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The Center For Computational Biology: Resources, Achievements, And Challenges, Ivo Dinov 2010 UCLA

The Center For Computational Biology: Resources, Achievements, And Challenges, Ivo Dinov

Ivo D Dinov

The Center for Computational Biology (CCB) is a multidisciplinary program where biomedical scientists, engineers, and clinicians work jointly to combine modern mathematical and computational techniques, to perform phenotypic and genotypic studies of biological structure, function, and physiology in health and disease. CCB has developed a computational framework built around the Manifold Atlas, an integrated biomedical computing environment that enables statistical inference on biological manifolds. These manifolds model biological structures, features, shapes, and flows, and support sophisticated morphometric and statistical analyses. The Manifold Atlas includes tools, workflows, and services for multimodal population-based modeling and analysis of biological manifolds. The broad spectrum ...


Approximate Solution Of Fractional Integro-Differential Equations By Taylor Expansion Method, Li Huang 2010 Hunan University of Technology

Approximate Solution Of Fractional Integro-Differential Equations By Taylor Expansion Method, Li Huang

Li Huang

In this paper, Taylor expansion approach is presented for solving (approximately) a class of inear fractional integro-differential equations including those of Fredholm and of Volterra types. By means of themth-order Taylor expansion of the unknown function at an arbitrary point, the linear fractional integro-differential equation can be converted approximately to a system of equations for the unknown function itself and its m derivatives under initial conditions. This method gives a simple and closed form solution for a linear fractional integro-differential equation. In addition, illustrative examples are presented to demonstrate the efficiency and accuracy of the proposed method.


Cuda Optimization Strategies For Compute- And Memory-Bound Neuroimaging Algorithms, Ivo Dinov 2010 University of Michigan - Ann Arbor

Cuda Optimization Strategies For Compute- And Memory-Bound Neuroimaging Algorithms, Ivo Dinov

Ivo D Dinov

As neuroimaging algorithms and technology continue to grow faster than CPU performance in complexity and image resolution, data-parallel computing methods will be increasingly important. The high performance, data-parallel architecture of modern graphical processing units (GPUs) can reduce computational times by orders of magnitude. However, its massively threaded architecture introduces challenges when GPU resources are exceeded. This paper presents optimization strategies for compute- and memory-bound algorithms for the CUDA architecture. For compute-bound algorithms, the registers are reduced through variable reuse via shared memory and the data throughput is increased through heavier thread workloads and maximizing the thread configuration for a single ...


R By Example, Jim Albert, Maria Rizzo 2010 Bowling Green State University - Main Campus

R By Example, Jim Albert, Maria Rizzo

Jim Albert

No abstract provided.


Resting-State Fmri Can Reliably Map Neural Networks In Children, Ivo Dinov 2010 University of Michigan - Ann Arbor

Resting-State Fmri Can Reliably Map Neural Networks In Children, Ivo Dinov

Ivo D Dinov

Resting-state MRI (rs-fMRI) is a powerful procedure for studying whole-brain neural connectivity. In this study we provide the first empirical evidence of the longitudinal reliability of rs-fMRI in children. We compared rest–retest measurements across spatial, temporal and frequency domains for each of six cognitive and sensorimotor intrinsic connectivity networks (ICNs) both within and between scan sessions. Using Kendall's W, concordance of spatial maps ranged from .60 to .86 across networks, for various derived measures. The Pearson correlation coefficient for temporal coherence between networks across all Time 1–Time 2 (T1/T2) z-converted measures was .66 (p < .001). There were no differences between T1/T2 measurements in low-frequency power of the ICNs. For the visual network, within-session T1 correlated with the T2 low-frequency power, across participants. These measures from resting-state data in children were consistent across multiple domains (spatial, temporal, and frequency). Resting-state connectivity is therefore a reliable method for assessing large-scale brain networks in children.


Neurological Imaging: Statistics Behind The Pictures, Ivo Dinov 2010 University of Michigan - Ann Arbor

Neurological Imaging: Statistics Behind The Pictures, Ivo Dinov

Ivo D Dinov

Neurological imaging represents a powerful paradigm for investigation of brain structure, physiology and function across different scales. The diverse phenotypes and significant normal and pathological brain variability demand reliable and efficient statistical methodologies to model, analyze and interpret raw neurological images and derived geometric information from these images. The validity, reproducibility and power of any statistical brain map require appropriate inference on large cohorts, significant community validation, and multidisciplinary collaborations between physicians, engineers and statisticians.


Automated Hippocampal Shape Analysis Predicts The Onset Of Dementia In Mild Cognitive Impairment, Ivo Dinov 2010 University of Michigan - Ann Arbor

Automated Hippocampal Shape Analysis Predicts The Onset Of Dementia In Mild Cognitive Impairment, Ivo Dinov

Ivo D Dinov

The hippocampus is involved at the onset of the neuropathological pathways leading to Alzheimer's disease (AD). Individuals with mild cognitive impairment (MCI) are at increased risk of AD. Hippocampal volume has been shown to predict which MCI subjects will convert to AD. Our aim in the present study was to produce a fully automated prognostic procedure, scalable to high throughput clinical and research applications, for the prediction of MCI conversion to AD using 3D hippocampal morphology. We used an automated analysis for the extraction and mapping of the hippocampus from structural magnetic resonance scans to extract 3D hippocampal shape ...


Cognitive Effects Of Argument Visualization Tools, Michael H.G. Hoffmann 2010 Georgia Institute of Technology - Main Campus

Cognitive Effects Of Argument Visualization Tools, Michael H.G. Hoffmann

Michael H.G. Hoffmann

External representations play a crucial role in learning. At the same time, cognitive load theory suggests that the possibility of learning depends on limited resources of the working memory and on cognitive load imposed by instructional design and representation tools. Both these observations motivate a critical look at Computer-Supported Argument Visualization (CSAV) tools that are supposed to facilitate learning. This paper uses cognitive load theory to compare the cognitive efficacy of RationaleTM 2 and AGORA.


An Algorithm For Solving Multi-Term Diffusion-Wave Equations Of Fractional Order, Habibolla Latifizadeh 2010 Shiraz University of Technology

An Algorithm For Solving Multi-Term Diffusion-Wave Equations Of Fractional Order, Habibolla Latifizadeh

H. L. Zadeh

No abstract provided.


Homotopy Perturbation Sumudu Transform Method For Nonlinear Equations, Habibolla Latifizadeh 2010 Shiraz University of Technology

Homotopy Perturbation Sumudu Transform Method For Nonlinear Equations, Habibolla Latifizadeh

H. L. Zadeh

No abstract provided.


The Homotopy Perturbation Method For Free Vibration Analysis Of Beam On Elastic Foundation, Habibolla Latifizadeh 2010 Shiraz University of Technology

The Homotopy Perturbation Method For Free Vibration Analysis Of Beam On Elastic Foundation, Habibolla Latifizadeh

H. L. Zadeh

No abstract provided.


A Spectral Element Approach For The Stability Of Delay Systems, Habibolla Latifizadeh 2010 Shiraz University of Technology

A Spectral Element Approach For The Stability Of Delay Systems, Habibolla Latifizadeh

H. L. Zadeh

No abstract provided.


Analytical Solution Of Amperometric Enzymatic Reactions Based On Homotopy Perturbation Method, Habibolla Latifizadeh 2010 Shiraz University of Technology

Analytical Solution Of Amperometric Enzymatic Reactions Based On Homotopy Perturbation Method, Habibolla Latifizadeh

H. L. Zadeh

No abstract provided.


On The Coupling Of Homotopy Perturbation Method And Laplace Transformation, Habibolla Latifizadeh 2010 Shiraz University of Technology

On The Coupling Of Homotopy Perturbation Method And Laplace Transformation, Habibolla Latifizadeh

H. L. Zadeh

No abstract provided.


The Effects Of Variable Viscosity And Thermal Conductivity On A Thin Film Flow Over A Shrinking/Stretching Sheet, Habibolla Latifizadeh 2010 Shiraz University of Technology

The Effects Of Variable Viscosity And Thermal Conductivity On A Thin Film Flow Over A Shrinking/Stretching Sheet, Habibolla Latifizadeh

H. L. Zadeh

No abstract provided.


Creation, Coordination, And Activation Of Resources In Physics And Mathematics Learning, Michael J. Wittmann, John R. Thompson, John Donovan 2010 Principal Investigator; University of Maine, Orono

Creation, Coordination, And Activation Of Resources In Physics And Mathematics Learning, Michael J. Wittmann, John R. Thompson, John Donovan

University of Maine Office of Research and Sponsored Programs: Grant Reports

This project seeks to study introductory college level courses in physics, mechanics, and mathematics. The research questions involve the processes by which students become able to use resources across contexts (such as between mathematics and physics), how ideas in math and physics form a resource network, and what mechanisms trigger individual resources or coordinated networks.

The researcher will conduct clinical interviews, small group interviews, and statistical analysis of survey questions as well as videos from classroom and help sessions. The data being collected would be analyzed for purpose of describing the development of students as they refine skills in mathematics ...


Foundations And Frontiers Of Physics Education Research 2009, Michael J. Wittmann, Paula Heron, Rachel Scherr 2010 Principal Investigator; University of Maine, Orono

Foundations And Frontiers Of Physics Education Research 2009, Michael J. Wittmann, Paula Heron, Rachel Scherr

University of Maine Office of Research and Sponsored Programs: Grant Reports

This project is a conference on the "Foundations and Frontiers of Physics Education Research," in which established and up-and-coming researchers attend a residential conference to further the work of the field. There are 60 participants, including senior graduate students, research scientists, junior, and tenured faculty. The conference consists of a series of plenary talks by leaders in the community; working groups of participants to address common problems in the field and present recommendations for future work; and targeted sessions in which research topics are explored in detail by participants. Ample free time is also included, allowing for informal discussions and ...


An Exploration Into How Physical Activity Data-Recording Devices Could Be Used In Computer-Supported Data Investigations, Victor R. Lee, Maneksha DuMont 2010 Utah State University

An Exploration Into How Physical Activity Data-Recording Devices Could Be Used In Computer-Supported Data Investigations, Victor R. Lee, Maneksha Dumont

Instructional Technology and Learning Sciences Faculty Publications

There is a great potential opportunity to use portable physical activity monitoring devices as data collection tools for educational purposes. Using one such device, we designed and implemented a weeklong workshop with high school students to test the utility of such technology. During that intervention, students performed data investigations of physical activity that culminated in the design and implementation of their own studies. In this paper, we explore some of the mathematical thinking that took place through a series of vignettes of a pair of students engaged in analyzing some of their own activity data. A personal connection to the ...


How Different Variants Of Orbit Diagrams Influence Students' Explanations Of The Seasons, Victor R. Lee 2010 Utah State University

How Different Variants Of Orbit Diagrams Influence Students' Explanations Of The Seasons, Victor R. Lee

Victor R Lee

The cause of the seasons is often associated with a very particular alternative conception: that the Earth’s orbit around the sun is highly elongated and the differences in distance result in variations in temperature. It has been suggested that the standard diagrams used to depict the Earth’s orbit may be in some way responsible for the initial appearance and overall maintenance of this incorrect conceptualization; the elongated shape of the orbit is thought of as a conceptualization cue that invites a fairly predictable way of reasoning. To test if that is indeed the case, six variants of diagrams ...


Coherence, Contradiction, And The Development Of School Science Identities, Stacy Olitsky 2010 Saint Joseph's University

Coherence, Contradiction, And The Development Of School Science Identities, Stacy Olitsky

Education

This study demonstrates the potential for collaborative research among participants in local settings to effect positive change in urban settings characterized by diversity. It describes an interpretive case study of a racially, ethnically, and socioeconomically diverse eighth grade science classroom in an urban magnet school in order to explore why some of the students did not achieve at high levels and identify with school science although they were both interested in and knowledgeable about science. The results of this study indicated that structural issues such as the school’s selection process, the discourses perpetuated by teachers, administrators, and peers regarding ...


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