjective knowledge were only moderately correlated. In regression analyses, higher subjective knowledge was significantly associated with higher testing use, but objective knowledge was not. The results are relevant to other preventive behaviors for which knowledge is an important factor.

Metal Artifact Reduction in X-ray Computed Tomography Using Computer-Aided Design Data of Implants as Prior Information.

Science.gov (United States)

Ruth, Veikko; Kolditz, Daniel; Steiding, Christian; Kalender, Willi A

2017-06-01

The performance of metal artifact reduction (MAR) methods in x-ray computed tomography (CT) suffers from incorrect identification of metallic implants in the artifact-affected volumetric images. The aim of this study was to investigate potential improvements of state-of-the-art MAR methods by using prior information on geometry and material of the implant. The influence of a novel prior knowledge-based segmentation (PS) compared with threshold-based segmentation (TS) on 2 MAR methods (linear interpolation [LI] and normalized-MAR [NORMAR]) was investigated. The segmentation is the initial step of both MAR methods. Prior knowledge-based segmentation uses 3-dimensional registered computer-aided design (CAD) data as prior knowledge to estimate the correct position and orientation of the metallic objects. Threshold-based segmentation uses an adaptive threshold to identify metal. Subsequently, for LI and NORMAR, the selected voxels are projected into the raw data domain to mark metal areas. Attenuation values in these areas are replaced by different interpolation schemes followed by a second reconstruction. Finally, the previously selected metal voxels are replaced by the metal voxels determined by PS or TS in the initial reconstruction. First, we investigated in an elaborate phantom study if the knowledge of the exact implant shape extracted from the CAD data provided by the manufacturer of the implant can improve the MAR result. Second, the leg of a human cadaver was scanned using a clinical CT system before and after the implantation of an artificial knee joint. The results were compared regarding segmentation accuracy, CT number accuracy, and the restoration of distorted structures. The use of PS improved the efficacy of LI and NORMAR compared with TS. Artifacts caused by insufficient segmentation were reduced, and additional information was made available within the projection data. The estimation of the implant shape was more exact and not dependent on a threshold

Exploring Contraceptive Knowledge and Use among Women ...

African Journals Online (AJOL)

Using a qualitative research methodology, twenty-four semi-structured interviews were conducted with women with induced abortion experiences at Korle Bu and Tema Hospitals in the Greater Accra Region, Ghana. Results suggest that these women tended not to have knowledge of contraceptive methods prior to the ...

Knowledge Management and Innovation Policies

Directory of Open Access Journals (Sweden)

Jhonny Antonio Pabón Cadavid

2016-12-01

Full Text Available Implementation of knowledge management strategies and administration of intellectual capital defines the effectiveness of national innovation policies. This article analyses the intersection between national policies and organizational strategies to transfer value to the economy and society. It studies the recent scholarship related to this intersection. The article introduces and defines the main concepts that are relevant for the understanding of the topic. The article stresses that democratization of education and knowledge production should be part of the analysis of innovation models. The importance of intellectual capital valuation is highlighted with special emphasis on national and organizational policies regarding human capital, knowledge assets and education.

Knowledge-Based Topic Model for Unsupervised Object Discovery and Localization.

Science.gov (United States)

Niu, Zhenxing; Hua, Gang; Wang, Le; Gao, Xinbo

Unsupervised object discovery and localization is to discover some dominant object classes and localize all of object instances from a given image collection without any supervision. Previous work has attempted to tackle this problem with vanilla topic models, such as latent Dirichlet allocation (LDA). However, in those methods no prior knowledge for the given image collection is exploited to facilitate object discovery. On the other hand, the topic models used in those methods suffer from the topic coherence issue-some inferred topics do not have clear meaning, which limits the final performance of object discovery. In this paper, prior knowledge in terms of the so-called must-links are exploited from Web images on the Internet. Furthermore, a novel knowledge-based topic model, called LDA with mixture of Dirichlet trees, is proposed to incorporate the must-links into topic modeling for object discovery. In particular, to better deal with the polysemy phenomenon of visual words, the must-link is re-defined as that one must-link only constrains one or some topic(s) instead of all topics, which leads to significantly improved topic coherence. Moreover, the must-links are built and grouped with respect to specific object classes, thus the must-links in our approach are semantic-specific , which allows to more efficiently exploit discriminative prior knowledge from Web images. Extensive experiments validated the efficiency of our proposed approach on several data sets. It is shown that our method significantly improves topic coherence and outperforms the unsupervised methods for object discovery and localization. In addition, compared with discriminative methods, the naturally existing object classes in the given image collection can be subtly discovered, which makes our approach well suited for realistic applications of unsupervised object discovery.Unsupervised object discovery and localization is to discover some dominant object classes and localize all of object

Knowledge does not protect against illusory truth.

Science.gov (United States)

Fazio, Lisa K; Brashier, Nadia M; Payne, B Keith; Marsh, Elizabeth J

2015-10-01

In daily life, we frequently encounter false claims in the form of consumer advertisements, political propaganda, and rumors. Repetition may be one way that insidious misconceptions, such as the belief that vitamin C prevents the common cold, enter our knowledge base. Research on the illusory truth effect demonstrates that repeated statements are easier to process, and subsequently perceived to be more truthful, than new statements. The prevailing assumption in the literature has been that knowledge constrains this effect (i.e., repeating the statement "The Atlantic Ocean is the largest ocean on Earth" will not make you believe it). We tested this assumption using both normed estimates of knowledge and individuals' demonstrated knowledge on a postexperimental knowledge check (Experiment 1). Contrary to prior suppositions, illusory truth effects occurred even when participants knew better. Multinomial modeling demonstrated that participants sometimes rely on fluency even if knowledge is also available to them (Experiment 2). Thus, participants demonstrated knowledge neglect, or the failure to rely on stored knowledge, in the face of fluent processing experiences. (c) 2015 APA, all rights reserved).

What's past is past: Neither perceptual preactivation nor prior motivational relevance decrease subsequent inattentional blindness.

Science.gov (United States)

Kreitz, Carina; Schnuerch, Robert; Furley, Philip A; Memmert, Daniel

2018-03-01

Inattentional blindness-the phenomenon that clearly visible, yet currently unexpected objects go unnoticed when our attention is focused elsewhere-is an ecologically valid failure of awareness. It is currently subject to debate whether previous events and experiences determine whether or not inattentional blindness occurs. Using a simple two-phase paradigm in the present study, we found that the likelihood of missing an unexpected object due to inattention did not change when its defining characteristic (its color) was perceptually preactivated (Experiment 1; N = 188). Likewise, noticing rates were not significantly reduced if the object's color was previously motivationally relevant during an unrelated detection task (Experiment 2; N = 184). These results corroborate and extend recent findings questioning the influence of previous experience on subsequent inattentional blindness. This has implications for possible countermeasures intended to thwart the potentially harmful effects of inattention. Copyright © 2018 Elsevier Inc. All rights reserved.

Radiologic evaluation of the horse relevant to purchase

International Nuclear Information System (INIS)

Poulos, P.W. Jr.

1992-01-01

Adequate radiographic evaluation of the horse relevant to purchase examination requires the successful integration of technique, interpretation, and reporting. A thorough knowledge of lameness and disease can be masked by incorrect interpretation resulting from poor-quality films or an incomplete examination. Thus, care must be taken to produce an adequate number of high-quality films on which to base a report, which allows you to describe changes that are present. This information, coupled with your physical examination, other laboratory data, and the knowledge of the expressed use of the horse will allow you to advise prospective owners on the decision that they will ultimately make

A Bayesian approach to PET reconstruction using image-modeling Gibbs priors: Implementation and comparison

International Nuclear Information System (INIS)

Chan, M.T.; Herman, G.T.; Levitan, E.

1996-01-01

We demonstrate that (i) classical methods of image reconstruction from projections can be improved upon by considering the output of such a method as a distorted version of the original image and applying a Bayesian approach to estimate from it the original image (based on a model of distortion and on a Gibbs distribution as the prior) and (ii) by selecting an open-quotes image-modelingclose quotes prior distribution (i.e., one which is such that it is likely that a random sample from it shares important characteristics of the images of the application area) one can improve over another Gibbs prior formulated using only pairwise interactions. We illustrate our approach using simulated Positron Emission Tomography (PET) data from realistic brain phantoms. Since algorithm performance ultimately depends on the diagnostic task being performed. we examine a number of different medically relevant figures of merit to give a fair comparison. Based on a training-and-testing evaluation strategy, we demonstrate that statistically significant improvements can be obtained using the proposed approach

How Big Data Reshapes Knowledge for International Development

DEFF Research Database (Denmark)

Flyverbom, Mikkel; Madsen, Anders Koed; Rasche, Andreas

The aim of this paper is conceptualize and illustrate how large-scale data and algorithms condition and reshape knowledge production when addressing international development challenges. Based on a review of relevant literature on the uses of big data in the context of development, we unpack how...... digital traces from cell phone data, social media data or data from internet searches are used as sources of knowledge in this area. We draw on insights from governmentality studies and argue that big data’s impact on how relevant development problems are governed revolves around (1) new techniques...... of visualizing development issues, (2) a reliance on algorithmic operations that synthesize large-scale data, (3) and novel ways of rationalizing the knowledge claims that underlie development efforts. Our discussion shows that the reliance on big data challenges some aspects of traditional ways to collect...

Experience as Knowledge in a New Product Development Team: Implications for Knowledge Management

Science.gov (United States)

Cooper, Lynne P.

2009-01-01

This study was conducted to better understand how New Product Development (NPD) team members apply their experiences to meet the task needs of their project. Although "experience" is highly valued in team members, little research has looked specifically at experiences as a type of knowledge, and how this knowledge is used in work settings. This research evaluated nearly 200 instances where team members referenced past experiences during team meetings. During these experience exchanges, team members structured the sharing of their experiences to include three common elements: the source of the experience, the nature of the experience, and the degree of relevance to the current work of the team. The experiences fell into four categories: people (relationships), process, product, and politics. This paper describes how team members structured, applied, and integrated their individual experiences and presents the resulting implications for knowledge management systems that wish to exploit experience knowledge.

Technology, Innovation and Knowledge

DEFF Research Database (Denmark)

Andersson, Ulf; Dasi, Angels; Mudambi, Ram

2016-01-01

The relevance of ideas is at the core of the IB field and has been captured in concepts like technology, innovation and knowledge. While these concepts have evolved over the last decades, the point that the ideas and the international connectivity are central for IB remains genuine. This paper...... is an attempt to take stock of the evolution of the concepts technology, innovation and knowledge in IB literature along the past five decades with a particular focus on the role of the Columbia Journal of World Business (CJWB) and the Journal of World Business (JWB) in this evolution. Likewise, our objective...

Knowledge management in the engineering design environment

Science.gov (United States)

Briggs, Hugh C.

2006-01-01

The Aerospace and Defense industry is experiencing an increasing loss of knowledge through workforce reductions associated with business consolidation and retirement of senior personnel. Significant effort is being placed on process definition as part of ISO certification and, more recently, CMMI certification. The process knowledge in these efforts represents the simplest of engineering knowledge and many organizations are trying to get senior engineers to write more significant guidelines, best practices and design manuals. A new generation of design software, known as Product Lifecycle Management systems, has many mechanisms for capturing and deploying a wider variety of engineering knowledge than simple process definitions. These hold the promise of significant improvements through reuse of prior designs, codification of practices in workflows, and placement of detailed how-tos at the point of application.

Knowledge-based driver assistance systems traffic situation description and situation feature relevance

CERN Document Server

Huelsen, Michael

2014-01-01

The comprehension of a traffic situation plays a major role in driving a vehicle. Interpretable information forms a basis for future projection, decision making and action performing, such as navigating, maneuvering and driving control. Michael Huelsen provides an ontology-based generic traffic situation description capable of supplying various advanced driver assistance systems with relevant information about the current traffic situation of a vehicle and its environment. These systems are enabled to perform reasonable actions and approach visionary goals such as injury and accident free driv

Why relevance theory is relevant for lexicography

DEFF Research Database (Denmark)

Bothma, Theo; Tarp, Sven

2014-01-01

This article starts by providing a brief summary of relevance theory in information science in relation to the function theory of lexicography, explaining the different types of relevance, viz. objective system relevance and the subjective types of relevance, i.e. topical, cognitive, situational...... that is very important for lexicography as well as for information science, viz. functional relevance. Since all lexicographic work is ultimately aimed at satisfying users’ information needs, the article then discusses why the lexicographer should take note of all these types of relevance when planning a new...... dictionary project, identifying new tasks and responsibilities of the modern lexicographer. The article furthermore discusses how relevance theory impacts on teaching dictionary culture and reference skills. By integrating insights from lexicography and information science, the article contributes to new...

On the different "worlds" of intra-organizational knowledge management: Understanding idiosyncratic variation in MNC cross-site knowledge-sharing practices.

Science.gov (United States)

Kasper, Helmut; Lehrer, Mark; Mühlbacher, Jürgen; Müller, Barbara

2013-02-01

This qualitative field study investigated cross-site knowledge sharing in a small sample of multinational corporations in three different MNC business contexts (global, multidomestic, transnational). The results disclose heterogeneous "worlds" of MNC knowledge sharing, ultimately raising the question as to whether the whole concept of MNC knowledge sharing covers a sufficiently unitary phenomenon to be meaningful. We derive a non-exhaustive typology of MNC knowledge-sharing practices: self-organizing knowledge sharing, technocratic knowledge sharing, and best practice knowledge sharing. Despite its limitations, this typology helps to elucidate a number of issues, including the latent conflict between two disparate theories of MNC knowledge sharing, namely "sender-receiver" and "social learning" theories (Noorderhaven & Harzing, 2009). More generally, we develop the term "knowledge contextualization" to highlight the way that firm-specific organizational features pre-define which knowledge is considered to be of special relevance for intra-organizational sharing.

Incorporating prior knowledge into beam orientation optimization in IMRT

International Nuclear Information System (INIS)

Pugachev, Andrei M.S.; Lei Xing

2002-01-01

Purpose: Selection of beam configuration in currently available intensity-modulated radiotherapy (IMRT) treatment planning systems is still based on trial-and-error search. Computer beam orientation optimization has the potential to improve the situation, but its practical implementation is hindered by the excessive computing time associated with the calculation. The purpose of this work is to provide an effective means to speed up the beam orientation optimization by incorporating a priori geometric and dosimetric knowledge of the system and to demonstrate the utility of the new algorithm for beam placement in IMRT. Methods and Materials: Beam orientation optimization was performed in two steps. First, the quality of each possible beam orientation was evaluated using beam's-eye-view dosimetrics (BEVD) developed in our previous study. A simulated annealing algorithm was then employed to search for the optimal set of beam orientations, taking into account the BEVD scores of different incident beam directions. During the calculation, sampling of gantry angles was weighted according to the BEVD score computed before the optimization. A beam direction with a higher BEVD score had a higher probability of being included in the trial configuration, and vice versa. The inclusion of the BEVD weighting in the stochastic beam angle sampling process made it possible to avoid spending valuable computing time unnecessarily at 'bad' beam angles. An iterative inverse treatment planning algorithm was used for beam intensity profile optimization during the optimization process. The BEVD-guided beam orientation optimization was applied to an IMRT treatment of paraspinal tumor. The advantage of the new optimization algorithm was demonstrated by comparing the calculation with the conventional scheme without the BEVD weighting in the beam sampling. Results: The BEVD tool provided useful guidance for the selection of the potentially good directions for the beams to incident and was used

Identifying public health competencies relevant to family medicine.

Science.gov (United States)

Harvey, Bart J; Moloughney, Brent W; Iglar, Karl T

2011-10-01

Public health situations faced by family physicians and other primary care practitioners, such as severe acute respiratory syndrome (SARS) and more recently H1N1, have resulted in an increased interest to identify the public health competencies relevant to family medicine. At present there is no agreed-on set of public health competencies delineating the knowledge and skills that family physicians should possess to effectively face diverse public health challenges. Using a multi-staged, iterative process that included a detailed literature review, the authors developed a set of public health competencies relevant to primary care, identifying competencies relevant across four levels, from "post-MD" to "enhanced." Feedback from family medicine and public health educator-practitioners regarding the set of proposed "essential" competencies indicated the need for a more limited, feasible set of "priority" areas to be highlighted during residency training. This focused set of public health competencies has begun to guide relevant components of the University of Toronto's Family Medicine Residency Program curriculum, including academic half-days; clinical experiences, especially identifying "teachable moments" during patient encounters; resident academic projects; and elective public health agency placements. These competencies will also be used to guide the development of a family medicine-public health primer and faculty development sessions to support family medicine faculty facilitating residents to achieve these competencies. Once more fully implemented, an evaluation will be initiated to determine the degree to which these public health competencies are being achieved by family medicine graduates, especially whether they attained the knowledge, skills, and confidence necessary to effectively face diverse public health situations-from common to emergent. Copyright © 2011 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

Intended R&D Knowledge Spillover - Strategy for Innovation Leadership

DEFF Research Database (Denmark)

Harryson, Sigvald; Søberg, Peder Veng

2009-01-01

, inhibit companies striving for innovation leadership. In our enquiry into R&D knowledge spillover effects on innovation, we develop case studies from Fastcar and Bigpack. The resulting theoretical framework, built on selected networking and knowledge creation theories, is illustrated through the two case...... studies and useful for further analysis of positive R&D knowledge spillover effects. By proactively facilitating knowledge sharing with relevant parts of the surrounding environment, the company enables itself to feed knowledge into its surrounding environment - thereby developing the innovation potential...

Improved compressed sensing-based cone-beam CT reconstruction using adaptive prior image constraints

Science.gov (United States)

Lee, Ho; Xing, Lei; Davidi, Ran; Li, Ruijiang; Qian, Jianguo; Lee, Rena

2012-04-01

Volumetric cone-beam CT (CBCT) images are acquired repeatedly during a course of radiation therapy and a natural question to ask is whether CBCT images obtained earlier in the process can be utilized as prior knowledge to reduce patient imaging dose in subsequent scans. The purpose of this work is to develop an adaptive prior image constrained compressed sensing (APICCS) method to solve this problem. Reconstructed images using full projections are taken on the first day of radiation therapy treatment and are used as prior images. The subsequent scans are acquired using a protocol of sparse projections. In the proposed APICCS algorithm, the prior images are utilized as an initial guess and are incorporated into the objective function in the compressed sensing (CS)-based iterative reconstruction process. Furthermore, the prior information is employed to detect any possible mismatched regions between the prior and current images for improved reconstruction. For this purpose, the prior images and the reconstructed images are classified into three anatomical regions: air, soft tissue and bone. Mismatched regions are identified by local differences of the corresponding groups in the two classified sets of images. A distance transformation is then introduced to convert the information into an adaptive voxel-dependent relaxation map. In constructing the relaxation map, the matched regions (unchanged anatomy) between the prior and current images are assigned with smaller weight values, which are translated into less influence on the CS iterative reconstruction process. On the other hand, the mismatched regions (changed anatomy) are associated with larger values and the regions are updated more by the new projection data, thus avoiding any possible adverse effects of prior images. The APICCS approach was systematically assessed by using patient data acquired under standard and low-dose protocols for qualitative and quantitative comparisons. The APICCS method provides an

Bridging the Nagoya Compliance Gap: The Fundamental Role of Customary Law in Protection of Indigenous Peoples’ Resource and Knowledge Rights

Directory of Open Access Journals (Sweden)

Brendan M. Tobin

2013-09-01

Full Text Available The Nagoya Protocol requires states to ensure that access to and use of genetic resources and traditional knowledge of Indigenous peoples and local communities is subject to their prior informed consent (PIC. It also requires states to take into consideration their customary laws. However, it lacks effective compliance mechanisms, a gap exposed in draft European legislation that sidesteps the Nagoya Protocol’s obligations regarding PIC and customary law, leaving traditional knowledge largely unprotected. This article examines the status of customary law under international, regional and national law, and the challenges and opportunities for securing recognition of its role in the protection of traditional knowledge. The article contends that all commercial and development activities with the potential to impact on Nagoya Protocol rights will in the future need to ensure compliance with relevant customary law. It finds state reluctance to adopt measures to ensure consideration of customary law shortsighted and likely to lead to increased litigation. It concludes that customary law has a key role to play in closing the Nagoya compliance gap but to do so it will need to be supported by enforcement mechanisms such as disclosure of origin regimes in intellectual property law.

Chromosomal differences between acute nonlymphocytic leukemia in patients with prior solid tumors and prior hematologic malignancies. A study of 14 cases with prior breast cancer

International Nuclear Information System (INIS)

Mamuris, Z.; Dumont, J.; Dutrillaux, B.; Aurias, A.

1989-01-01

A cytogenetic study of 14 patients with secondary acute nonlymphocytic leukemia (S-ANLL) with prior treatment for breast cancer is reported. The chromosomes recurrently involved in numerical or structural anomalies are chromosomes 7, 5, 17, and 11, in decreasing order of frequency. The distribution of the anomalies detected in this sample of patients is similar to that observed in published cases with prior breast or other solid tumors, though anomalies of chromosome 11 were not pointed out, but it significantly differs from that of the S-ANLL with prior hematologic malignancies. This difference is principally due to a higher involvement of chromosome 7 in patients with prior hematologic malignancies and of chromosomes 11 and 17 in patients with prior solid tumors. A genetic determinism involving abnormal recessive alleles located on chromosomes 5, 7, 11, and 17 uncovered by deletions of the normal homologs may be a cause of S-ANLL. The difference between patients with prior hematologic malignancies or solid tumors may be explained by different constitutional mutations of recessive genes in the two groups of patients

Professional knowledge and interprofessional practice

International Nuclear Information System (INIS)

Milburn, Peter C.; Colyer, Hazel

2008-01-01

Interprofessional education (IPE) is well-established in the professional discipline of radiography and other health and social care professions, driven by central government policies promoting interprofessional, collaborative working. The development of an appropriate knowledge base for interprofessional work is therefore important and, as a starting point, the article investigates the concept and significance of professional knowledge as a means to unravel and shed light on the potential emergence of a new body of knowledge, 'interprofessional knowledge'. The paper discusses whether the term 'interprofessional knowledge' (IPK) is meaningful and its utility for interprofessional practice, arguing that such knowledge is located within the discourse of interprofessional learning and practice. As such it is fluid and contextualised. The implications of this for all health and social care professionals, including radiographers, are elaborated to assist in future curriculum development and enhance understanding of the knowledge that underpins effective, collaborative, interprofessional practice. The paper concludes by suggesting there are a number of key implications for professional practice namely, IPE cannot teach interprofessional knowledge, rather it should facilitate interprofessional practice, through which such knowledge is construed, and person-centred care can be more effectively achieved. Second, interprofessional practice is highly contextualised by practice setting and point of service delivery. Any attempt to decontextualise it for the purpose of curriculum development would be illogical; interprofessional knowledge is in a symbiotic relationship with its prior professional knowledge. Third, the organisation of IPE would be better driven by alliances of complementary professions in order to maximise its potential effectiveness and credibility with practitioners

Searching for Clinically Relevant Biomarkers in Geriatric Oncology.

Science.gov (United States)

Katsila, Theodora; Patrinos, George P; Kardamakis, Dimitrios

2018-01-01

Ageing, which is associated with a progressive decline and functional deterioration in multiple organ systems, is highly heterogeneous, both inter- and intraindividually. For this, tailored-made theranostics and optimum patient stratification become fundamental, when decision-making in elderly patients is considered. In particular, when cancer incidence and cancer-related mortality and morbidity are taken into account, elderly patient care is a public health concern. In this review, we focus on oncogeriatrics and highlight current opportunities and challenges with an emphasis on the unmet need of clinically relevant biomarkers in elderly cancer patients. We performed a literature search on PubMed and Scopus databases for articles published in English between 2000 and 2017 coupled to text mining and analysis. Considering the top insights, we derived from our literature analysis that information knowledge needs to turn into knowledge growth in oncogeriatrics towards clinically relevant biomarkers, cost-effective practices, updated educational schemes for health professionals (in particular, geriatricians and oncologists), and awareness of ethical issues. We conclude with an interdisciplinary call to omics, geriatricians, oncologists, informatics, and policy-makers communities that Big Data should be translated into decision-making in the clinic.

From the political here and now to generalizable knowledge

NARCIS (Netherlands)

Brandt, M.J.; Wagemans, F.M.A.

2017-01-01

Political psychology is an exciting field because it is directly and immediately relevant to current events. This feature of the field is also a drawback because it can unintentionally limit the knowledge of the field to current events and prevent the development of generalizable knowledge. We

Accommodating Uncertainty in Prior Distributions

Energy Technology Data Exchange (ETDEWEB)

Picard, Richard Roy [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Vander Wiel, Scott Alan [Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

2017-01-19

A fundamental premise of Bayesian methodology is that a priori information is accurately summarized by a single, precisely de ned prior distribution. In many cases, especially involving informative priors, this premise is false, and the (mis)application of Bayes methods produces posterior quantities whose apparent precisions are highly misleading. We examine the implications of uncertainty in prior distributions, and present graphical methods for dealing with them.

The Influence of Instruction, Prior Knowledge, and Values on Climate Change Risk Perception among Undergraduates

Science.gov (United States)

Aksit, Osman; McNeal, Karen S.; Gold, Anne U.; Libarkin, Julie C.; Harris, Sara

2018-01-01

We evaluated influences on the climate change risk perceptions of undergraduate students in an introductory Earth Science course. For this sample, domain-specific content knowledge about climate change was a significant predictor of students' risk perception of climate change while cultural worldviews (individualism, hierarchy) and political…

Negotiating Multicollinearity with Spike-and-Slab Priors.

Science.gov (United States)

Ročková, Veronika; George, Edward I

2014-08-01

In multiple regression under the normal linear model, the presence of multicollinearity is well known to lead to unreliable and unstable maximum likelihood estimates. This can be particularly troublesome for the problem of variable selection where it becomes more difficult to distinguish between subset models. Here we show how adding a spike-and-slab prior mitigates this difficulty by filtering the likelihood surface into a posterior distribution that allocates the relevant likelihood information to each of the subset model modes. For identification of promising high posterior models in this setting, we consider three EM algorithms, the fast closed form EMVS version of Rockova and George (2014) and two new versions designed for variants of the spike-and-slab formulation. For a multimodal posterior under multicollinearity, we compare the regions of convergence of these three algorithms. Deterministic annealing versions of the EMVS algorithm are seen to substantially mitigate this multimodality. A single simple running example is used for illustration throughout.

Knowledge representation for decision support systems

International Nuclear Information System (INIS)

Methlie, L.B.

1985-01-01

This book is organized into three sections in accordance with the structure of the conference program. First section contains four major papers which were commissioned by the Programme Committee to set the tone for the conference and to provide a structured source of relevant material from contributing disciplines. The second section contains specific papers submitted to the conference, and concerned with the following topics of specific interest: epistemological issues for decision support systems (DSS), capturing organizational knowledge for DSS, complementarity between human and formal DSS, and representations for adaption. The third section contains the short papers on any topic of relevance to the theme of the conference. It is hoped that the two working conferences organized by WG 8.3 will contribute to the development of a coherent knowledge and understanding of the class of computerized information systems called Decision Support Systems. (Auth.)

Physiology knowledge plays a role when novices learn technical echocardiography skills

DEFF Research Database (Denmark)

Nielsen, Dorte Guldbrand; Gøtzsche, Ole; Eika, Berit

2010-01-01

Purpose: Little is known about factors of relevance for achieving technical skills of echocardiography (TTE); one of the essential skills defined by the European Society of Cardiology Core Curriculum. In an earlier study we have shown that there is a strong correlation between physiology knowledge...... and interpretation skills of intermediately trained echocardiographers. This study investigates the role of physiology knowledge in the development of echocardiographic technical expertise. Methods: Forty-five physicians (15 novices, 15 intermediates and 15 experts) were evaluated on technical skills. Participants...... of echocardiography relevant physiology knowledge. Results: A strong and significant correlation between expertise level and technical checklist scores was found (r = .76, p

Educators' roles in developing adolescent HIV/AIDS knowledge and ...

African Journals Online (AJOL)

knowledge and attitudes of HIV/AIDS were influenced by family and school ... Accordingly, while a school culture is recognizable by its unique values, beliefs, climate, ethos ..... acquired prior to the qualitative research would in some way cloud ...

Research on Knowledge-Oriented Supply ChainRisk Management System Model

OpenAIRE

Yingchun Guo

2011-01-01

Based on analyzing the characteristics of supply chain risk management under the influences of knowledge, in this paper integrates basic theories and methods of knowledge management into the process of risk management, builds a knowledge-oriented supply chain risk management system model, and proposes relevant strategies, presenting references for practical application of knowledge-oriented supply chain risk management. By means of acquiring, storing, sharing, and transferring supply chain ri...

Search engines and the production of academic knowledge

OpenAIRE

van Dijck, J.

2010-01-01

This article argues that search engines in general, and Google Scholar in particular, have become significant co-producers of academic knowledge. Knowledge is not simply conveyed to users, but is co-produced by search engines’ ranking systems and profiling systems, none of which are open to the rules of transparency, relevance and privacy in a manner known from library scholarship in the public domain. Inexperienced users tend to trust proprietary engines as neutral mediators of knowledge and...

Iterative CT shading correction with no prior information

Science.gov (United States)

Wu, Pengwei; Sun, Xiaonan; Hu, Hongjie; Mao, Tingyu; Zhao, Wei; Sheng, Ke; Cheung, Alice A.; Niu, Tianye

2015-11-01

Shading artifacts in CT images are caused by scatter contamination, beam-hardening effect and other non-ideal imaging conditions. The purpose of this study is to propose a novel and general correction framework to eliminate low-frequency shading artifacts in CT images (e.g. cone-beam CT, low-kVp CT) without relying on prior information. The method is based on the general knowledge of the relatively uniform CT number distribution in one tissue component. The CT image is first segmented to construct a template image where each structure is filled with the same CT number of a specific tissue type. Then, by subtracting the ideal template from the CT image, the residual image from various error sources are generated. Since forward projection is an integration process, non-continuous shading artifacts in the image become continuous signals in a line integral. Thus, the residual image is forward projected and its line integral is low-pass filtered in order to estimate the error that causes shading artifacts. A compensation map is reconstructed from the filtered line integral error using a standard FDK algorithm and added back to the original image for shading correction. As the segmented image does not accurately depict a shaded CT image, the proposed scheme is iterated until the variation of the residual image is minimized. The proposed method is evaluated using cone-beam CT images of a Catphan©600 phantom and a pelvis patient, and low-kVp CT angiography images for carotid artery assessment. Compared with the CT image without correction, the proposed method reduces the overall CT number error from over 200 HU to be less than 30 HU and increases the spatial uniformity by a factor of 1.5. Low-contrast object is faithfully retained after the proposed correction. An effective iterative algorithm for shading correction in CT imaging is proposed that is only assisted by general anatomical information without relying on prior knowledge. The proposed method is thus practical

Knowledge Is Power for Medical Assistants: Crystallized and Fluid Intelligence As Predictors of Vocational Knowledge

Directory of Open Access Journals (Sweden)

Anne Moehring

2018-02-01

Full Text Available Medical education research has focused almost entirely on the education of future physicians. In comparison, findings on other health-related occupations, such as medical assistants, are scarce. With the current study, we wanted to examine the knowledge-is-power hypothesis in a real life educational setting and add to the sparse literature on medical assistants. Acquisition of vocational knowledge in vocational education and training (VET was examined for medical assistant students (n = 448. Differences in domain-specific vocational knowledge were predicted by crystallized and fluid intelligence in the course of VET. A multiple matrix design with 3 year-specific booklets was used for the vocational knowledge tests of the medical assistants. The unique and joint contributions of the predictors were investigated with structural equation modeling. Crystallized intelligence emerged as the strongest predictor of vocational knowledge at every stage of VET, while fluid intelligence only showed weak effects. The present results support the knowledge-is-power hypothesis, even in a broad and more naturalistic setting. This emphasizes the relevance of general knowledge for occupations, such as medical assistants, which are more focused on learning hands-on skills than the acquisition of academic knowledge.

Knowledge Is Power for Medical Assistants: Crystallized and Fluid Intelligence As Predictors of Vocational Knowledge.

Science.gov (United States)

Moehring, Anne; Schroeders, Ulrich; Wilhelm, Oliver

2018-01-01

Medical education research has focused almost entirely on the education of future physicians. In comparison, findings on other health-related occupations, such as medical assistants, are scarce. With the current study, we wanted to examine the knowledge-is-power hypothesis in a real life educational setting and add to the sparse literature on medical assistants. Acquisition of vocational knowledge in vocational education and training (VET) was examined for medical assistant students ( n = 448). Differences in domain-specific vocational knowledge were predicted by crystallized and fluid intelligence in the course of VET. A multiple matrix design with 3 year-specific booklets was used for the vocational knowledge tests of the medical assistants. The unique and joint contributions of the predictors were investigated with structural equation modeling. Crystallized intelligence emerged as the strongest predictor of vocational knowledge at every stage of VET, while fluid intelligence only showed weak effects. The present results support the knowledge-is-power hypothesis, even in a broad and more naturalistic setting. This emphasizes the relevance of general knowledge for occupations, such as medical assistants, which are more focused on learning hands-on skills than the acquisition of academic knowledge.

What one feels and what one knows: The influence of emotions on knowledge sharing

NARCIS (Netherlands)

van den Hooff, B.J.; Schouten, A.P.; Simonovski, S.

2012-01-01

Purpose: This paper aims to provide theoretical and empirical insight into the relationship between emotions and knowledge sharing. Design/methodology/approach: Hypotheses concerning the influence of pride and empathy on knowledge sharing attitudes and intentions are developed, based on prior

Computer Experiences, Self-Efficacy and Knowledge of Students Enrolled in Introductory University Agriculture Courses.

Science.gov (United States)

Johnson, Donald M.; Ferguson, James A.; Lester, Melissa L.

1999-01-01

Of 175 freshmen agriculture students, 74% had prior computer courses, 62% owned computers. The number of computer topics studied predicted both computer self-efficacy and computer knowledge. A substantial positive correlation was found between self-efficacy and computer knowledge. (SK)

Urban Knowledge Arena

Directory of Open Access Journals (Sweden)

Karel Schmeidler

2008-01-01

Full Text Available COST Action C20 – Urban Knowledge Arena is research programme supported by European Co-operation in the Field of Scientific and Technical Research. It is co-ordinated by COST Office and European Science Foundation. The main objective of this Action is to explore and develop a European Arena for cross boundary, integrated knowledge and Know-how on complex urban problems, which is termed Urban Knowledge Arena. The COST Domain Transport and Urban Development aims at fostering international research networking activities of scientist and experts dealing with transport systems and infrastructures, spatial planning, urban land use and development, urban design, architecture and design and civil engineering issues. The focus is on multi and interdisciplinary approaches and the aim is to cover both basic and applied research activities and their changeovers that are relevant to policy and decision making processes. A significant concern is devoted to activities exploring new research needs and developments.

An Ensemble Approach to Building Mercer Kernels with Prior Information

Science.gov (United States)

Srivastava, Ashok N.; Schumann, Johann; Fischer, Bernd

2005-01-01

This paper presents a new methodology for automatic knowledge driven data mining based on the theory of Mercer Kernels, which are highly nonlinear symmetric positive definite mappings from the original image space to a very high, possibly dimensional feature space. we describe a new method called Mixture Density Mercer Kernels to learn kernel function directly from data, rather than using pre-defined kernels. These data adaptive kernels can encode prior knowledge in the kernel using a Bayesian formulation, thus allowing for physical information to be encoded in the model. Specifically, we demonstrate the use of the algorithm in situations with extremely small samples of data. We compare the results with existing algorithms on data from the Sloan Digital Sky Survey (SDSS) and demonstrate the method's superior performance against standard methods. The code for these experiments has been generated with the AUTOBAYES tool, which automatically generates efficient and documented C/C++ code from abstract statistical model specifications. The core of the system is a schema library which contains templates for learning and knowledge discovery algorithms like different versions of EM, or numeric optimization methods like conjugate gradient methods. The template instantiation is supported by symbolic-algebraic computations, which allows AUTOBAYES to find closed-form solutions and, where possible, to integrate them into the code.

Knowledge Exchange and Management Research

DEFF Research Database (Denmark)

Bager, Torben

2018-01-01

for ‘interesting’ discoveries has a potential to lift off papers with a high level of scientific rigor as well as a high level of relevance for practice. Originality: An outcome focus on the relationship between knowledge exchange activities and management research is to our knowledge new in the debate about......Purpose: The growing involvement of management researchers in knowledge exchange activities and collaborative research does not seem to be reflected in a growing academic output. The purpose of this paper is to explore barriers for academic output from these activities as well as the potential...... derived from knowledge exchange activities and Mode 2 research into academic papers such as low priority of case study research in leading management journals, a growing practice orientation in the research funding systems, methodological challenges due to limited researcher control, and disincentives...

Orchestration of Globally Distributed Knowledge within MNC Network

DEFF Research Database (Denmark)

Sajadirad, Solmaz; Lassen, Astrid Heidemann; Søberg, Peder Veng

2017-01-01

distributed knowledge in multinational companies. The findings also indicate that adoption of different knowledge orchestration approaches by companies can be influenced by headquarter-subsidiaries relationship, type of products, knowledge relevance between headquarter and subsidiaries, and level...... on knowledge orchestration in multinational companies. By introducing a dynamic view of the use of inter-firm objects, facilitating collaboration between headquarters and subsidiaries, our findings would help multinational companies improve headquarter-subsidiaries relationship in favor of the efficiency......This paper explores how the use of inter-firm objects within different knowledge orchestration processes affects collaboration between headquarter and distributed subsidiaries. The discussion focuses on different approaches to knowledge orchestration based on combinations of the use of inter...

WE-DE-BRA-01: SCIENCE COUNCIL JUNIOR INVESTIGATOR COMPETITION WINNER: Acceleration of a Limited-Angle Intrafraction Verification (LIVE) System Using Adaptive Prior Knowledge Based Image Estimation

International Nuclear Information System (INIS)

Zhang, Y; Yin, F; Ren, L; Zhang, Y

2016-01-01

Purpose: To develop an adaptive prior knowledge based image estimation method to reduce the scan angle needed in the LIVE system to reconstruct 4D-CBCT for intrafraction verification. Methods: The LIVE system has been previously proposed to reconstructs 4D volumetric images on-the-fly during arc treatment for intrafraction target verification and dose calculation. This system uses limited-angle beam’s eye view (BEV) MV cine images acquired from the treatment beam together with the orthogonally acquired limited-angle kV projections to reconstruct 4D-CBCT images for target verification during treatment. In this study, we developed an adaptive constrained free-form deformation reconstruction technique in LIVE to further reduce the scanning angle needed to reconstruct the CBCT images. This technique uses free form deformation with energy minimization to deform prior images to estimate 4D-CBCT based on projections acquired in limited angle (orthogonal 6°) during the treatment. Note that the prior images are adaptively updated using the latest CBCT images reconstructed by LIVE during treatment to utilize the continuity of patient motion.The 4D digital extended-cardiac-torso (XCAT) phantom was used to evaluate the efficacy of this technique with LIVE system. A lung patient was simulated with different scenario, including baseline drifts, amplitude change and phase shift. Limited-angle orthogonal kV and beam’s eye view (BEV) MV projections were generated for each scenario. The CBCT reconstructed by these projections were compared with the ground-truth generated in XCAT.Volume-percentage-difference (VPD) and center-of-mass-shift (COMS) were calculated between the reconstructed and the ground-truth tumors to evaluate the reconstruction accuracy. Results: Using orthogonal-view of 6° kV and BEV- MV projections, the VPD/COMS values were 12.7±4.0%/0.7±0.5 mm, 13.0±5.1%/0.8±0.5 mm, and 11.4±5.4%/0.5±0.3 mm for the three scenarios, respectively. Conclusion: The

WE-DE-BRA-01: SCIENCE COUNCIL JUNIOR INVESTIGATOR COMPETITION WINNER: Acceleration of a Limited-Angle Intrafraction Verification (LIVE) System Using Adaptive Prior Knowledge Based Image Estimation

Energy Technology Data Exchange (ETDEWEB)

Zhang, Y; Yin, F; Ren, L [Duke University Medical Center, Durham, NC (United States); Zhang, Y [UT Southwestern Medical Ctr at Dallas, Dallas, TX (United States)

2016-06-15

Purpose: To develop an adaptive prior knowledge based image estimation method to reduce the scan angle needed in the LIVE system to reconstruct 4D-CBCT for intrafraction verification. Methods: The LIVE system has been previously proposed to reconstructs 4D volumetric images on-the-fly during arc treatment for intrafraction target verification and dose calculation. This system uses limited-angle beam’s eye view (BEV) MV cine images acquired from the treatment beam together with the orthogonally acquired limited-angle kV projections to reconstruct 4D-CBCT images for target verification during treatment. In this study, we developed an adaptive constrained free-form deformation reconstruction technique in LIVE to further reduce the scanning angle needed to reconstruct the CBCT images. This technique uses free form deformation with energy minimization to deform prior images to estimate 4D-CBCT based on projections acquired in limited angle (orthogonal 6°) during the treatment. Note that the prior images are adaptively updated using the latest CBCT images reconstructed by LIVE during treatment to utilize the continuity of patient motion.The 4D digital extended-cardiac-torso (XCAT) phantom was used to evaluate the efficacy of this technique with LIVE system. A lung patient was simulated with different scenario, including baseline drifts, amplitude change and phase shift. Limited-angle orthogonal kV and beam’s eye view (BEV) MV projections were generated for each scenario. The CBCT reconstructed by these projections were compared with the ground-truth generated in XCAT.Volume-percentage-difference (VPD) and center-of-mass-shift (COMS) were calculated between the reconstructed and the ground-truth tumors to evaluate the reconstruction accuracy. Results: Using orthogonal-view of 6° kV and BEV- MV projections, the VPD/COMS values were 12.7±4.0%/0.7±0.5 mm, 13.0±5.1%/0.8±0.5 mm, and 11.4±5.4%/0.5±0.3 mm for the three scenarios, respectively. Conclusion: The

Knowledge related activities in open innovation

DEFF Research Database (Denmark)

Pedrosa, Alex; Välling, Margus; Boyd, Britta

2013-01-01

interaction in open innovation. Despite valuable insights into the importance of the variety of external knowledge sources to enhance (open) innovation, research has overlooked so far that managers’ characteristics and practices are relevant for the absorption of external knowledge in open innovation. Thus......Theory and practice both have recognised the importance of external knowledge to enhance organisations’ innovation performance. Due to organisations’ growing interest in effectively collaborating with external knowledge sources, research has investigated the importance of firm-external stakeholder......, the purpose of this study is to explore how organisations’ absorptive capacity – exploration, transformation, and exploitation – becomes manifested in managers’ characteristics and practices in open innovation. This article reports on the findings obtained from four case studies of manufacturing and service...

Not a Stale Metaphor: The Continued Relevance of Pedagogical Content Knowledge for Science Research and Education

Science.gov (United States)

Hayden, H. Emily; Eades Baird, Michelle

2018-01-01

Recently, theorists have raised concerns that pedagogical content knowledge (PCK) has become "a stale metaphor" that disregards diversity and equity, offers little to help teachers address students' misconceptions, and portrays knowledge as "in the head" versus in practice. We refute these notions using grounded theory to…

A scale-free structure prior for graphical models with applications in functional genomics.

Directory of Open Access Journals (Sweden)

Paul Sheridan

Full Text Available The problem of reconstructing large-scale, gene regulatory networks from gene expression data has garnered considerable attention in bioinformatics over the past decade with the graphical modeling paradigm having emerged as a popular framework for inference. Analysis in a full Bayesian setting is contingent upon the assignment of a so-called structure prior-a probability distribution on networks, encoding a priori biological knowledge either in the form of supplemental data or high-level topological features. A key topological consideration is that a wide range of cellular networks are approximately scale-free, meaning that the fraction, , of nodes in a network with degree is roughly described by a power-law with exponent between and . The standard practice, however, is to utilize a random structure prior, which favors networks with binomially distributed degree distributions. In this paper, we introduce a scale-free structure prior for graphical models based on the formula for the probability of a network under a simple scale-free network model. Unlike the random structure prior, its scale-free counterpart requires a node labeling as a parameter. In order to use this prior for large-scale network inference, we design a novel Metropolis-Hastings sampler for graphical models that includes a node labeling as a state space variable. In a simulation study, we demonstrate that the scale-free structure prior outperforms the random structure prior at recovering scale-free networks while at the same time retains the ability to recover random networks. We then estimate a gene association network from gene expression data taken from a breast cancer tumor study, showing that scale-free structure prior recovers hubs, including the previously unknown hub SLC39A6, which is a zinc transporter that has been implicated with the spread of breast cancer to the lymph nodes. Our analysis of the breast cancer expression data underscores the value of the scale

Legal Professionals' Knowledge of Eyewitness Testimony in China: A Cross-Sectional Survey.

Directory of Open Access Journals (Sweden)

Lina Jiang

Full Text Available To examine legal professionals' knowledge of a wide range of factors that affect eyewitness accuracy in China.A total of 812 participants, including 210 judges, 244 prosecutors, 202 police officers, and 156 defense attorneys, were asked to respond to 12 statements about eyewitness testimony and 3 basic demographic questions (i.e., gender, age, and prior experience.Although the judges and the defense attorneys had a somewhat higher number of correct responses than the other two groups, all groups showed limited knowledge of eyewitness testimony. In addition, the participants' responses to only four items (i.e., weapon focus, attitude and expectations, child suggestibility, and the impact of stress were roughly unanimous within the four legal professional groups. Legal professionals' gender showed no significant correlations with their knowledge of eyewitness testimony. Prior experiences were significantly and negatively correlated with the item on the knowledge of forgetting curve among judges but positively correlated with two items (i.e., attitudes and exposure time among defense attorneys and with 4 statements (i.e., the knowledge of attitudes and expectations, impact of stress, child witness accuracy, and exposure time among prosecutors.The findings suggest that knowledge of the factors that influence eyewitness accuracy must be more effectively communicated to legal professionals in the future.

Iterated random walks with shape prior

DEFF Research Database (Denmark)

Pujadas, Esmeralda Ruiz; Kjer, Hans Martin; Piella, Gemma

2016-01-01

the parametric probability density function. Then, random walks is performed iteratively aligning the prior with the current segmentation in every iteration. We tested the proposed approach with natural and medical images and compared it with the latest techniques with random walks and shape priors......We propose a new framework for image segmentation using random walks where a distance shape prior is combined with a region term. The shape prior is weighted by a confidence map to reduce the influence of the prior in high gradient areas and the region term is computed with k-means to estimate....... The experiments suggest that this method gives promising results for medical and natural images....

An Evaluation of Applying Knowledge Base to Academic Information Service

OpenAIRE

Seok-Hyoung Lee; Hwan-Min Kim; Ho-Seop Choe

2013-01-01

Through a series of precise text handling processes, including automatic extraction of information from documents with knowledge from various fields, recognition of entity names, detection of core topics, analysis of the relations between the extracted information and topics, and automatic inference of new knowledge, the most efficient knowledge base of the relevant field is created, and plans to apply these to the information knowledge management and service are the core requirements necessa...

Contemporary HIV/AIDS research: Insights from knowledge ...

African Journals Online (AJOL)

2017-09-18

Sep 18, 2017 ... solutions to knowledge problems on a scale hitherto unimaginable. Expert and non-expert .... support or “confirm” their beliefs,' which has led to a bias against the ..... and corrected prior to harm; these derive from the systems theory ..... ecosystem, whose design will make it capable of self-organis- ation and ...

Fuzzy concept analysis for semantic knowledge extraction

OpenAIRE

De Maio, Carmen

2012-01-01

2010 - 2011 Availability of controlled vocabularies, ontologies, and so on is enabling feature to provide some added values in terms of knowledge management. Nevertheless, the design, maintenance and construction of domain ontologies are a human intensive and time consuming task. The Knowledge Extraction consists of automatic techniques aimed to identify and to define relevant concepts and relations of the domain of interest by analyzing structured (relational databases, XML) and unstructu...

Advances in Pediatric Cardiology Boot Camp: Boot Camp Training Promotes Fellowship Readiness and Enables Retention of Knowledge.

Science.gov (United States)

Ceresnak, Scott R; Axelrod, David M; Sacks, Loren D; Motonaga, Kara S; Johnson, Emily R; Krawczeski, Catherine D

2017-03-01

We previously demonstrated that a pediatric cardiology boot camp can improve knowledge acquisition and decrease anxiety for trainees. We sought to determine if boot camp participants entered fellowship with a knowledge advantage over fellows who did not attend and if there was moderate-term retention of that knowledge. A 2-day training program was provided for incoming pediatric cardiology fellows from eight fellowship programs in April 2016. Hands-on, immersive experiences and simulations were provided in all major areas of pediatric cardiology. Knowledge-based examinations were completed by each participant prior to boot camp (PRE), immediately post-training (POST), and prior to the start of fellowship in June 2016 (F/U). A control group of fellows who did not attend boot camp also completed an examination prior to fellowship (CTRL). Comparisons of scores were made for individual participants and between participants and controls. A total of 16 participants and 16 control subjects were included. Baseline exam scores were similar between participants and controls (PRE 47 ± 11% vs. CTRL 52 ± 10%; p = 0.22). Participants' knowledge improved with boot camp training (PRE 47 ± 11% vs. POST 70 ± 8%; p cardiology knowledge after the training program and had excellent moderate-term retention of that knowledge. Participants began fellowship with a larger fund of knowledge than those fellows who did not attend.

Performance Testing of Cutting Fluids. A review of relevant literature

DEFF Research Database (Denmark)

Belluco, Walter

the extended abstracts in the data-base, each displayed on one page which is also bearing all relevant information for the retrieval of the published material. A full copy of the publications can be obtained in most cases by DTV-Technical Knowledge Center & Library of Denmark, Ankels Engelunds Vej 1, 2800...

Recognition of prior learning candidates’ experiences in a nurse training programme

Directory of Open Access Journals (Sweden)

Nomathemba B. Mothokoa

2018-06-01

Full Text Available Recognition of prior learning (RPL in South Africa is critical to the development of an equitable education and training system. Historically, nursing has been known as one of the professions that provides access to the training and education of marginalised groups who have minimal access to formal education. The advent of implementing RPL in nursing has, however, not been without challenges. The purpose of this study was to explore and describe the experiences of RPL nursing candidates related to a 4-year comprehensive nursing training programme at a nursing education institution in Gauteng. An exploratory, descriptive and contextual qualitative research design was undertaken. The research sample comprised 13 purposefully selected participants. Face-to-face individual interviews, using open-ended questions, were used to collect data, which were analysed using Tesch’s approach. Recognition of prior learning candidates experienced a number of realities as adult learners. On a positive note, their prior knowledge and experience supported them in their learning endeavours. Participants, however, experienced a number of challenges on personal, interpersonal and socialisation, and educational levels. It is important that opportunities are created to support and assist RPL candidates to complete their nursing training. This support structure, among others, should include the provision of RPL-related information, giving appropriate advice, coaching and mentoring, effective administration services, integrated curriculum design, and a variety of formative and summative assessment practices.

An Investigation of Preservice Teachers' Beliefs about the Certainty of Teaching Knowledge

Science.gov (United States)

Ferguson, Leila E.; Brownlee, Jo Lunn

2018-01-01

Beliefs about the certainty of teaching knowledge may influence how preservice teachers engage with and learn from knowledge sources in teacher education, and their subsequent practice. In light of inconsistencies in prior findings that mainly employ epistemic questionnaires, we extended research focusing on a contextual analysis. Sixty-six…

The Influence of the Knowledge Base on the Development of Mnemonic Strategies.

Science.gov (United States)

Ornstein, Peter A.; Naus, Mary J.

A dominant theme in cognitive psychology is that prior knowledge in long-term memory has a strong influence on an individual's cognitive processing. Citing numerous memory studies with children, knowledge base effects are presented as part of a broader picture of memory development. Using the sort/recall procedure (asking subjects to group sets of…

Predicting Mycobacterium tuberculosis Complex Clades Using Knowledge-Based Bayesian Networks

Directory of Open Access Journals (Sweden)

Minoo Aminian

2014-01-01

Full Text Available We develop a novel approach for incorporating expert rules into Bayesian networks for classification of Mycobacterium tuberculosis complex (MTBC clades. The proposed knowledge-based Bayesian network (KBBN treats sets of expert rules as prior distributions on the classes. Unlike prior knowledge-based support vector machine approaches which require rules expressed as polyhedral sets, KBBN directly incorporates the rules without any modification. KBBN uses data to refine rule-based classifiers when the rule set is incomplete or ambiguous. We develop a predictive KBBN model for 69 MTBC clades found in the SITVIT international collection. We validate the approach using two testbeds that model knowledge of the MTBC obtained from two different experts and large DNA fingerprint databases to predict MTBC genetic clades and sublineages. These models represent strains of MTBC using high-throughput biomarkers called spacer oligonucleotide types (spoligotypes, since these are routinely gathered from MTBC isolates of tuberculosis (TB patients. Results show that incorporating rules into problems can drastically increase classification accuracy if data alone are insufficient. The SITVIT KBBN is publicly available for use on the World Wide Web.

Study of the the efficacy Magiran, Noormags and SID database in retrieval and relevance of Information Science and Knowledge subject by free keywords and Compare them in terms of the use of controlled keywords

Directory of Open Access Journals (Sweden)

Mehri Shahbazi

2016-03-01

Full Text Available Today, Speed and coverage are two important factors that are considered by databases. In fact, a database in a particular subject area can be valid when a large percentage of the area covered by the thematic keywords and consequently it can provide most of the resources with the resources for that subject. The present study was conducted based on analytical - survey method with the main objectives of comparing Noormagz, Magiran and SID databases according to the rate of information, knowledge retrieval, and relevance of thematic vocabulary by free and controlled Keywords as well as Secondary objectives of comparing the coverage and overlap of these three databases of indexed journals in the field of information science and knowledge. All journals in the field of information and knowledge science are approved by the Ministry of Science, Research and Technology, according to the latest list of valid publications of this ministry in March 2016 , and key words taken from the articles in these journals were considered population of this research. Searching and comparing selected thematic keywords in each of the study databases indicated that there are a huge difference regarding free and controlled vocabulary retrieval of information and knowledge science in Noormagz database compared to the other two sites. In addition, studying the thematic relevance of research data showed that the ability of this database for receiving other related articles is more than two other databases. Although the titles of journals in Magiran database were more than those two databases and this database compared to two other databases was more update, the number of journals published in Noormagz database were more than others.

Consumers' multifaceted deal knowledge in a grocery retail setting

DEFF Research Database (Denmark)

Jensen, Birger Boutrup; Bech-Larsen, Tino

2017-01-01

of deal price status, typical deal price knowledge, and deal-spotting ability. Results show reasonably stable knowledge of typical deal prices, while knowledge of deal price status and deal-spotting ability improves significantly during grocery shopping. Surprisingly, consumers’ deal knowledge...... typical deal price knowledge. Furthermore, the findings suggest that consumers store internal reference deal prices. Retailers are therefore well advised to consider mixed depth and creative discount patterns to prevent ‘perfect’ perceptions of typical deal prices.......Despite its relevance to retailers, studies of consumers’ deal knowledge have been few. This study explores consumers’ deal knowledge before, during, and after the store visit applying a between-subjects field-study design with 1204 respondents. In particular, the authors investigate perception...

Fundamentals of microfluidics for high school students with no prior knowledge of fluid mechanics.

Science.gov (United States)

Tandon, Vishal; Peck, Walter

2013-01-01

Three microfluidics-based laboratory exercises were developed and implemented in a high school science classroom setting. The first exercise demonstrated ways in which flows are characterized, including viscosity, turbulence, shear stress, reversibility, compressibility, and hydrodynamic resistance. Students characterized flows in poly(dimethylsiloxane) microfluidic devices in the other two exercises, where they observed the mixing characteristics of laminar flows, and conservation of volumetric flow rate for incompressible flows. In surveys, the students self-reported increased knowledge of microfluidics, and an improved attitude toward science and nanotechnology.

WE-G-BRD-06: Volumetric Cine MRI (VC-MRI) Estimated Based On Prior Knowledge for On-Board Target Localization

International Nuclear Information System (INIS)

Harris, W; Yin, F; Cai, J; Zhang, Y; Ren, L

2015-01-01

Purpose: To develop a technique to generate on-board VC-MRI using patient prior 4D-MRI, motion modeling and on-board 2D-cine MRI for real-time 3D target verification of liver and lung radiotherapy. Methods: The end-expiration phase images of a 4D-MRI acquired during patient simulation are used as patient prior images. Principal component analysis (PCA) is used to extract 3 major respiratory deformation patterns from the Deformation Field Maps (DFMs) generated between end-expiration phase and all other phases. On-board 2D-cine MRI images are acquired in the axial view. The on-board VC-MRI at any instant is considered as a deformation of the prior MRI at the end-expiration phase. The DFM is represented as a linear combination of the 3 major deformation patterns. The coefficients of the deformation patterns are solved by matching the corresponding 2D slice of the estimated VC-MRI with the acquired single 2D-cine MRI. The method was evaluated using both XCAT (a computerized patient model) simulation of lung cancer patients and MRI data from a real liver cancer patient. The 3D-MRI at every phase except end-expiration phase was used to simulate the ground-truth on-board VC-MRI at different instances, and the center-tumor slice was selected to simulate the on-board 2D-cine images. Results: Image subtraction of ground truth with estimated on-board VC-MRI shows fewer differences than image subtraction of ground truth with prior image. Excellent agreement between profiles was achieved. The normalized cross correlation coefficients between the estimated and ground-truth in the axial, coronal and sagittal views for each time step were >= 0.982, 0.905, 0.961 for XCAT data and >= 0.998, 0.911, 0.9541 for patient data. For XCAT data, the maximum-Volume-Percent-Difference between ground-truth and estimated tumor volumes was 1.6% and the maximum-Center-of-Mass-Shift was 0.9 mm. Conclusion: Preliminary studies demonstrated the feasibility to estimate real-time VC-MRI for on

WE-G-BRD-06: Volumetric Cine MRI (VC-MRI) Estimated Based On Prior Knowledge for On-Board Target Localization

Energy Technology Data Exchange (ETDEWEB)

Harris, W; Yin, F; Cai, J; Zhang, Y; Ren, L [Duke University Medical Center, Durham, NC (United States)

2015-06-15

Purpose: To develop a technique to generate on-board VC-MRI using patient prior 4D-MRI, motion modeling and on-board 2D-cine MRI for real-time 3D target verification of liver and lung radiotherapy. Methods: The end-expiration phase images of a 4D-MRI acquired during patient simulation are used as patient prior images. Principal component analysis (PCA) is used to extract 3 major respiratory deformation patterns from the Deformation Field Maps (DFMs) generated between end-expiration phase and all other phases. On-board 2D-cine MRI images are acquired in the axial view. The on-board VC-MRI at any instant is considered as a deformation of the prior MRI at the end-expiration phase. The DFM is represented as a linear combination of the 3 major deformation patterns. The coefficients of the deformation patterns are solved by matching the corresponding 2D slice of the estimated VC-MRI with the acquired single 2D-cine MRI. The method was evaluated using both XCAT (a computerized patient model) simulation of lung cancer patients and MRI data from a real liver cancer patient. The 3D-MRI at every phase except end-expiration phase was used to simulate the ground-truth on-board VC-MRI at different instances, and the center-tumor slice was selected to simulate the on-board 2D-cine images. Results: Image subtraction of ground truth with estimated on-board VC-MRI shows fewer differences than image subtraction of ground truth with prior image. Excellent agreement between profiles was achieved. The normalized cross correlation coefficients between the estimated and ground-truth in the axial, coronal and sagittal views for each time step were >= 0.982, 0.905, 0.961 for XCAT data and >= 0.998, 0.911, 0.9541 for patient data. For XCAT data, the maximum-Volume-Percent-Difference between ground-truth and estimated tumor volumes was 1.6% and the maximum-Center-of-Mass-Shift was 0.9 mm. Conclusion: Preliminary studies demonstrated the feasibility to estimate real-time VC-MRI for on

A Framework for a Clinical Reasoning Knowledge Warehouse

DEFF Research Database (Denmark)

Vilstrup Pedersen, Klaus; Boye, Niels

2004-01-01

is stored and made accessible when relevant to the reasoning context and the specific patient case. Furthermore, the information structure supports the creation of new generalized knowledge using data mining tools. The patient case is divided into an observation level and an opinion level. At the opinion......, Knowledge Management Systems and Business Intelligence to make context based, patient case specific analysis and knowledge management. The knowledge base integrates three sources of information that supports clinical reasoning: general information, guidelines and health records. New generalized knowledge...... level, reasoning participants can express their argument based opinions about a patient case, thereby enhancing the knowledge about the state of and plans for the patient. An opinion language that supports expressing a possible imprecise/uncertain opinion based on imprecise...

The Relevant Factors in Promoting Reading Activities in Elementary Schools

Science.gov (United States)

Huang, Han-Chen; Tsai, Yao-Hsu; Huang, Shih-Hsiang

2015-01-01

In order to help students absorb knowledge, schools often conduct reading activities. Thorough planning and strategies, however, are needed to insure the effect of reading promotions, and make them a deeply-rooted part of life. This study adopted the analytic hierarchy process (AHP) to discuss the relevant factors in promoting reading activities…

Knowledge Retention of Exercise Physiology Content between Athletes and Nonathletes

Science.gov (United States)

Clark, Brian; Webster, Collin; Druger, Marvin

2006-01-01

Based on the idea that learning is linked to personal relevance, this study examined knowledge retention of exercise physiology content between college athletes and nonathletes. No differences were observed between the groups. These findings have implications on understanding the relationship between personal relevance and memory. (Contains 1…

Mothers’ and Fathers’ Autonomy-Relevant Parenting: Longitudinal Links with Adolescents’ Externalizing and Internalizing Behavior

Science.gov (United States)

Lansford, Jennifer E.; Laird, Robert D.; Pettit, Gregory S.; Bates, John E.; Dodge, Kenneth A.

2014-01-01

The goal of this study was to advance the understanding of separate and joint effects of mothers’ and fathers’ autonomy-relevant parenting during early and middle adolescence. In a sample of 518 families, adolescents (49% female; 83% European American, 16% African American, 1% other ethnic groups) reported on their mothers’ and fathers’ psychological control and knowledge about adolescents’ whereabouts, friends, and activities at ages 13 and 16. Mothers and adolescents reported on adolescents’ externalizing and internalizing behaviors at ages 12, 14, 15, and 17. Adolescents perceived their mothers as using more psychological control and having more knowledge than their fathers, but there was moderate concordance between adolescents’ perceptions of their mothers and fathers. More parental psychological control predicted increases in boys’ and girls’ internalizing problems and girls’ externalizing problems. More parental knowledge predicted decreases in boys’ externalizing and internalizing problems. The perceived levels of behavior of mothers and fathers did not interact with one another in predicting adolescent adjustment. The results generalize across early and late adolescence and across mothers’ and adolescents’ reports of behavior problems. Autonomy-relevant mothering and fathering predict changes in behavior problems during early and late adolescence, but only autonomy-relevant fathering accounts for unique variance in adolescent behavior problems. PMID:24337705

Mothers' and fathers' autonomy-relevant parenting: longitudinal links with adolescents' externalizing and internalizing behavior.

Science.gov (United States)

Lansford, Jennifer E; Laird, Robert D; Pettit, Gregory S; Bates, John E; Dodge, Kenneth A

2014-11-01

The goal of this study was to advance the understanding of separate and joint effects of mothers' and fathers' autonomy-relevant parenting during early and middle adolescence. In a sample of 518 families, adolescents (49 % female; 83 % European American, 16 % African American, 1 % other ethnic groups) reported on their mothers' and fathers' psychological control and knowledge about adolescents' whereabouts, friends, and activities at ages 13 and 16. Mothers and adolescents reported on adolescents' externalizing and internalizing behaviors at ages 12, 14, 15, and 17. Adolescents perceived their mothers as using more psychological control and having more knowledge than their fathers, but there was moderate concordance between adolescents' perceptions of their mothers and fathers. More parental psychological control predicted increases in boys' and girls' internalizing problems and girls' externalizing problems. More parental knowledge predicted decreases in boys' externalizing and internalizing problems. The perceived levels of behavior of mothers and fathers did not interact with one another in predicting adolescent adjustment. The results generalize across early and late adolescence and across mothers' and adolescents' reports of behavior problems. Autonomy-relevant mothering and fathering predict changes in behavior problems during early and late adolescence, but only autonomy-relevant fathering accounts for unique variance in adolescent behavior problems.

Drawing on Dynamic Local Knowledge through Student-Generated Photography

Science.gov (United States)

Coles-Ritchie, Marilee; Monson, Bayley; Moses, Catherine

2015-01-01

In this research, the authors explored how teachers using student-generated photography draw on local knowledge. The study draws on the framework of funds of knowledge to highlight the assets marginalized students bring to the classroom and the need for culturally relevant pedagogy to address the needs of a diverse public school population. The…

From Knowledge Transfer to Situated Innovation

DEFF Research Database (Denmark)

Dittrich, Yvonne; Eriksén, Sara; Wessels, Bridgette

Innovation systems, ‘triple helix’, and similar expressions, are used to conceptualise the growing need for more integrated forms of co-operation between academia and other societal actors, such as governmental agencies and industry, in order to produce knowledge relevant for society. However......, developers and domain experts that form constituencies and where scientific knowledge is confronted by requirements, constraints and possibilities of the specific situation. In this context innovation of, or involving, ICT requires a significant amount of imagination, represents a relatively sharp break...

Partnering Healthy@Work: an Australian university-government partnership facilitating policy-relevant research.

Science.gov (United States)

Jose, Kim; Venn, Alison; Jarman, Lisa; Seal, Judy; Teale, Brook; Scott, Jennifer; Sanderson, Kristy

2017-12-01

Research funding is increasingly supporting collaborations between knowledge users and researchers. Partnering Healthy@Work (pH@W), an inaugural recipient of funding through Australia's Partnership for Better Health Grants scheme, was a 5-year partnership between the Menzies Institute for Medical Research, University of Tasmania and the Tasmanian State Service (TSS). The partnerships purpose was to evaluate a comprehensive workplace health promotion programme (Healthy@Work) targeting 30 000 public sector employees; generating new knowledge and influencing workplace health promotion policy and decision-making. This mixed methods study evaluates the partnership between policy-makers and academics and identifies strategies that enabled pH@W to deliver key project outcomes. A pH@W document review was conducted, two partnership assessment tools completed and semi-structured interviews conducted with key policy-makers and academics. Analysis of the partnership assessment tools and interviews found that pH@W had reached a strong level of collaboration. Policy-relevant knowledge was generated about the health of TSS employees and their engagement with workplace health promotion. Knowledge exchange of a conceptual and instrumental nature occurred and was facilitated by the shared grant application, clear governance structures, joint planning, regular information exchange between researchers and policy-makers and research student placements in the TSS. Flexibility and acknowledgement of different priorities and perspectives of partner organizations were identified as critical factors for enabling effective partnership working and research relevance. Academic-policy-maker partnerships can be a powerful mechanism for improving policy relevance of research, but need to incorporate strategies that facilitate regular input from researchers and policy-makers in order to achieve this. © The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions

Knowledge-based machine indexing from natural language text: Knowledge base design, development, and maintenance

Science.gov (United States)

Genuardi, Michael T.

1993-01-01

One strategy for machine-aided indexing (MAI) is to provide a concept-level analysis of the textual elements of documents or document abstracts. In such systems, natural-language phrases are analyzed in order to identify and classify concepts related to a particular subject domain. The overall performance of these MAI systems is largely dependent on the quality and comprehensiveness of their knowledge bases. These knowledge bases function to (1) define the relations between a controlled indexing vocabulary and natural language expressions; (2) provide a simple mechanism for disambiguation and the determination of relevancy; and (3) allow the extension of concept-hierarchical structure to all elements of the knowledge file. After a brief description of the NASA Machine-Aided Indexing system, concerns related to the development and maintenance of MAI knowledge bases are discussed. Particular emphasis is given to statistically-based text analysis tools designed to aid the knowledge base developer. One such tool, the Knowledge Base Building (KBB) program, presents the domain expert with a well-filtered list of synonyms and conceptually-related phrases for each thesaurus concept. Another tool, the Knowledge Base Maintenance (KBM) program, functions to identify areas of the knowledge base affected by changes in the conceptual domain (for example, the addition of a new thesaurus term). An alternate use of the KBM as an aid in thesaurus construction is also discussed.

Evolutionary medicine: update on the relevance to family practice.

Science.gov (United States)

Naugler, Christopher T

2008-09-01

To review the relevance of evolutionary medicine to family practice and family physician training. Articles were located through a MEDLINE search, using the key words evolution, Darwin, and adaptation. Most references presented level III evidence (expert opinion), while a minority provided level II evidence (epidemiologic studies). Evolutionary medicine deals with the interplay of biology and the environment in the understanding of human disease. Yet medical schools have virtually ignored the need for family physicians to have more than a cursory knowledge of this topic. A review of the main trends in this field most relevant to family practice revealed that a basic knowledge of evolutionary medicine might help in explaining the causation of diseases to patients. Evolutionary medicine has also proven key to explaining the reasons for the development of antibiotic resistance and has the potential to explain cancer pathogenesis. As an organizing principle, this field also has potential in the teaching of family medicine. Evolutionary medicine should be studied further and incorporated into medical training and practice. Its practical utility will be proven through the generation of testable hypotheses and their application in relation to disease causation and possible prevention.

Seeing without knowing: task relevance dissociates between visual awareness and recognition.

Science.gov (United States)

Eitam, Baruch; Shoval, Roy; Yeshurun, Yaffa

2015-03-01

We demonstrate that task relevance dissociates between visual awareness and knowledge activation to create a state of seeing without knowing-visual awareness of familiar stimuli without recognizing them. We rely on the fact that in order to experience a Kanizsa illusion, participants must be aware of its inducers. While people can indicate the orientation of the illusory rectangle with great ease (signifying that they have consciously experienced the illusion's inducers), almost 30% of them could not report the inducers' color. Thus, people can see, in the sense of phenomenally experiencing, but not know, in the sense of recognizing what the object is or activating appropriate knowledge about it. Experiment 2 tests whether relevance-based selection operates within objects and shows that, contrary to the pattern of results found with features of different objects in our previous studies and replicated in Experiment 1, selection does not occur when both relevant and irrelevant features belong to the same object. We discuss these findings in relation to the existing theories of consciousness and to attention and inattentional blindness, and the role of cognitive load, object-based attention, and the use of self-reports as measures of awareness. © 2015 New York Academy of Sciences.

An integrative model of knowledge management and team work

OpenAIRE

Juan A. Marin-Garcia; Mª Elena Zarate-Martinez

2008-01-01

Human Resource Management relevance in Knowledge Management has been studied in academic literature mostly from the point of view of recruitment, selection, wages and salaries and career development processes. We have found few publications that are focused in the behaviour of the group of people who generate, share and transfer that knowledge while working in a team. The aim of this paper is to propose a framework that describes the relation between knowledge management and team work,, integ...

Co-production of knowledge-action systems in urban sustainable governance: The KASA approach

Science.gov (United States)

T.A. Munoz-Erickson

2014-01-01

This paper examines how knowledge-action-systems the networks of actors involved in the production, sharing and use of policy-relevant knowledge - work in the process of developing sustainable strategies for cities. I developed an interdisciplinary framework- the knowledge-action system analysis (KASA) framework ...

Realtime Knowledge Management (RKM): From an International Space Station (ISS) Point of View

Science.gov (United States)

Robinson, Peter I.; McDermott, William; Alena, Richard L.

2004-01-01

We are developing automated methods to provide realtime access to spacecraft domain knowledge relevant a spacecraft's current operational state. The method is based upon analyzing state-transition signatures in the telemetry stream. A key insight is that documentation relevant to a specific failure mode or operational state is related to the structure and function of spacecraft systems. This means that diagnostic dependency and state models can provide a roadmap for effective documentation navigation and presentation. Diagnostic models consume the telemetry and derive a high-level state description of the spacecraft. Each potential spacecraft state description is matched against the predictions of models that were developed from information found in the pages and sections in the relevant International Space Station (ISS) documentation and reference materials. By annotating each model fragment with the domain knowledge sources from which it was derived we can develop a system that automatically selects those documents representing the domain knowledge encapsulated by the models that compute the current spacecraft state. In this manner, when the spacecraft state changes, the relevant documentation context and presentation will also change.

Translating Knowledge: The role of Shared Learning in Bridging the Science-Application Divide

Science.gov (United States)

Moench, M.

2014-12-01

As the organizers of this session state: "Understanding and managing our future relation with the Earth requires research and knowledge spanning diverse fields, and integrated, societally-relevant science that is geared toward solutions." In most cases, however, integration is weak and scientific outputs do not match decision maker requirements. As a result, while scientific results may be highly relevant to society that relevance is operationally far from clear. This paper explores the use of shared learning processes to bridge the gap between the evolving body of scientific information on climate change and its relevance for resilience planning in cities across Asia. Examples related to understanding uncertainty, the evolution of scientific knowledge from different sources, and data extraction and presentation are given using experiences generated over five years of work as part of the Rockefeller Foundation supported Asian Cities Climate Change Resilience Network and other programs. Results suggest that processes supporting effective translation of knowledge between different sources and different applications are essential for the identification of solutions that respond to the dynamics and uncertainties inherent in global change processes.

The temporal-relevance temporal-uncertainty model of prospective duration judgment.

Science.gov (United States)

Zakay, Dan

2015-12-15

A model aimed at explaining prospective duration judgments in real life settings (as well as in the laboratory) is presented. The model is based on the assumption that situational meaning is continuously being extracted by humans' perceptual and cognitive information processing systems. Time is one of the important dimensions of situational meaning. Based on the situational meaning, a value for Temporal Relevance is set. Temporal Relevance reflects the importance of temporal aspects for enabling adaptive behavior in a specific moment in time. When Temporal Relevance is above a certain threshold a prospective duration judgment process is evoked automatically. In addition, a search for relevant temporal information is taking place and its outcomes determine the level of Temporal Uncertainty which reflects the degree of knowledge one has regarding temporal aspects of the task to be performed. The levels of Temporal Relevance and Temporal Uncertainty determine the amount of attentional resources allocated for timing by the executive system. The merit of the model is in connecting timing processes with the ongoing general information processing stream. The model rests on findings in various domains which indicate that cognitive-relevance and self-relevance are powerful determinants of resource allocation policy. The feasibility of the model is demonstrated by analyzing various temporal phenomena. Suggestions for further empirical validation of the model are presented. Copyright © 2015 Elsevier Inc. All rights reserved.

International Comparisons of Foundation Phase Number Domain Mathematics Knowledge and Practice Standards

Science.gov (United States)

Human, Anja; van der Walt, Marthie; Posthuma, Barbara

2015-01-01

Poor mathematics performance in schools is both a national and an international concern. Teachers ought to be equipped with relevant subject matter knowledge and pedagogical content knowledge as one way to address this problem. However, no mathematics knowledge and practice standards have as yet been defined for the preparation of Foundation Phase…

The domain theory: patterns for knowledge and software reuse

National Research Council Canada - National Science Library

Sutcliffe, Alistair

2002-01-01

..., retrieval system, or any other means, without prior written permission of the publisher. Lawrence Erlbaum Associates, Inc., Publishers 10 Industrial Avenue Mahwah, New Jersey 07430 Library of Congress Cataloging-in-Publication Data Sutcliffe, Alistair, 1951- The domain theory : patterns for knowledge and software reuse / Alistair Sutcl...

Coping with the knowledge sharing barriers in Product Service Systems design

OpenAIRE

Bertoni, Marco; Larsson, Andreas

2010-01-01

This paper analyzes the knowledge sharing process that characterizes Product Service Systems (PSS) design, drawing on data from an in-depth study in the Swedish manufacturing industry. It categorizes and describes the most relevant knowledge sharing barriers affecting early PSS development phases, discussing them in terms of capabilities to be included in a knowledge engineering system to fulfil the increasing need for knowledge in product-service design. To cope with these barriers, the auth...

Modeling Transfer of Knowledge in an Online Platform of a Cluster

OpenAIRE

Schmidt, Danilo Marcello; Böttcher, Lena; Wilberg, Julian; Kammerl, Daniel; Lindemann, Udo

2016-01-01

Dealing with knowledge as a relevant resource and factor for production has become increasingly important in the course of globalization. This work focuses on questions about transferring knowledge when many companies work together in a cluster of enterprises. We developed a model of this transfer based on the theory of clusters from the New Institutional Economics’ point of view and based on existing theories about knowledge and knowledge transfer. This theoretical construct is evaluated and...

Mature women and the New Zealand qualifications framework. realising the potential of recognising prior learning

OpenAIRE

Kamp, Annelies

2003-01-01

Against a backtground of 'second-wave' lifelong learning in Aotearoa New Zealand a new framework for post-compulsory national qualfications was introduced. The restulting competency-based system was argued to present a number of benefits for mature women including flexibility in curriculum and delivery and portability across educational sectors. Competency-based education was to include provision for recognition of prior skills and knowledge gained in formal learning environments and the work...

The Prior Internet Resources 2017

DEFF Research Database (Denmark)

Engerer, Volkmar Paul; Albretsen, Jørgen

2017-01-01

The Prior Internet Resources (PIR) are presented. Prior’s unpublished scientific manuscripts and his wast letter correspondence with fellow researchers at the time, his Nachlass, is now subject to transcription by Prior-researchers worldwide, and form an integral part of PIR. It is demonstrated...

Knowledge work productivity effect on quality of knowledge work in software development process in SME

Science.gov (United States)

Yusoff, Mohd Zairol; Mahmuddin, Massudi; Ahmad, Mazida

2016-08-01

Knowledge and skill are necessary to develop the capability of knowledge workers. However, there is very little understanding of what the necessary knowledge work (KW) is, and how they influence the quality of knowledge work or knowledge work productivity (KWP) in software development process, including that in small and medium-sized (SME) enterprise. The SME constitutes a major part of the economy and it has been relatively unsuccessful in developing KWP. Accordingly, this paper seeks to explore the influencing dimensions of KWP that effect on the quality of KW in SME environment. First, based on the analysis of the existing literatures, the key characteristics of KW productivity are defined. Second, the conceptual model is proposed, which explores the dimensions of the KWP and its quality. This study analyses data collected from 150 respondents (based on [1], who involve in SME in Malaysia and validates the models by using structural equation modeling (SEM). The results provide an analysis of the effect of KWP on the quality of KW and business success, and have a significant relevance for both research and practice in the SME

Quantity and structure of word knowledge across adulthood.

Science.gov (United States)

Salthouse, Timothy A

2014-09-01

Cross-sectional and longitudinal data from moderately large samples of healthy adults confirmed prior findings of age-related declines in measures of the quantity of word knowledge beginning around age 65. Additional analyses were carried out to investigate the interrelations of different types of vocabulary knowledge at various periods in adulthood. Although the organizational structures were similar in adults of different ages, scores on tests with different formats had weaker relations to a higher-order vocabulary construct beginning when adults were in their 60's. The within-person dispersion among different vocabulary test scores was also greater after about 65 years of age. The discovery of quantitative decreases in amount of knowledge occurring at about the same age as qualitative shifts in the structure of knowledge raises the possibility that the two types of changes may be causally linked.

Knowledge of Primary Care Physicians Regarding Domestic Violence.

African Journals Online (AJOL)

Knowledge of Primary Care Physicians Regarding Domestic Violence. ... prevalence of DV, and 4 main aspects relevant to DV, namely deprivation, psychological, ... and instructions about DV from scientific formal sources as medical schools, ...

Substance Of Library: Knowledge In Prehistory

Directory of Open Access Journals (Sweden)

Hasan S. Keseroğlu

2005-09-01

Full Text Available The purpose of this work is based on seeking an answer to the question what the primal substance of the library, its arch is. While considering the prehistoric situation of “knowledge” emerging as an answer to that question and the production of knowledge and its transfer to next generations by primitive (legend based groups in prehistoric times, the hypothesis of the work is that knowledge existed in prehistoric times and its prior and main owners and controllers were magicians. Scientific development covers the phases of magic, religion and mind. During prehistoric times of magic there was no writing but knowledge reflecting characteristics of scientific disciplines of nowadays and especially important developments in the field of classification are to be observed. Besides, in prehistoric times the meaning of magic covers the concept of knowledge and the meaning of magician covers the concept of the one who knows, who is wise. The other way, it would be impossible to explain the rush production tablets with the invention of writing.

Knowledge transfer in family business successions

DEFF Research Database (Denmark)

Boyd, Britta; Royer, Susanne; Pei, Rong

2015-01-01

are compared with each other and conclusions for both cases are drawn. Implications for theory and practice as well as avenues for future research are sketched. Originality/value – The focus of the current study is to gain more insight into long-lived family businesses by comparing two cases over a period......Purpose – Knowledge often is the fundament for strategic competitive advantage. Thus, it is highly relevant to understand better how knowledge is transferred from one generation to the next in family businesses. The purpose of this paper is to link the competitive advantage realisation in family...... businesses to the success of transferring strategically valuable knowledge in different business environments to the next generation. Design/methodology/approach – Building on the contingency model of family business succession (Royer et al., 2008) knowledge transfer in family businesses from different...

Phantom experiments using soft-prior regularization EIT for breast cancer imaging.

Science.gov (United States)

Murphy, Ethan K; Mahara, Aditya; Wu, Xiaotian; Halter, Ryan J

2017-06-01

A soft-prior regularization (SR) electrical impedance tomography (EIT) technique for breast cancer imaging is described, which shows an ability to accurately reconstruct tumor/inclusion conductivity values within a dense breast model investigated using a cylindrical and a breast-shaped tank. The SR-EIT method relies on knowing the spatial location of a suspicious lesion initially detected from a second imaging modality. Standard approaches (using Laplace smoothing and total variation regularization) without prior structural information are unable to accurately reconstruct or detect the tumors. The soft-prior approach represents a very significant improvement to these standard approaches, and has the potential to improve conventional imaging techniques, such as automated whole breast ultrasound (AWB-US), by providing electrical property information of suspicious lesions to improve AWB-US's ability to discriminate benign from cancerous lesions. Specifically, the best soft-regularization technique found average absolute tumor/inclusion errors of 0.015 S m -1 for the cylindrical test and 0.055 S m -1 and 0.080 S m -1 for the breast-shaped tank for 1.8 cm and 2.5 cm inclusions, respectively. The standard approaches were statistically unable to distinguish the tumor from the mammary gland tissue. An analysis of false tumors (benign suspicious lesions) provides extra insight into the potential and challenges EIT has for providing clinically relevant information. The ability to obtain accurate conductivity values of a suspicious lesion (>1.8 cm) detected from another modality (e.g. AWB-US) could significantly reduce false positives and result in a clinically important technology.

Teachers’ knowledge for teaching compound interest

Directory of Open Access Journals (Sweden)

Craig Pournara

2013-11-01

Full Text Available There is increasing acknowledgement that teachers’ knowledge for teaching mathematics is multifaceted and topic specific. Given the paucity of research on the teaching and learning of financial mathematics in general, little can be known about teachers’ knowledge for teaching compound interest. However, since financial mathematics is a component of the school curriculum in South Africa, and an important element of financial literacy more broadly, attention needs to be given to knowledge for teaching financial mathematics, and compound interest in particular. Drawing from a larger study in which the author taught a financial mathematics course to pre-service secondary mathematics teachers, a theoretical elaboration is provided of the underlying mathematics of compound interest, and connections with the world of banking. Based on findings from the study, two key student errors are identified: the over-generalisation of linear thinking in multiplicative scenarios, and the over-generalisation of reversible operations in percentage-change scenarios. Taken together, teachers’ knowledge of relevant mathematics, of the banking context and of learners’ conceptions will contribute to building a knowledge-base for teachers’ knowledge for teaching compound interest.

The relevance of behavioural sciences in dental practice

DEFF Research Database (Denmark)

Schou, L

2000-01-01

includes compliance with certain oral hygiene regimens or specific dental visiting patterns. The outcome of the treatment depends on both the dental professional's knowledge and skills and the patient's skills, objectives and expectations. Furthermore, dental professionals and patients should be satisfied......The aim of this paper is to illustrate how knowledge from behavioural sciences is necessary and relevant in creating a successful dental practice, benefitting patients and dental professionals. There are many ways to create a successful dental practice, the products of which are the various...... treatments performed by dentists or dental hygienists for their patients. Advanced technologies and methods are constantly improving these treatments and thus the technical and managerial aspects of dentistry. However, the success of dental practice is not only dependent on the technique applied...

Culturally relevant model program to prevent and reduce agricultural injuries.

Science.gov (United States)

Helitzer, D L; Hathorn, G; Benally, J; Ortega, C

2014-07-01

Limited research has explored pesticide injury prevention among American Indian farmers. In a five-year agricultural intervention, a university-community partnership, including the University of New Mexico School of Medicine, New Mexico State University, Shiprock Area Cooperative Extension Service, and Navajo Nation communities, used a culturally relevant model to introduce and maintain safe use of integrated pest management techniques. We applied the Diffusion of Innovations theory and community-based approaches to tailor health promotion strategies for our intervention. In a longitudinal study with repeated measures, we trained six "model farmers" to be crop management experts in pesticide safety, application, and control. Subsequently, these model farmers worked with 120 farm families randomized into two groups: intervention (Group 1) and delayed intervention (Group 2). Measurements included a walk-through analysis, test of knowledge and attitudes, and yield analysis. Both groups demonstrated improvements in pesticide storage behaviors after training. Test scores regarding safety practices improved significantly: from 57.3 to 72.4 for Group 1 and from 52.6 to 76.3 for Group 2. Group 1 maintained their knowledge and safety practices after the intervention. Attitudes about pesticides and communication of viewpoints changed across the study years. With pesticides and fertilizer, the number of corn ears increased by 56.3% and yield (kg m(-2)) of alfalfa increased by 41.2%. The study combined traditional farming practices with culturally relevant approaches and behavior change theory to affect knowledge, safety practices, attitudes, communication channels, and crop yield. Storage behaviors, use of pesticides and safety and application equipment, and safety practice knowledge changed significantly, as did attitudes about social networking, social support, and the compatibility and relative advantage of pesticides for farms.

Teaching genetics prior to teaching evolution improves evolution understanding but not acceptance

Science.gov (United States)

Mead, Rebecca; Hejmadi, Momna

2017-01-01

What is the best way to teach evolution? As microevolution may be configured as a branch of genetics, it being a short conceptual leap from understanding the concepts of mutation and alleles (i.e., genetics) to allele frequency change (i.e., evolution), we hypothesised that learning genetics prior to evolution might improve student understanding of evolution. In the UK, genetics and evolution are typically taught to 14- to 16-y-old secondary school students as separate topics with few links, in no particular order and sometimes with a large time span between. Here, then, we report the results of a large trial into teaching order of evolution and genetics. We modified extant questionnaires to ascertain students’ understanding of evolution and genetics along with acceptance of evolution. Students were assessed prior to teaching, immediately post teaching and again after several months. Teachers were not instructed what to teach, just to teach in a given order. Regardless of order, teaching increased understanding and acceptance, with robust signs of longer-term retention. Importantly, teaching genetics before teaching evolution has a significant (p Teaching genetics first additionally had positive effects on genetics understanding, by increasing knowledge. These results suggest a simple, minimally disruptive, zero-cost intervention to improve evolution understanding: teach genetics first. This same alteration does not, however, result in a significantly increased acceptance of evolution, which reflects a weak correlation between knowledge and acceptance of evolution. Qualitative focus group data highlights the role of authority figures in determination of acceptance. PMID:28542179

Teaching genetics prior to teaching evolution improves evolution understanding but not acceptance.

Science.gov (United States)

Mead, Rebecca; Hejmadi, Momna; Hurst, Laurence D

2017-05-01

What is the best way to teach evolution? As microevolution may be configured as a branch of genetics, it being a short conceptual leap from understanding the concepts of mutation and alleles (i.e., genetics) to allele frequency change (i.e., evolution), we hypothesised that learning genetics prior to evolution might improve student understanding of evolution. In the UK, genetics and evolution are typically taught to 14- to 16-y-old secondary school students as separate topics with few links, in no particular order and sometimes with a large time span between. Here, then, we report the results of a large trial into teaching order of evolution and genetics. We modified extant questionnaires to ascertain students' understanding of evolution and genetics along with acceptance of evolution. Students were assessed prior to teaching, immediately post teaching and again after several months. Teachers were not instructed what to teach, just to teach in a given order. Regardless of order, teaching increased understanding and acceptance, with robust signs of longer-term retention. Importantly, teaching genetics before teaching evolution has a significant (p genetics was taught first. Teaching genetics first additionally had positive effects on genetics understanding, by increasing knowledge. These results suggest a simple, minimally disruptive, zero-cost intervention to improve evolution understanding: teach genetics first. This same alteration does not, however, result in a significantly increased acceptance of evolution, which reflects a weak correlation between knowledge and acceptance of evolution. Qualitative focus group data highlights the role of authority figures in determination of acceptance.

Laevo: A Temporal Desktop Interface for Integrated Knowledge Work

DEFF Research Database (Denmark)

Jeuris, Steven; Houben, Steven; Bardram, Jakob

2014-01-01

Prior studies show that knowledge work is characterized by highly interlinked practices, including task, file and window management. However, existing personal information management tools primarily focus on a limited subset of knowledge work, forcing users to perform additional manual...... states and transitions of an activity. The life cycle is used to inform the design of Laevo, a temporal activity-centric desktop interface for personal knowledge work. Laevo allows users to structure work within dedicated workspaces, managed on a timeline. Through a centralized notification system which...... configuration work to integrate the different tools they use. In order to understand tool usage, we review literature on how users' activities are created and evolve over time as part of knowledge worker practices. From this we derive the activity life cycle, a conceptual framework describing the different...

How Does Knowledge Promote Memory? The Distinctiveness Theory of Skilled Memory

Science.gov (United States)

Rawson, Katherine A.; Van Overschelde, James P.

2008-01-01

The robust effects of knowledge on memory for domain-relevant information reported in previous research have largely been attributed to improved organizational processing. The present research proposes the distinctiveness theory of skilled memory, which states that knowledge improves memory not only through improved organizational processing but…

Prior art relevant to active beads patent application

CSIR Research Space (South Africa)

Moolman, S

2002-06-01

Full Text Available -extrusion of shell (gelatin) and core (oral refrigerant or spice condiment) US 4,332,790 Nestlé patent on manufacturing fat microcapsules containing micro-organisms Patents cited by International Search Report on previous application US 5,543,162 Polymeric...

Information Technology and Knowledge Processes : - an Uneasy Couple?

DEFF Research Database (Denmark)

Brøndsted, J.; Christiansen, N.; Nicolajsen, Hanne Westh

2001-01-01

, are both very relevant, interrelated and mutually enabling aspects of the organizational knowledge processes. However it seems as it the research on IT in knowledge management has been primarily concerned with knowledge. We argue that there is a need for studying the work practices in a socio......In this paper we apply the framework of Cook and Brown (1999) to gain a broader perspective on the role of IT in organizational knowledge creation and use. The framework of Cook and Brown suggests that knowledge, as something people possess, and knowing, as the epistemic work done in action......-technical perspective taking the interconnected relationship between knowledge and knowing into account. We explore the role of IT in knowledge processes by studying three different practices. These practices are a pre-defense of a Ph.D. dissertation using a video conferencing system in the area of geophysics...

A comparison of the value relevance of interim and annual financial statements

Directory of Open Access Journals (Sweden)

Mbalenhle Zulu

2017-03-01

Aim: It explores whether the value relevance of interim financial statements is higher than the value relevance of annual financial statements. Finally, it investigates whether accounting information published in interim and annual financial statements has incremental value relevance. Setting: Data for the period from 1999 to 2012 were collected from a sample of non-financial companies listed on the Johannesburg Stock Exchange. Method: The Ohlson model to investigate the value relevance of accounting information was used for the study. Results: The results show that interim book value of equity is value relevant while interim earnings are not. Interim financial statements appear to have higher value relevance than annual financial statements. The value relevance of interim and annual accounting information has remained fairly constant over the sample period. Incremental comparisons provide evidence that additional book value of equity and earnings that accrue to a company between interim and annual reporting dates are value relevant. Conclusion: The study was conducted over a long sample period (1999–2012, in an era when a technology-driven economy and more timely reporting media could have had an effect on the value relevance of published accounting information. To the best of our knowledge, this is the first study to evaluate and compare the value relevance of published interim and annual financial statements.

Integrated learning: Ways of fostering the applicability of teachers’ pedagogical and psychological knowledge

Directory of Open Access Journals (Sweden)

Nora eHarr

2015-06-01

Full Text Available In teacher education, general pedagogical and psychological knowledge is often taught separately from the teaching subject itself, potentially leading to inert knowledge. In an experimental study with 69 mathematics student teachers, we tested the benefits of fostering the integration of pedagogical content knowledge and general pedagogical and psychological knowledge with respect to knowledge application. Integration was fostered either by integrating the contents or by prompting the learners to integrate separately-taught knowledge. Fostering integration, as compared to a separate presentation without integration help, led to more applicable pedagogical and psychological knowledge and greater simultaneous application of pedagogical and psychological knowledge and pedagogical content knowledge. The advantages of fostering knowledge integration were not moderated by the student teachers’ prior knowledge or working memory capacity. A disadvantage of integrating different knowledge types referred to increased learning times.

A Connective Ethnography of Peer Knowledge Sharing and Diffusion in a Tween Virtual World

Science.gov (United States)

Fields, Deborah A.; Kafai, Yasmin B.

2009-01-01