An Electrophysiological Index of Perceptual Goodness

PubMed Central

Makin, Alexis D.J.; Wright, Damien; Rampone, Giulia; Palumbo, Letizia; Guest, Martin; Sheehan, Rhiannon; Cleaver, Helen; Bertamini, Marco

2016-01-01

A traditional line of work starting with the Gestalt school has shown that patterns vary in strength and salience; a difference in “Perceptual goodness.” The Holographic weight of evidence model quantifies goodness of visual regularities. The key formula states that W = E/N, where E is number of holographic identities in a pattern and N is number of elements. We tested whether W predicts the amplitude of the neural response to regularity in an extrastriate symmetry-sensitive network. We recorded an Event Related Potential (ERP) generated by symmetry called the Sustained Posterior Negativity (SPN). First, we reanalyzed the published work and found that W explained most variance in SPN amplitude. Then in four new studies, we confirmed specific predictions of the holographic model regarding 1) the differential effects of numerosity on reflection and repetition, 2) the similarity between reflection and Glass patterns, 3) multiple symmetries, and 4) symmetry and anti-symmetry. In all cases, the holographic approach predicted SPN amplitude remarkably well; particularly in an early window around 300–400 ms post stimulus onset. Although the holographic model was not conceived as a model of neural processing, it captures many details of the brain response to symmetry. PMID:27702812

Reflexion on linear regression trip production modelling method for ensuring good model quality

NASA Astrophysics Data System (ADS)

Suprayitno, Hitapriya; Ratnasari, Vita

2017-11-01

Transport Modelling is important. For certain cases, the conventional model still has to be used, in which having a good trip production model is capital. A good model can only be obtained from a good sample. Two of the basic principles of a good sampling is having a sample capable to represent the population characteristics and capable to produce an acceptable error at a certain confidence level. It seems that this principle is not yet quite understood and used in trip production modeling. Therefore, investigating the Trip Production Modelling practice in Indonesia and try to formulate a better modeling method for ensuring the Model Quality is necessary. This research result is presented as follows. Statistics knows a method to calculate span of prediction value at a certain confidence level for linear regression, which is called Confidence Interval of Predicted Value. The common modeling practice uses R2 as the principal quality measure, the sampling practice varies and not always conform to the sampling principles. An experiment indicates that small sample is already capable to give excellent R2 value and sample composition can significantly change the model. Hence, good R2 value, in fact, does not always mean good model quality. These lead to three basic ideas for ensuring good model quality, i.e. reformulating quality measure, calculation procedure, and sampling method. A quality measure is defined as having a good R2 value and a good Confidence Interval of Predicted Value. Calculation procedure must incorporate statistical calculation method and appropriate statistical tests needed. A good sampling method must incorporate random well distributed stratified sampling with a certain minimum number of samples. These three ideas need to be more developed and tested.

Vector Adaptive/Predictive Encoding Of Speech

NASA Technical Reports Server (NTRS)

Chen, Juin-Hwey; Gersho, Allen

1989-01-01

Vector adaptive/predictive technique for digital encoding of speech signals yields decoded speech of very good quality after transmission at coding rate of 9.6 kb/s and of reasonably good quality at 4.8 kb/s. Requires 3 to 4 million multiplications and additions per second. Combines advantages of adaptive/predictive coding, and code-excited linear prediction, yielding speech of high quality but requires 600 million multiplications and additions per second at encoding rate of 4.8 kb/s. Vector adaptive/predictive coding technique bridges gaps in performance and complexity between adaptive/predictive coding and code-excited linear prediction.

Concept analysis of good death in long term care residents.

PubMed

Krishnan, Preetha

2017-01-02

The purpose of this concept analysis paper is to delineate the meaning of good death in long term care (LTC) settings and examine its implications for nursing. The Walker and Avant (2011) method was chosen for this analysis. An in depth literature review identifies uses of the concept and determines the defining attributes of the good death. This paper also illustrates case presentations, antecedents, consequences, empirical referents and implications for clinical practice to clarify the concept of 'good death' in this population. In LTC, death is experienced frequently and is considered the ultimate outcome for most admissions. Much of the existing research on end-of-life care has focused on community dwelling cancer patients whose death trajectory is predictable and who may remain cognitively intact until actively dying. In contrast, the LTC population is older and more likely to suffer from dementia and experience chronic illness for long periods prior to death, and they follow a less predictable death trajectory. In this century, death became the province of older people and the assurance of a good death became the responsibility of those caring for them.

Clinical outcomes and predictive factors related to good outcomes in plasma exchange in severe attack of NMOSD and long extensive transverse myelitis: Case series and review of the literature.

PubMed

Aungsumart, Saharat; Apiwattanakul, Metha

2017-04-01

To investigate the predictive factors associated with good outcomes of plasma exchange in severe attacks through neuromyelitis optica spectrum disorder (NMOSD) and long extensive transverse myelitis (LETM). In addition, to review the literature of predictive factors associated with the good outcomes of plasma exchange in central nervous system inflammatory demyelinating diseases (CNS IDDs). Retrospective study in 27 episodes of severe acute attacks myelitis and optic neuritis in 24 patients, including 20 patients with NMOSD seropositive, 1 patient with NMOSD seronegative and 3 patients with LETM. Plasma exchange was performed, reflecting poor responses to high-dose intravenous methylprednisolone (IVMP) therapy. The outcomes of the present study were the functional outcome improvements at 6 months after plasma exchange. The predictive factors of good outcomes after plasma exchange were determined in this cohort, and additional factors reported in the literature were reviewed. Plasma exchange was performed in 16 spinal cord attacks and 11 attacks of optic neuritis. Twenty patients were female (83%). The median age of the patients at the time of plasma exchange was 41 years old. The median disease duration was 0.6 years. The AQP4-IgG status was positive in 20 patients (83%). Plasma exchange following IVMP therapy led to a significant improvement in 81% of the cases after 6 months of follow up. A baseline Expanded Disability Status Scale (EDSS) score ≤6 before the attack was associated with significant improvement at 6 months (p=0.02, OR 58.33, 95%CI 1.92-1770). In addition, we reviewed the evidence for factors associated with good outcomes of plasma exchange in CNS IDDs, classified according to pre-plasma exchange, post-plasma exchange, and radiological features. Plasma exchange following IVMP therapy is effective as a treatment for patients experiencing a severe attack of NMOSD or LETM. The factors associated with good outcomes after plasma exchange in CNS IDDs are

S100A8+ stroma cells predict a good prognosis and inhibit aggressiveness in colorectal carcinoma.

PubMed

Li, Si; Xu, Fangying; Li, Hui; Zhang, Jing; Zhong, Anjing; Huang, Bin; Lai, Maode

2017-01-01

Gene microarray and bioinformatic analysis showed that S100A8 was more abundant in the stroma surrounding tumor buddings (TBs) than in the stroma surrounding primary tumor cells in colorectal carcinomas. Here, S100A8 + cells in 419 colorectal carcinoma samples were stained by immunohistochemistry and counted using Image-pro plus 6.0. TBs were also counted and biomarkers associated with the epithelial-mesenchymal transition and apoptosis were assessed by immunohistochemistry. We evaluated the association between S100A8 + cells and clinico-pathological variables as well as survival. Migration and invasion as well as biomarkers of the epithelial-mesenchymal transition and apoptosis were tested in CRC cells, treated with graded concentrations of recombinant human S100A8 protein. We found that the density of S100A8 + cells in the tumor invasive front (S100A8 + TIF ) clearly distinguished patients with 5-y survival from those who did not survive ( p = 0.01). The S100A8 + -associated tumor budding (SATB) index determined by the S100A8 + TIF and TB was an independent predictor of overall survival ( p = 0.001) other than the S100A8 + TIF or TB alone. Migration and invasion properties of CRC cells were inhibited by recombinant human S100A8 treatment. The particular S100A8 + cells in the stroma were associated with important biomarkers of the epithelial-mesenchymal transition (E-cadherin and SNAIL) and apoptosis (BCL2). In conclusion, S100A8 + cells in the stroma predict a good prognosis in colorectal carcinoma. An index combining S100A8 + cells and TB independently predicts survival. Recombinant human S100A8 inhibited CRC cell migration and invasion, which was involved in epithelial-mesenchymal transition (E-cadherin and SNAIL) and apoptosis (BCL2).

S100A8+ stroma cells predict a good prognosis and inhibit aggressiveness in colorectal carcinoma

PubMed Central

Li, Si; Xu, Fangying; Li, Hui; Zhang, Jing; Zhong, Anjing; Huang, Bin; Lai, Maode

2017-01-01

ABSTRACT Gene microarray and bioinformatic analysis showed that S100A8 was more abundant in the stroma surrounding tumor buddings (TBs) than in the stroma surrounding primary tumor cells in colorectal carcinomas. Here, S100A8+ cells in 419 colorectal carcinoma samples were stained by immunohistochemistry and counted using Image-pro plus 6.0. TBs were also counted and biomarkers associated with the epithelial–mesenchymal transition and apoptosis were assessed by immunohistochemistry. We evaluated the association between S100A8+ cells and clinico-pathological variables as well as survival. Migration and invasion as well as biomarkers of the epithelial–mesenchymal transition and apoptosis were tested in CRC cells, treated with graded concentrations of recombinant human S100A8 protein. We found that the density of S100A8+ cells in the tumor invasive front (S100A8+TIF) clearly distinguished patients with 5-y survival from those who did not survive (p = 0.01). The S100A8+-associated tumor budding (SATB) index determined by the S100A8+TIF and TB was an independent predictor of overall survival (p = 0.001) other than the S100A8+TIF or TB alone. Migration and invasion properties of CRC cells were inhibited by recombinant human S100A8 treatment. The particular S100A8+ cells in the stroma were associated with important biomarkers of the epithelial–mesenchymal transition (E-cadherin and SNAIL) and apoptosis (BCL2). In conclusion, S100A8+ cells in the stroma predict a good prognosis in colorectal carcinoma. An index combining S100A8+ cells and TB independently predicts survival. Recombinant human S100A8 inhibited CRC cell migration and invasion, which was involved in epithelial–mesenchymal transition (E-cadherin and SNAIL) and apoptosis (BCL2). PMID:28197382

Bounded rationality in volunteering public goods games.

PubMed

Xu, Zhaojin; Wang, Zhen; Zhang, Lianzhong

2010-05-07

It is one of the fundamental problems in biology and social sciences how to maintain high levels of cooperation among selfish individuals. Theorists present an effective mechanism promoting cooperation by allowing for voluntary participation in public goods games. But Nash's theory predicts that no one can do better or worse than loners (players unwilling to join the public goods game) in the long run, and that the frequency of participants is independent of loners' payoff. In this paper, we introduce a degree of rationality and investigate the model by means of an approximate best response dynamics. Our research shows that the payoffs of the loners have a significant effect in anonymous voluntary public goods games by this introduction and that the dynamics will drive the system to a fixed point, which is different from the Nash equilibrium. In addition, we also qualitatively explain the existing experimental results. Copyright (c) 2010 Elsevier Ltd. All rights reserved.

Rainmakers: why bad weather means good productivity.

PubMed

Lee, Jooa Julia; Gino, Francesca; Staats, Bradley R

2014-05-01

People believe that weather conditions influence their everyday work life, but to date, little is known about how weather affects individual productivity. Contrary to conventional wisdom, we predict and find that bad weather increases individual productivity and that it does so by eliminating potential cognitive distractions resulting from good weather. When the weather is bad, individuals appear to focus more on their work than on alternate outdoor activities. We investigate the proposed relationship between worse weather and higher productivity through 4 studies: (a) field data on employees' productivity from a bank in Japan, (b) 2 studies from an online labor market in the United States, and (c) a laboratory experiment. Our findings suggest that worker productivity is higher on bad-, rather than good-, weather days and that cognitive distractions associated with good weather may explain the relationship. We discuss the theoretical and practical implications of our research. (c) 2014 APA, all rights reserved.

Normal stress-only myocardial single photon emission computed tomography predicts good outcome in patients with coronary artery stenoses between 40 and 70.

PubMed

Jiang, Zhixin; Liu, Yangqing; Xin, Chaofan; Zhou, Yanli; Wang, Cheng; Zhao, Zhongqiang; Li, Chunxiang; Li, Dianfu

2016-09-01

Normal stress myocardial single photon emission computed tomography (SPECT) usually indicates good physiologic function of all coronary lesions, and also indicates a good outcome. We hypothesize that it can still predict good outcome in patients with coronary stenoses between 40 and 70%. A group of patients who underwent stress myocardial SPECT after coronary angiography were consecutively recruited in our center. Patients were eligible if they had one or more coronary stenoses between 40 and 70%. Patients with coronary stenoses greater than 50% diameter of left main or greater than 70% diameter of nonleft main epicardial vessels, and left ventricular ejection fraction less than 50% were excluded. The outcome was defined as major adverse events, including cardiac death, nonfatal myocardial infarction, and revascularization. Patients' survival curves were constructed accorded to the method of Kaplan and Meier and compared using the log-rank test. A study cohort of 77 patients was enrolled. According to the summed stress score, 43 patients were assigned to the perfusion defect group and 34 patients were assigned to the perfusion normal group. The follow-up duration was 6.4±0.3 years. In the perfusion normal group, only one of 34 (2.9%) patients developed major adverse events. In the perfusion defect group, six of 43 (14%) developed major adverse events, P-value of 0.041. It is safe to defer a percutaneous coronary intervention in patients with coronary stenoses between 40 and 70% and normal stress myocardial SPECT.

Perceptual and Acoustic Analyses of Good Voice Quality in Male Radio Performers.

PubMed

Warhurst, Samantha; Madill, Catherine; McCabe, Patricia; Ternström, Sten; Yiu, Edwin; Heard, Robert

2017-03-01

Good voice quality is an asset to professional voice users, including radio performers. We examined whether (1) voices could be reliably categorized as good for the radio and (2) these categories could be predicted using acoustic measures. Male radio performers (n = 24) and age-matched male controls performed "The Rainbow Passage" as if presenting on the radio. Voice samples were rated using a three-stage paired-comparison paradigm by 51 naive listeners and perceptual categories were identified (Study 1), and then analyzed for fundamental frequency, long-term average spectrum, cepstral peak prominence, and pause or spoken-phrase duration (Study 2). Study 1: Good inter-judge reliability was found for perceptual judgments of the best 15 voices (good for radio category, 14/15 = radio performers), but agreement on the remaining 33 voices (unranked category) was poor. Study 2: Discriminant function analyses showed that the SD standard deviation of sounded portion duration, equivalent sound level, and smoothed cepstral peak prominence predicted membership of categories with moderate accuracy (R 2  = 0.328). Radio performers are heterogeneous for voice quality; good voice quality was judged reliably in only 14 out of 24 radio performers. Current acoustic analyses detected some of the relevant signal properties that were salient in these judgments. More refined perceptual analysis and the use of other perceptual methods might provide more information on the complex nature of judging good voices. Copyright © 2017 The Voice Foundation. Published by Elsevier Inc. All rights reserved.

Runaway sexual selection leads to good genes.

PubMed

Chandler, Christopher H; Ofria, Charles; Dworkin, Ian

2013-01-01

Mate choice and sexual displays are widespread in nature, but their evolutionary benefits remain controversial. Theory predicts these traits can be favored by runaway sexual selection, in which preference and display reinforce one another due to genetic correlation; or by good genes benefits, in which mate choice is advantageous because extreme displays indicate a well-adapted genotype. However, these hypotheses are not mutually exclusive, and the adaptive benefits underlying mate choice can themselves evolve. In particular, examining how and why sexual displays become indicators of good genes is challenging in natural systems. Here, we use experimental evolution in "digital organisms" to demonstrate the origins of condition-dependent indicator displays following their spread due to a runaway process. Surprisingly, handicap-like costs are not necessary for displays to become indicators of male viability. Instead, a pleiotropic genetic architecture underlies both displays and viability. Runaway sexual selection and good genes benefits should thus be viewed as interacting mechanisms that reinforce one another. © 2012 The Author(s). Evolution© 2012 The Society for the Study of Evolution.

When bad stress goes good: increased threat reactivity predicts improved category learning performance.

PubMed

Ell, Shawn W; Cosley, Brandon; McCoy, Shannon K

2011-02-01

The way in which we respond to everyday stressors can have a profound impact on cognitive functioning. Maladaptive stress responses in particular are generally associated with impaired cognitive performance. We argue, however, that the cognitive system mediating task performance is also a critical determinant of the stress-cognition relationship. Consistent with this prediction, we observed that stress reactivity consistent with a maladaptive, threat response differentially predicted performance on two categorization tasks. Increased threat reactivity predicted enhanced performance on an information-integration task (i.e., learning is thought to depend upon a procedural-based memory system), and a (nonsignificant) trend for impaired performance on a rule-based task (i.e., learning is thought to depend upon a hypothesis-testing system). These data suggest that it is critical to consider both variability in the stress response and variability in the cognitive system mediating task performance in order to fully understand the stress-cognition relationship.

Good Education, the Good Teacher, and a Practical Art of Living a Good Life: A Catholic Perspective

ERIC Educational Resources Information Center

Hermans, Chris

2017-01-01

What is good education? We value education for reasons connected to the good provided by education in society. This good is connected to be the pedagogical aim of education. This article distinguishes five criteria for good education based on the concept of "Bildung". Next, these five criteria are used to develop the idea of the good…

PREDICTING CLIMATE-INDUCED RANGE SHIFTS FOR MAMMALS: HOW GOOD ARE THE MODELS?

EPA Science Inventory

In order to manage wildlife and conserve biodiversity, it is critical that we understand the potential impacts of climate change on species distributions. Several different approaches to predicting climate-induced geographic range shifts have been proposed to address this proble...

A Joyful Heart is Good Medicine: Positive Affect Predicts Memory Complaints.

PubMed

Lee, Pai-Lin

2016-08-01

Positive affect (PA) systematically improves cognitive performance on a wide range of cognitive tasks, but the link between PA and subjective memory complaints (SMCs) is unclear. The aim of this study was to investigate the associations between PA (level and change) and SMCs over a 10-year span. Current data included participants who completed all measures in the Midlife in the US Study (N = 2,214; age range: 50-84 years; mean: 62.81; standard deviation [SD]: 8.98). The level (mean of Time 1 and Time 2) and change (Time 2 minus Time 1) of PA was examined longitudinally to determine if PA predicts SMCs. The long-term level and change of PA predicted SMCs. No age and education differences were found for the effects of PA (PA × age and PA × education) on SMCs. Additional comparison analysis found high PA (+1 SD) differs from low PA (-1 SD) on age, financial condition and depression, and physical activity. This study provides longitudinal evidence that further supports PA is associated with a key cognitive aging outcome, SMCs. Effective cognitive-health programs may need to pay more attention to PA intervention. Copyright © 2016 American Association for Geriatric Psychiatry. Published by Elsevier Inc. All rights reserved.

Do quality indicators for general practice teaching practices predict good outcomes for students?

PubMed

Bartlett, Maggie; Potts, Jessica; McKinley, Bob

2016-07-01

Keele medical students spend 113 days in general practices over our five-year programme. We collect practice data thought to indicate good quality teaching. We explored the relationships between these data and two outcomes for students; Objective Structured Clinical Examination (OSCE) scores and feedback regarding the placements. Though both are surrogate markers of good teaching, they are widely used. We collated practice and outcome data for one academic year. Two separate statistical analyses were carried out: (1) to determine how much of the variation seen in the OSCE scores was due to the effect of the practice and how much to the individual student. (2) to identify practice characteristics with a relationship to student feedback scores. (1) OSCE performance: 268 students in 90 practices: six quality indicators independently influenced the OSCE score, though without linear relationships and not to statistical significance. (2) Student satisfaction: 144 students in 69 practices: student feedback scores are not influenced by practice characteristics. The relationships between the quality indicators we collect for practices and outcomes for students are not clear. It may be that neither the quality indicators nor the outcome measures are reliable enough to inform decisions about practices' suitability for teaching.

Ecosystem Science: measuring, mapping and predicting the production of nature’s goods and services

EPA Science Inventory

Our existence, let alone our well-being, depends on “goods and services” produced by ecosystems (food, purification of water and air, outdoor recreation, etc.). Humans have the power to enhance, protect, or degrade nature’s capacity to provide these ecosystem s...

Humor Ability Reveals Intelligence, Predicts Mating Success, and Is Higher in Males

ERIC Educational Resources Information Center

Greengross, Gil; Miller, Geoffrey

2011-01-01

A good sense of humor is sexually attractive, perhaps because it reveals intelligence, creativity, and other "good genes" or "good parent" traits. If so, intelligence should predict humor production ability, which in turn should predict mating success. In this study, 400 university students (200 men and 200 women) completed…

Future missions studies: Combining Schatten's solar activity prediction model with a chaotic prediction model

NASA Technical Reports Server (NTRS)

Ashrafi, S.

1991-01-01

K. Schatten (1991) recently developed a method for combining his prediction model with our chaotic model. The philosophy behind this combined model and his method of combination is explained. Because the Schatten solar prediction model (KS) uses a dynamo to mimic solar dynamics, accurate prediction is limited to long-term solar behavior (10 to 20 years). The Chaotic prediction model (SA) uses the recently developed techniques of nonlinear dynamics to predict solar activity. It can be used to predict activity only up to the horizon. In theory, the chaotic prediction should be several orders of magnitude better than statistical predictions up to that horizon; beyond the horizon, chaotic predictions would theoretically be just as good as statistical predictions. Therefore, chaos theory puts a fundamental limit on predictability.

[Factors predictive of good motivation to quit smoking among Moroccan smokers attending a lung disease outpatient clinic in 2008].

PubMed

Bouaïti, E; Mzouri, M; Sbaï-Idrissi, K; Razine, R; Kassouati, J; Lamrabet, M; Hassouni, F; Ouaaline, M; Benbrahim, N Fikri

2010-02-01

Motivations for cessation of smoking should be studied to determine which factors have an impact. Educational messages can then be developed to help smokers become more successful in adopting healthy behavior. The objective of our work was to determine the factors influencing the quality of motivation for smoking cessation among patients attending a lung disease clinic. Between March and June 2008, patients attending the outpatient clinical of the Moulay Youssef Hospital Department of Pneumology in Rabat were studied. Data on the smoking status and motivation to stop smoking (Richmond's test) were collected using a standardized questionnaire. A logistic regression model was developed to analyze the quality of their motivation to quit smoking. The median age for smoking the first cigarette was low (<20 years); pharmacological dependence on nicotine was low (Fagerström score<8 in 71.8%). More than a third of patients (36.6%) had already intended to cease smoking. According to the Richmond test, only 46.0% were well motivated (score>or=8). At multivariate analysis, factors predictive of a good motivation to quit smoking were a previous attempt to stop smoking (OR=5.4 [2.5-11.7]), severe disease (OR=3.7 [1.6-8.2]). Beginning the tobacco addiction before the age of 18 years was predictive of poor motivation (OR=2.7 [1.4-5.3]). Our investigation provides evidence in favor of searching for different factors which might affect motivation to stop smoking among patients seeking care in a lung disease clinic. Lung specialists, who manage the large majority of these patients should be particularly active in this area.

Delay, probability, and social discounting in a public goods game.

PubMed

Jones, Bryan A; Rachlin, Howard

2009-01-01

A human social discount function measures the value to a person of a reward to another person at a given social distance. Just as delay discounting is a hyperbolic function of delay, and probability discounting is a hyperbolic function of odds-against, social discounting is a hyperbolic function of social distance. Experiment 1 obtained individual social, delay, and probability discount functions for a hypothetical $75 reward; participants also indicated how much of an initial $100 endowment they would contribute to a common investment in a public good. Steepness of discounting correlated, across participants, among all three discount dimensions. However, only social and probability discounting were correlated with the public-good contribution; high public-good contributors were more altruistic and also less risk averse than low contributors. Experiment 2 obtained social discount functions with hypothetical $75 rewards and delay discount functions with hypothetical $1,000 rewards, as well as public-good contributions. The results replicated those of Experiment 1; steepness of the two forms of discounting correlated with each other across participants but only social discounting correlated with the public-good contribution. Most participants in Experiment 2 predicted that the average contribution would be lower than their own contribution.

An Introduction to Goodness of Fit for PMU Parameter Estimation

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

Riepnieks, Artis; Kirkham, Harold

2017-10-01

New results of measurements of phasor-like signals are presented based on our previous work on the topic. In this document an improved estimation method is described. The algorithm (which is realized in MATLAB software) is discussed. We examine the effect of noisy and distorted signals on the Goodness of Fit metric. The estimation method is shown to be performing very well with clean data and with a measurement window as short as a half a cycle and as few as 5 samples per cycle. The Goodness of Fit decreases predictably with added phase noise, and seems to be acceptable evenmore » with visible distortion in the signal. While the exact results we obtain are specific to our method of estimation, the Goodness of Fit method could be implemented in any phasor measurement unit.« less

The relationship between ischaemia-modified albumin and good coronary collateral circulation.

PubMed

Gök, Murat; Kundi, Harun; Kızıltunç, Emrullah; Topcuoglu, Canan; Ornek, Ender

2018-01-01

It is important to determine the grade of the coronary collateral circulation (CCC) in patients with stable coronary artery disease. In this study, we aimed to investigate the relationship between the ischaemia-modified albumin (IMA) level and good CCC. A total of 95 patients with coronary angiography and at least one epicardial coronary artery obstruction were included in the study. The Rentrop classification was used with CCC grading, where 0 and 1 were defined as poor collateral, and 2 and 3 were defined as good collateral. The IMA level of the patients was measured using an enzyme-linked immunosorbent assay (ELISA). The receiver-operating characteristic curve was used to show the sensitivity and specificity of IMA levels and the optimal cut-off value for predicting good CCC. The multiple logistic regression analysis revealed that the IMA level in the good CCC group was higher (p < 0.045). Conversely, the high-sensitivity C-reactive protein level was lower in the good CCC group (p < 0.023). We found an IMA cut-off value (4.7 ng/mL) that indicated good CCC level, and this shows good CCC with 70.2% sensitivity and 60.3% specificity. The IMA level could serve as a simple and useful predictor of well-developed CCC.

How Social Preferences Shape Incentives in (Experimental) Markets for Credence Goods.

PubMed

Kerschbamer, Rudolf; Sutter, Matthias; Dulleck, Uwe

2017-03-01

Credence goods markets suffer from inefficiencies caused by superior information of sellers about the surplus-maximising quality. While standard theory predicts that equal mark-up prices solve the credence goods problem if customers can verify the quality received, experimental evidence indicates the opposite. We identify a lack of robustness with respect to heterogeneity in social preferences as a possible cause of this and conduct new experiments that allow for parsimonious identification of sellers' social preference types. Our results confirm the assumed heterogeneity in social preferences and provide strong support for our explanation of the failure of verifiability to increase efficiency.

Evaluating the Predictive Validity of the Computerized Comprehension Task: Comprehension Predicts Production

PubMed Central

Friend, Margaret; Schmitt, Sara A.; Simpson, Adrianne M.

2017-01-01

Until recently, the challenges inherent in measuring comprehension have impeded our ability to predict the course of language acquisition. The present research reports on a longitudinal assessment of the convergent and predictive validity of the CDI: Words and Gestures and the Computerized Comprehension Task (CCT). The CDI: WG and the CCT evinced good convergent validity however the CCT better predicted subsequent parent reports of language production. Language sample data in the third year confirm this finding: the CCT accounted for 24% of the variance in unique word use. These studies provide evidence for the utility of a behavior-based approach to predicting the course of language acquisition into production. PMID:21928878

Predicting outcome of status epilepticus.

PubMed

Leitinger, M; Kalss, G; Rohracher, A; Pilz, G; Novak, H; Höfler, J; Deak, I; Kuchukhidze, G; Dobesberger, J; Wakonig, A; Trinka, E

2015-08-01

Status epilepticus (SE) is a frequent neurological emergency complicated by high mortality and often poor functional outcome in survivors. The aim of this study was to review available clinical scores to predict outcome. Literature review. PubMed Search terms were "score", "outcome", and "status epilepticus" (April 9th 2015). Publications with abstracts available in English, no other language restrictions, or any restrictions concerning investigated patients were included. Two scores were identified: "Status Epilepticus Severity Score--STESS" and "Epidemiology based Mortality score in SE--EMSE". A comprehensive comparison of test parameters concerning performance, options, and limitations was performed. Epidemiology based Mortality score in SE allows detailed individualization of risk factors and is significantly superior to STESS in a retrospective explorative study. In particular, EMSE is very good at detection of good and bad outcome, whereas STESS detecting bad outcome is limited by a ceiling effect and uncertainty of correct cutoff value. Epidemiology based Mortality score in SE can be adapted to different regions in the world and to advances in medicine, as new data emerge. In addition, we designed a reporting standard for status epilepticus to enhance acquisition and communication of outcome relevant data. A data acquisition sheet used from patient admission in emergency room, from the EEG lab to intensive care unit, is provided for optimized data collection. Status Epilepticus Severity Score is easy to perform and predicts bad outcome, but has a low predictive value for good outcomes. Epidemiology based Mortality score in SE is superior to STESS in predicting good or bad outcome but needs marginally more time to perform. Epidemiology based Mortality score in SE may prove very useful for risk stratification in interventional studies and is recommended for individual outcome prediction. Prospective validation in different cohorts is needed for EMSE, whereas

Good practices in free-energy calculations.

PubMed

Pohorille, Andrew; Jarzynski, Christopher; Chipot, Christophe

2010-08-19

As access to computational resources continues to increase, free-energy calculations have emerged as a powerful tool that can play a predictive role in a wide range of research areas. Yet, the reliability of these calculations can often be improved significantly if a number of precepts, or good practices, are followed. Although the theory upon which these good practices rely has largely been known for many years, it is often overlooked or simply ignored. In other cases, the theoretical developments are too recent for their potential to be fully grasped and merged into popular platforms for the computation of free-energy differences. In this contribution, the current best practices for carrying out free-energy calculations using free energy perturbation and nonequilibrium work methods are discussed, demonstrating that at little to no additional cost, free-energy estimates could be markedly improved and bounded by meaningful error estimates. Monitoring the probability distributions that underlie the transformation between the states of interest, performing the calculation bidirectionally, stratifying the reaction pathway, and choosing the most appropriate paradigms and algorithms for transforming between states offer significant gains in both accuracy and precision.

Dynamic pricing of network goods with boundedly rational consumers.

PubMed

Radner, Roy; Radunskaya, Ami; Sundararajan, Arun

2014-01-07

We present a model of dynamic monopoly pricing for a good that displays network effects. In contrast with the standard notion of a rational-expectations equilibrium, we model consumers as boundedly rational and unable either to pay immediate attention to each price change or to make accurate forecasts of the adoption of the network good. Our analysis shows that the seller's optimal price trajectory has the following structure: The price is low when the user base is below a target level, is high when the user base is above the target, and is set to keep the user base stationary once the target level has been attained. We show that this pricing policy is robust to a number of extensions, which include the product's user base evolving over time and consumers basing their choices on a mixture of a myopic and a "stubborn" expectation of adoption. Our results differ significantly from those that would be predicted by a model based on rational-expectations equilibrium and are more consistent with the pricing of network goods observed in practice.

Dynamic pricing of network goods with boundedly rational consumers

PubMed Central

Radner, Roy; Radunskaya, Ami; Sundararajan, Arun

2014-01-01

We present a model of dynamic monopoly pricing for a good that displays network effects. In contrast with the standard notion of a rational-expectations equilibrium, we model consumers as boundedly rational and unable either to pay immediate attention to each price change or to make accurate forecasts of the adoption of the network good. Our analysis shows that the seller’s optimal price trajectory has the following structure: The price is low when the user base is below a target level, is high when the user base is above the target, and is set to keep the user base stationary once the target level has been attained. We show that this pricing policy is robust to a number of extensions, which include the product’s user base evolving over time and consumers basing their choices on a mixture of a myopic and a “stubborn” expectation of adoption. Our results differ significantly from those that would be predicted by a model based on rational-expectations equilibrium and are more consistent with the pricing of network goods observed in practice. PMID:24367101

Depreciation of public goods in spatial public goods games

NASA Astrophysics Data System (ADS)

Shi, Dong-Mei; Zhuang, Yong; Li, Yu-Jian; Wang, Bing-Hong

2011-10-01

In real situations, the value of public goods will be reduced or even lost because of external factors or for intrinsic reasons. In this work, we investigate the evolution of cooperation by considering the effect of depreciation of public goods in spatial public goods games on a square lattice. It is assumed that each individual gains full advantage if the number of the cooperators nc within a group centered on that individual equals or exceeds the critical mass (CM). Otherwise, there is depreciation of the public goods, which is realized by rescaling the multiplication factor r to (nc/CM)r. It is shown that the emergence of cooperation is remarkably promoted for CM > 1 even at small values of r, and a global cooperative level is achieved at an intermediate value of CM = 4 at a small r. We further study the effect of depreciation of public goods on different topologies of a regular lattice, and find that the system always reaches global cooperation at a moderate value of CM = G - 1 regardless of whether or not there exist overlapping triangle structures on the regular lattice, where G is the group size of the associated regular lattice.

Support as a crucial predictor of good compliance of adolescents with a chronic disease.

PubMed

Kyngas, H; Rissanen, M

2001-11-01

The purpose of this study was to describe the factors that predict compliance among adolescents with a chronic illness. The data were collected by questionnaires from adolescents with asthma, epilepsy, juvenile rheumatoid arthritis (JRA) and insulin-dependent diabetes mellitus (IDDM). Groups of 300 adolescents with these illnesses were selected from the Finnish Social Insurance Institution's register, giving a total study series of 1200 individuals. The final response percentage was 88% (n = 1061). The data were analysed with the SPSS software. Logistic regression was used to indicate the predictors of good compliance. The compliance of adolescents with a chronic disease was predicted on the basis of support from parents, nurses, physicians and friends, as well as motivation, energy and willpower. The most powerful predictor was support from nurses. The likelihood of adolescents supported by nurses complying with health regimens was 7.28-fold compared to the adolescents who did not receive support from nurses. The next powerful predictor was energy and willpower. Adolescents who had the energy and willpower to take care of themselves complied with health regimens with a 6.69-fold likelihood compared to the adolescents who did not have energy and willpower. Adolescents who had good motivation were 5.28 times more likely to comply than the adolescents who did not have motivation. Support from parents, physicians and friends similarly predicted good compliance with health regimens.

Power load prediction based on GM (1,1)

NASA Astrophysics Data System (ADS)

Wu, Di

2017-05-01

Currently, Chinese power load prediction is highly focused; the paper deeply studies grey prediction and applies it to Chinese electricity consumption during the recent 14 years; through after-test test, it obtains grey prediction which has good adaptability to medium and long-term power load.

Preoperative high-resolution magnetic resonance imaging can identify good prognosis stage I, II, and III rectal cancer best managed by surgery alone: a prospective, multicenter, European study.

PubMed

Taylor, Fiona G M; Quirke, Philip; Heald, Richard J; Moran, Brendan; Blomqvist, Lennart; Swift, Ian; Sebag-Montefiore, David J; Tekkis, Paris; Brown, Gina

2011-04-01

To assess local recurrence, disease-free survival, and overall survival in magnetic resonance imaging (MRI)-predicted good prognosis tumors treated by surgery alone. The MERCURY study reported that high-resolution MRI can accurately stage rectal cancer. The routine policy in most centers involved in the MERCURY study was primary surgery alone in MRI-predicted stage II or less and in MRI "good prognosis" stage III with selective avoidance of neoadjuvant therapy. Data were collected prospectively on all patients included in the MERCURY study who were staged as MRI-defined "good" prognosis tumors. "Good" prognosis included MRI-predicted safe circumferential resection margins, with MRI-predicted T2/T3a/T3b (less than 5 mm spread from muscularis propria), regardless of MRI N stage. None received preoperative or postoperative radiotherapy. Overall survival, disease-free survival, and local recurrence were calculated. Of 374 patients followed up in the MERCURY study, 122 (33%) were defined as "good prognosis" stage III or less on MRI. Overall and disease-free survival for all patients with MRI "good prognosis" stage I, II and III disease at 5 years was 68% and 85%, respectively. The local recurrence rate for this series of patients predicted to have a good prognosis tumor on MRI was 3%. The preoperative identification of good prognosis tumors using MRI will allow stratification of patients and better targeting of preoperative therapy. This study confirms the ability of MRI to select patients who are likely to have a good outcome with primary surgery alone.

19 CFR 10.605 - Goods classifiable as goods put up in sets.

Code of Federal Regulations, 2010 CFR

2010-04-01

...-Central America-United States Free Trade Agreement Rules of Origin § 10.605 Goods classifiable as goods... 19 Customs Duties 1 2010-04-01 2010-04-01 false Goods classifiable as goods put up in sets. 10.605 Section 10.605 Customs Duties U.S. CUSTOMS AND BORDER PROTECTION, DEPARTMENT OF HOMELAND SECURITY...

Good Agreements Make Good Friends

PubMed Central

Han, The Anh; Pereira, Luís Moniz; Santos, Francisco C.; Lenaerts, Tom

2013-01-01

When starting a new collaborative endeavor, it pays to establish upfront how strongly your partner commits to the common goal and what compensation can be expected in case the collaboration is violated. Diverse examples in biological and social contexts have demonstrated the pervasiveness of making prior agreements on posterior compensations, suggesting that this behavior could have been shaped by natural selection. Here, we analyze the evolutionary relevance of such a commitment strategy and relate it to the costly punishment strategy, where no prior agreements are made. We show that when the cost of arranging a commitment deal lies within certain limits, substantial levels of cooperation can be achieved. Moreover, these levels are higher than that achieved by simple costly punishment, especially when one insists on sharing the arrangement cost. Not only do we show that good agreements make good friends, agreements based on shared costs result in even better outcomes. PMID:24045873

"Good mothering" or "good citizenship"?

PubMed

Porter, Maree; Kerridge, Ian H; Jordens, Christopher F C

2012-03-01

Umbilical cord blood banking is one of many biomedical innovations that confront pregnant women with new choices about what they should do to secure their own and their child's best interests. Many mothers can now choose to donate their baby's umbilical cord blood (UCB) to a public cord blood bank or pay to store it in a private cord blood bank. Donation to a public bank is widely regarded as an altruistic act of civic responsibility. Paying to store UCB may be regarded as a "unique opportunity" to provide "insurance" for the child's future. This paper reports findings from a survey of Australian women that investigated the decision to either donate or store UCB. We conclude that mothers are faced with competing discourses that force them to choose between being a "good mother" and fulfilling their role as a "good citizen." We discuss this finding with reference to the concept of value pluralism.

Predictive Caching Using the TDAG Algorithm

NASA Technical Reports Server (NTRS)

Laird, Philip; Saul, Ronald

1992-01-01

We describe how the TDAG algorithm for learning to predict symbol sequences can be used to design a predictive cache store. A model of a two-level mass storage system is developed and used to calculate the performance of the cache under various conditions. Experimental simulations provide good confirmation of the model.

Predicting Handwriting Difficulties through Spelling Processes

ERIC Educational Resources Information Center

Rodríguez, Cristina; Villarroel, Rebeca

2017-01-01

This study examined whether spelling tasks contribute to the prediction of the handwriting status of children with poor and good handwriting skills in a cross-sectional study with 276 Spanish children from Grades 1 and 3. The main hypothesis was that the spelling tasks would predict the handwriting status of the children, although this influence…

Review: Game theory of public goods in one-shot social dilemmas without assortment.

PubMed

Archetti, Marco; Scheuring, István

2012-04-21

We review the theory of public goods in biology. In the N-person prisoner's dilemma, where the public good is a linear function of the individual contributions, cooperation requires some form of assortment, for example due to kin discrimination, population viscosity or repeated interactions. In most social species ranging from bacteria to humans, however, public goods are usually a non-linear function of the contributions, which makes cooperation possible without assortment. More specifically, a polymorphic state can be stable in which cooperators and non-cooperators coexist. The existence of mixed equilibria in public goods games is a fundamental result in the study of cooperation that has been overlooked so far, because of the disproportionate attention given to the two- and N-person prisoner's dilemma. Methods and results from games with pairwise interactions or linear benefits cannot, in general, be extended to the analysis of public goods. Game theory helps explain the production of public goods in one-shot, N-person interactions without assortment, it leads to predictions that can be easily tested and allows a prescriptive approach to cooperation. Copyright © 2011 Elsevier Ltd. All rights reserved.

Predictive value and construct validity of the work functioning screener-healthcare (WFS-H).

PubMed

Boezeman, Edwin J; Nieuwenhuijsen, Karen; Sluiter, Judith K

2016-05-25

To test the predictive value and convergent construct validity of a 6-item work functioning screener (WFS-H). Healthcare workers (249 nurses) completed a questionnaire containing the work functioning screener (WFS-H) and a work functioning instrument (NWFQ) measuring the following: cognitive aspects of task execution and general incidents, avoidance behavior, conflicts and irritation with colleagues, impaired contact with patients and their family, and level of energy and motivation. Productivity and mental health were also measured. Negative and positive predictive values, AUC values, and sensitivity and specificity were calculated to examine the predictive value of the screener. Correlation analysis was used to examine the construct validity. The screener had good predictive value, since the results showed that a negative screener score is a strong indicator of work functioning not hindered by mental health problems (negative predictive values: 94%-98%; positive predictive values: 21%-36%; AUC:.64-.82; sensitivity: 42%-76%; and specificity 85%-87%). The screener has good construct validity due to moderate, but significant (p<.001), associations with productivity (r=.51), mental health (r=.48), and distress (r=.47). The screener (WFS-H) had good predictive value and good construct validity. Its score offers occupational health professionals a helpful preliminary insight into the work functioning of healthcare workers.

Enhancing interacting residue prediction with integrated contact matrix prediction in protein-protein interaction.

PubMed

Du, Tianchuan; Liao, Li; Wu, Cathy H

2016-12-01

Identifying the residues in a protein that are involved in protein-protein interaction and identifying the contact matrix for a pair of interacting proteins are two computational tasks at different levels of an in-depth analysis of protein-protein interaction. Various methods for solving these two problems have been reported in the literature. However, the interacting residue prediction and contact matrix prediction were handled by and large independently in those existing methods, though intuitively good prediction of interacting residues will help with predicting the contact matrix. In this work, we developed a novel protein interacting residue prediction system, contact matrix-interaction profile hidden Markov model (CM-ipHMM), with the integration of contact matrix prediction and the ipHMM interaction residue prediction. We propose to leverage what is learned from the contact matrix prediction and utilize the predicted contact matrix as "feedback" to enhance the interaction residue prediction. The CM-ipHMM model showed significant improvement over the previous method that uses the ipHMM for predicting interaction residues only. It indicates that the downstream contact matrix prediction could help the interaction site prediction.

Social diversity promotes the emergence of cooperation in public goods games.

PubMed

Santos, Francisco C; Santos, Marta D; Pacheco, Jorge M

2008-07-10

Humans often cooperate in public goods games and situations ranging from family issues to global warming. However, evolutionary game theory predicts that the temptation to forgo the public good mostly wins over collective cooperative action, and this is often also seen in economic experiments. Here we show how social diversity provides an escape from this apparent paradox. Up to now, individuals have been treated as equivalent in all respects, in sharp contrast with real-life situations, where diversity is ubiquitous. We introduce social diversity by means of heterogeneous graphs and show that cooperation is promoted by the diversity associated with the number and size of the public goods game in which each individual participates and with the individual contribution to each such game. When social ties follow a scale-free distribution, cooperation is enhanced whenever all individuals are expected to contribute a fixed amount irrespective of the plethora of public goods games in which they engage. Our results may help to explain the emergence of cooperation in the absence of mechanisms based on individual reputation and punishment. Combining social diversity with reputation and punishment will provide instrumental clues on the self-organization of social communities and their economical implications.

Encouraging Good Writing Practice in First-Year Psychology Students: An Intervention Using Turnitin

ERIC Educational Resources Information Center

Betts, Lucy R.; Bostock, Stephen J.; Elder, Tracey J.; Trueman, Mark

2012-01-01

There is growing concern among many regarding plagiarism within student writing. This has promoted investigation into both the factors that predict plagiarism and potential methods of reducing plagiarism. Consequently, we developed and evaluated an intervention to enhance good practice within academic writing through the use of the plagiarism…

Evaluating and Optimizing Online Advertising: Forget the Click, but There Are Good Proxies.

PubMed

Dalessandro, Brian; Hook, Rod; Perlich, Claudia; Provost, Foster

2015-06-01

Online systems promise to improve advertisement targeting via the massive and detailed data available. However, there often is too few data on exactly the outcome of interest, such as purchases, for accurate campaign evaluation and optimization (due to low conversion rates, cold start periods, lack of instrumentation of offline purchases, and long purchase cycles). This paper presents a detailed treatment of proxy modeling, which is based on the identification of a suitable alternative (proxy) target variable when data on the true objective is in short supply (or even completely nonexistent). The paper has a two-fold contribution. First, the potential of proxy modeling is demonstrated clearly, based on a massive-scale experiment across 58 real online advertising campaigns. Second, we assess the value of different specific proxies for evaluating and optimizing online display advertising, showing striking results. The results include bad news and good news. The most commonly cited and used proxy is a click on an ad. The bad news is that across a large number of campaigns, clicks are not good proxies for evaluation or for optimization: clickers do not resemble buyers. The good news is that an alternative sort of proxy performs remarkably well: observed visits to the brand's website. Specifically, predictive models built based on brand site visits-which are much more common than purchases-do a remarkably good job of predicting which browsers will make a purchase. The practical bottom line: evaluating and optimizing campaigns using clicks seems wrongheaded; however, there is an easy and attractive alternative-use a well-chosen site-visit proxy instead.

A summary of wind power prediction methods

NASA Astrophysics Data System (ADS)

Wang, Yuqi

2018-06-01

The deterministic prediction of wind power, the probability prediction and the prediction of wind power ramp events are introduced in this paper. Deterministic prediction includes the prediction of statistical learning based on histor ical data and the prediction of physical models based on NWP data. Due to the great impact of wind power ramp events on the power system, this paper also introduces the prediction of wind power ramp events. At last, the evaluation indicators of all kinds of prediction are given. The prediction of wind power can be a good solution to the adverse effects of wind power on the power system due to the abrupt, intermittent and undulation of wind power.

Generalized Predictive and Neural Generalized Predictive Control of Aerospace Systems

NASA Technical Reports Server (NTRS)

Kelkar, Atul G.

2000-01-01

The research work presented in this thesis addresses the problem of robust control of uncertain linear and nonlinear systems using Neural network-based Generalized Predictive Control (NGPC) methodology. A brief overview of predictive control and its comparison with Linear Quadratic (LQ) control is given to emphasize advantages and drawbacks of predictive control methods. It is shown that the Generalized Predictive Control (GPC) methodology overcomes the drawbacks associated with traditional LQ control as well as conventional predictive control methods. It is shown that in spite of the model-based nature of GPC it has good robustness properties being special case of receding horizon control. The conditions for choosing tuning parameters for GPC to ensure closed-loop stability are derived. A neural network-based GPC architecture is proposed for the control of linear and nonlinear uncertain systems. A methodology to account for parametric uncertainty in the system is proposed using on-line training capability of multi-layer neural network. Several simulation examples and results from real-time experiments are given to demonstrate the effectiveness of the proposed methodology.

Analysis backpropagation methods with neural network for prediction of children's ability in psychomotoric

NASA Astrophysics Data System (ADS)

Izhari, F.; Dhany, H. W.; Zarlis, M.; Sutarman

2018-03-01

A good age in optimizing aspects of development is at the age of 4-6 years, namely with psychomotor development. Psychomotor is broader, more difficult to monitor but has a meaningful value for the child's life because it directly affects his behavior and deeds. Therefore, there is a problem to predict the child's ability level based on psychomotor. This analysis uses backpropagation method analysis with artificial neural network to predict the ability of the child on the psychomotor aspect by generating predictions of the child's ability on psychomotor and testing there is a mean squared error (MSE) value at the end of the training of 0.001. There are 30% of children aged 4-6 years have a good level of psychomotor ability, excellent, less good, and good enough.

Return on research investments: personal good versus public good

NASA Astrophysics Data System (ADS)

Fox, P. A.

2017-12-01

For some time the outputs, i.e. what's produced, of publicly and privately funded research while necessary, are far from sufficient, when considering an overall return on (research) investment. At the present time products such as peer-reviewed papers, websites, data, and software are recognized by funders on timescales related to research awards and reporting. However, from a consumer perspective impact and value are determined at the time a product is discovered, accessed, assessed and used. As is often the case, the perspectives of producer and consumer communities can be distinct and not intersect at all. We contrast personal good, i.e. credit, reputation, with that of public good, e.g. interest, leverage, exploitation, and more. This presentation will elaborate on both the metaphorical and idealogical aspects of applying a "return on investment" frame for the topic of assessing "good".

Efficient differentially private learning improves drug sensitivity prediction.

PubMed

Honkela, Antti; Das, Mrinal; Nieminen, Arttu; Dikmen, Onur; Kaski, Samuel

2018-02-06

Users of a personalised recommendation system face a dilemma: recommendations can be improved by learning from data, but only if other users are willing to share their private information. Good personalised predictions are vitally important in precision medicine, but genomic information on which the predictions are based is also particularly sensitive, as it directly identifies the patients and hence cannot easily be anonymised. Differential privacy has emerged as a potentially promising solution: privacy is considered sufficient if presence of individual patients cannot be distinguished. However, differentially private learning with current methods does not improve predictions with feasible data sizes and dimensionalities. We show that useful predictors can be learned under powerful differential privacy guarantees, and even from moderately-sized data sets, by demonstrating significant improvements in the accuracy of private drug sensitivity prediction with a new robust private regression method. Our method matches the predictive accuracy of the state-of-the-art non-private lasso regression using only 4x more samples under relatively strong differential privacy guarantees. Good performance with limited data is achieved by limiting the sharing of private information by decreasing the dimensionality and by projecting outliers to fit tighter bounds, therefore needing to add less noise for equal privacy. The proposed differentially private regression method combines theoretical appeal and asymptotic efficiency with good prediction accuracy even with moderate-sized data. As already the simple-to-implement method shows promise on the challenging genomic data, we anticipate rapid progress towards practical applications in many fields. This article was reviewed by Zoltan Gaspari and David Kreil.

Good Practices in Free-energy Calculations

NASA Technical Reports Server (NTRS)

Pohorille, Andrew; Jarzynski, Christopher; Chipot, Christopher

2013-01-01

As access to computational resources continues to increase, free-energy calculations have emerged as a powerful tool that can play a predictive role in drug design. Yet, in a number of instances, the reliability of these calculations can be improved significantly if a number of precepts, or good practices are followed. For the most part, the theory upon which these good practices rely has been known for many years, but often overlooked, or simply ignored. In other cases, the theoretical developments are too recent for their potential to be fully grasped and merged into popular platforms for the computation of free-energy differences. The current best practices for carrying out free-energy calculations will be reviewed demonstrating that, at little to no additional cost, free-energy estimates could be markedly improved and bounded by meaningful error estimates. In energy perturbation and nonequilibrium work methods, monitoring the probability distributions that underlie the transformation between the states of interest, performing the calculation bidirectionally, stratifying the reaction pathway and choosing the most appropriate paradigms and algorithms for transforming between states offer significant gains in both accuracy and precision. In thermodynamic integration and probability distribution (histogramming) methods, properly designed adaptive techniques yield nearly uniform sampling of the relevant degrees of freedom and, by doing so, could markedly improve efficiency and accuracy of free energy calculations without incurring any additional computational expense.

Prediction of pump cavitation performance

NASA Technical Reports Server (NTRS)

Moore, R. D.

1974-01-01

A method for predicting pump cavitation performance with various liquids, liquid temperatures, and rotative speeds is presented. Use of the method requires that two sets of test data be available for the pump of interest. Good agreement between predicted and experimental results of cavitation performance was obtained for several pumps operated in liquids which exhibit a wide range of properties. Two cavitation parameters which qualitatively evaluate pump cavitation performance are also presented.

Good phonetic errors in poor spellers are associated with right-handedness and possible weak utilisation of visuospatial abilities.

PubMed

Eglinton, Elizabeth; Annett, Marian

2008-06-01

Poor spellers in normal schools, who were not poor readers, were studied for handedness, visuospatial and other cognitive abilities in order to explore contrasts between poor spellers with and without good phonology. It was predicted by the right shift (RS) theory of handedness and cerebral dominance that those with good phonology would have strong bias to dextrality and relative weakness of the right hemisphere, while those without good phonology would have reduced bias to dextrality and relative weakness of the left hemisphere. Poor spellers with good phonetic equivalent spelling errors (GFEs) included fewer left-handers (2.4%) than poor spellers without GFEs (24.4%). Differences for hand skill were as predicted. Tests of visuospatial processing found no differences between the groups in levels of ability, but there was a marked difference in pattern of correlations between visuospatial test scores and homophonic word discrimination. Whereas good spellers (GS) and poor spellers without GFEs showed positive correlations between word discrimination and visuospatial ability, there were no significant correlations for poor spellers with GFEs. The differences for handedness and possibly for the utilisation of visuospatial skills suggest that surface dyslexics differ from phonological dyslexics in cerebral specialisation and perhaps in the quality of inter-hemispheric relations.

"Everyone just ate good food": 'Good food' in Islamabad, Pakistan.

PubMed

Hasnain, Saher

2018-08-01

In recent years, consumption of alternatively produced foods has increased in popularity in response to the deleterious effects of rapidly globalising and industrialised food systems. Concerns over food safety in relation to these changes may result from elevated levels of risk and changing perceptions associated with food production practices. This paper explores how the middle class residents of Islamabad, Pakistan, use the concept of 'good food' to reconnect themselves with nature, changing food systems, and traditional values. The paper also demonstrates how these ideas relate to those of organic, local, and traditional food consumption as currently used in more economically developed states in the Global North. Through research based on participant observation and semi-structured interviews, this paper illustrates that besides price and convenience, purity, freshness, association with specific places, and 'Pakistani-ness' were considered as the basis for making decisions about 'good food'. The results show that while individuals are aware of and have some access to imported organic and local food, they prefer using holistic and culturally informed concepts of 'good food' instead that reconnect them with food systems. I argue that through conceptualisations of 'good food', the urban middle class in Islamabad is reducing their disconnection and dis-embeddedness from nature, the food systems, and their social identities. The paper contributes to literature on food anxieties, reconnections in food geography, and 'good food' perceptions, with a focus on Pakistan. Copyright © 2018. Published by Elsevier Ltd.

Evolution of optimal Hill coefficients in nonlinear public goods games.

PubMed

Archetti, Marco; Scheuring, István

2016-10-07

In evolutionary game theory, the effect of public goods like diffusible molecules has been modelled using linear, concave, sigmoid and step functions. The observation that biological systems are often sigmoid input-output functions, as described by the Hill equation, suggests that a sigmoid function is more realistic. The Michaelis-Menten model of enzyme kinetics, however, predicts a concave function, and while mechanistic explanations of sigmoid kinetics exist, we lack an adaptive explanation: what is the evolutionary advantage of a sigmoid benefit function? We analyse public goods games in which the shape of the benefit function can evolve, in order to determine the optimal and evolutionarily stable Hill coefficients. We find that, while the dynamics depends on whether output is controlled at the level of the individual or the population, intermediate or high Hill coefficients often evolve, leading to sigmoid input-output functions that for some parameters are so steep to resemble a step function (an on-off switch). Our results suggest that, even when the shape of the benefit function is unknown, biological public goods should be modelled using a sigmoid or step function rather than a linear or concave function. Copyright © 2016 Elsevier Ltd. All rights reserved.

Meta-analysis suggests choosy females get sexy sons more than "good genes".

PubMed

Prokop, Zofia M; Michalczyk, Łukasz; Drobniak, Szymon M; Herdegen, Magdalena; Radwan, Jacek

2012-09-01

Female preferences for specific male phenotypes have been documented across a wide range of animal taxa, including numerous species where males contribute only gametes to offspring production. Yet, selective pressures maintaining such preferences are among the major unknowns of evolutionary biology. Theoretical studies suggest that preferences can evolve if they confer genetic benefits in terms of increased attractiveness of sons ("Fisherian" models) or overall fitness of offspring ("good genes" models). These two types of models predict, respectively, that male attractiveness is heritable and genetically correlated with fitness. In this meta-analysis, we draw general conclusions from over two decades worth of empirical studies testing these predictions (90 studies on 55 species in total). We found evidence for heritability of male attractiveness. However, attractiveness showed no association with traits directly associated with fitness (life-history traits). Interestingly, it did show a positive correlation with physiological traits, which include immunocompetence and condition. In conclusion, our results support "Fisherian" models of preference evolution, while providing equivocal evidence for "good genes." We pinpoint research directions that should stimulate progress in our understanding of the evolution of female choice. © 2012 The Author(s). Evolution© 2012 The Society for the Study of Evolution.

Good Self-Control as a Buffering Agent for Adolescent Substance Use

PubMed Central

Wills, Thomas A.; Ainette, Michael G.

2008-01-01

We tested the prediction that self-control will have buffering effects for adolescent substance use (tobacco, alcohol, and marijuana) with regard to three risk factors: family life events, adolescent life events, and peer substance use. Participants were a sample of public school students (N = 1,767) who were surveyed at four yearly intervals between 6th grade and 9th grade. Good self-control was assessed with multiple indicators including planning and problem solving. Results showed that the impact of all three risk factors on substance use was reduced among persons with higher scores on good self-control. Buffering was found in cross-sectional analyses with multiple regression and in longitudinal analyses in a latent growth model with time-varying covariates. Implications for addressing self-control in prevention programs are discussed. PMID:19071971

Predictors for good functional outcome after neurocritical care.

PubMed

Kiphuth, Ines C; Schellinger, Peter D; Köhrmann, Martin; Bardutzky, Jürgen; Lücking, Hannes; Kloska, Stephan; Schwab, Stefan; Huttner, Hagen B

2010-01-01

There are only limited data on the long-term outcome of patients receiving specialized neurocritical care. In this study we analyzed survival, long-term mortality and functional outcome after neurocritical care and determined predictors for good functional outcome. We retrospectively investigated 796 consecutive patients admitted to a non-surgical neurologic intensive care unit over a period of two years (2006 and 2007). Demographic and clinical parameters were analyzed. Depending on the diagnosis, we grouped patients according to their diseases (cerebral ischemia, intracranial hemorrhage (ICH), subarachnoid hemorrhage (SAH), meningitis/encephalitis, epilepsy, Guillain-Barré syndrome (GBS) and myasthenia gravis (MG), neurodegenerative diseases and encephalopathy, cerebral neoplasm and intoxication). Clinical parameters, mortality and functional outcome of all treated patients were analyzed. Functional outcome (using the modified Rankin Scale, mRS) one year after discharge was assessed by a mailed questionnaire or telephone interview. Outcome was dichotomized into good (mRS ≤ 2) and poor (mRS ≥ 3). Logistic regression analyses were calculated to determine independent predictors for good functional outcome. Overall in-hospital mortality amounted to 22.5% of all patients, and a good long-term functional outcome was achieved in 28.4%. The parameters age, length of ventilation (LOV), admission diagnosis of ICH, GBS/MG, and inoperable cerebral neoplasm as well as Therapeutic Intervention Scoring System (TISS)-28 on Day 1 were independently associated with functional outcome after one year. This investigation revealed that age, LOV and TISS-28 on Day 1 were strongly predictive for the outcome. The diagnoses of hemorrhagic stroke and cerebral neoplasm leading to neurocritical care predispose for functional dependence or death, whereas patients with GBS and MG are more likely to recover after neurocritical care.

Predictors for good functional outcome after neurocritical care

PubMed Central

2010-01-01

Introduction There are only limited data on the long-term outcome of patients receiving specialized neurocritical care. In this study we analyzed survival, long-term mortality and functional outcome after neurocritical care and determined predictors for good functional outcome. Methods We retrospectively investigated 796 consecutive patients admitted to a non-surgical neurologic intensive care unit over a period of two years (2006 and 2007). Demographic and clinical parameters were analyzed. Depending on the diagnosis, we grouped patients according to their diseases (cerebral ischemia, intracranial hemorrhage (ICH), subarachnoid hemorrhage (SAH), meningitis/encephalitis, epilepsy, Guillain-Barré syndrome (GBS) and myasthenia gravis (MG), neurodegenerative diseases and encephalopathy, cerebral neoplasm and intoxication). Clinical parameters, mortality and functional outcome of all treated patients were analyzed. Functional outcome (using the modified Rankin Scale, mRS) one year after discharge was assessed by a mailed questionnaire or telephone interview. Outcome was dichotomized into good (mRS ≤ 2) and poor (mRS ≥ 3). Logistic regression analyses were calculated to determine independent predictors for good functional outcome. Results Overall in-hospital mortality amounted to 22.5% of all patients, and a good long-term functional outcome was achieved in 28.4%. The parameters age, length of ventilation (LOV), admission diagnosis of ICH, GBS/MG, and inoperable cerebral neoplasm as well as Therapeutic Intervention Scoring System (TISS)-28 on Day 1 were independently associated with functional outcome after one year. Conclusions This investigation revealed that age, LOV and TISS-28 on Day 1 were strongly predictive for the outcome. The diagnoses of hemorrhagic stroke and cerebral neoplasm leading to neurocritical care predispose for functional dependence or death, whereas patients with GBS and MG are more likely to recover after neurocritical care. PMID:20646313

Volunteering leads to rock-paper-scissors dynamics in a public goods game

NASA Astrophysics Data System (ADS)

Semmann, Dirk; Krambeck, Hans-Jürgen; Milinski, Manfred

2003-09-01

Collective efforts are a trademark of both insect and human societies. They are achieved through relatedness in the former and unknown mechanisms in the latter. The problem of achieving cooperation among non-kin has been described as the `tragedy of the commons', prophesying the inescapable collapse of many human enterprises. In public goods experiments, initial cooperation usually drops quickly to almost zero. It can be maintained by the opportunity to punish defectors or the need to maintain good reputation. Both schemes require that defectors are identified. Theorists propose that a simple but effective mechanism operates under full anonymity. With optional participation in the public goods game, `loners' (players who do not join the group), defectors and cooperators will coexist through rock-paper-scissors dynamics. Here we show experimentally that volunteering generates these dynamics in public goods games and that manipulating initial conditions can produce each predicted direction. If, by manipulating displayed decisions, it is pretended that defectors have the highest frequency, loners soon become most frequent, as do cooperators after loners and defectors after cooperators. On average, cooperation is perpetuated at a substantial level.

Good Person or Bad Character? Personality Predictors of Morality and Ethics in Avatar Selection for Video Game Play.

PubMed

Ewell, Patrick J; Guadagno, Rosanna E; Jones, Matthew; Dunn, Robert Andrew

2016-07-01

Popular video games often provide people with the option to play characters that are good or evil in nature, and yet, little is known about how individual differences in personality relate to the moral and ethical alignments people chose in their digital representations. We examined whether participants' pre-existing levels of moral disengagement and Big 5 scores predicted the alignments they selected for their avatar in video game play. Results revealed that men, relative to women, were more likely to play "bad guys" and that moral disengagement predicted this finding. Agreeableness and conscientiousness mediated the relationship between moral disengagement and alignment such that those higher in these two traits were more likely to play good characters.

Fighting the good fight: the relationship between belief in evil and support for violent policies.

PubMed

Campbell, Maggie; Vollhardt, Johanna Ray

2014-01-01

The rhetoric of good and evil is prevalent in many areas of society and is often used to garner support for "redemptive violence" (i.e., using violence to rid and save the world from evil). While evil is discussed in psychological literature, beliefs about good and evil have not received adequate empirical attention as predictors of violent versus peaceful intergroup attitudes. In four survey studies, we developed and tested novel measures of belief in evil and endorsement of redemptive violence. Across four different samples, belief in evil predicted greater support for violence and lesser support for nonviolent responses. These effects were, in most cases, mediated by endorsement of redemptive violence. Structural equation modeling suggested that need for cognitive closure predicts belief in evil, and that the effect of belief in evil on support for violence is independent of right-wing authoritarianism, religious fundamentalism, and dangerous world beliefs.

The Good Work.

ERIC Educational Resources Information Center

Csikszentmihalyi, Mihaly

2003-01-01

Examines the working lives of geneticists and journalists to place into perspective what lies behind personal ethics and success. Defines "good work" as productive activity that is valued socially and loved by people engaged in it. Asserts that certain cultural values, social controls, and personal standards are necessary to maintain good work and…

Papillary Thyroid Cancer: The Good and Bad of the "Good Cancer".

PubMed

Randle, Reese W; Bushman, Norah M; Orne, Jason; Balentine, Courtney J; Wendt, Elizabeth; Saucke, Megan; Pitt, Susan C; Macdonald, Cameron L; Connor, Nadine P; Sippel, Rebecca S

2017-07-01

Papillary thyroid cancer is often described as the "good cancer" because of its treatability and relatively favorable survival rates. This study sought to characterize the thoughts of papillary thyroid cancer patients as they relate to having the "good cancer." This qualitative study included 31 papillary thyroid cancer patients enrolled in an ongoing randomized trial. Semi-structured interviews were conducted with participants at the preoperative visit and two weeks, six weeks, six months, and one year after thyroidectomy. Grounded theory was used, inductively coding the first 113 interview transcripts with NVivo 11. The concept of thyroid cancer as "good cancer" emerged unprompted from 94% (n = 29) of participants, mostly concentrated around the time of diagnosis. Patients encountered this perception from healthcare providers, Internet research, friends, and preconceived ideas about other cancers. While patients generally appreciated optimism, this perspective also generated negative feelings. It eased the diagnosis of cancer but created confusion when individual experiences varied from expectations. Despite initially feeling reassured, participants described feeling the "good cancer" characterization invalidated their fears of having cancer. Thyroid cancer patients expressed that they did not want to hear that it's "only thyroid cancer" and that it's "no big deal," because "cancer is cancer," and it is significant. Patients with papillary thyroid cancer commonly confront the perception that their malignancy is "good," but the favorable prognosis and treatability of the disease do not comprehensively represent their cancer fight. The "good cancer" perception is at the root of many mixed and confusing emotions. Clinicians emphasize optimistic outcomes, hoping to comfort, but they might inadvertently invalidate the impact thyroid cancer has on patients' lives.

The impact of extubation failure in patients with good-grade subarachnoid hemorrhage.

PubMed

Wojak, Jann F; Ditz, Claudia; Abusamha, Abdulkareem; Smith, Emma; Gliemroth, Jan; Tronnier, Volker; Küchler, Jan

2018-06-13

The aim of this study was to analyze the clinical impact of extubation failure (EF) in with good grade subarachnoid hemorrhage (SAH), in which a good clinical course is usually expected. We reviewed the clinical data from 141 patients with SAH and i. initial Hunt & Hess grade 1-3 ii. induction of general anesthesia for intervention and iii. the presence of data about the functional outcome. Patients were divided into three groups: 1. Primary tracheotomized patients (PT), 2. Patients with successful extubation (ES) and 3. Patients with EF (reintubation within 48 h). EF occurred with a rate of 0.12. The leading cause of EF was respiratory insufficiency (n=7), followed by impaired consciousness (n=5). Multivariate logistic regression did not show any neurological predictor of EF. Patients with ES showed an excellent outcome after 6 months (favorable outcome: 95.7 %), whereas the outcome of EF and PT patients was significantly (p<0.05) poorer. The case fatality rate was non-significantly higher in the EF group (0.15 vs 0.03). Hospitalization was significantly reduced for patients with ES, while the occurrence of symptomatic cerebral vasospasms and vasospastic cerebral infarction was similar between Patients with EF, ES or PT. We showed that EF is a frequent condition in good grade SAH, but is not predictable using common neurological parameters. Regarding the functional outcome, we were able to show that the result of an extubation trial clearly delineates the patients in two distinct groups, in which ES predicts an excellent outcome. Copyright © 2018 Elsevier Inc. All rights reserved.

How Good Are Statistical Models at Approximating Complex Fitness Landscapes?

PubMed Central

du Plessis, Louis; Leventhal, Gabriel E.; Bonhoeffer, Sebastian

2016-01-01

Fitness landscapes determine the course of adaptation by constraining and shaping evolutionary trajectories. Knowledge of the structure of a fitness landscape can thus predict evolutionary outcomes. Empirical fitness landscapes, however, have so far only offered limited insight into real-world questions, as the high dimensionality of sequence spaces makes it impossible to exhaustively measure the fitness of all variants of biologically meaningful sequences. We must therefore revert to statistical descriptions of fitness landscapes that are based on a sparse sample of fitness measurements. It remains unclear, however, how much data are required for such statistical descriptions to be useful. Here, we assess the ability of regression models accounting for single and pairwise mutations to correctly approximate a complex quasi-empirical fitness landscape. We compare approximations based on various sampling regimes of an RNA landscape and find that the sampling regime strongly influences the quality of the regression. On the one hand it is generally impossible to generate sufficient samples to achieve a good approximation of the complete fitness landscape, and on the other hand systematic sampling schemes can only provide a good description of the immediate neighborhood of a sequence of interest. Nevertheless, we obtain a remarkably good and unbiased fit to the local landscape when using sequences from a population that has evolved under strong selection. Thus, current statistical methods can provide a good approximation to the landscape of naturally evolving populations. PMID:27189564

"Good Citizen" Program.

ERIC Educational Resources Information Center

Placer Hills Union Elementary School District, Meadow Vista, CA.

THE FOLLOWING IS THE FULL TEXT OF THIS DOCUMENT: The "Good Citizen" Program was developed for many reasons: to keep the campus clean, to reward students for improvement, to reward students for good deeds, to improve the total school climate, to reward students for excellence, and to offer staff members a method of reward for positive…

Good Models Gone Bad: Quantifying and Predicting Parameter-Induced Climate Model Simulation Failures

NASA Astrophysics Data System (ADS)

Lucas, D. D.; Klein, R.; Tannahill, J.; Brandon, S.; Covey, C. C.; Domyancic, D.; Ivanova, D. P.

2012-12-01

Simulations using IPCC-class climate models are subject to fail or crash for a variety of reasons. Statistical analysis of the failures can yield useful insights to better understand and improve the models. During the course of uncertainty quantification (UQ) ensemble simulations to assess the effects of ocean model parameter uncertainties on climate simulations, we experienced a series of simulation failures of the Parallel Ocean Program (POP2). About 8.5% of our POP2 runs failed for numerical reasons at certain combinations of parameter values. We apply support vector machine (SVM) classification from the fields of pattern recognition and machine learning to quantify and predict the probability of failure as a function of the values of 18 POP2 parameters. The SVM classifiers readily predict POP2 failures in an independent validation ensemble, and are subsequently used to determine the causes of the failures via a global sensitivity analysis. Four parameters related to ocean mixing and viscosity are identified as the major sources of POP2 failures. Our method can be used to improve the robustness of complex scientific models to parameter perturbations and to better steer UQ ensembles. This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344 and was funded by the Uncertainty Quantification Strategic Initiative Laboratory Directed Research and Development Project at LLNL under project tracking code 10-SI-013 (UCRL LLNL-ABS-569112).

Punishment in public goods games leads to meta-stable phase transitions and hysteresis

NASA Astrophysics Data System (ADS)

Hintze, Arend; Adami, Christoph

2015-07-01

The evolution of cooperation has been a perennial problem in evolutionary biology because cooperation can be undermined by selfish cheaters who gain an advantage in the short run, while compromising the long-term viability of the population. Evolutionary game theory has shown that under certain conditions, cooperation nonetheless evolves stably, for example if players have the opportunity to punish cheaters that benefit from a public good yet refuse to pay into the common pool. However, punishment has remained enigmatic because it is costly and difficult to maintain. On the other hand, cooperation emerges naturally in the public goods game if the synergy of the public good (the factor multiplying the public good investment) is sufficiently high. In terms of this synergy parameter, the transition from defection to cooperation can be viewed as a phase transition with the synergy as the critical parameter. We show here that punishment reduces the critical value at which cooperation occurs, but also creates the possibility of meta-stable phase transitions, where populations can ‘tunnel’ into the cooperating phase below the critical value. At the same time, cooperating populations are unstable even above the critical value, because a group of defectors that are large enough can ‘nucleate’ such a transition. We study the mean-field theoretical predictions via agent-based simulations of finite populations using an evolutionary approach where the decisions to cooperate or to punish are encoded genetically in terms of evolvable probabilities. We recover the theoretical predictions and demonstrate that the population shows hysteresis, as expected in systems that exhibit super-heating and super-cooling. We conclude that punishment can stabilize populations of cooperators below the critical point, but it is a two-edged sword: it can also stabilize defectors above the critical point.

A Good Suit Beats a Good Idea.

ERIC Educational Resources Information Center

Machiavelli, Nick

1992-01-01

Inspired by Niccolo Machiavelli, this column offers beleaguered school executives advice on looking good, dressing well, losing weight, beating the proper enemy, and saying nothing. Administrators who follow these simple rules should have an easier life, jealous colleagues, well-tended gardens, and respectful board members. (MLH)

Prediction of surface distress using neural networks

NASA Astrophysics Data System (ADS)

Hamdi, Hadiwardoyo, Sigit P.; Correia, A. Gomes; Pereira, Paulo; Cortez, Paulo

2017-06-01

Road infrastructures contribute to a healthy economy throughout a sustainable distribution of goods and services. A road network requires appropriately programmed maintenance treatments in order to keep roads assets in good condition, providing maximum safety for road users under a cost-effective approach. Surface Distress is the key element to identify road condition and may be generated by many different factors. In this paper, a new approach is aimed to predict Surface Distress Index (SDI) values following a data-driven approach. Later this model will be accordingly applied by using data obtained from the Integrated Road Management System (IRMS) database. Artificial Neural Networks (ANNs) are used to predict SDI index using input variables related to the surface of distress, i.e., crack area and width, pothole, rutting, patching and depression. The achieved results show that ANN is able to predict SDI with high correlation factor (R2 = 0.996%). Moreover, a sensitivity analysis was applied to the ANN model, revealing the influence of the most relevant input parameters for SDI prediction, namely rutting (59.8%), crack width (29.9%) and crack area (5.0%), patching (3.0%), pothole (1.7%) and depression (0.3%).

Good health checks according to the general public; expectations and criteria: a focus group study.

PubMed

Stol, Yrrah H; Asscher, Eva C A; Schermer, Maartje H N

2018-06-22

Health checks or health screenings identify (risk factors for) disease in people without a specific medical indication. So far, the perspective of (potential) health check users has remained underexposed in discussions about the ethics and regulation of health checks. In 2017, we conducted a qualitative study with lay people from the Netherlands (four focus groups). We asked what participants consider characteristics of good and bad health checks, and whether they saw a role for the Dutch government. Participants consider a good predictive value the most important characteristic of a good health check. Information before, during and after the test, knowledgeable and reliable providers, tests for treatable (risk factors for) disease, respect for privacy, no unnecessary health risks and accessibility are also mentioned as criteria for good health checks. Participants make many assumptions about health check offers. They assume health checks provide certainty about the presence or absence of disease, that health checks offer opportunities for health benefits and that the privacy of health check data is guaranteed. In their choice for provider and test they tend to rely more on heuristics than information. Participants trust physicians to put the interest of potential health check users first and expect the Dutch government to intervene if providers other than physicians failed to do so by offering tests with a low predictive value, or tests that may harm people, or by infringing the privacy of users. Assumptions of participants are not always justified, but they may influence the choice to participate. This is problematic because choices for checks with a low predictive value that do not provide health benefits may create uncertainty and may cause harm to health; an outcome diametrically opposite to the one intended. Also, this may impair the relationship of trust with physicians and the Dutch government. To further and protect autonomous choice and to maintain trust

Research on cross - Project software defect prediction based on transfer learning

NASA Astrophysics Data System (ADS)

Chen, Ya; Ding, Xiaoming

2018-04-01

According to the two challenges in the prediction of cross-project software defects, the distribution differences between the source project and the target project dataset and the class imbalance in the dataset, proposing a cross-project software defect prediction method based on transfer learning, named NTrA. Firstly, solving the source project data's class imbalance based on the Augmented Neighborhood Cleaning Algorithm. Secondly, the data gravity method is used to give different weights on the basis of the attribute similarity of source project and target project data. Finally, a defect prediction model is constructed by using Trad boost algorithm. Experiments were conducted using data, come from NASA and SOFTLAB respectively, from a published PROMISE dataset. The results show that the method has achieved good values of recall and F-measure, and achieved good prediction results.

Prediction of Recovery from Coma After CPR

MedlinePlus

... to pain. There is good evidence* that myoclonus status epilepticus within the first day after CPR accurately predicts poor recovery from coma. Myoclonus status epilepticus is a constant twitching of muscles, including the ...

Good Concrete Activity Is Good Mental Activity

ERIC Educational Resources Information Center

McDonough, Andrea

2016-01-01

Early years mathematics classrooms can be colourful, exciting, and challenging places of learning. Andrea McDonough and fellow teachers have noticed that some students make good decisions about using materials to assist their problem solving, but this is not always the case. These experiences lead her to ask the following questions: (1) Are…

Effect of the depreciation of public goods in spatial public goods games

NASA Astrophysics Data System (ADS)

Shi, Dong-Mei; Zhuang, Yong; Wang, Bing-Hong

2012-02-01

In this work, the depreciation effect of public goods is considered in the public goods games, which is realized by rescaling the multiplication factor r of each group as r‧=r( (β≥0). It is assumed that each individual enjoys the full profit r of the public goods if all the players of this group are cooperators. Otherwise, the value of public goods is reduced to r‧. It is found that compared with the original version (β=0), the emergence of cooperation is remarkably promoted for β>0, and there exist intermediate values of β inducing the best cooperation. Particularly, there exists a range of β inducing the highest cooperative level, and this range of β broadens as r increases. It is further presented that the variation of cooperator density with noise has close relations with the values of β and r, and cooperation at an intermediate value of β=1.0 is most tolerant to noise.

Movement of Goods, Services and People: Entanglements with Sustainability Implications

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

Southworth, Frank; Wigan, Marcus

2008-01-01

In both Europe and North America the continued growth in both passenger and freight traffic promises growing competition for road space between these two forms of travel. Forecast traffic levels call into question the ability of current infrastructures to sustain the efficient movement of both goods and people over increasingly crowded roadways and through increasingly delay-prone terminals. Costs of maintaining current highway networks in the face of heavy truck use also limit the budgets available for capacity expansion. In this paper the authors examine potential areas of both conflict and synergy in the movement of goods and people and considermore » the sort of data and analytical tools available for understanding the needs of, in particular, mixed use highway systems. Similarities in the movement of goods and people within urban areas exist on both continents, suggesting a number of promising areas for complementary research efforts.Limited data on the intra-urban activities of commercial vehicles is identified as a major barrier to our current understanding of how best to use available road space, and this too is a common situation on both continents. In contrast, the different histories, geographies and population densities associated with inter-city transportation activities make comparative work in this area more difficult and may suggest different modal solutionson the two continents. In either case the authors argue that there is considerable value atthe present time in predicting the present especially as it applies to the functional linkages between personal, goods and a rapidly growing services transport sector.« less

How good are publicly available web services that predict bioactivity profiles for drug repurposing?

PubMed

Murtazalieva, K A; Druzhilovskiy, D S; Goel, R K; Sastry, G N; Poroikov, V V

2017-10-01

Drug repurposing provides a non-laborious and less expensive way for finding new human medicines. Computational assessment of bioactivity profiles shed light on the hidden pharmacological potential of the launched drugs. Currently, several freely available computational tools are available via the Internet, which predict multitarget profiles of drug-like compounds. They are based on chemical similarity assessment (ChemProt, SuperPred, SEA, SwissTargetPrediction and TargetHunter) or machine learning methods (ChemProt and PASS). To compare their performance, this study has created two evaluation sets, consisting of (1) 50 well-known repositioned drugs and (2) 12 drugs recently patented for new indications. In the first set, sensitivity values varied from 0.64 (TarPred) to 1.00 (PASS Online) for the initial indications and from 0.64 (TarPred) to 0.98 (PASS Online) for the repurposed indications. In the second set, sensitivity values varied from 0.08 (SuperPred) to 1.00 (PASS Online) for the initial indications and from 0.00 (SuperPred) to 1.00 (PASS Online) for the repurposed indications. Thus, this analysis demonstrated that the performance of machine learning methods surpassed those of chemical similarity assessments, particularly in the case of novel repurposed indications.

Survival Regression Modeling Strategies in CVD Prediction.

PubMed

Barkhordari, Mahnaz; Padyab, Mojgan; Sardarinia, Mahsa; Hadaegh, Farzad; Azizi, Fereidoun; Bozorgmanesh, Mohammadreza

2016-04-01

A fundamental part of prevention is prediction. Potential predictors are the sine qua non of prediction models. However, whether incorporating novel predictors to prediction models could be directly translated to added predictive value remains an area of dispute. The difference between the predictive power of a predictive model with (enhanced model) and without (baseline model) a certain predictor is generally regarded as an indicator of the predictive value added by that predictor. Indices such as discrimination and calibration have long been used in this regard. Recently, the use of added predictive value has been suggested while comparing the predictive performances of the predictive models with and without novel biomarkers. User-friendly statistical software capable of implementing novel statistical procedures is conspicuously lacking. This shortcoming has restricted implementation of such novel model assessment methods. We aimed to construct Stata commands to help researchers obtain the aforementioned statistical indices. We have written Stata commands that are intended to help researchers obtain the following. 1, Nam-D'Agostino X 2 goodness of fit test; 2, Cut point-free and cut point-based net reclassification improvement index (NRI), relative absolute integrated discriminatory improvement index (IDI), and survival-based regression analyses. We applied the commands to real data on women participating in the Tehran lipid and glucose study (TLGS) to examine if information relating to a family history of premature cardiovascular disease (CVD), waist circumference, and fasting plasma glucose can improve predictive performance of Framingham's general CVD risk algorithm. The command is adpredsurv for survival models. Herein we have described the Stata package "adpredsurv" for calculation of the Nam-D'Agostino X 2 goodness of fit test as well as cut point-free and cut point-based NRI, relative and absolute IDI, and survival-based regression analyses. We hope this

Calibration power of the Braden scale in predicting pressure ulcer development.

PubMed

Chen, Hong-Lin; Cao, Ying-Juan; Wang, Jing; Huai, Bao-Sha

2016-11-02

Calibration is the degree of correspondence between the estimated probability produced by a model and the actual observed probability. The aim of this study was to investigate the calibration power of the Braden scale in predicting pressure ulcer development (PU). A retrospective analysis was performed among consecutive patients in 2013. The patients were separated into training a group and a validation group. The predicted incidence was calculated using a logistic regression model in the training group and the Hosmer-Lemeshow test was used for assessing the goodness of fit. In the validation cohort, the observed and the predicted incidence were compared by the Chi-square (χ 2 ) goodness of fit test for calibration power. We included 2585 patients in the study, of these 78 patients (3.0%) developed a PU. Between the training and validation groups the patient characteristics were non-significant (p>0.05). In the training group, the logistic regression model for predicting pressure ulcer was Logit(P) = -0.433*Braden score+2.616. The Hosmer-Lemeshow test showed no goodness fit (χ 2 =13.472; p=0.019). In the validation group, the predicted pressure ulcer incidence also did not fit well with the observed incidence (χ 2 =42.154, p=0.000 by Braden scores; and χ 2 =17.223, p=0.001 by Braden scale risk classification). The Braden scale has low calibration power in predicting PU formation.

Validation of CRIB II for prediction of mortality in premature babies.

PubMed

Rastogi, Pallav Kumar; Sreenivas, V; Kumar, Nirmal

2010-02-01

Validation of Clinical Risk Index for Babies (CRIB II) score in predicting the neonatal mortality in preterm neonates < or = 32 weeks gestational age. Prospective cohort study. Tertiary care neonatal unit. 86 consecutively born preterm neonates with gestational age < or = 32 weeks. The five variables related to CRIB II were recorded within the first hour of admission for data analysis. The receiver operating characteristics (ROC) curve was used to check the accuracy of the mortality prediction. HL Goodness of fit test was used to see the discrepancy between observed and expected outcomes. A total of 86 neonates (males 59.6% mean birthweight: 1228 +/- 398 grams; mean gestational age: 28.3 +/- 2.4 weeks) were enrolled in the study, of which 17 (19.8%) left hospital against medical advice (LAMA) before reaching the study end point. Among 69 neonates completing the study, 24 (34.8%) had adverse outcome during hospital stay and 45 (65.2%) had favorable outcome. CRIB II correctly predicted adverse outcome in 90.3% (Hosmer Lemeshow goodness of fit test P=0.6). Area under curve (AUC) for CRIB II was 0.9032. In intention to treat analysis with LAMA cases included as survivors, the mortality prediction was 87%. If these were included as having died then mortality prediction was 83.1%. The CRIB II score was found to be a good predictive instrument for mortality in preterm infants < or = 32 weeks gestation.

Reconsidering the "Good Divorce"

PubMed

Amato, Paul R; Kane, Jennifer B; James, Spencer

2011-12-01

This study attempted to assess the notion that a "good divorce" protects children from the potential negative consequences of marital dissolution. A cluster analysis of data on postdivorce parenting from 944 families resulted in three groups: cooperative coparenting, parallel parenting, and single parenting. Children in the cooperative coparenting (good divorce) cluster had the smallest number of behavior problems and the closest ties to their fathers. Nevertheless, children in this cluster did not score significantly better than other children on 10 additional outcomes. These findings provide only modest support for the good divorce hypothesis.

Diagnostic value and cost-effectiveness of good quality digital images accompanying electronic referrals for suspected skin malignancies.

PubMed

Ng, Michael F Y; Stevenson, J Howard

2011-04-01

The aim of this study was to investigate the outcome and cost-effectiveness of good and poor quality photographs accompanying the electronic referrals for suspected skin malignancies. A retrospective study of 100 patients, divided into 2 groups, 50 with good quality photographs and 50 with poor quality photographs. Patients with no digital images, or who failed to attend, or patients with incomplete notes were excluded from the study. The treatment pathway, waiting times, and estimated cost between the 2 groups were compared. Good photographs were more likely to be treated at the 1-Stop Clinic (P = 0.05). Good images had a better positive predictive value than poor quality images (62.55% vs. 42.86%). Good quality images are more accurate than poor quality images in triaging of patients, and thus more effective in facilitating the treatment of malignant lesions timely. Good quality photographs allow a delayed appropriate treatment of benign lesions. This increases the safety for patients in a queue in a rationed health care system, and improves patient flow.

IMF Prediction with Cosmic Rays

NASA Astrophysics Data System (ADS)

Bieber, J. W.; Evenson, P. A.; Kuwabara, T.; Pei, C.

2013-12-01

Cosmic rays impacting Earth have passed through and interacted with the interplanetary magnetic field (IMF) surrounding Earth, and in some sense they carry information on the three-dimensional structure of that field. This work uses neutron monitor data in an effort to extract that information and use it to predict the future behavior of the IMF, especially the north-south component (Bz) which is so crucial in determining geomagnetic activity. We consider 161 events from a published list of interplanetary coronal mass ejections and compare hourly averages of the predicted field with the actual field measured later. We find that the percentage of events with 'good' predictions of Bz (in the sense of having a positive correlation between the prediction and the subsequent measurement) varies from about 85% for predictions 1 hour into the future to about 60% for predictions 4 hours into the future. We present several ideas for how the method might be improved in future implementations. Supported by NASA grant NNX08AQ01G and NSF grant ANT-0739620.

Defining the Good Reading Teacher.

ERIC Educational Resources Information Center

Kupersmith, Judy; And Others

In the quest for a definition of the good reading teacher, a review of the literature shows that new or copious materials, one specific teaching method, and static teaching behaviors are not responsible for effective teaching. However, observations of five reading teachers, with good references and good reputations but with widely divergent…

Development of a Jet Noise Prediction Method for Installed Jet Configurations

NASA Technical Reports Server (NTRS)

Hunter, Craig A.; Thomas, Russell H.

2003-01-01

This paper describes development of the Jet3D noise prediction method and its application to heated jets with complex three-dimensional flow fields and installation effects. Noise predictions were made for four separate flow bypass ratio five nozzle configurations tested in the NASA Langley Jet Noise Laboratory. These configurations consist of a round core and fan nozzle with and without pylon, and an eight chevron core nozzle and round fan nozzle with and without pylon. Predicted SPL data were in good agreement with experimental noise measurements up to 121 inlet angle, beyond which Jet3D under predicted low frequency levels. This is due to inherent limitations in the formulation of Lighthill's Acoustic Analogy used in Jet3D, and will be corrected in ongoing development. Jet3D did an excellent job predicting full scale EPNL for nonchevron configurations, and captured the effect of the pylon, correctly predicting a reduction in EPNL. EPNL predictions for chevron configurations were not in good agreement with measured data, likely due to the lower mixing and longer potential cores in the CFD simulations of these cases.

Prediction of future asset prices

NASA Astrophysics Data System (ADS)

Seong, Ng Yew; Hin, Pooi Ah; Ching, Soo Huei

2014-12-01

This paper attempts to incorporate trading volumes as an additional predictor for predicting asset prices. Denoting r(t) as the vector consisting of the time-t values of the trading volume and price of a given asset, we model the time-(t+1) asset price to be dependent on the present and l-1 past values r(t), r(t-1), ....., r(t-1+1) via a conditional distribution which is derived from a (2l+1)-dimensional power-normal distribution. A prediction interval based on the 100(α/2)% and 100(1-α/2)% points of the conditional distribution is then obtained. By examining the average lengths of the prediction intervals found by using the composite indices of the Malaysia stock market for the period 2008 to 2013, we found that the value 2 appears to be a good choice for l. With the omission of the trading volume in the vector r(t), the corresponding prediction interval exhibits a slightly longer average length, showing that it might be desirable to keep trading volume as a predictor. From the above conditional distribution, the probability that the time-(t+1) asset price will be larger than the time-t asset price is next computed. When the probability differs from 0 (or 1) by less than 0.03, the observed time-(t+1) increase in price tends to be negative (or positive). Thus the above probability has a good potential of being used as a market indicator in technical analysis.

Development and validation of the Good Outcome Following Attempted Resuscitation (GO-FAR) score to predict neurologically intact survival after in-hospital cardiopulmonary resuscitation.

PubMed

Ebell, Mark H; Jang, Woncheol; Shen, Ye; Geocadin, Romergryko G

2013-11-11

Informing patients and providers of the likelihood of survival after in-hospital cardiac arrest (IHCA), neurologically intact or with minimal deficits, may be useful when discussing do-not-attempt-resuscitation orders. To develop a simple prearrest point score that can identify patients unlikely to survive IHCA, neurologically intact or with minimal deficits. The study included 51,240 inpatients experiencing an index episode of IHCA between January 1, 2007, and December 31, 2009, in 366 hospitals participating in the Get With the Guidelines-Resuscitation registry. Dividing data into training (44.4%), test (22.2%), and validation (33.4%) data sets, we used multivariate methods to select the best independent predictors of good neurologic outcome, created a series of candidate decision models, and used the test data set to select the model that best classified patients as having a very low (<1%), low (1%-3%), average (>3%-15%), or higher than average (>15%) likelihood of survival after in-hospital cardiopulmonary resuscitation for IHCA with good neurologic status. The final model was evaluated using the validation data set. Survival to discharge after in-hospital cardiopulmonary resuscitation for IHCA with good neurologic status (neurologically intact or with minimal deficits) based on a Cerebral Performance Category score of 1. The best performing model was a simple point score based on 13 prearrest variables. The C statistic was 0.78 when applied to the validation set. It identified the likelihood of a good outcome as very low in 9.4% of patients (good outcome in 0.9%), low in 18.9% (good outcome in 1.7%), average in 54.0% (good outcome in 9.4%), and above average in 17.7% (good outcome in 27.5%). Overall, the score can identify more than one-quarter of patients as having a low or very low likelihood of survival to discharge, neurologically intact or with minimal deficits after IHCA (good outcome in 1.4%). The Good Outcome Following Attempted Resuscitation (GO

Good life good death according to Christiaan Barnard.

PubMed

Toledo-Pereyra, Luis H

2010-06-01

Christiaan Barnard (1922-2002), pioneering heart transplant surgeon, introduced his ideas on euthanasia in a well-written and researched book, Good Life Good Death. A Doctor's Case for Euthanasia and Suicide, published in 1980. His courage in analyzing this topic in a forthright and clear manner is worth reviewing today. In essence, Barnard supported and practiced passive euthanasia (the ending of life by indirect methods, such as stopping of life support) and discussed, but never practiced, active euthanasia (the ending of life by direct means). Barnard believed that "the primary goal of medicine was to alleviate suffering-not merely to prolong life-he argued that advances in modern medical technology demanded that we evaluate our view of death and the handling of terminal illness." Some in the surgical community took issue with Barnard when he publicized his personal views on euthanasia. We discuss Barnard's beliefs and attempt to clarify some misunderstandings regarding this particular controversial area of medicine.

Link prediction based on local community properties

NASA Astrophysics Data System (ADS)

Yang, Xu-Hua; Zhang, Hai-Feng; Ling, Fei; Cheng, Zhi; Weng, Guo-Qing; Huang, Yu-Jiao

2016-09-01

The link prediction algorithm is one of the key technologies to reveal the inherent rule of network evolution. This paper proposes a novel link prediction algorithm based on the properties of the local community, which is composed of the common neighbor nodes of any two nodes in the network and the links between these nodes. By referring to the node degree and the condition of assortativity or disassortativity in a network, we comprehensively consider the effect of the shortest path and edge clustering coefficient within the local community on node similarity. We numerically show the proposed method provide good link prediction results.

The Generation, Radiation and Prediction of Supersonic Jet Noise. Volume 1

DTIC Science & Technology

1978-10-01

standard, Gaussian correlation function model can yield a good noise spectrum prediction (at 900), but the corresponding axial source distributions do not...forms for the turbulence cross-correlation function. Good agreement was obtained between measured and calculated far- field noise spectra. However, the...complementary error function profile (3.63) was found to provide a good fit to the axial velocity distribution tor a wide range of Mach numbers in the Initial

Why Good Is More Alike Than Bad: Processing Implications.

PubMed

Alves, Hans; Koch, Alex; Unkelbach, Christian

2017-02-01

Humans process positive information and negative information differently. These valence asymmetries in processing are often summarized under the observation that 'bad is stronger than good', meaning that negative information has stronger psychological impact (e.g., in feedback, learning, or social interactions). This stronger impact is usually attributed to people's affective or motivational reactions to evaluative information. We present an alternative interpretation of valence asymmetries based on the observation that positive information is more similar than negative information. We explain this higher similarity based on the non-extremity of positive attributes, discuss how it accounts for observable valence asymmetries in cognitive processing, and show how it predicts hitherto undiscovered phenomena. Copyright © 2016 Elsevier Ltd. All rights reserved.

What Are Good Universities?

ERIC Educational Resources Information Center

Connell, Raewyn

2016-01-01

This paper considers how we can arrive at a concept of the good university. It begins with ideas expressed by Australian Vice-Chancellors and in the "league tables" for universities, which essentially reproduce existing privilege. It then considers definitions of the good university via wish lists, classic texts, horror lists, structural…

Towards more efficient burn care: Identifying factors associated with good quality of life post-burn.

PubMed

Finlay, V; Phillips, M; Allison, G T; Wood, F M; Ching, D; Wicaksono, D; Plowman, S; Hendrie, D; Edgar, D W

2015-11-01

As minor burn patients constitute the vast majority of a developed nation case-mix, streamlining care for this group can promote efficiency from a service-wide perspective. This study tested the hypothesis that a predictive nomogram model that estimates likelihood of good long-term quality of life (QoL) post-burn is a valid way to optimise patient selection and risk management when applying a streamlined model of care. A sample of 224 burn patients managed by the Burn Service of Western Australia who provided both short and long-term outcomes was used to estimate the probability of achieving a good QoL defined as 150 out of a possible 160 points on the Burn Specific Health Scale-Brief (BSHS-B) at least six months from injury. A multivariate logistic regression analysis produced a predictive model provisioned as a nomogram for clinical application. A second, independent cohort of consecutive patients (n=106) was used to validate the predictive merit of the nomogram. Male gender (p=0.02), conservative management (p=0.03), upper limb burn (p=0.04) and high BSHS-B score within one month of burn (p<0.001) were significant predictors of good outcome at six months and beyond. A Receiver Operating Curve (ROC) analysis demonstrated excellent (90%) accuracy overall. At 80% probability of good outcome, the false positive risk was 14%. The nomogram was validated by running a second ROC analysis of the model in an independent cohort. The analysis confirmed high (86%) overall accuracy of the model, the risk of false positive was reduced to 10% at a lower (70%) probability. This affirms the stability of the nomogram model in different patient groups over time. An investigation of the effect of missing data on sample selection determined that a greater proportion of younger patients with smaller TBSA burns were excluded due to loss to follow up. For clinicians managing comparable burn populations, the BSWA burns nomogram is an effective tool to assist the selection of patients to

The global public good concept: a means of promoting good veterinary governance.

PubMed

Eloit, M

2012-08-01

At the outset, the concept of a 'public good' was associated with economic policies. However, it has now evolved not only from a national to a global concept (global public good), but also from a concept applying solely to the production of goods to one encompassing societal issues (education, environment, etc.) and fundamental rights, including the right to health and food. Through their actions, Veterinary Services, as defined by the Terrestrial Animal Health Code (Terrestrial Code) of the World Organisation for Animal Health (OIE), help to improve animal health and reduce production losses. In this way they contribute directly and indirectly to food security and to safeguarding human health and economic resources. The organisation and operating procedures of Veterinary Services are therefore key to the efficient governance required to achieve these objectives. The OIE is a major player in global cooperation and governance in the fields of animal and public health through the implementation of its strategic standardisation mission and other programmes for the benefit of Veterinary Services and OIE Member Countries. Thus, the actions of Veterinary Services and the OIE deserve to be recognised as a global public good, backed by public investment to ensure that all Veterinary Services are in a position to apply the principles of good governance and to comply with the international standards for the quality of Veterinary Services set out in the OIE Terrestrial Code (Section 3 on Quality of Veterinary Services) and Aquatic Animal Health Code (Section 3 on Quality of Aquatic Animal Health Services).

19 CFR 102.12 - Fungible goods.

Code of Federal Regulations, 2010 CFR

2010-04-01

... RULES OF ORIGIN Rules of Origin § 102.12 Fungible goods. When fungible goods of different countries of origin are commingled the country of origin of the goods: (a) Is the countries of origin of those... the origin of the commingled good is not practical, the country or countries of origin may be...

"Act in Good Faith."

ERIC Educational Resources Information Center

McKay, Robert B.

1979-01-01

It is argued that the Supreme Court's Bakke decision overturning the University of California's minority admissions program is good for those who favor affirmative action programs in higher education. The Supreme Court gives wide latitude for devising programs that take race and ethnic background into account if colleges are acting in good faith.…

A Pretty Good Paper about Pretty Good Privacy.

ERIC Educational Resources Information Center

McCollum, Roy

With today's growth in the use of electronic information systems for e-mail, data development and research, and the relative ease of access to such resources, protecting one's data and correspondence has become a great concern. "Pretty Good Privacy" (PGP), an encryption program developed by Phil Zimmermann, may be the software tool that…

42 CFR 93.210 - Good faith.

Code of Federal Regulations, 2014 CFR

2014-10-01

... 42 Public Health 1 2014-10-01 2014-10-01 false Good faith. 93.210 Section 93.210 Public Health... MISCONDUCT Definitions § 93.210 Good faith. Good faith as applied to a complainant or witness, means having a... allegation or cooperation with a research misconduct proceeding is not in good faith if made with knowing or...

42 CFR 93.210 - Good faith.

Code of Federal Regulations, 2013 CFR

2013-10-01

... 42 Public Health 1 2013-10-01 2013-10-01 false Good faith. 93.210 Section 93.210 Public Health... MISCONDUCT Definitions § 93.210 Good faith. Good faith as applied to a complainant or witness, means having a... allegation or cooperation with a research misconduct proceeding is not in good faith if made with knowing or...

42 CFR 93.210 - Good faith.

Code of Federal Regulations, 2012 CFR

2012-10-01

... 42 Public Health 1 2012-10-01 2012-10-01 false Good faith. 93.210 Section 93.210 Public Health... MISCONDUCT Definitions § 93.210 Good faith. Good faith as applied to a complainant or witness, means having a... allegation or cooperation with a research misconduct proceeding is not in good faith if made with knowing or...

The Good, the Bad, and the Ugly: Numerical Prediction for Hurricane Juan (2003)

NASA Astrophysics Data System (ADS)

Gyakum, J.; McTaggart-Cowan, R.

2004-05-01

The range of accuracy of the numerical weather prediction (NWP) guidance for the landfall of Hurricane Juan (2003), from nearly perfect to nearly useless, motivates a study of the NWP forecast errors on 28-29 September 2003 in the eastern North Atlantic. Although the forecasts issued over the period were of very high quality, this is primarily because of the diligence of the forecasters, and not related to the reliability of the numerical predictions provided to them by the North American operational centers and the research community. A bifurcation in the forecast fields from various centers and institutes occurred beginning with the 0000 UTC run of 28 September, and continuing until landfall just after 0000 UTC on 29 September. The GFS (NCEP), Eta (NCEP), GEM (Canadian Meteorological Centre; CMC), and MC2 (McGill) forecast models all showed an extremely weak (minimum SLP above 1000 hPa) remnant vortex moving north-northwestward into the Gulf of Maine and merging with a diabatically-developed surface low offshore. The GFS uses a vortex-relocation scheme, the Eta a vortex bogus, and the GEM and MC2 are run on CMC analyses that contain no enhanced vortex. The UK Met Office operational, the GFDL, and the NOGAPS (US Navy) forecast models all ran a small-scale hurricane-like vortex directly into Nova Scotia and verified very well for this case. The UKMO model uses synthetic observations to enhance structures in poorly-forecasted areas during the analysis cycle and both the GFDL and NOGAPS model use advanced idealized vortex bogusing in their initial conditions. The quality of the McGill MC2 forecast is found to be significantly enhanced using a bogusing technique similar to that used in the initialization of the successful forecast models. A verification of the improved forecast is presented along with a discussion of the need for operational quality control of the background fields in the analysis cycle and for proper representation of strong, small-scale tropical

Helicopter noise prediction - The current status and future direction

NASA Technical Reports Server (NTRS)

Brentner, Kenneth S.; Farassat, F.

1992-01-01

The paper takes stock of the progress, assesses the current prediction capabilities, and forecasts the direction of future helicopter noise prediction research. The acoustic analogy approach, specifically, theories based on the Ffowcs Williams-Hawkings equations, are the most widely used for deterministic noise sources. Thickness and loading noise can be routinely predicted given good plane motion and blade loading inputs. Blade-vortex interaction noise can also be predicted well with measured input data, but prediction of airloads with the high spatial and temporal resolution required for BVI is still difficult. Current semiempirical broadband noise predictions are useful and reasonably accurate. New prediction methods based on a Kirchhoff formula and direct computation appear to be very promising, but are currently very demanding computationally.

Public Goods and Services.

ERIC Educational Resources Information Center

Zicht, Barbara, Ed.; And Others

1982-01-01

This document includes an introduction to the role of government in the production of public goods and services and 3 brief teaching units. The introduction describes the nature of a mixed economy and points out why most people identify the production of goods and services with private enterprise rather than government. It develops a rationale for…

Productivity and Capital Goods.

ERIC Educational Resources Information Center

Zicht, Barbara, Ed.; And Others

1981-01-01

Providing teacher background on the concepts of productivity and capital goods, this document presents 3 teaching units about these ideas for different grade levels. The grade K-2 unit, "How Do They Do It?," is designed to provide students with an understanding of how physical capital goods add to productivity. Activities include a field trip to…

'She sort of shines': midwives' accounts of 'good' midwifery and 'good' leadership.

PubMed

Byrom, Sheena; Downe, Soo

2010-02-01

to explore midwives' accounts of the characteristics of 'good' leadership and 'good' midwifery. a phenomenological interview survey. Participants were asked about what made both good and poor midwives and leaders. two maternity departments within National Health Service trusts in the North West of England. qualified midwives, selected by random sampling stratified to encompass senior and junior grades. thematic analysis, carried out manually. ten midwives were interviewed. Sixteen codes and six sub-themes were generated. Across the responses, two clear dimensions (themes) were identified, relating on the one hand to aspects of knowledge, skill and competence (termed 'skilled competence'), and on the other hand to specific personality characteristics (termed 'emotional intelligence'). This study suggests that the ability to act knowledgeably, safely and competently was seen as a basic requirement for both clinical midwives and midwife leaders. The added element which made both the midwife and the leader 'good' was the extent of their emotional capability. this small-scale in-depth study could form the basis for hypothesis generation for larger scale work in this area in future. The findings offer some reinforcement for the potential applicability of theories of transformational leadership to midwifery management and practice. Copyright 2008 Elsevier Ltd. All rights reserved.

Good Health Before Pregnancy: Preconception Care

MedlinePlus

... Advocacy For Patients About ACOG Good Health Before Pregnancy: Preconception Care Home For Patients Search FAQs Good ... FAQ056, April 2017 PDF Format Good Health Before Pregnancy: Preconception Care Pregnancy What is a preconception care ...

28 CFR 523.14 - Industrial good time.

Code of Federal Regulations, 2012 CFR

2012-07-01

..., AND TRANSFER COMPUTATION OF SENTENCE Extra Good Time § 523.14 Industrial good time. Extra good time... 28 Judicial Administration 2 2012-07-01 2012-07-01 false Industrial good time. 523.14 Section 523... Industries is not awarded industrial good time until actually employed. ...

28 CFR 523.14 - Industrial good time.

Code of Federal Regulations, 2014 CFR

2014-07-01

..., AND TRANSFER COMPUTATION OF SENTENCE Extra Good Time § 523.14 Industrial good time. Extra good time... 28 Judicial Administration 2 2014-07-01 2014-07-01 false Industrial good time. 523.14 Section 523... Industries is not awarded industrial good time until actually employed. ...

28 CFR 523.14 - Industrial good time.

Code of Federal Regulations, 2013 CFR

2013-07-01

..., AND TRANSFER COMPUTATION OF SENTENCE Extra Good Time § 523.14 Industrial good time. Extra good time... 28 Judicial Administration 2 2013-07-01 2013-07-01 false Industrial good time. 523.14 Section 523... Industries is not awarded industrial good time until actually employed. ...

28 CFR 523.14 - Industrial good time.

Code of Federal Regulations, 2011 CFR

2011-07-01

..., AND TRANSFER COMPUTATION OF SENTENCE Extra Good Time § 523.14 Industrial good time. Extra good time... 28 Judicial Administration 2 2011-07-01 2011-07-01 false Industrial good time. 523.14 Section 523... Industries is not awarded industrial good time until actually employed. ...

28 CFR 523.14 - Industrial good time.

Code of Federal Regulations, 2010 CFR

2010-07-01

..., AND TRANSFER COMPUTATION OF SENTENCE Extra Good Time § 523.14 Industrial good time. Extra good time... 28 Judicial Administration 2 2010-07-01 2010-07-01 false Industrial good time. 523.14 Section 523... Industries is not awarded industrial good time until actually employed. ...

Micromechanical Prediction of the Effective Coefficients of Thermo-Piezoelectric Multiphase Composites

NASA Technical Reports Server (NTRS)

Aboudi, Jacob

1998-01-01

The micromechanical generalized method of cells model is employed for the prediction of the effective elastic, piezoelectric, dielectric, pyroelectric and thermal-expansion constants of multiphase composites with embedded piezoelectric materials. The predicted effective constants are compared with other micromechanical methods available in the literature and good agreements are obtained.

Predicting U.S. food demand in the 20th century: a new look at system dynamics

NASA Astrophysics Data System (ADS)

Moorthy, Mukund; Cellier, Francois E.; LaFrance, Jeffrey T.

1998-08-01

The paper describes a new methodology for predicting the behavior of macroeconomic variables. The approach is based on System Dynamics and Fuzzy Inductive Reasoning. A four- layer pseudo-hierarchical model is proposed. The bottom layer makes predications about population dynamics, age distributions among the populace, as well as demographics. The second layer makes predications about the general state of the economy, including such variables as inflation and unemployment. The third layer makes predictions about the demand for certain goods or services, such as milk products, used cars, mobile telephones, or internet services. The fourth and top layer makes predictions about the supply of such goods and services, both in terms of their prices. Each layer can be influenced by control variables the values of which are only determined at higher levels. In this sense, the model is not strictly hierarchical. For example, the demand for goods at level three depends on the prices of these goods, which are only determined at level four. Yet, the prices are themselves influenced by the expected demand. The methodology is exemplified by means of a macroeconomic model that makes predictions about US food demand during the 20th century.

The Health Behavior Checklist: Factor structure in community samples and validity of a revised good health practices scale.

PubMed

Hampson, Sarah E; Edmonds, Grant W; Goldberg, Lewis R

2017-01-01

This study examined the factor structure and predictive validity of the commonly used multidimensional Health Behavior Checklist. A three-factor structure was found in two community samples that included men and women. The new 16-item Good Health Practices scale and the original Wellness Maintenance scale were the only Health Behavior Checklist scales to be related to cardiovascular and metabolic risk factors. While the other Health Behavior Checklist scales require further validation, the Good Health Practices scale could be used where more objective or longer measures are not feasible.

Resource and competitive dynamics shape the benefits of public goods cooperation in a plant pathogen

PubMed Central

Platt, Thomas G.; Fuqua, Clay; Bever, James D.

2012-01-01

Cooperative benefits depend on a variety of ecological factors. Many cooperative bacteria increase the population size of their groups by making a public good available. Increased local population size can alleviate the constraints of kin competition on the evolution of cooperation by enhancing the between-group fitness of cooperators. The cooperative pathogenesis of Agrobacterium tumefaciens causes infected plants to exude opines—resources that provide a nearly exclusive source of nutrient for the pathogen. We experimentally demonstrate that opines provide cooperative A. tumefaciens cells a within-group fitness advantage over saprophytic agrobacteria. Our results are congruent with a resource-consumer competition model, which predicts that cooperative, virulent agrobacteria are at a competitive disadvantage when opines are unavailable, but have an advantage when opines are available at sufficient levels. This model also predicts that freeloading agrobacteria that catabolize opines but cannot infect plants competitively displace the cooperative pathogen from all environments. However, we show that these cooperative public goods also promote increased local population size. A model built from the Price Equation shows that this effect on group size can contribute to the persistence of cooperative pathogenesis despite inherent kin competition for the benefits of pathogenesis. PMID:22671559

Novel Approach for the Recognition and Prediction of Multi-Function Radar Behaviours Based on Predictive State Representations.

PubMed

Ou, Jian; Chen, Yongguang; Zhao, Feng; Liu, Jin; Xiao, Shunping

2017-03-19

The extensive applications of multi-function radars (MFRs) have presented a great challenge to the technologies of radar countermeasures (RCMs) and electronic intelligence (ELINT). The recently proposed cognitive electronic warfare (CEW) provides a good solution, whose crux is to perceive present and future MFR behaviours, including the operating modes, waveform parameters, scheduling schemes, etc. Due to the variety and complexity of MFR waveforms, the existing approaches have the drawbacks of inefficiency and weak practicability in prediction. A novel method for MFR behaviour recognition and prediction is proposed based on predictive state representation (PSR). With the proposed approach, operating modes of MFR are recognized by accumulating the predictive states, instead of using fixed transition probabilities that are unavailable in the battlefield. It helps to reduce the dependence of MFR on prior information. And MFR signals can be quickly predicted by iteratively using the predicted observation, avoiding the very large computation brought by the uncertainty of future observations. Simulations with a hypothetical MFR signal sequence in a typical scenario are presented, showing that the proposed methods perform well and efficiently, which attests to their validity.

Group differences in adult simple arithmetic: good retrievers, not-so-good retrievers, and perfectionists.

PubMed

Hecht, Steven A

2006-01-01

We used the choice/no-choice methodology in two experiments to examine patterns of strategy selection and execution in groups of undergraduates. Comparisons between choice and no-choice trials revealed three groups. Some participants good retrievers) were consistently able to use retrieval to solve almost all arithmetic problems. Other participants (perfectionists) successfully used retrieval substantially less often in choice-allowed trials than when strategy choices were prohibited. Not-so-good retrievers retrieved correct answers less often than the other participants in both the choice-allowed and no-choice conditions. No group differences emerged with respect to time needed to search and access answers from long-term memory; however, not-so-good retrievers were consistently slower than the other subgroups at executing fact-retrieval processes that are peripheral to memory search and access. Theoretical models of simple arithmetic, such as the Strategy Choice and Discovery Simulation (Shrager & Siegler, 1998), should be updated to include the existence of both perfectionist and not-so-good retriever adults.

An updated PREDICT breast cancer prognostication and treatment benefit prediction model with independent validation.

PubMed

Candido Dos Reis, Francisco J; Wishart, Gordon C; Dicks, Ed M; Greenberg, David; Rashbass, Jem; Schmidt, Marjanka K; van den Broek, Alexandra J; Ellis, Ian O; Green, Andrew; Rakha, Emad; Maishman, Tom; Eccles, Diana M; Pharoah, Paul D P

2017-05-22

PREDICT is a breast cancer prognostic and treatment benefit model implemented online. The overall fit of the model has been good in multiple independent case series, but PREDICT has been shown to underestimate breast cancer specific mortality in women diagnosed under the age of 40. Another limitation is the use of discrete categories for tumour size and node status resulting in 'step' changes in risk estimates on moving between categories. We have refitted the PREDICT prognostic model using the original cohort of cases from East Anglia with updated survival time in order to take into account age at diagnosis and to smooth out the survival function for tumour size and node status. Multivariable Cox regression models were used to fit separate models for ER negative and ER positive disease. Continuous variables were fitted using fractional polynomials and a smoothed baseline hazard was obtained by regressing the baseline cumulative hazard for each patients against time using fractional polynomials. The fit of the prognostic models were then tested in three independent data sets that had also been used to validate the original version of PREDICT. In the model fitting data, after adjusting for other prognostic variables, there is an increase in risk of breast cancer specific mortality in younger and older patients with ER positive disease, with a substantial increase in risk for women diagnosed before the age of 35. In ER negative disease the risk increases slightly with age. The association between breast cancer specific mortality and both tumour size and number of positive nodes was non-linear with a more marked increase in risk with increasing size and increasing number of nodes in ER positive disease. The overall calibration and discrimination of the new version of PREDICT (v2) was good and comparable to that of the previous version in both model development and validation data sets. However, the calibration of v2 improved over v1 in patients diagnosed under the age

Optional contributions have positive effects for volunteering public goods games

NASA Astrophysics Data System (ADS)

Song, Qi-Qing; Li, Zhen-Peng; Fu, Chang-He; Wang, Lai-Sheng

2011-11-01

Public goods (PG) games with the volunteering mechanism are referred to as volunteering public goods (VPG) games, in which loners are introduced to the PG games, and a loner obtains a constant payoff but not participating the game. Considering that small contributions may have positive effects to encourage more players with bounded rationality to contribute, this paper introduces optional contributions (high value or low value) to these typical VPG games-a cooperator can contribute a high or low payoff to the public pools. With the low contribution, the logit dynamics show that cooperation can be promoted in a well mixed population comparing to the typical VPG games, furthermore, as the multiplication factor is greater than a threshold, the average payoff of the population is also enhanced. In spatial VPG games, we introduce a new adjusting mechanism that is an approximation to best response. Some results in agreement with the prediction of the logit dynamics are found. These simulation results reveal that for VPG games the option of low contributions may be a better method to stimulate the growth of cooperation frequency and the average payoff of the population.

Income inequality and status seeking: searching for positional goods in unequal U.S. States.

PubMed

Walasek, Lukasz; Brown, Gordon D A

2015-04-01

It is well established that income inequality is associated with lower societal well-being, but the psychosocial causes of this relationship are poorly understood. A social-rank hypothesis predicts that members of unequal societies are likely to devote more of their resources to status-seeking behaviors such as acquiring positional goods. We used Google Correlate to find search terms that correlated with our measure of income inequality, and we controlled for income and other socioeconomic factors. We found that of the 40 search terms used more frequently in states with greater income inequality, more than 70% were classified as referring to status goods (e.g., designer brands, expensive jewelry, and luxury clothing). In contrast, 0% of the 40 search terms used more frequently in states with less income inequality were classified as referring to status goods. Finally, we showed how residual-based analysis offers a new methodology for using Google Correlate to provide insights into societal attitudes and motivations while avoiding confounds and high risks of spurious correlations. © The Author(s) 2015.

What Good Are Warfare Models?

DTIC Science & Technology

1981-05-01

PROFESSIONAL PAPER 306 / May 1981 WHAT GOOD ARE WARFARE MODELS? Thomas E. Anger DTICS E LECTE ,JUN 2198 1 j CENTER FOR NAVAL ANALYSES 81 6 19 025 V...WHAT GOOD ARE WARFARE MODELS? Thomas E. /Anger J Accession For !ETIS GRA&I DTIC TAB thonnounceldŕ 5 By-C Availability Codes iAva il aand/or Di1st...least flows from a life-or-death incenLive to make good guesses when choosing weapons, forces, or strategies. It is not surprising, however, that

Posterior Predictive Bayesian Phylogenetic Model Selection

PubMed Central

Lewis, Paul O.; Xie, Wangang; Chen, Ming-Hui; Fan, Yu; Kuo, Lynn

2014-01-01

We present two distinctly different posterior predictive approaches to Bayesian phylogenetic model selection and illustrate these methods using examples from green algal protein-coding cpDNA sequences and flowering plant rDNA sequences. The Gelfand–Ghosh (GG) approach allows dissection of an overall measure of model fit into components due to posterior predictive variance (GGp) and goodness-of-fit (GGg), which distinguishes this method from the posterior predictive P-value approach. The conditional predictive ordinate (CPO) method provides a site-specific measure of model fit useful for exploratory analyses and can be combined over sites yielding the log pseudomarginal likelihood (LPML) which is useful as an overall measure of model fit. CPO provides a useful cross-validation approach that is computationally efficient, requiring only a sample from the posterior distribution (no additional simulation is required). Both GG and CPO add new perspectives to Bayesian phylogenetic model selection based on the predictive abilities of models and complement the perspective provided by the marginal likelihood (including Bayes Factor comparisons) based solely on the fit of competing models to observed data. [Bayesian; conditional predictive ordinate; CPO; L-measure; LPML; model selection; phylogenetics; posterior predictive.] PMID:24193892

Prediction of thermal cycling induced matrix cracking

NASA Technical Reports Server (NTRS)

Mcmanus, Hugh L.

1992-01-01

Thermal fatigue has been observed to cause matrix cracking in laminated composite materials. A method is presented to predict transverse matrix cracks in composite laminates subjected to cyclic thermal load. Shear lag stress approximations and a simple energy-based fracture criteria are used to predict crack densities as a function of temperature. Prediction of crack densities as a function of thermal cycling is accomplished by assuming that fatigue degrades the material's inherent resistance to cracking. The method is implemented as a computer program. A simple experiment provides data on progressive cracking of a laminate with decreasing temperature. Existing data on thermal fatigue is also used. Correlations of the analytical predictions to the data are very good. A parametric study using the analytical method is presented which provides insight into material behavior under cyclical thermal loads.

Being a Good Course-Taker Is Not Enough: A Theoretical Perspective on the Transition to Independent Research

ERIC Educational Resources Information Center

Lovitts, Barbara E.

2005-01-01

Students are typically admitted into doctoral programmes because they have been good course-takers. Yet, the PhD is awarded for doing independent research and making an "original contribution" to knowledge. Graduate faculty acknowledge that the transition to independent research is hard for many students, and that they cannot predict who will…

Spatial dilemmas of diffusible public goods

PubMed Central

Allen, Benjamin; Gore, Jeff; Nowak, Martin A

2013-01-01

The emergence of cooperation is a central question in evolutionary biology. Microorganisms often cooperate by producing a chemical resource (a public good) that benefits other cells. The sharing of public goods depends on their diffusion through space. Previous theory suggests that spatial structure can promote evolution of cooperation, but the diffusion of public goods introduces new phenomena that must be modeled explicitly. We develop an approach where colony geometry and public good diffusion are described by graphs. We find that the success of cooperation depends on a simple relation between the benefits and costs of the public good, the amount retained by a producer, and the average amount retained by each of the producer’s neighbors. These quantities are derived as analytic functions of the graph topology and diffusion rate. In general, cooperation is favored for small diffusion rates, low colony dimensionality, and small rates of decay of the public good. DOI: http://dx.doi.org/10.7554/eLife.01169.001 PMID:24347543

Sleep Quality Prediction From Wearable Data Using Deep Learning

PubMed Central

Sathyanarayana, Aarti; Joty, Shafiq; Ofli, Ferda; Srivastava, Jaideep; Elmagarmid, Ahmed; Arora, Teresa; Taheri, Shahrad

2016-01-01

Background The importance of sleep is paramount to health. Insufficient sleep can reduce physical, emotional, and mental well-being and can lead to a multitude of health complications among people with chronic conditions. Physical activity and sleep are highly interrelated health behaviors. Our physical activity during the day (ie, awake time) influences our quality of sleep, and vice versa. The current popularity of wearables for tracking physical activity and sleep, including actigraphy devices, can foster the development of new advanced data analytics. This can help to develop new electronic health (eHealth) applications and provide more insights into sleep science. Objective The objective of this study was to evaluate the feasibility of predicting sleep quality (ie, poor or adequate sleep efficiency) given the physical activity wearable data during awake time. In this study, we focused on predicting good or poor sleep efficiency as an indicator of sleep quality. Methods Actigraphy sensors are wearable medical devices used to study sleep and physical activity patterns. The dataset used in our experiments contained the complete actigraphy data from a subset of 92 adolescents over 1 full week. Physical activity data during awake time was used to create predictive models for sleep quality, in particular, poor or good sleep efficiency. The physical activity data from sleep time was used for the evaluation. We compared the predictive performance of traditional logistic regression with more advanced deep learning methods: multilayer perceptron (MLP), convolutional neural network (CNN), simple Elman-type recurrent neural network (RNN), long short-term memory (LSTM-RNN), and a time-batched version of LSTM-RNN (TB-LSTM). Results Deep learning models were able to predict the quality of sleep (ie, poor or good sleep efficiency) based on wearable data from awake periods. More specifically, the deep learning methods performed better than traditional linear regression. CNN

Lower NIH stroke scale scores are required to accurately predict a good prognosis in posterior circulation stroke.

PubMed

Inoa, Violiza; Aron, Abraham W; Staff, Ilene; Fortunato, Gilbert; Sansing, Lauren H

2014-01-01

The NIH stroke scale (NIHSS) is an indispensable tool that aids in the determination of acute stroke prognosis and decision making. Patients with posterior circulation (PC) strokes often present with lower NIHSS scores, which may result in the withholding of thrombolytic treatment from these patients. However, whether these lower initial NIHSS scores predict better long-term prognoses is uncertain. We aimed to assess the utility of the NIHSS at presentation for predicting the functional outcome at 3 months in anterior circulation (AC) versus PC strokes. This was a retrospective analysis of a large prospectively collected database of adults with acute ischemic stroke. Univariate and multivariate analyses were conducted to identify factors associated with outcome. Additional analyses were performed to determine the receiver operating characteristic (ROC) curves for NIHSS scores and outcomes in AC and PC infarctions. Both the optimal cutoffs for maximal diagnostic accuracy and the cutoffs to obtain >80% sensitivity for poor outcomes were determined in AC and PC strokes. The analysis included 1,197 patients with AC stroke and 372 with PC stroke. The median initial NIHSS score for patients with AC strokes was 7 and for PC strokes it was 2. The majority (71%) of PC stroke patients had baseline NIHSS scores ≤4, and 15% of these 'minor' stroke patients had a poor outcome at 3 months. ROC analysis identified that the optimal NIHSS cutoff for outcome prediction after infarction in the AC was 8 and for infarction in the PC it was 4. To achieve >80% sensitivity for detecting patients with a subsequent poor outcome, the NIHSS cutoff for infarctions in the AC was 4 and for infarctions in the PC it was 2. The NIHSS cutoff that most accurately predicts outcomes is 4 points higher in AC compared to PC infarctions. There is potential for poor outcomes in patients with PC strokes and low NIHSS scores, suggesting that thrombolytic treatment should not be withheld from these patients

Application of an airfoil stall flutter computer prediction program to a three-dimensional wing: Prediction versus experiment. M.S. Thesis

NASA Technical Reports Server (NTRS)

Muffoletto, A. J.

1982-01-01

An aerodynamic computer code, capable of predicting unsteady and C sub m values for an airfoil undergoing dynamic stall, is used to predict the amplitudes and frequencies of a wing undergoing torsional stall flutter. The code, developed at United Technologies Research Corporation (UTRC), is an empirical prediction method designed to yield unsteady values of normal force and moment, given the airfoil's static coefficient characteristics and the unsteady aerodynamic values, alpha, A and B. In this experiment, conducted in the PSU 4' x 5' subsonic wind tunnel, the wing's elastic axis, torsional spring constant and initial angle of attack are varied, and the oscillation amplitudes and frequencies of the wing, while undergoing torsional stall flutter, are recorded. These experimental values show only fair comparisons with the predicted responses. Predictions tend to be good at low velocities and rather poor at higher velocities.

Are corticosterone levels a good indicator of food availability and reproductive performance in a kittiwake colony?

USGS Publications Warehouse

Lanctot, Richard B.; Hatch, Shyla A.; Gill, Verena A.; Eens, Marcel

2003-01-01

We evaluated the use of corticosterone to gauge forage availability and predict reproductive performance in black-legged kittiwakes (Rissa tridactyla) breeding in Alaska during 1999 and 2000. We modeled the relationship between baseline levels of corticosterone and a suite of individual and temporal characteristics of the sampled birds. We also provided supplemental food to a sample of pairs and compared their corticosterone levels with that of pairs that were not fed. Corticosterone levels were a good predictor of forage availability in some situations, although inconsistencies between corticosterone levels and reproductive performance of fed and unfed kittiwakes suggested that this was not always the case. In general, higher corticosterone levels were found in birds that lacked breeding experience and in birds sampled shortly after arriving from their wintering grounds. All parameters investigated, however, explained only a small proportion of the variance in corticosterone levels. We also investigated whether corticosterone, supplemental feeding, year of the study, breeding experience, body weight, and sex of a bird were able to predict laying, hatching, and fledging success in kittiwakes. Here, breeding experience, year of the study, and body weight were the best predictors of a bird’s performance. Corticosterone level and supplemental feeding were good predictors of kittiwake reproductive performance in some cases. For example, corticosterone levels of birds sampled during the arrival stage reliably predicted laying success, but were less reliable at predicting hatching and fledging success. Counts of active nests with eggs or chicks may be more reliable estimates of the actual productivity of the colony. Supplemental feeding had strong effects on kittiwake productivity when natural forage was poor, but had little effect when natural forage was plentiful.

GOODS Far Infrared Imaging with Herschel

NASA Astrophysics Data System (ADS)

Frayer, David T.; Elbaz, D.; Dickinson, M.; GOODS-Herschel Team

2010-01-01

Most of the stars in galaxies formed at high redshift in dusty environments, where their energy was absorbed and re-radiated at infrared wavelengths. Similarly, much of the growth of nuclear black holes in active galactic nuclei (AGN) was also obscured from direct view at UV/optical and X-ray wavelengths. The Great Observatories Origins Deep Survey Herschel (GOODS-H) open time key program will obtain the deepest far-infrared view of the distant universe, mapping the history of galaxy growth and AGN activity over a broad swath of cosmic time. GOODS-H will image the GOODS-North field with the PACS and SPIRE instruments at 100 to 500 microns, matching the deep survey of GOODS-South in the guaranteed time key program. GOODS-H will also observe an ultradeep sub-field within GOODS-South with PACS, reaching the deepest flux limits planned for Herschel (0.6 mJy at 100 microns with S/N=5). GOODS-H data will detect thousands of luminous and ultraluminous infrared galaxies out to z=4 or beyond, measuring their far-infrared luminosities and spectral energy distributions, and providing the best constraints on star formation rates and AGN activity during this key epoch of galaxy and black hole growth in the young universe.

Rates of Change in Naturalistic Psychotherapy: Contrasting Dose-Effect and Good-Enough Level Models of Change

ERIC Educational Resources Information Center

Baldwin, Scott A.; Berkeljon, Arjan; Atkins, David C.; Olsen, Joseph A.; Nielsen, Stevan L.

2009-01-01

Most research on the dose-effect model of change has combined data across patients who vary in their total dose of treatment and has implicitly assumed that the rate of change during therapy is constant across doses. In contrast, the good-enough level model predicts that rate of change will be related to total dose of therapy. In this study, the…

M3Ag17(SPh)12 Nanoparticles and Their Structure Prediction.

PubMed

Wickramasinghe, Sameera; Atnagulov, Aydar; Conn, Brian E; Yoon, Bokwon; Barnett, Robert N; Griffith, Wendell P; Landman, Uzi; Bigioni, Terry P

2015-09-16

Although silver nanoparticles are of great fundamental and practical interest, only one structure has been determined thus far: M4Ag44(SPh)30, where M is a monocation, and SPh is an aromatic thiolate ligand. This is in part due to the fact that no other molecular silver nanoparticles have been synthesized with aromatic thiolate ligands. Here we report the synthesis of M3Ag17(4-tert-butylbenzene-thiol)12, which has good stability and an unusual optical spectrum. We also present a rational strategy for predicting the structure of this molecule. First-principles calculations support the structural model, predict a HOMO-LUMO energy gap of 1.77 eV, and predict a new "monomer mount" capping motif, Ag(SR)3, for Ag nanoparticles. The calculated optical absorption spectrum is in good correspondence with the measured spectrum. Heteroatom substitution was also used as a structural probe. First-principles calculations based on the structural model predicted a strong preference for a single Au atom substitution in agreement with experiment.

Reconsidering the “Good Divorce”

PubMed Central

Amato, Paul R.; Kane, Jennifer B.; James, Spencer

2011-01-01

This study attempted to assess the notion that a “good divorce” protects children from the potential negative consequences of marital dissolution. A cluster analysis of data on postdivorce parenting from 944 families resulted in three groups: cooperative coparenting, parallel parenting, and single parenting. Children in the cooperative coparenting (good divorce) cluster had the smallest number of behavior problems and the closest ties to their fathers. Nevertheless, children in this cluster did not score significantly better than other children on 10 additional outcomes. These findings provide only modest support for the good divorce hypothesis. PMID:22125355

Why good ideas and good science do not always make it into the marketplace

Treesearch

Charles R. Frihart

2007-01-01

Good ideas and good science are not sufficient in and of themselves for successful commercialization of new technology. Understanding the barriers to commercialization so that ways around, under, over, or through them can be found is also crucial to success. Barriers can include market needs, technology push versus market pull, availability of a window of opportunity,...

28 CFR 523.11 - Meritorious good time.

Code of Federal Regulations, 2010 CFR

2010-07-01

..., AND TRANSFER COMPUTATION OF SENTENCE Extra Good Time § 523.11 Meritorious good time. (a) Staff are responsible for recommending meritorious good time based upon work performance. Each recommendation must... 28 Judicial Administration 2 2010-07-01 2010-07-01 false Meritorious good time. 523.11 Section 523...

28 CFR 523.11 - Meritorious good time.

Code of Federal Regulations, 2012 CFR

2012-07-01

..., AND TRANSFER COMPUTATION OF SENTENCE Extra Good Time § 523.11 Meritorious good time. (a) Staff are responsible for recommending meritorious good time based upon work performance. Each recommendation must... 28 Judicial Administration 2 2012-07-01 2012-07-01 false Meritorious good time. 523.11 Section 523...

28 CFR 523.11 - Meritorious good time.

Code of Federal Regulations, 2013 CFR

2013-07-01

..., AND TRANSFER COMPUTATION OF SENTENCE Extra Good Time § 523.11 Meritorious good time. (a) Staff are responsible for recommending meritorious good time based upon work performance. Each recommendation must... 28 Judicial Administration 2 2013-07-01 2013-07-01 false Meritorious good time. 523.11 Section 523...

28 CFR 523.11 - Meritorious good time.

Code of Federal Regulations, 2014 CFR

2014-07-01

..., AND TRANSFER COMPUTATION OF SENTENCE Extra Good Time § 523.11 Meritorious good time. (a) Staff are responsible for recommending meritorious good time based upon work performance. Each recommendation must... 28 Judicial Administration 2 2014-07-01 2014-07-01 false Meritorious good time. 523.11 Section 523...

28 CFR 523.11 - Meritorious good time.

Code of Federal Regulations, 2011 CFR

2011-07-01

..., AND TRANSFER COMPUTATION OF SENTENCE Extra Good Time § 523.11 Meritorious good time. (a) Staff are responsible for recommending meritorious good time based upon work performance. Each recommendation must... 28 Judicial Administration 2 2011-07-01 2011-07-01 false Meritorious good time. 523.11 Section 523...

19 CFR 10.770 - Originating goods.

Code of Federal Regulations, 2010 CFR

2010-04-01

... Rules of Origin § 10.770 Originating goods. (a) General. A good will be considered an originating good... provided for in a heading or subheading of the HTSUS that is not covered by the product-specific rules set... the product-specific rules set forth in General Note 27(h), HTSUS, and: (i)(A) Each of the non...

SVM-Based System for Prediction of Epileptic Seizures from iEEG Signal

PubMed Central

Cherkassky, Vladimir; Lee, Jieun; Veber, Brandon; Patterson, Edward E.; Brinkmann, Benjamin H.; Worrell, Gregory A.

2017-01-01

Objective This paper describes a data-analytic modeling approach for prediction of epileptic seizures from intracranial electroencephalogram (iEEG) recording of brain activity. Even though it is widely accepted that statistical characteristics of iEEG signal change prior to seizures, robust seizure prediction remains a challenging problem due to subject-specific nature of data-analytic modeling. Methods Our work emphasizes understanding of clinical considerations important for iEEG-based seizure prediction, and proper translation of these clinical considerations into data-analytic modeling assumptions. Several design choices during pre-processing and post-processing are considered and investigated for their effect on seizure prediction accuracy. Results Our empirical results show that the proposed SVM-based seizure prediction system can achieve robust prediction of preictal and interictal iEEG segments from dogs with epilepsy. The sensitivity is about 90–100%, and the false-positive rate is about 0–0.3 times per day. The results also suggest good prediction is subject-specific (dog or human), in agreement with earlier studies. Conclusion Good prediction performance is possible only if the training data contain sufficiently many seizure episodes, i.e., at least 5–7 seizures. Significance The proposed system uses subject-specific modeling and unbalanced training data. This system also utilizes three different time scales during training and testing stages. PMID:27362758

Training or non-surgical factors-what determines a good surgical performance? A randomised controlled trial.

PubMed

Lindlohr, Cornelia; Lefering, R; Saad, S; Heiss, M M; Pape-Köhler, C

2017-06-01

Acquiring laparoscopic skills is a necessity for every young surgeon. Whether it is a talent or a non-surgical skill that determines the surgical performance of an endoscopic operation has been discussed for years. In other disciplines aptitude testing has become the norm. Airlines, for example, have implemented assessments to test the natural aptitude of future pilots to predict their performance later on. In the medical field, especially surgery, there are no similar comparable tests implemented or even available. This study investigates the influence of potential factors that may predict the successful performance of a complex laparoscopic operation, such as the surgeon's age, gender or learning method. This study focussed 70 surgical trainees. It was designed as a secondary analysis of data derived from a 2 × 2 factorial randomised controlled trial of practical training and/or multimedia training (four groups) in an experimental exercise. Both before and then after the training sessions, the participating trainees performed a laparoscopic cholecystectomy in a pelvitrainer. Surgical performance was then evaluated using a modified objective structured assessment of technical skills (OSATS). Participants were classified as 'Skilled' (high score in the pre-test), 'Good Learner' (increase from pre- to post-test) or 'Others' based on the OSATS results. Based on the results of the recorded performance, the training methods as well as non-surgical skills were eventually evaluated in a univariate and in a multivariate analysis. In the pre-training performance 11 candidates were categorised as 'Skilled' (15.7%), 35 participants as 'Good Learners' (50.0%) and 24 participants were classified as 'Others'. The univariate analysis showed that the age, a residency in visceral surgery, and participation in a multimedia training were significantly associated with this grouping. Multivariate analyses revealed that residency in visceral surgery was the most predictive factor

7 CFR 51.1011 - Good green color.

Code of Federal Regulations, 2011 CFR

2011-01-01

... Standards for Persian (Tahiti) Limes Definitions § 51.1011 Good green color. Good green color means that the skin of the lime is of a good green color characteristic of the Persian variety. ... 7 Agriculture 2 2011-01-01 2011-01-01 false Good green color. 51.1011 Section 51.1011 Agriculture...

7 CFR 51.1011 - Good green color.

Code of Federal Regulations, 2012 CFR

2012-01-01

... Standards for Persian (Tahiti) Limes Definitions § 51.1011 Good green color. Good green color means that the skin of the lime is of a good green color characteristic of the Persian variety. ... 7 Agriculture 2 2012-01-01 2012-01-01 false Good green color. 51.1011 Section 51.1011 Agriculture...

7 CFR 51.1011 - Good green color.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 7 Agriculture 2 2010-01-01 2010-01-01 false Good green color. 51.1011 Section 51.1011 Agriculture... Standards for Persian (Tahiti) Limes Definitions § 51.1011 Good green color. Good green color means that the skin of the lime is of a good green color characteristic of the Persian variety. ...

What Are Good Child Outcomes?

ERIC Educational Resources Information Center

Moore, Kristin Anderson; Evans, V. Jeffery; Brooks-Gunn, Jeanne; Roth, Jodie

This paper considers the question "What are good child outcomes?" from the perspectives of developmental psychology, economics, and sociology. Section 1 of the paper examines good child outcomes as characteristics of stage-salient tasks of development. Section 2 emphasizes the acquisition of "human capital," the development of productive traits…

12 CFR 220.6 - Good faith account.

Code of Federal Regulations, 2011 CFR

2011-01-01

... 12 Banks and Banking 3 2011-01-01 2011-01-01 false Good faith account. 220.6 Section 220.6 Banks... BY BROKERS AND DEALERS (REGULATION T) § 220.6 Good faith account. In a good faith account, a creditor...) Securities entitled to good faith margin—(1) Permissible transactions. A creditor may effect and finance...

12 CFR 220.6 - Good faith account.

Code of Federal Regulations, 2012 CFR

2012-01-01

... 12 Banks and Banking 3 2012-01-01 2012-01-01 false Good faith account. 220.6 Section 220.6 Banks... BY BROKERS AND DEALERS (REGULATION T) § 220.6 Good faith account. In a good faith account, a creditor...) Securities entitled to good faith margin—(1) Permissible transactions. A creditor may effect and finance...

12 CFR 220.6 - Good faith account.

Code of Federal Regulations, 2013 CFR

2013-01-01

... 12 Banks and Banking 3 2013-01-01 2013-01-01 false Good faith account. 220.6 Section 220.6 Banks... (CONTINUED) CREDIT BY BROKERS AND DEALERS (REGULATION T) § 220.6 Good faith account. In a good faith account...: (a) Securities entitled to good faith margin—(1) Permissible transactions. A creditor may effect and...

12 CFR 220.6 - Good faith account.

Code of Federal Regulations, 2014 CFR

2014-01-01

... 12 Banks and Banking 3 2014-01-01 2014-01-01 false Good faith account. 220.6 Section 220.6 Banks... (CONTINUED) CREDIT BY BROKERS AND DEALERS (REGULATION T) § 220.6 Good faith account. In a good faith account...: (a) Securities entitled to good faith margin—(1) Permissible transactions. A creditor may effect and...

28 CFR 523.20 - Good conduct time.

Code of Federal Regulations, 2011 CFR

2011-07-01

... TRANSFER COMPUTATION OF SENTENCE Good Conduct Time § 523.20 Good conduct time. (a) For inmates serving a... 28 Judicial Administration 2 2011-07-01 2011-07-01 false Good conduct time. 523.20 Section 523.20... will award 54 days credit toward service of sentence (good conduct time credit) for each year served...

28 CFR 523.20 - Good conduct time.

Code of Federal Regulations, 2013 CFR

2013-07-01

... TRANSFER COMPUTATION OF SENTENCE Good Conduct Time § 523.20 Good conduct time. (a) For inmates serving a... 28 Judicial Administration 2 2013-07-01 2013-07-01 false Good conduct time. 523.20 Section 523.20... will award 54 days credit toward service of sentence (good conduct time credit) for each year served...

28 CFR 523.20 - Good conduct time.

Code of Federal Regulations, 2012 CFR

2012-07-01

... TRANSFER COMPUTATION OF SENTENCE Good Conduct Time § 523.20 Good conduct time. (a) For inmates serving a... 28 Judicial Administration 2 2012-07-01 2012-07-01 false Good conduct time. 523.20 Section 523.20... will award 54 days credit toward service of sentence (good conduct time credit) for each year served...

28 CFR 523.20 - Good conduct time.

Code of Federal Regulations, 2014 CFR

2014-07-01

... TRANSFER COMPUTATION OF SENTENCE Good Conduct Time § 523.20 Good conduct time. (a) For inmates serving a... 28 Judicial Administration 2 2014-07-01 2014-07-01 false Good conduct time. 523.20 Section 523.20... will award 54 days credit toward service of sentence (good conduct time credit) for each year served...

Temporal and geographical external validation study and extension of the Mayo Clinic prediction model to predict eGFR in the younger population of Swiss ADPKD patients.

PubMed

Girardat-Rotar, Laura; Braun, Julia; Puhan, Milo A; Abraham, Alison G; Serra, Andreas L

2017-07-17

Prediction models in autosomal dominant polycystic kidney disease (ADPKD) are useful in clinical settings to identify patients with greater risk of a rapid disease progression in whom a treatment may have more benefits than harms. Mayo Clinic investigators developed a risk prediction tool for ADPKD patients using a single kidney value. Our aim was to perform an independent geographical and temporal external validation as well as evaluate the potential for improving the predictive performance by including additional information on total kidney volume. We used data from the on-going Swiss ADPKD study from 2006 to 2016. The main analysis included a sample size of 214 patients with Typical ADPKD (Class 1). We evaluated the Mayo Clinic model performance calibration and discrimination in our external sample and assessed whether predictive performance could be improved through the addition of subsequent kidney volume measurements beyond the baseline assessment. The calibration of both versions of the Mayo Clinic prediction model using continuous Height adjusted total kidney volume (HtTKV) and using risk subclasses was good, with R 2 of 78% and 70%, respectively. Accuracy was also good with 91.5% and 88.7% of the predicted within 30% of the observed, respectively. Additional information regarding kidney volume did not substantially improve the model performance. The Mayo Clinic prediction models are generalizable to other clinical settings and provide an accurate tool based on available predictors to identify patients at high risk for rapid disease progression.

31 CFR 560.306 - Iranian-origin goods or services; goods or services owned or controlled by the Government of Iran.

Code of Federal Regulations, 2012 CFR

2012-07-01

...; goods or services owned or controlled by the Government of Iran. 560.306 Section 560.306 Money and... goods or services; goods or services owned or controlled by the Government of Iran. (a) The terms goods..., extracted, or processed in Iran; and (2) Goods which have entered into Iranian commerce. (b) The terms...

31 CFR 560.306 - Iranian-origin goods or services; goods or services owned or controlled by the Government of Iran.

Code of Federal Regulations, 2011 CFR

2011-07-01

...; goods or services owned or controlled by the Government of Iran. 560.306 Section 560.306 Money and... goods or services; goods or services owned or controlled by the Government of Iran. (a) The terms goods..., extracted, or processed in Iran; and (2) Goods which have entered into Iranian commerce. (b) The terms...

31 CFR 560.306 - Iranian-origin goods or services; goods or services owned or controlled by the Government of Iran.

Code of Federal Regulations, 2010 CFR

2010-07-01

...; goods or services owned or controlled by the Government of Iran. 560.306 Section 560.306 Money and... goods or services; goods or services owned or controlled by the Government of Iran. (a) The terms goods..., extracted, or processed in Iran; and (2) Goods which have entered into Iranian commerce. (b) The terms...

Public goods and procreation.

PubMed

Anomaly, Jonathan

2014-01-01

Procreation is the ultimate public goods problem. Each new child affects the welfare of many other people, and some (but not all) children produce uncompensated value that future people will enjoy. This essay addresses challenges that arise if we think of procreation and parenting as public goods. These include whether individual choices are likely to lead to a socially desirable outcome, and whether changes in laws, social norms, or access to genetic engineering and embryo selection might improve the aggregate outcome of our reproductive choices.

Optimal prediction of the number of unseen species

PubMed Central

Orlitsky, Alon; Suresh, Ananda Theertha; Wu, Yihong

2016-01-01

Estimating the number of unseen species is an important problem in many scientific endeavors. Its most popular formulation, introduced by Fisher et al. [Fisher RA, Corbet AS, Williams CB (1943) J Animal Ecol 12(1):42−58], uses n samples to predict the number U of hitherto unseen species that would be observed if t⋅n new samples were collected. Of considerable interest is the largest ratio t between the number of new and existing samples for which U can be accurately predicted. In seminal works, Good and Toulmin [Good I, Toulmin G (1956) Biometrika 43(102):45−63] constructed an intriguing estimator that predicts U for all t≤1. Subsequently, Efron and Thisted [Efron B, Thisted R (1976) Biometrika 63(3):435−447] proposed a modification that empirically predicts U even for some t>1, but without provable guarantees. We derive a class of estimators that provably predict U all of the way up to t∝log⁡n. We also show that this range is the best possible and that the estimator’s mean-square error is near optimal for any t. Our approach yields a provable guarantee for the Efron−Thisted estimator and, in addition, a variant with stronger theoretical and experimental performance than existing methodologies on a variety of synthetic and real datasets. The estimators are simple, linear, computationally efficient, and scalable to massive datasets. Their performance guarantees hold uniformly for all distributions, and apply to all four standard sampling models commonly used across various scientific disciplines: multinomial, Poisson, hypergeometric, and Bernoulli product. PMID:27830649

Optimal prediction of the number of unseen species.

PubMed

Orlitsky, Alon; Suresh, Ananda Theertha; Wu, Yihong

2016-11-22

Estimating the number of unseen species is an important problem in many scientific endeavors. Its most popular formulation, introduced by Fisher et al. [Fisher RA, Corbet AS, Williams CB (1943) J Animal Ecol 12(1):42-58], uses n samples to predict the number U of hitherto unseen species that would be observed if [Formula: see text] new samples were collected. Of considerable interest is the largest ratio t between the number of new and existing samples for which U can be accurately predicted. In seminal works, Good and Toulmin [Good I, Toulmin G (1956) Biometrika 43(102):45-63] constructed an intriguing estimator that predicts U for all [Formula: see text] Subsequently, Efron and Thisted [Efron B, Thisted R (1976) Biometrika 63(3):435-447] proposed a modification that empirically predicts U even for some [Formula: see text], but without provable guarantees. We derive a class of estimators that provably predict U all of the way up to [Formula: see text] We also show that this range is the best possible and that the estimator's mean-square error is near optimal for any t Our approach yields a provable guarantee for the Efron-Thisted estimator and, in addition, a variant with stronger theoretical and experimental performance than existing methodologies on a variety of synthetic and real datasets. The estimators are simple, linear, computationally efficient, and scalable to massive datasets. Their performance guarantees hold uniformly for all distributions, and apply to all four standard sampling models commonly used across various scientific disciplines: multinomial, Poisson, hypergeometric, and Bernoulli product.

29 CFR 570.141 - Good faith defense.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 29 Labor 3 2011-07-01 2011-07-01 false Good faith defense. 570.141 Section 570.141 Labor... Provisions of the Fair Labor Standards Act of 1938, as Amended Enforcement § 570.141 Good faith defense. A... ships or delivers for shipment in commerce goods which he acquired in good faith in reliance on written...

29 CFR 570.141 - Good faith defense.

Code of Federal Regulations, 2013 CFR

2013-07-01

... 29 Labor 3 2013-07-01 2013-07-01 false Good faith defense. 570.141 Section 570.141 Labor... Provisions of the Fair Labor Standards Act of 1938, as Amended Enforcement § 570.141 Good faith defense. A... ships or delivers for shipment in commerce goods which he acquired in good faith in reliance on written...

29 CFR 570.141 - Good faith defense.

Code of Federal Regulations, 2014 CFR

2014-07-01

... 29 Labor 3 2014-07-01 2014-07-01 false Good faith defense. 570.141 Section 570.141 Labor... Provisions of the Fair Labor Standards Act of 1938, as Amended Enforcement § 570.141 Good faith defense. A... ships or delivers for shipment in commerce goods which he acquired in good faith in reliance on written...

29 CFR 570.141 - Good faith defense.

Code of Federal Regulations, 2012 CFR

2012-07-01

... 29 Labor 3 2012-07-01 2012-07-01 false Good faith defense. 570.141 Section 570.141 Labor... Provisions of the Fair Labor Standards Act of 1938, as Amended Enforcement § 570.141 Good faith defense. A... ships or delivers for shipment in commerce goods which he acquired in good faith in reliance on written...

Prediction of attenuation of the 28 GHz COMSTAR beacon signal using radar and measured rain drop spectra

NASA Technical Reports Server (NTRS)

Goldhirsh, J.

1977-01-01

Disdrometer measurements and radar reflectivity measurements were injected into a computer program to estimate the path attenuation of the signal. Predicted attenuations when compared with the directly measured ones showed generally good correlation on a case by case basis and very good agreement statistically. The utility of using radar in conjunction with disdrometer measurements for predicting fade events and long term fade distributions associated with earth-satellite telecommunications is demonstrated.

Novel Approach for the Recognition and Prediction of Multi-Function Radar Behaviours Based on Predictive State Representations

PubMed Central

Ou, Jian; Chen, Yongguang; Zhao, Feng; Liu, Jin; Xiao, Shunping

2017-01-01

The extensive applications of multi-function radars (MFRs) have presented a great challenge to the technologies of radar countermeasures (RCMs) and electronic intelligence (ELINT). The recently proposed cognitive electronic warfare (CEW) provides a good solution, whose crux is to perceive present and future MFR behaviours, including the operating modes, waveform parameters, scheduling schemes, etc. Due to the variety and complexity of MFR waveforms, the existing approaches have the drawbacks of inefficiency and weak practicability in prediction. A novel method for MFR behaviour recognition and prediction is proposed based on predictive state representation (PSR). With the proposed approach, operating modes of MFR are recognized by accumulating the predictive states, instead of using fixed transition probabilities that are unavailable in the battlefield. It helps to reduce the dependence of MFR on prior information. And MFR signals can be quickly predicted by iteratively using the predicted observation, avoiding the very large computation brought by the uncertainty of future observations. Simulations with a hypothetical MFR signal sequence in a typical scenario are presented, showing that the proposed methods perform well and efficiently, which attests to their validity. PMID:28335492

Good for God? Religious motivation reduces perceived responsibility for and morality of good deeds.

PubMed

Gervais, Will M

2014-08-01

Many people view religion as a crucial source of morality. However, 6 experiments (total N = 1,078) revealed that good deeds are perceived as less moral if they are performed for religious reasons. Religiously motivated acts were seen as less moral than the exact same acts performed for other reasons (Experiments 1-2 and 6). Religious motivations also reduced attributions of intention and responsibility (Experiments 3-6), an effect that fully mediated the effect of religious motivations on perceived morality (Experiment 6). The effects were not explained by different perceptions of motivation orientation (i.e., intrinsic vs. extrinsic) across conditions (Experiment 4) and also were evident when religious upbringing led to an intuitive moral response (Experiment 5). Effects generalized across religious and nonreligious participants. When viewing a religiously motivated good deed, people infer that actually helping others is, in part, a side effect of other motivations rather than an end in itself. Thus, religiously motivated actors are seen as less responsible than secular actors for their good deeds, and their helping behavior is viewed as less moral than identical good deeds performed for either unclear or secular motivations. PsycINFO Database Record (c) 2014 APA, all rights reserved.

Minority Game of price promotions in fast moving consumer goods markets

NASA Astrophysics Data System (ADS)

Groot, Robert D.; Musters, Pieter A. D.

2005-05-01

A variation of the Minority Game has been applied to study the timing of promotional actions at retailers in the fast moving consumer goods market. The underlying hypotheses for this work are that price promotions are more effective when fewer than average competitors do a promotion, and that a promotion strategy can be based on past sales data. The first assumption has been checked by analysing 1467 promotional actions for three products on the Dutch market (ketchup, mayonnaise and curry sauce) over a 120-week period, both on an aggregated level and on retailer chain level. The second assumption was tested by analysing past sales data with the Minority Game. This revealed that high or low competitor promotional pressure for actual ketchup, mayonnaise, curry sauce and barbecue sauce markets is to some extent predictable up to a forecast of some 10 weeks. Whereas a random guess would be right 50% of the time, a single-agent game can predict the market with a success rate of 56% for a 6-9 week forecast. This number is the same for all four mentioned fast moving consumer markets. For a multi-agent game a larger variability in the success rate is obtained, but predictability can be as high as 65%. Contrary to expectation, the actual market does the opposite of what game theory would predict. This points at a systematic oscillation in the market. Even though this result is not fully understood, merely observing that this trend is present in the data could lead to exploitable trading benefits. As a check, random history strings were generated from which the statistical variation in the game prediction was studied. This shows that the odds are 1:1,000,000 that the observed pattern in the market is based on coincidence.

The Essence of Good Teaching.

ERIC Educational Resources Information Center

Sherman, Robert R.

1986-01-01

Compares and contrasts views of what constitutes good teaching in four recent books: "My Harvard, My Yale: Memoirs of College Life by Some Notable Americans" (Dubois, 1982); "Twenty Teachers" (Macrorie, 1984); "Artistry in Teaching" (Rubin, 1985); and "The Essence of Good Teaching: Helping Students Learn and Remember What They Learn" (Eriksen,…

Transonic cascade flow prediction using the Navier-Stokes equations

NASA Technical Reports Server (NTRS)

Arnone, A.; Stecco, S. S.

1991-01-01

This paper presents results which summarize the work carried out during the last three years to improve the efficiency and accuracy of numerical predictions in turbomachinery flow calculations. A new kind of nonperiodic c-type grid is presented and a Runge-Kutta scheme with accelerating strategies is used as a flow solver. The code capability is presented by testing four different blades at different exit Mach numbers in transonic regimes. Comparison with experiments shows the very good reliability of the numerical prediction. In particular, the loss coefficient seems to be correctly predicted by using the well-known Baldwin-Lomax turbulence model.

When is good, good enough? Methodological pragmatism for sustainable guideline development.

PubMed

Browman, George P; Somerfield, Mark R; Lyman, Gary H; Brouwers, Melissa C

2015-03-06

Continuous escalation in methodological and procedural rigor for evidence-based processes in guideline development is associated with increasing costs and production delays that threaten sustainability. While health research methodologists are appropriately responsible for promoting increasing rigor in guideline development, guideline sponsors are responsible for funding such processes. This paper acknowledges that other stakeholders in addition to methodologists should be more involved in negotiating trade-offs between methodological procedures and efficiency in guideline production to produce guidelines that are 'good enough' to be trustworthy and affordable under specific circumstances. The argument for reasonable methodological compromise to meet practical circumstances is consistent with current implicit methodological practice. This paper proposes a conceptual tool as a framework to be used by different stakeholders in negotiating, and explicitly reporting, reasonable compromises for trustworthy as well as cost-worthy guidelines. The framework helps fill a transparency gap in how methodological choices in guideline development are made. The principle, 'when good is good enough' can serve as a basis for this approach. The conceptual tool 'Efficiency-Validity Methodological Continuum' acknowledges trade-offs between validity and efficiency in evidence-based guideline development and allows for negotiation, guided by methodologists, of reasonable methodological compromises among stakeholders. Collaboration among guideline stakeholders in the development process is necessary if evidence-based guideline development is to be sustainable.

[The myth of the good savage].

PubMed

Yampey, N

1994-09-01

The conquest of the New World gave way to the myth of the Good Savage. For the Renaissance intellectuals, the ancient ideas about the Golden Age (an ideal society promising an unending bliss) seemed to be brought back to life at last. Sharply contrasting with the European exacerbated unrest of the time, America stood for a redeeming hope, a symbol of a better future. The myth of the Good Savage assumes people to be naturally good, but civilization has led them into the realm of violence, hatred, and cruelty. Besides being naturally good, nice-minded people, "good savages" were also useful, obedient people, most likely to be easily exploited by Europeans--a source for the historical drama to come. On the verge of freeing itself from the Spanish rule, Latin America--fighting its way toward independence, had three enlightened mentors: Voltaire, Rousseau, and Montesquieu. There, again, another deep contrast arose between the abstract characteristics of Latin American aims to perfection, and people's actual behaviors. The former "good savage" became the modern "Latin American" embodying an utopia as well as a hope in his eagerness for setting up a plural, and humanized culture. The myth of the Good Savage represents a deep longing for an objectivation of the ego-ideal: it has been used, so to speak, in collective mobilizations as well as dogmatic crystallizations, to escape from ignominous realities or to project alternatives for a better socially-shared life.

The Common Good in Classical Political Philosophy

ERIC Educational Resources Information Center

Lewis, V. Bradley

2006-01-01

The term "common good" names the end (or final cause) of political and social life in the tradition of moral thought that owes its main substance to Aristotle and St. Thomas Aquinas. It names a genuine good ("bonum honestum") and not merely an instrumental or secondary good defeasible in the face of particular goods. However, at the same time, it…

The ethics of good communication in a complex research partnership.

PubMed

Sodeke, Stephen; Turner, Timothy; Tarver, Will

2010-08-01

The tripartite partnership among Morehouse School of Medicine, Tuskegee University, and University of Alabama at Birmingham is complex. In 2005, the three schools--with different institutional cultures, characters, and resources--agreed to collaborate in efforts to eliminate racial/ethnic disparities in cancer burdens. Pursuing this laudable aim predictably involved some miscommunication. The Bioethics Shared Resource (BSR) group foresaw such challenges and monitored interactions to prevent harm, noting that while effective communication is critical to the achievement of mutual goals, an understanding and prudent use of proven communication principles is a sine qua non for success. In this commentary, we share the undergirding moral concepts, communication approaches, and lessons learned. This experience has led us to propose an ethics of good communication for others to consider.

The Ethics of Good Communication in a Complex Research Partnership

PubMed Central

Sodeke, Stephen; Turner, Timothy; Tarver, Will

2013-01-01

The tripartite partnership among Morehouse School of Medicine, Tuskegee University, and University of Alabama at Birmingham is complex. In 2005, the three schools—with different institutional cultures, characters, and resources—agreed to collaborate in efforts to eliminate racial/ethnic disparities in cancer burdens. Pursuing this laudable aim predictably involved some miscommunication. The Bioethics Shared Resource (BSR) group foresaw such challenges and monitored interactions to prevent harm, noting that while effective communication is critical to the achievement of mutual goals, an understanding and prudent use of proven communication principles is a sine qua non for success. In this commentary, we share the undergirding moral concepts, communication approaches, and lessons learned. This experience has led us to propose an ethics of good communication for others to consider. PMID:20675944

Substantial Goodness and Nascent Human Life.

PubMed

Floyd, Shawn

2015-09-01

Many believe that moral value is--at least to some extent--dependent on the developmental states necessary for supporting rational activity. My paper rejects this view, but does not aim simply to register objections to it. Rather, my essay aims to answer the following question: if a human being's developmental state and occurrent capacities do not bequeath moral standing, what does? The question is intended to prompt careful consideration of what makes human beings objects of moral value, dignity, or (to employ my preferred term) goodness. Not only do I think we can answer this question, I think we can show that nascent human life possesses goodness of precisely this sort. I appeal to Aquinas's metaethics to establish the conclusion that the goodness of a human being--even if that being is an embryo or fetus--resides at the substratum of her existence. If she possesses goodness, it is because human existence is good.

Students' and teachers' cognitions about good teachers.

PubMed

Beishuizen, J J; Hof, E; van Putten, C M; Bouwmeester, S; Asscher, J J

2001-06-01

Good teachers have been studied ever since Plato described how Socrates taught by asking questions of his audience. Recent findings shed light on two characteristics of good teachers: their personality and their ability. However, more attention has been paid to teachers' practices and opinions than to students' views. The study reported here attempted to deepen our understanding of what students think about good teachers. Students of four age groups (7, 10, 13, and 16 years of age) and teachers from primary and secondary schools were asked to write an essay on the good teacher. The correspondence between conceptual items in the essays was investigated by determining the extent to which they were used in the same essays to describe good teachers. Correspondence analysis revealed two dimensions. The first dimension reflected the preference of students and teachers for describing the good teacher in terms of either personality or ability characteristics. The second dimension was interpreted as an orientation in the essays towards either attachment to, detachment from or commitment to school and teachers. Students and teachers were compared to establish the amount of (dis)agreement about what makes a good teacher. Primary school students described good teachers primarily as competent instructors, focusing on transfer of knowledge and skills, whereas secondary school students emphasised relational aspects of good teachers. Teachers, however, considered good teachers in the first place a matter of establishing personal relationships with their students. Consequently, primary school students and teachers disagreed about the characteristics of good teachers. In secondary education, disagreements between teachers and students were relatively small. The research method of collecting free essays and utilising correspondence analysis to represent conceptual items and groups of participants seems promising as long as a theoretical framework is available to interpret the

Individualized prediction of perineural invasion in colorectal cancer: development and validation of a radiomics prediction model.

PubMed

Huang, Yanqi; He, Lan; Dong, Di; Yang, Caiyun; Liang, Cuishan; Chen, Xin; Ma, Zelan; Huang, Xiaomei; Yao, Su; Liang, Changhong; Tian, Jie; Liu, Zaiyi

2018-02-01

To develop and validate a radiomics prediction model for individualized prediction of perineural invasion (PNI) in colorectal cancer (CRC). After computed tomography (CT) radiomics features extraction, a radiomics signature was constructed in derivation cohort (346 CRC patients). A prediction model was developed to integrate the radiomics signature and clinical candidate predictors [age, sex, tumor location, and carcinoembryonic antigen (CEA) level]. Apparent prediction performance was assessed. After internal validation, independent temporal validation (separate from the cohort used to build the model) was then conducted in 217 CRC patients. The final model was converted to an easy-to-use nomogram. The developed radiomics nomogram that integrated the radiomics signature and CEA level showed good calibration and discrimination performance [Harrell's concordance index (c-index): 0.817; 95% confidence interval (95% CI): 0.811-0.823]. Application of the nomogram in validation cohort gave a comparable calibration and discrimination (c-index: 0.803; 95% CI: 0.794-0.812). Integrating the radiomics signature and CEA level into a radiomics prediction model enables easy and effective risk assessment of PNI in CRC. This stratification of patients according to their PNI status may provide a basis for individualized auxiliary treatment.

Profiles of neurological outcome prediction among intensivists.

PubMed

Racine, Eric; Dion, Marie-Josée; Wijman, Christine A C; Illes, Judy; Lansberg, Maarten G

2009-12-01

Advances in intensive care medicine have increased survival rates of patients with critical neurological conditions. The focus of prognostication for such patients is therefore shifting from predicting chances of survival to meaningful neurological recovery. This study assessed the variability in long-term outcome predictions among physicians and aimed to identify factors that may account for this variability. Based on a clinical vignette describing a comatose patient suffering from post-anoxic brain injury intensivists were asked in a semi-structured interview about the patient's specific neurological prognosis and about prognostication in general. Qualitative research methods were used to identify areas of variability in prognostication and to classify physicians according to specific prognostication profiles. Quantitative statistics were used to assess for associations between prognostication profiles and physicians' demographic and practice characteristics. Eighteen intensivists participated. Functional outcome predictions varied along an evaluative dimension (fair/good-poor) and a confidence dimension (certain-uncertain). More experienced physicians tended to be more pessimistic about the patient's functional outcome and more certain of their prognosis. Attitudes toward quality of life varied along an evaluative dimension (good-poor) and a "style" dimension (objective-subjective). Older and more experienced physicians were more likely to express objective judgments of quality of life and to predict a worse quality of life for the patient than their younger and less experienced counterparts. Various prognostication profiles exist among intensivists. These may be dictated by factors such as physicians' age and clinical experience. Awareness of these associations may be a first step to more uniform prognostication.

Good Practices for Transforming Education

ERIC Educational Resources Information Center

Benavente, Ana; Panchaud, Christine

2008-01-01

This text is a guide to the reading and interpretation of the "good practices" that are developing in the countries participating in this project and elsewhere. A systematic approach to the factors making up a "good practice" has enabled us to share our analyses in a more structured manner and to reflect on their potential for…

Nature of Good and Evil.

ERIC Educational Resources Information Center

Utica City School District, NY.

This humanistic curriculum project concerning good and evil is part of a model program of inservice training and curriculum redesign for grades K-12 known as Project SEARCH. Objectives of the unit are to provide students an understanding that good and evil are a reflection of man's values, a comprehension of modern scientific theories on the…

Predictions of spray combustion interactions

NASA Technical Reports Server (NTRS)

Shuen, J. S.; Solomon, A. S. P.; Faeth, G. M.

1984-01-01

Mean and fluctuating phase velocities; mean particle mass flux; particle size; and mean gas-phase Reynolds stress, composition and temperature were measured in stationary, turbulent, axisymmetric, and flows which conform to the boundary layer approximations while having well-defined initial and boundary conditions in dilute particle-laden jets, nonevaporating sprays, and evaporating sprays injected into a still air environment. Three models of the processes, typical of current practice, were evaluated. The local homogeneous flow and deterministic separated flow models did not provide very satisfactory predictions over the present data base. In contrast, the stochastic separated flow model generally provided good predictions and appears to be an attractive approach for treating nonlinear interphase transport processes in turbulent flows containing particles (drops).

Good coupling for the multiscale patch scheme on systems with microscale heterogeneity

NASA Astrophysics Data System (ADS)

Bunder, J. E.; Roberts, A. J.; Kevrekidis, I. G.

2017-05-01

Computational simulation of microscale detailed systems is frequently only feasible over spatial domains much smaller than the macroscale of interest. The 'equation-free' methodology couples many small patches of microscale computations across space to empower efficient computational simulation over macroscale domains of interest. Motivated by molecular or agent simulations, we analyse the performance of various coupling schemes for patches when the microscale is inherently 'rough'. As a canonical problem in this universality class, we systematically analyse the case of heterogeneous diffusion on a lattice. Computer algebra explores how the dynamics of coupled patches predict the large scale emergent macroscale dynamics of the computational scheme. We determine good design for the coupling of patches by comparing the macroscale predictions from patch dynamics with the emergent macroscale on the entire domain, thus minimising the computational error of the multiscale modelling. The minimal error on the macroscale is obtained when the coupling utilises averaging regions which are between a third and a half of the patch. Moreover, when the symmetry of the inter-patch coupling matches that of the underlying microscale structure, patch dynamics predicts the desired macroscale dynamics to any specified order of error. The results confirm that the patch scheme is useful for macroscale computational simulation of a range of systems with microscale heterogeneity.

Predicted and experimental steady and unsteady transonic flows about a biconvex airfoil

NASA Technical Reports Server (NTRS)

Levy, L. L., Jr.

1981-01-01

Results of computer code time dependent solutions of the two dimensional compressible Navier-Stokes equations and the results of independent experiments are compared to verify the Mach number range for instabilities in the transonic flow field about a 14 percent thick biconvex airfoil at an angle of attack of 0 deg and a Reynolds number of 7 million. The experiments were conducted in a transonic, slotted wall wind tunnel. The computer code included an algebraic eddy viscosity turbulence model developed for steady flows, and all computations were made using free flight boundary conditions. All of the features documented experimentally for both steady and unsteady flows were predicted qualitatively; even with the above simplifications, the predictions were, on the whole, in good quantitative agreement with experiment. In particular, predicted time histories of shock wave position, surface pressures, lift, and pitching moment were found to be in very good agreement with experiment for an unsteady flow. Depending upon the free stream Mach number for steady flows, the surface pressure downstream of the shock wave or the shock wave location was not well predicted.

Sleep Quality Prediction From Wearable Data Using Deep Learning.

PubMed

Sathyanarayana, Aarti; Joty, Shafiq; Fernandez-Luque, Luis; Ofli, Ferda; Srivastava, Jaideep; Elmagarmid, Ahmed; Arora, Teresa; Taheri, Shahrad

2016-11-04

The importance of sleep is paramount to health. Insufficient sleep can reduce physical, emotional, and mental well-being and can lead to a multitude of health complications among people with chronic conditions. Physical activity and sleep are highly interrelated health behaviors. Our physical activity during the day (ie, awake time) influences our quality of sleep, and vice versa. The current popularity of wearables for tracking physical activity and sleep, including actigraphy devices, can foster the development of new advanced data analytics. This can help to develop new electronic health (eHealth) applications and provide more insights into sleep science. The objective of this study was to evaluate the feasibility of predicting sleep quality (ie, poor or adequate sleep efficiency) given the physical activity wearable data during awake time. In this study, we focused on predicting good or poor sleep efficiency as an indicator of sleep quality. Actigraphy sensors are wearable medical devices used to study sleep and physical activity patterns. The dataset used in our experiments contained the complete actigraphy data from a subset of 92 adolescents over 1 full week. Physical activity data during awake time was used to create predictive models for sleep quality, in particular, poor or good sleep efficiency. The physical activity data from sleep time was used for the evaluation. We compared the predictive performance of traditional logistic regression with more advanced deep learning methods: multilayer perceptron (MLP), convolutional neural network (CNN), simple Elman-type recurrent neural network (RNN), long short-term memory (LSTM-RNN), and a time-batched version of LSTM-RNN (TB-LSTM). Deep learning models were able to predict the quality of sleep (ie, poor or good sleep efficiency) based on wearable data from awake periods. More specifically, the deep learning methods performed better than traditional logistic regression. “CNN had the highest specificity and

The predictive value of the baseline Oswestry Disability Index in lumbar disc arthroplasty.

PubMed

Deutsch, Harel

2010-06-01

The goal of the study was to determine patient factors predictive of good outcome after lumbar disc arthroplasty. Specifically, the paper examines the relationship of the preoperative Oswestry Disability Index (ODI) to patient outcome at 1 year. The study is a retrospective review of 20 patients undergoing a 1-level lumbar disc arthroplasty at the author's institution between 2004 and 2008. All data were collected prospectively. Data included the ODI, visual analog scale scores, and patient demographics. All patients underwent a 1-level disc arthroplasty at L4-5 or L5-S1. The patients were divided into 2 groups based on their baseline ODI. Patients with an ODI between 38 and 59 demonstrated better outcomes with lumbar disc arthroplasty. Only 1 (20%) of 5 patients with a baseline ODI higher than 60 reported a good outcome. In contrast, 13 (87%) of 15 patients with an ODI between 38 and 59 showed a good outcome (p = 0.03). The negative predictive value of using ODI > 60 is 60% in patients who are determined to be candidates for lumbar arthroplasty. Lumbar arthroplasty is very effective in some patients. Other patients do not improve after surgery. The baseline ODI results are predictive of outcome in patients selected for lumbar disc arthroplasty. A baseline ODI > 60 is predictive of poor outcome. A high ODI may be indicative of psychosocial overlay.

7 CFR 51.605 - Good heart formation.

Code of Federal Regulations, 2013 CFR

2013-01-01

... 7 Agriculture 2 2013-01-01 2013-01-01 false Good heart formation. 51.605 Section 51.605....605 Good heart formation. Good heart formation means that the stalk has a reasonable number of stocky inner heart branches for its size. ...

7 CFR 51.605 - Good heart formation.

Code of Federal Regulations, 2014 CFR

2014-01-01

... 7 Agriculture 2 2014-01-01 2014-01-01 false Good heart formation. 51.605 Section 51.605....605 Good heart formation. Good heart formation means that the stalk has a reasonable number of stocky inner heart branches for its size. ...

Validation of an Algorithm to Predict the Likelihood of an 8/8 HLA-Matched Unrelated Donor at Search Initiation.

PubMed

Davis, Eric; Devlin, Sean; Cooper, Candice; Nhaissi, Melissa; Paulson, Jennifer; Wells, Deborah; Scaradavou, Andromachi; Giralt, Sergio; Papadopoulos, Esperanza; Kernan, Nancy A; Byam, Courtney; Barker, Juliet N

2018-05-01

A strategy to rapidly determine if a matched unrelated donor (URD) can be secured for allograft recipients is needed. We sought to validate the accuracy of (1) HapLogic match predictions and (2) a resultant novel Search Prognosis (SP) patient categorization that could predict 8/8 HLA-matched URD(s) likelihood at search initiation. Patient prognosis categories at search initiation were correlated with URD confirmatory typing results. HapLogic-based SP categorizations accurately predicted the likelihood of an 8/8 HLA-match in 830 patients (1530 donors tested). Sixty percent of patients had 8/8 URD(s) identified. Patient SP categories (217 very good, 104 good, 178 fair, 33 poor, 153 very poor, 145 futile) were associated with a marked progressive decrease in 8/8 URD identification and transplantation. Very good to good categories were highly predictive of identifying and receiving an 8/8 URD regardless of ancestry. Europeans in fair/poor categories were more likely to identify and receive an 8/8 URD compared with non-Europeans. In all ancestries very poor and futile categories predicted no 8/8 URDs. HapLogic permits URD search results to be predicted once patient HLA typing and ancestry is obtained, dramatically improving search efficiency. Poor, very poor, andfutile searches can be immediately recognized, thereby facilitating prompt pursuit of alternative donors. Copyright © 2017 The American Society for Blood and Marrow Transplantation. Published by Elsevier Inc. All rights reserved.

Good Teachers, Good Schools: How to Create a Successful School

ERIC Educational Resources Information Center

Hudson, David

2009-01-01

"Good schools think 'with' people and not 'to' people" argues David Hudson in this thought provoking practical guide for those wanting to bridge the gap between middle and senior management roles, and make a difference in their schools. Accessibly and engagingly written and packed with real-life examples, this book will prove essential…

Utility of the MMPI Pain Assessment Index in Predicting Outcome After Lumbar Surgery.

ERIC Educational Resources Information Center

Turner, Judith; And Others

1986-01-01

Examined the ability of the Pain Assesment Index, determined from presurgery Minnesota Multiphasic Personality Inventory scores, to predict outcome subsequent to lumbar laminectomy and discectomy. The PAI was found to have good ability to identify patients who were doing well after surgery, but low power in predicting which patients would have…

Predictive model for survival in patients with gastric cancer.

PubMed

Goshayeshi, Ladan; Hoseini, Benyamin; Yousefli, Zahra; Khooie, Alireza; Etminani, Kobra; Esmaeilzadeh, Abbas; Golabpour, Amin

2017-12-01

Gastric cancer is one of the most prevalent cancers in the world. Characterized by poor prognosis, it is a frequent cause of cancer in Iran. The aim of the study was to design a predictive model of survival time for patients suffering from gastric cancer. This was a historical cohort conducted between 2011 and 2016. Study population were 277 patients suffering from gastric cancer. Data were gathered from the Iranian Cancer Registry and the laboratory of Emam Reza Hospital in Mashhad, Iran. Patients or their relatives underwent interviews where it was needed. Missing values were imputed by data mining techniques. Fifteen factors were analyzed. Survival was addressed as a dependent variable. Then, the predictive model was designed by combining both genetic algorithm and logistic regression. Matlab 2014 software was used to combine them. Of the 277 patients, only survival of 80 patients was available whose data were used for designing the predictive model. Mean ?SD of missing values for each patient was 4.43?.41 combined predictive model achieved 72.57% accuracy. Sex, birth year, age at diagnosis time, age at diagnosis time of patients' family, family history of gastric cancer, and family history of other gastrointestinal cancers were six parameters associated with patient survival. The study revealed that imputing missing values by data mining techniques have a good accuracy. And it also revealed six parameters extracted by genetic algorithm effect on the survival of patients with gastric cancer. Our combined predictive model, with a good accuracy, is appropriate to forecast the survival of patients suffering from Gastric cancer. So, we suggest policy makers and specialists to apply it for prediction of patients' survival.

What predicts performance during clinical psychology training?

PubMed Central

Scior, Katrina; Bradley, Caroline E; Potts, Henry W W; Woolf, Katherine; de C Williams, Amanda C

2014-01-01

Objectives While the question of who is likely to be selected for clinical psychology training has been studied, evidence on performance during training is scant. This study explored data from seven consecutive intakes of the UK's largest clinical psychology training course, aiming to identify what factors predict better or poorer outcomes. Design Longitudinal cross-sectional study using prospective and retrospective data. Method Characteristics at application were analysed in relation to a range of in-course assessments for 274 trainee clinical psychologists who had completed or were in the final stage of their training. Results Trainees were diverse in age, pre-training experience, and academic performance at A-level (advanced level certificate required for university admission), but not in gender or ethnicity. Failure rates across the three performance domains (academic, clinical, research) were very low, suggesting that selection was successful in screening out less suitable candidates. Key predictors of good performance on the course were better A-levels and better degree class. Non-white students performed less well on two outcomes. Type and extent of pre-training clinical experience on outcomes had varied effects on outcome. Research supervisor ratings emerged as global indicators and predicted nearly all outcomes, but may have been biased as they were retrospective. Referee ratings predicted only one of the seven outcomes examined, and interview ratings predicted none of the outcomes. Conclusions Predicting who will do well or poorly in clinical psychology training is complex. Interview and referee ratings may well be successful in screening out unsuitable candidates, but appear to be a poor guide to performance on the course. Practitioner points While referee and selection interview ratings did not predict performance during training, they may be useful in screening out unsuitable candidates at the application stage High school final academic performance

Toward link predictability of complex networks

PubMed Central

Lü, Linyuan; Pan, Liming; Zhou, Tao; Zhang, Yi-Cheng; Stanley, H. Eugene

2015-01-01

The organization of real networks usually embodies both regularities and irregularities, and, in principle, the former can be modeled. The extent to which the formation of a network can be explained coincides with our ability to predict missing links. To understand network organization, we should be able to estimate link predictability. We assume that the regularity of a network is reflected in the consistency of structural features before and after a random removal of a small set of links. Based on the perturbation of the adjacency matrix, we propose a universal structural consistency index that is free of prior knowledge of network organization. Extensive experiments on disparate real-world networks demonstrate that (i) structural consistency is a good estimation of link predictability and (ii) a derivative algorithm outperforms state-of-the-art link prediction methods in both accuracy and robustness. This analysis has further applications in evaluating link prediction algorithms and monitoring sudden changes in evolving network mechanisms. It will provide unique fundamental insights into the above-mentioned academic research fields, and will foster the development of advanced information filtering technologies of interest to information technology practitioners. PMID:25659742

19 CFR 10.451 - Originating goods.

Code of Federal Regulations, 2010 CFR

2010-04-01

... ARTICLES CONDITIONALLY FREE, SUBJECT TO A REDUCED RATE, ETC. United States-Chile Free Trade Agreement Rules of Origin § 10.451 Originating goods. A good imported into the customs territory of the United States...

31 CFR 560.306 - Iranian-origin goods or services; goods or services owned or controlled by the Government of Iran.

Code of Federal Regulations, 2013 CFR

2013-07-01

...; goods or services owned or controlled by the Government of Iran. 560.306 Section 560.306 Money and... Iranian-origin goods or services; goods or services owned or controlled by the Government of Iran. (a) The..., extracted, or processed in Iran; and (2) Goods which have entered into Iranian commerce. (b) The terms...

31 CFR 560.306 - Iranian-origin goods or services; goods or services owned or controlled by the Government of Iran.

Code of Federal Regulations, 2014 CFR

2014-07-01

...; goods or services owned or controlled by the Government of Iran. 560.306 Section 560.306 Money and... Iranian-origin goods or services; goods or services owned or controlled by the Government of Iran. (a) The..., extracted, or processed in Iran; and (2) Goods which have entered into Iranian commerce. (b) The terms...

Breeding racehorses: what price good genes?

PubMed

Wilson, Alastair J; Rambaut, Andrew

2008-04-23

Horse racing is a multi-million pound industry, in which genetic information is increasingly used to optimize breeding programmes. To maximize the probability of producing a successful offspring, the owner of a mare should mate her with a high-quality stallion. However, stallions with big reputations command higher stud fees and paying these is only a sensible strategy if, (i) there is a genetic variation for success on the racecourse and (ii) stud fees are an honest signal of a stallion's genetic quality. Using data on thoroughbred racehorses, and lifetime earnings from prize money (LE) as a measure of success, we performed quantitative genetic analyses within an animal model framework to test these two conditions. Although LE is heritable (VA=0.299+/-0.108, Pr=0.002), there is no genetic variance for stud fee and the genetic correlation between traits is therefore zero. This result is supported by an absence of any relationship between stud fees for currently active stallions and the predicted LE for their (hypothetical) offspring. Thus, while there are good genes to be bought, a stallion's fees are not an honest signal of his genetic quality and are a poor predictor of a foal's prize winning potential.

Delirium prediction in the intensive care unit: comparison of two delirium prediction models.

PubMed

Wassenaar, Annelies; Schoonhoven, Lisette; Devlin, John W; van Haren, Frank M P; Slooter, Arjen J C; Jorens, Philippe G; van der Jagt, Mathieu; Simons, Koen S; Egerod, Ingrid; Burry, Lisa D; Beishuizen, Albertus; Matos, Joaquim; Donders, A Rogier T; Pickkers, Peter; van den Boogaard, Mark

2018-05-05

Accurate prediction of delirium in the intensive care unit (ICU) may facilitate efficient use of early preventive strategies and stratification of ICU patients by delirium risk in clinical research, but the optimal delirium prediction model to use is unclear. We compared the predictive performance and user convenience of the prediction  model for delirium (PRE-DELIRIC) and early prediction model for delirium (E-PRE-DELIRIC) in ICU patients and determined the value of a two-stage calculation. This 7-country, 11-hospital, prospective cohort study evaluated consecutive adults admitted to the ICU who could be reliably assessed for delirium using the Confusion Assessment Method-ICU or the Intensive Care Delirium Screening Checklist. The predictive performance of the models was measured using the area under the receiver operating characteristic curve. Calibration was assessed graphically. A physician questionnaire evaluated user convenience. For the two-stage calculation we used E-PRE-DELIRIC immediately after ICU admission and updated the prediction using PRE-DELIRIC after 24 h. In total 2178 patients were included. The area under the receiver operating characteristic curve was significantly greater for PRE-DELIRIC (0.74 (95% confidence interval 0.71-0.76)) compared to E-PRE-DELIRIC (0.68 (95% confidence interval 0.66-0.71)) (z score of - 2.73 (p < 0.01)). Both models were well-calibrated. The sensitivity improved when using the two-stage calculation in low-risk patients. Compared to PRE-DELIRIC, ICU physicians (n = 68) rated the E-PRE-DELIRIC model more feasible. While both ICU delirium prediction models have moderate-to-good performance, the PRE-DELIRIC model predicts delirium better. However, ICU physicians rated the user convenience of E-PRE-DELIRIC superior to PRE-DELIRIC. In low-risk patients the delirium prediction further improves after an update with the PRE-DELIRIC model after 24 h. ClinicalTrials.gov, NCT02518646 . Registered on 21 July 2015.

Prediction of coefficients of thermal expansion for unidirectional composites

NASA Technical Reports Server (NTRS)

Bowles, David E.; Tompkins, Stephen S.

1989-01-01

Several analyses for predicting the longitudinal, alpha(1), and transverse, alpha(2), coefficients of thermal expansion of unidirectional composites were compared with each other, and with experimental data on different graphite fiber reinforced resin, metal, and ceramic matrix composites. Analytical and numerical analyses that accurately accounted for Poisson restraining effects in the transverse direction were in consistently better agreement with experimental data for alpha(2), than the less rigorous analyses. All of the analyses predicted similar values of alpha(1), and were in good agreement with the experimental data. A sensitivity analysis was conducted to determine the relative influence of constituent properties on the predicted values of alpha(1), and alpha(2). As would be expected, the prediction of alpha(1) was most sensitive to longitudinal fiber properties and the prediction of alpha(2) was most sensitive to matrix properties.

Revealing how network structure affects accuracy of link prediction

NASA Astrophysics Data System (ADS)

Yang, Jin-Xuan; Zhang, Xiao-Dong

2017-08-01

Link prediction plays an important role in network reconstruction and network evolution. The network structure affects the accuracy of link prediction, which is an interesting problem. In this paper we use common neighbors and the Gini coefficient to reveal the relation between them, which can provide a good reference for the choice of a suitable link prediction algorithm according to the network structure. Moreover, the statistical analysis reveals correlation between the common neighbors index, Gini coefficient index and other indices to describe the network structure, such as Laplacian eigenvalues, clustering coefficient, degree heterogeneity, and assortativity of network. Furthermore, a new method to predict missing links is proposed. The experimental results show that the proposed algorithm yields better prediction accuracy and robustness to the network structure than existing currently used methods for a variety of real-world networks.

Governing for the Common Good.

PubMed

Ruger, Jennifer Prah

2015-12-01

The proper object of global health governance (GHG) should be the common good, ensuring that all people have the opportunity to flourish. A well-organized global society that promotes the common good is to everyone's advantage. Enabling people to flourish includes enabling their ability to be healthy. Thus, we must assess health governance by its effectiveness in enhancing health capabilities. Current GHG fails to support human flourishing, diminishes health capabilities and thus does not serve the common good. The provincial globalism theory of health governance proposes a Global Health Constitution and an accompanying Global Institute of Health and Medicine that together propose to transform health governance. Multiple lines of empirical research suggest that these institutions would be effective, offering the most promising path to a healthier, more just world.

Absence of airway secretion accumulation predicts tolerance of noninvasive ventilation in subjects with amyotrophic lateral sclerosis.

PubMed

Vandenberghe, Nadia; Vallet, Anne-Evelyne; Petitjean, Thierry; Le Cam, Pierre; Peysson, Stéphane; Guérin, Claude; Dailler, Frédéric; Jay, Sylvie; Cadiergue, Vincent; Bouhour, Françoise; Court-Fortune, Isabelle; Camdessanche, Jean-Philippe; Antoine, Jean-Christophe; Philit, François; Beuret, Pascal; Bin-Dorel, Sylvie; Vial, Christophe; Broussolle, Emmanuel

2013-09-01

To assess factors that predict good tolerance of noninvasive ventilation (NIV), in order to improve survival and quality of life in subjects with amyotrophic lateral sclerosis. We conducted a prospective study in subjects with amyotrophic lateral sclerosis and requiring NIV. The primary end point was NIV tolerance at 1 month. Subjects, several of whom failed to complete the study, were classified as "tolerant" or "poorly tolerant," according to the number of hours of NIV use (more or less than 4 h per night, respectively). Eighty-one subjects, 73 of whom also attended the 1-month follow-up visit, participated over 34 months. NIV tolerance after the first day of utilization predicted tolerance at 1 month (77.6% and 75.3% of subjects, respectively). Multivariate analysis disclosed 3 factors predicting good NIV tolerance: absence of airway secretions accumulation prior to NIV onset (odds ratio 11.5); normal bulbar function at initiation of NIV (odds ratio 8.5); and older age (weakly significant, odds ratio 1.1). Our study reveals 3 factors that are predictive of good NIV tolerance, in particular the absence of airway secretion accumulation, which should prompt NIV initiation before its appearance.

Link prediction with node clustering coefficient

NASA Astrophysics Data System (ADS)

Wu, Zhihao; Lin, Youfang; Wang, Jing; Gregory, Steve

2016-06-01

Predicting missing links in incomplete complex networks efficiently and accurately is still a challenging problem. The recently proposed Cannistrai-Alanis-Ravai (CAR) index shows the power of local link/triangle information in improving link-prediction accuracy. Inspired by the idea of employing local link/triangle information, we propose a new similarity index with more local structure information. In our method, local link/triangle structure information can be conveyed by clustering coefficient of common-neighbors directly. The reason why clustering coefficient has good effectiveness in estimating the contribution of a common-neighbor is that it employs links existing between neighbors of a common-neighbor and these links have the same structural position with the candidate link to this common-neighbor. In our experiments, three estimators: precision, AUP and AUC are used to evaluate the accuracy of link prediction algorithms. Experimental results on ten tested networks drawn from various fields show that our new index is more effective in predicting missing links than CAR index, especially for networks with low correlation between number of common-neighbors and number of links between common-neighbors.

Good breastfeeding policies -- good breastfeeding rates.

PubMed

1998-01-01

In Norway, where breast-feeding policies protecting breast-feeding women's needs have been in place since the 1970s, approximately 97% of women breast feed when leaving the hospital, 80% are breast feeding at 3 months, and 20% beyond 12 months. Government family policies play an important role in enabling women to achieve good breast-feeding rates. In Norway: maternity leave is 42 weeks with full pay or 52 weeks with 80% of salary; flexible part-time is available for women from 2 months after giving birth with income supplemented from maternity benefits; after returning to work, women are entitled to 1- to 1.5-hour breaks to return home to breast feed, or to have the child brought to work. "Breast feeding is so normal," writes Hege Jacobson Lepri, "it's more embarrassing to bring out the feeding bottle in public." full text

Compressed sensing based missing nodes prediction in temporal communication network

NASA Astrophysics Data System (ADS)

Cheng, Guangquan; Ma, Yang; Liu, Zhong; Xie, Fuli

2018-02-01

The reconstruction of complex network topology is of great theoretical and practical significance. Most research so far focuses on the prediction of missing links. There are many mature algorithms for link prediction which have achieved good results, but research on the prediction of missing nodes has just begun. In this paper, we propose an algorithm for missing node prediction in complex networks. We detect the position of missing nodes based on their neighbor nodes under the theory of compressed sensing, and extend the algorithm to the case of multiple missing nodes using spectral clustering. Experiments on real public network datasets and simulated datasets show that our algorithm can detect the locations of hidden nodes effectively with high precision.

A good patient? How notions of 'a good patient' affect patient-nurse relationships and ART adherence in Zimbabwe.

PubMed

Campbell, Catherine; Scott, Kerry; Skovdal, Morten; Madanhire, Claudius; Nyamukapa, Constance; Gregson, Simon

2015-09-30

While patient-provider interactions are commonly understood as mutually constructed relationships, the role of patient behaviour, participation in interactions, and characteristics, particularly ideals surrounding notions of 'good' and 'bad' patients, are under-examined. This article examines social representations of 'a good patient' and how these representations affect patient-healthcare provider relationships and antiretroviral treatment (ART) for people living with HIV. Using thematic network analysis, we examined interview and focus group transcripts involving 25 healthcare staff, 48 ART users, and 31 carers of HIV positive children, as well as field notes from over 100 h of ethnographic observation at health centres in rural Zimbabwe. Characteristics of a good patient include obedience, patience, politeness, listening, enthusiasm for treatment, intelligence, physical cleanliness, honesty, gratitude and lifestyle adaptations (taking pills correctly and coming to the clinic when told). As healthcare workers may decide to punish patients who do not live up the 'good patient persona', many patients seek to perform within the confines of the 'good patient persona' to access good care and ensure continued access to ART. The notion of a 'good ART patient' can have positive effects on patient health outcomes. It is one of the only arenas of the clinic experience that ART patients can influence in their favour. However, for people not conforming to the norms of the 'good patient persona', the productive and health-enabling patient-nurse relationship may break down and be detrimental to the patient. We conclude that policy makers need to take heed of the social representations that govern patient-nurse relationships and their role in facilitating or undermining ART adherence.

Predicting links based on knowledge dissemination in complex network

NASA Astrophysics Data System (ADS)

Zhou, Wen; Jia, Yifan

2017-04-01

Link prediction is the task of mining the missing links in networks or predicting the next vertex pair to be connected by a link. A lot of link prediction methods were inspired by evolutionary processes of networks. In this paper, a new mechanism for the formation of complex networks called knowledge dissemination (KD) is proposed with the assumption of knowledge disseminating through the paths of a network. Accordingly, a new link prediction method-knowledge dissemination based link prediction (KDLP)-is proposed to test KD. KDLP characterizes vertex similarity based on knowledge quantity (KQ) which measures the importance of a vertex through H-index. Extensive numerical simulations on six real-world networks demonstrate that KDLP is a strong link prediction method which performs at a higher prediction accuracy than four well-known similarity measures including common neighbors, local path index, average commute time and matrix forest index. Furthermore, based on the common conclusion that an excellent link prediction method reveals a good evolving mechanism, the experiment results suggest that KD is a considerable network evolving mechanism for the formation of complex networks.

Incorporating uncertainty in predictive species distribution modelling.

PubMed

Beale, Colin M; Lennon, Jack J

2012-01-19

Motivated by the need to solve ecological problems (climate change, habitat fragmentation and biological invasions), there has been increasing interest in species distribution models (SDMs). Predictions from these models inform conservation policy, invasive species management and disease-control measures. However, predictions are subject to uncertainty, the degree and source of which is often unrecognized. Here, we review the SDM literature in the context of uncertainty, focusing on three main classes of SDM: niche-based models, demographic models and process-based models. We identify sources of uncertainty for each class and discuss how uncertainty can be minimized or included in the modelling process to give realistic measures of confidence around predictions. Because this has typically not been performed, we conclude that uncertainty in SDMs has often been underestimated and a false precision assigned to predictions of geographical distribution. We identify areas where development of new statistical tools will improve predictions from distribution models, notably the development of hierarchical models that link different types of distribution model and their attendant uncertainties across spatial scales. Finally, we discuss the need to develop more defensible methods for assessing predictive performance, quantifying model goodness-of-fit and for assessing the significance of model covariates.

Common carotid artery intima-media thickness is as good as carotid intima-media thickness of all carotid artery segments in improving prediction of coronary heart disease risk in the Atherosclerosis Risk in Communities (ARIC) study.

PubMed

Nambi, Vijay; Chambless, Lloyd; He, Max; Folsom, Aaron R; Mosley, Tom; Boerwinkle, Eric; Ballantyne, Christie M

2012-01-01

Carotid intima-media thickness (CIMT) and plaque information can improve coronary heart disease (CHD) risk prediction when added to traditional risk factors (TRF). However, obtaining adequate images of all carotid artery segments (A-CIMT) may be difficult. Of A-CIMT, the common carotid artery intima-media thickness (CCA-IMT) is relatively more reliable and easier to measure. We evaluated whether CCA-IMT is comparable to A-CIMT when added to TRF and plaque information in improving CHD risk prediction in the Atherosclerosis Risk in Communities (ARIC) study. Ten-year CHD risk prediction models using TRF alone, TRF + A-CIMT + plaque, and TRF + CCA-IMT + plaque were developed for the overall cohort, men, and women. The area under the receiver operator characteristic curve (AUC), per cent individuals reclassified, net reclassification index (NRI), and model calibration by the Grønnesby-Borgan test were estimated. There were 1722 incident CHD events in 12 576 individuals over a mean follow-up of 15.2 years. The AUC for TRF only, TRF + A-CIMT + plaque, and TRF + CCA-IMT + plaque models were 0.741, 0.754, and 0.753, respectively. Although there was some discordance when the CCA-IMT + plaque- and A-CIMT + plaque-based risk estimation was compared, the NRI and clinical NRI (NRI in the intermediate-risk group) when comparing the CIMT models with TRF-only model, per cent reclassified, and test for model calibration were not significantly different. Coronary heart disease risk prediction can be improved by adding A-CIMT + plaque or CCA-IMT + plaque information to TRF. Therefore, evaluating the carotid artery for plaque presence and measuring CCA-IMT, which is easier and more reliable than measuring A-CIMT, provide a good alternative to measuring A-CIMT for CHD risk prediction.

12 CFR 1081.108 - Good faith certification.

Code of Federal Regulations, 2014 CFR

2014-01-01

... 12 Banks and Banking 9 2014-01-01 2014-01-01 false Good faith certification. 1081.108 Section 1081... PROCEEDINGS General Rules § 1081.108 Good faith certification. (a) General requirement. Every filing or... is warranted by existing law or a good faith argument for the extension, modification, or reversal of...

12 CFR 1081.108 - Good faith certification.

Code of Federal Regulations, 2012 CFR

2012-01-01

... 12 Banks and Banking 8 2012-01-01 2012-01-01 false Good faith certification. 1081.108 Section 1081... PROCEEDINGS General Rules § 1081.108 Good faith certification. (a) General requirement. Every filing or... is warranted by existing law or a good faith argument for the extension, modification, or reversal of...

12 CFR 1209.13 - Good faith certification.

Code of Federal Regulations, 2013 CFR

2013-01-01

... 12 Banks and Banking 9 2013-01-01 2013-01-01 false Good faith certification. 1209.13 Section 1209... PROCEDURE Rules of Practice and Procedure § 1209.13 Good faith certification. (a) General requirement. Every... warranted by existing law or a good faith, non-frivolous argument for the extension, modification, or...

12 CFR 1209.13 - Good faith certification.

Code of Federal Regulations, 2014 CFR

2014-01-01

... 12 Banks and Banking 10 2014-01-01 2014-01-01 false Good faith certification. 1209.13 Section 1209... PROCEDURE Rules of Practice and Procedure § 1209.13 Good faith certification. (a) General requirement. Every... warranted by existing law or a good faith, non-frivolous argument for the extension, modification, or...

12 CFR 1081.108 - Good faith certification.

Code of Federal Regulations, 2013 CFR

2013-01-01

... 12 Banks and Banking 8 2013-01-01 2013-01-01 false Good faith certification. 1081.108 Section 1081... PROCEEDINGS General Rules § 1081.108 Good faith certification. (a) General requirement. Every filing or... is warranted by existing law or a good faith argument for the extension, modification, or reversal of...

12 CFR 1209.13 - Good faith certification.

Code of Federal Regulations, 2012 CFR

2012-01-01

... 12 Banks and Banking 9 2012-01-01 2012-01-01 false Good faith certification. 1209.13 Section 1209... PROCEDURE Rules of Practice and Procedure § 1209.13 Good faith certification. (a) General requirement. Every... warranted by existing law or a good faith, non-frivolous argument for the extension, modification, or...

7 CFR 51.485 - Good internal quality.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 7 Agriculture 2 2010-01-01 2010-01-01 false Good internal quality. 51.485 Section 51.485... STANDARDS) United States Standards for Grades of Cantaloups 1 Definitions § 51.485 Good internal quality. Good internal quality means that the combined juice from the edible portion of a sample of cantaloups...

7 CFR 51.605 - Good heart formation.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 7 Agriculture 2 2010-01-01 2010-01-01 false Good heart formation. 51.605 Section 51.605... STANDARDS) United States Consumer Standards for Celery Stalks Definitions § 51.605 Good heart formation. Good heart formation means that the stalk has a reasonable number of stocky inner heart branches for...

7 CFR 51.1011 - Good green color.

Code of Federal Regulations, 2014 CFR

2014-01-01

... green color. Good green color means that the skin of the lime is of a good green color characteristic of... 7 Agriculture 2 2014-01-01 2014-01-01 false Good green color. 51.1011 Section 51.1011 Agriculture Regulations of the Department of Agriculture AGRICULTURAL MARKETING SERVICE (Standards, Inspections, Marketing...

7 CFR 51.1011 - Good green color.

Code of Federal Regulations, 2013 CFR

2013-01-01

... green color. Good green color means that the skin of the lime is of a good green color characteristic of... 7 Agriculture 2 2013-01-01 2013-01-01 false Good green color. 51.1011 Section 51.1011 Agriculture Regulations of the Department of Agriculture AGRICULTURAL MARKETING SERVICE (Standards, Inspections, Marketing...

7 CFR 51.605 - Good heart formation.

Code of Federal Regulations, 2012 CFR

2012-01-01

... 7 Agriculture 2 2012-01-01 2012-01-01 false Good heart formation. 51.605 Section 51.605... STANDARDS) United States Consumer Standards for Celery Stalks Definitions § 51.605 Good heart formation. Good heart formation means that the stalk has a reasonable number of stocky inner heart branches for...

7 CFR 51.605 - Good heart formation.

Code of Federal Regulations, 2011 CFR

2011-01-01

... 7 Agriculture 2 2011-01-01 2011-01-01 false Good heart formation. 51.605 Section 51.605... STANDARDS) United States Consumer Standards for Celery Stalks Definitions § 51.605 Good heart formation. Good heart formation means that the stalk has a reasonable number of stocky inner heart branches for...

A novel method for structure-based prediction of ion channel conductance properties.

PubMed Central

Smart, O S; Breed, J; Smith, G R; Sansom, M S

1997-01-01

A rapid and easy-to-use method of predicting the conductance of an ion channel from its three-dimensional structure is presented. The method combines the pore dimensions of the channel as measured in the HOLE program with an Ohmic model of conductance. An empirically based correction factor is then applied. The method yielded good results for six experimental channel structures (none of which were included in the training set) with predictions accurate to within an average factor of 1.62 to the true values. The predictive r2 was equal to 0.90, which is indicative of a good predictive ability. The procedure is used to validate model structures of alamethicin and phospholamban. Two genuine predictions for the conductance of channels with known structure but without reported conductances are given. A modification of the procedure that calculates the expected results for the effect of the addition of nonelectrolyte polymers on conductance is set out. Results for a cholera toxin B-subunit crystal structure agree well with the measured values. The difficulty in interpreting such studies is discussed, with the conclusion that measurements on channels of known structure are required. Images FIGURE 1 FIGURE 3 FIGURE 4 FIGURE 6 FIGURE 10 PMID:9138559

Predictive power of the grace score in population with diabetes.

PubMed

Baeza-Román, Anna; de Miguel-Balsa, Eva; Latour-Pérez, Jaime; Carrillo-López, Andrés

2017-12-01

Current clinical practice guidelines recommend risk stratification in patients with acute coronary syndrome (ACS) upon admission to hospital. Diabetes mellitus (DM) is widely recognized as an independent predictor of mortality in these patients, although it is not included in the GRACE risk score. The objective of this study is to validate the GRACE risk score in a contemporary population and particularly in the subgroup of patients with diabetes, and to test the effects of including the DM variable in the model. Retrospective cohort study in patients included in the ARIAM-SEMICYUC registry, with a diagnosis of ACS and with available in-hospital mortality data. We tested the predictive power of the GRACE score, calculating the area under the ROC curve. We assessed the calibration of the score and the predictive ability based on type of ACS and the presence of DM. Finally, we evaluated the effect of including the DM variable in the model by calculating the net reclassification improvement. The GRACE score shows good predictive power for hospital mortality in the study population, with a moderate degree of calibration and no significant differences based on ACS type or the presence of DM. Including DM as a variable did not add any predictive value to the GRACE model. The GRACE score has an appropriate predictive power, with good calibration and clinical applicability in the subgroup of diabetic patients. Copyright © 2017 Elsevier Ireland Ltd. All rights reserved.

Novel and conventional serum biomarkers predicting acute kidney injury in adult cardiac surgery--a prospective cohort study.

PubMed

Haase-Fielitz, Anja; Bellomo, Rinaldo; Devarajan, Prasad; Story, David; Matalanis, George; Dragun, Duska; Haase, Michael

2009-02-01

To compare the value of novel with conventional serum biomarkers in the prediction of acute kidney injury (AKI) in adult cardiac surgical patients according to preoperative renal function. Single-center, prospective observational study. Tertiary hospital. One hundred adult cardiac surgical patients. We measured concentrations of plasma neutrophil gelatinase-associated lipocalin (NGAL), and serum cystatin C, and creatinine and urea at baseline, on arrival in the intensive care unit (ICU) and at 24 hours postoperatively. We assessed such biomarkers in relation to the development of AKI (>50% increase in creatinine from baseline) and to a composite end point (need for renal replacement therapy and in-hospital mortality). We defined an area under the receiver operating characteristic curve of 0.60-0.69 as poor, 0.70-0.79 as fair, 0.80-0.89 as good, and 0.90-1.00 as excellent in terms of predictive value. On arrival in ICU, plasma NGAL and serum cystatin C were of good predictive value, but creatinine and urea were of poor predictive value. After exclusion of patients with preoperative renal impairment (estimated glomerular filtration rate <60 mL/min), the predictive performance for AKI of all renal biomarkers on arrival in ICU remained unchanged except for cystatin C, which was of fair value in such patients. At 24 hours postoperatively, all renal biomarkers were of good predictive value. On arrival in ICU, novel biomarkers were superior to conventional biomarkers (p < 0.05). Plasma NGAL (p = 0.015) and serum cystatin C (p = 0.007) were independent predictors of AKI and of excellent value in the prediction of the composite end point. Early postoperative measurement of plasma NGAL was of good value in identifying patients who developed AKI after adult cardiac surgery. Plasma NGAL and serum cystatin C were superior to conventional biomarkers in the prediction of AKI and were also of prognostic value in this setting.

12 CFR 19.7 - Good faith certification.

Code of Federal Regulations, 2011 CFR

2011-01-01

... 12 Banks and Banking 1 2011-01-01 2011-01-01 false Good faith certification. 19.7 Section 19.7... PROCEDURE Uniform Rules of Practice and Procedure § 19.7 Good faith certification. (a) General requirement... warranted by existing law or a good faith argument for the extension, modification, or reversal of existing...

12 CFR 509.7 - Good faith certification.

Code of Federal Regulations, 2011 CFR

2011-01-01

... 12 Banks and Banking 5 2011-01-01 2011-01-01 false Good faith certification. 509.7 Section 509.7... PROCEDURE IN ADJUDICATORY PROCEEDINGS Uniform Rules of Practice and Procedure § 509.7 Good faith... in fact and is warranted by existing law or a good faith argument for the extension, modification, or...

12 CFR 747.7 - Good faith certification.

Code of Federal Regulations, 2013 CFR

2013-01-01

... 12 Banks and Banking 7 2013-01-01 2013-01-01 false Good faith certification. 747.7 Section 747.7... of Practice and Procedure § 747.7 Good faith certification. (a) General requirement. Every filing or... good faith argument for the extension, modification, or reversal of existing law; and the filing or...

12 CFR 109.7 - Good faith certification.

Code of Federal Regulations, 2012 CFR

2012-01-01

... 12 Banks and Banking 1 2012-01-01 2012-01-01 false Good faith certification. 109.7 Section 109.7... PROCEDURE IN ADJUDICATORY PROCEEDINGS Uniform Rules of Practice and Procedure § 109.7 Good faith... in fact and is warranted by existing law or a good faith argument for the extension, modification, or...

12 CFR 509.7 - Good faith certification.

Code of Federal Regulations, 2012 CFR

2012-01-01

... 12 Banks and Banking 6 2012-01-01 2012-01-01 false Good faith certification. 509.7 Section 509.7... PROCEDURE IN ADJUDICATORY PROCEEDINGS Uniform Rules of Practice and Procedure § 509.7 Good faith... in fact and is warranted by existing law or a good faith argument for the extension, modification, or...

12 CFR 509.7 - Good faith certification.

Code of Federal Regulations, 2014 CFR

2014-01-01

... 12 Banks and Banking 6 2014-01-01 2012-01-01 true Good faith certification. 509.7 Section 509.7... PROCEDURE IN ADJUDICATORY PROCEEDINGS Uniform Rules of Practice and Procedure § 509.7 Good faith... in fact and is warranted by existing law or a good faith argument for the extension, modification, or...

12 CFR 19.7 - Good faith certification.

Code of Federal Regulations, 2013 CFR

2013-01-01

... 12 Banks and Banking 1 2013-01-01 2013-01-01 false Good faith certification. 19.7 Section 19.7... PROCEDURE Uniform Rules of Practice and Procedure § 19.7 Good faith certification. (a) General requirement... warranted by existing law or a good faith argument for the extension, modification, or reversal of existing...

12 CFR 509.7 - Good faith certification.

Code of Federal Regulations, 2013 CFR

2013-01-01

... 12 Banks and Banking 6 2013-01-01 2012-01-01 true Good faith certification. 509.7 Section 509.7... PROCEDURE IN ADJUDICATORY PROCEEDINGS Uniform Rules of Practice and Procedure § 509.7 Good faith... in fact and is warranted by existing law or a good faith argument for the extension, modification, or...

12 CFR 19.7 - Good faith certification.

Code of Federal Regulations, 2012 CFR

2012-01-01

... 12 Banks and Banking 1 2012-01-01 2012-01-01 false Good faith certification. 19.7 Section 19.7... PROCEDURE Uniform Rules of Practice and Procedure § 19.7 Good faith certification. (a) General requirement... warranted by existing law or a good faith argument for the extension, modification, or reversal of existing...

12 CFR 747.7 - Good faith certification.

Code of Federal Regulations, 2014 CFR

2014-01-01

... 12 Banks and Banking 7 2014-01-01 2014-01-01 false Good faith certification. 747.7 Section 747.7... of Practice and Procedure § 747.7 Good faith certification. (a) General requirement. Every filing or... good faith argument for the extension, modification, or reversal of existing law; and the filing or...

12 CFR 109.7 - Good faith certification.

Code of Federal Regulations, 2013 CFR

2013-01-01

... 12 Banks and Banking 1 2013-01-01 2013-01-01 false Good faith certification. 109.7 Section 109.7... PROCEDURE IN ADJUDICATORY PROCEEDINGS Uniform Rules of Practice and Procedure § 109.7 Good faith... in fact and is warranted by existing law or a good faith argument for the extension, modification, or...

12 CFR 747.7 - Good faith certification.

Code of Federal Regulations, 2012 CFR

2012-01-01

... 12 Banks and Banking 7 2012-01-01 2012-01-01 false Good faith certification. 747.7 Section 747.7... of Practice and Procedure § 747.7 Good faith certification. (a) General requirement. Every filing or... good faith argument for the extension, modification, or reversal of existing law; and the filing or...

12 CFR 19.7 - Good faith certification.

Code of Federal Regulations, 2014 CFR

2014-01-01

... 12 Banks and Banking 1 2014-01-01 2014-01-01 false Good faith certification. 19.7 Section 19.7... PROCEDURE Uniform Rules of Practice and Procedure § 19.7 Good faith certification. (a) General requirement... warranted by existing law or a good faith argument for the extension, modification, or reversal of existing...

12 CFR 747.7 - Good faith certification.

Code of Federal Regulations, 2011 CFR

2011-01-01

... 12 Banks and Banking 6 2011-01-01 2011-01-01 false Good faith certification. 747.7 Section 747.7... of Practice and Procedure § 747.7 Good faith certification. (a) General requirement. Every filing or... good faith argument for the extension, modification, or reversal of existing law; and the filing or...

12 CFR 109.7 - Good faith certification.

Code of Federal Regulations, 2014 CFR

2014-01-01

... 12 Banks and Banking 1 2014-01-01 2014-01-01 false Good faith certification. 109.7 Section 109.7... PROCEDURE IN ADJUDICATORY PROCEEDINGS Uniform Rules of Practice and Procedure § 109.7 Good faith... in fact and is warranted by existing law or a good faith argument for the extension, modification, or...

12 CFR 747.7 - Good faith certification.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 12 Banks and Banking 6 2010-01-01 2010-01-01 false Good faith certification. 747.7 Section 747.7... of Practice and Procedure § 747.7 Good faith certification. (a) General requirement. Every filing or... good faith argument for the extension, modification, or reversal of existing law; and the filing or...

12 CFR 19.7 - Good faith certification.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 12 Banks and Banking 1 2010-01-01 2010-01-01 false Good faith certification. 19.7 Section 19.7... PROCEDURE Uniform Rules of Practice and Procedure § 19.7 Good faith certification. (a) General requirement... warranted by existing law or a good faith argument for the extension, modification, or reversal of existing...

12 CFR 509.7 - Good faith certification.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 12 Banks and Banking 5 2010-01-01 2010-01-01 false Good faith certification. 509.7 Section 509.7... PROCEDURE IN ADJUDICATORY PROCEEDINGS Uniform Rules of Practice and Procedure § 509.7 Good faith... in fact and is warranted by existing law or a good faith argument for the extension, modification, or...

Cooperative investment in public goods is kin directed in communal nests of social birds

PubMed Central

van Dijk, René E; Kaden, Jennifer C; Argüelles-Ticó, Araceli; Dawson, Deborah A; Burke, Terry; Hatchwell, Ben J

2014-01-01

The tragedy of the commons predicts social collapse when public goods are jointly exploited by individuals attempting to maximize their fitness at the expense of other social group members. However, animal societies have evolved many times despite this vulnerability to exploitation by selfish individuals. Kin selection offers a solution to this social dilemma, but in large social groups mean relatedness is often low. Sociable weavers (Philetairus socius) live in large colonies that share the benefits of a massive communal nest, which requires individual investment for construction and maintenance. Here, we show that despite low mean kinship within colonies, relatives are spatially and socially clustered and that nest-building males have higher local relatedness to other colony members than do non-building males. Alternative hypotheses received little support, so we conclude that the benefits of the public good are shared with kin and that cooperative investment is, despite the large size and low relatedness of these communities, kin directed. PMID:25039999

12 CFR 308.7 - Good faith certification.

Code of Federal Regulations, 2014 CFR

2014-01-01

... 12 Banks and Banking 5 2014-01-01 2014-01-01 false Good faith certification. 308.7 Section 308.7... PRACTICE AND PROCEDURE Uniform Rules of Practice and Procedure § 308.7 Good faith certification. (a... in fact and is warranted by existing law or a good faith argument for the extension, modification, or...

12 CFR 263.7 - Good faith certification.

Code of Federal Regulations, 2014 CFR

2014-01-01

... 12 Banks and Banking 4 2014-01-01 2014-01-01 false Good faith certification. 263.7 Section 263.7... (CONTINUED) RULES OF PRACTICE FOR HEARINGS Uniform Rules of Practice and Procedure § 263.7 Good faith... in fact and is warranted by existing law or a good faith argument for the extension, modification, or...

12 CFR 263.7 - Good faith certification.

Code of Federal Regulations, 2011 CFR

2011-01-01

... 12 Banks and Banking 3 2011-01-01 2011-01-01 false Good faith certification. 263.7 Section 263.7... RULES OF PRACTICE FOR HEARINGS Uniform Rules of Practice and Procedure § 263.7 Good faith certification... in fact and is warranted by existing law or a good faith argument for the extension, modification, or...

12 CFR 263.7 - Good faith certification.

Code of Federal Regulations, 2013 CFR

2013-01-01

... 12 Banks and Banking 4 2013-01-01 2013-01-01 false Good faith certification. 263.7 Section 263.7... (CONTINUED) RULES OF PRACTICE FOR HEARINGS Uniform Rules of Practice and Procedure § 263.7 Good faith... in fact and is warranted by existing law or a good faith argument for the extension, modification, or...

12 CFR 308.7 - Good faith certification.

Code of Federal Regulations, 2012 CFR

2012-01-01

... 12 Banks and Banking 5 2012-01-01 2012-01-01 false Good faith certification. 308.7 Section 308.7... PRACTICE AND PROCEDURE Uniform Rules of Practice and Procedure § 308.7 Good faith certification. (a... in fact and is warranted by existing law or a good faith argument for the extension, modification, or...

12 CFR 263.7 - Good faith certification.

Code of Federal Regulations, 2012 CFR

2012-01-01

... 12 Banks and Banking 4 2012-01-01 2012-01-01 false Good faith certification. 263.7 Section 263.7... (CONTINUED) RULES OF PRACTICE FOR HEARINGS Uniform Rules of Practice and Procedure § 263.7 Good faith... in fact and is warranted by existing law or a good faith argument for the extension, modification, or...

12 CFR 308.7 - Good faith certification.

Code of Federal Regulations, 2013 CFR

2013-01-01

... 12 Banks and Banking 5 2013-01-01 2013-01-01 false Good faith certification. 308.7 Section 308.7... PRACTICE AND PROCEDURE Uniform Rules of Practice and Procedure § 308.7 Good faith certification. (a... in fact and is warranted by existing law or a good faith argument for the extension, modification, or...

12 CFR 308.7 - Good faith certification.

Code of Federal Regulations, 2011 CFR

2011-01-01

... 12 Banks and Banking 4 2011-01-01 2011-01-01 false Good faith certification. 308.7 Section 308.7... PRACTICE AND PROCEDURE Uniform Rules of Practice and Procedure § 308.7 Good faith certification. (a... in fact and is warranted by existing law or a good faith argument for the extension, modification, or...

12 CFR 308.7 - Good faith certification.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 12 Banks and Banking 4 2010-01-01 2010-01-01 false Good faith certification. 308.7 Section 308.7... PRACTICE AND PROCEDURE Uniform Rules of Practice and Procedure § 308.7 Good faith certification. (a... in fact and is warranted by existing law or a good faith argument for the extension, modification, or...

12 CFR 263.7 - Good faith certification.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 12 Banks and Banking 3 2010-01-01 2010-01-01 false Good faith certification. 263.7 Section 263.7... RULES OF PRACTICE FOR HEARINGS Uniform Rules of Practice and Procedure § 263.7 Good faith certification... in fact and is warranted by existing law or a good faith argument for the extension, modification, or...

7 CFR 28.407 - Good Ordinary Color.

Code of Federal Regulations, 2014 CFR

2014-01-01

... 7 Agriculture 2 2014-01-01 2014-01-01 false Good Ordinary Color. 28.407 Section 28.407 Agriculture..., TESTING, AND STANDARDS Standards Official Cotton Standards of the United States for the Color Grade of American Upland Cotton § 28.407 Good Ordinary Color. Good Ordinary Color is color which is within the range...

7 CFR 28.407 - Good Ordinary Color.

Code of Federal Regulations, 2011 CFR

2011-01-01

... 7 Agriculture 2 2011-01-01 2011-01-01 false Good Ordinary Color. 28.407 Section 28.407 Agriculture..., TESTING, AND STANDARDS Standards Official Cotton Standards of the United States for the Color Grade of American Upland Cotton § 28.407 Good Ordinary Color. Good Ordinary Color is color which is within the range...

7 CFR 28.407 - Good Ordinary Color.

Code of Federal Regulations, 2013 CFR

2013-01-01

... 7 Agriculture 2 2013-01-01 2013-01-01 false Good Ordinary Color. 28.407 Section 28.407 Agriculture..., TESTING, AND STANDARDS Standards Official Cotton Standards of the United States for the Color Grade of American Upland Cotton § 28.407 Good Ordinary Color. Good Ordinary Color is color which is within the range...

7 CFR 28.407 - Good Ordinary Color.

Code of Federal Regulations, 2012 CFR

2012-01-01

... 7 Agriculture 2 2012-01-01 2012-01-01 false Good Ordinary Color. 28.407 Section 28.407 Agriculture..., TESTING, AND STANDARDS Standards Official Cotton Standards of the United States for the Color Grade of American Upland Cotton § 28.407 Good Ordinary Color. Good Ordinary Color is color which is within the range...

7 CFR 28.401 - Good Middling Color.

Code of Federal Regulations, 2014 CFR

2014-01-01

... 7 Agriculture 2 2014-01-01 2014-01-01 false Good Middling Color. 28.401 Section 28.401 Agriculture..., TESTING, AND STANDARDS Standards Official Cotton Standards of the United States for the Color Grade of American Upland Cotton § 28.401 Good Middling Color. Good Middling Color is color which is within the range...

7 CFR 28.401 - Good Middling Color.

Code of Federal Regulations, 2013 CFR

2013-01-01

... 7 Agriculture 2 2013-01-01 2013-01-01 false Good Middling Color. 28.401 Section 28.401 Agriculture..., TESTING, AND STANDARDS Standards Official Cotton Standards of the United States for the Color Grade of American Upland Cotton § 28.401 Good Middling Color. Good Middling Color is color which is within the range...

7 CFR 28.401 - Good Middling Color.

Code of Federal Regulations, 2011 CFR

2011-01-01

... 7 Agriculture 2 2011-01-01 2011-01-01 false Good Middling Color. 28.401 Section 28.401 Agriculture..., TESTING, AND STANDARDS Standards Official Cotton Standards of the United States for the Color Grade of American Upland Cotton § 28.401 Good Middling Color. Good Middling Color is color which is within the range...

7 CFR 28.401 - Good Middling Color.

Code of Federal Regulations, 2012 CFR

2012-01-01

... 7 Agriculture 2 2012-01-01 2012-01-01 false Good Middling Color. 28.401 Section 28.401 Agriculture..., TESTING, AND STANDARDS Standards Official Cotton Standards of the United States for the Color Grade of American Upland Cotton § 28.401 Good Middling Color. Good Middling Color is color which is within the range...

7 CFR 28.401 - Good Middling Color.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 7 Agriculture 2 2010-01-01 2010-01-01 false Good Middling Color. 28.401 Section 28.401 Agriculture..., TESTING, AND STANDARDS Standards Official Cotton Standards of the United States for the Color Grade of American Upland Cotton § 28.401 Good Middling Color. Good Middling Color is color which is within the range...

7 CFR 28.407 - Good Ordinary Color.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 7 Agriculture 2 2010-01-01 2010-01-01 false Good Ordinary Color. 28.407 Section 28.407 Agriculture..., TESTING, AND STANDARDS Standards Official Cotton Standards of the United States for the Color Grade of American Upland Cotton § 28.407 Good Ordinary Color. Good Ordinary Color is color which is within the range...

12 CFR 390.36 - Good faith certification.

Code of Federal Regulations, 2014 CFR

2014-01-01

... 12 Banks and Banking 5 2014-01-01 2014-01-01 false Good faith certification. 390.36 Section 390.36... Proceedings § 390.36 Good faith certification. (a) General requirement. Every filing or submission of record... filing or submission of record is well-grounded in fact and is warranted by existing law or a good faith...

12 CFR 1780.7 - Good faith certification.

Code of Federal Regulations, 2011 CFR

2011-01-01

... 12 Banks and Banking 7 2011-01-01 2011-01-01 false Good faith certification. 1780.7 Section 1780.7... DEVELOPMENT RULES OF PRACTICE AND PROCEDURE RULES OF PRACTICE AND PROCEDURE General Rules § 1780.7 Good faith... record is well-grounded in fact and is warranted by existing law or a good faith, nonfrivolous argument...

12 CFR 390.36 - Good faith certification.

Code of Federal Regulations, 2012 CFR

2012-01-01

... 12 Banks and Banking 5 2012-01-01 2012-01-01 false Good faith certification. 390.36 Section 390.36... Proceedings § 390.36 Good faith certification. (a) General requirement. Every filing or submission of record... filing or submission of record is well-grounded in fact and is warranted by existing law or a good faith...

12 CFR 1024.7 - Good faith estimate.

Code of Federal Regulations, 2014 CFR

2014-01-01

... 12 Banks and Banking 8 2014-01-01 2014-01-01 false Good faith estimate. 1024.7 Section 1024.7... (REGULATION X) Mortgage Settlement and Escrow Accounts § 1024.7 Good faith estimate. (a) Lender to provide. (1..., 2014. For the convenience of the user, the revised text is set forth as follows: § 1024.7 Good faith...

12 CFR 390.36 - Good faith certification.

Code of Federal Regulations, 2013 CFR

2013-01-01

... 12 Banks and Banking 5 2013-01-01 2013-01-01 false Good faith certification. 390.36 Section 390.36... Proceedings § 390.36 Good faith certification. (a) General requirement. Every filing or submission of record... filing or submission of record is well-grounded in fact and is warranted by existing law or a good faith...

12 CFR 908.23 - Good faith certification.

Code of Federal Regulations, 2011 CFR

2011-01-01

... 12 Banks and Banking 7 2011-01-01 2011-01-01 false Good faith certification. 908.23 Section 908.23... OPERATIONS RULES OF PRACTICE AND PROCEDURE IN HEARINGS ON THE RECORD General Rules § 908.23 Good faith... filing or submission of record is well-grounded in fact and is warranted by existing law or a good faith...

12 CFR 908.23 - Good faith certification.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 12 Banks and Banking 7 2010-01-01 2010-01-01 false Good faith certification. 908.23 Section 908.23... OPERATIONS RULES OF PRACTICE AND PROCEDURE IN HEARINGS ON THE RECORD General Rules § 908.23 Good faith... filing or submission of record is well-grounded in fact and is warranted by existing law or a good faith...

12 CFR 1780.7 - Good faith certification.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 12 Banks and Banking 7 2010-01-01 2010-01-01 false Good faith certification. 1780.7 Section 1780.7... DEVELOPMENT RULES OF PRACTICE AND PROCEDURE RULES OF PRACTICE AND PROCEDURE General Rules § 1780.7 Good faith... record is well-grounded in fact and is warranted by existing law or a good faith, nonfrivolous argument...

Good during EVA 3

NASA Image and Video Library

2010-05-21

ISS023-E-047827 (21 May 2010) --- NASA astronaut Michael Good, STS-132 mission specialist, participates in the mission?s third and final session of extravehicular activity (EVA) as construction and maintenance continue on the International Space Station. During the six-hour, 46-minute spacewalk, Good and NASA astronaut Garrett Reisman (out of frame), mission specialist, completed the installation of the final two of the six new batteries for the B side of the port 6 solar array. In addition, the astronauts installed a backup ammonia jumper cable between the port 4 and 5 trusses of the station, transferred a Power and Data Grapple Fixture from the shuttle to the station, and reconfigured some tools.

Good during EVA 3

NASA Image and Video Library

2010-05-21

ISS023-E-047864 (21 May 2010) --- NASA astronaut Michael Good, STS-132 mission specialist, participates in the mission?s third and final session of extravehicular activity (EVA) as construction and maintenance continue on the International Space Station. During the six-hour, 46-minute spacewalk, Good and NASA astronaut Garrett Reisman (out of frame), mission specialist, completed the installation of the final two of the six new batteries for the B side of the port 6 solar array. In addition, the astronauts installed a backup ammonia jumper cable between the port 4 and 5 trusses of the station, transferred a Power and Data Grapple Fixture from the shuttle to the station, and reconfigured some tools.

Good during EVA 3

NASA Image and Video Library

2010-05-21

ISS023-E-047845 (21 May 2010) --- NASA astronaut Michael Good, STS-132 mission specialist, participates in the mission?s third and final session of extravehicular activity (EVA) as construction and maintenance continue on the International Space Station. During the six-hour, 46-minute spacewalk, Good and NASA astronaut Garrett Reisman (out of frame), mission specialist, completed the installation of the final two of the six new batteries for the B side of the port 6 solar array. In addition, the astronauts installed a backup ammonia jumper cable between the port 4 and 5 trusses of the station, transferred a Power and Data Grapple Fixture from the shuttle to the station, and reconfigured some tools.

Good during EVA 3

NASA Image and Video Library

2010-05-21

ISS023-E-047833 (21 May 2010) --- NASA astronaut Michael Good, STS-132 mission specialist, participates in the mission?s third and final session of extravehicular activity (EVA) as construction and maintenance continue on the International Space Station. During the six-hour, 46-minute spacewalk, Good and NASA astronaut Garrett Reisman (out of frame), mission specialist, completed the installation of the final two of the six new batteries for the B side of the port 6 solar array. In addition, the astronauts installed a backup ammonia jumper cable between the port 4 and 5 trusses of the station, transferred a Power and Data Grapple Fixture from the shuttle to the station, and reconfigured some tools.

Good during EVA 3

NASA Image and Video Library

2010-05-21

ISS023-E-047828 (21 May 2010) --- NASA astronaut Michael Good, STS-132 mission specialist, participates in the mission?s third and final session of extravehicular activity (EVA) as construction and maintenance continue on the International Space Station. During the six-hour, 46-minute spacewalk, Good and NASA astronaut Garrett Reisman (out of frame), mission specialist, completed the installation of the final two of the six new batteries for the B side of the port 6 solar array. In addition, the astronauts installed a backup ammonia jumper cable between the port 4 and 5 trusses of the station, transferred a Power and Data Grapple Fixture from the shuttle to the station, and reconfigured some tools.

Cooperation, Trust, and Antagonism: How Public Goods Are Promoted.

PubMed

Parks, Craig D; Joireman, Jeff; Van Lange, Paul A M

2013-12-01

One of the most continually vexing problems in society is the variability with which citizens support endeavors that are designed to help a great number of people. In this article, we examine the twin roles of cooperative and antagonistic behavior in this variability. We find that each plays an important role, though their contributions are, understandably, at odds. It is this opposition that produces seeming unpredictability in citizen response to collective need. In fact, we suggest that careful consideration of the research allows one to often predict when efforts to provide a collectively beneficial good will succeed and when they will fail. To understand the dynamics of participation in response to collective need, it is necessary to distinguish between the primary types of need situations. A public good is an entity that relies in whole or in part on contributions to be provided. Examples of public goods are charities and public broadcasting. Public goods require that citizens experience a short-term loss (of their contribution) in order to realize a long-term gain (of the good). However, because everyone can use the good once it is provided, there is also an incentive to not contribute, let others give, and then take advantage of their efforts. This state of affairs introduces a conflict between doing what is best for oneself and what is best for the group. In a public goods situation, cooperation and antagonism impact how one resolves this conflict. The other major type of need situation is a common-pool resource problem. Here, a good is fully provided at the outset, and citizens may sample from it. The resource is usually, but not necessarily, partially replenished. Examples of replenished resources are drinking water and trees; examples of resources that are functionally not replenished are oil and minerals. Common-pool resources allow citizens to experience a short-term gain (by getting what they want in the early life of the resource) but also present

29 CFR 779.108 - Goods produced for commerce.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 29 Labor 3 2011-07-01 2011-07-01 false Goods produced for commerce. 779.108 Section 779.108 Labor... Coverage Employees Engaged in Commerce Or in the Production of Goods for Commerce § 779.108 Goods produced for commerce. Goods are “produced for commerce” if they are “produced, manufactured, mined, handled or...

29 CFR 779.108 - Goods produced for commerce.

Code of Federal Regulations, 2012 CFR

2012-07-01

... 29 Labor 3 2012-07-01 2012-07-01 false Goods produced for commerce. 779.108 Section 779.108 Labor... Coverage Employees Engaged in Commerce Or in the Production of Goods for Commerce § 779.108 Goods produced for commerce. Goods are “produced for commerce” if they are “produced, manufactured, mined, handled or...

29 CFR 779.108 - Goods produced for commerce.

Code of Federal Regulations, 2014 CFR

2014-07-01

... 29 Labor 3 2014-07-01 2014-07-01 false Goods produced for commerce. 779.108 Section 779.108 Labor... Coverage Employees Engaged in Commerce Or in the Production of Goods for Commerce § 779.108 Goods produced for commerce. Goods are “produced for commerce” if they are “produced, manufactured, mined, handled or...

29 CFR 779.108 - Goods produced for commerce.

Code of Federal Regulations, 2013 CFR

2013-07-01

... 29 Labor 3 2013-07-01 2013-07-01 false Goods produced for commerce. 779.108 Section 779.108 Labor... Coverage Employees Engaged in Commerce Or in the Production of Goods for Commerce § 779.108 Goods produced for commerce. Goods are “produced for commerce” if they are “produced, manufactured, mined, handled or...

29 CFR 779.108 - Goods produced for commerce.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 29 Labor 3 2010-07-01 2010-07-01 false Goods produced for commerce. 779.108 Section 779.108 Labor... Coverage Employees Engaged in Commerce Or in the Production of Goods for Commerce § 779.108 Goods produced for commerce. Goods are “produced for commerce” if they are “produced, manufactured, mined, handled or...

Early EEG for outcome prediction of postanoxic coma: prospective cohort study with cost-minimization analysis.

PubMed

Sondag, Lotte; Ruijter, Barry J; Tjepkema-Cloostermans, Marleen C; Beishuizen, Albertus; Bosch, Frank H; van Til, Janine A; van Putten, Michel J A M; Hofmeijer, Jeannette

2017-05-15

We recently showed that electroencephalography (EEG) patterns within the first 24 hours robustly contribute to multimodal prediction of poor or good neurological outcome of comatose patients after cardiac arrest. Here, we confirm these results and present a cost-minimization analysis. Early prognosis contributes to communication between doctors and family, and may prevent inappropriate treatment. A prospective cohort study including 430 subsequent comatose patients after cardiac arrest was conducted at intensive care units of two teaching hospitals. Continuous EEG was started within 12 hours after cardiac arrest and continued up to 3 days. EEG patterns were visually classified as unfavorable (isoelectric, low-voltage, or burst suppression with identical bursts) or favorable (continuous patterns) at 12 and 24 hours after cardiac arrest. Outcome at 6 months was classified as good (cerebral performance category (CPC) 1 or 2) or poor (CPC 3, 4, or 5). Predictive values of EEG measures and cost-consequences from a hospital perspective were investigated, assuming EEG-based decision- making about withdrawal of life-sustaining treatment in the case of a poor predicted outcome. Poor outcome occurred in 197 patients (51% of those included in the analyses). Unfavorable EEG patterns at 24 hours predicted a poor outcome with specificity of 100% (95% CI 98-100%) and sensitivity of 29% (95% CI 22-36%). Favorable patterns at 12 hours predicted good outcome with specificity of 88% (95% CI 81-93%) and sensitivity of 51% (95% CI 42-60%). Treatment withdrawal based on an unfavorable EEG pattern at 24 hours resulted in a reduced mean ICU length of stay without increased mortality in the long term. This gave small cost reductions, depending on the timing of withdrawal. Early EEG contributes to reliable prediction of good or poor outcome of postanoxic coma and may lead to reduced length of ICU stay. In turn, this may bring small cost reductions.

Predicting geogenic arsenic contamination in shallow groundwater of south Louisiana, United States.

PubMed

Yang, Ningfang; Winkel, Lenny H E; Johannesson, Karen H

2014-05-20

Groundwater contaminated with arsenic (As) threatens the health of more than 140 million people worldwide. Previous studies indicate that geology and sedimentary depositional environments are important factors controlling groundwater As contamination. The Mississippi River delta has broadly similar geology and sedimentary depositional environments to the large deltas in South and Southeast Asia, which are severely affected by geogenic As contamination and therefore may also be vulnerable to groundwater As contamination. In this study, logistic regression is used to develop a probability model based on surface hydrology, soil properties, geology, and sedimentary depositional environments. The model is calibrated using 3286 aggregated and binary-coded groundwater As concentration measurements from Bangladesh and verified using 78 As measurements from south Louisiana. The model's predictions are in good agreement with the known spatial distribution of groundwater As contamination of Bangladesh, and the predictions also indicate high risk of As contamination in shallow groundwater from Holocene sediments of south Louisiana. Furthermore, the model correctly predicted 79% of the existing shallow groundwater As measurements in the study region, indicating good performance of the model in predicting groundwater As contamination in shallow aquifers of south Louisiana.

Good Policy, Good Practice II. Improving Outcomes and Productivity in Higher Education: A Guide for Policymakers

ERIC Educational Resources Information Center

Brenneman, Meghan Wilson; Callan, Patrick M.; Ewell, Peter T.; Finney, Joni E.; Jones, Dennis P.; Zis, Stacey

2010-01-01

This new edition of "Good Policy, Good Practice II" revises and updates the authors' 2007 publication. Like the earlier edition, it responds to one of the questions that is raised most frequently in the authors' work with public policy and education leaders as they begin to address the national and state imperatives to increase the proportion of…

Cooperation and the common good.

PubMed

Johnstone, Rufus A; Rodrigues, António M M

2016-02-05

In this paper, we draw the attention of biologists to a result from the economic literature, which suggests that when individuals are engaged in a communal activity of benefit to all, selection may favour cooperative sharing of resources even among non-relatives. Provided that group members all invest some resources in the public good, they should refrain from conflict over the division of these resources. The reason is that, given diminishing returns on investment in public and private goods, claiming (or ceding) a greater share of total resources only leads to the actor (or its competitors) investing more in the public good, such that the marginal costs and benefits of investment remain in balance. This cancels out any individual benefits of resource competition. We illustrate how this idea may be applied in the context of biparental care, using a sequential game in which parents first compete with one another over resources, and then choose how to allocate the resources they each obtain to care of their joint young (public good) versus their own survival and future reproductive success (private good). We show that when the two parents both invest in care to some extent, they should refrain from any conflict over the division of resources. The same effect can also support asymmetric outcomes in which one parent competes for resources and invests in care, whereas the other does not invest but refrains from competition. The fact that the caring parent gains higher fitness pay-offs at these equilibria suggests that abandoning a partner is not always to the latter's detriment, when the potential for resource competition is taken into account, but may instead be of benefit to the 'abandoned' mate. © 2016 The Author(s).

Cooperation and the common good

PubMed Central

Johnstone, Rufus A.; Rodrigues, António M. M.

2016-01-01

In this paper, we draw the attention of biologists to a result from the economic literature, which suggests that when individuals are engaged in a communal activity of benefit to all, selection may favour cooperative sharing of resources even among non-relatives. Provided that group members all invest some resources in the public good, they should refrain from conflict over the division of these resources. The reason is that, given diminishing returns on investment in public and private goods, claiming (or ceding) a greater share of total resources only leads to the actor (or its competitors) investing more in the public good, such that the marginal costs and benefits of investment remain in balance. This cancels out any individual benefits of resource competition. We illustrate how this idea may be applied in the context of biparental care, using a sequential game in which parents first compete with one another over resources, and then choose how to allocate the resources they each obtain to care of their joint young (public good) versus their own survival and future reproductive success (private good). We show that when the two parents both invest in care to some extent, they should refrain from any conflict over the division of resources. The same effect can also support asymmetric outcomes in which one parent competes for resources and invests in care, whereas the other does not invest but refrains from competition. The fact that the caring parent gains higher fitness pay-offs at these equilibria suggests that abandoning a partner is not always to the latter's detriment, when the potential for resource competition is taken into account, but may instead be of benefit to the ‘abandoned’ mate. PMID:26729926

Good-Neighbor Policy

ERIC Educational Resources Information Center

Drozdowski, Mark J.

2007-01-01

In this article, the author draws on his experience as the director of the Fitchburg State College Foundation in Fitchburg, Massachusetts, to make a distinction between being a good neighbor to local non-profit organizations by sharing strategies and information, and creating conflicts of interest when both the college and its neighbor…

Which type of leader do I support in step-level public good dilemmas? The roles of level of threshold and trust.

PubMed

De Cremer, David

2007-02-01

The present research examined the moderating effect of the level of threshold on people's preferences for different leader types in step-level public good dilemmas. It was assumed that the primary focus of people in step-level public good dilemmas is to make sure that the group surpasses the threshold. Consequently, when the level of threshold is difficult to reach people are expected to provide more support for and cooperate with a leader that monitors and controls the contributions made toward the public good. However, if the threshold is easy to surpass people will focus more on whether the obtained public good or bonus will be distributed according to agreements, suggesting that people will provide more support to and cooperate with a leader that monitors and controls the distribution of the bonus. These predictions were confirmed across two experiments using a step-level public good paradigm with a dichotomous (Study 1) and a continuous (Study 2) contribution choice. Moreover, the results also revealed that perceptions of trust accounted, in part, for the effect of level of threshold on people's leadership preferences.

The good doctor: the carer's perspective.

PubMed

Levine, Carol

2004-01-01

Carers are family members, friends, and neighbours who perform medical tasks and personal care, manage housekeeping and financial affairs, and provide emotional support to people who are ill, disabled, or elderly. From a carer's perspective, the primary requisite for a good doctor is competence. Assuming equal technical skills and knowledge, the difference between 'good' and 'bad' doctors comes down to attitudes and behaviour-communication. An important aspect of communication is what doctors say to carers, and how they interpret what carers say to them. Body language-stances, gestures and expression-communicates as well. Good doctors are surrounded by courteous, helpful and efficient assistants. Doctors can make two types of errors in dealing with carers. Type 1 errors occur when doctors exclude the carer from decision making and information. Type 2 errors occur when doctors speak only to the carer and ignore the patient. Good doctors, patients and carers confront the existential meaning of illness together.

Good surgeon: A search for meaning.

PubMed

Akopov, Andrey L; Artioukh, Dmitri Y

2017-01-01

The art and philosophy of surgery are not as often discussed as scientific discoveries and technological advances in the modern era of surgery. Although these are difficult to teach and pass on to the next generations of surgeons they are no less important for training good surgeons and maintaining their high standards. The authors of this review and opinion article tried to define what being a good surgeon really means and to look into the subject by analysing the essential conditions for being a good surgeon and the qualities that such a specialist should possess. In addition to a strong theoretic knowledge and practical skills and among the several described professional and personal characteristics, a good surgeon is expected to have common sense. It enables a surgeon to make a sound practical judgment independent of specialized medical knowledge and training. The possible ways of developing and/or enhancing common sense during surgical training and subsequent practice require separate analysis.

Prediction of Turbulent Temperature Fluctuations in Hot Jets

NASA Technical Reports Server (NTRS)

Debonis, James R.

2017-01-01

Large-eddy simulations were used to investigate turbulent temperature fluctuations and turbulent heat flux in hot jets. A high-resolution finite-difference Navier-Stokes solver, WRLES, was used to compute the flow from a 2-inch round nozzle. Several different flow conditions, consisting of different jet Mach numbers and temperature ratios, were examined. Predictions of mean and fluctuating velocities were compared to previously obtained particle image velocimetry data. Predictions of mean and fluctuating temperature were compared to new data obtained using Raman spectroscopy. Based on the good agreement with experimental data for the individual quantities, the combined quantity turbulent heat flux was examined.

How To Achieve Good Library Acoustics.

ERIC Educational Resources Information Center

Wiens, Janet

2003-01-01

Discusses how to create a good acoustical environment for college libraries, focusing on requirements related to the HVAC system and lighting, and noting the importance of good maintenance. A sidebar looks at how to design and achieve the most appropriate HVAC and lighting systems for optimum library acoustics. (SM)

Stretched size of atrial septal defect predicted by intracardiac echocardiography.

PubMed

Lin, Ming-Chih; Fu, Yun-Ching; Jan, Sheng-Ling; Ho, Chi-Lin; Hwang, Betau

2010-01-01

The stretched size of an atrial septal defect (ASD) is important for device selection during transcatheter closure. However, balloon sizing carries potential risks such as hypotension, bradycardia, or laceration of the atrial septum. The aim of the present study was to investigate the accuracy of the predicted stretched size of ASD by intracardiac echocardiography (ICE). From December 2004 to November 2007, 136 consecutive patients with single secundum type ASD undergoing transcatheter closure of their defect using the Amplatzer septal occluder under ICE guidance were enrolled for analysis. There were 43 males and 93 females. The age ranged from 2.2 to 79.1 years with a median age of 13.4 years. The body weight ranged from 12.1 to 93.2 kg with a median body weight of 45.8 kg. The stretched size of ASD measured by a sizing plate was considered as the standard. ASD sizes measured by ICE in bicaval and short-axis views predicted the stretched size by formulae derived from linear regressions. The predicted stretched sizes obtained using 2 formulae, 1.34 x radicalbicaval xshort axis (formula 1) and 1.22 x larger diameter (formula 2), exhibited good agreement with the standard stretched size with Kappa values of 0.91 and 0.90, respectively. The accuracy rate of predicted stretched sizes within 2 mm, 3 mm, and 4 mm range of the standard size were 32.8%, 45.4%, and 57.7% (formula 1) and 33.1%, 50%, and 63.2% (formula 2). The stretched size of ASD predicted by ICE exhibited good agreement with the standard stretched size. This prediction provides helpful information, especially if balloon sizing cannot be adequately performed.

The ethics of big data as a public good: which public? Whose good?

PubMed

Taylor, Linnet

2016-12-28

International development and humanitarian organizations are increasingly calling for digital data to be treated as a public good because of its value in supplementing scarce national statistics and informing interventions, including in emergencies. In response to this claim, a 'responsible data' movement has evolved to discuss guidelines and frameworks that will establish ethical principles for data sharing. However, this movement is not gaining traction with those who hold the highest-value data, particularly mobile network operators who are proving reluctant to make data collected in low- and middle-income countries accessible through intermediaries. This paper evaluates how the argument for 'data as a public good' fits with the corporate reality of big data, exploring existing models for data sharing. I draw on the idea of corporate data as an ecosystem involving often conflicting rights, duties and claims, in comparison to the utilitarian claim that data's humanitarian value makes it imperative to share them. I assess the power dynamics implied by the idea of data as a public good, and how differing incentives lead actors to adopt particular ethical positions with regard to the use of data.This article is part of the themed issue 'The ethical impact of data science'. © 2016 The Author(s).

Is Good Fit Related to Good Behaviour? Goodness of Fit between Daycare Teacher-Child Relationships, Temperament, and Prosocial Behaviour

ERIC Educational Resources Information Center

Hipson, Will E.; Séguin, Daniel G.

2016-01-01

The Goodness-of-Fit model [Thomas, A., & Chess, S. (1977). Temperament and development. New York: Brunner/Mazel] proposes that a child's temperament interacts with the environment to influence child outcomes. In the past, researchers have shown how the association between the quality of the teacher-child relationship in daycare and child…

"The Corn People Have a Song Too. It Is Very Good": On Beauty, Truth, and Goodness

ERIC Educational Resources Information Center

Chamberlin, J. Edward

2009-01-01

Twenty-first-century skeptics would say that there are really no such things as beauty and truth and certainly not goodness. A Pueblo poet seemed to think there was--"the corn people have a song / it is very good"--and unless people think they know better, they'd better listen up. This article begins with a short piece, set down by the…

Predicting Handwriting Difficulties Through Spelling Processes.

PubMed

Rodríguez, Cristina; Villarroel, Rebeca

This study examined whether spelling tasks contribute to the prediction of the handwriting status of children with poor and good handwriting skills in a cross-sectional study with 276 Spanish children from Grades 1 and 3. The main hypothesis was that the spelling tasks would predict the handwriting status of the children, although this influence would decrease with age due to a gradual automatization of handwriting skills. The results confirmed this hypothesis. Another interesting result was that the pattern of pseudoword and irregular word spellings as predictors of handwriting status changed from Grade 1 to Grade 3. In Grade 1, the pseudoword spelling task made a significant contribution, whereas the irregular word spelling task did not. The opposite pattern was found in Grade 3. These results may be a consequence of progressive acquisition of orthographic representations. The orthographic role of the task of writing the alphabet in order from memory in the prediction model was also analyzed. The writing of the alphabet in order from memory task made a significant contribution to the prediction of handwriting status of the children beyond the orthographic influence of spelling tasks. The additional effect of this task on the prediction of handwriting status is presumably due to the fact that this measure is based on fluency.

Luggage and shipped goods.

PubMed

Vogel, H; Haller, D

2007-08-01

Control of luggage and shipped goods are frequently carried out. The possibilities of X-ray technology shall be demonstrated. There are different imaging techniques. The main concepts are transmission imaging, backscatter imaging, computed tomography, and dual energy imaging and the combination of different methods The images come from manufacturers and personal collections. The search concerns mainly, weapons, explosives, and drugs; furthermore animals, and stolen goods, Special problems offer the control of letters and the detection of Improvised Explosive Devices (IED). One has to expect that controls will increase and that imaging with X-rays will have their part. Pattern recognition software will be used for analysis enforced by economy and by demand for higher efficiency - man and computer will produce more security than man alone.

Does Parsonnet scoring model predict mortality following adult cardiac surgery in India?

PubMed

Srilata, Moningi; Padhy, Narmada; Padmaja, Durga; Gopinath, Ramachandran

2015-01-01

To validate the Parsonnet scoring model to predict mortality following adult cardiac surgery in Indian scenario. A total of 889 consecutive patients undergoing adult cardiac surgery between January 2010 and April 2011 were included in the study. The Parsonnet score was determined for each patient and its predictive ability for in-hospital mortality was evaluated. The validation of Parsonnet score was performed for the total data and separately for the sub-groups coronary artery bypass grafting (CABG), valve surgery and combined procedures (CABG with valve surgery). The model calibration was performed using Hosmer-Lemeshow goodness of fit test and receiver operating characteristics (ROC) analysis for discrimination. Independent predictors of mortality were assessed from the variables used in the Parsonnet score by multivariate regression analysis. The overall mortality was 6.3% (56 patients), 7.1% (34 patients) for CABG, 4.3% (16 patients) for valve surgery and 16.2% (6 patients) for combined procedures. The Hosmer-Lemeshow statistic was <0.05 for the total data and also within the sub-groups suggesting that the predicted outcome using Parsonnet score did not match the observed outcome. The area under the ROC curve for the total data was 0.699 (95% confidence interval 0.62-0.77) and when tested separately, it was 0.73 (0.64-0.81) for CABG, 0.79 (0.63-0.92) for valve surgery (good discriminatory ability) and only 0.55 (0.26-0.83) for combined procedures. The independent predictors of mortality determined for the total data were low ejection fraction (odds ratio [OR] - 1.7), preoperative intra-aortic balloon pump (OR - 10.7), combined procedures (OR - 5.1), dialysis dependency (OR - 23.4), and re-operation (OR - 9.4). The Parsonnet score yielded a good predictive value for valve surgeries, moderate predictive value for the total data and for CABG and poor predictive value for combined procedures.

Predicting heavy episodic drinking using an extended temporal self-regulation theory.

PubMed

Black, Nicola; Mullan, Barbara; Sharpe, Louise

2017-10-01

Alcohol consumption contributes significantly to the global burden from disease and injury, and specific patterns of heavy episodic drinking contribute uniquely to this burden. Temporal self-regulation theory and the dual-process model describe similar theoretical constructs that might predict heavy episodic drinking. The aims of this study were to test the utility of temporal self-regulation theory in predicting heavy episodic drinking, and examine whether the theoretical relationships suggested by the dual-process model significantly extend temporal self-regulation theory. This was a predictive study with 149 Australian adults. Measures were questionnaires (self-report habit index, cues to action scale, purpose-made intention questionnaire, timeline follow-back questionnaire) and executive function tasks (Stroop, Tower of London, operation span). Participants completed measures of theoretical constructs at baseline and reported their alcohol consumption two weeks later. Data were analysed using hierarchical multiple linear regression. Temporal self-regulation theory significantly predicted heavy episodic drinking (R 2 =48.0-54.8%, p<0.001) and the hypothesised extension significantly improved the prediction of heavy episodic drinking frequency (ΔR 2 =4.5%, p=0.001) but not peak consumption (ΔR 2 =1.4%, p=0.181). Intention and behavioural prepotency directly predicted heavy episodic drinking (p<0.01). Planning ability moderated the intention-behaviour relationship and inhibitory control moderated the behavioural prepotency-behaviour relationship (p<0.05). Both temporal self-regulation theory and the extended temporal self-regulation theory provide good prediction of heavy episodic drinking. Intention, behavioural prepotency, planning ability and inhibitory control may be good targets for interventions designed to decrease heavy episodic drinking. Copyright © 2017 Elsevier Ltd. All rights reserved.

Detecting failure of climate predictions

USGS Publications Warehouse

Runge, Michael C.; Stroeve, Julienne C.; Barrett, Andrew P.; McDonald-Madden, Eve

2016-01-01

The practical consequences of climate change challenge society to formulate responses that are more suited to achieving long-term objectives, even if those responses have to be made in the face of uncertainty1, 2. Such a decision-analytic focus uses the products of climate science as probabilistic predictions about the effects of management policies3. Here we present methods to detect when climate predictions are failing to capture the system dynamics. For a single model, we measure goodness of fit based on the empirical distribution function, and define failure when the distribution of observed values significantly diverges from the modelled distribution. For a set of models, the same statistic can be used to provide relative weights for the individual models, and we define failure when there is no linear weighting of the ensemble models that produces a satisfactory match to the observations. Early detection of failure of a set of predictions is important for improving model predictions and the decisions based on them. We show that these methods would have detected a range shift in northern pintail 20 years before it was actually discovered, and are increasingly giving more weight to those climate models that forecast a September ice-free Arctic by 2055.

The secret to happiness: Feeling good or feeling right?

PubMed

Tamir, Maya; Schwartz, Shalom H; Oishi, Shige; Kim, Min Y

2017-10-01

Which emotional experiences should people pursue to optimize happiness? According to traditional subjective well-being research, the more pleasant emotions we experience, the happier we are. According to Aristotle, the more we experience the emotions we want to experience, the happier we are. We tested both predictions in a cross-cultural sample of 2,324 participants from 8 countries around the world. We assessed experienced emotions, desired emotions, and indices of well-being and depressive symptoms. Across cultures, happier people were those who more often experienced emotions they wanted to experience, whether these were pleasant (e.g., love) or unpleasant (e.g., hatred). This pattern applied even to people who wanted to feel less pleasant or more unpleasant emotions than they actually felt. Controlling for differences in experienced and desired emotions left the pattern unchanged. These findings suggest that happiness involves experiencing emotions that feel right, whether they feel good or not. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Processing and utilization of LiDAR data as a support for a good management of DDBR

NASA Astrophysics Data System (ADS)

Nichersu, I.; Grigoras, I.; Constantinescu, A.; Mierla, M.; Tifanov, C.

2012-04-01

Danube Delta Biosphere Reserve (DDBR) has 5,800 km2 as surface and it is situated in the South-East of Europe, in the East of Romania. The paper is taking into account the data related to the elevation surfaces of the DDBR (Digital Terrain Model DTM and Digital Surface Model DSM). To produce such kind of models of elevation for the entire area of DDBR it was used the most modern method that utilizes the Light Detection And Ranging (LiDAR). The raw LiDAR data (x, y, z) for each point were transformed into grid formats for DTM and DSM. Based on these data multiple GIS analyses can be done for management purposes : hydraulic modeling 1D2D scenarios, flooding regime and protection, biomass volume estimation, GIS biodiversity processing. These analyses are very useful in the management planning process. The hydraulic modeling 1D2D scenarios are used by the administrative authority to predict the sense of the fluvial water flow and also to predict the places where the flooding could occur. Also it can be predicted the surface of the terrain that will be occupied by the water from floods. Flooding regime gives information about the frequency of the floods and also the intensity of these. In the same time it could be predicted the time of water remanence period. The protection face of the flooding regime is in direct relation with the socio-cultural communities and all their annexes those that are in risk of being flooded. This raises the problem of building dykes and other flooding protection systems. The biomass volume contains information derived from the LiDAR cloud points that describes only the vegetation. The volume of biomass is an important item in the management of a Biosphere Reserve. Also the LiDAR cloud points that refer to vegetation could help in identifying the groups of vegetal association. All these information corroborated with other information build good premises for a good management. Keywords: Danube Delta Biosphere Reserve, LiDAR data, DTM, DSM

Choosing Good Websites

ERIC Educational Resources Information Center

Webber, Nancy

2004-01-01

Many art teachers use the Web as an information source. Overall, they look for good content that is clearly written concise, accurate, and pertinent. A well-designed site gives users what they want quickly, efficiently, and logically, and does not ask them to assemble a puzzle to resolve their search. How can websites with these qualities be…

Development of demi-span equations for predicting height among the Malaysian elderly.

PubMed

Ngoh, H J; Sakinah, H; Harsa Amylia, M S

2012-08-01

This study aimed to develop demi-span equations for predicting height in the Malaysian elderly and to explore the applicability of previous published demi-span equations derived from adult populations to the elderly. A cross-sectional study was conducted on Malaysian elderly aged 60 years and older. Subjects were residents of eight shelter homes in Peninsular Malaysia; 204 men and 124 women of Malay, Chinese and Indian ethnicity were included. Measurements of weight, height and demi-span were obtained using standard procedures. Statistical analyses were performed using SPSS version 18.0. The demi-span equations obtained were as follows: Men: Height (cm) = 67.51 + (1.29 x demi-span) - (0.12 x age) + 4.13; Women: Height (cm) = 67.51 + (1.29 x demi-span) - (0.12 x age). Height predicted from these new equations demonstrated good agreement with measured height and no significant differences were found between the mean values of predicted and measured heights in either gender (p>0.05). However, the heights predicted from previous published adult-derived demi-span equations failed to yield good agreement with the measured height of the elderly; significant over-estimation and underestimation of heights tended to occur (p>0.05). The new demi-span equations allow prediction of height with sufficient accuracy in the Malaysian elderly. However, further validation on other elderly samples is needed. Also, we recommend caution when using adult-derived demi-span equations to predict height in elderly people.

18 CFR 2.20 - Good faith requests for transmission services and good faith responses by transmitting utilities.

Code of Federal Regulations, 2012 CFR

2012-04-01

... 18 Conservation of Power and Water Resources 1 2012-04-01 2012-04-01 false Good faith requests for transmission services and good faith responses by transmitting utilities. 2.20 Section 2.20 Conservation of Power and Water Resources FEDERAL ENERGY REGULATORY COMMISSION, DEPARTMENT OF ENERGY GENERAL RULES...

18 CFR 2.20 - Good faith requests for transmission services and good faith responses by transmitting utilities.

Code of Federal Regulations, 2014 CFR

2014-04-01

... 18 Conservation of Power and Water Resources 1 2014-04-01 2014-04-01 false Good faith requests for transmission services and good faith responses by transmitting utilities. 2.20 Section 2.20 Conservation of Power and Water Resources FEDERAL ENERGY REGULATORY COMMISSION, DEPARTMENT OF ENERGY GENERAL RULES...

18 CFR 2.20 - Good faith requests for transmission services and good faith responses by transmitting utilities.

Code of Federal Regulations, 2013 CFR

2013-04-01

... 18 Conservation of Power and Water Resources 1 2013-04-01 2013-04-01 false Good faith requests for transmission services and good faith responses by transmitting utilities. 2.20 Section 2.20 Conservation of Power and Water Resources FEDERAL ENERGY REGULATORY COMMISSION, DEPARTMENT OF ENERGY GENERAL RULES...

Prediction models for clustered data: comparison of a random intercept and standard regression model.

PubMed

Bouwmeester, Walter; Twisk, Jos W R; Kappen, Teus H; van Klei, Wilton A; Moons, Karel G M; Vergouwe, Yvonne

2013-02-15

When study data are clustered, standard regression analysis is considered inappropriate and analytical techniques for clustered data need to be used. For prediction research in which the interest of predictor effects is on the patient level, random effect regression models are probably preferred over standard regression analysis. It is well known that the random effect parameter estimates and the standard logistic regression parameter estimates are different. Here, we compared random effect and standard logistic regression models for their ability to provide accurate predictions. Using an empirical study on 1642 surgical patients at risk of postoperative nausea and vomiting, who were treated by one of 19 anesthesiologists (clusters), we developed prognostic models either with standard or random intercept logistic regression. External validity of these models was assessed in new patients from other anesthesiologists. We supported our results with simulation studies using intra-class correlation coefficients (ICC) of 5%, 15%, or 30%. Standard performance measures and measures adapted for the clustered data structure were estimated. The model developed with random effect analysis showed better discrimination than the standard approach, if the cluster effects were used for risk prediction (standard c-index of 0.69 versus 0.66). In the external validation set, both models showed similar discrimination (standard c-index 0.68 versus 0.67). The simulation study confirmed these results. For datasets with a high ICC (≥15%), model calibration was only adequate in external subjects, if the used performance measure assumed the same data structure as the model development method: standard calibration measures showed good calibration for the standard developed model, calibration measures adapting the clustered data structure showed good calibration for the prediction model with random intercept. The models with random intercept discriminate better than the standard model only

Contra-Rotating Open Rotor Tone Noise Prediction

NASA Technical Reports Server (NTRS)

Envia, Edmane

2014-01-01

Reliable prediction of contra-rotating open rotor (CROR) noise is an essential element of any strategy for the development of low-noise open rotor propulsion systems that can meet both the community noise regulations and the cabin noise limits. Since CROR noise spectra typically exhibits a preponderance of tones, significant efforts have been directed towards predicting their tone spectra. To that end, there has been an ongoing effort at NASA to assess various in-house open rotor tone noise prediction tools using a benchmark CROR blade set for which significant aerodynamic and acoustic data had been acquired in wind tunnel tests. In the work presented here, the focus is on the near-field noise of the benchmark open rotor blade set at the cruise condition. Using an analytical CROR tone noise model with input from high-fidelity aerodynamic simulations, detailed tone noise spectral predictions have been generated and compared with the experimental data. Comparisons indicate that the theoretical predictions are in good agreement with the data, especially for the dominant CROR tones and their overall sound pressure level. The results also indicate that, whereas individual rotor tones are well predicted by the linear sources (i.e., thickness and loading), for the interaction tones it is essential that the quadrupole sources be included in the analysis.

Contra-Rotating Open Rotor Tone Noise Prediction

NASA Technical Reports Server (NTRS)

Envia, Edmane

2014-01-01

Reliable prediction of contra-rotating open rotor (CROR) noise is an essential element of any strategy for the development of low-noise open rotor propulsion systems that can meet both the community noise regulations and cabin noise limits. Since CROR noise spectra exhibit a preponderance of tones, significant efforts have been directed towards predicting their tone content. To that end, there has been an ongoing effort at NASA to assess various in-house open rotor tone noise prediction tools using a benchmark CROR blade set for which significant aerodynamic and acoustic data have been acquired in wind tunnel tests. In the work presented here, the focus is on the nearfield noise of the benchmark open rotor blade set at the cruise condition. Using an analytical CROR tone noise model with input from high-fidelity aerodynamic simulations, tone noise spectra have been predicted and compared with the experimental data. Comparisons indicate that the theoretical predictions are in good agreement with the data, especially for the dominant tones and for the overall sound pressure level of tones. The results also indicate that, whereas the individual rotor tones are well predicted by the combination of the thickness and loading sources, for the interaction tones it is essential that the quadrupole source is also included in the analysis.

Neutrino flux predictions for the NuMI beam

NASA Astrophysics Data System (ADS)

Aliaga, L.; Kordosky, M.; Golan, T.; Altinok, O.; Bellantoni, L.; Bercellie, A.; Betancourt, M.; Bravar, A.; Budd, H.; Carneiro, M. F.; Dytman, S.; Díaz, G. A.; Endress, E.; Felix, J.; Fields, L.; Fine, R.; Gago, A. M.; Galindo, R.; Gallagher, H.; Gran, R.; Harris, D. A.; Higuera, A.; Hurtado, K.; Kiveni, M.; Kleykamp, J.; Le, T.; Maher, E.; Manly, S.; Mann, W. A.; Marshall, C. M.; Martinez Caicedo, D. A.; McFarland, K. S.; McGivern, C. L.; McGowan, A. M.; Messerly, B.; Miller, J.; Mislivec, A.; Morfín, J. G.; Mousseau, J.; Naples, D.; Nelson, J. K.; Norrick, A.; Nuruzzaman, Paolone, V.; Park, J.; Patrick, C. E.; Perdue, G. N.; Ransome, R. D.; Ray, H.; Ren, L.; Rimal, D.; Rodrigues, P. A.; Ruterbories, D.; Schellman, H.; Solano Salinas, C. J.; Sánchez Falero, S.; Tice, B. G.; Valencia, E.; Walton, T.; Wolcott, J.; Wospakrik, M.; Zhang, D.; MinerνA Collaboration

2016-11-01

Knowledge of the neutrino flux produced by the Neutrinos at the Main Injector (NuMI) beamline is essential to the neutrino oscillation and neutrino interaction measurements of the MINERvA, MINOS + , NOvA and MicroBooNE experiments at Fermi National Accelerator Laboratory. We have produced a flux prediction which uses all available and relevant hadron production data, incorporating measurements of particle production off of thin targets as well as measurements of particle yields from a spare NuMI target exposed to a 120 GeV proton beam. The result is the most precise flux prediction achieved for a neutrino beam in the one to tens of GeV energy region. We have also compared the prediction to in situ measurements of the neutrino flux and find good agreement.

Prediction of R-curves from small coupon tests

NASA Technical Reports Server (NTRS)

Yeh, J. R.; Bray, G. H.; Bucci, R. J.; Macheret, Y.

1994-01-01

R-curves were predicted for Alclad 2024-T3 and C188-T3 sheet using the results of small-coupon Kahn tear tests in combination with two-dimensional elastic-plastic finite element stress analyses. The predictions were compared to experimental R-curves from 6.3, 16 and 60-inch wide M(T) specimens and good agreement was obtained. The method is an inexpensive alternative to wide panel testing for characterizing the fracture toughness of damage-tolerant sheet alloys. The usefulness of this approach was demonstrated by performing residual strength calculations for a two-bay crack in a representative fuselage structure. C188-T3 was predicted to have a 24 percent higher load carrying capability than 2024-T3 in this application as a result of its superior fracture toughness.

Prediction on carbon dioxide emissions based on fuzzy rules

NASA Astrophysics Data System (ADS)

Pauzi, Herrini; Abdullah, Lazim

2014-06-01

There are several ways to predict air quality, varying from simple regression to models based on artificial intelligence. Most of the conventional methods are not sufficiently able to provide good forecasting performances due to the problems with non-linearity uncertainty and complexity of the data. Artificial intelligence techniques are successfully used in modeling air quality in order to cope with the problems. This paper describes fuzzy inference system (FIS) to predict CO2 emissions in Malaysia. Furthermore, adaptive neuro-fuzzy inference system (ANFIS) is used to compare the prediction performance. Data of five variables: energy use, gross domestic product per capita, population density, combustible renewable and waste and CO2 intensity are employed in this comparative study. The results from the two model proposed are compared and it is clearly shown that the ANFIS outperforms FIS in CO2 prediction.

19 CFR 181.45 - Goods eligible for full drawback.

Code of Federal Regulations, 2010 CFR

2010-04-01

...-Deferral Programs § 181.45 Goods eligible for full drawback. (a) Goods originating in Canada or Mexico. A... originating good is: (1) Subsequently exported to Canada or Mexico; (2) Used as a material in the production of another good that is subsequently exported to Canada or Mexico; or (3) Substituted by a good of...

19 CFR 181.45 - Goods eligible for full drawback.

Code of Federal Regulations, 2011 CFR

2011-04-01

...-Deferral Programs § 181.45 Goods eligible for full drawback. (a) Goods originating in Canada or Mexico. A... originating good is: (1) Subsequently exported to Canada or Mexico; (2) Used as a material in the production of another good that is subsequently exported to Canada or Mexico; or (3) Substituted by a good of...

Theory for the evolution of diffusible external goods.

PubMed

Driscoll, William W; Pepper, John W

2010-09-01

Organisms from prokaryotes to plants and animals make costly investments in diffusible beneficial external products. While the costs of producing such products are born only by the producer, the benefits may be distributed more widely. How are external goods-producing populations stabilized against invasion by nonproducing variants that receive the benefits without paying the cost? This question parallels the classic question of altruism, but because external goods production need not be altruistic per se, a broader range of conditions may lead to the maintenance of these traits. We start from the physics of diffusion to develop an expression for the conditions that favor the production of diffusible external goods. Important variables in determining the evolutionary outcome include the diffusion coefficient of the good, the distance between individuals, and the uptake rate of the external good. These variables join the coefficient of relatedness and the cost/benefit ratio in an expanded form of Hamilton's rule that includes both selfish and altruistic paths to the evolution of external goods strategies. This expanded framework can be applied to any external goods trait, and is a useful heuristic even when it is difficult to quantify the fitness consequences of producing the good. © 2010 The Author(s). Journal compilation © 2010 The Society for the Study of Evolution.

HDL: The "Good" Cholesterol

MedlinePlus

... and LDL (bad) cholesterol: HDL stands for high-density lipoproteins. It is called the "good" cholesterol because ... cholesterol from your body. LDL stands for low-density lipoproteins. It is called the "bad" cholesterol because ...

Men behaving nicely: public goods as peacock tails.

PubMed

Van Vugt, Mark; Iredale, Wendy

2013-02-01

Insights from sexual selection and costly signalling theory suggest that competition for females underlies men's public good contributions. We conducted two public good experiments to test this hypothesis. First, we found that men contributed more in the presence of an opposite sex audience, but there was no parallel effect for the women. In addition, men's public good contributions went up as they rated the female observer more attractive. In the second experiment, all male groups played a five round public good game and their contributions significantly increased over time with a female audience only. In this condition men also volunteered more time for various charitable causes. These findings support the idea that men compete with each other by creating public goods to impress women. Thus, a public good is the human equivalent of a peacock's tail. © 2012 The British Psychological Society.

Minimum curvilinearity to enhance topological prediction of protein interactions by network embedding

PubMed Central

Cannistraci, Carlo Vittorio; Alanis-Lobato, Gregorio; Ravasi, Timothy

2013-01-01

Motivation: Most functions within the cell emerge thanks to protein–protein interactions (PPIs), yet experimental determination of PPIs is both expensive and time-consuming. PPI networks present significant levels of noise and incompleteness. Predicting interactions using only PPI-network topology (topological prediction) is difficult but essential when prior biological knowledge is absent or unreliable. Methods: Network embedding emphasizes the relations between network proteins embedded in a low-dimensional space, in which protein pairs that are closer to each other represent good candidate interactions. To achieve network denoising, which boosts prediction performance, we first applied minimum curvilinear embedding (MCE), and then adopted shortest path (SP) in the reduced space to assign likelihood scores to candidate interactions. Furthermore, we introduce (i) a new valid variation of MCE, named non-centred MCE (ncMCE); (ii) two automatic strategies for selecting the appropriate embedding dimension; and (iii) two new randomized procedures for evaluating predictions. Results: We compared our method against several unsupervised and supervisedly tuned embedding approaches and node neighbourhood techniques. Despite its computational simplicity, ncMCE-SP was the overall leader, outperforming the current methods in topological link prediction. Conclusion: Minimum curvilinearity is a valuable non-linear framework that we successfully applied to the embedding of protein networks for the unsupervised prediction of novel PPIs. The rationale for our approach is that biological and evolutionary information is imprinted in the non-linear patterns hidden behind the protein network topology, and can be exploited for predicting new protein links. The predicted PPIs represent good candidates for testing in high-throughput experiments or for exploitation in systems biology tools such as those used for network-based inference and prediction of disease-related functional modules

Prognostic discrimination in "good-risk" chronic granulocytic leukemia.

PubMed

Sokal, J E; Cox, E B; Baccarani, M; Tura, S; Gomez, G A; Robertson, J E; Tso, C Y; Braun, T J; Clarkson, B D; Cervantes, F

1984-04-01

The prognostic significance of disease features recorded at the time of diagnosis was examined among 813 patients with Philadelphia chromosome-positive, nonblastic chronic granulocytic leukemia (CGL) collected from six European and American series. The survival pattern for this population was typical of "good-risk" patients, and median survival was 47 mo. There were multiple interrelationships among different disease features, which led to highly significant correlations with survival for some that had no primary prognostic significance, such as hematocrit. Multivariable regression analysis indicated that spleen size and the percentage of circulating blasts were the most important prognostic indicators. These features, and age, behaved as continuous variables with progressively unfavorable import at higher values. The platelet count did not influence survival significantly at values below 700 X 10(9)/liter but was increasingly unfavorable above this level. Basophils plus eosinophils over 15%, more than 5% marrow blasts, and karyotypic abnormalities in addition to the Ph1 were also significant unfavorable signs. The Cox model, generated with four variables representing percent blasts, spleen size, platelet count, and age, provided a useful representation of risk status in this population, with good fit between predicted and observed survival over more than a twofold survival range. A hazard function derived from half of the patient population successfully segregated the remainder into three groups with significantly different survival patterns. We conclude that it should be possible to identify a lower risk group of patients with a 2-yr survival of 90%, subsequent risk averaging somewhat less than 20%/yr and median survival of 5 yr, an intermediate group, and a high-risk group with a 2-yr survival of 65%, followed by a death rate of about 35%/yr and median survival of 2.5 yr.

Quantitative prediction of solute strengthening in aluminium alloys.

PubMed

Leyson, Gerard Paul M; Curtin, William A; Hector, Louis G; Woodward, Christopher F

2010-09-01

Despite significant advances in computational materials science, a quantitative, parameter-free prediction of the mechanical properties of alloys has been difficult to achieve from first principles. Here, we present a new analytic theory that, with input from first-principles calculations, is able to predict the strengthening of aluminium by substitutional solute atoms. Solute-dislocation interaction energies in and around the dislocation core are first calculated using density functional theory and a flexible-boundary-condition method. An analytic model for the strength, or stress to move a dislocation, owing to the random field of solutes, is then presented. The theory, which has no adjustable parameters and is extendable to other metallic alloys, predicts both the energy barriers to dislocation motion and the zero-temperature flow stress, allowing for predictions of finite-temperature flow stresses. Quantitative comparisons with experimental flow stresses at temperature T=78 K are made for Al-X alloys (X=Mg, Si, Cu, Cr) and good agreement is obtained.

A predictive scoring instrument for tuberculosis lost to follow-up outcome

PubMed Central

2012-01-01

Background Adherence to tuberculosis (TB) treatment is troublesome, due to long therapy duration, quick therapeutic response which allows the patient to disregard about the rest of their treatment and the lack of motivation on behalf of the patient for improved. The objective of this study was to develop and validate a scoring system to predict the probability of lost to follow-up outcome in TB patients as a way to identify patients suitable for directly observed treatments (DOT) and other interventions to improve adherence. Methods Two prospective cohorts, were used to develop and validate a logistic regression model. A scoring system was constructed, based on the coefficients of factors associated with a lost to follow-up outcome. The probability of lost to follow-up outcome associated with each score was calculated. Predictions in both cohorts were tested using receiver operating characteristic curves (ROC). Results The best model to predict lost to follow-up outcome included the following characteristics: immigration (1 point value), living alone (1 point) or in an institution (2 points), previous anti-TB treatment (2 points), poor patient understanding (2 points), intravenous drugs use (IDU) (4 points) or unknown IDU status (1 point). Scores of 0, 1, 2, 3, 4 and 5 points were associated with a lost to follow-up probability of 2,2% 5,4% 9,9%, 16,4%, 15%, and 28%, respectively. The ROC curve for the validation group demonstrated a good fit (AUC: 0,67 [95% CI; 0,65-0,70]). Conclusion This model has a good capacity to predict a lost to follow-up outcome. Its use could help TB Programs to determine which patients are good candidates for DOT and other strategies to improve TB treatment adherence. PMID:22938040

4th Annual Predictive Toxicology Summit 2012.

PubMed

Cui, Zhanfeng

2013-08-01

This meeting report presents a brief summary on the 4th Annual Predictive Toxicology Summit 2012, which was held on 15 - 16 February 2012 in London. The majority of presentations came from global pharmaceutical companies, although small and medium enterprise (SME) and academic researchers were represented too. Major regulatory bodies were also present. The article highlights the summit, which was considered a good learning opportunity to catch up on the recent advances in predictive toxicology. Predictive toxicology has become more and more important due to social and economic pressure and scientific reasons. Technological developments are rapid, but there is a gulf between the technology developers and the pharmaceutical end users; hence, early engagement is desirable. Stem cell-derived cell-based assays as well as three-dimensional in vitro tissue/organ model development are within the reach now, but a lot needs to be done to optimise and validate the developed protocols and products. The field of predictive toxicology needs fundamental research of interdisciplinary nature, which requires much needed trained personnel and funding.

Quantifying confidence in density functional theory predictions of magnetic ground states

NASA Astrophysics Data System (ADS)

Houchins, Gregory; Viswanathan, Venkatasubramanian

2017-10-01

Density functional theory (DFT) simulations, at the generalized gradient approximation (GGA) level, are being routinely used for material discovery based on high-throughput descriptor-based searches. The success of descriptor-based material design relies on eliminating bad candidates and keeping good candidates for further investigation. While DFT has been widely successfully for the former, oftentimes good candidates are lost due to the uncertainty associated with the DFT-predicted material properties. Uncertainty associated with DFT predictions has gained prominence and has led to the development of exchange correlation functionals that have built-in error estimation capability. In this work, we demonstrate the use of built-in error estimation capabilities within the BEEF-vdW exchange correlation functional for quantifying the uncertainty associated with the magnetic ground state of solids. We demonstrate this approach by calculating the uncertainty estimate for the energy difference between the different magnetic states of solids and compare them against a range of GGA exchange correlation functionals as is done in many first-principles calculations of materials. We show that this estimate reasonably bounds the range of values obtained with the different GGA functionals. The estimate is determined as a postprocessing step and thus provides a computationally robust and systematic approach to estimating uncertainty associated with predictions of magnetic ground states. We define a confidence value (c-value) that incorporates all calculated magnetic states in order to quantify the concurrence of the prediction at the GGA level and argue that predictions of magnetic ground states from GGA level DFT is incomplete without an accompanying c-value. We demonstrate the utility of this method using a case study of Li-ion and Na-ion cathode materials and the c-value metric correctly identifies that GGA-level DFT will have low predictability for NaFePO4F . Further, there

Sociosexuality predicts women's preferences for symmetry in men's faces.

PubMed

Quist, Michelle C; Watkins, Christopher D; Smith, Finlay G; Little, Anthony C; Debruine, Lisa M; Jones, Benedict C

2012-12-01

Although men displaying cues of good physical condition possess traits that are desirable in a mate (e.g., good health), these men are also more likely to possess antisocial characteristics that are undesirable in a long-term partner (e.g., aggression and tendency to infidelity). How women resolve this trade-off between the costs and benefits associated with choosing a mate in good physical condition may lead to strategic variation in women's mate preferences. Because the costs of choosing a mate with antisocial personality characteristics are greater in long- than short-term relationships, women's sociosexuality (i.e., the extent to which they are interested in uncommitted sexual relationships) may predict individual differences in their mate preferences. Here we investigated variation in 99 heterosexual women's preferences for facial symmetry, a characteristic that is thought to be an important cue of physical condition. Symmetry preferences were assessed using pairs of symmetrized and original (i.e., relatively asymmetric) versions of 10 male and 10 female faces. Analyses showed that women's sociosexuality, and their sociosexual attitude in particular, predicted their preferences for symmetry in men's, but not women's, faces; women who reported being more interested in short-term, uncommitted relationships demonstrated stronger attraction to symmetric men. Our findings present new evidence for potentially adaptive variation in women's symmetry preferences that is consistent with trade-off theories of attraction.

Predicting the 10-Year Risks of Atherosclerotic Cardiovascular Disease in Chinese Population: The China-PAR Project (Prediction for ASCVD Risk in China).

PubMed

Yang, Xueli; Li, Jianxin; Hu, Dongsheng; Chen, Jichun; Li, Ying; Huang, Jianfeng; Liu, Xiaoqing; Liu, Fangchao; Cao, Jie; Shen, Chong; Yu, Ling; Lu, Fanghong; Wu, Xianping; Zhao, Liancheng; Wu, Xigui; Gu, Dongfeng

2016-11-08

The accurate assessment of individual risk can be of great value to guiding and facilitating the prevention of atherosclerotic cardiovascular disease (ASCVD). However, prediction models in common use were formulated primarily in white populations. The China-PAR project (Prediction for ASCVD Risk in China) is aimed at developing and validating 10-year risk prediction equations for ASCVD from 4 contemporary Chinese cohorts. Two prospective studies followed up together with a unified protocol were used as the derivation cohort to develop 10-year ASCVD risk equations in 21 320 Chinese participants. The external validation was evaluated in 2 independent Chinese cohorts with 14 123 and 70 838 participants. Furthermore, model performance was compared with the Pooled Cohort Equations reported in the American College of Cardiology/American Heart Association guideline. Over 12 years of follow-up in the derivation cohort with 21 320 Chinese participants, 1048 subjects developed a first ASCVD event. Sex-specific equations had C statistics of 0.794 (95% confidence interval, 0.775-0.814) for men and 0.811 (95% confidence interval, 0.787-0.835) for women. The predicted rates were similar to the observed rates, as indicated by a calibration χ 2 of 13.1 for men (P=0.16) and 12.8 for women (P=0.17). Good internal and external validations of our equations were achieved in subsequent analyses. Compared with the Chinese equations, the Pooled Cohort Equations had lower C statistics and much higher calibration χ 2 values in men. Our project developed effective tools with good performance for 10-year ASCVD risk prediction among a Chinese population that will help to improve the primary prevention and management of cardiovascular disease. © 2016 American Heart Association, Inc.

Good is not good enough: the culture of low expectations and the leader's challenge.

PubMed

Kerfoot, Karlene M

2009-01-01

When people believe that what they do is "good enough," excellence will never occur. As the demand for better health care escalates every year, achieving a ranking of very good doesn't count because it leaves many disenfranchised staff, errors, and dissatisfied patients. A leader can not be successful unless the culture of low expectations is eliminated. If there isn't a sense of caring, serving, and being an exemplar of the change, the leader won't succeed in moving the culture. When there is a sense of ownership and commitment to the mission and to patients, the culture of low expectations cannot exist.

Snug as a Bug: Goodness of Fit and Quality of Models.

PubMed

Jupiter, Daniel C

In elucidating risk factors, or attempting to make predictions about the behavior of subjects in our biomedical studies, we often build statistical models. These models are meant to capture some aspect of reality, or some real-world process underlying the phenomena we are examining. However, no model is perfect, and it is thus important to have tools to assess how accurate models are. In this commentary, we delve into the various roles that our models can play. Then we introduce the notion of the goodness of fit of models and lay the ground work for further study of diagnostic tests for assessing both the fidelity of our models and the statistical assumptions underlying them. Copyright © 2017 American College of Foot and Ankle Surgeons. Published by Elsevier Inc. All rights reserved.

[Emergency transcranial doppler ultrasound: predictive value for the development of symptomatic vasospasm in spontaneous subarachnoid hemorrhage in patients in good neurological condition].

PubMed

Muñoz-Sanchez, M A; Murillo-Cabezas, F; Egea-Guerrero, J J; Gascón-Castillo, M L; Cancela, P; Amaya-Villar, R; Rincón-Ferrari, M D; Flores-Cordero, J M; Cayuela, A; García-Alfaro, C

2012-12-01

To examine the predictive value of an early transcranial Doppler ultrasound (TCD) study performed in the emergency department in patients with spontaneous subarachoniod hemorrhage (SAH) in good neurological condition, in order to know which patients are at high risk of developing delayed cerebral ischemia (DCI). A descriptive observational study was carried out involving a period of 3 years. Critical Care and Emergency Department. The study consecutively included patients with SAH of grade I-III on the Hunt and Hess scale. DCI (decrease of 2 points in GCS or focal deficit), Mean Velocity (MV) of middle cerebral arteries (MCA), Lindegaard Index (IL). Sonographic vasospasm pattern (SVP) was considered if MCA-MV>120cm/sc and IL>3. The mean age of the 122 patients was 54.1±13.7 years; 57.3% were women. SVP was detected in 24 patients (19.7%), although high velocities patterns (HVP) were present in 38 patients (31.1%). DCI developed in 21 patients (MV183+/-49cm/sc), all with previous SVP. In this group MV increased 22+/-5cm/sc/day during the first 3 days. The group without HVP (84 patients/MV of 67+/-16.6cm/sc), compared with DCI group, showed differences in highest MV (p<0.001), and also ΔMV/day (8.30+/-4,5cm/sc Vs 22+/-5cm/sc) during the first 3 days (p=0.009). In our series, ROC analysis selected the best cut-off value for ΔMV/day as 21cm/sc (p<0.001). During the first 3 days, an increase of 21cm/s/24h in MCA-MV was associated with the development of symptomatic vasospasm. TCD is a useful tool for the early detection of patients at risk of DCI after SAH. Copyright © 2011 Elsevier España, S.L. and SEMICYUC. All rights reserved.

Evaluation of soft rubber goods. [for use as O-rings, and seals on space shuttle

NASA Technical Reports Server (NTRS)

Merz, P. L.

1974-01-01

The performance of rubber goods suitable for use as O-rings, seals, gaskets, bladders and diaphragms under conditions simulating those of the space shuttle were studied. High reliability throughout the 100 flight missions planned for the space shuttle was considered of overriding importance. Accordingly, in addition to a rank ordering of the selected candidate materials based on prolonged fluid compatibility and sealability behavior, basic rheological parameters (such as cyclic hysteresis, stress relaxation, indicated modulus, etc.) were determined to develop methods capable of predicting the cumulative effect of these multiple reuse cycles.

Prediction of gas-liquid two-phase flow regime in microgravity

NASA Technical Reports Server (NTRS)

Lee, Jinho; Platt, Jonathan A.

1993-01-01

An attempt is made to predict gas-liquid two-phase flow regime in a pipe in a microgravity environment through scaling analysis based on dominant physical mechanisms. Simple inlet geometry is adopted in the analysis to see the effect of inlet configuration on flow regime transitions. Comparison of the prediction with the existing experimental data shows good agreement, though more work is required to better define some physical parameters. The analysis clarifies much of the physics involved in this problem and can be applied to other configurations.

7 CFR 51.612 - Fairly good heart formation.

Code of Federal Regulations, 2013 CFR

2013-01-01

... 7 Agriculture 2 2013-01-01 2013-01-01 false Fairly good heart formation. 51.612 Section 51.612....612 Fairly good heart formation. Fairly good heart formation means that the stalk has a moderate number of fairly stocky inner heart branches for its size. ...

7 CFR 51.612 - Fairly good heart formation.

Code of Federal Regulations, 2014 CFR

2014-01-01

... 7 Agriculture 2 2014-01-01 2014-01-01 false Fairly good heart formation. 51.612 Section 51.612....612 Fairly good heart formation. Fairly good heart formation means that the stalk has a moderate number of fairly stocky inner heart branches for its size. ...

Predictors for good therapeutic outcome and drop-out in technology assisted guided self-help in the treatment of bulimia nervosa and bulimia like phenotype.

PubMed

Wagner, Gudrun; Penelo, Eva; Nobis, Gerald; Mayrhofer, Anna; Wanner, Christian; Schau, Johanna; Spitzer, Marion; Gwinner, Paulina; Trofaier, Marie-Louise; Imgart, Hartmut; Fernandez-Aranda, Fernando; Karwautz, Andreas

2015-03-01

Technology assisted guided self-help has been proven to be effective in the treatment of bulimia nervosa (BN). The aim of this study was to determine predictors of good long-term outcome as well as drop-out, in order to identify patients for whom these interventions are most suitable. One hundred and fifty six patients with BN were assigned to either 7 months internet-based guided self-help (INT-GSH) or to conventional guided bibliotherapy (BIB-GSH), both guided by e-mail support. Evaluations were taken at baseline, after 4, 7, and 18 months. As potential predictors, psychiatric comorbidity, personality features, and eating disorder psychopathology were considered. Higher motivation, lower frequency of binge eating, and lower body dissatisfaction at baseline predicted good outcome after the end of treatment. Lower frequency of binge eating predicted good outcome at long-term follow-up. Factors prediciting drop-out were higher depression and lower self-directedness at baseline. Technology assisted self-help can be recommended for patients with a high motivation to change, lower binge-eating frequency and lower depression scores. Copyright © 2014 John Wiley & Sons, Ltd and Eating Disorders Association.

Paleolithic Counseling - The Good Old Days.

ERIC Educational Resources Information Center

King, Paul T.

This paper outlines what clients were like in the "Good Ol' Days", as compared with what they are like now. Formerly clients appeared to come in with a plethora of ego energy, while now it seems more like a depletion. Explicit in our culture now is the idea that it is almost healthy and good to publicize one's private experience. Some of…

ClusPro: an automated docking and discrimination method for the prediction of protein complexes.

PubMed

Comeau, Stephen R; Gatchell, David W; Vajda, Sandor; Camacho, Carlos J

2004-01-01

Predicting protein interactions is one of the most challenging problems in functional genomics. Given two proteins known to interact, current docking methods evaluate billions of docked conformations by simple scoring functions, and in addition to near-native structures yield many false positives, i.e. structures with good surface complementarity but far from the native. We have developed a fast algorithm for filtering docked conformations with good surface complementarity, and ranking them based on their clustering properties. The free energy filters select complexes with lowest desolvation and electrostatic energies. Clustering is then used to smooth the local minima and to select the ones with the broadest energy wells-a property associated with the free energy at the binding site. The robustness of the method was tested on sets of 2000 docked conformations generated for 48 pairs of interacting proteins. In 31 of these cases, the top 10 predictions include at least one near-native complex, with an average RMSD of 5 A from the native structure. The docking and discrimination method also provides good results for a number of complexes that were used as targets in the Critical Assessment of PRedictions of Interactions experiment. The fully automated docking and discrimination server ClusPro can be found at http://structure.bu.edu

[Acquired hypogammaglobulinemia associated with thymoma: Good syndrome].

PubMed

Aouadi, Samira; Ghrairi, Najla; Braham, Emna; Kaabi, Manel; Maâlej, Sonia; Elgharbi, Leila Douik

2017-01-01

Good syndrome (GS) is defined as the association between thymoma and immune deficiency. It is often complicated by broncho-pulmonary bacterial infections and rhinosinusitis. This disease accounts for only 5% of all parathymic syndromes. These recurrent respiratory infections can cause bronchiectasis associated with Good syndrome. We report the case of a 52-year old woman hospitalized for non resolutive infectious pneumonitis. Chest CT scan showed bronchiectasis associated with thymoma confirmed by biopsy. The discovery of hypogammaglobulinemia allowed the diagnosis of Good syndrome.

An unsupervised classification scheme for improving predictions of prokaryotic TIS.

PubMed

Tech, Maike; Meinicke, Peter

2006-03-09

Although it is not difficult for state-of-the-art gene finders to identify coding regions in prokaryotic genomes, exact prediction of the corresponding translation initiation sites (TIS) is still a challenging problem. Recently a number of post-processing tools have been proposed for improving the annotation of prokaryotic TIS. However, inherent difficulties of these approaches arise from the considerable variation of TIS characteristics across different species. Therefore prior assumptions about the properties of prokaryotic gene starts may cause suboptimal predictions for newly sequenced genomes with TIS signals differing from those of well-investigated genomes. We introduce a clustering algorithm for completely unsupervised scoring of potential TIS, based on positionally smoothed probability matrices. The algorithm requires an initial gene prediction and the genomic sequence of the organism to perform the reannotation. As compared with other methods for improving predictions of gene starts in bacterial genomes, our approach is not based on any specific assumptions about prokaryotic TIS. Despite the generality of the underlying algorithm, the prediction rate of our method is competitive on experimentally verified test data from E. coli and B. subtilis. Regarding genomes with high G+C content, in contrast to some previously proposed methods, our algorithm also provides good performance on P. aeruginosa, B. pseudomallei and R. solanacearum. On reliable test data we showed that our method provides good results in post-processing the predictions of the widely-used program GLIMMER. The underlying clustering algorithm is robust with respect to variations in the initial TIS annotation and does not require specific assumptions about prokaryotic gene starts. These features are particularly useful on genomes with high G+C content. The algorithm has been implemented in the tool "TICO" (TIs COrrector) which is publicly available from our web site.

21 CFR 110.5 - Current good manufacturing practice.

Code of Federal Regulations, 2010 CFR

2010-04-01

... 21 Food and Drugs 2 2010-04-01 2010-04-01 false Current good manufacturing practice. 110.5 Section...) FOOD FOR HUMAN CONSUMPTION CURRENT GOOD MANUFACTURING PRACTICE IN MANUFACTURING, PACKING, OR HOLDING HUMAN FOOD General Provisions § 110.5 Current good manufacturing practice. (a) The criteria and...

5 CFR 831.1403 - Equity and good conscience.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 5 Administrative Personnel 2 2010-01-01 2010-01-01 false Equity and good conscience. 831.1403... REGULATIONS (CONTINUED) RETIREMENT Standards for Waiver of Overpayments § 831.1403 Equity and good conscience. (a) Defined. Recovery is against equity and good conscience when— (1) It would cause financial...

31 CFR 585.413 - Imports of goods originating in the FRY (S&M), and purchases of goods from the FRY (S&M).

Code of Federal Regulations, 2010 CFR

2010-07-01

... FRY (S&M), and purchases of goods from the FRY (S&M). 585.413 Section 585.413 Money and Finance... of goods originating in the FRY (S&M), and purchases of goods from the FRY (S&M). Goods originating in the FRY (S&M) imported into the United States pursuant to an authorization or license are not...

Virtual goods recommendations in virtual worlds.

PubMed

Chen, Kuan-Yu; Liao, Hsiu-Yu; Chen, Jyun-Hung; Liu, Duen-Ren

2015-01-01

Virtual worlds (VWs) are computer-simulated environments which allow users to create their own virtual character as an avatar. With the rapidly growing user volume in VWs, platform providers launch virtual goods in haste and stampede users to increase sales revenue. However, the rapidity of development incurs virtual unrelated items which will be difficult to remarket. It not only wastes virtual global companies' intelligence resources, but also makes it difficult for users to find suitable virtual goods fit for their virtual home in daily virtual life. In the VWs, users decorate their houses, visit others' homes, create families, host parties, and so forth. Users establish their social life circles through these activities. This research proposes a novel virtual goods recommendation method based on these social interactions. The contact strength and contact influence result from interactions with social neighbors and influence users' buying intention. Our research highlights the importance of social interactions in virtual goods recommendation. The experiment's data were retrieved from an online VW platform, and the results show that the proposed method, considering social interactions and social life circle, has better performance than existing recommendation methods.

Virtual Goods Recommendations in Virtual Worlds

PubMed Central

Chen, Kuan-Yu; Liao, Hsiu-Yu; Chen, Jyun-Hung; Liu, Duen-Ren

2015-01-01

Virtual worlds (VWs) are computer-simulated environments which allow users to create their own virtual character as an avatar. With the rapidly growing user volume in VWs, platform providers launch virtual goods in haste and stampede users to increase sales revenue. However, the rapidity of development incurs virtual unrelated items which will be difficult to remarket. It not only wastes virtual global companies' intelligence resources, but also makes it difficult for users to find suitable virtual goods fit for their virtual home in daily virtual life. In the VWs, users decorate their houses, visit others' homes, create families, host parties, and so forth. Users establish their social life circles through these activities. This research proposes a novel virtual goods recommendation method based on these social interactions. The contact strength and contact influence result from interactions with social neighbors and influence users' buying intention. Our research highlights the importance of social interactions in virtual goods recommendation. The experiment's data were retrieved from an online VW platform, and the results show that the proposed method, considering social interactions and social life circle, has better performance than existing recommendation methods. PMID:25834837

Prediction uncertainty and optimal experimental design for learning dynamical systems.

PubMed

Letham, Benjamin; Letham, Portia A; Rudin, Cynthia; Browne, Edward P

2016-06-01

Dynamical systems are frequently used to model biological systems. When these models are fit to data, it is necessary to ascertain the uncertainty in the model fit. Here, we present prediction deviation, a metric of uncertainty that determines the extent to which observed data have constrained the model's predictions. This is accomplished by solving an optimization problem that searches for a pair of models that each provides a good fit for the observed data, yet has maximally different predictions. We develop a method for estimating a priori the impact that additional experiments would have on the prediction deviation, allowing the experimenter to design a set of experiments that would most reduce uncertainty. We use prediction deviation to assess uncertainty in a model of interferon-alpha inhibition of viral infection, and to select a sequence of experiments that reduces this uncertainty. Finally, we prove a theoretical result which shows that prediction deviation provides bounds on the trajectories of the underlying true model. These results show that prediction deviation is a meaningful metric of uncertainty that can be used for optimal experimental design.

A good preoperative response to transcutaneous electrical nerve stimulation predicts a better therapeutic effect of implanted occipital nerve stimulation in pharmacologically intractable headaches.

PubMed

Nguyen, Jean-Paul; Nizard, Julien; Kuhn, Emmanuelle; Carduner, Florence; Penverne, Frédérique; Verleysen-Robin, Marie-Christine; Terreaux, Luc; de Gaalon, Solène; Raoul, Sylvie; Lefaucheur, Jean-Pascal

2016-02-01

Occipital nerve stimulation (ONS) is a surgical approach to treat patients with medically intractable chronic headache disorders. However, no preoperative test has been yet validated to allow candidates to be selected for implantation. In this study, the analgesic efficacy of transcutaneous electrical nerve stimulation (TENS) was tested for 1 to 3 months in 41 patients with pharmacologically intractable headache disorders of various origins, using a new technique of electrode placement over the occipital nerve. ONS electrodes were subsequently implanted in 33 patients (occipital neuralgia [n=15], cervicogenic headache [n=7], cluster headache [n=6], chronic migraine [n=5]) who had responded at least moderately to TENS. Assessment was performed up to five years after implantation (three years on average), based on the mean and maximum daily pain intensity scored on a 0-10 visual analogue scale and the number of headache days per month. Both TENS and chronic ONS therapy were found to be efficacious (57-76% improvement compared to baseline on the various clinical variables). The efficacy of ONS was better in cases of good or very good preoperative response to TENS than in cases of moderate response to TENS. Implanted ONS may be a valuable therapeutic option in the long term for patients with pharmacologically intractable chronic headache. Although we cannot conclude in patients with poor or no response to TENS, a good or very good response to TENS can support the indication of ONS therapy. This preoperative test could particularly be useful in patients with chronic migraine, in whom it may be difficult to indicate an invasive technique of cranial neurostimulation. Copyright © 2016 Elsevier Masson SAS. All rights reserved.

Should biodiversity and nature have to earn their keep? What it really means to bring environmental goods into the marketplace.

PubMed

Maier, Donald S

2018-05-01

Pursuit of economic gain has sponsored much of our planet's despoliation. Yet conservation increasingly operates as an economic sector that markets biodiversity, ecosystems, and nature as natural capital, service provider, or option value. This essay first elucidates what basic moral theory says about the principle that the goodness of biodiversity and nature is largely economic. It explains why economic valuations may be morally unimportant, inapt for environmental goods, and subversive of more important ideals. It also shows why neither econometric notions of option value nor Daniel Faith's qualitative one credibly applies. The essay then turns to what an economic conception of goodness implies for conservation practice. It refers to two prominent conservation organizations, whose conservation principles match the market-based ones of the World Business Council on Sustainable Development's. The environmental record of the latter organization's practices according to these principles predicts what their adoption for conservation entails.

Integrity and virtue: The forming of good character

PubMed Central

Mitchell, Louise A.

2015-01-01

Moral character is formed by one's actions. The habits, actions, and emotional responses of the person of good character all are united and directed toward the moral and the good. Because human beings are body/soul unities, actions of the body are actions of the self, that is, human beings are self-possessing, self-governing, and self-determining. In order to be of good character, one must know the good, act in morally good ways, and be disposed and inclined toward the good through the development of virtues. Character and action are intertwined so intimately that one's professional duties, or even what is perceived by others as one's duties, cannot override one's conscience without negatively affecting (and changing) one's character. For the physician to be of good character, it is vital that he or she follow his or her conscience in all things: in private life and also in his or her profession, i.e., in the treatment of patients. Lay summary: Character cannot be separated from the person. To be of good character means that one’s habits, actions, and emotional responses all are united and directed toward the moral and the good. In this, public actions cannot be separated from private actions. Both sets of actions affect one’s character. For example, a physician believes use of contraceptives to be immoral yet prescribes them in the office because he or she feels a duty to provide what the patient asks for, or a pharmacist who believes abortion to be immoral fills prescriptions for the abortifacient RU-486. These public acts affect one’s character even if one’s private belief is the opposite of the action. They leave traces on one’s character. Not only do actions reflect the goodness or badness of one’s character, one’s actions also change one’s character. The more one does an immoral action or recommends an immoral action for others, the more it becomes part of one’s character to be the type of person who condones that immoral action. In order to

When It Is Bad to Be Too Good.

ERIC Educational Resources Information Center

Cappon, Daniel

1980-01-01

Excessive "too-goodness" in a child can lead to obsessive neuroses which result in compulsions or ruminations. The only effective treatment is early prevention, culturally, socially, and behaviorally. Children must understand that all excesses are bad. Being bad is sometimes good. Being too good can be unhealthy. (Author/BEF)

The role of public goods in planetary evolution

NASA Astrophysics Data System (ADS)

McInerney, James O.; Erwin, Douglas H.

2017-11-01

Biological public goods are broadly shared within an ecosystem and readily available. They appear to be widespread and may have played important roles in the history of life on Earth. Of particular importance to events in the early history of life are the roles of public goods in the merging of genomes, protein domains and even cells. We suggest that public goods facilitated the origin of the eukaryotic cell, a classic major evolutionary transition. The recognition of genomic public goods challenges advocates of a direct graph view of phylogeny, and those who deny that any useful phylogenetic signal persists in modern genomes. Ecological spillovers generate public goods that provide new ecological opportunities. This article is part of the themed issue 'Reconceptualizing the origins of life'.

Application of transit data analysis and artificial neural network in the prediction of discharge of Lor River, NW Spain.

PubMed

Astray, G; Soto, B; Lopez, D; Iglesias, M A; Mejuto, J C

2016-01-01

Transit data analysis and artificial neural networks (ANNs) have proven to be a useful tool for characterizing and modelling non-linear hydrological processes. In this paper, these methods have been used to characterize and to predict the discharge of Lor River (North Western Spain), 1, 2 and 3 days ahead. Transit data analyses show a coefficient of correlation of 0.53 for a lag between precipitation and discharge of 1 day. On the other hand, temperature and discharge has a negative coefficient of correlation (-0.43) for a delay of 19 days. The ANNs developed provide a good result for the validation period, with R(2) between 0.92 and 0.80. Furthermore, these prediction models have been tested with discharge data from a period 16 years later. Results of this testing period also show a good correlation, with R(2) between 0.91 and 0.64. Overall, results indicate that ANNs are a good tool to predict river discharge with a small number of input variables.

The application of improved neural network in hydrocarbon reservoir prediction

NASA Astrophysics Data System (ADS)

Peng, Xiaobo

2013-03-01

This paper use BP neural network techniques to realize hydrocarbon reservoir predication easier and faster in tarim basin in oil wells. A grey - cascade neural network model is proposed and it is faster convergence speed and low error rate. The new method overcomes the shortcomings of traditional BP neural network convergence slow, easy to achieve extreme minimum value. This study had 220 sets of measured logging data to the sample data training mode. By changing the neuron number and types of the transfer function of hidden layers, the best work prediction model is analyzed. The conclusion is the model which can produce good prediction results in general, and can be used for hydrocarbon reservoir prediction.

Predicting DPP-IV inhibitors with machine learning approaches

NASA Astrophysics Data System (ADS)

Cai, Jie; Li, Chanjuan; Liu, Zhihong; Du, Jiewen; Ye, Jiming; Gu, Qiong; Xu, Jun

2017-04-01

Dipeptidyl peptidase IV (DPP-IV) is a promising Type 2 diabetes mellitus (T2DM) drug target. DPP-IV inhibitors prolong the action of glucagon-like peptide-1 (GLP-1) and gastric inhibitory peptide (GIP), improve glucose homeostasis without weight gain, edema, and hypoglycemia. However, the marketed DPP-IV inhibitors have adverse effects such as nasopharyngitis, headache, nausea, hypersensitivity, skin reactions and pancreatitis. Therefore, it is still expected for novel DPP-IV inhibitors with minimal adverse effects. The scaffolds of existing DPP-IV inhibitors are structurally diversified. This makes it difficult to build virtual screening models based upon the known DPP-IV inhibitor libraries using conventional QSAR approaches. In this paper, we report a new strategy to predict DPP-IV inhibitors with machine learning approaches involving naïve Bayesian (NB) and recursive partitioning (RP) methods. We built 247 machine learning models based on 1307 known DPP-IV inhibitors with optimized molecular properties and topological fingerprints as descriptors. The overall predictive accuracies of the optimized models were greater than 80%. An external test set, composed of 65 recently reported compounds, was employed to validate the optimized models. The results demonstrated that both NB and RP models have a good predictive ability based on different combinations of descriptors. Twenty "good" and twenty "bad" structural fragments for DPP-IV inhibitors can also be derived from these models for inspiring the new DPP-IV inhibitor scaffold design.

[Predictive model based multimetric index of macroinvertebrates for river health assessment].

PubMed

Chen, Kai; Yu, Hai Yan; Zhang, Ji Wei; Wang, Bei Xin; Chen, Qiu Wen

2017-06-18

Improving the stability of integrity of biotic index (IBI; i.e., multi-metric indices, MMI) across temporal and spatial scales is one of the most important issues in water ecosystem integrity bioassessment and water environment management. Using datasets of field-based macroinvertebrate and physicochemical variables and GIS-based natural predictors (e.g., geomorphology and climate) and land use variables collected at 227 river sites from 2004 to 2011 across the Zhejiang Province, China, we used random forests (RF) to adjust the effects of natural variations at temporal and spatial scales on macroinvertebrate metrics. We then developed natural variations adjusted (predictive) and unadjusted (null) MMIs and compared performance between them. The core me-trics selected for predictive and null MMIs were different from each other, and natural variations within core metrics in predictive MMI explained by RF models ranged between 11.4% and 61.2%. The predictive MMI was more precise and accurate, but less responsive and sensitive than null MMI. The multivariate nearest-neighbor test determined that 9 test sites and 1 most degraded site were flagged outside of the environmental space of the reference site network. We found that combination of predictive MMI developed by using predictive model and the nearest-neighbor test performed best and decreased risks of inferring type I (designating a water body as being in poor biological condition, when it was actually in good condition) and type II (designating a water body as being in good biological condition, when it was actually in poor condition) errors. Our results provided an effective method to improve the stability and performance of integrity of biotic index.

7 CFR 28.411 - Good Middling Light Spotted Color.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 7 Agriculture 2 2010-01-01 2010-01-01 false Good Middling Light Spotted Color. 28.411 Section 28... Light Spotted Color. Good Middling Light Spotted Color is color which in spot or color, or both, is between Good Middling Color and Good Middling Spotted Color. ...

28 CFR 523.13 - Community corrections center good time.

Code of Federal Regulations, 2011 CFR

2011-07-01

... ADMISSION, CLASSIFICATION, AND TRANSFER COMPUTATION OF SENTENCE Extra Good Time § 523.13 Community corrections center good time. Extra good time for an inmate in a Federal or contract Community Corrections... 28 Judicial Administration 2 2011-07-01 2011-07-01 false Community corrections center good time...

28 CFR 523.13 - Community corrections center good time.

Code of Federal Regulations, 2010 CFR

2010-07-01

... ADMISSION, CLASSIFICATION, AND TRANSFER COMPUTATION OF SENTENCE Extra Good Time § 523.13 Community corrections center good time. Extra good time for an inmate in a Federal or contract Community Corrections... 28 Judicial Administration 2 2010-07-01 2010-07-01 false Community corrections center good time...

28 CFR 523.13 - Community corrections center good time.

Code of Federal Regulations, 2014 CFR

2014-07-01

... ADMISSION, CLASSIFICATION, AND TRANSFER COMPUTATION OF SENTENCE Extra Good Time § 523.13 Community corrections center good time. Extra good time for an inmate in a Federal or contract Community Corrections... 28 Judicial Administration 2 2014-07-01 2014-07-01 false Community corrections center good time...

28 CFR 523.13 - Community corrections center good time.

Code of Federal Regulations, 2012 CFR

2012-07-01

... ADMISSION, CLASSIFICATION, AND TRANSFER COMPUTATION OF SENTENCE Extra Good Time § 523.13 Community corrections center good time. Extra good time for an inmate in a Federal or contract Community Corrections... 28 Judicial Administration 2 2012-07-01 2012-07-01 false Community corrections center good time...

28 CFR 523.13 - Community corrections center good time.

Code of Federal Regulations, 2013 CFR

2013-07-01

... ADMISSION, CLASSIFICATION, AND TRANSFER COMPUTATION OF SENTENCE Extra Good Time § 523.13 Community corrections center good time. Extra good time for an inmate in a Federal or contract Community Corrections... 28 Judicial Administration 2 2013-07-01 2013-07-01 false Community corrections center good time...

Prediction of N-nitrosodimethylamine (NDMA) formation as a disinfection by-product.

PubMed

Kim, Jongo; Clevenger, Thomas E

2007-06-25

This study investigated the possibility of a statistical model application for the prediction of N-nitrosodimethylamine (NDMA) formation. The NDMA formation was studied as a function of monochloramine concentration (0.001-5mM) at fixed dimethylamine (DMA) concentrations of 0.01mM or 0.05mM. Excellent linear correlations were observed between the molar ratio of monochloramine to DMA and the NDMA formation on a log scale at pH 7 and 8. When a developed prediction equation was applied to a previously reported study, a good result was obtained. The statistical model appears to predict adequately NDMA concentrations if other NDMA precursors are excluded. Using the predictive tool, a simple and approximate calculation of NDMA formation can be obtained in drinking water systems.

Comparative analysis on the probability of being a good payer

NASA Astrophysics Data System (ADS)

Mihova, V.; Pavlov, V.

2017-10-01

Credit risk assessment is crucial for the bank industry. The current practice uses various approaches for the calculation of credit risk. The core of these approaches is the use of multiple regression models, applied in order to assess the risk associated with the approval of people applying for certain products (loans, credit cards, etc.). Based on data from the past, these models try to predict what will happen in the future. Different data requires different type of models. This work studies the causal link between the conduct of an applicant upon payment of the loan and the data that he completed at the time of application. A database of 100 borrowers from a commercial bank is used for the purposes of the study. The available data includes information from the time of application and credit history while paying off the loan. Customers are divided into two groups, based on the credit history: Good and Bad payers. Linear and logistic regression are applied in parallel to the data in order to estimate the probability of being good for new borrowers. A variable, which contains value of 1 for Good borrowers and value of 0 for Bad candidates, is modeled as a dependent variable. To decide which of the variables listed in the database should be used in the modelling process (as independent variables), a correlation analysis is made. Due to the results of it, several combinations of independent variables are tested as initial models - both with linear and logistic regression. The best linear and logistic models are obtained after initial transformation of the data and following a set of standard and robust statistical criteria. A comparative analysis between the two final models is made and scorecards are obtained from both models to assess new customers at the time of application. A cut-off level of points, bellow which to reject the applications and above it - to accept them, has been suggested for both the models, applying the strategy to keep the same Accept Rate as

21 CFR 225.1 - Current good manufacturing practice.

Code of Federal Regulations, 2010 CFR

2010-04-01

... 21 Food and Drugs 4 2010-04-01 2010-04-01 false Current good manufacturing practice. 225.1 Section...) DRUGS: GENERAL CURRENT GOOD MANUFACTURING PRACTICE FOR MEDICATED FEEDS General Provisions § 225.1 Current good manufacturing practice. (a) Section 501(a)(2)(B) of the Federal Food, Drug, and Cosmetic Act...

21 CFR 226.1 - Current good manufacturing practice.

Code of Federal Regulations, 2010 CFR

2010-04-01

... 21 Food and Drugs 4 2010-04-01 2010-04-01 false Current good manufacturing practice. 226.1 Section...) DRUGS: GENERAL CURRENT GOOD MANUFACTURING PRACTICE FOR TYPE A MEDICATED ARTICLES General Provisions § 226.1 Current good manufacturing practice. (a) The criteria in §§ 226.10 through 226.115, inclusive...

7 CFR 51.612 - Fairly good heart formation.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 7 Agriculture 2 2010-01-01 2010-01-01 false Fairly good heart formation. 51.612 Section 51.612... STANDARDS) United States Consumer Standards for Celery Stalks Definitions § 51.612 Fairly good heart formation. Fairly good heart formation means that the stalk has a moderate number of fairly stocky inner...

7 CFR 51.612 - Fairly good heart formation.

Code of Federal Regulations, 2011 CFR

2011-01-01

... 7 Agriculture 2 2011-01-01 2011-01-01 false Fairly good heart formation. 51.612 Section 51.612... STANDARDS) United States Consumer Standards for Celery Stalks Definitions § 51.612 Fairly good heart formation. Fairly good heart formation means that the stalk has a moderate number of fairly stocky inner...

7 CFR 51.612 - Fairly good heart formation.

Code of Federal Regulations, 2012 CFR

2012-01-01

... 7 Agriculture 2 2012-01-01 2012-01-01 false Fairly good heart formation. 51.612 Section 51.612... STANDARDS) United States Consumer Standards for Celery Stalks Definitions § 51.612 Fairly good heart formation. Fairly good heart formation means that the stalk has a moderate number of fairly stocky inner...

5 CFR 845.303 - Equity and good conscience.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 5 Administrative Personnel 2 2010-01-01 2010-01-01 false Equity and good conscience. 845.303... Overpayments § 845.303 Equity and good conscience. Recovery is against equity and good conscience when— (a) It... right or has changed positions for the worse; or (c) Recovery would be unconscionable under the...

Why do Reservoir Computing Networks Predict Chaotic Systems so Well?

NASA Astrophysics Data System (ADS)

Lu, Zhixin; Pathak, Jaideep; Girvan, Michelle; Hunt, Brian; Ott, Edward

Recently a new type of artificial neural network, which is called a reservoir computing network (RCN), has been employed to predict the evolution of chaotic dynamical systems from measured data and without a priori knowledge of the governing equations of the system. The quality of these predictions has been found to be spectacularly good. Here, we present a dynamical-system-based theory for how RCN works. Basically a RCN is thought of as consisting of three parts, a randomly chosen input layer, a randomly chosen recurrent network (the reservoir), and an output layer. The advantage of the RCN framework is that training is done only on the linear output layer, making it computationally feasible for the reservoir dimensionality to be large. In this presentation, we address the underlying dynamical mechanisms of RCN function by employing the concepts of generalized synchronization and conditional Lyapunov exponents. Using this framework, we propose conditions on reservoir dynamics necessary for good prediction performance. By looking at the RCN from this dynamical systems point of view, we gain a deeper understanding of its surprising computational power, as well as insights on how to design a RCN. Supported by Army Research Office Grant Number W911NF1210101.

Neutrino flux predictions for the NuMI beam

DOE PAGES

Aliaga, L.; Kordosky, M.; Golan, T.; ...

2016-11-29

Knowledge of the neutrino flux produced by the Neutrinos at the Main Injector (NuMI) beamline is essential to the neutrino oscillation and neutrino interaction measurements of the MINERvA, MINOS+, NOvA and MicroBooNE experiments at Fermi National Accelerator Laboratory. We have produced a flux prediction which uses all available and relevant hadron production data, incorporating measurements of particle production off of thin targets as well as measurements of particle yields from a spare NuMI target exposed to a 120 GeV proton beam. The result is the most precise flux prediction achieved for a neutrino beam in the one to tens of GeVmore » energy region. Lastly, we have also compared the prediction to in situ measurements of the neutrino flux and find good agreement.« less

Selecting the minimum prediction base of historical data to perform 5-year predictions of the cancer burden: The GoF-optimal method.

PubMed

Valls, Joan; Castellà, Gerard; Dyba, Tadeusz; Clèries, Ramon

2015-06-01

Predicting the future burden of cancer is a key issue for health services planning, where a method for selecting the predictive model and the prediction base is a challenge. A method, named here Goodness-of-Fit optimal (GoF-optimal), is presented to determine the minimum prediction base of historical data to perform 5-year predictions of the number of new cancer cases or deaths. An empirical ex-post evaluation exercise for cancer mortality data in Spain and cancer incidence in Finland using simple linear and log-linear Poisson models was performed. Prediction bases were considered within the time periods 1951-2006 in Spain and 1975-2007 in Finland, and then predictions were made for 37 and 33 single years in these periods, respectively. The performance of three fixed different prediction bases (last 5, 10, and 20 years of historical data) was compared to that of the prediction base determined by the GoF-optimal method. The coverage (COV) of the 95% prediction interval and the discrepancy ratio (DR) were calculated to assess the success of the prediction. The results showed that (i) models using the prediction base selected through GoF-optimal method reached the highest COV and the lowest DR and (ii) the best alternative strategy to GoF-optimal was the one using the base of prediction of 5-years. The GoF-optimal approach can be used as a selection criterion in order to find an adequate base of prediction. Copyright © 2015 Elsevier Ltd. All rights reserved.

Static and transient performance prediction for CFB boilers using a Bayesian-Gaussian Neural Network

NASA Astrophysics Data System (ADS)

Ye, Haiwen; Ni, Weidou

1997-06-01

A Bayesian-Gaussian Neural Network (BGNN) is put forward in this paper to predict the static and transient performance of Circulating Fluidized Bed (CFB) boilers. The advantages of this network over Back-Propagation Neural Networks (BPNNs), easier determination of topology, simpler and time saving in training process as well as self-organizing ability, make this network more practical in on-line performance prediction for complicated processes. Simulation shows that this network is comparable to the BPNNs in predicting the performance of CFB boilers. Good and practical on-line performance predictions are essential for operation guide and model predictive control of CFB boilers, which are under research by the authors.

29 CFR 790.15 - “Good faith.”

Code of Federal Regulations, 2012 CFR

2012-07-01

... Relating to Labor (Continued) WAGE AND HOUR DIVISION, DEPARTMENT OF LABOR STATEMENTS OF GENERAL POLICY OR... OF 1947 ON THE FAIR LABOR STANDARDS ACT OF 1938 Defense of Good Faith Reliance on Administrative..., were in good faith. The legislative history of the Portal Act makes it clear that the employer's “good...

29 CFR 790.15 - “Good faith.”

Code of Federal Regulations, 2014 CFR

2014-07-01

... Relating to Labor (Continued) WAGE AND HOUR DIVISION, DEPARTMENT OF LABOR STATEMENTS OF GENERAL POLICY OR... OF 1947 ON THE FAIR LABOR STANDARDS ACT OF 1938 Defense of Good Faith Reliance on Administrative..., were in good faith. The legislative history of the Portal Act makes it clear that the employer's “good...

31 CFR 29.523 - Equity and good conscience.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 31 Money and Finance: Treasury 1 2010-07-01 2010-07-01 false Equity and good conscience. 29.523... Standards for Waiver of Overpayments § 29.523 Equity and good conscience. Recovery is against equity and good conscience when there is substantial evidence that— (a) It would cause financial hardship to the...

[Ideas about a "good death" in Palliative Care Nursing].

PubMed

Steffen-Bürgi, Barbara

2009-10-01

In the modern hospice movement and in Palliative Care, helping severely ill and dying patients to have a "good end of life" and a "good death" has high priority. The concept of a "good death" reflects the corresponding ideal of a "good dying". This concept analy-sis aimed at clarifying the current understanding of the characteristics of a "good death" as well as at presenting a coherent theoretical and ideational basis. The meaning of an ideal death as a point of reference and leitmotif in structuring palliative and hospice care, the theoretical background, and the components of a "good death" will be described in this article.

Prediction of Response to Preoperative Chemoradiotherapy in Rectal Cancer by Multiplex Kinase Activity Profiling

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

Folkvord, Sigurd; Flatmark, Kjersti; Department of Cancer and Surgery, Norwegian Radium Hospital, Oslo University Hospital

2010-10-01

Purpose: Tumor response of rectal cancer to preoperative chemoradiotherapy (CRT) varies considerably. In experimental tumor models and clinical radiotherapy, activity of particular subsets of kinase signaling pathways seems to predict radiation response. This study aimed to determine whether tumor kinase activity profiles might predict tumor response to preoperative CRT in locally advanced rectal cancer (LARC). Methods and Materials: Sixty-seven LARC patients were treated with a CRT regimen consisting of radiotherapy, fluorouracil, and, where possible, oxaliplatin. Pretreatment tumor biopsy specimens were analyzed using microarrays with kinase substrates, and the resulting substrate phosphorylation patterns were correlated with tumor response to preoperative treatmentmore » as assessed by histomorphologic tumor regression grade (TRG). A predictive model for TRG scores from phosphosubstrate signatures was obtained by partial-least-squares discriminant analysis. Prediction performance was evaluated by leave-one-out cross-validation and use of an independent test set. Results: In the patient population, 73% and 15% were scored as good responders (TRG 1-2) or intermediate responders (TRG 3), whereas 12% were assessed as poor responders (TRG 4-5). In a subset of 7 poor responders and 12 good responders, treatment outcome was correctly predicted for 95%. Application of the prediction model on the remaining patient samples resulted in correct prediction for 85%. Phosphosubstrate signatures generated by poor-responding tumors indicated high kinase activity, which was inhibited by the kinase inhibitor sunitinib, and several discriminating phosphosubstrates represented proteins derived from signaling pathways implicated in radioresistance. Conclusions: Multiplex kinase activity profiling may identify functional biomarkers predictive of tumor response to preoperative CRT in LARC.« less

Ecology and the Good

ERIC Educational Resources Information Center

Gustafson, James W.

1971-01-01

Our value system relating to the natural sciences is examined for its acceptability and worthiness. Scrutinized are the cognitive meanings about values, validity of values, subjective and cultural relativism, the good of objective realities, and cooperation with natural forces and God. (BL)

Evaluation of CROES Nephrolithometry Nomogram as a Preoperative Predictive System for Percutaneous Nephrolithotomy Outcomes.

PubMed

Kumar, Sumit; Sreenivas, Jayaram; Karthikeyan, Vilvapathy Senguttuvan; Mallya, Ashwin; Keshavamurthy, Ramaiah

2016-10-01

Scoring systems have been devised to predict outcomes of percutaneous nephrolithotomy (PCNL). CROES nephrolithometry nomogram (CNN) is the latest tool devised to predict stone-free rate (SFR). We aim to compare predictive accuracy of CNN against Guy stone score (GSS) for SFR and postoperative outcomes. Between January 2013 and December 2015, 313 patients undergoing PCNL were analyzed for predictive accuracy of GSS, CNN, and stone burden (SB) for SFR, complications, operation time (OT), and length of hospitalization (LOH). We further stratified patients into risk groups based on CNN and GSS. Mean ± standard deviation (SD) SB was 298.8 ± 235.75 mm 2 . SB, GSS, and CNN (area under curve [AUC]: 0.662, 0.660, 0.673) were found to be predictors of SFR. However, predictability for complications was not as good (AUC: SB 0.583, GSS 0.554, CNN 0.580). Single implicated calix (Adj. OR 3.644; p = 0.027), absence of staghorn calculus (Adj. OR 3.091; p = 0.044), single stone (Adj. OR 3.855; p = 0.002), and single puncture (Adj. OR 2.309; p = 0.048) significantly predicted SFR on multivariate analysis. Charlson comorbidity index (CCI; p = 0.020) and staghorn calculus (p = 0.002) were independent predictors for complications on linear regression. SB and GSS independently predicted OT on multivariate analysis. SB and complications significantly predicted LOH, while GSS and CNN did not predict LOH. CNN offered better risk stratification for residual stones than GSS. CNN and GSS have good preoperative predictive accuracy for SFR. Number of implicated calices may affect SFR, and CCI affects complications. Studies should incorporate these factors in scoring systems and assess if predictability of PCNL outcomes improves.

Universal predictability of mobility patterns in cities

PubMed Central

Yan, Xiao-Yong; Zhao, Chen; Fan, Ying; Di, Zengru; Wang, Wen-Xu

2014-01-01

Despite the long history of modelling human mobility, we continue to lack a highly accurate approach with low data requirements for predicting mobility patterns in cities. Here, we present a population-weighted opportunities model without any adjustable parameters to capture the underlying driving force accounting for human mobility patterns at the city scale. We use various mobility data collected from a number of cities with different characteristics to demonstrate the predictive power of our model. We find that insofar as the spatial distribution of population is available, our model offers universal prediction of mobility patterns in good agreement with real observations, including distance distribution, destination travel constraints and flux. By contrast, the models that succeed in modelling mobility patterns in countries are not applicable in cities, which suggests that there is a diversity of human mobility at different spatial scales. Our model has potential applications in many fields relevant to mobility behaviour in cities, without relying on previous mobility measurements. PMID:25232053

Predicting Baseline for Analysis of Electricity Pricing

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

Kim, T.; Lee, D.; Choi, J.

2016-05-03

To understand the impact of new pricing structure on residential electricity demands, we need a baseline model that captures every factor other than the new price. The standard baseline is a randomized control group, however, a good control group is hard to design. This motivates us to devlop data-driven approaches. We explored many techniques and designed a strategy, named LTAP, that could predict the hourly usage years ahead. The key challenge in this process is that the daily cycle of electricity demand peaks a few hours after the temperature reaching its peak. Existing methods rely on the lagged variables ofmore » recent past usages to enforce this daily cycle. These methods have trouble making predictions years ahead. LTAP avoids this trouble by assuming the daily usage profile is determined by temperature and other factors. In a comparison against a well-designed control group, LTAP is found to produce accurate predictions.« less

How good is "very good"? Translation effect in the racial/ethnic variation in self-rated health status.

PubMed

Seo, Sukyong; Chung, Sukyung; Shumway, Martha

2014-03-01

To examine the influence of translation when measuring and comparing self-rated health (SRH) measured with five response categories (excellent, very good, good, fair, and poor), across racial/ethnic groups. Using data from the California Health Interview Survey, which were administered in five languages, we analyzed variations in the five-category SRH across five racial/ethnic groups: non-Hispanic white, Latino, Chinese, Vietnamese, and Korean. Logistic regression was used to estimate independent effects of race/ethnicity, culture, and translation on SRH, after controlling for risk factors and other measures of health status. Latinos, Chinese, Vietnamese, and Koreans were less likely than non-Hispanic whites to rate their health as excellent or very good and more likely to rate it as good, fair, or poor. This racial/ethnic difference diminished when adjusting for acculturation. Independently of race/ethnicity, respondents using non-English surveys were less likely to answer excellent (OR = 0.24-0.55) and very good (OR = 0.30-0.34) and were more likely to answer fair (OR = 2.48-4.10) or poor (OR = 2.87-3.51), even after controlling for other measures of SRH. Responses to the five-category SRH question depend on interview language. When responding in Spanish, Chinese, Korean, or Vietnamese, respondents are more likely to choose a lower level SRH category, "fair" in particular. If each SRH category measured in different languages is treated as equivalent, racial/ethnic disparities in SRH among Latinos and Asian subgroups, as compared to non-Hispanic whites, may be exaggerated.

19 CFR 10.771 - Textile or apparel goods.

Code of Federal Regulations, 2010 CFR

2010-04-01

... Agreement Rules of Origin § 10.771 Textile or apparel goods. (a) De minimis. Except as provided in paragraph... specific rules specified in General Note 27(h), HTSUS, textile or apparel goods classifiable as goods put up in sets for retail sale as provided for in General Rule of Interpretation 3, HTSUS, will not be...

22 CFR 17.4 - Equity and good conscience.

Code of Federal Regulations, 2010 CFR

2010-04-01

... 22 Foreign Relations 1 2010-04-01 2010-04-01 false Equity and good conscience. 17.4 Section 17.4... PENSION SYSTEM (FSPS) § 17.4 Equity and good conscience. (a) Defined. Recovery is against equity and good... a valuable right or changed positions for the worse; or (3) Recovery could be unconscionable under...

28 CFR 523.12 - Work/study release good time.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 28 Judicial Administration 2 2010-07-01 2010-07-01 false Work/study release good time. 523.12..., CLASSIFICATION, AND TRANSFER COMPUTATION OF SENTENCE Extra Good Time § 523.12 Work/study release good time. Extra good time for an inmate in work or study release programs is awarded automatically, beginning on the...

28 CFR 523.12 - Work/study release good time.

Code of Federal Regulations, 2013 CFR

2013-07-01

..., CLASSIFICATION, AND TRANSFER COMPUTATION OF SENTENCE Extra Good Time § 523.12 Work/study release good time. Extra good time for an inmate in work or study release programs is awarded automatically, beginning on the... 28 Judicial Administration 2 2013-07-01 2013-07-01 false Work/study release good time. 523.12...

28 CFR 523.2 - Good time credit for violators.

Code of Federal Regulations, 2014 CFR

2014-07-01

..., CLASSIFICATION, AND TRANSFER COMPUTATION OF SENTENCE Good Time § 523.2 Good time credit for violators. (a) An... 28 Judicial Administration 2 2014-07-01 2014-07-01 false Good time credit for violators. 523.2... good time, upon being returned to custody for violation of supervised release, based on the number of...

28 CFR 523.2 - Good time credit for violators.

Code of Federal Regulations, 2012 CFR

2012-07-01

..., CLASSIFICATION, AND TRANSFER COMPUTATION OF SENTENCE Good Time § 523.2 Good time credit for violators. (a) An... 28 Judicial Administration 2 2012-07-01 2012-07-01 false Good time credit for violators. 523.2... good time, upon being returned to custody for violation of supervised release, based on the number of...

28 CFR 523.12 - Work/study release good time.

Code of Federal Regulations, 2012 CFR

2012-07-01

..., CLASSIFICATION, AND TRANSFER COMPUTATION OF SENTENCE Extra Good Time § 523.12 Work/study release good time. Extra good time for an inmate in work or study release programs is awarded automatically, beginning on the... 28 Judicial Administration 2 2012-07-01 2012-07-01 false Work/study release good time. 523.12...

28 CFR 523.2 - Good time credit for violators.

Code of Federal Regulations, 2013 CFR

2013-07-01

..., CLASSIFICATION, AND TRANSFER COMPUTATION OF SENTENCE Good Time § 523.2 Good time credit for violators. (a) An... 28 Judicial Administration 2 2013-07-01 2013-07-01 false Good time credit for violators. 523.2... good time, upon being returned to custody for violation of supervised release, based on the number of...

28 CFR 523.2 - Good time credit for violators.

Code of Federal Regulations, 2011 CFR

2011-07-01

..., CLASSIFICATION, AND TRANSFER COMPUTATION OF SENTENCE Good Time § 523.2 Good time credit for violators. (a) An... 28 Judicial Administration 2 2011-07-01 2011-07-01 false Good time credit for violators. 523.2... good time, upon being returned to custody for violation of supervised release, based on the number of...

28 CFR 523.12 - Work/study release good time.

Code of Federal Regulations, 2014 CFR

2014-07-01

..., CLASSIFICATION, AND TRANSFER COMPUTATION OF SENTENCE Extra Good Time § 523.12 Work/study release good time. Extra good time for an inmate in work or study release programs is awarded automatically, beginning on the... 28 Judicial Administration 2 2014-07-01 2014-07-01 false Work/study release good time. 523.12...

28 CFR 523.12 - Work/study release good time.

Code of Federal Regulations, 2011 CFR

2011-07-01

..., CLASSIFICATION, AND TRANSFER COMPUTATION OF SENTENCE Extra Good Time § 523.12 Work/study release good time. Extra good time for an inmate in work or study release programs is awarded automatically, beginning on the... 28 Judicial Administration 2 2011-07-01 2011-07-01 false Work/study release good time. 523.12...

28 CFR 523.2 - Good time credit for violators.

Code of Federal Regulations, 2010 CFR

2010-07-01

..., CLASSIFICATION, AND TRANSFER COMPUTATION OF SENTENCE Good Time § 523.2 Good time credit for violators. (a) An... 28 Judicial Administration 2 2010-07-01 2010-07-01 false Good time credit for violators. 523.2... good time, upon being returned to custody for violation of supervised release, based on the number of...

How to give a good talk.

PubMed

Alon, Uri

2009-10-23

We depend on talks to communicate our work, and we spend much of our time as audience members in talks. However, few scientists are taught the well-established principles of giving good talks. Here, I describe how to prepare, present, and answer questions in a scientific talk. We will see how a talk prepared with a single premise and delivered with good eye contact is clear and enjoyable.

An Integrated Theory for Predicting the Hydrothermomechanical Response of Advanced Composite Structural Components

NASA Technical Reports Server (NTRS)

Chamis, C. C.; Lark, R. F.; Sinclair, J. H.

1977-01-01

An integrated theory is developed for predicting the hydrothermomechanical (HDTM) response of fiber composite components. The integrated theory is based on a combined theoretical and experimental investigation. In addition to predicting the HDTM response of components, the theory is structured to assess the combined hydrothermal effects on the mechanical properties of unidirectional composites loaded along the material axis and off-axis, and those of angleplied laminates. The theory developed predicts values which are in good agreement with measured data at the micromechanics, macromechanics, laminate analysis and structural analysis levels.

Theoretical Prediction of the Forming Limit Band

NASA Astrophysics Data System (ADS)

Banabic, D.; Vos, M.; Paraianu, L.; Jurco, P.

2007-04-01

Forming Limit Band (FLB) is a very useful tool to improve the sheet metal forming simulation robustness. Until now, the study of the FLB was only experimental. This paper presents the first attempt to model the FLB. The authors have established an original method for predicting the two margins of the limit band. The method was illustrated on the AA6111-T43 aluminum alloy. A good agreement with the experiments has been obtained.

Evaluating the Good Ontology Design Guideline (GoodOD) with the Ontology Quality Requirements and Evaluation Method and Metrics (OQuaRE)

PubMed Central

Duque-Ramos, Astrid; Boeker, Martin; Jansen, Ludger; Schulz, Stefan; Iniesta, Miguela; Fernández-Breis, Jesualdo Tomás

2014-01-01

Objective To (1) evaluate the GoodOD guideline for ontology development by applying the OQuaRE evaluation method and metrics to the ontology artefacts that were produced by students in a randomized controlled trial, and (2) informally compare the OQuaRE evaluation method with gold standard and competency questions based evaluation methods, respectively. Background In the last decades many methods for ontology construction and ontology evaluation have been proposed. However, none of them has become a standard and there is no empirical evidence of comparative evaluation of such methods. This paper brings together GoodOD and OQuaRE. GoodOD is a guideline for developing robust ontologies. It was previously evaluated in a randomized controlled trial employing metrics based on gold standard ontologies and competency questions as outcome parameters. OQuaRE is a method for ontology quality evaluation which adapts the SQuaRE standard for software product quality to ontologies and has been successfully used for evaluating the quality of ontologies. Methods In this paper, we evaluate the effect of training in ontology construction based on the GoodOD guideline within the OQuaRE quality evaluation framework and compare the results with those obtained for the previous studies based on the same data. Results Our results show a significant effect of the GoodOD training over developed ontologies by topics: (a) a highly significant effect was detected in three topics from the analysis of the ontologies of untrained and trained students; (b) both positive and negative training effects with respect to the gold standard were found for five topics. Conclusion The GoodOD guideline had a significant effect over the quality of the ontologies developed. Our results show that GoodOD ontologies can be effectively evaluated using OQuaRE and that OQuaRE is able to provide additional useful information about the quality of the GoodOD ontologies. PMID:25148262

Evaluating the Good Ontology Design Guideline (GoodOD) with the ontology quality requirements and evaluation method and metrics (OQuaRE).

PubMed

Duque-Ramos, Astrid; Boeker, Martin; Jansen, Ludger; Schulz, Stefan; Iniesta, Miguela; Fernández-Breis, Jesualdo Tomás

2014-01-01

To (1) evaluate the GoodOD guideline for ontology development by applying the OQuaRE evaluation method and metrics to the ontology artefacts that were produced by students in a randomized controlled trial, and (2) informally compare the OQuaRE evaluation method with gold standard and competency questions based evaluation methods, respectively. In the last decades many methods for ontology construction and ontology evaluation have been proposed. However, none of them has become a standard and there is no empirical evidence of comparative evaluation of such methods. This paper brings together GoodOD and OQuaRE. GoodOD is a guideline for developing robust ontologies. It was previously evaluated in a randomized controlled trial employing metrics based on gold standard ontologies and competency questions as outcome parameters. OQuaRE is a method for ontology quality evaluation which adapts the SQuaRE standard for software product quality to ontologies and has been successfully used for evaluating the quality of ontologies. In this paper, we evaluate the effect of training in ontology construction based on the GoodOD guideline within the OQuaRE quality evaluation framework and compare the results with those obtained for the previous studies based on the same data. Our results show a significant effect of the GoodOD training over developed ontologies by topics: (a) a highly significant effect was detected in three topics from the analysis of the ontologies of untrained and trained students; (b) both positive and negative training effects with respect to the gold standard were found for five topics. The GoodOD guideline had a significant effect over the quality of the ontologies developed. Our results show that GoodOD ontologies can be effectively evaluated using OQuaRE and that OQuaRE is able to provide additional useful information about the quality of the GoodOD ontologies.

7 CFR 28.406 - Strict Good Ordinary Color.

Code of Federal Regulations, 2012 CFR

2012-01-01

... 7 Agriculture 2 2012-01-01 2012-01-01 false Strict Good Ordinary Color. 28.406 Section 28.406... for the Color Grade of American Upland Cotton § 28.406 Strict Good Ordinary Color. Strict Good Ordinary Color is color which is within the range represented by a set of samples in the custody of the...

7 CFR 28.406 - Strict Good Ordinary Color.

Code of Federal Regulations, 2011 CFR

2011-01-01

... 7 Agriculture 2 2011-01-01 2011-01-01 false Strict Good Ordinary Color. 28.406 Section 28.406... for the Color Grade of American Upland Cotton § 28.406 Strict Good Ordinary Color. Strict Good Ordinary Color is color which is within the range represented by a set of samples in the custody of the...

7 CFR 28.406 - Strict Good Ordinary Color.

Code of Federal Regulations, 2014 CFR

2014-01-01

... 7 Agriculture 2 2014-01-01 2014-01-01 false Strict Good Ordinary Color. 28.406 Section 28.406... for the Color Grade of American Upland Cotton § 28.406 Strict Good Ordinary Color. Strict Good Ordinary Color is color which is within the range represented by a set of samples in the custody of the...

7 CFR 28.406 - Strict Good Ordinary Color.

Code of Federal Regulations, 2013 CFR

2013-01-01

... 7 Agriculture 2 2013-01-01 2013-01-01 false Strict Good Ordinary Color. 28.406 Section 28.406... for the Color Grade of American Upland Cotton § 28.406 Strict Good Ordinary Color. Strict Good Ordinary Color is color which is within the range represented by a set of samples in the custody of the...

7 CFR 28.406 - Strict Good Ordinary Color.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 7 Agriculture 2 2010-01-01 2010-01-01 false Strict Good Ordinary Color. 28.406 Section 28.406... for the Color Grade of American Upland Cotton § 28.406 Strict Good Ordinary Color. Strict Good Ordinary Color is color which is within the range represented by a set of samples in the custody of the...

Public Education, Public Good.

ERIC Educational Resources Information Center

Tomlinson, John

1986-01-01

Criticizes policies which would damage or destroy a public education system. Examines the relationship between government-provided education and democracy. Concludes that privatization of public education would emphasize self-interest and selfishness, further jeopardizing the altruism and civic mindedness necessary for the public good. (JDH)

28 CFR 523.15 - Camp or farm good time.

Code of Federal Regulations, 2014 CFR

2014-07-01

..., CLASSIFICATION, AND TRANSFER COMPUTATION OF SENTENCE Extra Good Time § 523.15 Camp or farm good time. An inmate assigned to a farm or camp is automatically awarded extra good time, beginning on the date of commitment to... 28 Judicial Administration 2 2014-07-01 2014-07-01 false Camp or farm good time. 523.15 Section...

28 CFR 523.15 - Camp or farm good time.

Code of Federal Regulations, 2013 CFR

2013-07-01

..., CLASSIFICATION, AND TRANSFER COMPUTATION OF SENTENCE Extra Good Time § 523.15 Camp or farm good time. An inmate assigned to a farm or camp is automatically awarded extra good time, beginning on the date of commitment to... 28 Judicial Administration 2 2013-07-01 2013-07-01 false Camp or farm good time. 523.15 Section...

28 CFR 523.15 - Camp or farm good time.

Code of Federal Regulations, 2012 CFR

2012-07-01

..., CLASSIFICATION, AND TRANSFER COMPUTATION OF SENTENCE Extra Good Time § 523.15 Camp or farm good time. An inmate assigned to a farm or camp is automatically awarded extra good time, beginning on the date of commitment to... 28 Judicial Administration 2 2012-07-01 2012-07-01 false Camp or farm good time. 523.15 Section...

28 CFR 523.15 - Camp or farm good time.

Code of Federal Regulations, 2010 CFR

2010-07-01

..., CLASSIFICATION, AND TRANSFER COMPUTATION OF SENTENCE Extra Good Time § 523.15 Camp or farm good time. An inmate assigned to a farm or camp is automatically awarded extra good time, beginning on the date of commitment to... 28 Judicial Administration 2 2010-07-01 2010-07-01 false Camp or farm good time. 523.15 Section...

28 CFR 523.15 - Camp or farm good time.

Code of Federal Regulations, 2011 CFR

2011-07-01

..., CLASSIFICATION, AND TRANSFER COMPUTATION OF SENTENCE Extra Good Time § 523.15 Camp or farm good time. An inmate assigned to a farm or camp is automatically awarded extra good time, beginning on the date of commitment to... 28 Judicial Administration 2 2011-07-01 2011-07-01 false Camp or farm good time. 523.15 Section...

"Serving Time": The Relationship of Good and Bad Teaching

ERIC Educational Resources Information Center

Jackson, Michael

2006-01-01

Purpose: The argument is that good and bad teaching are asymmetrical. Eradicating what is readily thought of as bad teaching does not leave behind the purse gold of good teaching. Good teaching is that which promotes student learning. The purpose of this paper is to explore the relationship between bad teaching and good teaching in graduate…

Attributing Predictable Signals at Subseasonal Timescales

NASA Astrophysics Data System (ADS)

Shelly, A.; Norton, W.; Rowlands, D.; Beech-Brandt, J.

2016-12-01

Subseasonal forecasts offer significant economic value in the management of energy infrastructure and through the associated financial markets. Models are now accurate enough to provide, for some occasions, good forecasts in the subseasonal range. However, it is often not clear what the drivers of these subseasonal signals are and if the forecasts could be more accurate with better representation of physical processes. Also what are the limits of predictability in the subseasonal range? To address these questions, we have run the ECMWF monthly forecast system over the 2015/16 winter with a set of 6 week ensemble integrations initialised every week over the period. In these experiments, we have relaxed the band 15N to 15S to reanalysis fields. Hence, we have a set of forecasts where the tropics is constrained to actual events and we can analyse the changes in predictability in middle latitudes - in particular in regions of high energy consumption like North America and Europe. Not surprisingly, the forecast of some periods are significantly improved while others show no improvement. We discuss events/patterns that have extended range predictability and also the tropical forecast errors which prevent the potential predictability in middle latitudes from being realised.

Can suicide be a good death?

PubMed

Lester, David

2006-01-01

The issue of whether suicide can be a good death was separated into two different questions: (1) can suicide be an appropriate death, and (2) can suicide be a rational death? Several definitions of an "appropriate" death were proposed, and suicide was seen as potentially appropriate. Similarly, several criteria for rationality were proposed and suicide was seen as sometimes meeting these criteria. Thus, suicide can be sometimes conceptualized as a "good" death.

Prediction of space shuttle fluctuating pressure environments, including rocket plume effects

NASA Technical Reports Server (NTRS)

Plotkin, K. J.; Robertson, J. E.

1973-01-01

Preliminary estimates of space shuttle fluctuating pressure environments have been made based on prediction techniques developed by Wyle Laboratories. Particular emphasis has been given to the transonic speed regime during launch of a parallel-burn space shuttle configuration. A baseline configuration consisting of a lightweight orbiter and monolithic SRB, together with a typical flight trajectory, have been used as models for the predictions. Critical fluctuating pressure environments are predicted at transonic Mach numbers. Comparisons between predicted environments and wind tunnel test results, in general, showed good agreement. Predicted one-third octave band spectra for the above environments were generally one of three types: (1) attached turbulent boundary layer spectra (typically high frequencies); (2) homogeneous separated flow and shock-free interference flow spectra (typically intermediate frequencies); and (3) shock-oscillation and shock-induced interference flow spectra (typically low frequencies). Predictions of plume induced separated flow environments were made. Only the SRB plumes are important, with fluctuating levels comparable to compression-corner induced separated flow shock oscillation.

Isothermal life prediction of composite lamina using a damage mechanics approach

NASA Technical Reports Server (NTRS)

Abuelfoutouh, Nader M.; Verrilli, Michael J.; Halford, Gary R.

1989-01-01

A method for predicting isothermal plastic fatigue life of a composite lamina is presented in which both fibers and matrix are isotropic materials. In general, the fatigue resistances of the matrix, fibers, and interfacial material must be known in order to predict composite fatigue life. Composite fatigue life is predicted using only the matrix fatigue resistance due to inelasticity micromechanisms. The effect of the fiber orientation on loading direction is accounted for while predicting composite life. The application is currently limited to isothermal cases where the internal thermal stresses that might arise from thermal strain mismatch between fibers and matrix are negligible. The theory is formulated to predict the fatigue life of a composite lamina under either load or strain control. It is applied currently to predict the life of tungsten-copper composite lamina at 260 C under tension-tension load control. The calculated life of the lamina is in good agreement with available composite low cycle fatigue data.

Assessing the sense of `good at' and `not good at' toward learning topics of mathematics with conjoint analysis

NASA Astrophysics Data System (ADS)

Izuta, Giido; Nishikawa, Tomoko

2017-05-01

Over the past years, educational psychology and pedagogy communities have focused on the metacognition formalism as a helpful approach to carry out investigations on the feeling of difficulty in mastering some classroom materials that students acquire through their subjective experiences of learning in schools. Motivated by hitherto studies, this work deals with the assessment of the awareness of `good at' and `not good at' that Japanese junior high school students have towards the main learning modules in their three years of mathematics. More specifically, the aims here are (i) to shed some light into how the awareness varies across the grades and gender; (ii) to get some insights into the extent to what the conjoint analysis can be applied to understand the students' feelings toward learning activities. To accomplish them, a conjoint analysis survey with three conjoint attributes, each with two levels, were designed to assess the learners' perceptions of `good at' and `not good at' with respect to arithmetic (algebraic operations), geometry and functions, which make up the three major modules of their curricula. The measurements took place in a public junior high school with 616 school children. It turned out that the conjoint analyses for boys and girls of each grade generated the partial utility and importance graphs which along with a pre-established precision of measurement allowed us to form groups of pupils according to their `sense of being good at' characteristics. Moreover, the results showed that the number of groups obtained differed for boys and girls as well as grades when the gender and school years were considered for comparisons. These findings suggesting that female students outnumbers their peers in number of `good at' despite the low number of females pursuing careers in mathematics and related fields imply that investigation on the causes of this juxtaposition has to be taken into account in the future.

Predicting Performance in Higher Education Using Proximal Predictors.

PubMed

Niessen, A Susan M; Meijer, Rob R; Tendeiro, Jorge N

2016-01-01

We studied the validity of two methods for predicting academic performance and student-program fit that were proximal to important study criteria. Applicants to an undergraduate psychology program participated in a selection procedure containing a trial-studying test based on a work sample approach, and specific skills tests in English and math. Test scores were used to predict academic achievement and progress after the first year, achievement in specific course types, enrollment, and dropout after the first year. All tests showed positive significant correlations with the criteria. The trial-studying test was consistently the best predictor in the admission procedure. We found no significant differences between the predictive validity of the trial-studying test and prior educational performance, and substantial shared explained variance between the two predictors. Only applicants with lower trial-studying scores were significantly less likely to enroll in the program. In conclusion, the trial-studying test yielded predictive validities similar to that of prior educational performance and possibly enabled self-selection. In admissions aimed at student-program fit, or in admissions in which past educational performance is difficult to use, a trial-studying test is a good instrument to predict academic performance.

Comparison of Theoretically Predicted Electromagnetic Heavy Ion Cross Sections with CERN SPS and RHIC Data

NASA Astrophysics Data System (ADS)

Baltz, Anthony J.

2002-10-01

Theoretical predictions for a number of electromagnetically induced reactions have been compared with available ultrarelativistic heavy ion data. Calculations for three atomic process have been confronted with CERN SPS data. Theoretically predicted rates are in good agreement with data[1] for bound-electron positron pairs and ionization of single electron heavy ions. Furthermore, the exact solution of the semi-classical Dirac equation in the ultrarelativistic limit reproduces the perturbative scaling result seen in data[2] for continuum pairs (i.e. cross sections go as Z_1^2 Z_2^2). In the area of electromagnetically induced nuclear and hadronic physics, mutual Coulomb dissociation predictions are in good agreement with RHIC Zero Degree Calorimeter measurements[3], and calculations of coherent vector meson production accompanied by mutual Coulomb dissociation[4] are in good agreement with RHIC STAR data[5]. [1] H. F. Krause et al., Phys. Rev. Lett., 80, 1190 (1998). [2] C. R. Vane et al., Phys. Rev. A 56, 3682 (1997). [3] Mickey Chiu et al., Phys. Rev. Lett. 89, 012302 (2002). [4] Anthony J. Baltz, Spencer R. Klein, and Joakim Nystrand, Phys. Rev. Lett. 89, 012301 (2002). [5] C. Adler et al., STAR Collaboration, arXiv:nucl-ex/206004.

Prediction of high temperature metal matrix composite ply properties

NASA Technical Reports Server (NTRS)

Caruso, J. J.; Chamis, C. C.

1988-01-01

The application of the finite element method (superelement technique) in conjunction with basic concepts from mechanics of materials theory is demonstrated to predict the thermomechanical behavior of high temperature metal matrix composites (HTMMC). The simulated behavior is used as a basis to establish characteristic properties of a unidirectional composite idealized an as equivalent homogeneous material. The ply properties predicted include: thermal properties (thermal conductivities and thermal expansion coefficients) and mechanical properties (moduli and Poisson's ratio). These properties are compared with those predicted by a simplified, analytical composite micromechanics model. The predictive capabilities of the finite element method and the simplified model are illustrated through the simulation of the thermomechanical behavior of a P100-graphite/copper unidirectional composite at room temperature and near matrix melting temperature. The advantage of the finite element analysis approach is its ability to more precisely represent the composite local geometry and hence capture the subtle effects that are dependent on this. The closed form micromechanics model does a good job at representing the average behavior of the constituents to predict composite behavior.

Diagnosis of streamflow prediction skills in Oregon using Hydrologic Landscape Classification

EPA Science Inventory

A complete understanding of why rainfall-runoff models provide good streamflow predictions at catchments in some regions, but fail to do so in other regions, has still not been achieved. Here, we argue that a hydrologic classification system is a robust conceptual tool that is w...

The Effectiveness of the SSHA in Improving Prediction of Academic Achievement.

ERIC Educational Resources Information Center

Wikoff, Richard L.; Kafka, Gene F.

1981-01-01

Investigated the effectiveness of the Survey of Study Habits (SSHA) in improving prediction of achievement. The American College Testing Program English and mathematics subtests were good predictors of gradepoint average. The SSHA subtests accounted for an additional 3 percent of the variance. Sex differences were noted. (Author)

Statistical prediction of dynamic distortion of inlet flow using minimum dynamic measurement. An application to the Melick statistical method and inlet flow dynamic distortion prediction without RMS measurements

NASA Technical Reports Server (NTRS)

Schweikhard, W. G.; Chen, Y. S.

1986-01-01

The Melick method of inlet flow dynamic distortion prediction by statistical means is outlined. A hypothetic vortex model is used as the basis for the mathematical formulations. The main variables are identified by matching the theoretical total pressure rms ratio with the measured total pressure rms ratio. Data comparisons, using the HiMAT inlet test data set, indicate satisfactory prediction of the dynamic peak distortion for cases with boundary layer control device vortex generators. A method for the dynamic probe selection was developed. Validity of the probe selection criteria is demonstrated by comparing the reduced-probe predictions with the 40-probe predictions. It is indicated that the the number of dynamic probes can be reduced to as few as two and still retain good accuracy.

Development of an aerobic capacity prediction model from one-mile run/walk performance in adolescents aged 13-16 years.

PubMed

Burns, Ryan D; Hannon, James C; Brusseau, Timothy A; Eisenman, Patricia A; Shultz, Barry B; Saint-Maurice, Pedro F; Welk, Gregory J; Mahar, Matthew T

2016-01-01

A popular algorithm to predict VO2Peak from the one-mile run/walk test (1MRW) includes body mass index (BMI), which manifests practical issues in school settings. The purpose of this study was to develop an aerobic capacity model from 1MRW in adolescents independent of BMI. Cardiorespiratory endurance data were collected on 90 adolescents aged 13-16 years. The 1MRW was administered on an outside track and a laboratory VO2Peak test was conducted using a maximal treadmill protocol. Multiple linear regression was employed to develop the prediction model. Results yielded the following algorithm: VO2Peak = 7.34 × (1MRW speed in m s(-1)) + 0.23 × (age × sex) + 17.75. The New Model displayed a multiple correlation and prediction error of R = 0.81, standard error of the estimate = 4.78 ml kg(-1) · min(-1), with measured VO2Peak and good criterion-referenced (CR) agreement into FITNESSGRAM's Healthy Fitness Zone (Kappa = 0.62; percentage agreement = 84.4%; Φ = 0.62). The New Model was validated using k-fold cross-validation and showed homoscedastic residuals across the range of predicted scores. The omission of BMI did not compromise accuracy of the model. In conclusion, the New Model displayed good predictive accuracy and good CR agreement with measured VO2Peak in adolescents aged 13-16 years.

Assessing the mechanism of response in the retrosplenial cortex of good and poor navigators☆

PubMed Central

Auger, Stephen D.; Maguire, Eleanor A.

2013-01-01

The retrosplenial cortex (RSC) is consistently engaged by a range of tasks that examine episodic memory, imagining the future, spatial navigation, and scene processing. Despite this, an account of its exact contribution to these cognitive functions remains elusive. Here, using functional MRI (fMRI) and multi-voxel pattern analysis (MVPA) we found that the RSC coded for the specific number of permanent outdoor items that were in view, that is, items which are fixed and never change their location. Moreover, this effect was selective, and was not apparent for other item features such as size and visual salience. This detailed detection of the number of permanent items in view was echoed in the parahippocampal cortex (PHC), although the two brain structures diverged when participants were divided into good and poor navigators. There was no difference in the responsivity of the PHC between the two groups, while significantly better decoding of the number of permanent items in view was possible from patterns of activity in the RSC of good compared to poor navigators. Within good navigators, the RSC also facilitated significantly better prediction of item permanence than the PHC. Overall, these findings suggest that the RSC in particular is concerned with coding the presence of every permanent item that is in view. This mechanism may represent a key building block for spatial and scene representations that are central to episodic memories and imagining the future, and could also be a prerequisite for successful navigation. PMID:24012136

Confronting uncertainty in flood damage predictions

NASA Astrophysics Data System (ADS)

Schröter, Kai; Kreibich, Heidi; Vogel, Kristin; Merz, Bruno

2015-04-01

Reliable flood damage models are a prerequisite for the practical usefulness of the model results. Oftentimes, traditional uni-variate damage models as for instance depth-damage curves fail to reproduce the variability of observed flood damage. Innovative multi-variate probabilistic modelling approaches are promising to capture and quantify the uncertainty involved and thus to improve the basis for decision making. In this study we compare the predictive capability of two probabilistic modelling approaches, namely Bagging Decision Trees and Bayesian Networks. For model evaluation we use empirical damage data which are available from computer aided telephone interviews that were respectively compiled after the floods in 2002, 2005 and 2006, in the Elbe and Danube catchments in Germany. We carry out a split sample test by sub-setting the damage records. One sub-set is used to derive the models and the remaining records are used to evaluate the predictive performance of the model. Further we stratify the sample according to catchments which allows studying model performance in a spatial transfer context. Flood damage estimation is carried out on the scale of the individual buildings in terms of relative damage. The predictive performance of the models is assessed in terms of systematic deviations (mean bias), precision (mean absolute error) as well as in terms of reliability which is represented by the proportion of the number of observations that fall within the 95-quantile and 5-quantile predictive interval. The reliability of the probabilistic predictions within validation runs decreases only slightly and achieves a very good coverage of observations within the predictive interval. Probabilistic models provide quantitative information about prediction uncertainty which is crucial to assess the reliability of model predictions and improves the usefulness of model results.

Comparison of observed rheological properties of hard wheat flour dough with predictions of the Giesekus-Leonov, White-Metzner and Phan-Thien Tanner models

NASA Technical Reports Server (NTRS)

Dhanasekharan, M.; Huang, H.; Kokini, J. L.; Janes, H. W. (Principal Investigator)

1999-01-01

The measured rheological behavior of hard wheat flour dough was predicted using three nonlinear differential viscoelastic models. The Phan-Thien Tanner model gave good zero shear viscosity prediction, but overpredicted the shear viscosity at higher shear rates and the transient and extensional properties. The Giesekus-Leonov model gave similar predictions to the Phan-Thien Tanner model, but the extensional viscosity prediction showed extension thickening. Using high values of the mobility factor, extension thinning behavior was observed but the predictions were not satisfactory. The White-Metzner model gave good predictions of the steady shear viscosity and the first normal stress coefficient but it was unable to predict the uniaxial extensional viscosity as it exhibited asymptotic behavior in the tested extensional rates. It also predicted the transient shear properties with moderate accuracy in the transient phase, but very well at higher times, compared to the Phan-Thien Tanner model and the Giesekus-Leonov model. None of the models predicted all observed data consistently well. Overall the White-Metzner model appeared to make the best predictions of all the observed data.

Long-range prediction of Indian summer monsoon rainfall using data mining and statistical approaches

NASA Astrophysics Data System (ADS)

H, Vathsala; Koolagudi, Shashidhar G.

2017-10-01

This paper presents a hybrid model to better predict Indian summer monsoon rainfall. The algorithm considers suitable techniques for processing dense datasets. The proposed three-step algorithm comprises closed itemset generation-based association rule mining for feature selection, cluster membership for dimensionality reduction, and simple logistic function for prediction. The application of predicting rainfall into flood, excess, normal, deficit, and drought based on 36 predictors consisting of land and ocean variables is presented. Results show good accuracy in the considered study period of 37years (1969-2005).

Prediction skill of tropical synoptic scale transients from ECMWF and NCEP ensemble prediction systems

DOE PAGES

Taraphdar, S.; Mukhopadhyay, P.; Leung, L. Ruby; ...

2016-12-05

The prediction skill of tropical synoptic scale transients (SSTR) such as monsoon low and depression during the boreal summer of 2007–2009 are assessed using high resolution ECMWF and NCEP TIGGE forecasts data. By analyzing 246 forecasts for lead times up to 10 days, it is found that the models have good skills in forecasting the planetary scale means but the skills of SSTR remain poor, with the latter showing no skill beyond 2 days for the global tropics and Indian region. Consistent forecast skills among precipitation, velocity potential, and vorticity provide evidence that convection is the primary process responsible formore » precipitation. The poor skills of SSTR can be attributed to the larger random error in the models as they fail to predict the locations and timings of SSTR. Strong correlation between the random error and synoptic precipitation suggests that the former starts to develop from regions of convection. As the NCEP model has larger biases of synoptic scale precipitation, it has a tendency to generate more random error that ultimately reduces the prediction skill of synoptic systems in that model. Finally, the larger biases in NCEP may be attributed to the model moist physics and/or coarser horizontal resolution compared to ECMWF.« less

Prediction skill of tropical synoptic scale transients from ECMWF and NCEP ensemble prediction systems

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

Taraphdar, S.; Mukhopadhyay, P.; Leung, L. Ruby

The prediction skill of tropical synoptic scale transients (SSTR) such as monsoon low and depression during the boreal summer of 2007–2009 are assessed using high resolution ECMWF and NCEP TIGGE forecasts data. By analyzing 246 forecasts for lead times up to 10 days, it is found that the models have good skills in forecasting the planetary scale means but the skills of SSTR remain poor, with the latter showing no skill beyond 2 days for the global tropics and Indian region. Consistent forecast skills among precipitation, velocity potential, and vorticity provide evidence that convection is the primary process responsible formore » precipitation. The poor skills of SSTR can be attributed to the larger random error in the models as they fail to predict the locations and timings of SSTR. Strong correlation between the random error and synoptic precipitation suggests that the former starts to develop from regions of convection. As the NCEP model has larger biases of synoptic scale precipitation, it has a tendency to generate more random error that ultimately reduces the prediction skill of synoptic systems in that model. Finally, the larger biases in NCEP may be attributed to the model moist physics and/or coarser horizontal resolution compared to ECMWF.« less

The Meaning of Goodness-of-Fit Tests: Commentary on "Goodness-of-Fit Assessment of Item Response Theory Models"

ERIC Educational Resources Information Center

Thissen, David

2013-01-01

In this commentary, David Thissen states that "Goodness-of-fit assessment for IRT models is maturing; it has come a long way from zero." Thissen then references prior works on "goodness of fit" in the index of Lord and Novick's (1968) classic text; Yen (1984); Drasgow, Levine, Tsien, Williams, and Mead (1995); Chen and…

Good IR duals of bad quiver theories

NASA Astrophysics Data System (ADS)

Dey, Anindya; Koroteev, Peter

2018-05-01

The infrared dynamics of generic 3d N = 4 bad theories (as per the good-bad-ugly classification of Gaiotto and Witten) are poorly understood. Examples of such theories with a single unitary gauge group and fundamental flavors have been studied recently, and the low energy effective theory around some special point in the Coulomb branch was shown to have a description in terms of a good theory and a certain number of free hypermultiplets. A classification of possible infrared fixed points for bad theories by Bashkirov, based on unitarity constraints and superconformal symmetry, suggest a much richer set of possibilities for the IR behavior, although explicit examples were not known. In this note, we present a specific example of a bad quiver gauge theory which admits a good IR description on a sublocus of its Coulomb branch. The good description, in question, consists of two decoupled quiver gauge theories with no free hypermultiplets.

To Be Immortal, Do Good or Evil.

PubMed

Gray, Kurt; Anderson, Stephen; Doyle, Cameron M; Hester, Neil; Schmitt, Peter; Vonasch, Andrew J; Allison, Scott T; Jackson, Joshua C

2018-06-01

Many people believe in immortality, but who is perceived to live on and how exactly do they live on? Seven studies reveal that good- and evil-doers are perceived to possess more immortality-albeit different kinds. Good-doers have "transcendent" immortality, with their souls persisting beyond space and time; evil-doers have "trapped" immortality, with their souls persisting on Earth, bound to a physical location. Studies 1 to 4 reveal bidirectional links between perceptions of morality and type of immortality. Studies 5 to 7 reveal how these links explain paranormal perceptions. People generally tie paranormal events to evil spirits (Study 5), but this depends upon location: Evil spirits are perceived to haunt houses and dense forests, whereas good spirits are perceived in expansive locations such as mountaintops (Study 6). However, even good spirits may be seen as trapped on Earth given extenuating circumstances (Study 7). Materials include a scale for measuring trapped and transcendent immorality.

Prediction of dynamical systems by symbolic regression

NASA Astrophysics Data System (ADS)

Quade, Markus; Abel, Markus; Shafi, Kamran; Niven, Robert K.; Noack, Bernd R.

2016-07-01

We study the modeling and prediction of dynamical systems based on conventional models derived from measurements. Such algorithms are highly desirable in situations where the underlying dynamics are hard to model from physical principles or simplified models need to be found. We focus on symbolic regression methods as a part of machine learning. These algorithms are capable of learning an analytically tractable model from data, a highly valuable property. Symbolic regression methods can be considered as generalized regression methods. We investigate two particular algorithms, the so-called fast function extraction which is a generalized linear regression algorithm, and genetic programming which is a very general method. Both are able to combine functions in a certain way such that a good model for the prediction of the temporal evolution of a dynamical system can be identified. We illustrate the algorithms by finding a prediction for the evolution of a harmonic oscillator based on measurements, by detecting an arriving front in an excitable system, and as a real-world application, the prediction of solar power production based on energy production observations at a given site together with the weather forecast.

Good documentation practice in clinical research.

PubMed

Bargaje, Chitra

2011-04-01

One of the most common inspection findings in investigator site inspections is lack of reliable, accurate and adequate source documentation. This also happens to be the most common pitfall identified during sponsor audits. The importance of good documentation practice needs to be emphasized to investigator sites to ensure that the study results are built on the foundation of credible and valid data. This article focuses on the key principles of good documentation practice and offers suggestions for improvement.

Defending the four principles approach as a good basis for good medical practice and therefore for good medical ethics.

PubMed

Gillon, Raanan

2015-01-01

This paper argues that the four prima facie principles-beneficence, non-maleficence, respect for autonomy and justice-afford a good and widely acceptable basis for 'doing good medical ethics'. It confronts objections that the approach is simplistic, incompatible with a virtue-based approach to medicine, that it requires respect for autonomy always to have priority when the principles clash at the expense of clinical obligations to benefit patients and global justice. It agrees that the approach does not provide universalisable methods either for resolving such moral dilemmas arising from conflict between the principles or their derivatives, or universalisable methods for resolving disagreements about the scope of these principles-long acknowledged lacunae but arguably to be found, in practice, with all other approaches to medical ethics. The value of the approach, when properly understood, is to provide a universalisable though prima facie set of moral commitments which all doctors can accept, a basic moral language and a basic moral analytic framework. These can underpin an intercultural 'moral mission statement' for the goals and practice of medicine. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Paying for international environmental public goods.

PubMed

Arriagada, Rodrigo; Perrings, Charles

2011-11-01

Supply of international environmental public goods must meet certain conditions to be socially efficient, and several reasons explain why they are currently undersupplied. Diagnosis of the public goods failure associated with particular ecosystem services is critical to the development of the appropriate international response. There are two categories of international environmental public goods that are most likely to be undersupplied. One has an additive supply technology and the other has a weakest link supply technology. The degree to which the collective response should be targeted depends on the importance of supply from any one country. In principle, the solution for the undersupply lies in payments designed to compensate local providers for the additional costs they incur in meeting global demand. Targeted support may take the form of direct investment in supply (the Global Environment Facility model) or of payments for the benefits of supply (the Payments for Ecosystem Services model).

Reconsidering the "Good Divorce"

ERIC Educational Resources Information Center

Amato, Paul R.; Kane, Jennifer B.; James, Spencer

2011-01-01

This study attempted to assess the notion that a "good divorce" protects children from the potential negative consequences of marital dissolution. A cluster analysis of data on postdivorce parenting from 944 families resulted in three groups: cooperative coparenting, parallel parenting, and single parenting. Children in the cooperative coparenting…

Measurement and prediction of model-rotor flow fields

NASA Technical Reports Server (NTRS)

Owen, F. K.; Tauber, M. E.

1985-01-01

This paper shows that a laser velocimeter can be used to measure accurately the three-component velocities induced by a model rotor at transonic tip speeds. The measurements, which were made at Mach numbers from 0.85 to 0.95 and at zero advance ratio, yielded high-resolution, orthogonal velocity values. The measured velocities were used to check the ability of the ROT22 full-potential rotor code to predict accurately the transonic flow field in the crucial region around and beyond the tip of a high-speed rotor blade. The good agreement between the calculated and measured velocities established the code's ability to predict the off-blade flow field at transonic tip speeds. This supplements previous comparisons in which surface pressures were shown to be well predicted on two different tips at advance ratios to 0.45, especially at the critical 90 deg azimuthal blade position. These results demonstrate that the ROT22 code can be used with confidence to predict the important tip-region flow field, including the occurrence, strength, and location of shock waves causing high drag and noise.

Prediction models for clustered data: comparison of a random intercept and standard regression model

PubMed Central

2013-01-01

Background When study data are clustered, standard regression analysis is considered inappropriate and analytical techniques for clustered data need to be used. For prediction research in which the interest of predictor effects is on the patient level, random effect regression models are probably preferred over standard regression analysis. It is well known that the random effect parameter estimates and the standard logistic regression parameter estimates are different. Here, we compared random effect and standard logistic regression models for their ability to provide accurate predictions. Methods Using an empirical study on 1642 surgical patients at risk of postoperative nausea and vomiting, who were treated by one of 19 anesthesiologists (clusters), we developed prognostic models either with standard or random intercept logistic regression. External validity of these models was assessed in new patients from other anesthesiologists. We supported our results with simulation studies using intra-class correlation coefficients (ICC) of 5%, 15%, or 30%. Standard performance measures and measures adapted for the clustered data structure were estimated. Results The model developed with random effect analysis showed better discrimination than the standard approach, if the cluster effects were used for risk prediction (standard c-index of 0.69 versus 0.66). In the external validation set, both models showed similar discrimination (standard c-index 0.68 versus 0.67). The simulation study confirmed these results. For datasets with a high ICC (≥15%), model calibration was only adequate in external subjects, if the used performance measure assumed the same data structure as the model development method: standard calibration measures showed good calibration for the standard developed model, calibration measures adapting the clustered data structure showed good calibration for the prediction model with random intercept. Conclusion The models with random intercept discriminate

"Girls Are as Good as Boys at Math" Implies That Boys Are Probably Better: A Study of Expressions of Gender Equality.

PubMed

Chestnut, Eleanor K; Markman, Ellen M

2018-06-28

Although "Girls are as good as boys at math" explicitly expresses equality, we predict it could nevertheless suggest that boys have more raw talent. In statements with this subject-complement structure, the item in the complement position serves as the reference point and is thus considered more typical and prominent. This explains why "Tents are like houses," for instance, sounds better than "Houses are like tents"-people generally think of houses as more typical. For domains about ability, the reference point should be the item that is typically more skilled. We further propose that the reference point should be naturally more skilled. In two experiments, we presented adults with summaries of actual scientific evidence for gender equality in math (Experiment 1) or verbal ability (Experiment 2), but we manipulated whether the reference point in the statements of equality in the summaries (e.g., "Boys' verbal ability is as good as girls'") was girls or boys. As predicted, adults attributed more natural ability to each gender when it was in the complement rather than subject position. Yet, in Experiment 3, we found that when explicitly asked, participants judged that such sentences were not biased in favor of either gender, indicating that subject-complement statements must be transmitting this bias in a subtle way. Thus, statements such as "Girls are as good as boys at math" can actually backfire and perpetuate gender stereotypes about natural ability. © 2018 Cognitive Science Society, Inc.

Computer vision system for egg volume prediction using backpropagation neural network

NASA Astrophysics Data System (ADS)

Siswantoro, J.; Hilman, M. Y.; Widiasri, M.

2017-11-01

Volume is one of considered aspects in egg sorting process. A rapid and accurate volume measurement method is needed to develop an egg sorting system. Computer vision system (CVS) provides a promising solution for volume measurement problem. Artificial neural network (ANN) has been used to predict the volume of egg in several CVSs. However, volume prediction from ANN could have less accuracy due to inappropriate input features or inappropriate ANN structure. This paper proposes a CVS for predicting the volume of egg using ANN. The CVS acquired an image of egg from top view and then processed the image to extract its 1D and 2 D size features. The features were used as input for ANN in predicting the volume of egg. The experiment results show that the proposed CSV can predict the volume of egg with a good accuracy and less computation time.

A predictive index of axillary nodal involvement in operable breast cancer.

PubMed Central

De Laurentiis, M.; Gallo, C.; De Placido, S.; Perrone, F.; Pettinato, G.; Petrella, G.; Carlomagno, C.; Panico, L.; Delrio, P.; Bianco, A. R.

1996-01-01

We investigated the association between pathological characteristics of primary breast cancer and degree of axillary nodal involvement and obtained a predictive index of the latter from the former. In 2076 cases, 17 histological features, including primary tumour and local invasion variables, were recorded. The whole sample was randomly split in a training (75% of cases) and a test sample. Simple and multiple correspondence analysis were used to select the variables to enter in a multinomial logit model to build an index predictive of the degree of nodal involvement. The response variable was axillary nodal status coded in four classes (N0, N1-3, N4-9, N > or = 10). The predictive index was then evaluated by testing goodness-of-fit and classification accuracy. Covariates significantly associated with nodal status were tumour size (P < 0.0001), tumour type (P < 0.0001), type of border (P = 0.048), multicentricity (P = 0.003), invasion of lymphatic and blood vessels (P < 0.0001) and nipple invasion (P = 0.006). Goodness-of-fit was validated by high concordance between observed and expected number of cases in each decile of predicted probability in both training and test samples. Classification accuracy analysis showed that true node-positive cases were well recognised (84.5%), but there was no clear distinction among the classes of node-positive cases. However, 10 year survival analysis showed a superimposible prognostic behaviour between predicted and observed nodal classes. Moreover, misclassified node-negative patients (i.e. those who are predicted positive) showed an outcome closer to patients with 1-3 metastatic nodes than to node-negative ones. In conclusion, the index cannot completely substitute for axillary node information, but it is a predictor of prognosis as accurate as nodal involvement and identifies a subgroup of node-negative patients with unfavourable prognosis. PMID:8630286

Rotor Broadband Noise Prediction with Comparison to Model Data

NASA Technical Reports Server (NTRS)

Brooks, Thomas F.; Burley, Casey L.

2001-01-01

This paper reports an analysis and prediction development of rotor broadband noise. The two primary components of this noise are Blade-Wake Interaction (BWI) noise, due to the blades' interaction with the turbulent wakes of the preceding blades, and "Self" noise, due to the development and shedding of turbulence within the blades' boundary layers. Emphasized in this report is the new code development for Self noise. The analysis and validation employs data from the HART program, a model BO-105 rotor wind tunnel test conducted in the German-Dutch Wind Tunnel (DNW). The BWI noise predictions are based on measured pressure response coherence functions using cross-spectral methods. The Self noise predictions are based on previously reported semiempirical modeling of Self noise obtained from isolated airfoil sections and the use of CAMRAD.Modl to define rotor performance and local blade segment flow conditions. Both BWI and Self noise from individual blade segments are Doppler shifted and summed at the observer positions. Prediction comparisons with measurements show good agreement for a range of rotor operating conditions from climb to steep descent. The broadband noise predictions, along with those of harmonic and impulsive Blade-Vortex Interaction (BVI) noise predictions, demonstrate a significant advance in predictive capability for main rotor noise.

Good Laboratory Practice. Part 3. Implementing Good Laboratory Practice in the Analytical Lab

ERIC Educational Resources Information Center

Wedlich, Richard C.; Pires, Amanda; Fazzino, Lisa; Fransen, Joseph M.

2013-01-01

Laboratories submitting experimental results to the Food and Drug Administration (FDA) or the Environmental Protection Agency (EPA) in support of Good Laboratory Practice (GLP) nonclinical laboratory studies must conduct such work in compliance with the GLP regulations. To consistently meet these requirements, lab managers employ a "divide…

Outcome prediction in home- and community-based brain injury rehabilitation using the Mayo-Portland Adaptability Inventory.

PubMed

Malec, James F; Parrot, Devan; Altman, Irwin M; Swick, Shannon

2015-01-01

The objective of the study was to develop statistical formulas to predict levels of community participation on discharge from post-hospital brain injury rehabilitation using retrospective data analysis. Data were collected from seven geographically distinct programmes in a home- and community-based brain injury rehabilitation provider network. Participants were 642 individuals with post-traumatic brain injury. Interventions consisted of home- and community-based brain injury rehabilitation. The main outcome measure was the Mayo-Portland Adaptability Inventory (MPAI-4) Participation Index. Linear discriminant models using admission MPAI-4 Participation Index score and log chronicity correctly predicted excellent (no to minimal participation limitations), very good (very mild participation limitations), good (mild participation limitations), and limited (significant participation limitations) outcome levels at discharge. Predicting broad outcome categories for post-hospital rehabilitation programmes based on admission assessment data appears feasible and valid. Equations to provide patients and families with probability statements on admission about expected levels of outcome are provided. It is unknown to what degree these prediction equations can be reliably applied and valid in other settings.

12 CFR 1024.7 - Good faith estimate.

Code of Federal Regulations, 2012 CFR

2012-01-01

... 12 Banks and Banking 8 2012-01-01 2012-01-01 false Good faith estimate. 1024.7 Section 1024.7 Banks and Banking BUREAU OF CONSUMER FINANCIAL PROTECTION REAL ESTATE SETTLEMENT PROCEDURES ACT (REGULATION X) § 1024.7 Good faith estimate. (a) Lender to provide. (1) Except as otherwise provided in...

12 CFR 1024.7 - Good faith estimate.

Code of Federal Regulations, 2013 CFR

2013-01-01

... 12 Banks and Banking 8 2013-01-01 2013-01-01 false Good faith estimate. 1024.7 Section 1024.7 Banks and Banking BUREAU OF CONSUMER FINANCIAL PROTECTION REAL ESTATE SETTLEMENT PROCEDURES ACT (REGULATION X) § 1024.7 Good faith estimate. (a) Lender to provide. (1) Except as otherwise provided in...

24 CFR 3500.7 - Good faith estimate.

Code of Federal Regulations, 2013 CFR

2013-04-01

... 24 Housing and Urban Development 5 2013-04-01 2013-04-01 false Good faith estimate. 3500.7 Section 3500.7 Housing and Urban Development Regulations Relating to Housing and Urban Development (Continued... DEVELOPMENT REAL ESTATE SETTLEMENT PROCEDURES ACT § 3500.7 Good faith estimate. (a) Lender to provide. (1...

24 CFR 3500.7 - Good faith estimate.

Code of Federal Regulations, 2011 CFR

2011-04-01

... 24 Housing and Urban Development 5 2011-04-01 2011-04-01 false Good faith estimate. 3500.7 Section 3500.7 Housing and Urban Development Regulations Relating to Housing and Urban Development (Continued... DEVELOPMENT REAL ESTATE SETTLEMENT PROCEDURES ACT § 3500.7 Good faith estimate. (a) Lender to provide. (1...

24 CFR 3500.7 - Good faith estimate.

Code of Federal Regulations, 2014 CFR

2014-04-01

... 24 Housing and Urban Development 5 2014-04-01 2014-04-01 false Good faith estimate. 3500.7 Section 3500.7 Housing and Urban Development Regulations Relating to Housing and Urban Development (Continued... DEVELOPMENT REAL ESTATE SETTLEMENT PROCEDURES ACT § 3500.7 Good faith estimate. (a) Lender to provide. (1...

24 CFR 3500.7 - Good faith estimate.

Code of Federal Regulations, 2012 CFR

2012-04-01

... 24 Housing and Urban Development 5 2012-04-01 2012-04-01 false Good faith estimate. 3500.7 Section 3500.7 Housing and Urban Development Regulations Relating to Housing and Urban Development (Continued... DEVELOPMENT REAL ESTATE SETTLEMENT PROCEDURES ACT § 3500.7 Good faith estimate. (a) Lender to provide. (1...

Toward an Aristotelian Conception of Good Listening

ERIC Educational Resources Information Center

Rice, Suzanne

2011-01-01

In this essay Suzanne Rice examines Aristotle's ideas about virtue, character, and education as elements in an Aristotelian conception of good listening. Rice begins by surveying of several different contexts in which listening typically occurs, using this information to introduce the argument that what should count as "good listening" must be…

Texas FFA Officer Perceptions of Good Followership

ERIC Educational Resources Information Center

Ferrell, Susan Kate; Boyd, Barry L.; Rayfield, John

2013-01-01

This study examines Texas FFA officers' perceptions regarding the traits and characteristics that good followers possess. A content analysis of officer responses to an open-ended question found that these young leaders have a limited level of understanding of what constitutes a good follower. Furthermore, female respondents placed a greater…

What Good are Positive Emotions for Treatment? Trait Positive Emotionality Predicts Response to Cognitive Behavioral Therapy for Anxiety

PubMed Central

Taylor, Charles T.; Knapp, Sarah E.; Bomyea, Jessica A.; Ramsawh, Holly J.; Paulus, Martin P.; Stein, Murray B.

2017-01-01

Objective Cognitive behavioral therapy (CBT) is empirically supported for the treatment of anxiety disorders; however, not all individuals achieve recovery following CBT. Positive emotions serve a number of functions that theoretically should facilitate response to CBT – they promote flexible patterns of information processing and assimilation of new information, encourage approach-oriented behavior, and speed physiological recovery from negative emotions. We conducted a secondary analysis of an existing clinical trial dataset to test the a priori hypothesis that individual differences in trait positive emotions would predict CBT response for anxiety. Method Participants meeting diagnostic criteria for panic disorder (n=28) or generalized anxiety disorder (n=31) completed 10 weekly individual CBT sessions. Trait positive emotionality was assessed at pre-treatment, and severity of anxiety symptoms and associated impairment was assessed throughout treatment. Results Participants who reported a greater propensity to experience positive emotions at pre-treatment displayed the largest reduction in anxiety symptoms as well as fewer symptoms following treatment. Positive emotions remained a robust predictor of change in symptoms when controlling for baseline depression severity. Conclusions Initial evidence supports the predictive value of trait positive emotions as a prognostic indicator for CBT outcome in a GAD and PD sample. PMID:28342947

What good are positive emotions for treatment? Trait positive emotionality predicts response to Cognitive Behavioral Therapy for anxiety.

PubMed

Taylor, Charles T; Knapp, Sarah E; Bomyea, Jessica A; Ramsawh, Holly J; Paulus, Martin P; Stein, Murray B

2017-06-01

Cognitive behavioral therapy (CBT) is empirically supported for the treatment of anxiety disorders; however, not all individuals achieve recovery following CBT. Positive emotions serve a number of functions that theoretically should facilitate response to CBT - they promote flexible patterns of information processing and assimilation of new information, encourage approach-oriented behavior, and speed physiological recovery from negative emotions. We conducted a secondary analysis of an existing clinical trial dataset to test the a priori hypothesis that individual differences in trait positive emotions would predict CBT response for anxiety. Participants meeting diagnostic criteria for panic disorder (n = 28) or generalized anxiety disorder (n = 31) completed 10 weekly individual CBT sessions. Trait positive emotionality was assessed at pre-treatment, and severity of anxiety symptoms and associated impairment was assessed throughout treatment. Participants who reported a greater propensity to experience positive emotions at pre-treatment displayed the largest reduction in anxiety symptoms as well as fewer symptoms following treatment. Positive emotions remained a robust predictor of change in symptoms when controlling for baseline depression severity. Initial evidence supports the predictive value of trait positive emotions as a prognostic indicator for CBT outcome in a GAD and PD sample. Copyright © 2017 Elsevier Ltd. All rights reserved.

Quantifying effectiveness of failure prediction and response in HPC systems : methodology and example.

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

Mayo, Jackson R.; Chen, Frank Xiaoxiao; Pebay, Philippe Pierre

2010-06-01

Effective failure prediction and mitigation strategies in high-performance computing systems could provide huge gains in resilience of tightly coupled large-scale scientific codes. These gains would come from prediction-directed process migration and resource servicing, intelligent resource allocation, and checkpointing driven by failure predictors rather than at regular intervals based on nominal mean time to failure. Given probabilistic associations of outlier behavior in hardware-related metrics with eventual failure in hardware, system software, and/or applications, this paper explores approaches for quantifying the effects of prediction and mitigation strategies and demonstrates these using actual production system data. We describe context-relevant methodologies for determining themore » accuracy and cost-benefit of predictors. While many research studies have quantified the expected impact of growing system size, and the associated shortened mean time to failure (MTTF), on application performance in large-scale high-performance computing (HPC) platforms, there has been little if any work to quantify the possible gains from predicting system resource failures with significant but imperfect accuracy. This possibly stems from HPC system complexity and the fact that, to date, no one has established any good predictors of failure in these systems. Our work in the OVIS project aims to discover these predictors via a variety of data collection techniques and statistical analysis methods that yield probabilistic predictions. The question then is, 'How good or useful are these predictions?' We investigate methods for answering this question in a general setting, and illustrate them using a specific failure predictor discovered on a production system at Sandia.« less