3,588 research outputs found
The benefits of art analysis in English 101: multilingual and American writers respond to artwork of their choice
This thesis details a case study carried out in the Summer of 2011 at Eastern Washington University in an English 101 Classroom. The students wrote art analysis essays and the researcher collected the essays and analyzed them for patterns or themes. The students participating in the thesis included Chinese, Saudi Arabian, Mexican-American, Japanese and American students. The essays were categorized and analyzed based on language group --Document
Particle Multiplicity in Jets and Sub-jets with Jet Axis from Color Current
We study the particle multiplicity in a jet or sub-jet as derived from an
energy-multiplicity 2-particle correlation. This definition avoids the notion
of a globally fixed jet axis and allows for the study of smaller jet cone
openings in a more stable way. The results are sensitive to the mean color
current in the jet from primary parton which takes into
account intermediate partonic processes in the sub-jet production where at high energies. We generalize previous calculations in
Leading Logarithmic Approximation (LLA). The size of the effects related to
this jet axis definition are computed for multiplicities in sub-jets with
different opening angles and energies by including contributions from the
Modified LLA (MLLA) and Next-to-MLLA to the leading order QCD results
Phonemic Awareness: One Approach To Individualized Instruction
This study examined the effectiveness of a recently developed set of individualized lessons for kindergarten children at-risk for reading problems because of limited phonemic awareness skills. Four participants were selected via teacher referral and a score below the 25th percentile on the Test of Phonological Awareness. Sixteen lessons (focusing on six phonemes) and weekly assessments followed the selection of the participants. Each child was individually instructed in two 10-15 minute sessions each week for eight weeks and then given an assessment at the end of each week. Single case design was utilized to document the effectiveness of the lessons. Results indicated that the lessons were effective for three of the four children. Possible explanations are discussed as to why the fourth child did not progress as well as the other three children. Implications for the use of individualized instruction on phonemic awareness for phonologically at-risk children are discussed
On the high order multiplicity moments
The description of multiplicity distributions in terms of the ratios of
cumulants to factorial moments is analyzed both for data and for the Monte
Carlo generated events. For the PYTHIA generated events the moments are
investigated for the restricted range of phase-space and for the jets
reconstructed from single particle momenta. The results cast doubts on the
validity of extended local parton-hadron duality and suggest the possibility of
more effective experimental investigations concerning the origin of the
observed structure in the dependence of moments on their order.Comment: 10 pages, 5 figures; corrected version to be published in JP
ON QUASI-NEWTON FORWARD-BACKWARD SPLITTING: PROXIMAL CALCULUS AND CONVERGENCE
International audienceWe introduce a framework for quasi-Newton forward--backward splitting algorithms (proximal quasi-Newton methods) with a metric induced by diagonal rank- symmetric positive definite matrices. This special type of metric allows for a highly efficient evaluation of the proximal mapping. The key to this efficiency is a general proximal calculus in the new metric. By using duality, formulas are derived that relate the proximal mapping in a rank- modified metric to the original metric. We also describe efficient implementations of the proximity calculation for a large class of functions; the implementations exploit the piece-wise linear nature of the dual problem. Then, we apply these results to acceleration of composite convex minimization problems, which leads to elegant quasi-Newton methods for which we prove convergence. The algorithm is tested on several numerical examples and compared to a comprehensive list of alternatives in the literature. Our quasi-Newton splitting algorithm with the prescribed metric compares favorably against state-of-the-art. The algorithm has extensive applications including signal processing, sparse recovery, machine learning and classification to name a few
Deep Bilevel Learning
We present a novel regularization approach to train neural networks that
enjoys better generalization and test error than standard stochastic gradient
descent. Our approach is based on the principles of cross-validation, where a
validation set is used to limit the model overfitting. We formulate such
principles as a bilevel optimization problem. This formulation allows us to
define the optimization of a cost on the validation set subject to another
optimization on the training set. The overfitting is controlled by introducing
weights on each mini-batch in the training set and by choosing their values so
that they minimize the error on the validation set. In practice, these weights
define mini-batch learning rates in a gradient descent update equation that
favor gradients with better generalization capabilities. Because of its
simplicity, this approach can be integrated with other regularization methods
and training schemes. We evaluate extensively our proposed algorithm on several
neural network architectures and datasets, and find that it consistently
improves the generalization of the model, especially when labels are noisy.Comment: ECCV 201
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Relationship between adiposity and admixture in African-American and Hispanic-American women.
ObjectiveThe objective of this study was to investigate whether differences in admixture in African-American (AFA) and Hispanic-American (HA) adult women are associated with adiposity and adipose distribution.DesignThe proportion of European, sub-Saharan African and Amerindian admixture was estimated for AFA and HA women in the Women's Heath Initiative using 92 ancestry informative markers. Analyses assessed the relationship between admixture and adiposity indices.SubjectsThe subjects included 11 712 AFA and 5088 HA self-identified post-menopausal women.ResultsThere was a significant positive association between body mass index (BMI) and African admixture when BMI was considered as a continuous variable, and age, education, physical activity, parity, family income and smoking were included covariates (P<10(-4)). A dichotomous model (upper and lower BMI quartiles) showed that African admixture was associated with a high odds ratio (OR=3.27 (for 100% admixture compared with 0% admixture), 95% confidence interval 2.08-5.15). For HA, there was no association between BMI and admixture. In contrast, when waist-to-hip ratio (WHR) was used as a measure of adipose distribution, there was no significant association between WHR and admixture in AFA but there was a strong association in HA (P<10(-4); OR Amerindian admixture=5.93, confidence interval=3.52-9.97).ConclusionThese studies show that: (1) African admixture is associated with BMI in AFA women; (2) Amerindian admixture is associated with WHR but not BMI in HA women; and (3) it may be important to consider different measurements of adiposity and adipose distribution in different ethnic population groups
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