On improving the efficiency of tensor voting.
Moreno, Rodrigo; Garcia, Miguel Angel; Puig, Domenec; Pizarro, Luis; Burgeth, Bernhard; Weickert, Joachim
2011-11-01
This paper proposes two alternative formulations to reduce the high computational complexity of tensor voting, a robust perceptual grouping technique used to extract salient information from noisy data. The first scheme consists of numerical approximations of the votes, which have been derived from an in-depth analysis of the plate and ball voting processes. The second scheme simplifies the formulation while keeping the same perceptual meaning of the original tensor voting: The stick tensor voting and the stick component of the plate tensor voting must reinforce surfaceness, the plate components of both the plate and ball tensor voting must boost curveness, whereas junctionness must be strengthened by the ball component of the ball tensor voting. Two new parameters have been proposed for the second formulation in order to control the potentially conflictive influence of the stick component of the plate vote and the ball component of the ball vote. Results show that the proposed formulations can be used in applications where efficiency is an issue since they have a complexity of order O(1). Moreover, the second proposed formulation has been shown to be more appropriate than the original tensor voting for estimating saliencies by appropriately setting the two new parameters.
Variational optical flow estimation based on stick tensor voting.
Rashwan, Hatem A; Garcia, Miguel A; Puig, Domenec
2013-07-01
Variational optical flow techniques allow the estimation of flow fields from spatio-temporal derivatives. They are based on minimizing a functional that contains a data term and a regularization term. Recently, numerous approaches have been presented for improving the accuracy of the estimated flow fields. Among them, tensor voting has been shown to be particularly effective in the preservation of flow discontinuities. This paper presents an adaptation of the data term by using anisotropic stick tensor voting in order to gain robustness against noise and outliers with significantly lower computational cost than (full) tensor voting. In addition, an anisotropic complementary smoothness term depending on directional information estimated through stick tensor voting is utilized in order to preserve discontinuity capabilities of the estimated flow fields. Finally, a weighted non-local term that depends on both the estimated directional information and the occlusion state of pixels is integrated during the optimization process in order to denoise the final flow field. The proposed approach yields state-of-the-art results on the Middlebury benchmark.
Loss, Leandro A.; Bebis, George; Parvin, Bahram
2012-01-01
In this paper, a novel approach is proposed for perceptual grouping and localization of ill-defined curvilinear structures. Our approach builds upon the tensor voting and the iterative voting frameworks. Its efficacy lies on iterative refinements of curvilinear structures by gradually shifting from an exploratory to an exploitative mode. Such a mode shifting is achieved by reducing the aperture of the tensor voting fields, which is shown to improve curve grouping and inference by enhancing the concentration of the votes over promising, salient structures. The proposed technique is applied to delineation of adherens junctions imaged through fluorescence microscopy. This class of membrane-bound macromolecules maintains tissue structural integrity and cell-cell interactions. Visually, it exhibits fibrous patterns that may be diffused, punctate and frequently perceptual. Besides the application to real data, the proposed method is compared to prior methods on synthetic and annotated real data, showing high precision rates. PMID:21421432
Iterative tensor voting for perceptual grouping of ill-defined curvilinear structures.
Loss, Leandro A; Bebis, George; Parvin, Bahram
2011-08-01
In this paper, a novel approach is proposed for perceptual grouping and localization of ill-defined curvilinear structures. Our approach builds upon the tensor voting and the iterative voting frameworks. Its efficacy lies on iterative refinements of curvilinear structures by gradually shifting from an exploratory to an exploitative mode. Such a mode shifting is achieved by reducing the aperture of the tensor voting fields, which is shown to improve curve grouping and inference by enhancing the concentration of the votes over promising, salient structures. The proposed technique is validated on delineating adherens junctions that are imaged through fluorescence microscopy. However, the method is also applicable for screening other organisms based on characteristics of their cell wall structures. Adherens junctions maintain tissue structural integrity and cell-cell interactions. Visually, they exhibit fibrous patterns that may be diffused, heterogeneous in fluorescence intensity, or punctate and frequently perceptual. Besides the application to real data, the proposed method is compared to prior methods on synthetic and annotated real data, showing high precision rates.
Inference of segmented color and texture description by tensor voting.
Jia, Jiaya; Tang, Chi-Keung
2004-06-01
A robust synthesis method is proposed to automatically infer missing color and texture information from a damaged 2D image by (N)D tensor voting (N > 3). The same approach is generalized to range and 3D data in the presence of occlusion, missing data and noise. Our method translates texture information into an adaptive (N)D tensor, followed by a voting process that infers noniteratively the optimal color values in the (N)D texture space. A two-step method is proposed. First, we perform segmentation based on insufficient geometry, color, and texture information in the input, and extrapolate partitioning boundaries by either 2D or 3D tensor voting to generate a complete segmentation for the input. Missing colors are synthesized using (N)D tensor voting in each segment. Different feature scales in the input are automatically adapted by our tensor scale analysis. Results on a variety of difficult inputs demonstrate the effectiveness of our tensor voting approach.
Voting based object boundary reconstruction
NASA Astrophysics Data System (ADS)
Tian, Qi; Zhang, Like; Ma, Jingsheng
2005-07-01
A voting-based object boundary reconstruction approach is proposed in this paper. Morphological technique was adopted in many applications for video object extraction to reconstruct the missing pixels. However, when the missing areas become large, the morphological processing cannot bring us good results. Recently, Tensor voting has attracted people"s attention, and it can be used for boundary estimation on curves or irregular trajectories. However, the complexity of saliency tensor creation limits its applications in real-time systems. An alternative approach based on tensor voting is introduced in this paper. Rather than creating saliency tensors, we use a "2-pass" method for orientation estimation. For the first pass, Sobel d*etector is applied on a coarse boundary image to get the gradient map. In the second pass, each pixel puts decreasing weights based on its gradient information, and the direction with maximum weights sum is selected as the correct orientation of the pixel. After the orientation map is obtained, pixels begin linking edges or intersections along their direction. The approach is applied to various video surveillance clips under different conditions, and the experimental results demonstrate significant improvement on the final extracted objects accuracy.
Motion Detection in Ultrasound Image-Sequences Using Tensor Voting
NASA Astrophysics Data System (ADS)
Inba, Masafumi; Yanagida, Hirotaka; Tamura, Yasutaka
2008-05-01
Motion detection in ultrasound image sequences using tensor voting is described. We have been developing an ultrasound imaging system adopting a combination of coded excitation and synthetic aperture focusing techniques. In our method, frame rate of the system at distance of 150 mm reaches 5000 frame/s. Sparse array and short duration coded ultrasound signals are used for high-speed data acquisition. However, many artifacts appear in the reconstructed image sequences because of the incompleteness of the transmitted code. To reduce the artifacts, we have examined the application of tensor voting to the imaging method which adopts both coded excitation and synthetic aperture techniques. In this study, the basis of applying tensor voting and the motion detection method to ultrasound images is derived. It was confirmed that velocity detection and feature enhancement are possible using tensor voting in the time and space of simulated ultrasound three-dimensional image sequences.
Tensor voting for image correction by global and local intensity alignment.
Jia, Jiaya; Tang, Chi-Keung
2005-01-01
This paper presents a voting method to perform image correction by global and local intensity alignment. The key to our modeless approach is the estimation of global and local replacement functions by reducing the complex estimation problem to the robust 2D tensor voting in the corresponding voting spaces. No complicated model for replacement function (curve) is assumed. Subject to the monotonic constraint only, we vote for an optimal replacement function by propagating the curve smoothness constraint using a dense tensor field. Our method effectively infers missing curve segments and rejects image outliers. Applications using our tensor voting approach are proposed and described. The first application consists of image mosaicking of static scenes, where the voted replacement functions are used in our iterative registration algorithm for computing the best warping matrix. In the presence of occlusion, our replacement function can be employed to construct a visually acceptable mosaic by detecting occlusion which has large and piecewise constant color. Furthermore, by the simultaneous consideration of color matches and spatial constraints in the voting space, we perform image intensity compensation and high contrast image correction using our voting framework, when only two defective input images are given.
Robust estimation of adaptive tensors of curvature by tensor voting.
Tong, Wai-Shun; Tang, Chi-Keung
2005-03-01
Although curvature estimation from a given mesh or regularly sampled point set is a well-studied problem, it is still challenging when the input consists of a cloud of unstructured points corrupted by misalignment error and outlier noise. Such input is ubiquitous in computer vision. In this paper, we propose a three-pass tensor voting algorithm to robustly estimate curvature tensors, from which accurate principal curvatures and directions can be calculated. Our quantitative estimation is an improvement over the previous two-pass algorithm, where only qualitative curvature estimation (sign of Gaussian curvature) is performed. To overcome misalignment errors, our improved method automatically corrects input point locations at subvoxel precision, which also rejects outliers that are uncorrectable. To adapt to different scales locally, we define the RadiusHit of a curvature tensor to quantify estimation accuracy and applicability. Our curvature estimation algorithm has been proven with detailed quantitative experiments, performing better in a variety of standard error metrics (percentage error in curvature magnitudes, absolute angle difference in curvature direction) in the presence of a large amount of misalignment noise.
Comments on "A Closed-Form Solution to Tensor Voting: Theory and Applications".
Maggiori, Emmanuel; Lotito, Pablo; Manterola, Hugo Luis; del Fresno, Mariana
2014-12-01
We comment on a paper that describes a closed-form formulation to Tensor Voting, a technique to perceptually group clouds of points, usually applied to infer features in images. The authors proved an analytic solution to the technique, a highly relevant contribution considering that the original formulation required numerical integration, a time-consuming task. Their work constitutes the first closed-form expression for the Tensor Voting framework. In this work we first observe that the proposed formulation leads to unexpected results which do not satisfy the constraints for a Tensor Voting output, hence they cannot be interpreted. Given that the closed-form expression is said to be an analytic equivalent solution, unexpected outputs should not be encountered unless there are flaws in the proof. We analyzed the underlying math to find which were the causes of these unexpected results. In this commentary we show that their proposal does not in fact provide a proper analytic solution to Tensor Voting and we indicate the flaws in the proof.
On Adapting the Tensor Voting Framework to Robust Color Image Denoising
NASA Astrophysics Data System (ADS)
Moreno, Rodrigo; Garcia, Miguel Angel; Puig, Domenec; Julià, Carme
This paper presents an adaptation of the tensor voting framework for color image denoising, while preserving edges. Tensors are used in order to encode the CIELAB color channels, the uniformity and the edginess of image pixels. A specific voting process is proposed in order to propagate color from a pixel to its neighbors by considering the distance between pixels, the perceptual color difference (by using an optimized version of CIEDE2000), a uniformity measurement and the likelihood of the pixels being impulse noise. The original colors are corrected with those encoded by the tensors obtained after the voting process. Peak to noise ratios and visual inspection show that the proposed methodology has a better performance than state-of-the-art techniques.
An adaptive tensor voting algorithm combined with texture spectrum
NASA Astrophysics Data System (ADS)
Wang, Gang; Su, Qing-tang; Lü, Gao-huan; Zhang, Xiao-feng; Liu, Yu-huan; He, An-zhi
2015-01-01
An adaptive tensor voting algorithm combined with texture spectrum is proposed. The image texture spectrum is used to get the adaptive scale parameter of voting field. Then the texture information modifies both the attenuation coefficient and the attenuation field so that we can use this algorithm to create more significant and correct structures in the original image according to the human visual perception. At the same time, the proposed method can improve the edge extraction quality, which includes decreasing the flocculent region efficiently and making image clear. In the experiment for extracting pavement cracks, the original pavement image is processed by the proposed method which is combined with the significant curve feature threshold procedure, and the resulted image displays the faint crack signals submerged in the complicated background efficiently and clearly.
Spherical Tensor Calculus for Local Adaptive Filtering
NASA Astrophysics Data System (ADS)
Reisert, Marco; Burkhardt, Hans
In 3D image processing tensors play an important role. While rank-1 and rank-2 tensors are well understood and commonly used, higher rank tensors are rare. This is probably due to their cumbersome rotation behavior which prevents a computationally efficient use. In this chapter we want to introduce the notion of a spherical tensor which is based on the irreducible representations of the 3D rotation group. In fact, any ordinary cartesian tensor can be decomposed into a sum of spherical tensors, while each spherical tensor has a quite simple rotation behavior. We introduce so called tensorial harmonics that provide an orthogonal basis for spherical tensor fields of any rank. It is just a generalization of the well known spherical harmonics. Additionally we propose a spherical derivative which connects spherical tensor fields of different degree by differentiation. Based on the proposed theory we present two applications. We propose an efficient algorithm for dense tensor voting in 3D, which makes use of tensorial harmonics decomposition of the tensor-valued voting field. In this way it is possible to perform tensor voting by linear-combinations of convolutions in an efficient way. Secondly, we propose an anisotropic smoothing filter that uses a local shape and orientation adaptive filter kernel which can be computed efficiently by the use spherical derivatives.
First order augmentation to tensor voting for boundary inference and multiscale analysis in 3D.
Tong, Wai-Shun; Tang, Chi-Keung; Mordohai, Philippos; Medioni, Gérard
2004-05-01
Most computer vision applications require the reliable detection of boundaries. In the presence of outliers, missing data, orientation discontinuities, and occlusion, this problem is particularly challenging. We propose to address it by complementing the tensor voting framework, which was limited to second order properties, with first order representation and voting. First order voting fields and a mechanism to vote for 3D surface and volume boundaries and curve endpoints in 3D are defined. Boundary inference is also useful for a second difficult problem in grouping, namely, automatic scale selection. We propose an algorithm that automatically infers the smallest scale that can preserve the finest details. Our algorithm then proceeds with progressively larger scales to ensure continuity where it has not been achieved. Therefore, the proposed approach does not oversmooth features or delay the handling of boundaries and discontinuities until model misfit occurs. The interaction of smooth features, boundaries, and outliers is accommodated by the unified representation, making possible the perceptual organization of data in curves, surfaces, volumes, and their boundaries simultaneously. We present results on a variety of data sets to show the efficacy of the improved formalism.
A closed-form solution to tensor voting: theory and applications.
Wu, Tai-Pang; Yeung, Sai-Kit; Jia, Jiaya; Tang, Chi-Keung; Medioni, Gérard
2012-08-01
We prove a closed-form solution to tensor voting (CFTV): Given a point set in any dimensions, our closed-form solution provides an exact, continuous, and efficient algorithm for computing a structure-aware tensor that simultaneously achieves salient structure detection and outlier attenuation. Using CFTV, we prove the convergence of tensor voting on a Markov random field (MRF), thus termed as MRFTV, where the structure-aware tensor at each input site reaches a stationary state upon convergence in structure propagation. We then embed structure-aware tensor into expectation maximization (EM) for optimizing a single linear structure to achieve efficient and robust parameter estimation. Specifically, our EMTV algorithm optimizes both the tensor and fitting parameters and does not require random sampling consensus typically used in existing robust statistical techniques. We performed quantitative evaluation on its accuracy and robustness, showing that EMTV performs better than the original TV and other state-of-the-art techniques in fundamental matrix estimation for multiview stereo matching. The extensions of CFTV and EMTV for extracting multiple and nonlinear structures are underway.
Shape-from-focus by tensor voting.
Hariharan, R; Rajagopalan, A N
2012-07-01
In this correspondence, we address the task of recovering shape-from-focus (SFF) as a perceptual organization problem in 3-D. Using tensor voting, depth hypotheses from different focus operators are validated based on their likelihood to be part of a coherent 3-D surface, thereby exploiting scene geometry and focus information to generate reliable depth estimates. The proposed method is fast and yields significantly better results compared with existing SFF methods.
Mesh Denoising based on Normal Voting Tensor and Binary Optimization.
Yadav, Sunil Kumar; Reitebuch, Ulrich; Polthier, Konrad
2017-08-17
This paper presents a two-stage mesh denoising algorithm. Unlike other traditional averaging approaches, our approach uses an element-based normal voting tensor to compute smooth surfaces. By introducing a binary optimization on the proposed tensor together with a local binary neighborhood concept, our algorithm better retains sharp features and produces smoother umbilical regions than previous approaches. On top of that, we provide a stochastic analysis on the different kinds of noise based on the average edge length. The quantitative results demonstrate that the performance of our method is better compared to state-of-the-art smoothing approaches.
2006-09-01
Medioni, [11], estimates the local dimension using tensor voting . These recent works have clearly shown the necessity to go beyond manifold learning, into...2005. [11] P. Mordohai and G. Medioni. Unsupervised dimensionality estimation and manifold learning in high-dimensional spaces by tensor voting . In...walking, jumping, and arms waving. The whole run took 361 seconds in Matlab , while the classification time (PMM) can be neglected compared to the kNN
Robotic Online Path Planning on Point Cloud.
Liu, Ming
2016-05-01
This paper deals with the path-planning problem for mobile wheeled- or tracked-robot which drive in 2.5-D environments, where the traversable surface is usually considered as a 2-D-manifold embedded in a 3-D ambient space. Specially, we aim at solving the 2.5-D navigation problem using raw point cloud as input. The proposed method is independent of traditional surface parametrization or reconstruction methods, such as a meshing process, which generally has high-computational complexity. Instead, we utilize the output of 3-D tensor voting framework on the raw point clouds. The computation of tensor voting is accelerated by optimized implementation on graphics computation unit. Based on the tensor voting results, a novel local Riemannian metric is defined using the saliency components, which helps the modeling of the latent traversable surface. Using the proposed metric, we prove that the geodesic in the 3-D tensor space leads to rational path-planning results by experiments. Compared to traditional methods, the results reveal the advantages of the proposed method in terms of smoothing the robot maneuver while considering the minimum travel distance.
Vessel Enhancement and Segmentation of 4D CT Lung Image Using Stick Tensor Voting
NASA Astrophysics Data System (ADS)
Cong, Tan; Hao, Yang; Jingli, Shi; Xuan, Yang
2016-12-01
Vessel enhancement and segmentation plays a significant role in medical image analysis. This paper proposes a novel vessel enhancement and segmentation method for 4D CT lung image using stick tensor voting algorithm, which focuses on addressing the vessel distortion issue of vessel enhancement diffusion (VED) method. Furthermore, the enhanced results are easily segmented using level-set segmentation. In our method, firstly, vessels are filtered using Frangi's filter to reduce intrapulmonary noises and extract rough blood vessels. Secondly, stick tensor voting algorithm is employed to estimate the correct direction along the vessel. Then the estimated direction along the vessel is used as the anisotropic diffusion direction of vessel in VED algorithm, which makes the intensity diffusion of points locating at the vessel wall be consistent with the directions of vessels and enhance the tubular features of vessels. Finally, vessels can be extracted from the enhanced image by applying level-set segmentation method. A number of experiments results show that our method outperforms traditional VED method in vessel enhancement and results in satisfied segmented vessels.
Three-dimensional model-based object recognition and segmentation in cluttered scenes.
Mian, Ajmal S; Bennamoun, Mohammed; Owens, Robyn
2006-10-01
Viewpoint independent recognition of free-form objects and their segmentation in the presence of clutter and occlusions is a challenging task. We present a novel 3D model-based algorithm which performs this task automatically and efficiently. A 3D model of an object is automatically constructed offline from its multiple unordered range images (views). These views are converted into multidimensional table representations (which we refer to as tensors). Correspondences are automatically established between these views by simultaneously matching the tensors of a view with those of the remaining views using a hash table-based voting scheme. This results in a graph of relative transformations used to register the views before they are integrated into a seamless 3D model. These models and their tensor representations constitute the model library. During online recognition, a tensor from the scene is simultaneously matched with those in the library by casting votes. Similarity measures are calculated for the model tensors which receive the most votes. The model with the highest similarity is transformed to the scene and, if it aligns accurately with an object in the scene, that object is declared as recognized and is segmented. This process is repeated until the scene is completely segmented. Experiments were performed on real and synthetic data comprised of 55 models and 610 scenes and an overall recognition rate of 95 percent was achieved. Comparison with the spin images revealed that our algorithm is superior in terms of recognition rate and efficiency.
Separation of specular and diffuse components using tensor voting in color images.
Nguyen, Tam; Vo, Quang Nhat; Yang, Hyung-Jeong; Kim, Soo-Hyung; Lee, Guee-Sang
2014-11-20
Most methods for the detection and removal of specular reflections suffer from nonuniform highlight regions and/or nonconverged artifacts induced by discontinuities in the surface colors, especially when dealing with highly textured, multicolored images. In this paper, a novel noniterative and predefined constraint-free method based on tensor voting is proposed to detect and remove the highlight components of a single color image. The distribution of diffuse and specular pixels in the original image is determined using tensors' saliency analysis, instead of comparing color information among neighbor pixels. The achieved diffuse reflectance distribution is used to remove specularity components. The proposed method is evaluated quantitatively and qualitatively over a dataset of highly textured, multicolor images. The experimental results show that our result outperforms other state-of-the-art techniques.
Road detection in SAR images using a tensor voting algorithm
NASA Astrophysics Data System (ADS)
Shen, Dajiang; Hu, Chun; Yang, Bing; Tian, Jinwen; Liu, Jian
2007-11-01
In this paper, the problem of the detection of road networks in Synthetic Aperture Radar (SAR) images is addressed. Most of the previous methods extract the road by detecting lines and network reconstruction. Traditional algorithms such as MRFs, GA, Level Set, used in the progress of reconstruction are iterative. The tensor voting methodology we proposed is non-iterative, and non-sensitive to initialization. Furthermore, the only free parameter is the size of the neighborhood, related to the scale. The algorithm we present is verified to be effective when it's applied to the road extraction using the real Radarsat Image.
Detection of electrophysiology catheters in noisy fluoroscopy images.
Franken, Erik; Rongen, Peter; van Almsick, Markus; ter Haar Romeny, Bart
2006-01-01
Cardiac catheter ablation is a minimally invasive medical procedure to treat patients with heart rhythm disorders. It is useful to know the positions of the catheters and electrodes during the intervention, e.g. for the automatization of cardiac mapping. Our goal is therefore to develop a robust image analysis method that can detect the catheters in X-ray fluoroscopy images. Our method uses steerable tensor voting in combination with a catheter-specific multi-step extraction algorithm. The evaluation on clinical fluoroscopy images shows that especially the extraction of the catheter tip is successful and that the use of tensor voting accounts for a large increase in performance.
Simultaneous two-view epipolar geometry estimation and motion segmentation by 4D tensor voting.
Tong, Wai-Shun; Tang, Chi-Keung; Medioni, Gérard
2004-09-01
We address the problem of simultaneous two-view epipolar geometry estimation and motion segmentation from nonstatic scenes. Given a set of noisy image pairs containing matches of n objects, we propose an unconventional, efficient, and robust method, 4D tensor voting, for estimating the unknown n epipolar geometries, and segmenting the static and motion matching pairs into n independent motions. By considering the 4D isotropic and orthogonal joint image space, only two tensor voting passes are needed, and a very high noise to signal ratio (up to five) can be tolerated. Epipolar geometries corresponding to multiple, rigid motions are extracted in succession. Only two uncalibrated frames are needed, and no simplifying assumption (such as affine camera model or homographic model between images) other than the pin-hole camera model is made. Our novel approach consists of propagating a local geometric smoothness constraint in the 4D joint image space, followed by global consistency enforcement for extracting the fundamental matrices corresponding to independent motions. We have performed extensive experiments to compare our method with some representative algorithms to show that better performance on nonstatic scenes are achieved. Results on challenging data sets are presented.
A Variational Framework for Exemplar-Based Image Inpainting
2010-04-01
Physical Review 106(4), 620–30 (1957) 37. Jia, J., Tang, C.K.: Inference of segmented color and texture description by tensor voting . IEEE Trans. on PAMI 26...use of other patch error functions based on the comparison of structure tensors , which could provide a more robust estimation of the morpho- logical
Inference for Distributions over the Permutation Group
2008-05-01
world problems, such as voting , ranking, and data association. Representing uncertainty over permutations is challenging, since there are n...problems, such as voting , ranking, and data association. Representing uncertainty over permutations is challenging, since there are n! possibilities...the Krone ker (or Tensor ) Produ t Representation.In general, the Krone ker produ t representation is redu ible, and so it ande omposed into a dire t
Gap filling of 3-D microvascular networks by tensor voting.
Risser, L; Plouraboue, F; Descombes, X
2008-05-01
We present a new algorithm which merges discontinuities in 3-D images of tubular structures presenting undesirable gaps. The application of the proposed method is mainly associated to large 3-D images of microvascular networks. In order to recover the real network topology, we need to fill the gaps between the closest discontinuous vessels. The algorithm presented in this paper aims at achieving this goal. This algorithm is based on the skeletonization of the segmented network followed by a tensor voting method. It permits to merge the most common kinds of discontinuities found in microvascular networks. It is robust, easy to use, and relatively fast. The microvascular network images were obtained using synchrotron tomography imaging at the European Synchrotron Radiation Facility. These images exhibit samples of intracortical networks. Representative results are illustrated.
Joint Data Management for MOVINT Data-to-Decision Making
2011-07-01
flux tensor , aligned motion history images, and related approaches have been shown to be versatile approaches [12, 16, 17, 18]. Scaling these...methods include voting , neural networks, fuzzy logic, neuro-dynamic programming, support vector machines, Bayesian and Dempster-Shafer methods. One way...Information Fusion, 2010. [16] F. Bunyak, K. Palaniappan, S. K. Nath, G. Seetharaman, “Flux tensor constrained geodesic active contours with sensor fusion
Robust membrane detection based on tensor voting for electron tomography.
Martinez-Sanchez, Antonio; Garcia, Inmaculada; Asano, Shoh; Lucic, Vladan; Fernandez, Jose-Jesus
2014-04-01
Electron tomography enables three-dimensional (3D) visualization and analysis of the subcellular architecture at a resolution of a few nanometers. Segmentation of structural components present in 3D images (tomograms) is often necessary for their interpretation. However, it is severely hampered by a number of factors that are inherent to electron tomography (e.g. noise, low contrast, distortion). Thus, there is a need for new and improved computational methods to facilitate this challenging task. In this work, we present a new method for membrane segmentation that is based on anisotropic propagation of the local structural information using the tensor voting algorithm. The local structure at each voxel is then refined according to the information received from other voxels. Because voxels belonging to the same membrane have coherent structural information, the underlying global structure is strengthened. In this way, local information is easily integrated at a global scale to yield segmented structures. This method performs well under low signal-to-noise ratio typically found in tomograms of vitrified samples under cryo-tomography conditions and can bridge gaps present on membranes. The performance of the method is demonstrated by applications to tomograms of different biological samples and by quantitative comparison with standard template matching procedure. Copyright © 2014 Elsevier Inc. All rights reserved.
Open-Universe Theory for Bayesian Inference, Decision, and Sensing (OUTBIDS)
2014-01-01
using a novel dynamic programming algorithm [6]. The second allows for tensor data, in which observations at a given time step exhibit...unlimited. 5 We developed a dynamical tensor model that gives far better estimation and system- identification results than the standard vectorization...inference. Third, unlike prior work that learns different pieces of the model independently, use matching between 3D models and 2D views and/or voting
Depth inpainting by tensor voting.
Kulkarni, Mandar; Rajagopalan, Ambasamudram N
2013-06-01
Depth maps captured by range scanning devices or by using optical cameras often suffer from missing regions due to occlusions, reflectivity, limited scanning area, sensor imperfections, etc. In this paper, we propose a fast and reliable algorithm for depth map inpainting using the tensor voting (TV) framework. For less complex missing regions, local edge and depth information is utilized for synthesizing missing values. The depth variations are modeled by local planes using 3D TV, and missing values are estimated using plane equations. For large and complex missing regions, we collect and evaluate depth estimates from self-similar (training) datasets. We align the depth maps of the training set with the target (defective) depth map and evaluate the goodness of depth estimates among candidate values using 3D TV. We demonstrate the effectiveness of the proposed approaches on real as well as synthetic data.
Proof-of-Concept Studies in Novel Guided Wave Methods for Metallic Structural Condition
2009-03-01
stiffness tensor which is general can be complex (viscoelastic behavior). More details on the compatibility operator can be found in (Gopalakrishnan...structure was in when these AR coefficients were recorded is scored as the " vote " for the unknown condition using that particular input signal. This...signals that are imparted to the structure in its unknown state. The votes for each condition are then summed and the condition with the plurality of
Graph-based geometric-iconic guide-wire tracking.
Honnorat, Nicolas; Vaillant, Régis; Paragios, Nikos
2011-01-01
In this paper we introduce a novel hybrid graph-based approach for Guide-wire tracking. The image support is captured by steerable filters and improved through tensor voting. Then, a graphical model is considered that represents guide-wire extraction/tracking through a B-spline control-point model. Points with strong geometric interest (landmarks) are automatically determined and anchored to such a representation. Tracking is then performed through discrete MRFs that optimize the spatio-temporal positions of the control points while establishing landmark temporal correspondences. Promising results demonstrate the potentials of our method.
Provable Security of Communication for Protecting Information Flow in Distributed Systems
2015-06-01
tensorization of extremal mutual information quantities, which have been of recent...Control, and Computing, Oct. 2012. 25) T. Wang, J. Sturm, P. Cuff, S. Kulkarni, “Condorcet Voting ...Methods Avoid the Paradoxes of Voting Theory,” Proc. of the Allerton Conference on Communication,
Types for Correct Concurrent API Usage
2010-12-01
unique, full Here g is the state guarantee and A is the current abstract state of the object referenced by r. The ⊗ symbol is called the “ tensor ...to discover resources on a heterogeneous network. Votebox is an open-source implementation of software for voting machines. The Blocking queuemethod
2014-12-01
independently has a 10% chance of being flipped. Then the decoder should use the majority vote rule: if y is (0, 0, 0), (0, 0, 1), (0, 1, 0), or (1, 0, 0... tensor power, and BN is a square matrix called the bit-reversal operator. Therefore G−1N = (F ⊗n) −1 B−1N . Section VII.B of [1] shows that B −1 N...BN . 18 Also we see by direct computation that FF = I2. Using the tensor product identity (AC) ⊗ (BD) = (A⊗B)(C⊗D), we get that (F ⊗F )(F ⊗F ) = I2
Image Based Synthesis for Airborne Minefield Data
2005-12-01
Jia, and C-K. Tang, "Image repairing: robust image synthesis by adaptive ND tensor voting ", Proceedings of the IEEE, Computer Society Conference on...utility is capable to synthesize a single frame data as well as list of frames along a flight path. The application is developed in MATLAB -6.5 using the
Delineation and geometric modeling of road networks
NASA Astrophysics Data System (ADS)
Poullis, Charalambos; You, Suya
In this work we present a novel vision-based system for automatic detection and extraction of complex road networks from various sensor resources such as aerial photographs, satellite images, and LiDAR. Uniquely, the proposed system is an integrated solution that merges the power of perceptual grouping theory (Gabor filtering, tensor voting) and optimized segmentation techniques (global optimization using graph-cuts) into a unified framework to address the challenging problems of geospatial feature detection and classification. Firstly, the local precision of the Gabor filters is combined with the global context of the tensor voting to produce accurate classification of the geospatial features. In addition, the tensorial representation used for the encoding of the data eliminates the need for any thresholds, therefore removing any data dependencies. Secondly, a novel orientation-based segmentation is presented which incorporates the classification of the perceptual grouping, and results in segmentations with better defined boundaries and continuous linear segments. Finally, a set of gaussian-based filters are applied to automatically extract centerline information (magnitude, width and orientation). This information is then used for creating road segments and transforming them to their polygonal representations.
Persistent Target Tracking Using Likelihood Fusion in Wide-Area and Full Motion Video Sequences
2012-07-01
624–637, 2010. [33] R. Pelapur, K. Palaniappan, F. Bunyak, and G. Seetharaman, “Vehicle orientation estimation using radon transform-based voting in...pp. 873–880. [37] F. Bunyak, K. Palaniappan, S. K. Nath, and G. Seetharaman, “Flux tensor constrained geodesic active contours with sensor fusion for
An Agile Framework for Real-Time Visual Tracking in Videos
2012-09-05
multiplied by the structure tensor , for which there are two eigenvalues λ1 and λ2; if either or both is large and positive, an edge or corner is found...cannot learn to an accuracy better than 1/2. This holds even if the boosting algorithm stops early or the voting weights are bounded. Consider two sets
Method of center localization for objects containing concentric arcs
NASA Astrophysics Data System (ADS)
Kuznetsova, Elena G.; Shvets, Evgeny A.; Nikolaev, Dmitry P.
2015-02-01
This paper proposes a method for automatic center location of objects containing concentric arcs. The method utilizes structure tensor analysis and voting scheme optimized with Fast Hough Transform. Two applications of the proposed method are considered: (i) wheel tracking in video-based system for automatic vehicle classification and (ii) tree growth rings analysis on a tree cross cut image.
Inferring segmented dense motion layers using 5D tensor voting.
Min, Changki; Medioni, Gérard
2008-09-01
We present a novel local spatiotemporal approach to produce motion segmentation and dense temporal trajectories from an image sequence. A common representation of image sequences is a 3D spatiotemporal volume, (x,y,t), and its corresponding mathematical formalism is the fiber bundle. However, directly enforcing the spatiotemporal smoothness constraint is difficult in the fiber bundle representation. Thus, we convert the representation into a new 5D space (x,y,t,vx,vy) with an additional velocity domain, where each moving object produces a separate 3D smooth layer. The smoothness constraint is now enforced by extracting 3D layers using the tensor voting framework in a single step that solves both correspondence and segmentation simultaneously. Motion segmentation is achieved by identifying those layers, and the dense temporal trajectories are obtained by converting the layers back into the fiber bundle representation. We proceed to address three applications (tracking, mosaic, and 3D reconstruction) that are hard to solve from the video stream directly because of the segmentation and dense matching steps, but become straightforward with our framework. The approach does not make restrictive assumptions about the observed scene or camera motion and is therefore generally applicable. We present results on a number of data sets.
Ensemble Clustering using Semidefinite Programming with Applications
Singh, Vikas; Mukherjee, Lopamudra; Peng, Jiming; Xu, Jinhui
2011-01-01
In this paper, we study the ensemble clustering problem, where the input is in the form of multiple clustering solutions. The goal of ensemble clustering algorithms is to aggregate the solutions into one solution that maximizes the agreement in the input ensemble. We obtain several new results for this problem. Specifically, we show that the notion of agreement under such circumstances can be better captured using a 2D string encoding rather than a voting strategy, which is common among existing approaches. Our optimization proceeds by first constructing a non-linear objective function which is then transformed into a 0–1 Semidefinite program (SDP) using novel convexification techniques. This model can be subsequently relaxed to a polynomial time solvable SDP. In addition to the theoretical contributions, our experimental results on standard machine learning and synthetic datasets show that this approach leads to improvements not only in terms of the proposed agreement measure but also the existing agreement measures based on voting strategies. In addition, we identify several new application scenarios for this problem. These include combining multiple image segmentations and generating tissue maps from multiple-channel Diffusion Tensor brain images to identify the underlying structure of the brain. PMID:21927539
Ensemble Clustering using Semidefinite Programming with Applications.
Singh, Vikas; Mukherjee, Lopamudra; Peng, Jiming; Xu, Jinhui
2010-05-01
In this paper, we study the ensemble clustering problem, where the input is in the form of multiple clustering solutions. The goal of ensemble clustering algorithms is to aggregate the solutions into one solution that maximizes the agreement in the input ensemble. We obtain several new results for this problem. Specifically, we show that the notion of agreement under such circumstances can be better captured using a 2D string encoding rather than a voting strategy, which is common among existing approaches. Our optimization proceeds by first constructing a non-linear objective function which is then transformed into a 0-1 Semidefinite program (SDP) using novel convexification techniques. This model can be subsequently relaxed to a polynomial time solvable SDP. In addition to the theoretical contributions, our experimental results on standard machine learning and synthetic datasets show that this approach leads to improvements not only in terms of the proposed agreement measure but also the existing agreement measures based on voting strategies. In addition, we identify several new application scenarios for this problem. These include combining multiple image segmentations and generating tissue maps from multiple-channel Diffusion Tensor brain images to identify the underlying structure of the brain.
Advective Mixing in a Nondivergent Barotropic Hurricane Model
2010-01-20
voted to the mixing of fluid from different regions of a hurri- cane, which is considered as a fundamental mechanism that is intimately related to...range is governed by the Cauchy-Riemann deformation tensor , 1(x0,t0)= ( dx0φ t0+T t0 (x0) )∗( dx0φ t0+T t0 (x0) ) , and becomes maximal when ξ0 is
A novel underwater dam crack detection and classification approach based on sonar images
Shi, Pengfei; Fan, Xinnan; Ni, Jianjun; Khan, Zubair; Li, Min
2017-01-01
Underwater dam crack detection and classification based on sonar images is a challenging task because underwater environments are complex and because cracks are quite random and diverse in nature. Furthermore, obtainable sonar images are of low resolution. To address these problems, a novel underwater dam crack detection and classification approach based on sonar imagery is proposed. First, the sonar images are divided into image blocks. Second, a clustering analysis of a 3-D feature space is used to obtain the crack fragments. Third, the crack fragments are connected using an improved tensor voting method. Fourth, a minimum spanning tree is used to obtain the crack curve. Finally, an improved evidence theory combined with fuzzy rule reasoning is proposed to classify the cracks. Experimental results show that the proposed approach is able to detect underwater dam cracks and classify them accurately and effectively under complex underwater environments. PMID:28640925
A novel underwater dam crack detection and classification approach based on sonar images.
Shi, Pengfei; Fan, Xinnan; Ni, Jianjun; Khan, Zubair; Li, Min
2017-01-01
Underwater dam crack detection and classification based on sonar images is a challenging task because underwater environments are complex and because cracks are quite random and diverse in nature. Furthermore, obtainable sonar images are of low resolution. To address these problems, a novel underwater dam crack detection and classification approach based on sonar imagery is proposed. First, the sonar images are divided into image blocks. Second, a clustering analysis of a 3-D feature space is used to obtain the crack fragments. Third, the crack fragments are connected using an improved tensor voting method. Fourth, a minimum spanning tree is used to obtain the crack curve. Finally, an improved evidence theory combined with fuzzy rule reasoning is proposed to classify the cracks. Experimental results show that the proposed approach is able to detect underwater dam cracks and classify them accurately and effectively under complex underwater environments.
Stereo using monocular cues within the tensor voting framework.
Mordohai, Philippos; Medioni, Gérard
2006-06-01
We address the fundamental problem of matching in two static images. The remaining challenges are related to occlusion and lack of texture. Our approach addresses these difficulties within a perceptual organization framework, considering both binocular and monocular cues. Initially, matching candidates for all pixels are generated by a combination of matching techniques. The matching candidates are then embedded in disparity space, where perceptual organization takes place in 3D neighborhoods and, thus, does not suffer from problems associated with scanline or image neighborhoods. The assumption is that correct matches produce salient, coherent surfaces, while wrong ones do not. Matching candidates that are consistent with the surfaces are kept and grouped into smooth layers. Thus, we achieve surface segmentation based on geometric and not photometric properties. Surface overextensions, which are due to occlusion, can be corrected by removing matches whose projections are not consistent in color with their neighbors of the same surface in both images. Finally, the projections of the refined surfaces on both images are used to obtain disparity hypotheses for unmatched pixels. The final disparities are selected after a second tensor voting stage, during which information is propagated from more reliable pixels to less reliable ones. We present results on widely used benchmark stereo pairs.
1996-09-01
Generalized Likelihood Ratio (GLR) and voting techniques. The third class consisted of multiple hypothesis filter detectors, specifically the MMAE. The...vector version, versus a tensor if we use the matrix version of the power spectral density estimate. Using this notation, we will derive an...as MATLAB , have an intrinsic sample covariance computation available, which makes this method quite easy to implement. In practice, the mean for the
United States Air Force Summer Faculty Research Program. Management Report. Volume 3
1988-12-01
xyz values are basically correct, we plotted the perspective view of a target using the xyz values with MATLAB (a matrix-based mathematics softwaie...initially included all the pixels of the image in calculating votes for each accumulator. Two target types, the M-60 tank and the fuel truck, were used...J.F., Gouin, H. and Gaviglio, J., "Evolution of the Reynolds Stress Tensor in a Shock Wave-Turbulence Interaction," Indian Journal of Technology, Vol
Adaptive local thresholding for robust nucleus segmentation utilizing shape priors
NASA Astrophysics Data System (ADS)
Wang, Xiuzhong; Srinivas, Chukka
2016-03-01
This paper describes a novel local thresholding method for foreground detection. First, a Canny edge detection method is used for initial edge detection. Then, tensor voting is applied on the initial edge pixels, using a nonsymmetric tensor field tailored to encode prior information about nucleus size, shape, and intensity spatial distribution. Tensor analysis is then performed to generate the saliency image and, based on that, the refined edge. Next, the image domain is divided into blocks. In each block, at least one foreground and one background pixel are sampled for each refined edge pixel. The saliency weighted foreground histogram and background histogram are then created. These two histograms are used to calculate a threshold by minimizing the background and foreground pixel classification error. The block-wise thresholds are then used to generate the threshold for each pixel via interpolation. Finally, the foreground is obtained by comparing the original image with the threshold image. The effective use of prior information, combined with robust techniques, results in far more reliable foreground detection, which leads to robust nucleus segmentation.
The Uniformed and Overseas Citizens Absentee Voting Act: Background and Issues
2007-03-08
Order Code RS20764 Updated March 8, 2007 The Uniformed and Overseas Citizens Absentee Voting Act: Background and Issues Kevin J. Coleman Analyst in...register and vote absentee in federal elections under the provisions of the Uniformed and Overseas Citizens Absentee Voting Act (UOCAVA) of 1986. The law was...enacted to improve absentee registration and voting for this group of voters and to consolidate existing laws. Since 1942, several federal laws have
75 FR 32920 - Publication of State Plan Pursuant to the Help America Vote Act
Federal Register 2010, 2011, 2012, 2013, 2014
2010-06-10
...)(11)(A) and 255(b) of the Help America Vote Act (HAVA), Public Law 107-252, the U.S. Election... improving the voting process in America. Dated: May 26, 2010. Thomas R. Wilkey, Executive Director, U.S... ELECTION ASSISTANCE COMMISSION Publication of State Plan Pursuant to the Help America Vote Act...
[An Improved Spectral Quaternion Interpolation Method of Diffusion Tensor Imaging].
Xu, Yonghong; Gao, Shangce; Hao, Xiaofei
2016-04-01
Diffusion tensor imaging(DTI)is a rapid development technology in recent years of magnetic resonance imaging.The diffusion tensor interpolation is a very important procedure in DTI image processing.The traditional spectral quaternion interpolation method revises the direction of the interpolation tensor and can preserve tensors anisotropy,but the method does not revise the size of tensors.The present study puts forward an improved spectral quaternion interpolation method on the basis of traditional spectral quaternion interpolation.Firstly,we decomposed diffusion tensors with the direction of tensors being represented by quaternion.Then we revised the size and direction of the tensor respectively according to different situations.Finally,we acquired the tensor of interpolation point by calculating the weighted average.We compared the improved method with the spectral quaternion method and the Log-Euclidean method by the simulation data and the real data.The results showed that the improved method could not only keep the monotonicity of the fractional anisotropy(FA)and the determinant of tensors,but also preserve the tensor anisotropy at the same time.In conclusion,the improved method provides a kind of important interpolation method for diffusion tensor image processing.
Improving Remote Voting Security with CodeVoting
NASA Astrophysics Data System (ADS)
Joaquim, Rui; Ribeiro, Carlos; Ferreira, Paulo
One of the major problems that prevents the spread of elections with the possibility of remote voting over electronic networks, also called Internet Voting, is the use of unreliable client platforms, such as the voter's computer and the Internet infrastructure connecting it to the election server. A computer connected to the Internet is exposed to viruses, worms, Trojans, spyware, malware and other threats that can compromise the election's integrity. For instance, it is possible to write a virus that changes the voter's vote to a predetermined vote on election's day. Another possible attack is the creation of a fake election web site where the voter uses a malicious vote program on the web site that manipulates the voter's vote (phishing/pharming attack). Such attacks may not disturb the election protocol, therefore can remain undetected in the eyes of the election auditors.
The Uniformed and Overseas Citizens Absentee Voting Act: Background and Issues
2006-05-12
The Uniformed and Overseas Citizens Absentee Voting Act: Background and Issues Kevin J. Coleman Analyst in American National Government Government...and Finance Division Summary Members of the military and U.S. citizens who live abroad are eligible to register and vote absentee in federal elections...under the provisions of the Uniformed and Overseas Citizens Absentee Voting Act (UOCAVA) of 1986. The law was enacted to improve absentee registration
Architecture of COOPTO Remote Voting Solution
NASA Astrophysics Data System (ADS)
Silhavy, Radek; Silhavy, Petr; Prokopova, Zdenka
This contribution focuses on investigation of remote electronic voting system, named COOPTO. Researching of suitability of electronic voting solution is forced by necessity of the improvement election process. The COOPTO is based on topical investigation of voting process and their implementation of using modern information and communication technology. The COOPTO allows voters, who are not in their election district, to participate in the democracy process. The aim of this contribution is to describe results of the development of the COOPTO solutions.
Perceived health from biological motion predicts voting behaviour.
Kramer, Robin S S; Arend, Isabel; Ward, Robert
2010-04-01
Body motion signals socially relevant traits like the sex, age, and even the genetic quality of actors and may therefore facilitate various social judgements. By examining ratings and voting decisions based solely on body motion of political candidates, we considered how the candidates' motion affected people's judgements and voting behaviour. In two experiments, participants viewed stick figure motion displays made from videos of politicians in public debate. Participants rated the motion displays for a variety of social traits and then indicated their vote preference. In both experiments, perceived physical health was the single best predictor of vote choice, and no two-factor model produced significant improvement. Notably, although attractiveness and leadership correlated with voting behaviour, neither provided additional explanatory power to a single-factor model of health alone. Our results demonstrate for the first time that motion can produce systematic vote preferences.
2002-04-02
2002 The Uniformed and Overseas Citizens Absentee Voting Act: Background and Issues for the 107th Congress Kevin J. Coleman Analyst in American National... absentee in federal elections under the provisions of the Uniformed and Overseas Citizens Absentee Voting Act (UOCAVA) of 1986. The law was enacted to...improve absentee registration and voting for this group of voters and to consolidate existing laws. Since 1942, several federal laws have been enacted to
NASA Astrophysics Data System (ADS)
Gerck, Ed
We present a new, comprehensive framework to qualitatively improve election outcome trustworthiness, where voting is modeled as an information transfer process. Although voting is deterministic (all ballots are counted), information is treated stochastically using Information Theory. Error considerations, including faults, attacks, and threats by adversaries, are explicitly included. The influence of errors may be corrected to achieve an election outcome error as close to zero as desired (error-free), with a provably optimal design that is applicable to any type of voting, with or without ballots. Sixteen voting system requirements, including functional, performance, environmental and non-functional considerations, are derived and rated, meeting or exceeding current public-election requirements. The voter and the vote are unlinkable (secret ballot) although each is identifiable. The Witness-Voting System (Gerck, 2001) is extended as a conforming implementation of the provably optimal design that is error-free, transparent, simple, scalable, robust, receipt-free, universally-verifiable, 100% voter-verified, and end-to-end audited.
Sen. Reid, Harry [D-NV
2013-01-24
Senate - 01/24/2013 Resolution agreed to in Senate, under the order of 1/24/2012, having achieved 60 votes in the affirmative, without amendment by Yea-Nay Vote. 78 - 16. Record Vote Number: 1. (All Actions) Tracker: This bill has the status Agreed to in SenateHere are the steps for Status of Legislation:
Recognition of medication information from discharge summaries using ensembles of classifiers.
Doan, Son; Collier, Nigel; Xu, Hua; Pham, Hoang Duy; Tu, Minh Phuong
2012-05-07
Extraction of clinical information such as medications or problems from clinical text is an important task of clinical natural language processing (NLP). Rule-based methods are often used in clinical NLP systems because they are easy to adapt and customize. Recently, supervised machine learning methods have proven to be effective in clinical NLP as well. However, combining different classifiers to further improve the performance of clinical entity recognition systems has not been investigated extensively. Combining classifiers into an ensemble classifier presents both challenges and opportunities to improve performance in such NLP tasks. We investigated ensemble classifiers that used different voting strategies to combine outputs from three individual classifiers: a rule-based system, a support vector machine (SVM) based system, and a conditional random field (CRF) based system. Three voting methods were proposed and evaluated using the annotated data sets from the 2009 i2b2 NLP challenge: simple majority, local SVM-based voting, and local CRF-based voting. Evaluation on 268 manually annotated discharge summaries from the i2b2 challenge showed that the local CRF-based voting method achieved the best F-score of 90.84% (94.11% Precision, 87.81% Recall) for 10-fold cross-validation. We then compared our systems with the first-ranked system in the challenge by using the same training and test sets. Our system based on majority voting achieved a better F-score of 89.65% (93.91% Precision, 85.76% Recall) than the previously reported F-score of 89.19% (93.78% Precision, 85.03% Recall) by the first-ranked system in the challenge. Our experimental results using the 2009 i2b2 challenge datasets showed that ensemble classifiers that combine individual classifiers into a voting system could achieve better performance than a single classifier in recognizing medication information from clinical text. It suggests that simple strategies that can be easily implemented such as majority voting could have the potential to significantly improve clinical entity recognition.
Justice Can Further Improve Its Monitoring of Changes in State/Local Voting Laws.
1983-12-19
voter quali- fications and eligibility; registration, bal- loting and vote counting procedures; and the eligibility or method of selecting candidates...voter qualifications and eligibility; registration, balloting, and vote counting procedures; and the eligibility or method of *$ selecting candidates...reapportionments, -* annexations, method -of-election, and bilingual assistance to mi- nority language groups. Forty-nine of the withdrawals occurred after the
A triangle voting algorithm based on double feature constraints for star sensors
NASA Astrophysics Data System (ADS)
Fan, Qiaoyun; Zhong, Xuyang
2018-02-01
A novel autonomous star identification algorithm is presented in this study. In the proposed algorithm, each sensor star constructs multi-triangle with its bright neighbor stars and obtains its candidates by triangle voting process, in which the triangle is considered as the basic voting element. In order to accelerate the speed of this algorithm and reduce the required memory for star database, feature extraction is carried out to reduce the dimension of triangles and each triangle is described by its base and height. During the identification period, the voting scheme based on double feature constraints is proposed to implement triangle voting. This scheme guarantees that only the catalog star satisfying two features can vote for the sensor star, which improves the robustness towards false stars. The simulation and real star image test demonstrate that compared with the other two algorithms, the proposed algorithm is more robust towards position noise, magnitude noise and false stars.
Anonymous voting for multi-dimensional CV quantum system
NASA Astrophysics Data System (ADS)
Rong-Hua, Shi; Yi, Xiao; Jin-Jing, Shi; Ying, Guo; Moon-Ho, Lee
2016-06-01
We investigate the design of anonymous voting protocols, CV-based binary-valued ballot and CV-based multi-valued ballot with continuous variables (CV) in a multi-dimensional quantum cryptosystem to ensure the security of voting procedure and data privacy. The quantum entangled states are employed in the continuous variable quantum system to carry the voting information and assist information transmission, which takes the advantage of the GHZ-like states in terms of improving the utilization of quantum states by decreasing the number of required quantum states. It provides a potential approach to achieve the efficient quantum anonymous voting with high transmission security, especially in large-scale votes. Project supported by the National Natural Science Foundation of China (Grant Nos. 61272495, 61379153, and 61401519), the Research Fund for the Doctoral Program of Higher Education of China (Grant No. 20130162110012), and the MEST-NRF of Korea (Grant No. 2012-002521).
Forest Roadidentification and Extractionof Through Advanced Log Matching Techniques
NASA Astrophysics Data System (ADS)
Zhang, W.; Hu, B.; Quist, L.
2017-10-01
A novel algorithm for forest road identification and extraction was developed. The algorithm utilized Laplacian of Gaussian (LoG) filter and slope calculation on high resolution multispectral imagery and LiDAR data respectively to extract both primary road and secondary road segments in the forest area. The proposed method used road shape feature to extract the road segments, which have been further processed as objects with orientation preserved. The road network was generated after post processing with tensor voting. The proposed method was tested on Hearst forest, located in central Ontario, Canada. Based on visual examination against manually digitized roads, the majority of roads from the test area have been identified and extracted from the process.
Application of majority voting and consensus voting algorithms in N-version software
NASA Astrophysics Data System (ADS)
Tsarev, R. Yu; Durmuş, M. S.; Üstoglu, I.; Morozov, V. A.
2018-05-01
N-version programming is one of the most common techniques which is used to improve the reliability of software by building in fault tolerance, redundancy and decreasing common cause failures. N different equivalent software versions are developed by N different and isolated workgroups by considering the same software specifications. The versions solve the same task and return results that have to be compared to determine the correct result. Decisions of N different versions are evaluated by a voting algorithm or the so-called voter. In this paper, two of the most commonly used software voting algorithms such as the majority voting algorithm and the consensus voting algorithm are studied. The distinctive features of Nversion programming with majority voting and N-version programming with consensus voting are described. These two algorithms make a decision about the correct result on the base of the agreement matrix. However, if the equivalence relation on the agreement matrix is not satisfied it is impossible to make a decision. It is shown that the agreement matrix can be transformed into an appropriate form by using the Boolean compositions when the equivalence relation is satisfied.
Monitoring the refinement of crystal structures with {sup 15}N solid-state NMR shift tensor data
DOE Office of Scientific and Technical Information (OSTI.GOV)
Kalakewich, Keyton; Eloranta, Harriet; Harper, James K.
The {sup 15}N chemical shift tensor is shown to be extremely sensitive to lattice structure and a powerful metric for monitoring density functional theory refinements of crystal structures. These refinements include lattice effects and are applied here to five crystal structures. All structures improve based on a better agreement between experimental and calculated {sup 15}N tensors, with an average improvement of 47.0 ppm. Structural improvement is further indicated by a decrease in forces on the atoms by 2–3 orders of magnitude and a greater similarity in atom positions to neutron diffraction structures. These refinements change bond lengths by more thanmore » the diffraction errors including adjustments to X–Y and X–H bonds (X, Y = C, N, and O) of 0.028 ± 0.002 Å and 0.144 ± 0.036 Å, respectively. The acquisition of {sup 15}N tensors at natural abundance is challenging and this limitation is overcome by improved {sup 1}H decoupling in the FIREMAT method. This decoupling dramatically narrows linewidths, improves signal-to-noise by up to 317%, and significantly improves the accuracy of measured tensors. A total of 39 tensors are measured with shifts distributed over a range of more than 400 ppm. Overall, experimental {sup 15}N tensors are at least 5 times more sensitive to crystal structure than {sup 13}C tensors due to nitrogen’s greater polarizability and larger range of chemical shifts.« less
Probabilistic Polling And Voting In The 2008 Presidential Election
Delavande, Adeline; Manski, Charles F.
2010-01-01
This article reports new empirical evidence on probabilistic polling, which asks persons to state in percent-chance terms the likelihood that they will vote and for whom. Before the 2008 presidential election, seven waves of probabilistic questions were administered biweekly to participants in the American Life Panel (ALP). Actual voting behavior was reported after the election. We find that responses to the verbal and probabilistic questions are well-aligned ordinally. Moreover, the probabilistic responses predict voting behavior beyond what is possible using verbal responses alone. The probabilistic responses have more predictive power in early August, and the verbal responses have more power in late October. However, throughout the sample period, one can predict voting behavior better using both types of responses than either one alone. Studying the longitudinal pattern of responses, we segment respondents into those who are consistently pro-Obama, consistently anti-Obama, and undecided/vacillators. Membership in the consistently pro- or anti-Obama group is an almost perfect predictor of actual voting behavior, while the undecided/vacillators group has more nuanced voting behavior. We find that treating the ALP as a panel improves predictive power: current and previous polling responses together provide more predictive power than do current responses alone. PMID:24683275
Empirical study on voting power in participatory forest planning.
Vainikainen, N; Kangas, A; Kangas, J
2008-07-01
Multicriteria decision support systems are applied in natural resource management in order to clarify the planning process for the stakeholders, to make all available information usable and all objectives manageable. Especially when the public is involved in planning, the decision support system should be easy to comprehend, transparent and fair. Social choice theory has recently been applied to group decision-making in natural resources management to accomplish these objectives. Although voting forms the basis of democracy, and is usually taken as a fair method, the influence of voters over the outcome may vary. It is also possible to vote strategically to improve the results from each stakeholder's point of view. This study examines the use of social choice theory in revealing stakeholders' preferences in participatory forest planning, and the influence of different voters on the outcome. The positional voting rules examined were approval voting and Borda count, but both rules were slightly modified for the purposes of this study. The third rule examined, cumulative rule, resembles utilitarian voting rules. The voting rules were tested in a real participatory forest planning situation in eastern Lapland, Finland. All voting rules resulted in a different joint order of importance of the criteria. Yet, the preference orders produced had also a lot in common and the criteria could be divided into three quite distinct groups according to their importance. The influence of individual voters varied between the voting rules, and in each case different voter was the most influential.
Scan statistics with local vote for target detection in distributed system
NASA Astrophysics Data System (ADS)
Luo, Junhai; Wu, Qi
2017-12-01
Target detection has occupied a pivotal position in distributed system. Scan statistics, as one of the most efficient detection methods, has been applied to a variety of anomaly detection problems and significantly improves the probability of detection. However, scan statistics cannot achieve the expected performance when the noise intensity is strong, or the signal emitted by the target is weak. The local vote algorithm can also achieve higher target detection rate. After the local vote, the counting rule is always adopted for decision fusion. The counting rule does not use the information about the contiguity of sensors but takes all sensors' data into consideration, which makes the result undesirable. In this paper, we propose a scan statistics with local vote (SSLV) method. This method combines scan statistics with local vote decision. Before scan statistics, each sensor executes local vote decision according to the data of its neighbors and its own. By combining the advantages of both, our method can obtain higher detection rate in low signal-to-noise ratio environment than the scan statistics. After the local vote decision, the distribution of sensors which have detected the target becomes more intensive. To make full use of local vote decision, we introduce a variable-step-parameter for the SSLV. It significantly shortens the scan period especially when the target is absent. Analysis and simulations are presented to demonstrate the performance of our method.
Vision-based posture recognition using an ensemble classifier and a vote filter
NASA Astrophysics Data System (ADS)
Ji, Peng; Wu, Changcheng; Xu, Xiaonong; Song, Aiguo; Li, Huijun
2016-10-01
Posture recognition is a very important Human-Robot Interaction (HRI) way. To segment effective posture from an image, we propose an improved region grow algorithm which combining with the Single Gauss Color Model. The experiment shows that the improved region grow algorithm can get the complete and accurate posture than traditional Single Gauss Model and region grow algorithm, and it can eliminate the similar region from the background at the same time. In the posture recognition part, and in order to improve the recognition rate, we propose a CNN ensemble classifier, and in order to reduce the misjudgments during a continuous gesture control, a vote filter is proposed and applied to the sequence of recognition results. Comparing with CNN classifier, the CNN ensemble classifier we proposed can yield a 96.27% recognition rate, which is better than that of CNN classifier, and the proposed vote filter can improve the recognition result and reduce the misjudgments during the consecutive gesture switch.
Delavande, Adeline; Manski, Charles F
2010-01-01
This article reports new empirical evidence on probabilistic polling , which asks persons to state in percent-chance terms the likelihood that they will vote and for whom. Before the 2008 presidential election, seven waves of probabilistic questions were administered biweekly to participants in the American Life Panel (ALP). Actual voting behavior was reported after the election. We find that responses to the verbal and probabilistic questions are well-aligned ordinally. Moreover, the probabilistic responses predict voting behavior beyond what is possible using verbal responses alone. The probabilistic responses have more predictive power in early August, and the verbal responses have more power in late October. However, throughout the sample period, one can predict voting behavior better using both types of responses than either one alone. Studying the longitudinal pattern of responses, we segment respondents into those who are consistently pro-Obama , consistently anti-Obama , and undecided/vacillators . Membership in the consistently pro- or anti-Obama group is an almost perfect predictor of actual voting behavior, while the undecided/vacillators group has more nuanced voting behavior. We find that treating the ALP as a panel improves predictive power: current and previous polling responses together provide more predictive power than do current responses alone.
Christodoulidis, Argyrios; Hurtut, Thomas; Tahar, Houssem Ben; Cheriet, Farida
2016-09-01
Segmenting the retinal vessels from fundus images is a prerequisite for many CAD systems for the automatic detection of diabetic retinopathy lesions. So far, research efforts have concentrated mainly on the accurate localization of the large to medium diameter vessels. However, failure to detect the smallest vessels at the segmentation step can lead to false positive lesion detection counts in a subsequent lesion analysis stage. In this study, a new hybrid method for the segmentation of the smallest vessels is proposed. Line detection and perceptual organization techniques are combined in a multi-scale scheme. Small vessels are reconstructed from the perceptual-based approach via tracking and pixel painting. The segmentation was validated in a high resolution fundus image database including healthy and diabetic subjects using pixel-based as well as perceptual-based measures. The proposed method achieves 85.06% sensitivity rate, while the original multi-scale line detection method achieves 81.06% sensitivity rate for the corresponding images (p<0.05). The improvement in the sensitivity rate for the database is 6.47% when only the smallest vessels are considered (p<0.05). For the perceptual-based measure, the proposed method improves the detection of the vasculature by 7.8% against the original multi-scale line detection method (p<0.05). Copyright © 2016 Elsevier Ltd. All rights reserved.
Code of Federal Regulations, 2013 CFR
2013-01-01
... 16 Commercial Practices 1 2013-01-01 2013-01-01 false Acquisitions of voting securities not meeting or exceeding greater notification threshold (as adjusted). 802.21 Section 802.21 Commercial Practices FEDERAL TRADE COMMISSION RULES, REGULATIONS, STATEMENTS AND INTERPRETATIONS UNDER THE HART-SCOTT-RODINO ANTITRUST IMPROVEMENTS ACT OF 1976...
Code of Federal Regulations, 2014 CFR
2014-01-01
... 16 Commercial Practices 1 2014-01-01 2014-01-01 false Acquisitions of voting securities not meeting or exceeding greater notification threshold (as adjusted). 802.21 Section 802.21 Commercial Practices FEDERAL TRADE COMMISSION RULES, REGULATIONS, STATEMENTS AND INTERPRETATIONS UNDER THE HART-SCOTT-RODINO ANTITRUST IMPROVEMENTS ACT OF 1976...
Dibb, Russell; Liu, Chunlei
2017-06-01
To develop a susceptibility-based MRI technique for probing microstructure and fiber architecture of magnetically anisotropic tissues-such as central nervous system white matter, renal tubules, and myocardial fibers-in three dimensions using susceptibility tensor imaging (STI) tools. STI can probe tissue microstructure, but is limited by reconstruction artifacts because of absent phase information outside the tissue and noise. STI accuracy may be improved by estimating a joint eigenvector from mutually anisotropic susceptibility and relaxation tensors. Gradient-recalled echo image data were simulated using a numerical phantom and acquired from the ex vivo mouse brain, kidney, and heart. Susceptibility tensor data were reconstructed using STI, regularized STI, and the proposed algorithm of mutually anisotropic and joint eigenvector STI (MAJESTI). Fiber map and tractography results from each technique were compared with diffusion tensor data. MAJESTI reduced the estimated susceptibility tensor orientation error by 30% in the phantom, 36% in brain white matter, 40% in the inner medulla of the kidney, and 45% in myocardium. This improved the continuity and consistency of susceptibility-based fiber tractography in each tissue. MAJESTI estimation of the susceptibility tensors yields lower orientation errors for susceptibility-based fiber mapping and tractography in the intact brain, kidney, and heart. Magn Reson Med 77:2331-2346, 2017. © 2016 International Society for Magnetic Resonance in Medicine. © 2016 International Society for Magnetic Resonance in Medicine.
Accurate determination of imaging modality using an ensemble of text- and image-based classifiers.
Kahn, Charles E; Kalpathy-Cramer, Jayashree; Lam, Cesar A; Eldredge, Christina E
2012-02-01
Imaging modality can aid retrieval of medical images for clinical practice, research, and education. We evaluated whether an ensemble classifier could outperform its constituent individual classifiers in determining the modality of figures from radiology journals. Seventeen automated classifiers analyzed 77,495 images from two radiology journals. Each classifier assigned one of eight imaging modalities--computed tomography, graphic, magnetic resonance imaging, nuclear medicine, positron emission tomography, photograph, ultrasound, or radiograph-to each image based on visual and/or textual information. Three physicians determined the modality of 5,000 randomly selected images as a reference standard. A "Simple Vote" ensemble classifier assigned each image to the modality that received the greatest number of individual classifiers' votes. A "Weighted Vote" classifier weighted each individual classifier's vote based on performance over a training set. For each image, this classifier's output was the imaging modality that received the greatest weighted vote score. We measured precision, recall, and F score (the harmonic mean of precision and recall) for each classifier. Individual classifiers' F scores ranged from 0.184 to 0.892. The simple vote and weighted vote classifiers correctly assigned 4,565 images (F score, 0.913; 95% confidence interval, 0.905-0.921) and 4,672 images (F score, 0.934; 95% confidence interval, 0.927-0.941), respectively. The weighted vote classifier performed significantly better than all individual classifiers. An ensemble classifier correctly determined the imaging modality of 93% of figures in our sample. The imaging modality of figures published in radiology journals can be determined with high accuracy, which will improve systems for image retrieval.
The energy-momentum tensor(s) in classical gauge theories
Blaschke, Daniel N.; Gieres, François; Reboud, Méril; ...
2016-07-12
We give an introduction to, and review of, the energy-momentum tensors in classical gauge field theories in Minkowski space, and to some extent also in curved space-time. For the canonical energy-momentum tensor of non-Abelian gauge fields and of matter fields coupled to such fields, we present a new and simple improvement procedure based on gauge invariance for constructing a gauge invariant, symmetric energy-momentum tensor. In conclusion, the relationship with the Einstein-Hilbert tensor following from the coupling to a gravitational field is also discussed.
Improving Voting in Ohio through Education. A Voter Education Program for Elementary Grades.
ERIC Educational Resources Information Center
Celebrezze, Anthony J., Jr.; Walter, Franklin
This resource booklet contains activities for elementary teachers who want to teach their students about voting and the election process. Part I consists of suggestions for conducting an election at different grade levels. All of the elections involve real choices that affect the student (e.g. choice of ice cream flavor or other treat for a class…
Federal Register 2010, 2011, 2012, 2013, 2014
2010-05-04
... By-Laws to make improvements in its governance. In SR-NASDAQ-2010-025, The NASDAQ Stock Market LLC... director receiving a plurality of the votes at any election of directors at which a quorum is present is... director in an uncontested election who received a greater number of votes ``withheld'' from his or her...
ITrace: An implicit trust inference method for trust-aware collaborative filtering
NASA Astrophysics Data System (ADS)
He, Xu; Liu, Bin; Chen, Kejia
2018-04-01
The growth of Internet commerce has stimulated the use of collaborative filtering (CF) algorithms as recommender systems. A CF algorithm recommends items of interest to the target user by leveraging the votes given by other similar users. In a standard CF framework, it is assumed that the credibility of every voting user is exactly the same with respect to the target user. This assumption is not satisfied and thus may lead to misleading recommendations in many practical applications. A natural countermeasure is to design a trust-aware CF (TaCF) algorithm, which can take account of the difference in the credibilities of the voting users when performing CF. To this end, this paper presents a trust inference approach, which can predict the implicit trust of the target user on every voting user from a sparse explicit trust matrix. Then an improved CF algorithm termed iTrace is proposed, which takes advantage of both the explicit and the predicted implicit trust to provide recommendations with the CF framework. An empirical evaluation on a public dataset demonstrates that the proposed algorithm provides a significant improvement in recommendation quality in terms of mean absolute error.
NASA Astrophysics Data System (ADS)
Polewski, Przemyslaw; Yao, Wei; Heurich, Marco; Krzystek, Peter; Stilla, Uwe
2017-07-01
This paper introduces a statistical framework for detecting cylindrical shapes in dense point clouds. We target the application of mapping fallen trees in datasets obtained through terrestrial laser scanning. This is a challenging task due to the presence of ground vegetation, standing trees, DTM artifacts, as well as the fragmentation of dead trees into non-collinear segments. Our method shares the concept of voting in parameter space with the generalized Hough transform, however two of its significant drawbacks are improved upon. First, the need to generate samples on the shape's surface is eliminated. Instead, pairs of nearby input points lying on the surface cast a vote for the cylinder's parameters based on the intrinsic geometric properties of cylindrical shapes. Second, no discretization of the parameter space is required: the voting is carried out in continuous space by means of constructing a kernel density estimator and obtaining its local maxima, using automatic, data-driven kernel bandwidth selection. Furthermore, we show how the detected cylindrical primitives can be efficiently merged to obtain object-level (entire tree) semantic information using graph-cut segmentation and a tailored dynamic algorithm for eliminating cylinder redundancy. Experiments were performed on 3 plots from the Bavarian Forest National Park, with ground truth obtained through visual inspection of the point clouds. It was found that relative to sample consensus (SAC) cylinder fitting, the proposed voting framework can improve the detection completeness by up to 10 percentage points while maintaining the correctness rate.
Saeed, Faisal; Salim, Naomie; Abdo, Ammar
2013-07-01
Many consensus clustering methods have been applied in different areas such as pattern recognition, machine learning, information theory and bioinformatics. However, few methods have been used for chemical compounds clustering. In this paper, an information theory and voting based algorithm (Adaptive Cumulative Voting-based Aggregation Algorithm A-CVAA) was examined for combining multiple clusterings of chemical structures. The effectiveness of clusterings was evaluated based on the ability of the clustering method to separate active from inactive molecules in each cluster, and the results were compared with Ward's method. The chemical dataset MDL Drug Data Report (MDDR) and the Maximum Unbiased Validation (MUV) dataset were used. Experiments suggest that the adaptive cumulative voting-based consensus method can improve the effectiveness of combining multiple clusterings of chemical structures. Copyright © 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Huang, He; Luo, Li -Shi; Li, Rui
To compute the non-oscillating mutual interaction for a systems with N points, the fast multipole method (FMM) has an efficiency that scales linearly with the number of points. Specifically, for Coulomb interaction, FMM can be constructed using either the spherical harmonic functions or the totally symmetric Cartesian tensors. In this paper, we will present that the effciency of the Cartesian tensor-based FMM for the Coulomb interaction can be significantly improved by implementing the traces of the Cartesian tensors in calculation to reduce the independent elements of the n-th rank totally symmetric Cartesian tensor from (n + 1)(n + 2)=2 tomore » 2n + 1. The computation complexity for the operations in FMM are analyzed and expressed as polynomials of the highest rank of the Cartesian tensors. For most operations, the complexity is reduced by one order. Numerical examples regarding the convergence and the effciency of the new algorithm are demonstrated. As a result, a reduction of computation time up to 50% has been observed for a moderate number of points and rank of tensors.« less
Huang, He; Luo, Li -Shi; Li, Rui; ...
2018-05-17
To compute the non-oscillating mutual interaction for a systems with N points, the fast multipole method (FMM) has an efficiency that scales linearly with the number of points. Specifically, for Coulomb interaction, FMM can be constructed using either the spherical harmonic functions or the totally symmetric Cartesian tensors. In this paper, we will present that the effciency of the Cartesian tensor-based FMM for the Coulomb interaction can be significantly improved by implementing the traces of the Cartesian tensors in calculation to reduce the independent elements of the n-th rank totally symmetric Cartesian tensor from (n + 1)(n + 2)=2 tomore » 2n + 1. The computation complexity for the operations in FMM are analyzed and expressed as polynomials of the highest rank of the Cartesian tensors. For most operations, the complexity is reduced by one order. Numerical examples regarding the convergence and the effciency of the new algorithm are demonstrated. As a result, a reduction of computation time up to 50% has been observed for a moderate number of points and rank of tensors.« less
Video repairing under variable illumination using cyclic motions.
Jia, Jiaya; Tai, Yu-Wing; Wu, Tai-Pang; Tang, Chi-Keung
2006-05-01
This paper presents a complete system capable of synthesizing a large number of pixels that are missing due to occlusion or damage in an uncalibrated input video. These missing pixels may correspond to the static background or cyclic motions of the captured scene. Our system employs user-assisted video layer segmentation, while the main processing in video repair is fully automatic. The input video is first decomposed into the color and illumination videos. The necessary temporal consistency is maintained by tensor voting in the spatio-temporal domain. Missing colors and illumination of the background are synthesized by applying image repairing. Finally, the occluded motions are inferred by spatio-temporal alignment of collected samples at multiple scales. We experimented on our system with some difficult examples with variable illumination, where the capturing camera can be stationary or in motion.
Automatic tissue characterization from ultrasound imagery
NASA Astrophysics Data System (ADS)
Kadah, Yasser M.; Farag, Aly A.; Youssef, Abou-Bakr M.; Badawi, Ahmed M.
1993-08-01
In this work, feature extraction algorithms are proposed to extract the tissue characterization parameters from liver images. Then the resulting parameter set is further processed to obtain the minimum number of parameters representing the most discriminating pattern space for classification. This preprocessing step was applied to over 120 pathology-investigated cases to obtain the learning data for designing the classifier. The extracted features are divided into independent training and test sets and are used to construct both statistical and neural classifiers. The optimal criteria for these classifiers are set to have minimum error, ease of implementation and learning, and the flexibility for future modifications. Various algorithms for implementing various classification techniques are presented and tested on the data. The best performance was obtained using a single layer tensor model functional link network. Also, the voting k-nearest neighbor classifier provided comparably good diagnostic rates.
Zuluaga, Maria A; Rodionov, Roman; Nowell, Mark; Achhala, Sufyan; Zombori, Gergely; Mendelson, Alex F; Cardoso, M Jorge; Miserocchi, Anna; McEvoy, Andrew W; Duncan, John S; Ourselin, Sébastien
2015-08-01
Brain vessels are among the most critical landmarks that need to be assessed for mitigating surgical risks in stereo-electroencephalography (SEEG) implantation. Intracranial haemorrhage is the most common complication associated with implantation, carrying significantly associated morbidity. SEEG planning is done pre-operatively to identify avascular trajectories for the electrodes. In current practice, neurosurgeons have no assistance in the planning of electrode trajectories. There is great interest in developing computer-assisted planning systems that can optimise the safety profile of electrode trajectories, maximising the distance to critical structures. This paper presents a method that integrates the concepts of scale, neighbourhood structure and feature stability with the aim of improving robustness and accuracy of vessel extraction within a SEEG planning system. The developed method accounts for scale and vicinity of a voxel by formulating the problem within a multi-scale tensor voting framework. Feature stability is achieved through a similarity measure that evaluates the multi-modal consistency in vesselness responses. The proposed measurement allows the combination of multiple images modalities into a single image that is used within the planning system to visualise critical vessels. Twelve paired data sets from two image modalities available within the planning system were used for evaluation. The mean Dice similarity coefficient was 0.89 ± 0.04, representing a statistically significantly improvement when compared to a semi-automated single human rater, single-modality segmentation protocol used in clinical practice (0.80 ± 0.03). Multi-modal vessel extraction is superior to semi-automated single-modality segmentation, indicating the possibility of safer SEEG planning, with reduced patient morbidity.
Tri-Clustered Tensor Completion for Social-Aware Image Tag Refinement.
Tang, Jinhui; Shu, Xiangbo; Qi, Guo-Jun; Li, Zechao; Wang, Meng; Yan, Shuicheng; Jain, Ramesh
2017-08-01
Social image tag refinement, which aims to improve tag quality by automatically completing the missing tags and rectifying the noise-corrupted ones, is an essential component for social image search. Conventional approaches mainly focus on exploring the visual and tag information, without considering the user information, which often reveals important hints on the (in)correct tags of social images. Towards this end, we propose a novel tri-clustered tensor completion framework to collaboratively explore these three kinds of information to improve the performance of social image tag refinement. Specifically, the inter-relations among users, images and tags are modeled by a tensor, and the intra-relations between users, images and tags are explored by three regularizations respectively. To address the challenges of the super-sparse and large-scale tensor factorization that demands expensive computing and memory cost, we propose a novel tri-clustering method to divide the tensor into a certain number of sub-tensors by simultaneously clustering users, images and tags into a bunch of tri-clusters. And then we investigate two strategies to complete these sub-tensors by considering (in)dependence between the sub-tensors. Experimental results on a real-world social image database demonstrate the superiority of the proposed method compared with the state-of-the-art methods.
2017-01-01
Remote Internet voting places the control and secrecy of the immediate voting environment on the shoulder of the individual voter but it also turns voting into yet another on-line activity thus endangering the well-known social nature of voting and possibly reducing the crucial sense of civic duty that is important for a healthy democracy. There is however a complete lack of evidence to what degree this actually materializes once electronic voting is introduced. This paper uses individual level log data on Internet voting in Estonian elections between 2013–2015 to inspect if Internet voting retains the social nature of the voting act. We do so by examining if Internet voting in groups takes place and what implications it has for voting speed. We find strong evidence of e-voting in pairs. Same aged male-female pairs seem to be voting in close proximity to each other, consistent with spouses or partners voting together. Also, female-female and female-male pairs with large age differences seem to be voting together, consistent with a parent voting with an adult aged offspring. With regards to voting speed we see the second vote in a vote pair being considerably faster than the first vote, again indicating a shared voting act. We end with a discussion of how the onset of electronic voting does not make elections less social, but does make vote secrecy more a choice rather than a requirement. PMID:28542348
The technological obsolescence of the Brazilian eletronic ballot box.
Camargo, Carlos Rogério; Faust, Richard; Merino, Eugênio; Stefani, Clarissa
2012-01-01
The electronic ballot box has played a significant role in the consolidation of Brazilian political process. It has enabled paper ballots extinction as a support for the elector's vote as well as for voting counting processes. It is also widely known that election automation has decisively collaborated to the legitimization of Brazilian democracy, getting rid of doubts about the winning candidates. In 1995, when the project was conceived, it represented a compromise solution, balancing technical efficiency and costs trade-offs. However, this architecture currently limits the ergonomic enhancements to the device operation, transportation, maintenance and storage. Nowadays are available in the market devices of reduced dimensions, based on novel computational architecture, namely tablet computers, which emphasizes usability, autonomy, portability, security and low power consumption. Therefore, the proposal under discussion is the replacement of the current electronic ballot boxes for tablet-based devices to improve the ergonomics aspects of the Brazilian voting process. These devices offer a plethora of integrated features (e.g., capacitive touchscreen, speakers, microphone) that enable highly usable and simple user interfaces, in addition to enhancing the voting process security mechanisms. Finally, their operational systems features allow for the development of highly secure applications, suitable to the requirements of a voting process.
Defense.gov - Special Report: VOTE
Voting Action Plan (pdf) 2013 USMC Voting Action Plan (pdf) 2013 Army Voting Action Plan (pdf) Air Force Voting Plan 2012-13 (pdf) Army Voting Action Plan 2012 (pdf) Marine Corps Voting Action Plan 2012 (pdf ) Navy Voting Action Plan (pdf) Overseas Vote Foundation Project Vote Smart Preparing for the 2012
Diffusion Tensor Image Registration Using Hybrid Connectivity and Tensor Features
Wang, Qian; Yap, Pew-Thian; Wu, Guorong; Shen, Dinggang
2014-01-01
Most existing diffusion tensor imaging (DTI) registration methods estimate structural correspondences based on voxelwise matching of tensors. The rich connectivity information that is given by DTI, however, is often neglected. In this article, we propose to integrate complementary information given by connectivity features and tensor features for improved registration accuracy. To utilize connectivity information, we place multiple anchors representing different brain anatomies in the image space, and define the connectivity features for each voxel as the geodesic distances from all anchors to the voxel under consideration. The geodesic distance, which is computed in relation to the tensor field, encapsulates information of brain connectivity. We also extract tensor features for every voxel to reflect the local statistics of tensors in its neighborhood. We then combine both connectivity features and tensor features for registration of tensor images. From the images, landmarks are selected automatically and their correspondences are determined based on their connectivity and tensor feature vectors. The deformation field that deforms one tensor image to the other is iteratively estimated and optimized according to the landmarks and their associated correspondences. Experimental results show that, by using connectivity features and tensor features simultaneously, registration accuracy is increased substantially compared with the cases using either type of features alone. PMID:24293159
Remote sensing image stitch using modified structure deformation
NASA Astrophysics Data System (ADS)
Pan, Ke-cheng; Chen, Jin-wei; Chen, Yueting; Feng, Huajun
2012-10-01
To stitch remote sensing images seamlessly without producing visual artifact which is caused by severe intensity discrepancy and structure misalignment, we modify the original structure deformation based stitching algorithm which have two main problems: Firstly, using Poisson equation to propagate deformation vectors leads to the change of the topological relationship between the key points and their surrounding pixels, which may bring in wrong image characteristics. Secondly, the diffusion area of the sparse matrix is too limited to rectify the global intensity discrepancy. To solve the first problem, we adopt Spring-Mass model and bring in external force to keep the topological relationship between key points and their surrounding pixels. We also apply tensor voting algorithm to achieve the global intensity corresponding curve of the two images to solve the second problem. Both simulated and experimental results show that our algorithm is faster and can reach better result than the original algorithm.
Controllable Edge Feature Sharpening for Dental Applications
2014-01-01
This paper presents a new approach to sharpen blurred edge features in scanned tooth preparation surfaces generated by structured-light scanners. It aims to efficiently enhance the edge features so that the embedded feature lines can be easily identified in dental CAD systems, and to avoid unnatural oversharpening geometry. We first separate the feature regions using graph-cut segmentation, which does not require a user-defined threshold. Then, we filter the face normal vectors to propagate the geometry from the smooth region to the feature region. In order to control the degree of the sharpness, we propose a feature distance measure which is based on normal tensor voting. Finally, the vertex positions are updated according to the modified face normal vectors. We have applied the approach to scanned tooth preparation models. The results show that the blurred edge features are enhanced without unnatural oversharpening geometry. PMID:24741376
Controllable edge feature sharpening for dental applications.
Fan, Ran; Jin, Xiaogang
2014-01-01
This paper presents a new approach to sharpen blurred edge features in scanned tooth preparation surfaces generated by structured-light scanners. It aims to efficiently enhance the edge features so that the embedded feature lines can be easily identified in dental CAD systems, and to avoid unnatural oversharpening geometry. We first separate the feature regions using graph-cut segmentation, which does not require a user-defined threshold. Then, we filter the face normal vectors to propagate the geometry from the smooth region to the feature region. In order to control the degree of the sharpness, we propose a feature distance measure which is based on normal tensor voting. Finally, the vertex positions are updated according to the modified face normal vectors. We have applied the approach to scanned tooth preparation models. The results show that the blurred edge features are enhanced without unnatural oversharpening geometry.
Dinh, Duy; Tamine, Lynda; Boubekeur, Fatiha
2013-02-01
The aim of this work is to evaluate a set of indexing and retrieval strategies based on the integration of several biomedical terminologies on the available TREC Genomics collections for an ad hoc information retrieval (IR) task. We propose a multi-terminology based concept extraction approach to selecting best concepts from free text by means of voting techniques. We instantiate this general approach on four terminologies (MeSH, SNOMED, ICD-10 and GO). We particularly focus on the effect of integrating terminologies into a biomedical IR process, and the utility of using voting techniques for combining the extracted concepts from each document in order to provide a list of unique concepts. Experimental studies conducted on the TREC Genomics collections show that our multi-terminology IR approach based on voting techniques are statistically significant compared to the baseline. For example, tested on the 2005 TREC Genomics collection, our multi-terminology based IR approach provides an improvement rate of +6.98% in terms of MAP (mean average precision) (p<0.05) compared to the baseline. In addition, our experimental results show that document expansion using preferred terms in combination with query expansion using terms from top ranked expanded documents improve the biomedical IR effectiveness. We have evaluated several voting models for combining concepts issued from multiple terminologies. Through this study, we presented many factors affecting the effectiveness of biomedical IR system including term weighting, query expansion, and document expansion models. The appropriate combination of those factors could be useful to improve the IR performance. Copyright © 2012 Elsevier B.V. All rights reserved.
Establishing end-of-life boards for palliative care of patients with advanced diseases.
Masel, Eva K; Unseld, Matthias; Adamidis, Feroniki; Roider-Schur, Sophie; Watzke, Herbert H
2018-04-01
Interdisciplinary tumor board decisions improve the quality of oncological therapies, while no such boards exist for end-of-life (EOL) decisions. The aim of this study was to assess the willingness of hemato-oncological and palliative care professionals to develop and participate in EOL boards. An aim of an EOL board would be to establish an interdisciplinary and comprehensive care for the remaining lifetime of patients suffering from advanced incurable diseases. Staff from the interdisciplinary teams of all hemato-oncological and palliative care wards in Vienna were invited to anonymously participate in an online survey. 309 professionals responded. 91% respondents reported a need to establish an EOL board, 63% expressed their willingness to actively participate in an EOL board, and 25% were indecisive. Regarding patient presence, 50% voted for an EOL board in the presence of the patients, and 36% voted for an EOL board in the absence of the patients. 95% had the opinion that an EOL board could improve patient care in the last phase of life. 64% stated that the development of an EOL board would be worthwhile, while 28% did not see enough resources available at their institutions. Regarding the desired type of documentation, 61% voted for a centrally available EOL decision, and 31% supported an in-house-based documentation. 94% voted for the availability of an information folder about EOL care. The willingness of professionals to establish an EOL board was very high. Further steps should be taken to implement such boards to improve EOL care.
Entanglement branching operator
NASA Astrophysics Data System (ADS)
Harada, Kenji
2018-01-01
We introduce an entanglement branching operator to split a composite entanglement flow in a tensor network which is a promising theoretical tool for many-body systems. We can optimize an entanglement branching operator by solving a minimization problem based on squeezing operators. The entanglement branching is a new useful operation to manipulate a tensor network. For example, finding a particular entanglement structure by an entanglement branching operator, we can improve a higher-order tensor renormalization group method to catch a proper renormalization flow in a tensor network space. This new method yields a new type of tensor network states. The second example is a many-body decomposition of a tensor by using an entanglement branching operator. We can use it for a perfect disentangling among tensors. Applying a many-body decomposition recursively, we conceptually derive projected entangled pair states from quantum states that satisfy the area law of entanglement entropy.
A voting-based star identification algorithm utilizing local and global distribution
NASA Astrophysics Data System (ADS)
Fan, Qiaoyun; Zhong, Xuyang; Sun, Junhua
2018-03-01
A novel star identification algorithm based on voting scheme is presented in this paper. In the proposed algorithm, the global distribution and local distribution of sensor stars are fully utilized, and the stratified voting scheme is adopted to obtain the candidates for sensor stars. The database optimization is employed to reduce its memory requirement and improve the robustness of the proposed algorithm. The simulation shows that the proposed algorithm exhibits 99.81% identification rate with 2-pixel standard deviations of positional noises and 0.322-Mv magnitude noises. Compared with two similar algorithms, the proposed algorithm is more robust towards noise, and the average identification time and required memory is less. Furthermore, the real sky test shows that the proposed algorithm performs well on the real star images.
2009-07-01
this survey include Erin St. Pierre and Scott Wiedmann (Federal Voting Assistance Program ). Other important contributors to the survey development...20 a. Federal Voting Assistance Program (FVAP) onsite VAO training workshop...the voting program .............................37 November 2008 Post-Election Voting Survey of Department of State Voting Assistance Officers
One Man One Vote: Trust between the Electorate, the Establishment, and Voting Technology
ERIC Educational Resources Information Center
Robertson, Laurie
2006-01-01
Historically any U.S. voting technology is burdened from its very inception with the expectation of technologically ensuring voting integrity. Voting is an officially sanctioned social activity/ritual in a technologically-focused nation, so U.S. voters arrive at the polls expecting that voting technology will ensure that their vote "counts. But no…
Hiremath, S B; Muraleedharan, A; Kumar, S; Nagesh, C; Kesavadas, C; Abraham, M; Kapilamoorthy, T R; Thomas, B
2017-04-01
Tumefactive demyelinating lesions with atypical features can mimic high-grade gliomas on conventional imaging sequences. The aim of this study was to assess the role of conventional imaging, DTI metrics ( p:q tensor decomposition), and DSC perfusion in differentiating tumefactive demyelinating lesions and high-grade gliomas. Fourteen patients with tumefactive demyelinating lesions and 21 patients with high-grade gliomas underwent brain MR imaging with conventional, DTI, and DSC perfusion imaging. Imaging sequences were assessed for differentiation of the lesions. DTI metrics in the enhancing areas and perilesional hyperintensity were obtained by ROI analysis, and the relative CBV values in enhancing areas were calculated on DSC perfusion imaging. Conventional imaging sequences had a sensitivity of 80.9% and specificity of 57.1% in differentiating high-grade gliomas ( P = .049) from tumefactive demyelinating lesions. DTI metrics ( p : q tensor decomposition) and DSC perfusion demonstrated a statistically significant difference in the mean values of ADC, the isotropic component of the diffusion tensor, the anisotropic component of the diffusion tensor, the total magnitude of the diffusion tensor, and rCBV among enhancing portions in tumefactive demyelinating lesions and high-grade gliomas ( P ≤ .02), with the highest specificity for ADC, the anisotropic component of the diffusion tensor, and relative CBV (92.9%). Mean fractional anisotropy values showed no significant statistical difference between tumefactive demyelinating lesions and high-grade gliomas. The combination of DTI and DSC parameters improved the diagnostic accuracy (area under the curve = 0.901). Addition of a heterogeneous enhancement pattern to DTI and DSC parameters improved it further (area under the curve = 0.966). The sensitivity increased from 71.4% to 85.7% after the addition of the enhancement pattern. DTI and DSC perfusion add profoundly to conventional imaging in differentiating tumefactive demyelinating lesions and high-grade gliomas. The combination of DTI metrics and DSC perfusion markedly improved diagnostic accuracy. © 2017 by American Journal of Neuroradiology.
Richardson, Jeff; Iezzi, Angelo; Maxwell, Aimee; Chen, Gang
2017-08-11
It has been proposed that equity may be included in the economic evaluation of health services using the 'proportional shortfall' (PS)-the proportion of a person's QALY expectation that they would lose because of an illness. The present paper reports the results of a population survey designed to test whether PS helped to explain people's preferences for health services and whether it did this better than the absolute shortfall or the equity related variables that PS seeks to replace. Survey respondents were asked to allocate 100 votes between 13 scenarios and a standard scenario. Variation in the allocation of votes was explained by health gain and different combinations of the equity variables. Differences in votes for the comparisons were significantly related to differences in PS but the relationship was weaker than between votes and the age related variables. Cases were identified where PS suggested a priority ordering of services which was strongly rejected by respondents. It is concluded that the use of PS is unlikely to improve the alignment of priorities with public preferences.
Reduction of lymph tissue false positives in pulmonary embolism detection
NASA Astrophysics Data System (ADS)
Ghanem, Bernard; Liang, Jianming; Bi, Jinbo; Salganicoff, Marcos; Krishnan, Arun
2008-03-01
Pulmonary embolism (PE) is a serious medical condition, characterized by the partial/complete blockage of an artery within the lungs. We have previously developed a fast yet effective approach for computer aided detection of PE in computed topographic pulmonary angiography (CTPA),1 which is capable of detecting both acute and chronic PEs, achieving a benchmark performance of 78% sensitivity at 4 false positives (FPs) per volume. By reviewing the FPs generated by this system, we found the most dominant type of FP, roughly one third of all FPs, to be lymph/connective tissue. In this paper, we propose a novel approach that specifically aims at reducing this FP type. Our idea is to explicitly exploit the anatomical context configuration of PE and lymph tissue in the lungs: a lymph FP connects to the airway and is located outside the artery, while a true PE should not connect to the airway and must be inside the artery. To realize this idea, given a detected candidate (i.e. a cluster of suspicious voxels), we compute a set of contextual features, including its distance to the airway based on local distance transform and its relative position to the artery based on fast tensor voting and Hessian "vesselness" scores. Our tests on unseen cases show that these features can reduce the lymph FPs by 59%, while improving the overall sensitivity by 3.4%.
VeryVote: A Voter Verifiable Code Voting System
NASA Astrophysics Data System (ADS)
Joaquim, Rui; Ribeiro, Carlos; Ferreira, Paulo
Code voting is a technique used to address the secure platform problem of remote voting. A code voting system consists in secretly sending, e.g. by mail, code sheets to voters that map their choices to entry codes in their ballot. While voting, the voter uses the code sheet to know what code to enter in order to vote for a particular candidate. In effect, the voter does the vote encryption and, since no malicious software on the PC has access to the code sheet it is not able to change the voter’s intention. However, without compromising the voter’s privacy, the vote codes are not enough to prove that the vote is recorded and counted as cast by the election server.
Voting systems for environmental decisions.
Burgman, Mark A; Regan, Helen M; Maguire, Lynn A; Colyvan, Mark; Justus, James; Martin, Tara G; Rothley, Kris
2014-04-01
Voting systems aggregate preferences efficiently and are often used for deciding conservation priorities. Desirable characteristics of voting systems include transitivity, completeness, and Pareto optimality, among others. Voting systems that are common and potentially useful for environmental decision making include simple majority, approval, and preferential voting. Unfortunately, no voting system can guarantee an outcome, while also satisfying a range of very reasonable performance criteria. Furthermore, voting methods may be manipulated by decision makers and strategic voters if they have knowledge of the voting patterns and alliances of others in the voting populations. The difficult properties of voting systems arise in routine decision making when there are multiple criteria and management alternatives. Because each method has flaws, we do not endorse one method. Instead, we urge organizers to be transparent about the properties of proposed voting systems and to offer participants the opportunity to approve the voting system as part of the ground rules for operation of a group. © 2014 The Authors. Conservation Biology published by Wiley Periodicals, Inc., on behalf of the Society for Conservation Biology.
Preserving anonymity in e-voting system using voter non-repudiation oriented scheme
NASA Astrophysics Data System (ADS)
Hamid, Isredza Rahmi A.; Radzi, Siti Nafishah Md; Rahman, Nurul Hidayah Ab; Wen, Chuah Chai; Abdullah, Nurul Azma
2017-10-01
The voting system has been developed from traditional paper ballot to electronic voting (e-voting). The e-voting system has high potential to be widely used in election event. However, the e-voting system still does not meet the most important security properties which are voter's authenticity and non-repudiation. This is because voters can simply vote again by entering other people's identification number. In this project, an electronic voting using voter non-repudiation oriented scheme will be developed. This system contains ten modules which are log in, vote session, voter, candidate, open session, voting results, user account, initial score, logs and reset vote count. In order to ensure there would be no non-repudiation issue, a voter non-repudiation oriented scheme concept will be adapted and implemented in the system. This system will be built using Microsoft Visual Studio 2013 which only can be accessed using personal computers at the voting center. This project will be beneficial for future use in order to overcome non-repudiation issue.
Tensor sufficient dimension reduction
Zhong, Wenxuan; Xing, Xin; Suslick, Kenneth
2015-01-01
Tensor is a multiway array. With the rapid development of science and technology in the past decades, large amount of tensor observations are routinely collected, processed, and stored in many scientific researches and commercial activities nowadays. The colorimetric sensor array (CSA) data is such an example. Driven by the need to address data analysis challenges that arise in CSA data, we propose a tensor dimension reduction model, a model assuming the nonlinear dependence between a response and a projection of all the tensor predictors. The tensor dimension reduction models are estimated in a sequential iterative fashion. The proposed method is applied to a CSA data collected for 150 pathogenic bacteria coming from 10 bacterial species and 14 bacteria from one control species. Empirical performance demonstrates that our proposed method can greatly improve the sensitivity and specificity of the CSA technique. PMID:26594304
NASA Astrophysics Data System (ADS)
Ammari, Habib; Qiu, Lingyun; Santosa, Fadil; Zhang, Wenlong
2017-12-01
In this paper we present a mathematical and numerical framework for a procedure of imaging anisotropic electrical conductivity tensor by integrating magneto-acoutic tomography with data acquired from diffusion tensor imaging. Magneto-acoustic tomography with magnetic induction (MAT-MI) is a hybrid, non-invasive medical imaging technique to produce conductivity images with improved spatial resolution and accuracy. Diffusion tensor imaging (DTI) is also a non-invasive technique for characterizing the diffusion properties of water molecules in tissues. We propose a model for anisotropic conductivity in which the conductivity is proportional to the diffusion tensor. Under this assumption, we propose an optimal control approach for reconstructing the anisotropic electrical conductivity tensor. We prove convergence and Lipschitz type stability of the algorithm and present numerical examples to illustrate its accuracy and feasibility.
The Voting Rights Act: Unfulfilled Goals.
ERIC Educational Resources Information Center
Commission on Civil Rights, Washington, DC.
This report examines the current status of minority voting rights covered by the special provisions of the Voting Rights Act of 1965. The special provisions prescribe added protection of minority voting rights in those jurisdictions where discrimination in voting has been most pervasive. The report explains the Voting Rights Act and discusses its…
Brainstorming: weighted voting prediction of inhibitors for protein targets.
Plewczynski, Dariusz
2011-09-01
The "Brainstorming" approach presented in this paper is a weighted voting method that can improve the quality of predictions generated by several machine learning (ML) methods. First, an ensemble of heterogeneous ML algorithms is trained on available experimental data, then all solutions are gathered and a consensus is built between them. The final prediction is performed using a voting procedure, whereby the vote of each method is weighted according to a quality coefficient calculated using multivariable linear regression (MLR). The MLR optimization procedure is very fast, therefore no additional computational cost is introduced by using this jury approach. Here, brainstorming is applied to selecting actives from large collections of compounds relating to five diverse biological targets of medicinal interest, namely HIV-reverse transcriptase, cyclooxygenase-2, dihydrofolate reductase, estrogen receptor, and thrombin. The MDL Drug Data Report (MDDR) database was used for selecting known inhibitors for these protein targets, and experimental data was then used to train a set of machine learning methods. The benchmark dataset (available at http://bio.icm.edu.pl/∼darman/chemoinfo/benchmark.tar.gz ) can be used for further testing of various clustering and machine learning methods when predicting the biological activity of compounds. Depending on the protein target, the overall recall value is raised by at least 20% in comparison to any single machine learning method (including ensemble methods like random forest) and unweighted simple majority voting procedures.
OPERATOR NORM INEQUALITIES BETWEEN TENSOR UNFOLDINGS ON THE PARTITION LATTICE
Wang, Miaoyan; Duc, Khanh Dao; Fischer, Jonathan; Song, Yun S.
2017-01-01
Interest in higher-order tensors has recently surged in data-intensive fields, with a wide range of applications including image processing, blind source separation, community detection, and feature extraction. A common paradigm in tensor-related algorithms advocates unfolding (or flattening) the tensor into a matrix and applying classical methods developed for matrices. Despite the popularity of such techniques, how the functional properties of a tensor changes upon unfolding is currently not well understood. In contrast to the body of existing work which has focused almost exclusively on matricizations, we here consider all possible unfoldings of an order-k tensor, which are in one-to-one correspondence with the set of partitions of {1, …, k}. We derive general inequalities between the lp-norms of arbitrary unfoldings defined on the partition lattice. In particular, we demonstrate how the spectral norm (p = 2) of a tensor is bounded by that of its unfoldings, and obtain an improved upper bound on the ratio of the Frobenius norm to the spectral norm of an arbitrary tensor. For specially-structured tensors satisfying a generalized definition of orthogonal decomposability, we prove that the spectral norm remains invariant under specific subsets of unfolding operations. PMID:28286347
OPERATOR NORM INEQUALITIES BETWEEN TENSOR UNFOLDINGS ON THE PARTITION LATTICE.
Wang, Miaoyan; Duc, Khanh Dao; Fischer, Jonathan; Song, Yun S
2017-05-01
Interest in higher-order tensors has recently surged in data-intensive fields, with a wide range of applications including image processing, blind source separation, community detection, and feature extraction. A common paradigm in tensor-related algorithms advocates unfolding (or flattening) the tensor into a matrix and applying classical methods developed for matrices. Despite the popularity of such techniques, how the functional properties of a tensor changes upon unfolding is currently not well understood. In contrast to the body of existing work which has focused almost exclusively on matricizations, we here consider all possible unfoldings of an order- k tensor, which are in one-to-one correspondence with the set of partitions of {1, …, k }. We derive general inequalities between the l p -norms of arbitrary unfoldings defined on the partition lattice. In particular, we demonstrate how the spectral norm ( p = 2) of a tensor is bounded by that of its unfoldings, and obtain an improved upper bound on the ratio of the Frobenius norm to the spectral norm of an arbitrary tensor. For specially-structured tensors satisfying a generalized definition of orthogonal decomposability, we prove that the spectral norm remains invariant under specific subsets of unfolding operations.
NASA Astrophysics Data System (ADS)
Lin, Chern-Sheng; Chen, Chia-Tse; Shei, Hung-Jung; Lay, Yun-Long; Chiu, Chuang-Chien
2012-09-01
This study develops a body motion interactive system with computer vision technology. This application combines interactive games, art performing, and exercise training system. Multiple image processing and computer vision technologies are used in this study. The system can calculate the characteristics of an object color, and then perform color segmentation. When there is a wrong action judgment, the system will avoid the error with a weight voting mechanism, which can set the condition score and weight value for the action judgment, and choose the best action judgment from the weight voting mechanism. Finally, this study estimated the reliability of the system in order to make improvements. The results showed that, this method has good effect on accuracy and stability during operations of the human-machine interface of the sports training system.
Lee, M J; Heywood, N; Sagar, P M; Brown, S R; Fearnhead, N S
2017-05-01
Management of fistulating perianal Crohn's disease (fpCD) is a significant challenge for a colorectal surgeon. A recent survey of surgical practice in this condition showed variation in management approaches. As a result we set out to devise recommendations for practice for UK colorectal surgeons. Results from a national survey were used to devise a set of potential consensus statements. Consultant colorectal surgeons were invited to participate in the exercise via the previous survey and the mailing list of the professional society. Iterative voting was performed on each statement using a five-point Likert scale and electronic voting, with opportunity for discussion and refinement between each vote. Consensus was defined as > 80% agreement. Seventeen surgeons and two patient representatives voted upon 51 statements. Consensus was achieved on 39 items. Participants advocated a patient-centred approach by a colorectal specialist, within strong multidisciplinary teamworking. The use of anti-TNFα therapy is advocated. Where definitive surgical techniques are considered they should be carefully selected to avoid adverse impact on function. Ano/rectovaginal fistulas should be managed by specialists in fistulating disease. Stoma or proctectomy could be discussed earlier in a patient's treatment pathway to improve choice, as they may improve quality of life. This consensus provides principles and guidance for best practice in managing patients with fpCD. Colorectal Disease © 2017 The Association of Coloproctology of Great Britain and Ireland.
NASA Astrophysics Data System (ADS)
Chen, Y.; Huang, L.
2017-12-01
Moment tensors are key parameters for characterizing CO2-injection-induced microseismic events. Elastic-waveform inversion has the potential to providing accurate results of moment tensors. Microseismic waveforms contains information of source moment tensors and the wave propagation velocity along the wavepaths. We develop an elastic-waveform inversion method to jointly invert the seismic velocity model and moment tensor. We first use our adaptive moment-tensor joint inversion method to estimate moment tensors of microseismic events. Our adaptive moment-tensor inversion method jointly inverts multiple microseismic events with similar waveforms within a cluster to reduce inversion uncertainty for microseismic data recorded using a single borehole geophone array. We use this inversion result as the initial model for our elastic-waveform inversion to minimize the cross-correlated-based data misfit between observed data and synthetic data. We verify our method using synthetic microseismic data and obtain improved results of both moment tensors and seismic velocity model. We apply our new inversion method to microseismic data acquired at a CO2-enhanced oil recovery field in Aneth, Utah, using a single borehole geophone array. The results demonstrate that our new inversion method significantly reduces the data misfit compared to the conventional ray-theory-based moment-tensor inversion.
Baena-Cañada, José M; Luque-Ribelles, Violeta; Quílez-Cutillas, Alicia; Rosado-Varela, Petra; Benítez-Rodríguez, Encarnación; Márquez-Calderón, Soledad; Rivera-Bautista, Juan Manuel
2018-01-01
Objectives To verify whether a citizens' jury study is feasible to the Andalusian population and to know if women, when better informed, are able to answer the research question of whether the Andalusian Public Health System must continue offering screening mammography to women aged 50–69. The reasons for the pertinent decision and recommendations to the political authorities will be stated. Design Qualitative research study with the methodology of citizens' jury. Setting Breast cancer screening programme in Andalusia (Spain). Participants Thirteen women aged 50–69 with secondary school or higher education accepted to participate as a jury. Two epidemiologists were the expert witnesses. The main researcher was the neutral moderator. Interventions Jury met on Monday, 15 February 2016. The moderator indicated to the jury that it had to assess the screening programme’s key benefits and main harm. On Tuesday, 16 February, the expert witnesses positioned for and against the programme. On Thursday, 18 February, the jury deliberated, reached final conclusions, submitted its vote and stated its recommendations to politicians. The deliberation session was transcribed and analysed with the support of ATLAS.ti.5.2 software. Primary and secondary outcome measures Feasibility in the Andalusian population, women’s vote and opinion, reasons for votes and recommendations to political authorities. Results Eleven participants voted yes and two voted no. There are three reasons to vote ‘yes’: health, the test nature, and individual freedom. Some women invoke the lack of efficacy and the cost to justify their negative vote, at least in universal terms. On completion, they made suggestions to be submitted to the pertinent authorities for the improvement of information, psychology services and research. Conclusions The deliberative strategy is feasible and causes a favourable positioning regarding screening mammography, although information changes the opinion of some women, who desire informed decision making and to keep or increase medicalisation in their lives. PMID:29730621
Federal Register 2010, 2011, 2012, 2013, 2014
2012-08-22
... DEPARTMENT OF TRANSPORTATION Surface Transportation Board [Docket No. FD 35660] GWI Voting Trust and R. Lawrence McCaffery, Voting Trustee-- Control Exemption--RailAmerica, Inc., et al. GWI Voting... company, and R. Lawrence McCaffery, a noncarrier individual (Voting Trustee), (collectively, applicants...
Code of Federal Regulations, 2010 CFR
2010-01-01
... 14 Aeronautics and Space 1 2010-01-01 2010-01-01 false Voting trusts. 47.8 Section 47.8... REGISTRATION General § 47.8 Voting trusts. (a) If a voting trust is used to qualify a domestic corporation as a... the fully executed voting trust agreement, which must identify each voting interest of the applicant...
Classification of voting algorithms for N-version software
NASA Astrophysics Data System (ADS)
Tsarev, R. Yu; Durmuş, M. S.; Üstoglu, I.; Morozov, V. A.
2018-05-01
A voting algorithm in N-version software is a crucial component that evaluates the execution of each of the N versions and determines the correct result. Obviously, the result of the voting algorithm determines the outcome of the N-version software in general. Thus, the choice of the voting algorithm is a vital issue. A lot of voting algorithms were already developed and they may be selected for implementation based on the specifics of the analysis of input data. However, the voting algorithms applied in N-version software are not classified. This article presents an overview of classic and recent voting algorithms used in N-version software and the authors' classification of the voting algorithms. Moreover, the steps of the voting algorithms are presented and the distinctive features of the voting algorithms in Nversion software are defined.
Loop optimization for tensor network renormalization
NASA Astrophysics Data System (ADS)
Yang, Shuo; Gu, Zheng-Cheng; Wen, Xiao-Gang
We introduce a tensor renormalization group scheme for coarse-graining a two-dimensional tensor network, which can be successfully applied to both classical and quantum systems on and off criticality. The key idea of our scheme is to deform a 2D tensor network into small loops and then optimize tensors on each loop. In this way we remove short-range entanglement at each iteration step, and significantly improve the accuracy and stability of the renormalization flow. We demonstrate our algorithm in the classical Ising model and a frustrated 2D quantum model. NSF Grant No. DMR-1005541 and NSFC 11274192, BMO Financial Group, John Templeton Foundation, Government of Canada through Industry Canada, Province of Ontario through the Ministry of Economic Development & Innovation.
Experiences of using an interactive audience response system in lectures
Uhari, Matti; Renko, Marjo; Soini, Hannu
2003-01-01
Background Lectures are good for presenting information and providing explanations, but because they lack active participation they have been neglected. Methods Students' experiences were evaluated after exposing them to the use of voting during lectures in their paediatrics course. Questions were delivered to the students taking paediatrics course. Thirty-six students out of the total of 40 (90%) attended the opening lecture, at which the first survey concerning previous experiences of lectures was performed. Thirty-nine students (98%) answered the second series of questions at the end of the paediatrics course. Results Most of the students felt that voting improved their activity during lectures, enhanced their learning, and that it was easier to make questions during lectures than earlier. Conclusions The students gained new, exciting insights much more often during the paediatrics course than before. We as teachers found that voting during lectures could easily overcome some of the obstacles of good lecturing. PMID:14678571
NASA Astrophysics Data System (ADS)
Luo, Yao; Wu, Mei-Ping; Wang, Ping; Duan, Shu-Ling; Liu, Hao-Jun; Wang, Jin-Long; An, Zhan-Feng
2015-09-01
The full magnetic gradient tensor (MGT) refers to the spatial change rate of the three field components of the geomagnetic field vector along three mutually orthogonal axes. The tensor is of use to geological mapping, resources exploration, magnetic navigation, and others. However, it is very difficult to measure the full magnetic tensor gradient using existing engineering technology. We present a method to use triaxial aeromagnetic gradient measurements for deriving the full MGT. The method uses the triaxial gradient data and makes full use of the variation of the magnetic anomaly modulus in three dimensions to obtain a self-consistent magnetic tensor gradient. Numerical simulations show that the full MGT data obtained with the proposed method are of high precision and satisfy the requirements of data processing. We selected triaxial aeromagnetic gradient data from the Hebei Province for calculating the full MGT. Data processing shows that using triaxial tensor gradient data allows to take advantage of the spatial rate of change of the total field in three dimensions and suppresses part of the independent noise in the aeromagnetic gradient. The calculated tensor components have improved resolution, and the transformed full tensor gradient satisfies the requirement of geological mapping and interpretation.
28 CFR 51.31 - Communications concerning voting suits.
Code of Federal Regulations, 2010 CFR
2010-07-01
... 28 Judicial Administration 2 2010-07-01 2010-07-01 false Communications concerning voting suits... Groups § 51.31 Communications concerning voting suits. Individuals and groups are urged to notify the Chief, Voting Section, Civil Rights Division, of litigation concerning voting in jurisdictions subject...
28 CFR 51.31 - Communications concerning voting suits.
Code of Federal Regulations, 2011 CFR
2011-07-01
... ADMINISTRATION OF SECTION 5 OF THE VOTING RIGHTS ACT OF 1965, AS AMENDED Communications From Individuals and... Chief, Voting Section, Civil Rights Division, of litigation concerning voting in jurisdictions subject... 28 Judicial Administration 2 2011-07-01 2011-07-01 false Communications concerning voting suits...
Using Elicited Choice Probabilities in Hypothetical Elections to Study Decisions to Vote
Delavande, Adeline; Manski, Charles F.
2015-01-01
This paper demonstrates the feasibility and usefulness of survey research asking respondents to report voting probabilities in hypothetical election scenarios. Posing scenarios enriches the data available for studies of voting decisions, as a researcher can pose many more and varied scenarios than the elections that persons actually face. Multiple scenarios were presented to over 4,000 participants in the American Life Panel (ALP). Each described a hypothetical presidential election, giving characteristics measuring candidate preference, closeness of the election, and the time cost of voting. Persons were asked the probability that they would vote in this election and were willing and able to respond. We analyzed the data through direct study of the variation of voting probabilities with election characteristics and through estimation of a random utility model of voting. Voting time and election closeness were notable determinants of decisions to vote, but not candidate preference. Most findings were corroborated through estimation of a model fit to ALP data on respondents' actual voting behavior in the 2012 election. PMID:25705068
An Improved Method for Seismic Event Depth and Moment Tensor Determination: CTBT Related Application
NASA Astrophysics Data System (ADS)
Stachnik, J.; Rozhkov, M.; Baker, B.
2016-12-01
According to the Protocol to CTBT, International Data Center is required to conduct expert technical analysis and special studies to improve event parameters and assist State Parties in identifying the source of specific event. Determination of seismic event source mechanism and its depth is a part of these tasks. It is typically done through a strategic linearized inversion of the waveforms for a complete or subset of source parameters, or similarly defined grid search through precomputed Greens Functions created for particular source models. We show preliminary results using the latter approach from an improved software design and applied on a moderately powered computer. In this development we tried to be compliant with different modes of CTBT monitoring regime and cover wide range of source-receiver distances (regional to teleseismic), resolve shallow source depths, provide full moment tensor solution based on body and surface waves recordings, be fast to satisfy both on-demand studies and automatic processing and properly incorporate observed waveforms and any uncertainties a priori as well as accurately estimate posteriori uncertainties. Implemented HDF5 based Green's Functions pre-packaging allows much greater flexibility in utilizing different software packages and methods for computation. Further additions will have the rapid use of Instaseis/AXISEM full waveform synthetics added to a pre-computed GF archive. Along with traditional post processing analysis of waveform misfits through several objective functions and variance reduction, we follow a probabilistic approach to assess the robustness of moment tensor solution. In a course of this project full moment tensor and depth estimates are determined for DPRK 2009, 2013 and 2016 events and shallow earthquakes using a new implementation of waveform fitting of teleseismic P waves. A full grid search over the entire moment tensor space is used to appropriately sample all possible solutions. A recent method by Tape & Tape (2012) to discretize the complete moment tensor space from a geometric perspective is used. Moment tensors for DPRK events show isotropic percentages greater than 50%. Depth estimates for the DPRK events range from 1.0-1.4 km. Probabilistic uncertainty estimates on the moment tensor parameters provide robustness to solution.
NASA Astrophysics Data System (ADS)
Parlangeau, Camille; Lacombe, Olivier; Daniel, Jean-Marc; Schueller, Sylvie
2015-04-01
Inversion of calcite twin data are known to be a powerful tool to reconstruct the past-state of stress in carbonate rocks of the crust, especially in fold-and-thrust belts and sedimentary basins. This is of key importance to constrain results of geomechanical modelling. Without proposing a new inversion scheme, this contribution reports some recent improvements of the most efficient stress inversion technique to date (Etchecopar, 1984) that allows to reconstruct the 5 parameters of the deviatoric paleostress tensors (principal stress orientations and differential stress magnitudes) from monophase and polyphase twin data sets. The improvements consist in the search of the possible tensors that account for the twin data (twinned and untwinned planes) and the aid to the user to define the best stress tensor solution, among others. We perform a systematic exploration of an hypersphere in 4 dimensions by varying different parameters, Euler's angles and the stress ratio. We first record all tensors with a minimum penalization function accounting for 20% of the twinned planes. We then define clusters of tensors following a dissimilarity criterion based on the stress distance between the 4 parameters of the reduced stress tensors and a degree of disjunction of the related sets of twinned planes. The percentage of twinned data to be explained by each tensor is then progressively increased and tested using the standard Etchecopar procedure until the best solution that explains the maximum number of twinned planes and the whole set of untwinned planes is reached. This new inversion procedure is tested on monophase and polyphase numerically-generated as well as natural calcite twin data in order to more accurately define the ability of the technique to separate more or less similar deviatoric stress tensors applied in sequence on the samples, to test the impact of strain hardening through the change of the critical resolved shear stress for twinning as well as to evaluate the possible bias due to measurement uncertainties or clustering of grain optical axes in the samples.
A Framework for Load Balancing of Tensor Contraction Expressions via Dynamic Task Partitioning
DOE Office of Scientific and Technical Information (OSTI.GOV)
Lai, Pai-Wei; Stock, Kevin; Rajbhandari, Samyam
In this paper, we introduce the Dynamic Load-balanced Tensor Contractions (DLTC), a domain-specific library for efficient task parallel execution of tensor contraction expressions, a class of computation encountered in quantum chemistry and physics. Our framework decomposes each contraction into smaller unit of tasks, represented by an abstraction referred to as iterators. We exploit an extra level of parallelism by having tasks across independent contractions executed concurrently through a dynamic load balancing run- time. We demonstrate the improved performance, scalability, and flexibility for the computation of tensor contraction expressions on parallel computers using examples from coupled cluster methods.
Doron, Adiel; Kurs, Rena; Stolovy, Tali; Secker-Einbinder, Aya; Raba, Alla
2014-01-01
Participation of the mentally-ill in elections promotes integration into the community. In many countries, individuals with compromised mental incompetence who have legal guardians are denied the right to vote. In Israel, mental health consumers are eligible to vote. We evaluated the capacity of psychiatric inpatients with and without legal guardians to understand the nature and effect of voting. Fifty-six inpatients with/without legal guardians were recruited to the study. Participants completed the Competency AssessmentTool for Voting (CAT-V), Brief Psychiatric Rating Scale and the Mini-Mental State Exam. Cluster analysis determined voting capacity using CAT-V as a continuous variable. Subjects who scored >1.6 on the CAT-V (59%) had high capacity to vote. Subjects without guardians revealed significantly higher capacity to vote. Voting capacity positively correlated with cognitive state and negatively correlated with severity of illness. Among patients with legal guardians those who scored >1.6 on the CAT-V maintained the capacity to vote. The right to vote is an important basic right for individuals coping with mental disorders.However, it is important to evaluate the capacity to understand the voting process among individuals with mental disorders who have legal guardians. Thus, the integrity of the elections would be preserved by eliminating the risk of undue influence or manipulation of individuals who lack the capacity to understand the nature and meaning of voting, while preserving the right to vote for those with the capacity to do so, whether or not they have guardians.
Full Moment Tensor Analysis Using First Motion Data at The Geysers Geothermal Field
NASA Astrophysics Data System (ADS)
Boyd, O.; Dreger, D. S.; Lai, V. H.; Gritto, R.
2012-12-01
Seismicity associated with geothermal energy production at The Geysers Geothermal Field in northern California has been increasing during the last forty years. We investigate source models of over fifty earthquakes with magnitudes ranging from Mw 3.5 up to Mw 4.5. We invert three-component, complete waveform data from broadband stations of the Berkeley Digital Seismic Network, the Northern California Seismic Network and the USA Array deployment (2005-2007) for the complete, six-element moment tensor. Some solutions are double-couple while others have substantial non-double-couple components. To assess the stability and significance of non-double-couple components, we use a suite of diagnostic tools including the F-test, Jackknife test, bootstrap and network sensitivity solution (NSS). The full moment tensor solutions of the studied events tend to plot in the upper half of the Hudson source type diagram where the fundamental source types include +CLVD, +LVD, tensile-crack, DC and explosion. Using the F-test to compare the goodness-of-fit values between the full and deviatoric moment tensor solutions, most of the full moment tensor solutions do not show a statistically significant improvement in fit over the deviatoric solutions. Because a small isotropic component may not significantly improve the fit, we include first motion polarity data to better constrain the full moment tensor solutions.
Binary-space-partitioned images for resolving image-based visibility.
Fu, Chi-Wing; Wong, Tien-Tsin; Tong, Wai-Shun; Tang, Chi-Keung; Hanson, Andrew J
2004-01-01
We propose a novel 2D representation for 3D visibility sorting, the Binary-Space-Partitioned Image (BSPI), to accelerate real-time image-based rendering. BSPI is an efficient 2D realization of a 3D BSP tree, which is commonly used in computer graphics for time-critical visibility sorting. Since the overall structure of a BSP tree is encoded in a BSPI, traversing a BSPI is comparable to traversing the corresponding BSP tree. BSPI performs visibility sorting efficiently and accurately in the 2D image space by warping the reference image triangle-by-triangle instead of pixel-by-pixel. Multiple BSPIs can be combined to solve "disocclusion," when an occluded portion of the scene becomes visible at a novel viewpoint. Our method is highly automatic, including a tensor voting preprocessing step that generates candidate image partition lines for BSPIs, filters the noisy input data by rejecting outliers, and interpolates missing information. Our system has been applied to a variety of real data, including stereo, motion, and range images.
Gradients estimation from random points with volumetric tensor in turbulence
NASA Astrophysics Data System (ADS)
Watanabe, Tomoaki; Nagata, Koji
2017-12-01
We present an estimation method of fully-resolved/coarse-grained gradients from randomly distributed points in turbulence. The method is based on a linear approximation of spatial gradients expressed with the volumetric tensor, which is a 3 × 3 matrix determined by a geometric distribution of the points. The coarse grained gradient can be considered as a low pass filtered gradient, whose cutoff is estimated with the eigenvalues of the volumetric tensor. The present method, the volumetric tensor approximation, is tested for velocity and passive scalar gradients in incompressible planar jet and mixing layer. Comparison with a finite difference approximation on a Cartesian grid shows that the volumetric tensor approximation computes the coarse grained gradients fairly well at a moderate computational cost under various conditions of spatial distributions of points. We also show that imposing the solenoidal condition improves the accuracy of the present method for solenoidal vectors, such as a velocity vector in incompressible flows, especially when the number of the points is not large. The volumetric tensor approximation with 4 points poorly estimates the gradient because of anisotropic distribution of the points. Increasing the number of points from 4 significantly improves the accuracy. Although the coarse grained gradient changes with the cutoff length, the volumetric tensor approximation yields the coarse grained gradient whose magnitude is close to the one obtained by the finite difference. We also show that the velocity gradient estimated with the present method well captures the turbulence characteristics such as local flow topology, amplification of enstrophy and strain, and energy transfer across scales.
Federal Register 2010, 2011, 2012, 2013, 2014
2013-07-17
... Voting Survey; Comment Request AGENCY: U.S. Election Assistance Commission (EAC). ACTION: Notice. SUMMARY... Administration and Voting Survey) to the Director of the Office of Management and Budget for approval. The 2014 Election Administration and Voting Survey (Survey) asks election officials questions concerning voting and...
Secure Biometric E-Voting Scheme
NASA Astrophysics Data System (ADS)
Ahmed, Taha Kh.; Aborizka, Mohamed
The implementation of the e-voting becomes more substantial with the rapid increase of e-government development. The recent growth in communications and cryptographic techniques facilitate the implementation of e-voting. Many countries introduced e-voting systems; unfortunately most of these systems are not fully functional. In this paper we will present an e-voting scheme that covers most of the e-voting requirements, smart card and biometric recognition technology were implemented to guarantee voter's privacy and authentication.
Bosquet, Antoine; El Massioui, Farid; Mahé, Isabelle
2015-01-01
To assess voting conditions in long-term care settings, we conducted a multicenter survey after the 2009 European elections in France. A questionnaire about voting procedures and European elections was proposed in 146 out of 884 randomized facilities. Sixty-four percent of facilities answered the questionnaire. Four percent of residents voted (national turnout: 40%), by proxy (58%) or at polling places (42%). Abstention related to procedural issues was reported in 32% of facilities. Sixty-seven percent of establishments had voting procedures, and 53% declared that they assessed residents' capacity to vote. Assistance was proposed to residents for voter registration, for proxy voting, and for voting at polling places, respectively, in 33%, 87%, and 80% of facilities. This survey suggests that residents may be disenfranchised and that more progress should be made to protect the voting rights of residents in long-term care facilities.
An Improved Evolutionary Programming with Voting and Elitist Dispersal Scheme
NASA Astrophysics Data System (ADS)
Maity, Sayan; Gunjan, Kumar; Das, Swagatam
Although initially conceived for evolving finite state machines, Evolutionary Programming (EP), in its present form, is largely used as a powerful real parameter optimizer. For function optimization, EP mainly relies on its mutation operators. Over past few years several mutation operators have been proposed to improve the performance of EP on a wide variety of numerical benchmarks. However, unlike real-coded GAs, there has been no fitness-induced bias in parent selection for mutation in EP. That means the i-th population member is selected deterministically for mutation and creation of the i-th offspring in each generation. In this article we present an improved EP variant called Evolutionary Programming with Voting and Elitist Dispersal (EPVE). The scheme encompasses a voting process which not only gives importance to best solutions but also consider those solutions which are converging fast. By introducing Elitist Dispersal Scheme we maintain the elitism by keeping the potential solutions intact and other solutions are perturbed accordingly, so that those come out of the local minima. By applying these two techniques we can be able to explore those regions which have not been explored so far that may contain optima. Comparison with the recent and best-known versions of EP over 25 benchmark functions from the CEC (Congress on Evolutionary Computation) 2005 test-suite for real parameter optimization reflects the superiority of the new scheme in terms of final accuracy, speed, and robustness.
Lin, Wei-Che; Chou, Kun-Hsien; Chen, Chao-Long; Chen, Hsiu-Ling; Lu, Cheng-Hsien; Li, Shau-Hsuan; Huang, Chu-Chung; Lin, Ching-Po; Cheng, Yu-Fan
2014-01-01
Cerebral edema is the common pathogenic mechanism for cognitive impairment in minimal hepatic encephalopathy. Whether complete reversibility of brain edema, cognitive deficits, and their associated imaging can be achieved after liver transplantation remains an open question. To characterize white matter integrity before and after liver transplantation in patients with minimal hepatic encephalopathy, multiple diffusivity indices acquired via diffusion tensor imaging was applied. Twenty-eight patients and thirty age- and sex-matched healthy volunteers were included. Multiple diffusivity indices were obtained from diffusion tensor images, including mean diffusivity, fractional anisotropy, axial diffusivity and radial diffusivity. The assessment was repeated 6-12 month after transplantation. Differences in white matter integrity between groups, as well as longitudinal changes, were evaluated using tract-based spatial statistical analysis. Correlation analyses were performed to identify first scan before transplantation and interval changes among the neuropsychiatric tests, clinical laboratory tests, and diffusion tensor imaging indices. After transplantation, decreased water diffusivity without fractional anisotropy change indicating reversible cerebral edema was found in the left anterior cingulate, claustrum, postcentral gyrus, and right corpus callosum. However, a progressive decrease in fractional anisotropy and an increase in radial diffusivity suggesting demyelination were noted in temporal lobe. Improved pre-transplantation albumin levels and interval changes were associated with better recoveries of diffusion tensor imaging indices. Improvements in interval diffusion tensor imaging indices in the right postcentral gyrus were correlated with visuospatial function score correction. In conclusion, longitudinal voxel-wise analysis of multiple diffusion tensor imaging indices demonstrated different white matter changes in minimal hepatic encephalopathy patients. Transplantation improved extracellular cerebral edema and the results of associated cognition tests. However, white matter demyelination may advance in temporal lobe.
Voting Intention and Choices: Are Voters Always Rational and Deliberative?
Lee, I-Ching; Chen, Eva E.; Tsai, Chia-Hung; Yen, Nai-Shing; Chen, Arbee L. P.; Lin, Wei-Chieh
2016-01-01
Human rationality–the ability to behave in order to maximize the achievement of their presumed goals (i.e., their optimal choices)–is the foundation for democracy. Research evidence has suggested that voters may not make decisions after exhaustively processing relevant information; instead, our decision-making capacity may be restricted by our own biases and the environment. In this paper, we investigate the extent to which humans in a democratic society can be rational when making decisions in a serious, complex situation–voting in a local political election. We believe examining human rationality in a political election is important, because a well-functioning democracy rests largely upon the rational choices of individual voters. Previous research has shown that explicit political attitudes predict voting intention and choices (i.e., actual votes) in democratic societies, indicating that people are able to reason comprehensively when making voting decisions. Other work, though, has demonstrated that the attitudes of which we may not be aware, such as our implicit (e.g., subconscious) preferences, can predict voting choices, which may question the well-functioning democracy. In this study, we systematically examined predictors on voting intention and choices in the 2014 mayoral election in Taipei, Taiwan. Results indicate that explicit political party preferences had the largest impact on voting intention and choices. Moreover, implicit political party preferences interacted with explicit political party preferences in accounting for voting intention, and in turn predicted voting choices. Ethnic identity and perceived voting intention of significant others were found to predict voting choices, but not voting intention. In sum, to the comfort of democracy, voters appeared to engage mainly explicit, controlled processes in making their decisions; but findings on ethnic identity and perceived voting intention of significant others may suggest otherwise. PMID:26886266
Voting Intention and Choices: Are Voters Always Rational and Deliberative?
Lee, I-Ching; Chen, Eva E; Tsai, Chia-Hung; Yen, Nai-Shing; Chen, Arbee L P; Lin, Wei-Chieh
2016-01-01
Human rationality--the ability to behave in order to maximize the achievement of their presumed goals (i.e., their optimal choices)--is the foundation for democracy. Research evidence has suggested that voters may not make decisions after exhaustively processing relevant information; instead, our decision-making capacity may be restricted by our own biases and the environment. In this paper, we investigate the extent to which humans in a democratic society can be rational when making decisions in a serious, complex situation-voting in a local political election. We believe examining human rationality in a political election is important, because a well-functioning democracy rests largely upon the rational choices of individual voters. Previous research has shown that explicit political attitudes predict voting intention and choices (i.e., actual votes) in democratic societies, indicating that people are able to reason comprehensively when making voting decisions. Other work, though, has demonstrated that the attitudes of which we may not be aware, such as our implicit (e.g., subconscious) preferences, can predict voting choices, which may question the well-functioning democracy. In this study, we systematically examined predictors on voting intention and choices in the 2014 mayoral election in Taipei, Taiwan. Results indicate that explicit political party preferences had the largest impact on voting intention and choices. Moreover, implicit political party preferences interacted with explicit political party preferences in accounting for voting intention, and in turn predicted voting choices. Ethnic identity and perceived voting intention of significant others were found to predict voting choices, but not voting intention. In sum, to the comfort of democracy, voters appeared to engage mainly explicit, controlled processes in making their decisions; but findings on ethnic identity and perceived voting intention of significant others may suggest otherwise.
29 CFR 452.114 - Write-in votes.
Code of Federal Regulations, 2010 CFR
2010-07-01
... 29 Labor 2 2010-07-01 2010-07-01 false Write-in votes. 452.114 Section 452.114 Labor Regulations... OF 1959 Election Procedures; Rights of Members § 452.114 Write-in votes. Where write-in votes are... an election complaint under section 402 and then only if the arrangements for write-in votes were so...
11 CFR 110.18 - Voting age population.
Code of Federal Regulations, 2011 CFR
2011-01-01
... 11 Federal Elections 1 2011-01-01 2011-01-01 false Voting age population. 110.18 Section 110.18... PROHIBITIONS § 110.18 Voting age population. There is annually published by the Department of Commerce in the Federal Register an estimate of the voting age population based on an estimate of the voting age...
11 CFR 110.18 - Voting age population.
Code of Federal Regulations, 2013 CFR
2013-01-01
... 11 Federal Elections 1 2013-01-01 2012-01-01 true Voting age population. 110.18 Section 110.18... PROHIBITIONS § 110.18 Voting age population. There is annually published by the Department of Commerce in the Federal Register an estimate of the voting age population based on an estimate of the voting age...
11 CFR 110.18 - Voting age population.
Code of Federal Regulations, 2014 CFR
2014-01-01
... 11 Federal Elections 1 2014-01-01 2014-01-01 false Voting age population. 110.18 Section 110.18... PROHIBITIONS § 110.18 Voting age population. There is annually published by the Department of Commerce in the Federal Register an estimate of the voting age population based on an estimate of the voting age...
11 CFR 110.18 - Voting age population.
Code of Federal Regulations, 2012 CFR
2012-01-01
... 11 Federal Elections 1 2012-01-01 2012-01-01 false Voting age population. 110.18 Section 110.18... PROHIBITIONS § 110.18 Voting age population. There is annually published by the Department of Commerce in the Federal Register an estimate of the voting age population based on an estimate of the voting age...
29 CFR 452.94 - Reasonable opportunity to vote.
Code of Federal Regulations, 2010 CFR
2010-07-01
... DISCLOSURE ACT OF 1959 Right To Vote § 452.94 Reasonable opportunity to vote. The statutory protection of the right to vote implies that there must be a reasonable opportunity to vote. Thus, there is an obligation... ways, depending on factors such as the distance between the members' work site or homes and the polling...
31 CFR 800.228 - Voting interest.
Code of Federal Regulations, 2012 CFR
2012-07-01
... 31 Money and Finance:Treasury 3 2012-07-01 2012-07-01 false Voting interest. 800.228 Section 800... TAKEOVERS BY FOREIGN PERSONS Definitions § 800.228 Voting interest. The term voting interest means any interest in an entity that entitles the owner or holder of that interest to vote for the election of...
31 CFR 800.228 - Voting interest.
Code of Federal Regulations, 2011 CFR
2011-07-01
... 31 Money and Finance:Treasury 3 2011-07-01 2011-07-01 false Voting interest. 800.228 Section 800... TAKEOVERS BY FOREIGN PERSONS Definitions § 800.228 Voting interest. The term voting interest means any interest in an entity that entitles the owner or holder of that interest to vote for the election of...
ERIC Educational Resources Information Center
Govender, K. K.
2011-01-01
The objective of this article is to develop a conceptual model aimed at improving the postgraduate research students' experience. Since postgraduate students "vote with their feet" an improved understanding of the postgraduate research service encounter may result in improving the quality of the encounter and so increasing throughput and…
Using Perturbation Theory to Reduce Noise in Diffusion Tensor Fields
Bansal, Ravi; Staib, Lawrence H.; Xu, Dongrong; Laine, Andrew F.; Liu, Jun; Peterson, Bradley S.
2009-01-01
We propose the use of Perturbation theory to reduce noise in Diffusion Tensor (DT) fields. Diffusion Tensor Imaging (DTI) encodes the diffusion of water molecules along different spatial directions in a positive-definite, 3 × 3 symmetric tensor. Eigenvectors and eigenvalues of DTs allow the in vivo visualization and quantitative analysis of white matter fiber bundles across the brain. The validity and reliability of these analyses are limited, however, by the low spatial resolution and low Signal-to-Noise Ratio (SNR) in DTI datasets. Our procedures can be applied to improve the validity and reliability of these quantitative analyses by reducing noise in the tensor fields. We model a tensor field as a three-dimensional Markov Random Field and then compute the likelihood and the prior terms of this model using Perturbation theory. The prior term constrains the tensor field to be smooth, whereas the likelihood term constrains the smoothed tensor field to be similar to the original field. Thus, the proposed method generates a smoothed field that is close in structure to the original tensor field. We evaluate the performance of our method both visually and quantitatively using synthetic and real-world datasets. We quantitatively assess the performance of our method by computing the SNR for eigenvalues and the coherence measures for eigenvectors of DTs across tensor fields. In addition, we quantitatively compare the performance of our procedures with the performance of one method that uses a Riemannian distance to compute the similarity between two tensors, and with another method that reduces noise in tensor fields by anisotropically filtering the diffusion weighted images that are used to estimate diffusion tensors. These experiments demonstrate that our method significantly increases the coherence of the eigenvectors and the SNR of the eigenvalues, while simultaneously preserving the fine structure and boundaries between homogeneous regions, in the smoothed tensor field. PMID:19540791
Pajevic, Sinisa; Aldroubi, Akram; Basser, Peter J
2002-01-01
The effective diffusion tensor of water, D, measured by diffusion tensor MRI (DT-MRI), is inherently a discrete, noisy, voxel-averaged sample of an underlying macroscopic effective diffusion tensor field, D(x). Within fibrous tissues this field is presumed to be continuous and smooth at a gross anatomical length scale. Here a new, general mathematical framework is proposed that uses measured DT-MRI data to produce a continuous approximation to D(x). One essential finding is that the continuous tensor field representation can be constructed by repeatedly performing one-dimensional B-spline transforms of the DT-MRI data. The fidelity and noise-immunity of this approximation are tested using a set of synthetically generated tensor fields to which background noise is added via Monte Carlo methods. Generally, these tensor field templates are reproduced faithfully except at boundaries where diffusion properties change discontinuously or where the tensor field is not microscopically homogeneous. Away from such regions, the tensor field approximation does not introduce bias in useful DT-MRI parameters, such as Trace(D(x)). It also facilitates the calculation of several new parameters, particularly differential quantities obtained from the tensor of spatial gradients of D(x). As an example, we show that they can identify tissue boundaries across which diffusion properties change rapidly using in vivo human brain data. One important application of this methodology is to improve the reliability and robustness of DT-MRI fiber tractography.
Bernath, Katrin; Roschewitz, Anna
2008-11-01
The extension of contingent valuation models with an attitude-behavior based framework has been proposed in order to improve the descriptive and predictive ability of the models. This study examines the potential of the theory of planned behavior to explain willingness to pay (WTP) in a contingent valuation survey of the recreational benefits of the Zurich city forests. Two aspects of WTP responses, protest votes and bid levels, were analyzed separately. In both steps, models with and without the psychological predictors proposed by the theory of planned behavior were compared. Whereas the inclusion of the psychological predictors significantly improved explanations of protest votes, their ability to improve the performance of the model explaining bid levels was limited. The results indicate that the interpretation of bid levels as behavioral intention may not be appropriate and that the potential of the theory of planned behavior to improve contingent valuation models depends on which aspect of WTP responses is examined.
NASA Astrophysics Data System (ADS)
Yahya, W. A.; Falaye, B. J.; Oluwadare, O. J.; Oyewumi, K. J.
2013-08-01
By using the Nikiforov-Uvarov method, we give the approximate analytical solutions of the Dirac equation with the shifted Deng-Fan potential including the Yukawa-like tensor interaction under the spin and pseudospin symmetry conditions. After using an improved approximation scheme, we solved the resulting schr\\"{o}dinger-like equation analytically. Numerical results of the energy eigenvalues are also obtained, as expected, the tensor interaction removes degeneracies between spin and pseudospin doublets.
Tensor modes in pure natural inflation
NASA Astrophysics Data System (ADS)
Nomura, Yasunori; Yamazaki, Masahito
2018-05-01
We study tensor modes in pure natural inflation [1], a recently-proposed inflationary model in which an axionic inflaton couples to pure Yang-Mills gauge fields. We find that the tensor-to-scalar ratio r is naturally bounded from below. This bound originates from the finiteness of the number of metastable branches of vacua in pure Yang-Mills theories. Details of the model can be probed by future cosmic microwave background experiments and improved lattice gauge theory calculations of the θ-angle dependence of the vacuum energy.
Xiao, Fan
2015-01-01
Objective This survey aims to scrutinize important medical innovations in Chinese mainland since Xinhai (Hsin-hai) revolution in 1911, which marked the end of Manchurian imperial rule and the beginning of China’s republican era. Methods An online cross-sectional survey was carried out during the period of Dec 29, 2014 to Feb 5, 2015, totaling 37 days. The survey was conducted on the platform provided by DXY (www.dxy.cn), which is the largest medical and paramedical related website in China. An email was sent to all DXY registered users to invite them to participate in a 5-minute survey. The participants were asked to nominate up to four important medical innovations in China mainland since Xinhai revolution. The participant could select ‘zero’ which means he/she felt there was no important medical innovations, or he/she did not know important medical innovations. It was noted that important medical innovations refer to (I) those with practical and almost immediate significance to improve healthcare; (II) should not only be introducing western technique to China, but those involve major improvement of existing western techniques count; (III) should not be those with important theoretical discovery but did not have almost immediate significance to improve healthcare. Results In total 1,513 DXY users participated in the voting. Totally 489 (32.3%), 441 (29.1%), 342 (22.6%), 150 (9.9%), 91 (6.0%) participants provided 0, 1, 2, 3, 4 nominations respectively. (I) Artemisine (Qinghaosu) for malaria treatment (Project 523 team, 1972); (II) arsenic Trioxide (As2O3) for acute promyelocytic leukemia (APL) treatment (ZHANG Ting-Dong and colleagues, 1970s); (III) limb re-plantation (CHEN Zhong-Wei and colleagues, 1963); (IV) all-trans retinoic acid (ATRA) for APL treatment (WANG Zhen-Yi and colleagues, 1988); and (V) Wu’s mask for plague prevention (WU Lien-The, 1910), were voted as the top five innovations in China mainland since Xinhai revolution, with 375, 96, 91, 53, and 8 votes respectively. Conclusions In this voting exercise, five achievements were voted as top innovations in China mainland since Xinhai revolution. However, only ATRA for APL treatment was accomplished after the ending of Great Proletarian Cultural Revolution in year 1976 in China. PMID:26029648
Wáng, Yì-Xiáng J; Xiao, Fan
2015-06-01
This survey aims to scrutinize important medical innovations in Chinese mainland since Xinhai (Hsin-hai) revolution in 1911, which marked the end of Manchurian imperial rule and the beginning of China's republican era. An online cross-sectional survey was carried out during the period of Dec 29, 2014 to Feb 5, 2015, totaling 37 days. The survey was conducted on the platform provided by DXY (www.dxy.cn), which is the largest medical and paramedical related website in China. An email was sent to all DXY registered users to invite them to participate in a 5-minute survey. The participants were asked to nominate up to four important medical innovations in China mainland since Xinhai revolution. The participant could select 'zero' which means he/she felt there was no important medical innovations, or he/she did not know important medical innovations. It was noted that important medical innovations refer to (I) those with practical and almost immediate significance to improve healthcare; (II) should not only be introducing western technique to China, but those involve major improvement of existing western techniques count; (III) should not be those with important theoretical discovery but did not have almost immediate significance to improve healthcare. In total 1,513 DXY users participated in the voting. Totally 489 (32.3%), 441 (29.1%), 342 (22.6%), 150 (9.9%), 91 (6.0%) participants provided 0, 1, 2, 3, 4 nominations respectively. (I) Artemisine (Qinghaosu) for malaria treatment (Project 523 team, 1972); (II) arsenic Trioxide (As2O3) for acute promyelocytic leukemia (APL) treatment (ZHANG Ting-Dong and colleagues, 1970s); (III) limb re-plantation (CHEN Zhong-Wei and colleagues, 1963); (IV) all-trans retinoic acid (ATRA) for APL treatment (WANG Zhen-Yi and colleagues, 1988); and (V) Wu's mask for plague prevention (WU Lien-The, 1910), were voted as the top five innovations in China mainland since Xinhai revolution, with 375, 96, 91, 53, and 8 votes respectively. In this voting exercise, five achievements were voted as top innovations in China mainland since Xinhai revolution. However, only ATRA for APL treatment was accomplished after the ending of Great Proletarian Cultural Revolution in year 1976 in China.
Baena-Cañada, José M; Luque-Ribelles, Violeta; Quílez-Cutillas, Alicia; Rosado-Varela, Petra; Benítez-Rodríguez, Encarnación; Márquez-Calderón, Soledad; Rivera-Bautista, Juan Manuel
2018-05-05
To verify whether a citizens' jury study is feasible to the Andalusian population and to know if women, when better informed, are able to answer the research question of whether the Andalusian Public Health System must continue offering screening mammography to women aged 50-69. The reasons for the pertinent decision and recommendations to the political authorities will be stated. Qualitative research study with the methodology of citizens' jury. Breast cancer screening programme in Andalusia (Spain). Thirteen women aged 50-69 with secondary school or higher education accepted to participate as a jury. Two epidemiologists were the expert witnesses. The main researcher was the neutral moderator. Jury met on Monday, 15 February 2016. The moderator indicated to the jury that it had to assess the screening programme's key benefits and main harm. On Tuesday, 16 February, the expert witnesses positioned for and against the programme. On Thursday, 18 February, the jury deliberated, reached final conclusions, submitted its vote and stated its recommendations to politicians. The deliberation session was transcribed and analysed with the support of ATLAS.ti.5.2 software. Feasibility in the Andalusian population, women's vote and opinion, reasons for votes and recommendations to political authorities. Eleven participants voted yes and two voted no. There are three reasons to vote 'yes': health, the test nature, and individual freedom. Some women invoke the lack of efficacy and the cost to justify their negative vote, at least in universal terms. On completion, they made suggestions to be submitted to the pertinent authorities for the improvement of information, psychology services and research. The deliberative strategy is feasible and causes a favourable positioning regarding screening mammography, although information changes the opinion of some women, who desire informed decision making and to keep or increase medicalisation in their lives. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.
Your Voice, Your Vote: A Lesson with Website Resources
ERIC Educational Resources Information Center
Mathys, Lori; Bennett, Linda
2006-01-01
This article describes several websites that can be used to encourage students to vote. These include "The Democracy Project: Inside the Voting Booth" sponsored by PBS. This site addresses three elementary topics: how one vote has made a difference in U.S. history, how the right to vote has gradually been expanded to include minorities (African…
29 CFR 417.25 - Certification of results of vote.
Code of Federal Regulations, 2011 CFR
2011-07-01
... 29 Labor 2 2011-07-01 2011-07-01 false Certification of results of vote. 417.25 Section 417.25... results of vote. Upon receipt of the report of the Assistant Secretary's Representative on the hearing and vote on removal, the Assistant Secretary shall certify the results of the vote to the court as required...
29 CFR 417.25 - Certification of results of vote.
Code of Federal Regulations, 2013 CFR
2013-07-01
... 29 Labor 2 2013-07-01 2013-07-01 false Certification of results of vote. 417.25 Section 417.25... results of vote. Upon receipt of the report of the Director's Representative on the hearing and vote on removal, the Director shall certify the results of the vote to the court as required by section 402(c) of...
29 CFR 417.25 - Certification of results of vote.
Code of Federal Regulations, 2014 CFR
2014-07-01
... 29 Labor 2 2014-07-01 2014-07-01 false Certification of results of vote. 417.25 Section 417.25... results of vote. Upon receipt of the report of the Director's Representative on the hearing and vote on removal, the Director shall certify the results of the vote to the court as required by section 402(c) of...
29 CFR 417.25 - Certification of results of vote.
Code of Federal Regulations, 2010 CFR
2010-07-01
... 29 Labor 2 2010-07-01 2010-07-01 false Certification of results of vote. 417.25 Section 417.25... results of vote. Upon receipt of the report of the Assistant Secretary's Representative on the hearing and vote on removal, the Assistant Secretary shall certify the results of the vote to the court as required...
29 CFR 417.25 - Certification of results of vote.
Code of Federal Regulations, 2012 CFR
2012-07-01
... 29 Labor 2 2012-07-01 2012-07-01 false Certification of results of vote. 417.25 Section 417.25... results of vote. Upon receipt of the report of the Assistant Secretary's Representative on the hearing and vote on removal, the Assistant Secretary shall certify the results of the vote to the court as required...
Canada Votes: How We Elect Our Government. Second Revised Edition.
ERIC Educational Resources Information Center
Granfield, Linda
This information book provides a student text on voting procedures in Canada. The short sections provide easy reading on the federal electoral process in Canada. Students read about who can vote, how and when women and minorities won voting rights, the different parties, the voting process --both present and past, and election day happenings.…
12 CFR 303.83 - Transactions not requiring prior notice.
Code of Federal Regulations, 2010 CFR
2010-01-01
... increase in ownership of voting shares resulting from a redemption of voting shares by the issuing bank or... acquisiition of additional voting shares of an insured state nonmember bank or a parent company by a person who: (i) Held the power to vote 25 percent or more of any class of voting shares of the institution...
29 CFR 452.91 - Voting by employers, supervisors.
Code of Federal Regulations, 2010 CFR
2010-07-01
... AND DISCLOSURE ACT OF 1959 Right To Vote § 452.91 Voting by employers, supervisors. Voting in union... 29 Labor 2 2010-07-01 2010-07-01 false Voting by employers, supervisors. 452.91 Section 452.91... management is not precluded by title IV of the Act even if they are not required to maintain union membership...
29 CFR 452.91 - Voting by employers, supervisors.
Code of Federal Regulations, 2011 CFR
2011-07-01
... AND DISCLOSURE ACT OF 1959 Right To Vote § 452.91 Voting by employers, supervisors. Voting in union... 29 Labor 2 2011-07-01 2011-07-01 false Voting by employers, supervisors. 452.91 Section 452.91... management is not precluded by title IV of the Act even if they are not required to maintain union membership...
28 CFR 55.5 - Coverage under section 4(f)(4).
Code of Federal Regulations, 2010 CFR
2010-07-01
... THE VOTING RIGHTS ACT REGARDING LANGUAGE MINORITY GROUPS Nature of Coverage § 55.5 Coverage under... which (1) Over five percent of the voting-age citizens were, on November 1, 1972, members of a single... 1, 1972, and (3) Fewer than 50 percent of the voting-age citizens were registered to vote or voted...
28 CFR 55.5 - Coverage under section 4(f)(4).
Code of Federal Regulations, 2011 CFR
2011-07-01
... THE VOTING RIGHTS ACT REGARDING LANGUAGE MINORITY GROUPS Nature of Coverage § 55.5 Coverage under... which (1) Over five percent of the voting-age citizens were, on November 1, 1972, members of a single... 1, 1972, and (3) Fewer than 50 percent of the voting-age citizens were registered to vote or voted...
1979-06-01
citizens who live overseas. The questions concerned absentee voting experiences in the 1978 general election, interest in the election, sources of...cast ballots in the 1978 election. The most frequently cited reason for not voting was lack of information on absentee voting procedures. (Author)
Reynolds averaged turbulence modelling using deep neural networks with embedded invariance
Ling, Julia; Kurzawski, Andrew; Templeton, Jeremy
2016-10-18
There exists significant demand for improved Reynolds-averaged Navier–Stokes (RANS) turbulence models that are informed by and can represent a richer set of turbulence physics. This paper presents a method of using deep neural networks to learn a model for the Reynolds stress anisotropy tensor from high-fidelity simulation data. A novel neural network architecture is proposed which uses a multiplicative layer with an invariant tensor basis to embed Galilean invariance into the predicted anisotropy tensor. It is demonstrated that this neural network architecture provides improved prediction accuracy compared with a generic neural network architecture that does not embed this invariance property.more » Furthermore, the Reynolds stress anisotropy predictions of this invariant neural network are propagated through to the velocity field for two test cases. For both test cases, significant improvement versus baseline RANS linear eddy viscosity and nonlinear eddy viscosity models is demonstrated.« less
Reynolds averaged turbulence modelling using deep neural networks with embedded invariance
DOE Office of Scientific and Technical Information (OSTI.GOV)
Ling, Julia; Kurzawski, Andrew; Templeton, Jeremy
There exists significant demand for improved Reynolds-averaged Navier–Stokes (RANS) turbulence models that are informed by and can represent a richer set of turbulence physics. This paper presents a method of using deep neural networks to learn a model for the Reynolds stress anisotropy tensor from high-fidelity simulation data. A novel neural network architecture is proposed which uses a multiplicative layer with an invariant tensor basis to embed Galilean invariance into the predicted anisotropy tensor. It is demonstrated that this neural network architecture provides improved prediction accuracy compared with a generic neural network architecture that does not embed this invariance property.more » Furthermore, the Reynolds stress anisotropy predictions of this invariant neural network are propagated through to the velocity field for two test cases. For both test cases, significant improvement versus baseline RANS linear eddy viscosity and nonlinear eddy viscosity models is demonstrated.« less
Armstrong, David; Barkun, Alan; Bridges, Ron; Carter, Rose; de Gara, Chris; Dubé, Catherine; Enns, Robert; Hollingworth, Roger; MacIntosh, Donald; Borgaonkar, Mark; Forget, Sylviane; Leontiadis, Grigorios; Meddings, Jonathan; Cotton, Peter; Kuipers, Ernst J; Valori, Roland
2012-01-01
BACKGROUND: Increasing use of gastrointestinal endoscopy, particularly for colorectal cancer screening, and increasing emphasis on health care quality, highlight the need for clearly defined, evidence-based processes to support quality improvement in endoscopy. OBJECTIVE: To identify processes and indicators of quality and safety relevant to high-quality endoscopy service delivery. METHODS: A multidisciplinary group of 35 voting participants developed recommendation statements and performance indicators. Systematic literature searches generated 50 initial statements that were revised iteratively following a modified Delphi approach using a web-based evaluation and voting tool. Statement development and evidence evaluation followed the AGREE (Appraisal of Guidelines, REsearch and Evaluation) and GRADE (Grading of Recommendations, Assessment, Development and Evaluation) guidelines. At the consensus conference, participants voted anonymously on all statements using a 6-point scale. Subsequent web-based voting evaluated recommendations for specific, individual quality indicators, safety indicators and mandatory endoscopy reporting fields. Consensus was defined a priori as agreement by 80% of participants. RESULTS: Consensus was reached on 23 recommendation statements addressing the following: ethics (statement 1: agreement 100%), facility standards and policies (statements 2 to 9: 90% to 100%), quality assurance (statements 10 to 13: 94% to 100%), training, education, competency and privileges (statements 14 to 19: 97% to 100%), endoscopy reporting standards (statements 20 and 21: 97% to 100%) and patient perceptions (statements 22 and 23: 100%). Additionally, 18 quality indicators (agreement 83% to 100%), 20 safety indicators (agreement 77% to 100%) and 23 recommended endoscopy-reporting elements (agreement 91% to 100%) were identified. DISCUSSION: The consensus process identified a clear need for high-quality clinical and outcomes research to support quality improvement in the delivery of endoscopy services. CONCLUSIONS: The guidelines support quality improvement in endoscopy by providing explicit recommendations on systematic monitoring, assessment and modification of endoscopy service delivery to yield benefits for all patients affected by the practice of gastrointestinal endoscopy. PMID:22308578
Moment Tensor Analysis of Shallow Sources
NASA Astrophysics Data System (ADS)
Chiang, A.; Dreger, D. S.; Ford, S. R.; Walter, W. R.; Yoo, S. H.
2015-12-01
A potential issue for moment tensor inversion of shallow seismic sources is that some moment tensor components have vanishing amplitudes at the free surface, which can result in bias in the moment tensor solution. The effects of the free-surface on the stability of the moment tensor method becomes important as we continue to investigate and improve the capabilities of regional full moment tensor inversion for source-type identification and discrimination. It is important to understand these free surface effects on discriminating shallow explosive sources for nuclear monitoring purposes. It may also be important in natural systems that have shallow seismicity such as volcanoes and geothermal systems. In this study, we apply the moment tensor based discrimination method to the HUMMING ALBATROSS quarry blasts. These shallow chemical explosions at approximately 10 m depth and recorded up to several kilometers distance represent rather severe source-station geometry in terms of vanishing traction issues. We show that the method is capable of recovering a predominantly explosive source mechanism, and the combined waveform and first motion method enables the unique discrimination of these events. Recovering the correct yield using seismic moment estimates from moment tensor inversion remains challenging but we can begin to put error bounds on our moment estimates using the NSS technique.
NASA Astrophysics Data System (ADS)
Nakatani, Naoki; Chan, Garnet Kin-Lic
2013-04-01
We investigate tree tensor network states for quantum chemistry. Tree tensor network states represent one of the simplest generalizations of matrix product states and the density matrix renormalization group. While matrix product states encode a one-dimensional entanglement structure, tree tensor network states encode a tree entanglement structure, allowing for a more flexible description of general molecules. We describe an optimal tree tensor network state algorithm for quantum chemistry. We introduce the concept of half-renormalization which greatly improves the efficiency of the calculations. Using our efficient formulation we demonstrate the strengths and weaknesses of tree tensor network states versus matrix product states. We carry out benchmark calculations both on tree systems (hydrogen trees and π-conjugated dendrimers) as well as non-tree molecules (hydrogen chains, nitrogen dimer, and chromium dimer). In general, tree tensor network states require much fewer renormalized states to achieve the same accuracy as matrix product states. In non-tree molecules, whether this translates into a computational savings is system dependent, due to the higher prefactor and computational scaling associated with tree algorithms. In tree like molecules, tree network states are easily superior to matrix product states. As an illustration, our largest dendrimer calculation with tree tensor network states correlates 110 electrons in 110 active orbitals.
Voting at 16: Turnout and the quality of vote choice.
Wagner, Markus; Johann, David; Kritzinger, Sylvia
2012-06-01
Critics of giving citizens under 18 the right to vote argue that such teenagers lack the ability and motivation to participate effectively in elections. If this argument is true, lowering the voting age would have negative consequences for the quality of democracy. We test the argument using survey data from Austria, the only European country with a voting age of 16 in nation-wide elections. While the turnout levels of young people under 18 are relatively low, their failure to vote cannot be explained by a lower ability or motivation to participate. In addition, the quality of these citizens' choices is similar to that of older voters, so they do cast votes in ways that enable their interests to be represented equally well. These results are encouraging for supporters of a lower voting age.
Achieving Learning Objectives through E-Voting Case Studies
DOE Office of Scientific and Technical Information (OSTI.GOV)
Bishop, Matt; Frincke, Deb
2007-01-01
The recent explosion in the use of electronic voting machines provides a wonderful opportunity to teach students about computer security. Because voting is the cornerstone of any democracy or republic, the need for secure voting systems is obvious. Further, students are familiar with how to vote. But the complexity of mapping a traditional process of voting using secret ballots to an electronic environment shows the difficulties of implementing secure processes and systems. In this article, we show a high level mapping from selected security and privacy education outcomes into a target ‘case study’ of developing electronic voting machines intended formore » traditional secret ballot elections. Our intent is to motivate both a set of lessons specifically involving e-voting, as well as illustrating the usefulness of having a mapping from outcomes to simplified case studies.« less
[Voting by cognitively impaired persons: legal and ethical issues].
Bosquet, Antoine; Medjkane, Amar; Vinceneux, Philippe; Mahé, Isabelle
2010-03-01
In democratic countries, cognitively impaired persons are a substantial and growing group of citizens. Most of them are citizens with dementia. In dementia, cognitive impairment induces a loss of some capacities, resulting in vulnerability and increased need for assistance. Voting by cognitively impaired persons raises any questions about the integrity of the electoral process, the risk of fraud and the respect of their citizenship. In France, the law is not definite about the voting of cognitively impaired persons. An objective assessment for voting capacity may be useful both for professionals in charge of voting organisation and for guardianship judge in order to help him in his decision to remove or keep the voting right of persons placed under guardianship. Assessing the reality of voting by cognitively impaired citizens is necessary to advance respect for their right to vote.
Quantum anonymous voting with unweighted continuous-variable graph states
NASA Astrophysics Data System (ADS)
Guo, Ying; Feng, Yanyan; Zeng, Guihua
2016-08-01
Motivated by the revealing topological structures of continuous-variable graph state (CVGS), we investigate the design of quantum voting scheme, which has serious advantages over the conventional ones in terms of efficiency and graphicness. Three phases are included, i.e., the preparing phase, the voting phase and the counting phase, together with three parties, i.e., the voters, the tallyman and the ballot agency. Two major voting operations are performed on the yielded CVGS in the voting process, namely the local rotation transformation and the displacement operation. The voting information is carried by the CVGS established before hand, whose persistent entanglement is deployed to keep the privacy of votes and the anonymity of legal voters. For practical applications, two CVGS-based quantum ballots, i.e., comparative ballot and anonymous survey, are specially designed, followed by the extended ballot schemes for the binary-valued and multi-valued ballots under some constraints for the voting design. Security is ensured by entanglement of the CVGS, the voting operations and the laws of quantum mechanics. The proposed schemes can be implemented using the standard off-the-shelf components when compared to discrete-variable quantum voting schemes attributing to the characteristics of the CV-based quantum cryptography.
Code of Federal Regulations, 2010 CFR
2010-07-01
... SCIENCES § 242b.5 Voting. (a) The concurrence of a majority of the Regents present at a meeting shall be... notation voting, by voting on material circulated to Regents individually or serially, or by polling of...
Code of Federal Regulations, 2011 CFR
2011-07-01
... SCIENCES § 242b.5 Voting. (a) The concurrence of a majority of the Regents present at a meeting shall be... notation voting, by voting on material circulated to Regents individually or serially, or by polling of...
Code of Federal Regulations, 2014 CFR
2014-07-01
... SCIENCES § 242b.5 Voting. (a) The concurrence of a majority of the Regents present at a meeting shall be... notation voting, by voting on material circulated to Regents individually or serially, or by polling of...
Code of Federal Regulations, 2012 CFR
2012-07-01
... SCIENCES § 242b.5 Voting. (a) The concurrence of a majority of the Regents present at a meeting shall be... notation voting, by voting on material circulated to Regents individually or serially, or by polling of...
Code of Federal Regulations, 2013 CFR
2013-07-01
... SCIENCES § 242b.5 Voting. (a) The concurrence of a majority of the Regents present at a meeting shall be... notation voting, by voting on material circulated to Regents individually or serially, or by polling of...
Grant, Peter R; Bennett, Mark; Abrams, Dominic
2017-09-01
Five hundred and seventy-three Scottish high school students were surveyed in the 2 months following the 2014 referendum on Scotland's independence. We used the Social Identity, Relative Deprivation, collective Efficacy (SIRDE) model of social change to examine the social psychological factors that should have influenced the voting choices of these teenagers. Structural equation modelling indicated that the SIRDE model fit the data and largely supported four sets of hypotheses derived from the model. Specifically, (1) those with a stronger Scottish identity, (2) those who felt frustrated and angry that Scottish people are discriminated against in British society, and (3) those who believed that Scottish people are not able to improve their relatively poor social conditions within the United Kingdom (a lack of collective efficacy) were more likely to hold separatist beliefs. Further, the relationships between identity, relative deprivation, and collective efficacy, on the one hand, and voting for Scotland's independence, on the other, were fully mediated by separatist social change beliefs. Consistent with the specificity of the model, neither political engagement nor personal relative deprivation were associated with voting choice, whereas the latter was associated with lower life satisfaction. The implications and limitations of these findings are discussed. © 2017 The British Psychological Society.
Stueber, Dirk; Grant, David M
2002-09-04
The (13)C and (15)N chemical shift tensor principal values for adenosine, guanosine dihydrate, 2'-deoxythymidine, and cytidine are measured on natural abundance samples. Additionally, the (13)C and (15)N chemical shielding tensor principal values in these four nucleosides are calculated utilizing various theoretical approaches. Embedded ion method (EIM) calculations improve significantly the precision with which the experimental principal values are reproduced over calculations on the corresponding isolated molecules with proton-optimized geometries. The (13)C and (15)N chemical shift tensor orientations are reliably assigned in the molecular frames of the nucleosides based upon chemical shielding tensor calculations employing the EIM. The differences between principal values obtained in EIM calculations and in calculations on isolated molecules with proton positions optimized inside a point charge array are used to estimate the contributions to chemical shielding arising from intermolecular interactions. Moreover, the (13)C and (15)N chemical shift tensor orientations and principal values correlate with the molecular structure and the crystallographic environment for the nucleosides and agree with data obtained previously for related compounds. The effects of variations in certain EIM parameters on the accuracy of the shielding tensor calculations are investigated.
Priestley, Maria; Mesoudi, Alex
2015-01-01
Online votes or ratings can assist internet users in evaluating the credibility and appeal of the information which they encounter. For example, aggregator websites such as Reddit allow users to up-vote submitted content to make it more prominent, and down-vote content to make it less prominent. Here we argue that decisions over what to up- or down-vote may be guided by evolved features of human cognition. We predict that internet users should be more likely to up-vote content that others have also up-voted (social influence), content that has been submitted by particularly liked or respected users (model-based bias), content that constitutes evolutionarily salient or relevant information (content bias), and content that follows group norms and, in particular, prosocial norms. 489 respondents from the online social voting community Reddit rated the extent to which they felt different traits influenced their voting. Statistical analyses confirmed that norm-following and prosociality, as well as various content biases such as emotional content and originality, were rated as important motivators of voting. Social influence had a smaller effect than expected, while attitudes towards the submitter had little effect. This exploratory empirical investigation suggests that online voting communities can provide an important test-bed for evolutionary theories of human social information use, and that evolved features of human cognition may guide online behaviour just as it guides behaviour in the offline world.
Assessment of DoD Voting Assistance Programs for Calendar Year 2015
2016-03-31
Uniformed and Overseas Citizens Absentee Voting Act The Uniformed and Overseas Citizens Absentee Voting Act (UOCAVA) (Title 52, United States Code...Chapter 203) provides the legal basis for absentee voting requirements for Federal offices. It requires that each state permit absent Uniformed...Services voters and overseas voters to use absentee registration procedures to vote by absentee ballot in general, special, primary, and runoff elections
Improvement of Accuracy for Background Noise Estimation Method Based on TPE-AE
NASA Astrophysics Data System (ADS)
Itai, Akitoshi; Yasukawa, Hiroshi
This paper proposes a method of a background noise estimation based on the tensor product expansion with a median and a Monte carlo simulation. We have shown that a tensor product expansion with absolute error method is effective to estimate a background noise, however, a background noise might not be estimated by using conventional method properly. In this paper, it is shown that the estimate accuracy can be improved by using proposed methods.
Marijuana policy opinions in Washington state since legalization: Would voters vote the same way?
Subbaraman, Meenakshi Sabina; Kerr, William C
2016-12-01
In 2012, voters in Washington state approved Initiative 502 (I-502) which legalized recreational marijuana use at the state level. This study examines the relationship between demographics, marijuana and alcohol use, and voting outcomes, as well as how these variables relate to (i) whether voters would still vote the same way (a reflection of satisfaction with the new policy) and (ii) the likelihood of using marijuana purchased from legal retail stores. The sample consists of 2,007 adult Washington state residents recruited through Random Digit Dial between January and October 2014. Bivariate tests and multivariable regressions were used for analyses. Less than five percent of those who voted for marijuana legalization would change their votes, whereas 14% of those who voted against legalization would change their votes. In multivariable models controlling for demographics, substance use, and marijuana-related opinions, those who voted for legalization had half the odds of changing their votes than those who voted against it. Among past-year non-marijuana users, almost 10% were somewhat/very likely to use marijuana if they could buy it from a legal store. Past marijuana use, the belief that adults should be allowed to grow marijuana for personal use, and the belief that marijuana is not very risky for health were all related to increased likelihood of using marijuana purchased from legal stores. Since November 2012, support for marijuana legalization in Washington state has increased; accounting for the proportion of voters who would change their votes suggests that I-502 would pass today with even more votes in favor.
People's Empowerment and Adult Literacy Programs.
ERIC Educational Resources Information Center
Kumari, P. Vasantha
1999-01-01
Analysis of data from 1,600 adult participants in Total Literacy Campaigns in India shows how adult acquisition of literacy skills improves their health habits, increases their participation in business startups and voting, and gives them higher aspirations for their children. Children have better enrollment and health status. Women improve their…
Group Augmentation in Realistic Visual-Search Decisions via a Hybrid Brain-Computer Interface.
Valeriani, Davide; Cinel, Caterina; Poli, Riccardo
2017-08-10
Groups have increased sensing and cognition capabilities that typically allow them to make better decisions. However, factors such as communication biases and time constraints can lead to less-than-optimal group decisions. In this study, we use a hybrid Brain-Computer Interface (hBCI) to improve the performance of groups undertaking a realistic visual-search task. Our hBCI extracts neural information from EEG signals and combines it with response times to build an estimate of the decision confidence. This is used to weigh individual responses, resulting in improved group decisions. We compare the performance of hBCI-assisted groups with the performance of non-BCI groups using standard majority voting, and non-BCI groups using weighted voting based on reported decision confidence. We also investigate the impact on group performance of a computer-mediated form of communication between members. Results across three experiments suggest that the hBCI provides significant advantages over non-BCI decision methods in all cases. We also found that our form of communication increases individual error rates by almost 50% compared to non-communicating observers, which also results in worse group performance. Communication also makes reported confidence uncorrelated with the decision correctness, thereby nullifying its value in weighing votes. In summary, best decisions are achieved by hBCI-assisted, non-communicating groups.
The impact of voting on tax payments
Wahl, Ingrid; Muehlbacher, Stephan; Kirchler, Erich
2010-01-01
This study examines whether participating in governmental decisions influences taxpayers’ cooperation. The results of experiment 1 show that participants tend to contribute more when they can vote on different rules for a public good game. Experiment 2 reveals that tax payments are lowest in a tax simulation when participants benefit from tax payments and can not vote. However, when the participants did not benefit from tax payments, voting had no impact and cooperation was about the same as when participants benefited and could vote. Furthermore, voting increases procedural fairness and trust mediates the effect of procedural fairness on tax payments. PMID:21654938
Superconducting tensor gravity gradiometer for satellite geodesy and inertial navigation
NASA Technical Reports Server (NTRS)
Paik, H. J.
1981-01-01
A sensitive gravity gradiometer can provide much needed gravity data of the earth and improve the accuracy of inertial navigation. Superconductivity and other properties of materials at low temperatures can be used to obtain a sensitive, low-drift gravity gradiometer; by differencing the outputs of accelerometer pairs using superconducting circuits, it is possible to construct a tensor gravity gradiometer which measures all the in-line and cross components of the tensor simultaneously. Additional superconducting circuits can be provided to determine the linear and angular acceleration vectors. A tensor gravity gradiometer with these features is being developed for satellite geodesy. The device constitutes a complete package of inertial navigation instruments with angular and linear acceleration readouts as well as gravity signals.
Satellite Fault Diagnosis Using Support Vector Machines Based on a Hybrid Voting Mechanism
Yang, Shuqiang; Zhu, Xiaoqian; Jin, Songchang; Wang, Xiang
2014-01-01
The satellite fault diagnosis has an important role in enhancing the safety, reliability, and availability of the satellite system. However, the problem of enormous parameters and multiple faults makes a challenge to the satellite fault diagnosis. The interactions between parameters and misclassifications from multiple faults will increase the false alarm rate and the false negative rate. On the other hand, for each satellite fault, there is not enough fault data for training. To most of the classification algorithms, it will degrade the performance of model. In this paper, we proposed an improving SVM based on a hybrid voting mechanism (HVM-SVM) to deal with the problem of enormous parameters, multiple faults, and small samples. Many experimental results show that the accuracy of fault diagnosis using HVM-SVM is improved. PMID:25215324
Rapid determination of global moment-tensor solutions
Sipkin, S.A.
1994-01-01
In an effort to improve data services, the National Earthquake Information Center has begun a program, in cooperation with the Incorporated Research Institutions for Seismology Data Management Center (IRIS DMC), to produce rapid estimates of the seismic moment tensor for most earthquakes with a bodywave magnitude of 5.8 or greater. An estimate of the moment tensor can usually be produced within 20 minutes of the arrival of the broadband P-waveform data from the IRIS DMC. The solutions do not vary significantly from the final solutions determined using the entire network. -from Author
Anisotropic mesoscale eddy transport in ocean general circulation models
NASA Astrophysics Data System (ADS)
Reckinger, Scott; Fox-Kemper, Baylor; Bachman, Scott; Bryan, Frank; Dennis, John; Danabasoglu, Gokhan
2014-11-01
In modern climate models, the effects of oceanic mesoscale eddies are introduced by relating subgrid eddy fluxes to the resolved gradients of buoyancy or other tracers, where the proportionality is, in general, governed by an eddy transport tensor. The symmetric part of the tensor, which represents the diffusive effects of mesoscale eddies, is universally treated isotropically. However, the diffusive processes that the parameterization approximates, such as shear dispersion and potential vorticity barriers, typically have strongly anisotropic characteristics. Generalizing the eddy diffusivity tensor for anisotropy extends the number of parameters from one to three: major diffusivity, minor diffusivity, and alignment. The Community Earth System Model (CESM) with the anisotropic eddy parameterization is used to test various choices for the parameters, which are motivated by observations and the eddy transport tensor diagnosed from high resolution simulations. Simply setting the ratio of major to minor diffusivities to a value of five globally, while aligning the major axis along the flow direction, improves biogeochemical tracer ventilation and reduces temperature and salinity biases. These effects can be improved by parameterizing the oceanic anisotropic transport mechanisms.
Voting by older adults with cognitive impairments.
Karlawish, Jason
2008-02-01
This presidential election year reminds us of the importance of each vote and of the integrity of the electoral process. Recent elections have been decided by very narrow margins. In this context, the voting rights and capacity of persons with dementia warrant attention. About 4.5 million Americans currently live with dementia. Whether these citizens should vote raises a host of ethical, legal, and practical issues. At what point does someone lose the capacity to vote, and who decides? What kinds of assistance should these voters get, and who should provide it? And how can the voting rights of residents in long-term care facilities be protected?
76 FR 27016 - Evaluating Test Procedures for Voting Systems
Federal Register 2010, 2011, 2012, 2013, 2014
2011-05-10
...-02] Evaluating Test Procedures for Voting Systems AGENCY: National Institute of Standards and... Assistance Commission for use by NIST in research to develop and assess NIST's test procedures for voting... develop and assess NIST test protocols for voting equipment. NIST research is designed to: (1) Develop...
28 CFR 51.19 - Request for notification concerning voting litigation.
Code of Federal Regulations, 2011 CFR
2011-07-01
... voting litigation. 51.19 Section 51.19 Judicial Administration DEPARTMENT OF JUSTICE (CONTINUED) PROCEDURES FOR THE ADMINISTRATION OF SECTION 5 OF THE VOTING RIGHTS ACT OF 1965, AS AMENDED General... to notify the Chief, Voting Section, Civil Rights Division, at the addresses, telefacsimile number...
Hidden discriminative features extraction for supervised high-order time series modeling.
Nguyen, Ngoc Anh Thi; Yang, Hyung-Jeong; Kim, Sunhee
2016-11-01
In this paper, an orthogonal Tucker-decomposition-based extraction of high-order discriminative subspaces from a tensor-based time series data structure is presented, named as Tensor Discriminative Feature Extraction (TDFE). TDFE relies on the employment of category information for the maximization of the between-class scatter and the minimization of the within-class scatter to extract optimal hidden discriminative feature subspaces that are simultaneously spanned by every modality for supervised tensor modeling. In this context, the proposed tensor-decomposition method provides the following benefits: i) reduces dimensionality while robustly mining the underlying discriminative features, ii) results in effective interpretable features that lead to an improved classification and visualization, and iii) reduces the processing time during the training stage and the filtering of the projection by solving the generalized eigenvalue issue at each alternation step. Two real third-order tensor-structures of time series datasets (an epilepsy electroencephalogram (EEG) that is modeled as channel×frequency bin×time frame and a microarray data that is modeled as gene×sample×time) were used for the evaluation of the TDFE. The experiment results corroborate the advantages of the proposed method with averages of 98.26% and 89.63% for the classification accuracies of the epilepsy dataset and the microarray dataset, respectively. These performance averages represent an improvement on those of the matrix-based algorithms and recent tensor-based, discriminant-decomposition approaches; this is especially the case considering the small number of samples that are used in practice. Copyright © 2016 Elsevier Ltd. All rights reserved.
Tensor-based dynamic reconstruction method for electrical capacitance tomography
NASA Astrophysics Data System (ADS)
Lei, J.; Mu, H. P.; Liu, Q. B.; Li, Z. H.; Liu, S.; Wang, X. Y.
2017-03-01
Electrical capacitance tomography (ECT) is an attractive visualization measurement method, in which the acquisition of high-quality images is beneficial for the understanding of the underlying physical or chemical mechanisms of the dynamic behaviors of the measurement objects. In real-world measurement environments, imaging objects are often in a dynamic process, and the exploitation of the spatial-temporal correlations related to the dynamic nature will contribute to improving the imaging quality. Different from existing imaging methods that are often used in ECT measurements, in this paper a dynamic image sequence is stacked into a third-order tensor that consists of a low rank tensor and a sparse tensor within the framework of the multiple measurement vectors model and the multi-way data analysis method. The low rank tensor models the similar spatial distribution information among frames, which is slowly changing over time, and the sparse tensor captures the perturbations or differences introduced in each frame, which is rapidly changing over time. With the assistance of the Tikhonov regularization theory and the tensor-based multi-way data analysis method, a new cost function, with the considerations of the multi-frames measurement data, the dynamic evolution information of a time-varying imaging object and the characteristics of the low rank tensor and the sparse tensor, is proposed to convert the imaging task in the ECT measurement into a reconstruction problem of a third-order image tensor. An effective algorithm is developed to search for the optimal solution of the proposed cost function, and the images are reconstructed via a batching pattern. The feasibility and effectiveness of the developed reconstruction method are numerically validated.
Moral Foundations and Voting Intention in Italy
Milesi, Patrizia
2017-01-01
Based on the view of morality proposed by the Moral Foundations Theory, this paper investigates whether voting intention is associated with moral foundation endorsement in not perfectly bipolar electoral contexts. Three studies carried out in Italy from 2010 to 2013, showed that controlling for ideological orientation, moral foundation endorsement is associated with voting intention. In Study 1 and 3, in fictitious and real national elections, intention to vote for right-wing political groups rather than for left-wing rivals was associated with Sanctity, confirming previous results obtained in the U.S. Furthermore, as a function of the specific competing political groups in each of the examined contexts other moral foundations predicted voting intention. In Study 1, Care and Authority predicted voting intention for the major political groups rather than for an autonomist party that aimed at decreasing central government’s fiscal power in favor of fiscal regional autonomy. In Study 3, Loyalty predicted the intention to vote for the major parliamentarian parties rather than for a movement that aimed at capturing disaffection towards traditional politics. In Study 2, at real regional elections, Loyalty predicted voting intention for the incumbent right-wing governor rather than for the challengers and Fairness predicted voting intention for left-wing extra-parliamentarian political groups rather than for the major left-wing party. Thus multiple moral concerns can be associated with voting intention. In fragmented and unstable electoral contexts, at each election the context of the competing political groups may elicit specific moral concerns that can contribute to affect voting intention beyond ideological orientation. PMID:29358981
28 CFR 51.29 - Communications concerning voting changes.
Code of Federal Regulations, 2010 CFR
2010-07-01
... 28 Judicial Administration 2 2010-07-01 2010-07-01 false Communications concerning voting changes... Groups § 51.29 Communications concerning voting changes. Any individual or group may send to the Attorney General information concerning a change affecting voting in a jurisdiction to which section 5 applies. (a...
Federal Register 2010, 2011, 2012, 2013, 2014
2013-12-26
... Voting Survey; Comment Request AGENCY: U.S. Election Assistance Commission (EAC). ACTION: Notice. SUMMARY... Survey) to the Director of the Office of Management and Budget for approval. The 2014 Election Administration and Voting Survey (Survey) asks election officials questions concerning voting and election...
ERIC Educational Resources Information Center
Golden, Kathleen
1985-01-01
A study showed that the acquisition of voting knowledge in a civics class positively influenced ninth- and tenth-grade students' attitudes toward voting. Teachers should give students a solid foundation concerning the electoral process and encourage students to participate in the political process. (RM)
7 CFR 1160.603 - Who may vote.
Code of Federal Regulations, 2010 CFR
2010-01-01
... person shall be refused a ballot. Any person casting more than one ballot with conflicting votes shall thereby invalidate all ballots cast by such person in such referendum. Each person voting shall have registered with the referendum agent prior to the voting period. Each ballot cast shall contain a...
History of Voting in the United States.
ERIC Educational Resources Information Center
Yang, Elizabeth M.
1996-01-01
Explores the constitutional amendments and federal laws that extended the right to vote to most citizens. Discusses the historical circumstances and social issues that surrounded passage of the 15th Amendment (elimination of racial barriers), 19th Amendment (women's right to vote), and the Voting Rights Act of 1965. (MJP)
77 FR 57486 - Federal Voting Assistance Program
Federal Register 2010, 2011, 2012, 2013, 2014
2012-09-18
... covered by the Uniformed and Overseas Citizens Absentee Voting Act (UOCAVA) as modified by the Military... among the various levels of Government. List of Subjects in 32 CFR Part 233 Voting rights, civil rights... Absentee Voting Act (UOCAVA), 42 U.S.C. 1973ff-1973ff-6. (b) Establishes policy and assigns...
28 CFR 51.19 - Request for notification concerning voting litigation.
Code of Federal Regulations, 2010 CFR
2010-07-01
... voting litigation. 51.19 Section 51.19 Judicial Administration DEPARTMENT OF JUSTICE (CONTINUED) PROCEDURES FOR THE ADMINISTRATION OF SECTION 5 OF THE VOTING RIGHTS ACT OF 1965, AS AMENDED General... promptly to notify the Chief, Voting Section, Civil Rights Division, Department of Justice, P.O. Box 66128...
28 CFR 51.29 - Communications concerning voting changes.
Code of Federal Regulations, 2011 CFR
2011-07-01
... ADMINISTRATION OF SECTION 5 OF THE VOTING RIGHTS ACT OF 1965, AS AMENDED Communications From Individuals and... section 5 of the Voting Rights Act.” Comments should include, where available, the name of the... the Chief, Voting Section, Civil Rights Division, at the addresses, telefacsimile number, or email...
78 FR 25677 - Balloting Materials Postage
Federal Register 2010, 2011, 2012, 2013, 2014
2013-05-02
... for the return of ballots, unless mailed under the special exemption for military or overseas voting.... SUPPLEMENTARY INFORMATION: With the growth of no excuse absentee voting, and the spread of vote-by-mail efforts... exemption for military and overseas voting or returned under Business Reply Mail service must indicate in a...
Code of Federal Regulations, 2012 CFR
2012-01-01
... Regional Director. The certification will include, at a minimum, the number of members who voted, the number of affirmative votes, and the number of negative votes. During the course of the voting period the..., and internet website posting. (3) Does not include communications intended to be read only by the...
Code of Federal Regulations, 2014 CFR
2014-01-01
... Regional Director. The certification will include, at a minimum, the number of members who voted, the number of affirmative votes, and the number of negative votes. During the course of the voting period the..., and internet website posting. (3) Does not include communications intended to be read only by the...
Code of Federal Regulations, 2013 CFR
2013-01-01
... Regional Director. The certification will include, at a minimum, the number of members who voted, the number of affirmative votes, and the number of negative votes. During the course of the voting period the..., and internet website posting. (3) Does not include communications intended to be read only by the...
MULTISCALE TENSOR ANISOTROPIC FILTERING OF FLUORESCENCE MICROSCOPY FOR DENOISING MICROVASCULATURE.
Prasath, V B S; Pelapur, R; Glinskii, O V; Glinsky, V V; Huxley, V H; Palaniappan, K
2015-04-01
Fluorescence microscopy images are contaminated by noise and improving image quality without blurring vascular structures by filtering is an important step in automatic image analysis. The application of interest here is to automatically extract the structural components of the microvascular system with accuracy from images acquired by fluorescence microscopy. A robust denoising process is necessary in order to extract accurate vascular morphology information. For this purpose, we propose a multiscale tensor with anisotropic diffusion model which progressively and adaptively updates the amount of smoothing while preserving vessel boundaries accurately. Based on a coherency enhancing flow with planar confidence measure and fused 3D structure information, our method integrates multiple scales for microvasculature preservation and noise removal membrane structures. Experimental results on simulated synthetic images and epifluorescence images show the advantage of our improvement over other related diffusion filters. We further show that the proposed multiscale integration approach improves denoising accuracy of different tensor diffusion methods to obtain better microvasculature segmentation.
Zhou, X; Ouyang, Q; Zhu, Y; Feng, C; Zhang, X
2014-04-01
To investigate whether occupants' anticipated control of their thermal environment can influence their thermal comfort and to explain why the acceptable temperature range in naturally ventilated environments is greater than that in air-conditioned environments, a series of experiments were conducted in a climate chamber in which the thermal environment remained the same but the psychological environment varied. The results of the experiments show that the ability to control the environment can improve occupants' thermal sensation and thermal comfort. Specifically, occupants' anticipated control decreased their thermal sensation vote (TSV) by 0.4-0.5 and improved their thermal comfort vote (TCV) by 0.3-0.4 in neutral-warm environment. This improvement was due exclusively to psychological factors. In addition, having to pay the cost of cooling had no significant influence on the occupants' thermal sensation and thermal comfort in this experiment. Thus, having the ability to control the thermal environment can improve occupants' comfort even if there is a monetary cost involved. © 2013 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.
Voting procedures from the perspective of theory of neural networks
NASA Astrophysics Data System (ADS)
Suleimenov, Ibragim; Panchenko, Sergey; Gabrielyan, Oleg; Pak, Ivan
2016-11-01
It is shown that voting procedure in any authority can be treated as Hopfield neural network analogue. It was revealed that weight coefficients of neural network which has discrete outputs -1 and 1 can be replaced by coefficients of a discrete set (-1, 0, 1). This gives us the opportunity to qualitatively analyze the voting procedure on the basis of limited data about mutual influence of members. It also proves that result of voting procedure is actually taken by network formed by voting members.
NASA Astrophysics Data System (ADS)
Jonker, Hugo; Pieters, Wolter
According to international law, anonymity of the voter is a fundamental precondition for democratic elections. In electronic voting, several aspects of voter anonymity have been identified. In this paper, we re-examine anonymity with respect to voting, and generalise existing notions of anonymity in e-voting. First, we identify and categorise the types of attack that can be a threat to anonymity of the voter, including different types of vote buying and coercion. This analysis leads to a categorisation of anonymity in voting in terms of a) the strength of the anonymity achieved and b) the extent of interaction between voter and attacker. Some of the combinations, including weak and strong receipt-freeness, are formalised in epistemic logic.
Jabs, Douglas A; Dick, Andrew; Doucette, John T; Gupta, Amod; Lightman, Susan; McCluskey, Peter; Okada, Annabelle A; Palestine, Alan G; Rosenbaum, James T; Saleem, Sophia M; Thorne, Jennifer; Trusko, Brett
2018-02-01
To evaluate the interobserver agreement among uveitis experts on the diagnosis of the specific uveitic disease. Interobserver agreement analysis. Five committees, each comprised of 9 individuals and working in parallel, reviewed cases from a preliminary database of 25 uveitic diseases, collected by disease, and voted independently online whether the case was the disease in question or not. The agreement statistic, κ, was calculated for the 36 pairwise comparisons for each disease, and a mean κ was calculated for each disease. After the independent online voting, committee consensus conference calls, using nominal group techniques, reviewed all cases not achieving supermajority agreement (>75%) on the diagnosis in the online voting to attempt to arrive at a supermajority agreement. A total of 5766 cases for the 25 diseases were evaluated. The overall mean κ for the entire project was 0.39, with disease-specific variation ranging from 0.23 to 0.79. After the formalized consensus conference calls to address cases that did not achieve supermajority agreement in the online voting, supermajority agreement overall was reached on approximately 99% of cases, with disease-specific variation ranging from 96% to 100%. Agreement among uveitis experts on diagnosis is moderate at best but can be improved by discussion among them. These data suggest the need for validated and widely used classification criteria in the field of uveitis. Copyright © 2017 Elsevier Inc. All rights reserved.
Retrospective voting and party support at elections: credit and blame for government and opposition
Plescia, Carolina; Kritzinger, Sylvia
2017-01-01
ABSTRACT Retrospective voting is arguably one of the most important mechanisms of representative democracy, and whether or not the public holds the government accountable for its policy performance has been extensively studied. In this paper, we test whether retrospective voting extends to parties in the opposition, that is whether and how parties’ past performance evaluations affect their vote, regardless of whether they were in government or in opposition. Taking advantage of a rich set of questions embedded in a representative German national elections panel, we update our knowledge on the retrospective voting mechanism by modeling retrospective voting at the party level. The findings indicate that the incumbent status is not the only criterion for retrospective voting, ultimately suggesting that both government and opposition parties can expect credit and blame for their conduct and this should provide some impetus for responsive performance of all parties. PMID:28515772
Do Implicit Attitudes Predict Actual Voting Behavior Particularly for Undecided Voters?
Friese, Malte; Smith, Colin Tucker; Plischke, Thomas; Bluemke, Matthias; Nosek, Brian A.
2012-01-01
The prediction of voting behavior of undecided voters poses a challenge to psychologists and pollsters. Recently, researchers argued that implicit attitudes would predict voting behavior particularly for undecided voters whereas explicit attitudes would predict voting behavior particularly for decided voters. We tested this assumption in two studies in two countries with distinct political systems in the context of real political elections. Results revealed that (a) explicit attitudes predicted voting behavior better than implicit attitudes for both decided and undecided voters, and (b) implicit attitudes predicted voting behavior better for decided than undecided voters. We propose that greater elaboration of attitudes produces stronger convergence between implicit and explicit attitudes resulting in better predictive validity of both, and less incremental validity of implicit over explicit attitudes for the prediction of voting behavior. However, greater incremental predictive validity of implicit over explicit attitudes may be associated with less elaboration. PMID:22952898
ERIC Educational Resources Information Center
Kowszun, Jorj
2017-01-01
A vote with two candidates is simple -- the majority is clear. When there are more candidates, the vote is still clear if one receives more votes than all the others put together. Problems can occur if no candidate has that overall majority. Here are illustrated several voting methods that attempt to achieve fairness in a single election without…
Classroom Voting Questions to Stimulate Discussions in Precalculus
ERIC Educational Resources Information Center
Cline, Kelly; Zullo, Holly; Huckaby, David A.; Storm, Christopher; Stewart, Ann
2018-01-01
Classroom voting can be an effective way to stimulate student discussions. In this pedagogy, the instructor poses a multiple-choice question to the class, and then allows a few minutes for consideration and small-group discussion before students vote, either with clickers, cell phones, or a non-electronic method. After the vote the instructor…
29 CFR 452.64 - Write-in votes.
Code of Federal Regulations, 2010 CFR
2010-07-01
... 29 Labor 2 2010-07-01 2010-07-01 false Write-in votes. 452.64 Section 452.64 Labor Regulations... OF 1959 Nominations for Office § 452.64 Write-in votes. The Act neither requires nor prohibits write-in candidacy or write-in votes. These matters are governed by appropriate provisions of the union's...
Perspectives: Should Mandatory Voting Laws Be Implemented in the United States?
ERIC Educational Resources Information Center
Ornstein, Norman; Stoilov, Vassia
2011-01-01
Many countries around the world have compulsory voting laws. In the United States, where voter turnout tends to be lower than in other developed democracies, experts wonder whether voting laws would have a positive impact. In two distinct essays, voting and elections experts Norman Ornstein and Vassia Stoilov debate the implementation of…
78 FR 6289 - Estimates of the Voting Age Population for 2012
Federal Register 2010, 2011, 2012, 2013, 2014
2013-01-30
... DEPARTMENT OF COMMERCE Office of the Secretary Estimates of the Voting Age Population for 2012... estimates. SUMMARY: This notice announces the voting age population estimates as of July 1, 2012, for each... notice that the estimates of the voting age population for July 1, 2012, for each state and the District...
16 CFR 801.13 - Aggregation of voting securities, assets and non-corporate interests.
Code of Federal Regulations, 2010 CFR
2010-01-01
... COVERAGE RULES § 801.13 Aggregation of voting securities, assets and non-corporate interests. (a) Voting... 16 Commercial Practices 1 2010-01-01 2010-01-01 false Aggregation of voting securities, assets and non-corporate interests. 801.13 Section 801.13 Commercial Practices FEDERAL TRADE COMMISSION RULES...
16 CFR 801.13 - Aggregation of voting securities, assets and non-corporate interests.
Code of Federal Regulations, 2011 CFR
2011-01-01
... COVERAGE RULES § 801.13 Aggregation of voting securities, assets and non-corporate interests. (a) Voting... 16 Commercial Practices 1 2011-01-01 2011-01-01 false Aggregation of voting securities, assets and non-corporate interests. 801.13 Section 801.13 Commercial Practices FEDERAL TRADE COMMISSION RULES...
Code of Federal Regulations, 2012 CFR
2012-01-01
... § 802.4 Acquisitions of voting securities of issuers or non-corporate interests in unincorporated... voting securities or an unincorporated entity whose non-corporate interests are being acquired pursuant... 16 Commercial Practices 1 2012-01-01 2012-01-01 false Acquisitions of voting securities of issuers...
Code of Federal Regulations, 2013 CFR
2013-01-01
... § 802.4 Acquisitions of voting securities of issuers or non-corporate interests in unincorporated... voting securities or an unincorporated entity whose non-corporate interests are being acquired pursuant... 16 Commercial Practices 1 2013-01-01 2013-01-01 false Acquisitions of voting securities of issuers...
Code of Federal Regulations, 2014 CFR
2014-01-01
... § 802.4 Acquisitions of voting securities of issuers or non-corporate interests in unincorporated... voting securities or an unincorporated entity whose non-corporate interests are being acquired pursuant... 16 Commercial Practices 1 2014-01-01 2014-01-01 false Acquisitions of voting securities of issuers...
16 CFR 801.13 - Aggregation of voting securities, assets and non-corporate interests.
Code of Federal Regulations, 2012 CFR
2012-01-01
... COVERAGE RULES § 801.13 Aggregation of voting securities, assets and non-corporate interests. (a) Voting... 16 Commercial Practices 1 2012-01-01 2012-01-01 false Aggregation of voting securities, assets and non-corporate interests. 801.13 Section 801.13 Commercial Practices FEDERAL TRADE COMMISSION RULES...
16 CFR 801.13 - Aggregation of voting securities, assets and non-corporate interests.
Code of Federal Regulations, 2014 CFR
2014-01-01
... COVERAGE RULES § 801.13 Aggregation of voting securities, assets and non-corporate interests. (a) Voting... 16 Commercial Practices 1 2014-01-01 2014-01-01 false Aggregation of voting securities, assets and non-corporate interests. 801.13 Section 801.13 Commercial Practices FEDERAL TRADE COMMISSION RULES...
16 CFR 801.13 - Aggregation of voting securities, assets and non-corporate interests.
Code of Federal Regulations, 2013 CFR
2013-01-01
... COVERAGE RULES § 801.13 Aggregation of voting securities, assets and non-corporate interests. (a) Voting... 16 Commercial Practices 1 2013-01-01 2013-01-01 false Aggregation of voting securities, assets and non-corporate interests. 801.13 Section 801.13 Commercial Practices FEDERAL TRADE COMMISSION RULES...
12 CFR 708a.13 - Voting guidelines.
Code of Federal Regulations, 2010 CFR
2010-01-01
... 12 Banks and Banking 6 2010-01-01 2010-01-01 false Voting guidelines. 708a.13 Section 708a.13... INSURED CREDIT UNIONS TO MUTUAL SAVINGS BANKS § 708a.13 Voting guidelines. A converting credit union must conduct its member vote on conversion in a fair and legal manner. NCUA provides the following guidelines...
Code of Federal Regulations, 2011 CFR
2011-07-01
... Voting Rights Act of 1965, 79 Stat. 437, as amended by the Civil Rights Act of 1968, 82 Stat. 73, the Voting Rights Act Amendments of 1970, 84 Stat. 314, the District of Columbia Delegate Act, 84 Stat. 853, the Voting Rights Act Amendments of 1975, 89 Stat. 400, the Voting Rights Act Amendments of 1982, 96...
Code of Federal Regulations, 2011 CFR
2011-07-01
... Administration DEPARTMENT OF JUSTICE (CONTINUED) PROCEDURES FOR THE ADMINISTRATION OF SECTION 5 OF THE VOTING RIGHTS ACT OF 1965, AS AMENDED General Provisions § 51.1 Purpose. (a) Section 5 of the Voting Rights Act... section 4(b) of the Act, 42 U.S.C. 1973b(b), of any voting qualification or prerequisite to voting, or...
Code of Federal Regulations, 2010 CFR
2010-07-01
... Administration DEPARTMENT OF JUSTICE (CONTINUED) PROCEDURES FOR THE ADMINISTRATION OF SECTION 5 OF THE VOTING RIGHTS ACT OF 1965, AS AMENDED General Provisions § 51.1 Purpose. (a) Section 5 of the Voting Rights Act... section 4(b) of the Act, 42 U.S.C. 1973b(b), of any voting qualification or prerequisite to voting, or...
The Legal Struggles to Gain Americans the Right To Vote.
ERIC Educational Resources Information Center
Amamoo, Samia J.
2000-01-01
Discusses the major milestones in the battle for voting rights focusing on the 15th, 19th, 24th, and 26th Amendments and the Voting Rights Act of 1965. Considers the future role of direct voting, specifically initiatives and referendums, and questions whether initiatives and referendums will encourage voter turnout. (CMK)
Code of Federal Regulations, 2010 CFR
2010-07-01
... Voting Rights Act of 1965, 79 Stat. 437, as amended by the Civil Rights Act of 1968, 82 Stat. 73, the Voting Rights Act Amendments of 1970, 84 Stat. 314, the District of Columbia Delegate Act, 84 Stat. 853, the Voting Rights Act Amendments of 1975, 89 Stat. 400, and the Voting Rights Act Amendments of 1982...
76 FR 1559 - Guidelines for the Use of Electronic Voting Systems in Union Officer Elections
Federal Register 2010, 2011, 2012, 2013, 2014
2011-01-11
... voting. Id. However, there are still concerns regarding on-line computer security, viruses and attacks... casting votes at polling sites; electronic voting from remote site personal computers via the Internet..., Washington, DC 20210. Because of security precautions, the Department continues to experience delays in U.S...
Approval Voting and Parochialism
ERIC Educational Resources Information Center
Baron, Jonathan; Altman, Nicole Y.; Kroll, Stephan
2005-01-01
In hypothetical scenarios involving two groups (nations or groups of workers), subjects voted on three proposals: one helped group A (their group), one helped B, and one helped both groups, more than the average of the first two but less than their maximum. When subjects voted for one proposal, most voted for the one that helped group A. This…
12 CFR 7.2022 - Voting trusts.
Code of Federal Regulations, 2010 CFR
2010-01-01
... 12 Banks and Banking 1 2010-01-01 2010-01-01 false Voting trusts. 7.2022 Section 7.2022 Banks and... Practices § 7.2022 Voting trusts. The shareholders of a national bank may establish a voting trust under the applicable law of a state selected by the participants and designated in the trust agreement, provided the...
Digital herders and phase transition in a voting model
NASA Astrophysics Data System (ADS)
Hisakado, M.; Mori, S.
2011-07-01
In this paper, we discuss a voting model with two candidates, C1 and C2. We set two types of voters—herders and independents. The voting of independent voters is based on their fundamental values; on the other hand, the voting of herders is based on the number of votes. Herders always select the majority of the previous r votes, which are visible to them. We call them digital herders. We can accurately calculate the distribution of votes for special cases. When r >= 3, we find that a phase transition occurs at the upper limit of t, where t is the discrete time (or number of votes). As the fraction of herders increases, the model features a phase transition beyond which a state where most voters make the correct choice coexists with one where most of them are wrong. On the other hand, when r < 3, there is no phase transition. In this case, the herders' performance is the same as that of the independent voters. Finally, we recognize the behavior of human beings by conducting simple experiments.
Conley, Dalton; McCabe, Brian J
2012-01-01
Evidence on the relationship between political contributions and legislators' voting behavior is marred by concerns about endogeneity in the estimation process. Using a legislator's offspring sex mix as a truly exogenous variable, we employ an instrumental variable estimation procedure to predict the effect of voting behavior on political contributions. Following previous research, we find that a legislator's proportion daughters has a significant effect on voting behavior for women's issues, as measured by score in the "Congressional Record on Choice" issued by NARAL Pro-Choice America. In the second stage, we make a unique contribution by demonstrating a significant impact of exogenous voting behavior on PAC contributions, lending further credibility to the hypothesis that Political Action Committees respond to legislators' voting patterns by "rewarding" political candidates that vote in line with the positions of the PAC, rather than affecting those same votes - at least in this high-profile policy domain. Copyright © 2011 Elsevier Inc. All rights reserved.
Steps to reconcile inflationary tensor and scalar spectra
NASA Astrophysics Data System (ADS)
Miranda, Vinícius; Hu, Wayne; Adshead, Peter
2014-05-01
The recent BICEP2 B-mode polarization determination of an inflationary tensor-scalar ratio r=0.2-0.05+0.07 is in tension with simple scale-free models of inflation due to a lack of a corresponding low multipole excess in the temperature power spectrum which places a limit of r0.002<0.11 (95% C.L.) on such models. Single-field inflationary models that reconcile these two observations, even those where the tilt runs substantially, introduce a scale into the scalar power spectrum. To cancel the tensor excess, and simultaneously remove the excess already present without tensors, ideally the model should introduce this scale as a relatively sharp transition in the tensor-scalar ratio around the horizon at recombination. We consider models which generate such a step in this quantity and find that they can improve the joint fit to the temperature and polarization data by up to 2ΔlnL≈-14 without changing cosmological parameters. Precision E-mode polarization measurements should be able to test this explanation.
Alternatives for jet engine control
NASA Technical Reports Server (NTRS)
Sain, M. K.
1981-01-01
Research centered on basic topics in the modeling and feedback control of nonlinear dynamical systems is reported. Of special interest were the following topics: (1) the role of series descriptions, especially insofar as they relate to questions of scheduling, in the control of gas turbine engines; (2) the use of algebraic tensor theory as a technique for parameterizing such descriptions; (3) the relationship between tensor methodology and other parts of the nonlinear literature; (4) the improvement of interactive methods for parameter selection within a tensor viewpoint; and (5) study of feedback gain representation as a counterpart to these modeling and parameterization ideas.
Synchronization and fault-masking in redundant real-time systems
NASA Technical Reports Server (NTRS)
Krishna, C. M.; Shin, K. G.; Butler, R. W.
1983-01-01
A real time computer may fail because of massive component failures or not responding quickly enough to satisfy real time requirements. An increase in redundancy - a conventional means of improving reliability - can improve the former but can - in some cases - degrade the latter considerably due to the overhead associated with redundancy management, namely the time delay resulting from synchronization and voting/interactive consistency techniques. The implications of synchronization and voting/interactive consistency algorithms in N-modular clusters on reliability are considered. All these studies were carried out in the context of real time applications. As a demonstrative example, we have analyzed results from experiments conducted at the NASA Airlab on the Software Implemented Fault Tolerance (SIFT) computer. This analysis has indeed indicated that in most real time applications, it is better to employ hardware synchronization instead of software synchronization and not allow reconfiguration.
Ida, Ramsey; De Clerk, Maurice; Wu, Gang
2006-01-26
We report a computational study for the 17O NMR tensors (electric field gradient and chemical shielding tensors) in crystalline uracil. We found that N-H...O and C-H...O hydrogen bonds around the uracil molecule in the crystal lattice have quite different influences on the 17O NMR tensors for the two C=O groups. The computed 17O NMR tensors on O4, which is involved in two strong N-H...O hydrogen bonds, show remarkable sensitivity toward the choice of cluster model, whereas the 17O NMR tensors on O2, which is involved in two weak C-H...O hydrogen bonds, show much smaller improvement when the cluster model includes the C-H...O hydrogen bonds. Our results demonstrate that it is important to have accurate hydrogen atom positions in the molecular models used for 17O NMR tensor calculations. In the absence of low-temperature neutron diffraction data, an effective way to generate reliable hydrogen atom positions in the molecular cluster model is to employ partial geometry optimization for hydrogen atom positions using a cluster model that includes all neighboring hydrogen-bonded molecules. Using an optimized seven-molecule model (a total of 84 atoms), we were able to reproduce the experimental 17O NMR tensors to a reasonably good degree of accuracy. However, we also found that the accuracy for the calculated 17O NMR tensors at O2 is not as good as that found for the corresponding tensors at O4. In particular, at the B3LYP/6-311++G(d,p) level of theory, the individual 17O chemical shielding tensor components differ by less than 10 and 30 ppm from the experimental values for O4 and O2, respectively. For the 17O quadrupole coupling constant, the calculated values differ by 0.30 and 0.87 MHz from the experimental values for O4 and O2, respectively.
NASA Astrophysics Data System (ADS)
Baker, Ben; Stachnik, Joshua; Rozhkov, Mikhail
2017-04-01
International Data Center is required to conduct expert technical analysis and special studies to improve event parameters and assist State Parties in identifying the source of specific event according to the protocol to the Protocol to the Comprehensive Nuclear Test Ban Treaty. Determination of seismic event source mechanism and its depth is closely related to these tasks. It is typically done through a strategic linearized inversion of the waveforms for a complete or subset of source parameters, or similarly defined grid search through precomputed Greens Functions created for particular source models. In this presentation we demonstrate preliminary results obtained with the latter approach from an improved software design. In this development we tried to be compliant with different modes of CTBT monitoring regime and cover wide range of source-receiver distances (regional to teleseismic), resolve shallow source depths, provide full moment tensor solution based on body and surface waves recordings, be fast to satisfy both on-demand studies and automatic processing and properly incorporate observed waveforms and any uncertainties a priori as well as accurately estimate posteriori uncertainties. Posterior distributions of moment tensor parameters show narrow peaks where a significant number of reliable surface wave observations are available. For earthquake examples, fault orientation (strike, dip, and rake) posterior distributions also provide results consistent with published catalogues. Inclusion of observations on horizontal components will provide further constraints. In addition, the calculation of teleseismic P wave Green's Functions are improved through prior analysis to determine an appropriate attenuation parameter for each source-receiver path. Implemented HDF5 based Green's Functions pre-packaging allows much greater flexibility in utilizing different software packages and methods for computation. Further additions will have the rapid use of Instaseis/AXISEM full waveform synthetics added to a pre-computed GF archive. Along with traditional post processing analysis of waveform misfits through several objective functions and variance reduction, we follow a probabilistic approach to assess the robustness of moment tensor solution. In a course of this project full moment tensor and depth estimates are determined for DPRK events and shallow earthquakes using a new implementation of teleseismic P waves waveform fitting. A full grid search over the entire moment tensor space is used to appropriately sample all possible solutions. A recent method by Tape & Tape (2012) to discretize the complete moment tensor space from a geometric perspective is used. Probabilistic uncertainty estimates on the moment tensor parameters provide robustness to solution.
7 CFR 1230.621 - Voting period.
Code of Federal Regulations, 2010 CFR
2010-01-01
... AND ORDERS; MISCELLANEOUS COMMODITIES), DEPARTMENT OF AGRICULTURE PORK PROMOTION, RESEARCH, AND... term Voting period means the 3-consecutive business day period for in-person voting. Referendum ...
U.S. Senator's Ideal Points for Higher Education: Documenting Partisanship, 1965-2004
ERIC Educational Resources Information Center
Doyle, William R.
2010-01-01
Congressional scholars have long analyzed legislative behavior by examining roll call votes. The study of roll call votes has rarely been extended to particular policy areas, with a few exceptions, such as abortion and environmental issues. This study examines roll call voting in the area of higher education policy. In examining voting patterns…
Federal Register 2010, 2011, 2012, 2013, 2014
2012-09-06
... for Version 1.1 of the Voluntary Voting System Guidelines (VVSG) AGENCY: United States Election... Voluntary Voting System Guidelines (VVSG). SUMMARY: The Help America Vote Act of 2002 (HAVA) (Pub. L. 107... (EAC). Section 202 of HAVA directs the EAC to adopt voluntary voting system guidelines (VVSG) and to...
Quality monitored distributed voting system
Skogmo, David
1997-01-01
A quality monitoring system can detect certain system faults and fraud attempts in a distributed voting system. The system uses decoy voters to cast predetermined check ballots. Absent check ballots can indicate system faults. Altered check ballots can indicate attempts at counterfeiting votes. The system can also cast check ballots at predetermined times to provide another check on the distributed voting system.
ERIC Educational Resources Information Center
Thomas, Reuben J.; McFarland, Daniel A.
2010-01-01
Adolescent voluntary associations are particularly well positioned in the life course to encourage voting as youth become full citizens. Extracurriculars socialize students into voting by habituating them to civic engagement and by connecting them to politically engaged cultures. We establish this argument by testing the effects of high school…
2016-04-01
Acknowledgments Contact Acknowledgments Related GAO Products Page 75 GAO-16-378 DOD Overseas Absentee Voting U.S. Postal Service: Actions... Products Page 76 GAO-16-378 DOD Overseas Absentee Voting Election Reform: Nine States’ Experiences Implementing Federal Requirements for...ELECTIONS DOD Needs More Comprehensive Planning to Address Military and Overseas Absentee Voting Challenges
16 CFR 801.10 - Value of voting securities, non-corporate interests and assets to be acquired.
Code of Federal Regulations, 2013 CFR
2013-01-01
... 16 Commercial Practices 1 2013-01-01 2013-01-01 false Value of voting securities, non-corporate... ACT OF 1976 COVERAGE RULES § 801.10 Value of voting securities, non-corporate interests and assets to... value of all consideration for such voting securities, non-corporate interests or assets to be acquired...
Code of Federal Regulations, 2014 CFR
2014-01-01
... of determining the aggregate total amount of voting securities, non-corporate interests and assets of...-corporate interests or voting securities the acquisition of which was exempt at the time of acquisition (or... 16 Commercial Practices 1 2014-01-01 2014-01-01 false Aggregation of voting securities, non...
16 CFR 801.10 - Value of voting securities, non-corporate interests and assets to be acquired.
Code of Federal Regulations, 2014 CFR
2014-01-01
... 16 Commercial Practices 1 2014-01-01 2014-01-01 false Value of voting securities, non-corporate... ACT OF 1976 COVERAGE RULES § 801.10 Value of voting securities, non-corporate interests and assets to... value of all consideration for such voting securities, non-corporate interests or assets to be acquired...
Code of Federal Regulations, 2012 CFR
2012-01-01
... of determining the aggregate total amount of voting securities, non-corporate interests and assets of...-corporate interests or voting securities the acquisition of which was exempt at the time of acquisition (or... 16 Commercial Practices 1 2012-01-01 2012-01-01 false Aggregation of voting securities, non...
16 CFR 801.10 - Value of voting securities, non-corporate interests and assets to be acquired.
Code of Federal Regulations, 2012 CFR
2012-01-01
... 16 Commercial Practices 1 2012-01-01 2012-01-01 false Value of voting securities, non-corporate... ACT OF 1976 COVERAGE RULES § 801.10 Value of voting securities, non-corporate interests and assets to... value of all consideration for such voting securities, non-corporate interests or assets to be acquired...
Code of Federal Regulations, 2013 CFR
2013-01-01
... of determining the aggregate total amount of voting securities, non-corporate interests and assets of...-corporate interests or voting securities the acquisition of which was exempt at the time of acquisition (or... 16 Commercial Practices 1 2013-01-01 2013-01-01 false Aggregation of voting securities, non...
29 CFR 452.86 - Vote conditioned on payment of dues.
Code of Federal Regulations, 2010 CFR
2010-07-01
... where a member is laid off but desires to maintain his good standing and thus his membership rights by... AND DISCLOSURE ACT OF 1959 Right To Vote § 452.86 Vote conditioned on payment of dues. A labor organization may condition the exercise of the right to vote upon the payment of dues, which is a basic...
77 FR 47442 - BlackRock Preferred Partners LLC, et al.; Notice of Application
Federal Register 2010, 2011, 2012, 2013, 2014
2012-08-08
... section 18(i) of the Act because each class would be entitled to exclusive voting rights with respect to... registered management investment company will be a voting stock and have equal voting rights with every other.... Applicants submit that the proposed allocation of expenses and voting rights among multiple classes is...
Federal Register 2010, 2011, 2012, 2013, 2014
2011-08-31
... General's Guidelines on Implementation of the Provisions of the Voting Rights Act Regarding Language... the Voting Rights Act, which require certain states and political subdivisions to conduct elections in... language requirements in sections 4(f)(4) and 203 of the Voting Rights Act. The rule also amends the...
Federal Register 2010, 2011, 2012, 2013, 2014
2011-09-14
... respective voting rights and of Class A and Class B common stock, (iv) setting forth certain limitations on... Incorporation, shares of Non-Voting Common Stock possess the same rights, preferences, powers, privileges...-Voting Class B Common Stock. Except for voting rights and certain conversion features, as described below...
17 CFR 240.16b-8 - Voting trusts.
Code of Federal Regulations, 2010 CFR
2010-04-01
... 17 Commodity and Securities Exchanges 3 2010-04-01 2010-04-01 false Voting trusts. 240.16b-8... Exchange Act of 1934 Exemption of Certain Transactions from Section 16(b) § 240.16b-8 Voting trusts. Any... deposit or withdrawal from a voting trust or deposit agreement shall be exempt from section 16(b) of the...
ERIC Educational Resources Information Center
Merrill, Samuel, III; Enelow, James M.
This document consists of two modules. The first studies a variety of multicandidate voting systems, including approval, Borda, and cumulative voting, using a model which takes account of a voter's intensity of preference for candidates. The voter's optimal strategy is investigated for each voting system using decision criteria under uncertainty…
Automatic Segmentation and Quantification of Filamentous Structures in Electron Tomography
Loss, Leandro A.; Bebis, George; Chang, Hang; Auer, Manfred; Sarkar, Purbasha; Parvin, Bahram
2016-01-01
Electron tomography is a promising technology for imaging ultrastructures at nanoscale resolutions. However, image and quantitative analyses are often hindered by high levels of noise, staining heterogeneity, and material damage either as a result of the electron beam or sample preparation. We have developed and built a framework that allows for automatic segmentation and quantification of filamentous objects in 3D electron tomography. Our approach consists of three steps: (i) local enhancement of filaments by Hessian filtering; (ii) detection and completion (e.g., gap filling) of filamentous structures through tensor voting; and (iii) delineation of the filamentous networks. Our approach allows for quantification of filamentous networks in terms of their compositional and morphological features. We first validate our approach using a set of specifically designed synthetic data. We then apply our segmentation framework to tomograms of plant cell walls that have undergone different chemical treatments for polysaccharide extraction. The subsequent compositional and morphological analyses of the plant cell walls reveal their organizational characteristics and the effects of the different chemical protocols on specific polysaccharides. PMID:28090597
Automatic Segmentation and Quantification of Filamentous Structures in Electron Tomography.
Loss, Leandro A; Bebis, George; Chang, Hang; Auer, Manfred; Sarkar, Purbasha; Parvin, Bahram
2012-10-01
Electron tomography is a promising technology for imaging ultrastructures at nanoscale resolutions. However, image and quantitative analyses are often hindered by high levels of noise, staining heterogeneity, and material damage either as a result of the electron beam or sample preparation. We have developed and built a framework that allows for automatic segmentation and quantification of filamentous objects in 3D electron tomography. Our approach consists of three steps: (i) local enhancement of filaments by Hessian filtering; (ii) detection and completion (e.g., gap filling) of filamentous structures through tensor voting; and (iii) delineation of the filamentous networks. Our approach allows for quantification of filamentous networks in terms of their compositional and morphological features. We first validate our approach using a set of specifically designed synthetic data. We then apply our segmentation framework to tomograms of plant cell walls that have undergone different chemical treatments for polysaccharide extraction. The subsequent compositional and morphological analyses of the plant cell walls reveal their organizational characteristics and the effects of the different chemical protocols on specific polysaccharides.
Inevitable inflation in Einstein-Cartan theory with improved energy-momentum tensor with spin
NASA Technical Reports Server (NTRS)
Fennelly, A. J.; Bradas, James C.; Smalley, Larry L.
1988-01-01
Generalized, or power-law, inflation is shown to necessarily exist for a simple, anisotropic, (Bianchi Type-1) cosmology in the Einstein-Cartan gravitational theory with the Ray-Smalley improved energy momentum tensor with spin. Formal solution of the EC field equations with the fluid equations of motion explicitly shows inflation caused by the RS spin angular kinetic energy density. Shear is not effective in preventing inflation in the ECRS model. The relation between fluid vorticity, torsion, reference axis rotation, and shear ellipsoid precession shows through clearly.
Holmes, Sean T; Iuliucci, Robbie J; Mueller, Karl T; Dybowski, Cecil
2015-11-10
Calculations of the principal components of magnetic-shielding tensors in crystalline solids require the inclusion of the effects of lattice structure on the local electronic environment to obtain significant agreement with experimental NMR measurements. We assess periodic (GIPAW) and GIAO/symmetry-adapted cluster (SAC) models for computing magnetic-shielding tensors by calculations on a test set containing 72 insulating molecular solids, with a total of 393 principal components of chemical-shift tensors from 13C, 15N, 19F, and 31P sites. When clusters are carefully designed to represent the local solid-state environment and when periodic calculations include sufficient variability, both methods predict magnetic-shielding tensors that agree well with experimental chemical-shift values, demonstrating the correspondence of the two computational techniques. At the basis-set limit, we find that the small differences in the computed values have no statistical significance for three of the four nuclides considered. Subsequently, we explore the effects of additional DFT methods available only with the GIAO/cluster approach, particularly the use of hybrid-GGA functionals, meta-GGA functionals, and hybrid meta-GGA functionals that demonstrate improved agreement in calculations on symmetry-adapted clusters. We demonstrate that meta-GGA functionals improve computed NMR parameters over those obtained by GGA functionals in all cases, and that hybrid functionals improve computed results over the respective pure DFT functional for all nuclides except 15N.
Local SIMPLE multi-atlas-based segmentation applied to lung lobe detection on chest CT
NASA Astrophysics Data System (ADS)
Agarwal, M.; Hendriks, E. A.; Stoel, B. C.; Bakker, M. E.; Reiber, J. H. C.; Staring, M.
2012-02-01
For multi atlas-based segmentation approaches, a segmentation fusion scheme which considers local performance measures may be more accurate than a method which uses a global performance measure. We improve upon an existing segmentation fusion method called SIMPLE and extend it to be localized and suitable for multi-labeled segmentations. We demonstrate the algorithm performance on 23 CT scans of COPD patients using a leave-one- out experiment. Our algorithm performs significantly better (p < 0.01) than majority voting, STAPLE, and SIMPLE, with a median overlap of the fissure of 0.45, 0.48, 0.55 and 0.6 for majority voting, STAPLE, SIMPLE, and the proposed algorithm, respectively.
Moving beyond Text Highlights: Inferring Users' Interests to Improve the Relevance of Retrieval
ERIC Educational Resources Information Center
Balakrishnan, Vimala; Mehmood, Yasir; Nagappan, Yoganathan
2016-01-01
Introduction: Studies have indicated that users' text highlighting behaviour can be further manipulated to improve the relevance of retrieved results. This article reports on a study that examined users' text highlight frequency, length and users' copy-paste actions. Method: A binary voting mechanism was employed to determine the weights for the…
ERIC Educational Resources Information Center
Lochner, Lance
2011-01-01
A growing body of work suggests that education offers a wide-range of benefits that extend beyond increases in labor market productivity. Improvements in education can lower crime, improve health, and increase voting and democratic participation. This chapter reviews recent developments on these "non-production" benefits of education with an…
Inflation in Einstein-Cartan theory with energy-momentum tensor with spin
NASA Technical Reports Server (NTRS)
Fennelly, A. J.; Bradas, James C.; Smalley, Larry L.
1988-01-01
Generalized, or power-law, inflation is shown to necessarily exist for a simple, anisotropic (Bianchi Type I) cosmology in the Einstein-Cartan gravitational theory with the Ray-Smalley (RS) improved energy-momentum tensor with spin. Formal solution of the EC field equations with the fluid equations of motion explicitly shows inflation caused by the RS spin angular kinetic energy density.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Sharma, Neelesh; Verma, R. C.; Dhir, Rohit
2011-01-01
In this paper, we investigate phenomenologically two-body weak decays of the bottom mesons emitting pseudoscalar/vector meson and a tensor meson. Form factors are obtained using the improved Isgur-Scora-Grinstein-Wise II model. Consequently, branching ratios for the Cabibbo-Kobayashi-Maskawa-favored and Cabibbo-Kobayashi-Maskawa-suppressed decays are calculated.
ERIC Educational Resources Information Center
Familiari, Giuseppe; Relucenti, Michela; Heyn, Rosemarie; Baldini, Rossella; D'Andrea, Giancarlo; Familiari, Pietro; Bozzao, Alessandro; Raco, Antonino
2013-01-01
Neuroanatomy is considered to be one of the most difficult anatomical subjects for students. To provide motivation and improve learning outcomes in this area, clinical cases and neurosurgical images from diffusion tensor imaging (DTI) tractographies produced using an intraoperative magnetic resonance imaging apparatus (MRI/DTI) were presented and…
75 FR 30386 - Sunshine Act Notice
Federal Register 2010, 2011, 2012, 2013, 2014
2010-06-01
... updates on Voting System Testing and Certification programs, including UOCAVA Pilot Program Voting Systems... Voting Systems Threat Analysis. The Board will receive updates on research and studies, including draft...
Quality monitored distributed voting system
Skogmo, D.
1997-03-18
A quality monitoring system can detect certain system faults and fraud attempts in a distributed voting system. The system uses decoy voters to cast predetermined check ballots. Absent check ballots can indicate system faults. Altered check ballots can indicate attempts at counterfeiting votes. The system can also cast check ballots at predetermined times to provide another check on the distributed voting system. 6 figs.
16 CFR 801.10 - Value of voting securities, non-corporate interests and assets to be acquired.
Code of Federal Regulations, 2010 CFR
2010-01-01
... 16 Commercial Practices 1 2010-01-01 2010-01-01 false Value of voting securities, non-corporate... ACT OF 1976 COVERAGE RULES § 801.10 Value of voting securities, non-corporate interests and assets to be acquired. Except as provided in § 801.13, the value of voting securities and assets to be acquired...
16 CFR 801.10 - Value of voting securities, non-corporate interests and assets to be acquired.
Code of Federal Regulations, 2011 CFR
2011-01-01
... 16 Commercial Practices 1 2011-01-01 2011-01-01 false Value of voting securities, non-corporate... ACT OF 1976 COVERAGE RULES § 801.10 Value of voting securities, non-corporate interests and assets to be acquired. Except as provided in § 801.13, the value of voting securities and assets to be acquired...
25 CFR 217.6 - Method of casting votes.
Code of Federal Regulations, 2010 CFR
2010-04-01
... 25 Indians 1 2010-04-01 2010-04-01 false Method of casting votes. 217.6 Section 217.6 Indians.... § 217.6 Method of casting votes. Within 30 days after an issue and any analysis provided for in §§ 217.4... superintendent in writing of the number of votes cast for and against the proposed or alternative solutions. If...
Code of Federal Regulations, 2011 CFR
2011-07-01
...) of the Voting Rights Act, as Amended Appendix to Part 51 Judicial Administration DEPARTMENT OF JUSTICE (CONTINUED) PROCEDURES FOR THE ADMINISTRATION OF SECTION 5 OF THE VOTING RIGHTS ACT OF 1965, AS AMENDED Pt. 51, App. Appendix to Part 51—Jurisdictions Covered Under Section 4(b) of the Voting Rights Act...
Code of Federal Regulations, 2010 CFR
2010-07-01
...) of the Voting Rights Act, as Amended Appendix to Part 51 Judicial Administration DEPARTMENT OF JUSTICE (CONTINUED) PROCEDURES FOR THE ADMINISTRATION OF SECTION 5 OF THE VOTING RIGHTS ACT OF 1965, AS AMENDED Pt. 51, App. Appendix to Part 51—Jurisdictions Covered Under Section 4(b) of the Voting Rights Act...
Diverging Life Expectancies and Voting Patterns in the 2016 US Presidential Election.
Bor, Jacob
2017-10-01
To assess whether voting patterns in the 2016 US presidential election were correlated with long-run trends in county life expectancy. I examined county-level voting data from the 2008 and 2016 presidential elections and assessed Donald Trump's share of the 2016 vote, change in the Republican vote share between 2008 and 2016, and changes in absolute numbers of Democratic and Republican votes. County-level estimates of life expectancy at birth were obtained for 1980 and 2014 from the Institute for Health Metrics and Evaluation. Changes in county life expectancy from 1980 to 2014 were strongly negatively associated with Trump's vote share, with less support for Trump in counties experiencing greater survival gains. Counties in which life expectancy stagnated or declined saw a 10-percentage-point increase in the Republican vote share between 2008 and 2016. Residents of counties left out from broader life expectancy gains abandoned the Democratic Party in the 2016 presidential election. Since coming to power, the Trump administration has proposed cuts to health insurance for the poor, social programs, health research, and environmental and worker protections, which are key determinants of population health. Health gaps likely will continue to widen without significant public investment in population health.
Human action recognition based on point context tensor shape descriptor
NASA Astrophysics Data System (ADS)
Li, Jianjun; Mao, Xia; Chen, Lijiang; Wang, Lan
2017-07-01
Motion trajectory recognition is one of the most important means to determine the identity of a moving object. A compact and discriminative feature representation method can improve the trajectory recognition accuracy. This paper presents an efficient framework for action recognition using a three-dimensional skeleton kinematic joint model. First, we put forward a rotation-scale-translation-invariant shape descriptor based on point context (PC) and the normal vector of hypersurface to jointly characterize local motion and shape information. Meanwhile, an algorithm for extracting the key trajectory based on the confidence coefficient is proposed to reduce the randomness and computational complexity. Second, to decrease the eigenvalue decomposition time complexity, a tensor shape descriptor (TSD) based on PC that can globally capture the spatial layout and temporal order to preserve the spatial information of each frame is proposed. Then, a multilinear projection process is achieved by tensor dynamic time warping to map the TSD to a low-dimensional tensor subspace of the same size. Experimental results show that the proposed shape descriptor is effective and feasible, and the proposed approach obtains considerable performance improvement over the state-of-the-art approaches with respect to accuracy on a public action dataset.
Johnston, Jessica C.; Iuliucci, Robbie J.; Facelli, Julio C.; Fitzgerald, George; Mueller, Karl T.
2009-01-01
In order to predict accurately the chemical shift of NMR-active nuclei in solid phase systems, magnetic shielding calculations must be capable of considering the complete lattice structure. Here we assess the accuracy of the density functional theory gauge-including projector augmented wave method, which uses pseudopotentials to approximate the nodal structure of the core electrons, to determine the magnetic properties of crystals by predicting the full chemical-shift tensors of all 13C nuclides in 14 organic single crystals from which experimental tensors have previously been reported. Plane-wave methods use periodic boundary conditions to incorporate the lattice structure, providing a substantial improvement for modeling the chemical shifts in hydrogen-bonded systems. Principal tensor components can now be predicted to an accuracy that approaches the typical experimental uncertainty. Moreover, methods that include the full solid-phase structure enable geometry optimizations to be performed on the input structures prior to calculation of the shielding. Improvement after optimization is noted here even when neutron diffraction data are used for determining the initial structures. After geometry optimization, the isotropic shift can be predicted to within 1 ppm. PMID:19831448
SMS texts on corruption help Ugandan voters hold elected councillors accountable at the polls.
Buntaine, Mark T; Jablonski, Ryan; Nielson, Daniel L; Pickering, Paula M
2018-06-11
Many politicians manipulate information to prevent voters from holding them accountable; however, mobile text messages may make it easier for nongovernmental organizations to credibly share information on official corruption that is difficult for politicians to counter directly. We test the potential for texts on budget management to improve democratic accountability by conducting a large ( n = 16,083) randomized controlled trial during the 2016 Ugandan district elections. In cooperation with a local partner, we compiled, simplified, and text-messaged official information on irregularities in local government budgets. Verified recipients of messages that described more irregularities than expected reported voting for incumbent councillors 6% less often; verified recipients of messages conveying fewer irregularities than expected reported voting for incumbent councillors 5% more often. The messages had no observable effect on votes for incumbent council chairs, potentially due to voters' greater reliance on other sources of information for higher profile elections. These mixed results suggest that text messages on budget corruption help voters hold some politicians accountable in settings where elections are not free and fair. Copyright © 2018 the Author(s). Published by PNAS.
Walking the walk? Experiments on the effect of pledging to vote on youth turnout
Prevost, Alicia
2018-01-01
Psychological theories of political behavior suggest that commitments to perform a certain action can significantly increase the likelihood of such action, but this has rarely been tested in an experimental context. Does pledging to vote increase turnout? In cooperation with the Environmental Defense Fund during the 2016 election, we conduct the first randomized controlled trials testing whether young people who pledge to vote are more likely to turn out than those who are contacted using standard Get-Out-the-Vote materials. Overall, pledging to vote increased voter turnout by 3.7 points among all subjects and 5.6 points for people who had never voted before. These findings lend support for theories of commitment and have practical implications for mobilization efforts aimed at expanding the electorate. PMID:29813075
NASA Astrophysics Data System (ADS)
Robinson, Robert; Tetzlaff, Doerthe
2012-10-01
On 4 October 2012, AGU members completed voting for the 2013-2014 leadership term. Union officers, Board members, section and focus group officers, and student and early career representatives to the Council were elected. All members who joined or renewed their membership by 1 July 2012 were eligible to vote in this year's leadership election. The vote was held electronically, and access to voting was provided to all eligible voters for a period of 31 days. The voting was conducted by Survey and Ballot Systems, Inc. (SBS). SBS, which offers election planning and management services, provided unique login credentials and other support services for eligible voters throughout the election. Voting results were certified by SBS on 8 October and by the AGU Tellers Committee on 9 October. The overall participation rate was 21.9%, an increase over previous AGU elections.
Affinity communities in United Nations voting: Implications for democracy, cooperation, and conflict
NASA Astrophysics Data System (ADS)
Pauls, Scott D.; Cranmer, Skyler J.
2017-10-01
A network oriented examination of the co-voting network of the United Nations (UN) provides powerful insights into the international alignment of states, as well as normatively important processes such as democracy, defensive cooperation, and armed conflict. Here, we investigate the UN co-voting network using the tools of community detection and inductively identify "affinity communities" in which states articulate similar policy preferences through their voting patterns. Analysis of these communities reveals that there is more information contained in UN voting and co-voting patterns than has previously been thought. Affinity communities have complex relationships with some of the most normatively important international outcomes: they reflect transitions to democracy, have a feedback loop with the formation of defensive alliances, and actively help states avoid armed conflict.
Legislator voting and behavioral science theory: a systematic review.
Tung, Gregory J; Vernick, Jon S; Reiney, Erin V; Gielen, Andrea C
2012-11-01
To examine the application of behavioral science theories to explain the voting behavior of legislators for public health policies. We conducted a systematic review to identify studies that examined factors associated with legislator support, intention to vote, or actual votes on public health policies, emphasizing those grounded in behavior science theory. Twenty-one papers met our inclusion criteria, and 6 were explicitly grounded in a behavioral science theory. Behavioral science theories, and the theory of planned behavior in particular, provide a framework for understanding legislator voting behavior and can be used by advocates to advance pro-health policies.
Code of Federal Regulations, 2014 CFR
2014-01-01
... provide for the succession of a voting trustee in the event of death, disability, resignation, termination of citizenship, or any other event leading to the replacement of any voting trustee. Upon succession...
Code of Federal Regulations, 2011 CFR
2011-01-01
...) of this section must provide for the succession of a voting trustee in the event of death, disability.... Upon succession, the replacement voting trustee shall immediately submit to the Registry the affidavit...
Code of Federal Regulations, 2012 CFR
2012-01-01
...) of this section must provide for the succession of a voting trustee in the event of death, disability.... Upon succession, the replacement voting trustee shall immediately submit to the Registry the affidavit...
Code of Federal Regulations, 2013 CFR
2013-01-01
... provide for the succession of a voting trustee in the event of death, disability, resignation, termination of citizenship, or any other event leading to the replacement of any voting trustee. Upon succession...
Parental Leave Legislation in the U.S. Senate: Toward a Model of Roll-Call Voting.
ERIC Educational Resources Information Center
Monroe, Pamela A.; Garand, James C.
1991-01-01
Developed and tested a model of roll-call voting by U.S. senators on a cloture motion relating to the Parental and Medical Leave Act of 1988. Senate roll-call voting was found to be dominated by policy liberalism and party, whereas the impact of contextual demand variables was relatively minor and indirect, and votes could be accurately predicted.…
Does Economic Education Make a Difference in Congress? How Economics Majors Vote on Trade
ERIC Educational Resources Information Center
O'Roark, J. Brian
2012-01-01
The author of this article expands the background theory of voting to incorporate the undergraduate majors of members of Congress. Examining nine votes on trade across the 109th and 110th Congresses reveals that economics majors are the only category of college major to vote in favor of free trade in a predictable way. Controls for a variety of…
Code of Federal Regulations, 2011 CFR
2011-07-01
...)(4) and 203(c) of the Voting Rights Act of 1965, as Amended Appendix to Part 55 Judicial Administration DEPARTMENT OF JUSTICE (CONTINUED) IMPLEMENTATION OF THE PROVISIONS OF THE VOTING RIGHTS ACT...)(4) and 203(c) of the Voting Rights Act of 1965, as Amended [Applicable language minority group(s...
2008 Post-Election Voting Survey of Overseas Citizens: Statistical Methodology Report
2009-08-01
Gorsak. Westat performed data collection and editing. DMDC’s Survey Technology Branch, under the guidance of Frederick Licari, Branch Chief, is...POST-ELECTION VOTING SURVEY OF OVERSEAS CITIZENS: STATISTICAL METHODOLOGY REPORT Executive Summary The Uniformed and Overseas Citizens Absentee ...ease the process of voting absentee , (3) to evaluate other progress made to facilitate voting participation, and (4) to identify any remaining
Gottlieb, Klaus; Hussain, Fez
2015-02-19
Independent central reading or off-site reading of imaging endpoints is increasingly used in clinical trials. Clinician-reported outcomes, such as endoscopic disease activity scores, have been shown to be subject to bias and random error. Central reading attempts to limit bias and improve accuracy of the assessment, two factors that are critical to trial success. Whether one central reader is sufficient and how to best integrate the input of more than one central reader into one output measure, is currently not known.In this concept paper we develop the theoretical foundations of a reading algorithm that can achieve both objectives without jeopardizing operational efficiency We examine the role of expert versus competent reader, frame scoring of imaging as a classification task, and propose a voting algorithm (VISA: Voting for Image Scoring and Assessment) as the most appropriate solution which could also be used to operationally define imaging gold standards. We propose two image readers plus an optional third reader in cases of disagreement (2 + 1) for ordinary scoring tasks. We argue that it is critical in trials with endoscopically determined endpoints to include the score determined by the site reader, at least in endoscopy clinical trials. Juries with more than 3 readers could define a reference standard that would allow a transition from measuring reader agreement to measuring reader accuracy. We support VISA by applying concepts from engineering (triple-modular redundancy) and voting theory (Condorcet's jury theorem) and illustrate our points with examples from inflammatory bowel disease trials, specifically, the endoscopy component of the Mayo Clinic Score of ulcerative colitis disease activity. Detailed flow-diagrams (pseudo-code) are provided that can inform program design.The VISA "2 + 1" reading algorithm, based on voting, can translate individual reader scores into a final score in a fashion that is both mathematically sound (by avoiding averaging of ordinal data) and in a manner that is consistent with the scoring task at hand (based on decisions about the presence or absence of features, a subjective classification task). While the VISA 2 + 1 algorithm is currently being used in clinical trials, empirical data of its performance have not yet been reported.
County community health associations of net voting shift in the 2016 U.S. presidential election
Stewart, Charles; Bhambhani, Vijeta
2017-01-01
Importance In the U.S. presidential election of 2016, substantial shift in voting patterns occurred relative to previous elections. Although this shift has been associated with both education and race, the extent to which this shift was related to public health status is unclear. Objective To determine the extent to which county community health was associated with changes in voting between the presidential elections of 2016 and 2012. Design Ecological study with principal component analysis (PCA) using principal axis method to extract the components, then generalized linear regression. Setting General community. Participants All counties in the United States. Exposures Physically unhealthy days, mentally unhealthy days, percent food insecure, teen birth rate, primary care physician visit rate, age-adjusted mortality rate, violent crime rate, average health care costs, percent diabetic, and percent overweight or obese. Main outcome The percentage of Donald Trump votes in 2016 minus percentage of Mitt Romney votes in 2012 (“net voting shift”). Results Complete public health data was available for 3,009 counties which were included in the analysis. The mean net voting shift was 5.4% (+/- 5.8%). Of these 3,009 counties, 2,641 (87.8%) had positive net voting shift (shifted towards Trump) and 368 counties (12.2%) had negative net voting shift (shifted away from Trump). The first principal component (“unhealthy score”) accounted for 68% of the total variance in the data. The unhealthy score included all health variables except primary care physician rate, violent crime rate, and health care costs. The mean unhealthy score for counties was 0.39 (SD 0.16). Higher normalized unhealthy score was associated with positive net voting shift (22.1% shift per unit unhealthy, p < 0.0001). This association was stronger in states that switched Electoral College votes from 2012 to 2016 than in other states (5.9% per unit unhealthy, p <0.0001). Conclusions and relevance Substantial association exists between a shift toward voting for Donald Trump in 2016 relative to Mitt Romney in 2012 and measures of poor public health. Although these results do not demonstrate causality, these results suggest a possible role for health status in political choices. PMID:28968415
County community health associations of net voting shift in the 2016 U.S. presidential election.
Wasfy, Jason H; Stewart, Charles; Bhambhani, Vijeta
2017-01-01
In the U.S. presidential election of 2016, substantial shift in voting patterns occurred relative to previous elections. Although this shift has been associated with both education and race, the extent to which this shift was related to public health status is unclear. To determine the extent to which county community health was associated with changes in voting between the presidential elections of 2016 and 2012. Ecological study with principal component analysis (PCA) using principal axis method to extract the components, then generalized linear regression. General community. All counties in the United States. Physically unhealthy days, mentally unhealthy days, percent food insecure, teen birth rate, primary care physician visit rate, age-adjusted mortality rate, violent crime rate, average health care costs, percent diabetic, and percent overweight or obese. The percentage of Donald Trump votes in 2016 minus percentage of Mitt Romney votes in 2012 ("net voting shift"). Complete public health data was available for 3,009 counties which were included in the analysis. The mean net voting shift was 5.4% (+/- 5.8%). Of these 3,009 counties, 2,641 (87.8%) had positive net voting shift (shifted towards Trump) and 368 counties (12.2%) had negative net voting shift (shifted away from Trump). The first principal component ("unhealthy score") accounted for 68% of the total variance in the data. The unhealthy score included all health variables except primary care physician rate, violent crime rate, and health care costs. The mean unhealthy score for counties was 0.39 (SD 0.16). Higher normalized unhealthy score was associated with positive net voting shift (22.1% shift per unit unhealthy, p < 0.0001). This association was stronger in states that switched Electoral College votes from 2012 to 2016 than in other states (5.9% per unit unhealthy, p <0.0001). Substantial association exists between a shift toward voting for Donald Trump in 2016 relative to Mitt Romney in 2012 and measures of poor public health. Although these results do not demonstrate causality, these results suggest a possible role for health status in political choices.
The Political Gender Gap: Gender Bias in Facial Inferences that Predict Voting Behavior
Chiao, Joan Y.; Bowman, Nicholas E.; Gill, Harleen
2008-01-01
Background Throughout human history, a disproportionate degree of political power around the world has been held by men. Even in democracies where the opportunity to serve in top political positions is available to any individual elected by the majority of their constituents, most of the highest political offices are occupied by male leaders. What psychological factors underlie this political gender gap? Contrary to the notion that people use deliberate, rational strategies when deciding whom to vote for in major political elections, research indicates that people use shallow decision heuristics, such as impressions of competence solely from a candidate's facial appearance, when deciding whom to vote for. Because gender has previously been shown to affect a number of inferences made from the face, here we investigated the hypothesis that gender of both voter and candidate affects the kinds of facial impressions that predict voting behavior. Methodology/Principal Finding Male and female voters judged a series of male and female political candidates on how competent, dominant, attractive and approachable they seemed based on their facial appearance. Then they saw a series of pairs of political candidates and decided which politician they would vote for in a hypothetical election for President of the United States. Results indicate that both gender of voter and candidate affect the kinds of facial impressions that predict voting behavior. All voters are likely to vote for candidates who appear more competent. However, male candidates that appear more approachable and female candidates who appear more attractive are more likely to win votes. In particular, men are more likely to vote for attractive female candidates whereas women are more likely to vote for approachable male candidates. Conclusions/Significance Here we reveal gender biases in the intuitive heuristics that voters use when deciding whom to vote for in major political elections. Our findings underscore the impact of gender and physical appearance on shaping voter decision-making and provide novel insight into the psychological foundations underlying the political gender gap. PMID:18974841
The political gender gap: gender bias in facial inferences that predict voting behavior.
Chiao, Joan Y; Bowman, Nicholas E; Gill, Harleen
2008-01-01
Throughout human history, a disproportionate degree of political power around the world has been held by men. Even in democracies where the opportunity to serve in top political positions is available to any individual elected by the majority of their constituents, most of the highest political offices are occupied by male leaders. What psychological factors underlie this political gender gap? Contrary to the notion that people use deliberate, rational strategies when deciding whom to vote for in major political elections, research indicates that people use shallow decision heuristics, such as impressions of competence solely from a candidate's facial appearance, when deciding whom to vote for. Because gender has previously been shown to affect a number of inferences made from the face, here we investigated the hypothesis that gender of both voter and candidate affects the kinds of facial impressions that predict voting behavior. Male and female voters judged a series of male and female political candidates on how competent, dominant, attractive and approachable they seemed based on their facial appearance. Then they saw a series of pairs of political candidates and decided which politician they would vote for in a hypothetical election for President of the United States. Results indicate that both gender of voter and candidate affect the kinds of facial impressions that predict voting behavior. All voters are likely to vote for candidates who appear more competent. However, male candidates that appear more approachable and female candidates who appear more attractive are more likely to win votes. In particular, men are more likely to vote for attractive female candidates whereas women are more likely to vote for approachable male candidates. Here we reveal gender biases in the intuitive heuristics that voters use when deciding whom to vote for in major political elections. Our findings underscore the impact of gender and physical appearance on shaping voter decision-making and provide novel insight into the psychological foundations underlying the political gender gap.
Efficient calculation of nuclear spin-rotation constants from auxiliary density functional theory.
Zuniga-Gutierrez, Bernardo; Camacho-Gonzalez, Monica; Bendana-Castillo, Alfonso; Simon-Bastida, Patricia; Calaminici, Patrizia; Köster, Andreas M
2015-09-14
The computation of the spin-rotation tensor within the framework of auxiliary density functional theory (ADFT) in combination with the gauge including atomic orbital (GIAO) scheme, to treat the gauge origin problem, is presented. For the spin-rotation tensor, the calculation of the magnetic shielding tensor represents the most demanding computational task. Employing the ADFT-GIAO methodology, the central processing unit time for the magnetic shielding tensor calculation can be dramatically reduced. In this work, the quality of spin-rotation constants obtained with the ADFT-GIAO methodology is compared with available experimental data as well as with other theoretical results at the Hartree-Fock and coupled-cluster level of theory. It is found that the agreement between the ADFT-GIAO results and the experiment is good and very similar to the ones obtained by the coupled-cluster single-doubles-perturbative triples-GIAO methodology. With the improved computational performance achieved, the computation of the spin-rotation tensors of large systems or along Born-Oppenheimer molecular dynamics trajectories becomes feasible in reasonable times. Three models of carbon fullerenes containing hundreds of atoms and thousands of basis functions are used for benchmarking the performance. Furthermore, a theoretical study of temperature effects on the structure and spin-rotation tensor of the H(12)C-(12)CH-DF complex is presented. Here, the temperature dependency of the spin-rotation tensor of the fluorine nucleus can be used to identify experimentally the so far unknown bent isomer of this complex. To the best of our knowledge this is the first time that temperature effects on the spin-rotation tensor are investigated.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Zuniga-Gutierrez, Bernardo, E-mail: bzuniga.51@gmail.com; Camacho-Gonzalez, Monica; Bendana-Castillo, Alfonso
The computation of the spin-rotation tensor within the framework of auxiliary density functional theory (ADFT) in combination with the gauge including atomic orbital (GIAO) scheme, to treat the gauge origin problem, is presented. For the spin-rotation tensor, the calculation of the magnetic shielding tensor represents the most demanding computational task. Employing the ADFT-GIAO methodology, the central processing unit time for the magnetic shielding tensor calculation can be dramatically reduced. In this work, the quality of spin-rotation constants obtained with the ADFT-GIAO methodology is compared with available experimental data as well as with other theoretical results at the Hartree-Fock and coupled-clustermore » level of theory. It is found that the agreement between the ADFT-GIAO results and the experiment is good and very similar to the ones obtained by the coupled-cluster single-doubles-perturbative triples-GIAO methodology. With the improved computational performance achieved, the computation of the spin-rotation tensors of large systems or along Born-Oppenheimer molecular dynamics trajectories becomes feasible in reasonable times. Three models of carbon fullerenes containing hundreds of atoms and thousands of basis functions are used for benchmarking the performance. Furthermore, a theoretical study of temperature effects on the structure and spin-rotation tensor of the H{sup 12}C–{sup 12}CH–DF complex is presented. Here, the temperature dependency of the spin-rotation tensor of the fluorine nucleus can be used to identify experimentally the so far unknown bent isomer of this complex. To the best of our knowledge this is the first time that temperature effects on the spin-rotation tensor are investigated.« less
Q-space trajectory imaging for multidimensional diffusion MRI of the human brain
Westin, Carl-Fredrik; Knutsson, Hans; Pasternak, Ofer; Szczepankiewicz, Filip; Özarslan, Evren; van Westen, Danielle; Mattisson, Cecilia; Bogren, Mats; O’Donnell, Lauren; Kubicki, Marek; Topgaard, Daniel; Nilsson, Markus
2016-01-01
This work describes a new diffusion MR framework for imaging and modeling of microstructure that we call q-space trajectory imaging (QTI). The QTI framework consists of two parts: encoding and modeling. First we propose q-space trajectory encoding, which uses time-varying gradients to probe a trajectory in q-space, in contrast to traditional pulsed field gradient sequences that attempt to probe a point in q-space. Then we propose a microstructure model, the diffusion tensor distribution (DTD) model, which takes advantage of additional information provided by QTI to estimate a distributional model over diffusion tensors. We show that the QTI framework enables microstructure modeling that is not possible with the traditional pulsed gradient encoding as introduced by Stejskal and Tanner. In our analysis of QTI, we find that the well-known scalar b-value naturally extends to a tensor-valued entity, i.e., a diffusion measurement tensor, which we call the b-tensor. We show that b-tensors of rank 2 or 3 enable estimation of the mean and covariance of the DTD model in terms of a second order tensor (the diffusion tensor) and a fourth order tensor. The QTI framework has been designed to improve discrimination of the sizes, shapes, and orientations of diffusion microenvironments within tissue. We derive rotationally invariant scalar quantities describing intuitive microstructural features including size, shape, and orientation coherence measures. To demonstrate the feasibility of QTI on a clinical scanner, we performed a small pilot study comparing a group of five healthy controls with five patients with schizophrenia. The parameter maps derived from QTI were compared between the groups, and 9 out of the 14 parameters investigated showed differences between groups. The ability to measure and model the distribution of diffusion tensors, rather than a quantity that has already been averaged within a voxel, has the potential to provide a powerful paradigm for the study of complex tissue architecture. PMID:26923372
Obtaining orthotropic elasticity tensor using entries zeroing method.
NASA Astrophysics Data System (ADS)
Gierlach, Bartosz; Danek, Tomasz
2017-04-01
A generally anisotropic elasticity tensor obtained from measurements can be represented by a tensor belonging to one of eight material symmetry classes. Knowledge of symmetry class and orientation is helpful for describing physical properties of a medium. For each non-trivial symmetry class except isotropic this problem is nonlinear. A common method of obtaining effective tensor is a choosing its non-trivial symmetry class and minimizing Frobenius norm between measured and effective tensor in the same coordinate system. Global optimization algorithm has to be used to determine the best rotation of a tensor. In this contribution, we propose a new approach to obtain optimal tensor, with the assumption that it is orthotropic (or at least has a similar shape to the orthotropic one). In orthotropic form tensor 24 out of 36 entries are zeros. The idea is to minimize the sum of squared entries which are supposed to be equal to zero through rotation calculated with optimization algorithm - in this case Particle Swarm Optimization (PSO) algorithm. Quaternions were used to parametrize rotations in 3D space to improve computational efficiency. In order to avoid a choice of local minima we apply PSO several times and only if we obtain similar results for the third time we consider it as a correct value and finish computations. To analyze obtained results Monte-Carlo method was used. After thousands of single runs of PSO optimization, we obtained values of quaternion parts and plot them. Points concentrate in several points of the graph following the regular pattern. It suggests the existence of more complex symmetry in the analyzed tensor. Then thousands of realizations of generally anisotropic tensor were generated - each tensor entry was replaced with a random value drawn from normal distribution having a mean equal to measured tensor entry and standard deviation of the measurement. Each of these tensors was subject of PSO based optimization delivering quaternion for optimal rotation. Computations were parallelized with OpenMP to decrease computational time what enables different tensors to be processed by different threads. As a result the distributions of rotated tensor entries values were obtained. For the entries which were to be zeroed we can observe almost normal distributions having mean equal to zero or sum of two normal distributions having inverse means. Non-zero entries represent different distributions with two or three maxima. Analysis of obtained results shows that described method produces consistent values of quaternions used to rotate tensors. Despite of less complex target function in a process of optimization in comparison to common approach, entries zeroing method provides results which can be applied to obtain an orthotropic tensor with good reliability. Modification of the method can produce also a tool for obtaining effective tensors belonging to another symmetry classes. This research was supported by the Polish National Science Center under contract No. DEC-2013/11/B/ST10/0472.
Grande, David; Asch, David A; Armstrong, Katrina
2007-05-01
Organizational leaders and scholars have issued calls for the medical profession to refocus its efforts on fulfilling the core tenets of professionalism. A key element of professionalism is participation in community affairs. To measure physician voting rates as an indicator of civic participation. Cross-sectional survey of a subgroup of physicians from a nationally representative household survey of civilian, noninstitutionalized adult citizens. A total of 350,870 participants in the Current Population Survey (CPS) November Voter Supplement from 1996-2002, including 1,274 physicians and 1,886 lawyers; 414,989 participants in the CPS survey from 1976-1982, including 2,033 health professionals. Multivariate logistic regression models were used to compare adjusted physician voting rates in the 1996-2002 congressional and presidential elections with those of lawyers and the general population and to compare voting rates of health professionals in 1996-2002 with those in 1976-1992. After multivariate adjustment for characteristics known to be associated with voting rates, physicians were less likely to vote than the general population in 1998 (odds ratio 0.76; 95% confidence interval [CI] 0.59-0.99), 2000 (odds ratio 0.64; 95% CI 0.44-0.93), and 2002 (odds ratio 0.62; 95% CI 0.48-0.80) but not 1996 (odds ratio 0.83; 95% CI 0.59-1.17). Lawyers voted at higher rates than the general population and doctors in all four elections (P < .001). The pooled adjusted odds ratio for physician voting across the four elections was 0.70 (CI 0.61-0.81). No substantial changes in voting rates for health professionals were observed between 1976-1982 and 1996-2002. Physicians have lower adjusted voting rates than lawyers and the general population, suggesting reduced civic participation.
Ghodsi, Seyed Hamed; Kerachian, Reza; Zahmatkesh, Zahra
2016-04-15
In this paper, an integrated framework is proposed for urban runoff management. To control and improve runoff quality and quantity, Low Impact Development (LID) practices are utilized. In order to determine the LIDs' areas and locations, the Non-dominated Sorting Genetic Algorithm-II (NSGA-II), which considers three objective functions of minimizing runoff volume, runoff pollution and implementation cost of LIDs, is utilized. In this framework, the Storm Water Management Model (SWMM) is used for stream flow simulation. The non-dominated solutions provided by the NSGA-II are considered as management scenarios. To select the most preferred scenario, interactions among the main stakeholders in the study area with conflicting utilities are incorporated by utilizing bargaining models including a non-cooperative game, Nash model and social choice procedures of Borda count and approval voting. Moreover, a new social choice procedure, named pairwise voting method, is proposed and applied. Based on each conflict resolution approach, a scenario is identified as the ideal solution providing the LIDs' areas, locations and implementation cost. The proposed framework is applied for urban water quality and quantity management in the northern part of Tehran metropolitan city, Iran. Results show that the proposed pairwise voting method tends to select a scenario with a higher percentage of reduction in TSS (Total Suspended Solid) load and runoff volume, in comparison with the Borda count and approval voting methods. Besides, the Nash method presents a management scenario with the highest cost for LIDs' implementation and the maximum values for percentage of runoff volume reduction and TSS removal. The results also signify that selection of an appropriate management scenario by stakeholders in the study area depends on the available financial resources and the relative importance of runoff quality improvement in comparison with reducing the runoff volume. Copyright © 2016 Elsevier B.V. All rights reserved.
Potential follow-up increases private contributions to public goods.
Rogers, Todd; Ternovski, John; Yoeli, Erez
2016-05-10
People contribute more to public goods when their contributions are made more observable to others. We report an intervention that subtly increases the observability of public goods contributions when people are solicited privately and impersonally (e.g., mail, email, social media). This intervention is tested in a large-scale field experiment (n = 770,946) in which people are encouraged to vote through get-out-the-vote letters. We vary whether the letters include the message, "We may call you after the election to ask about your voting experience." Increasing the perceived observability of whether people vote by including that message increased the impact of the get-out-the-vote letters by more than the entire effect of a typical get-out-the-vote letter. This technique for increasing perceived observability can be replicated whenever public goods solicitations are made in private.
NASA Astrophysics Data System (ADS)
Liu, Jianfei; Dubra, Alfredo; Tam, Johnny
2016-03-01
Cone photoreceptors are highly specialized cells responsible for the origin of vision in the human eye. Their inner segments can be noninvasively visualized using adaptive optics scanning light ophthalmoscopes (AOSLOs) with nonconfocal split detection capabilities. Monitoring the number of cones can lead to more precise metrics for real-time diagnosis and assessment of disease progression. Cell identification in split detection AOSLO images is hindered by cell regions with heterogeneous intensity arising from shadowing effects and low contrast boundaries due to overlying blood vessels. Here, we present a multi-scale circular voting approach to overcome these challenges through the novel combination of: 1) iterative circular voting to identify candidate cells based on their circular structures, 2) a multi-scale strategy to identify the optimal circular voting response, and 3) clustering to improve robustness while removing false positives. We acquired images from three healthy subjects at various locations on the retina and manually labeled cell locations to create ground-truth for evaluating the detection accuracy. The images span a large range of cell densities. The overall recall, precision, and F1 score were 91±4%, 84±10%, and 87±7% (Mean±SD). Results showed that our method for the identification of cone photoreceptor inner segments performs well even with low contrast cell boundaries and vessel obscuration. These encouraging results demonstrate that the proposed approach can robustly and accurately identify cells in split detection AOSLO images.
Dereymaeker, Anneleen; Ansari, Amir H; Jansen, Katrien; Cherian, Perumpillichira J; Vervisch, Jan; Govaert, Paul; De Wispelaere, Leen; Dielman, Charlotte; Matic, Vladimir; Dorado, Alexander Caicedo; De Vos, Maarten; Van Huffel, Sabine; Naulaers, Gunnar
2017-09-01
To assess interrater agreement based on majority voting in visual scoring of neonatal seizures. An online platform was designed based on a multicentre seizure EEG-database. Consensus decision based on 'majority voting' and interrater agreement was estimated using Fleiss' Kappa. The influences of different factors on agreement were determined. 1919 Events extracted from 280h EEG of 71 neonates were reviewed by 4 raters. Majority voting was applied to assign a seizure/non-seizure classification. 44% of events were classified with high, 36% with moderate, and 20% with poor agreement, resulting in a Kappa value of 0.39. 68% of events were labelled as seizures, and in 46%, all raters were convinced about electrographic seizures. The most common seizure duration was <30s. Raters agreed best for seizures lasting 60-120s. There was a significant difference in electrographic characteristics of seizures versus dubious events, with seizures having longer duration, higher power and amplitude. There is a wide variability in identifying rhythmic ictal and non-ictal EEG events, and only the most robust ictal patterns are consistently agreed upon. Database composition and electrographic characteristics are important factors that influence interrater agreement. The use of well-described databases and input of different experts will improve neonatal EEG interpretation and help to develop uniform seizure definitions, useful for evidence-based studies of seizure recognition and management. Copyright © 2017 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.
2010-03-01
the political process. This thesis will examine how two major immigrant destination states within the European Union extend voting rights to...PAGES 77 14. SUBJECT TERMS Germany, Sweden, European Union , Voting rights, Franchise, Citizenship, Immigration, Immigrant, Migration, Nationalism 16...within the European Union extend voting rights to immigrants from outside the EU. These will be Germany and Sweden. The thesis concludes that the
Programming Methodology for High Performance Applications on Tiled Architectures
2009-06-01
members, both voting and non- voting ; • A page of links, including links to all available PCA home pages, the home pages of other DARPA programs of...HPEC-SI); and • Organizational information on the Morphware Forum, such as membership requirements and voting procedures. The web site was the...The following organizations are voting members of the Morphware Forum at this writing: o Defense Advanced Research Projects Agency o Georgia
Code of Federal Regulations, 2010 CFR
2010-07-01
...)(4) and 203(c) of the Voting Rights Act of 1965, as Amended Appendix to Part 55 Judicial Administration DEPARTMENT OF JUSTICE (CONTINUED) IMPLEMENTATION OF THE PROVISIONS OF THE VOTING RIGHTS ACT...)(4) and 203(c) of the Voting Rights Act of 1965, as Amended Jurisdictions Covered Under Sections 4(f...
ERIC Educational Resources Information Center
Crowley, Ryan M.
2013-01-01
The author utilized Critical Race Theory (CRT) to examine the passage of the US Voting Rights Act (VRA) of 1965 in an effort to disrupt the simplistic, uncritical understandings of the US Civil Rights Movement common to school texts while also arguing for the ongoing importance of the VRA in a time when voting rights for people of color are under…
The Uniformed and Overseas Citizens Absentee Voting Act: Overview and Issues
2009-05-29
action officers to perform voting assistance duties; establish procedures to ensure a postmark or proof of mailing date on absentee ballots; requires...CRS Report for Congress Prepared for Members and Committees of Congress The Uniformed and Overseas Citizens Absentee Voting Act...TYPE 3. DATES COVERED 00-00-2009 to 00-00-2009 4. TITLE AND SUBTITLE The Uniformed and Overseas Citizens Absentee Voting Act: Overview and
The Uniformed and Overseas Citizens Absentee Voting Act: Background and Issues
2003-01-30
action officers to perform voting assistance duties; establish procedures to ensure a postmark or proof of mailing date on absentee ballots; requires...2003 The Uniformed and Overseas Citizens Absentee Voting Act: Background and Issues Kevin J. Coleman Analyst in American National Government...Government and Finance Division Summary Members of the military and U.S. citizens who live abroad are eligible to register and vote absentee in federal
Van der Kelen, Christophe; Göransson, Peter
2013-12-01
The flow resistivity tensor, which is the inverse of the viscous permeability tensor, is one of the most important material properties for the acoustic performance of porous materials used in acoustic treatments. Due to the manufacturing processes involved, these porous materials are most often geometrically anisotropic on a microscopic scale, and for demanding applications, there is a need for improved characterization methods. This paper discusses recent refinements of a method for the identification of the anisotropic flow resistivity tensor. The inverse estimation is verified for three fictitious materials with different degrees of anisotropy. Measurements are performed on nine glass wool samples and seven melamine foam samples, and the anisotropic flow resistivity tensors obtained are validated by comparison to measurements performed on uni-directional cylindrical samples, extracted from the same, previously measured cubic samples. The variability of flow resistivity in the batch of material from which the glass wool is extracted is discussed. The results for the melamine foam suggest that there is a relation between the direction of highest flow resistivity, and the rise direction of the material.
Diverging Life Expectancies and Voting Patterns in the 2016 US Presidential Election
2017-01-01
Objectives. To assess whether voting patterns in the 2016 US presidential election were correlated with long-run trends in county life expectancy. Methods. I examined county-level voting data from the 2008 and 2016 presidential elections and assessed Donald Trump’s share of the 2016 vote, change in the Republican vote share between 2008 and 2016, and changes in absolute numbers of Democratic and Republican votes. County-level estimates of life expectancy at birth were obtained for 1980 and 2014 from the Institute for Health Metrics and Evaluation. Results. Changes in county life expectancy from 1980 to 2014 were strongly negatively associated with Trump’s vote share, with less support for Trump in counties experiencing greater survival gains. Counties in which life expectancy stagnated or declined saw a 10-percentage-point increase in the Republican vote share between 2008 and 2016. Conclusions. Residents of counties left out from broader life expectancy gains abandoned the Democratic Party in the 2016 presidential election. Since coming to power, the Trump administration has proposed cuts to health insurance for the poor, social programs, health research, and environmental and worker protections, which are key determinants of population health. Health gaps likely will continue to widen without significant public investment in population health. PMID:28817322
Laukkanen, Sanna; Kangas, Annika; Kangas, Jyrki
2002-02-01
Voting theory has a lot in common with utility theory, and especially with group decision-making. An expected-utility-maximising strategy exists in voting situations, as well as in decision-making situations. Therefore, it is natural to utilise the achievements of voting theory also in group decision-making. Most voting systems are based on a single criterion or holistic preference information on decision alternatives. However, a voting scheme called multicriteria approval is specially developed for decision-making situations with multiple criteria. This study considers the voting theory from the group decision support point of view and compares it with some other methods applied to similar purposes in natural resource management. A case study is presented, where the approval voting approach is introduced to natural resources planning and tested in a forestry group decision-making process. Applying multicriteria approval method was found to be a potential approach for handling some challenges typical for forestry group decision support. These challenges include (i) utilising ordinal information in the evaluation of decision alternatives, (ii) being readily understandable for and treating equally all the stakeholders in possession of different levels of knowledge on the subject considered, (iii) fast and cheap acquisition of preference information from several stakeholders, and (iv) dealing with multiple criteria.
Prosperini, Luca; Fanelli, Fulvia; Petsas, Nikolaos; Sbardella, Emilia; Tona, Francesca; Raz, Eytan; Fortuna, Deborah; De Angelis, Floriana; Pozzilli, Carlo; Pantano, Patrizia
2014-11-01
To determine if high-intensity, task-oriented, visual feedback training with a video game balance board (Nintendo Wii) induces significant changes in diffusion-tensor imaging ( DTI diffusion-tensor imaging ) parameters of cerebellar connections and other supratentorial associative bundles and if these changes are related to clinical improvement in patients with multiple sclerosis. The protocol was approved by local ethical committee; each participant provided written informed consent. In this 24-week, randomized, two-period crossover pilot study, 27 patients underwent static posturography and brain magnetic resonance (MR) imaging at study entry, after the first 12-week period, and at study termination. Thirteen patients started a 12-week training program followed by a 12-week period without any intervention, while 14 patients received the intervention in reverse order. Fifteen healthy subjects also underwent MR imaging once and underwent static posturography. Virtual dissection of white matter tracts was performed with streamline tractography; values of DTI diffusion-tensor imaging parameters were then obtained for each dissected tract. Repeated measures analyses of variance were performed to evaluate whether DTI diffusion-tensor imaging parameters significantly changed after intervention, with false discovery rate correction for multiple hypothesis testing. There were relevant differences between patients and healthy control subjects in postural sway and DTI diffusion-tensor imaging parameters (P < .05). Significant main effects of time by group interaction for fractional anisotropy and radial diffusivity of the left and right superior cerebellar peduncles were found (F2,23 range, 5.555-3.450; P = .036-.088 after false discovery rate correction). These changes correlated with objective measures of balance improvement detected at static posturography (r = -0.381 to 0.401, P < .05). However, both clinical and DTI diffusion-tensor imaging changes did not persist beyond 12 weeks after training. Despite the low statistical power (35%) due to the small sample size, the results showed that training with the balance board system modified the microstructure of superior cerebellar peduncles. The clinical improvement observed after training might be mediated by enhanced myelination-related processes, suggesting that high-intensity, task-oriented exercises could induce favorable microstructural changes in the brains of patients with multiple sclerosis.
25 CFR 81.18 - Manner of voting.
Code of Federal Regulations, 2010 CFR
2010-04-01
... STATUTE § 81.18 Manner of voting. (a) Registered voters may vote by arriving at the appropriate polling... approved. (c) The election board may choose not to use polling places and provide for the issuance and...
VOTE: Military and Overseas Voters
Absentee Voting Week WASHINGTON, Sept. 27, 2010 - The Department of Defense announced Absentee Voting Week Photos Week In Photos Videos DIMOC DOD/Military Seals DoD Flickr Secretary of Defense Flickr Deputy
28 CFR 51.17 - Special elections.
Code of Federal Regulations, 2011 CFR
2011-07-01
... THE VOTING RIGHTS ACT OF 1965, AS AMENDED General Provisions § 51.17 Special elections. (a) The... change in a practice or procedure that affects voting may submit the change to be voted on at the same...
28 CFR 51.17 - Special elections.
Code of Federal Regulations, 2010 CFR
2010-07-01
... THE VOTING RIGHTS ACT OF 1965, AS AMENDED General Provisions § 51.17 Special elections. (a) The... change in a practice or procedure that affects voting may submit the change to be voted on at the same...
Robust photometric invariant features from the color tensor.
van de Weijer, Joost; Gevers, Theo; Smeulders, Arnold W M
2006-01-01
Luminance-based features are widely used as low-level input for computer vision applications, even when color data is available. The extension of feature detection to the color domain prevents information loss due to isoluminance and allows us to exploit the photometric information. To fully exploit the extra information in the color data, the vector nature of color data has to be taken into account and a sound framework is needed to combine feature and photometric invariance theory. In this paper, we focus on the structure tensor, or color tensor, which adequately handles the vector nature of color images. Further, we combine the features based on the color tensor with photometric invariant derivatives to arrive at photometric invariant features. We circumvent the drawback of unstable photometric invariants by deriving an uncertainty measure to accompany the photometric invariant derivatives. The uncertainty is incorporated in the color tensor, hereby allowing the computation of robust photometric invariant features. The combination of the photometric invariance theory and tensor-based features allows for detection of a variety of features such as photometric invariant edges, corners, optical flow, and curvature. The proposed features are tested for noise characteristics and robustness to photometric changes. Experiments show that the proposed features are robust to scene incidental events and that the proposed uncertainty measure improves the applicability of full invariants.
Alternative majority-voting methods for real-time computing systems
NASA Technical Reports Server (NTRS)
Shin, Kang G.; Dolter, James W.
1989-01-01
Two techniques that provide a compromise between the high time overhead in maintaining synchronous voting and the difficulty of combining results in asynchronous voting are proposed. These techniques are specifically suited for real-time applications with a single-source/single-sink structure that need instantaneous error masking. They provide a compromise between a tightly synchronized system in which the synchronization overhead can be quite high, and an asynchronous system which lacks suitable algorithms for combining the output data. Both quorum-majority voting (QMV) and compare-majority voting (CMV) are most applicable to distributed real-time systems with single-source/single-sink tasks. All real-time systems eventually have to resolve their outputs into a single action at some stage. The development of the advanced information processing system (AIPS) and other similar systems serve to emphasize the importance of these techniques. Time bounds suggest that it is possible to reduce the overhead for quorum-majority voting to below that for synchronous voting. All the bounds assume that the computation phase is nonpreemptive and that there is no multitasking.
Brain indices of disagreement with one’s social values predict EU referendum voting behavior
Sirota, Miroslav; Materassi, Maurizio; Zaninotto, Francesca; Terry, Philip
2017-01-01
Abstract Pre-electoral surveys typically attempt, and sometimes fail, to predict voting behavior on the basis of explicit measures of agreement or disagreement with a candidate or political position. Here, we assessed whether a specific brain signature of disagreement with one’s social values, the event-related potential component N400, could be predictive of voting behavior. We examined this possibility in the context of the EU referendum in the UK. In the 5 weeks preceding the referendum, we recorded the N400 while participants with different vote intentions expressed their agreement or disagreement with pro- and against-EU statements. We showed that the N400 responded to statements incongruent with one’s view regarding the EU. Crucially, this effect predicted actual voting behavior in decided as well as undecided voters. The N400 was a better predictor of voting choice than an explicit index of preference based on the behavioral responses. Our findings demonstrate that well-defined patterns of brain activity can forecast future voting behavior. PMID:28981799
ERIC Educational Resources Information Center
Fogg, Piper
2006-01-01
Bad relationships between a college board and its faculty can lead to erosion of the board's authority, faculty votes of no confidence, and general institutional instability. However, institutions like Randolph-Macon College are finding ways to improve the lack of understanding and sympathy between faculty members and trustees.
49 CFR 1013.1 - The independence of the trustee of a voting trust.
Code of Federal Regulations, 2012 CFR
2012-10-01
... corporate securities constitute the corpus of the trust. (e) The trustee should be entitled to receive cash... of voting securities is purchased. (b) In voting the trusteed stock, the trustee should maintain...
49 CFR 1013.1 - The independence of the trustee of a voting trust.
Code of Federal Regulations, 2010 CFR
2010-10-01
... corporate securities constitute the corpus of the trust. (e) The trustee should be entitled to receive cash... of voting securities is purchased. (b) In voting the trusteed stock, the trustee should maintain...
49 CFR 1013.1 - The independence of the trustee of a voting trust.
Code of Federal Regulations, 2013 CFR
2013-10-01
... corporate securities constitute the corpus of the trust. (e) The trustee should be entitled to receive cash... of voting securities is purchased. (b) In voting the trusteed stock, the trustee should maintain...
49 CFR 1013.1 - The independence of the trustee of a voting trust.
Code of Federal Regulations, 2011 CFR
2011-10-01
... corporate securities constitute the corpus of the trust. (e) The trustee should be entitled to receive cash... of voting securities is purchased. (b) In voting the trusteed stock, the trustee should maintain...
49 CFR 1013.1 - The independence of the trustee of a voting trust.
Code of Federal Regulations, 2014 CFR
2014-10-01
... corporate securities constitute the corpus of the trust. (e) The trustee should be entitled to receive cash... of voting securities is purchased. (b) In voting the trusteed stock, the trustee should maintain...
2008 Post-Election Voting Survey of Federal Civilians Overseas: Statistical Methodology Report
2009-08-01
Westat, Inc. developed weights for this survey. Westat performed data collection and editing. DMDC’s Survey Technology Branch, under the guidance...Summary The Uniformed and Overseas Citizens Absentee Voting Act of 1986 (UOCAVA), 42 USC 1973ff, permits members of the Uniformed Services and...assess the impact of the FVAP’s efforts to simplify and ease the process of voting absentee , (3) to evaluate other progress made to facilitate voting
Janke, Stefan; Greifeneder, Rainer
2017-01-01
A popular initiative in support of regulating future immigration to Switzerland was accepted by the electorate in 2014. Assuming that the initiative acted as an exclusionary threat for current immigrants of Switzerland, we conducted an online survey among a sample of highly-skilled German-speaking immigrants (“expats”). Participants reported having experienced negative affect following the vote. Moreover, having a more left-wing orientation, living in a political constituency that had voted pro-regulation and having proportionally few Swiss friends positively predicted negative affect following the vote. Negative affect was associated with a reported negative change in one’s attitudes towards Switzerland, increased considerations to leave the country, and impaired satisfaction with life. In sum, the results suggest that a powerful exclusionary threat such as a national vote may be experienced as distressful by highly-skilled immigrants currently living in the country. PMID:28406990
Phase transition and information cascade in a voting model
NASA Astrophysics Data System (ADS)
Hisakado, M.; Mori, S.
2010-08-01
In this paper, we introduce a voting model that is similar to a Keynesian beauty contest and analyse it from a mathematical point of view. There are two types of voters—copycat and independent—and two candidates. Our voting model is a binomial distribution (independent voters) doped in a beta binomial distribution (copycat voters). We find that the phase transition in this system is at the upper limit of t, where t is the time (or the number of the votes). Our model contains three phases. If copycats constitute a majority or even half of the total voters, the voting rate converges more slowly than it would in a binomial distribution. If independents constitute the majority of voters, the voting rate converges at the same rate as it would in a binomial distribution. We also study why it is difficult to estimate the conclusion of a Keynesian beauty contest when there is an information cascade.
Rudert, Selma Carolin; Janke, Stefan; Greifeneder, Rainer
2017-01-01
A popular initiative in support of regulating future immigration to Switzerland was accepted by the electorate in 2014. Assuming that the initiative acted as an exclusionary threat for current immigrants of Switzerland, we conducted an online survey among a sample of highly-skilled German-speaking immigrants ("expats"). Participants reported having experienced negative affect following the vote. Moreover, having a more left-wing orientation, living in a political constituency that had voted pro-regulation and having proportionally few Swiss friends positively predicted negative affect following the vote. Negative affect was associated with a reported negative change in one's attitudes towards Switzerland, increased considerations to leave the country, and impaired satisfaction with life. In sum, the results suggest that a powerful exclusionary threat such as a national vote may be experienced as distressful by highly-skilled immigrants currently living in the country.
Umehara, Jun; Ikezoe, Tome; Nishishita, Satoru; Nakamura, Masatoshi; Umegaki, Hiroki; Kobayashi, Takuya; Fujita, Kosuke; Ichihashi, Noriaki
2015-12-01
Decreased flexibility of the tensor fasciae latae is one factor that causes iliotibial band syndrome. Stretching has been used to improve flexibility or tightness of the muscle. However, no studies have investigated the effective stretching position for the tensor fasciae latae using an index to quantify muscle elongation in vivo. The aim of this study was to investigate the effects of hip rotation and knee angle on tensor fasciae latae elongation during stretching in vivo using ultrasonic shear wave elastography. Twenty healthy men participated in this study. The shear elastic modulus of the tensor fasciae latae was calculated using ultrasonic shear wave elastography. Stretching was performed at maximal hip adduction and maximal hip extension in 12 different positions with three hip rotation conditions (neutral, internal, and external rotations) and four knee angles (0°, 45°, 90°, and 135°). Two-way analysis of variance showed a significant main effect for knee angle, but not for hip rotation. The post-hoc test for knee angle indicated that the shear elastic modulus at 90° and 135° were significantly greater than those at 0° and 45°. Our results suggest that adding hip rotation to the stretching position with hip adduction and extension may have less effect on tensor fasciae latae elongation, and that stretching at >90° of knee flexion may effectively elongate the tensor fasciae latae. Copyright © 2015 Elsevier Ltd. All rights reserved.
Formulating Spatially Varying Performance in the Statistical Fusion Framework
Landman, Bennett A.
2012-01-01
To date, label fusion methods have primarily relied either on global (e.g. STAPLE, globally weighted vote) or voxelwise (e.g. locally weighted vote) performance models. Optimality of the statistical fusion framework hinges upon the validity of the stochastic model of how a rater errs (i.e., the labeling process model). Hitherto, approaches have tended to focus on the extremes of potential models. Herein, we propose an extension to the STAPLE approach to seamlessly account for spatially varying performance by extending the performance level parameters to account for a smooth, voxelwise performance level field that is unique to each rater. This approach, Spatial STAPLE, provides significant improvements over state-of-the-art label fusion algorithms in both simulated and empirical data sets. PMID:22438513
Duchrow, Timo; Shtatland, Timur; Guettler, Daniel; Pivovarov, Misha; Kramer, Stefan; Weissleder, Ralph
2009-01-01
Background The breadth of biological databases and their information content continues to increase exponentially. Unfortunately, our ability to query such sources is still often suboptimal. Here, we introduce and apply community voting, database-driven text classification, and visual aids as a means to incorporate distributed expert knowledge, to automatically classify database entries and to efficiently retrieve them. Results Using a previously developed peptide database as an example, we compared several machine learning algorithms in their ability to classify abstracts of published literature results into categories relevant to peptide research, such as related or not related to cancer, angiogenesis, molecular imaging, etc. Ensembles of bagged decision trees met the requirements of our application best. No other algorithm consistently performed better in comparative testing. Moreover, we show that the algorithm produces meaningful class probability estimates, which can be used to visualize the confidence of automatic classification during the retrieval process. To allow viewing long lists of search results enriched by automatic classifications, we added a dynamic heat map to the web interface. We take advantage of community knowledge by enabling users to cast votes in Web 2.0 style in order to correct automated classification errors, which triggers reclassification of all entries. We used a novel framework in which the database "drives" the entire vote aggregation and reclassification process to increase speed while conserving computational resources and keeping the method scalable. In our experiments, we simulate community voting by adding various levels of noise to nearly perfectly labelled instances, and show that, under such conditions, classification can be improved significantly. Conclusion Using PepBank as a model database, we show how to build a classification-aided retrieval system that gathers training data from the community, is completely controlled by the database, scales well with concurrent change events, and can be adapted to add text classification capability to other biomedical databases. The system can be accessed at . PMID:19799796
Contextual priming: Where people vote affects how they vote
Berger, Jonah; Meredith, Marc; Wheeler, S. Christian
2008-01-01
American voters are assigned to vote at a particular polling location (e.g., a church, school, etc.). We show these assigned polling locations can influence how people vote. Analysis of a recent general election demonstrates that people who were assigned to vote in schools were more likely to support a school funding initiative. This effect persisted even when controlling for voters' political views, demographics, and unobservable characteristics of individuals living near schools. A follow-up experiment using random assignment suggests that priming underlies these effects, and that they can occur outside of conscious awareness. These findings underscore the subtle power of situational context to shape important real-world decisions. PMID:18574152
Two kinds of phase transitions in a voting model
NASA Astrophysics Data System (ADS)
Hisakado, M.; Mori, S.
2012-08-01
In this paper, we discuss a voting model with two candidates, C0 and C1. We consider two types of voters—herders and independents. The voting of independents is based on their fundamental values, while the voting of herders is based on the number of previous votes. We can identify two kinds of phase transitions. One is an information cascade transition similar to a phase transition seen in the Ising model. The other is a transition of super and normal diffusions. These phase transitions coexist. We compared our results to the conclusions of experiments and identified the phase transitions in the upper limit of the time t by using the analysis of human behavior obtained from experiments.
Traumatic Brain Injury Diffusion Magnetic Resonance Imaging Research Roadmap Development Project
2011-10-01
promising technology on the horizon is the Diffusion Tensor Imaging ( DTI ). Diffusion tensor imaging ( DTI ) is a magnetic resonance imaging (MRI)-based...in the brain. The potential for DTI to improve our understanding of TBI has not been fully explored and challenges associated with non-existent...processing tools, quality control standards, and a shared image repository. The recommendations will be disseminated and pilot tested. A DTI of TBI
2009-08-01
Mike Wilson, Westat, Inc. developed weights for this survey. Westat performed data collection and editing. DMDC’s Survey Technology Branch, under...STATISTICAL METHODOLOGY REPORT Executive Summary The Uniformed and Overseas Citizens Absentee Voting Act of 1986 (UOCAVA), 42 USC 1973ff, permits members of...citizens covered by UOCAVA, (2) to assess the impact of the FVAP’s efforts to simplify and ease the process of voting absentee , (3) to evaluate other
Jang, Sung Ho; Lee, Han Do
2014-12-01
This study reports on a patient with an intracerebral hemorrhage who showed recovery of an injured arcuate fasciculus (AF) in the dominant hemisphere, using follow-up diffusion tensor tractography. A 43-year-old right-handed man presented with severe aphasia and hemiparesis resulting from a spontaneous intracerebral hemorrhage in the left parietotemporal lobes. The patient showed severe aphasia at 1 month after onset, with an aphasia quotient of 5% on the Korean-Western Aphasia Battery. He underwent comprehensive rehabilitative therapy until 22 months after onset and his aphasia showed improvement, with an aphasia quotient of 58% on the Korean-Western Aphasia Battery. On 1-month diffusion tensor tractography, only the thin ascending part of the left AF from the Wernicke area remained. In contrast, on 16-month diffusion tensor tractography, the injured left AF was thickened and elongated to around the left Broca area; however, discontinuation of the left AF was observed around the left Broca area, and this continuation was elongated to the left Broca area on 22-month diffusion tensor tractography. This study reports on a patient who showed recovery from injury of the left AF along with improvement of aphasia. Recovery of the injured AF in the dominant hemisphere appears to be one of the mechanisms for recovery from aphasia.
Boareto, Marcelo; Cesar, Jonatas; Leite, Vitor B P; Caticha, Nestor
2015-01-01
We introduce Supervised Variational Relevance Learning (Suvrel), a variational method to determine metric tensors to define distance based similarity in pattern classification, inspired in relevance learning. The variational method is applied to a cost function that penalizes large intraclass distances and favors small interclass distances. We find analytically the metric tensor that minimizes the cost function. Preprocessing the patterns by doing linear transformations using the metric tensor yields a dataset which can be more efficiently classified. We test our methods using publicly available datasets, for some standard classifiers. Among these datasets, two were tested by the MAQC-II project and, even without the use of further preprocessing, our results improve on their performance.
Code of Federal Regulations, 2010 CFR
2010-01-01
... 7 Agriculture 10 2010-01-01 2010-01-01 false Voting. 1212.102 Section 1212.102 Agriculture Regulations of the Department of Agriculture (Continued) AGRICULTURAL MARKETING SERVICE (MARKETING AGREEMENTS..., PROMOTION, CONSUMER EDUCATION AND INDUSTRY INFORMATION ORDER Referendum Procedures § 1212.102 Voting. (a...
28 CFR 51.58 - Representation.
Code of Federal Regulations, 2010 CFR
2010-07-01
... THE VOTING RIGHTS ACT OF 1965, AS AMENDED Determinations by the Attorney General § 51.58... making determinations with respect to these changes involving voting practices and procedures, the... voting in the jurisdiction is racially polarized and political activities are racially segregated. (4...
Asch, David A.; Armstrong, Katrina
2007-01-01
BACKGROUND Organizational leaders and scholars have issued calls for the medical profession to refocus its efforts on fulfilling the core tenets of professionalism. A key element of professionalism is participation in community affairs. OBJECTIVE To measure physician voting rates as an indicator of civic participation. DESIGN Cross-sectional survey of a subgroup of physicians from a nationally representative household survey of civilian, noninstitutionalized adult citizens. PARTICIPANTS A total of 350,870 participants in the Current Population Survey (CPS) November Voter Supplement from 1996–2002, including 1,274 physicians and 1,886 lawyers; 414,989 participants in the CPS survey from 1976–1982, including 2,033 health professionals. MEASUREMENTS Multivariate logistic regression models were used to compare adjusted physician voting rates in the 1996–2002 congressional and presidential elections with those of lawyers and the general population and to compare voting rates of health professionals in 1996–2002 with those in 1976–1992. RESULTS After multivariate adjustment for characteristics known to be associated with voting rates, physicians were less likely to vote than the general population in 1998 (odds ratio 0.76; 95% confidence interval [CI] 0.59–0.99), 2000 (odds ratio 0.64; 95% CI 0.44–0.93), and 2002 (odds ratio 0.62; 95% CI 0.48–0.80) but not 1996 (odds ratio 0.83; 95% CI 0.59–1.17). Lawyers voted at higher rates than the general population and doctors in all four elections (P < .001). The pooled adjusted odds ratio for physician voting across the four elections was 0.70 (CI 0.61–0.81). No substantial changes in voting rates for health professionals were observed between 1976–1982 and 1996–2002. CONCLUSIONS Physicians have lower adjusted voting rates than lawyers and the general population, suggesting reduced civic participation. PMID:17443365
Mental illness and the right to vote: a review of legislation across the world.
Bhugra, Dinesh; Pathare, Soumitra; Gosavi, Chetna; Ventriglio, Antonio; Torales, Julio; Castaldelli-Maia, João; Tolentino, Edgardo Juan L; Ng, Roger
2016-08-01
The right to vote is an important right signifying freedom of thought as well as full citizenship in any setting. Right to vote is enshrined and protected by international human rights treaties. The right of 'everyone' to take part in the political process and elections is based on universal and equal suffrage. Although these International Conventions have been ratified by the large majority of United Nations Member States, their application across the globe is by no means universal. This study sets out to examine the domestic laws of UN Member States in order to explore whether individuals with mental health problems have the right to vote in actuality and, thu,s can participate in political life. Through various searches, electoral laws and Constitutions of 193 Member States of the United Nations were studied. The authors were able to find legislation and/or Constitutional provisions in 167 of the 193 Member States. Twenty-one countries (11%) only placed no restrictions on the right to vote by persons with mental health problems. Over one third of the countries (36%) deny all persons with any mental health problems a right to vote without any qualifier. Some of these discriminatory attitudes are reflected in the multiplicity of terms used to describe persons with mental health problems. Another 21 countries (11%) denied the right to vote to detained persons; of these, nine Member States specifically denied the right to vote to persons who were detained under the mental health law, while the remainder denied the right to vote to all those who were interdicted or judicially interdicted. It would appear that in many countries the denial of voting rights is attributed to a lack of ability to consent by the individuals with mental illness. Further exploration of explanation is required to understand these variations, which exist in spite of international treaties.
Using democracy to award research funding: an observational study.
Barnett, Adrian G; Clarke, Philip; Vaquette, Cedryck; Graves, Nicholas
2017-01-01
Winning funding for health and medical research usually involves a lengthy application process. With success rates under 20%, much of the time spent by 80% of applicants could have been better used on actual research. An alternative funding system that could save time is using democracy to award the most deserving researchers based on votes from the research community. We aimed to pilot how such a system could work and examine some potential biases. We used an online survey with a convenience sample of Australian researchers. Researchers were asked to name the 10 scientists currently working in Australia that they thought most deserved funding for future research. For comparison, we used recent winners from large national fellowship schemes that used traditional peer review. Voting took a median of 5 min (inter-quartile range 3 to 10 min). Extrapolating to a national voting scheme, we estimate 599 working days of voting time (95% CI 490 to 728), compared with 827 working days for the current peer review system for fellowships. The gender ratio in the votes was a more equal 45:55 (female to male) compared with 34:66 in recent fellowship winners, although this could be explained by Simpson's paradox. Voters were biased towards their own institution, with an additional 1.6 votes per ballot (inter-quartile range 0.8 to 2.2) above the expected number. Respondents raised many concerns about the idea of using democracy to fund research, including vote rigging, lobbying and it becoming a popularity contest. This is a preliminary study of using voting that does not investigate many of the concerns about how a voting system would work. We were able to show that voting would take less time than traditional peer review and would spread the workload over many more reviewers. Further studies of alternative funding systems are needed as well as a wide discussion with the research community about potential changes.
Conditions Influencing Faculty Voting in Collective Bargaining Elections.
ERIC Educational Resources Information Center
Bornheimer, Deane G.
1985-01-01
The factors that influenced voting behavior in two faculty union defeats at New York University are examined. The importance of the swing votes cast in a run-off election by the members of a previously defeated third party is discussed. (Author/MLW)
Code of Federal Regulations, 2010 CFR
2010-01-01
... 7 Agriculture 10 2010-01-01 2010-01-01 false Voting. 1206.102 Section 1206.102 Agriculture Regulations of the Department of Agriculture (Continued) AGRICULTURAL MARKETING SERVICE (MARKETING AGREEMENTS... INFORMATION Referendum Procedures. § 1206.102 Voting. (a) Each eligible first handler and eligible importer of...
28 CFR 55.19 - Written materials.
Code of Federal Regulations, 2010 CFR
2010-07-01
... Judicial Administration DEPARTMENT OF JUSTICE (CONTINUED) IMPLEMENTATION OF THE PROVISIONS OF THE VOTING RIGHTS ACT REGARDING LANGUAGE MINORITY GROUPS Minority Language Materials and Assistance § 55.19 Written... will be lost if a separate minority language ballot or voting machine is used. (d) Voting machines...
28 CFR 51.58 - Representation.
Code of Federal Regulations, 2011 CFR
2011-07-01
... THE VOTING RIGHTS ACT OF 1965, AS AMENDED Determinations by the Attorney General § 51.58... making determinations with respect to these changes involving voting practices and procedures, the... process in the jurisdiction. (2) The extent to which voting in the jurisdiction is racially polarized and...
28 CFR 55.19 - Written materials.
Code of Federal Regulations, 2011 CFR
2011-07-01
... Judicial Administration DEPARTMENT OF JUSTICE (CONTINUED) IMPLEMENTATION OF THE PROVISIONS OF THE VOTING RIGHTS ACT REGARDING LANGUAGE MINORITY GROUPS Minority Language Materials and Assistance § 55.19 Written... will be lost if a separate minority language ballot or voting machine is used. (d) Voting machines...
Voting pattern of mental patients in a community state hospital.
Klein, M M; Grossman, S A
1967-06-01
The voting pattern of mental patients in a community-based state hospital was studied. Patients were polled on the New York City mayoralty race. A comparison to the vote of the general population revealed that the hospital sample vote resembled most closely the election results of the hospital district. The results highlight the advantage of community-centered mental health facilities, which undertake the treatment and rehabilitation of mental patients under conditions that maintain ties with family and community.
van Ooijen, P M A; Broekema, A; Oudkerk, M
2011-08-01
To develop, implement and test a novel audience response system (ARS) that allows image based interaction for radiology education. The ARS developed in this project is based on standard Personal Digital Assistants (PDAs) (HP iPAQ 114 classic handheld) running Microsoft® Windows Mobile® 6 Classic with a large 3.5 in. TFT touch screen (320×240 pixel resolution), high luminance and integrated IEEE 802.11b/g wireless. For software development Visual Studio 2008 professional (Microsoft) was used and all components were written in C#. Two test sessions were conducted to test the software technically followed by two real classroom tests in a radiology class for medical students on thoracic radiology. The novel ARS, called I2Vote, was successfully implemented and provided an easy to use, stable setup. The acceptance of both students and teachers was very high and the interaction with the students improved because of the anonymous interaction possibility. An easy to use handheld based ARS that enables interactive, image-based, teaching is achieved. The system effectively adds an extra dimension to the use of an ARS. Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.
School Board Elections: Theories Meet Reality
ERIC Educational Resources Information Center
Garn, Gregg; Copeland, Gary
2014-01-01
This exploratory article relies on qualitative data generated from observations and focus group interviews to investigate what motivates citizens to vote in school board elections and how they choose among candidates. Our review of literature suggests that capture theory, dissatisfaction theory, retrospective voting, partisanship, issue voting,…
16 CFR 803.5 - Affidavits required.
Code of Federal Regulations, 2012 CFR
2012-01-01
... entity whose voting securities or non-corporate interests are to be acquired has received notice in... acquire voting securities or non-corporate interests of the issuer or unincorporated entity; (iii) The specific classes of voting securities or non-corporate interests of the issuer or unincorporated entity...
78 FR 19979 - Establishment of the Presidential Commission on Election Administration
Federal Register 2010, 2011, 2012, 2013, 2014
2013-04-03
..., recruitment, and number of poll workers; (iii) voting accessibility for uniformed and overseas voters; (iv) the efficient management of voter rolls and poll books; (v) voting machine capacity and technology; (vi) ballot simplicity and voter education; (vii) voting accessibility for individuals with...
RCN members throw away chance to have their say on pensions.
Karim, Kelvin
2012-03-07
I have just seen the result of the RCN ballot of members on the government's pensions offer. The vote closed on February 27 and 65,759 votes were cast, a turnout of 16 per cent of the RCN members eligible to vote.
Federal Register 2010, 2011, 2012, 2013, 2014
2012-10-18
... with power to vote), and Goodman Group Management Deferred Compensation Rabbi Trust Plan, F/B/O Dan..., Arizona, trustee; Dan Peterka with power to vote); to join the Peterka Family Group to acquire voting...
SWT voting-based color reduction for text detection in natural scene images
NASA Astrophysics Data System (ADS)
Ikica, Andrej; Peer, Peter
2013-12-01
In this article, we propose a novel stroke width transform (SWT) voting-based color reduction method for detecting text in natural scene images. Unlike other text detection approaches that mostly rely on either text structure or color, the proposed method combines both by supervising text-oriented color reduction process with additional SWT information. SWT pixels mapped to color space vote in favor of the color they correspond to. Colors receiving high SWT vote most likely belong to text areas and are blocked from being mean-shifted away. Literature does not explicitly address SWT search direction issue; thus, we propose an adaptive sub-block method for determining correct SWT direction. Both SWT voting-based color reduction and SWT direction determination methods are evaluated on binary (text/non-text) images obtained from a challenging Computer Vision Lab optical character recognition database. SWT voting-based color reduction method outperforms the state-of-the-art text-oriented color reduction approach.
DOE Office of Scientific and Technical Information (OSTI.GOV)
CRAGG, MICHAEL I.; ZHOU, YUYU; GURNEY, KEVIN
2012-04-20
Over the last five years, the U.S Congress has voted on several pieces of legislation intended to sharply reduce the nation’s greenhouse gas emissions. Given that climate change is a world public bad, standard economic logic would predict that the United States would -free rideII and wait for other nations to reduce their emissions. Within the Congress, there are clear patterns to who votes in favor of mitigating greenhouse gas emissions. This paper presents a political economy analysis of the determinants of pro-greenII votes on such legislation. Conservatives consistently vote against such legislation. Controlling for a Representative’s ideology, representatives frommore » richer districts and districts with a lower per-capita carbon dioxide footprint are more likely to vote in favor of climate change mitigation legislation. Representatives from districts where industrial emissions represent a larger share of greenhouse gas emissions are more likely to vote no.« less
Improving Citizenship Education: Elementary Handbook.
ERIC Educational Resources Information Center
Jackson, Edwin L., Ed.
Designed to enrich social studies education at the elementary level, this manual provides teaching strategies and citizenship units for kindergarten through grade 7. Kindergarten students learn about rules, voting, interdependence, wants vs. needs, environmental protection, homes and backgrounds, and goods and services. Grades 1 and 2 focus on the…
Tensor Factorization for Precision Medicine in Heart Failure with Preserved Ejection Fraction
Luo, Yuan; Ahmad, Faraz S.; Shah, Sanjiv J.
2017-01-01
Heart failure with preserved ejection fraction (HFpEF) is a heterogeneous clinical syndrome that may benefit from improved subtyping in order to better characterize its pathophysiology and to develop novel targeted therapies. The United States Precision Medicine Initiative comes amid the rapid growth in quantity and modality of clinical data for HFpEF patients ranging from deep phenotypic to trans-omic data. Tensor factorization, a form of machine learning, allows for the integration of multiple data modalities to derive clinically relevant HFpEF subtypes that may have significant differences in underlying pathophysiology and differential response to therapies. Tensor factorization also allows for better interpretability by supporting dimensionality reduction and identifying latent groups of data for meaningful summarization of both features and disease outcomes. In this narrative review, we analyze the modest literature on the application of tensor factorization to related biomedical fields including genotyping and phenotyping. Based on the cited work including work of our own, we suggest multiple tensor factorization formulations capable of integrating the deep phenotypic and trans-omic modalities of data for HFpEF, or accounting for interactions between genetic variants at different -omic hierarchies. We encourage extensive experimental studies to tackle challenges in applying tensor factorization for precision medicine in HFpEF, including effectively incorporating existing medical knowledge, properly accounting for uncertainty, and efficiently enforcing sparsity for better interpretability. PMID:28116551
Tunnicliffe, David J; Singh-Grewal, Davinder; Craig, Jonathan C; Howell, Martin; Tugwell, Peter; Mackie, Fiona; Lin, Ming-Wei; O'Neill, Sean G; Ralph, Angelique F; Tong, Allison
2017-04-01
Managing juvenile-onset systemic lupus erythematosus (SLE) is particularly challenging. The disease may be severe, adolescent patients have complex medical and psychosocial needs, and patients must navigate the transition to adult services. To inform patient-centered care, we aimed to identify the healthcare and research priorities of young patients with SLE and describe the reasons underpinning their priorities. Face-to-face, semistructured interviews and focus groups were conducted with patients with SLE, aged from 14 to 26 years, from 5 centers in Australia. For each of the 5 allocation exercises, participants allocated 10 votes to (1) research topics; research questions on (2) medical management, (3) prevention and diagnosis, (4) lifestyle and psychosocial; and (5) healthcare specialties, and discussed the reasons for their choices. Descriptive statistics were calculated for votes and qualitative data were analyzed thematically. The 26 participants prioritized research that alleviated the psychological burden of SLE. They allocated their votes toward medical and mental health specialties in the management of SLE, while fewer votes were given to physiotherapy/occupational therapy and dietetics. The following 7 themes underpinned the participants' priorities: improving service shortfalls, strengthening well-being, ensuring cost efficiency, minimizing family/community burden, severity of comorbidity or complications, reducing lifestyle disruption, and fulfilling future goals. Young patients with SLE value comprehensive care with greater coordination among specialties. They prioritized research focused on alleviating poor psychological outcomes. The healthcare and research agenda for patients with SLE should include everyone involved, to ensure that the agenda aligns with patient priorities, needs, and values.
Information cascade on networks
NASA Astrophysics Data System (ADS)
Hisakado, Masato; Mori, Shintaro
2016-05-01
In this paper, we discuss a voting model by considering three different kinds of networks: a random graph, the Barabási-Albert (BA) model, and a fitness model. A voting model represents the way in which public perceptions are conveyed to voters. Our voting model is constructed by using two types of voters-herders and independents-and two candidates. Independents conduct voting based on their fundamental values; on the other hand, herders base their voting on the number of previous votes. Hence, herders vote for the majority candidates and obtain information relating to previous votes from their networks. We discuss the difference between the phases on which the networks depend. Two kinds of phase transitions, an information cascade transition and a super-normal transition, were identified. The first of these is a transition between a state in which most voters make the correct choices and a state in which most of them are wrong. The second is a transition of convergence speed. The information cascade transition prevails when herder effects are stronger than the super-normal transition. In the BA and fitness models, the critical point of the information cascade transition is the same as that of the random network model. However, the critical point of the super-normal transition disappears when these two models are used. In conclusion, the influence of networks is shown to only affect the convergence speed and not the information cascade transition. We are therefore able to conclude that the influence of hubs on voters' perceptions is limited.
da Rocha, Armando Freitas; Rocha, Fábio Theoto; Burattini, Marcelo Nascimento; Massad, Eduardo
2010-09-10
Variables influencing decision-making in real settings, as in the case of voting decisions, are uncontrollable and in many times even unknown to the experimenter. In this case, the experimenter has to study the intention to decide (vote) as close as possible in time to the moment of the real decision (election day). Here, we investigated the brain activity associated with the voting intention declared 1 week before the election day of the Brazilian Firearms Control Referendum about prohibiting the commerce of firearms. Two alliances arose in the Congress to run the campaigns for YES (for the prohibition of firearm commerce) and NO (against the prohibition of firearm commerce) voting. Time constraints imposed by the necessity of studying a reasonable number (here, 32) of voters during a very short time (5 days) made the EEG the tool of choice for recording the brain activity associated with voting decision. Recent fMRI and EEG studies have shown decision-making as a process due to the enrollment of defined neuronal networks. In this work, a special EEG technique is applied to study the topology of the voting decision-making networks and is compared to the results of standard ERP procedures. The results show that voting decision-making enrolled networks in charge of calculating the benefits and risks of the decision of prohibiting or allowing firearm commerce and that the topology of such networks was vote- (i.e., YES/NO-) sensitive. 2010 Elsevier B.V. All rights reserved.
Mean template for tensor-based morphometry using deformation tensors.
Leporé, Natasha; Brun, Caroline; Pennec, Xavier; Chou, Yi-Yu; Lopez, Oscar L; Aizenstein, Howard J; Becker, James T; Toga, Arthur W; Thompson, Paul M
2007-01-01
Tensor-based morphometry (TBM) studies anatomical differences between brain images statistically, to identify regions that differ between groups, over time, or correlate with cognitive or clinical measures. Using a nonlinear registration algorithm, all images are mapped to a common space, and statistics are most commonly performed on the Jacobian determinant (local expansion factor) of the deformation fields. In, it was shown that the detection sensitivity of the standard TBM approach could be increased by using the full deformation tensors in a multivariate statistical analysis. Here we set out to improve the common space itself, by choosing the shape that minimizes a natural metric on the deformation tensors from that space to the population of control subjects. This method avoids statistical bias and should ease nonlinear registration of new subjects data to a template that is 'closest' to all subjects' anatomies. As deformation tensors are symmetric positive-definite matrices and do not form a vector space, all computations are performed in the log-Euclidean framework. The control brain B that is already the closest to 'average' is found. A gradient descent algorithm is then used to perform the minimization that iteratively deforms this template and obtains the mean shape. We apply our method to map the profile of anatomical differences in a dataset of 26 HIV/AIDS patients and 14 controls, via a log-Euclidean Hotelling's T2 test on the deformation tensors. These results are compared to the ones found using the 'best' control, B. Statistics on both shapes are evaluated using cumulative distribution functions of the p-values in maps of inter-group differences.
The Federal Voting Assistance Program: Refocusing and Reorganizing for the Road Ahead
2015-12-16
Assistance Program (FVAP) admin-isters the Uniformed and Overseas Citizens Absentee Voting Act (UOCAVA)1 and helps uniformed-service members and other U.S...more effectively within the system. FVAP Assistance Options for Uniformed and Overseas Citizens Absentee Voting Act Voters Assistance seeker
11 CFR 110.18 - Voting age population.
Code of Federal Regulations, 2010 CFR
2010-01-01
... 11 Federal Elections 1 2010-01-01 2010-01-01 false Voting age population. 110.18 Section 110.18 Federal Elections FEDERAL ELECTION COMMISSION GENERAL CONTRIBUTION AND EXPENDITURE LIMITATIONS AND... population of the United States, of each State, and of each Congressional district. The term voting age...
Code of Federal Regulations, 2011 CFR
2011-01-01
... through the Internet during the voting period. A completed and signed CN-100 and supporting documentation.... Forms obtained via the Internet will be located at http://www.ams.usda.gov/Cotton. Upon request by....C. or through the Internet during the voting period. In addition, before the referendum, USDA shall...
12 CFR 615.5230 - Implementation of cooperative principles.
Code of Federal Regulations, 2010 CFR
2010-01-01
... 12 Banks and Banking 6 2010-01-01 2010-01-01 false Implementation of cooperative principles. 615... Implementation of cooperative principles. (a) Voting shareholders of Farm Credit banks and associations shall be accorded full voting rights in accordance with cooperative principles. (1) Each voting shareholder of an...
28 CFR 51.54 - Discriminatory effect.
Code of Federal Regulations, 2010 CFR
2010-07-01
... SECTION 5 OF THE VOTING RIGHTS ACT OF 1965, AS AMENDED Determinations by the Attorney General § 51.54 Discriminatory effect. (a) Retrogression. A change affecting voting is considered to have a discriminatory effect... retrogressive the Attorney General will normally compare the submitted change to the voting practice or...
Voting Systems for Environmental Decisions
BURGMAN, MARK A; REGAN, HELEN M; MAGUIRE, LYNN A; COLYVAN, MARK; JUSTUS, JAMES; MARTIN, TARA G; ROTHLEY, KRIS
2014-01-01
Voting systems aggregate preferences efficiently and are often used for deciding conservation priorities. Desirable characteristics of voting systems include transitivity, completeness, and Pareto optimality, among others. Voting systems that are common and potentially useful for environmental decision making include simple majority, approval, and preferential voting. Unfortunately, no voting system can guarantee an outcome, while also satisfying a range of very reasonable performance criteria. Furthermore, voting methods may be manipulated by decision makers and strategic voters if they have knowledge of the voting patterns and alliances of others in the voting populations. The difficult properties of voting systems arise in routine decision making when there are multiple criteria and management alternatives. Because each method has flaws, we do not endorse one method. Instead, we urge organizers to be transparent about the properties of proposed voting systems and to offer participants the opportunity to approve the voting system as part of the ground rules for operation of a group. Sistemas de Votación para Decisiones Ambientales Resumen Los sistemas de votación agregan preferencias eficientemente y muy seguido se usan para decidir prioridades de conservación. Las características deseables de un sistema de votación incluyen la transitividad, lo completo que sean y la optimalidad de Pareto, entre otras. Los sistemas de votación que son comunes y potencialmente útiles para la toma de decisiones ambientales incluyen simple mayoría, aprobación y votación preferencial. Desafortunadamente, ningún sistema de votación puede garantizar un resultado y a la vez satisfacer un rango de criterios de desempeño muy razonable. Además, los métodos de votación pueden manipularse por los que toman las decisiones y votantes estratégicos si tienen el conocimiento de los patrones de votación y de las alianzas entre miembros dentro de las poblaciones votantes. Las propiedades difíciles de los sistemas de votación sobresalen en las tomas de decisiones rutinarias cuando hay criterios múltiples y alternativas de manejo. Ya que ambos métodos tienen fallas, no apoyamos a uno sobre el otro. En lugar de esto le pedimos urgentemente a los organizadores ser transparentes con respecto a las propiedades de los sistemas de votación y ofrecer a los participantes la oportunidad de aprobar el sistema de votación como parte de las reglas básicas para la operación de un grupo. PMID:24423154
The causes and effects of the Alternative Motor Fuels Act
NASA Astrophysics Data System (ADS)
Liu, Yimin
The corporate average fuel economy (CAFE) standard is the major policy tool to improve the fleet average miles per gallon of automobile manufacturers in the U.S. The Alternative Motor Fuels Act (AMFA) provides special treatment in calculating the fuel economy of alternative fuel vehicles to give manufacturers CAFE incentives to produce more alternative fuel vehicles. AMFA has as its goals an increase in the production of alternative fuel vehicles and a decrease in gasoline consumption and greenhouse gas emissions. This dissertation examines theoretically the effects of the program set up under AMFA. It finds that, under some conditions, this program may actually increase gasoline consumption and greenhouse gas emissions. The dissertation also uses hedonic techniques to examine whether the Alternative Motor Fuels Act (AMFA) has a significant effect on the implicit price of fuel economy and whether the marginal value of vehicle fuel efficiency changes over time. It estimates the change of implicit price in miles per gallon after the production of alternative fuel vehicles (AFVs). Results indicate that every year consumers may evaluate vehicle fuel economy differently, and that since AFVs came to the market, the marginal value of fuel economy from specific companies producing AFVs has decreased. This finding suggests that since the AMFA provides extra Corporate Average Fuel Economy (CAFE) credit for those automakers producing AFVs, the automakers can take advantage of the incentive to produce more profitable conventional vehicles and meet CAFE standards without improving the fleet fuel economy. In this way, manufacturers who produce AFVs are willing to offer a lower price for the fuel economy under the AMFA. Additionally, this paper suggests that the flexible fuel vehicles (FFVs) on the market are not significantly more expensive than comparable conventional vehicles, even if FFVs are also able to run on an alternative fuel and may cost more than conventional vehicles. In other words, consumers may not notice the difference between flexible fuel vehicles and conventional vehicles, or are not willing to pay higher prices for FFVs of the same make and model. When the U.S. House of Representatives passed the Alternative Fuels Motor Act (AMFA) in 1987, the representatives who did not vote outnumbered those who opposed the law. This dissertation uses a bivariate probit model with sample selection to study congressmen's two-step decisions --- whether to vote and then how to vote --- on the bill. Theories of political decision-making are examined and tested by the two-stage congressmen voting procedure, which confirms constituent economic interests, congressmen ideology and interest groups' contributions play important roles in congressmen's decision-making on economic policies. Furthermore, it suggests that ignoring congressmen not voting may lead to biased conclusions or inaccurate estimation of the influences of some factors. This study also compares the results from the two-step process with the results from the sample of congressmen who voted, and calculates the marginal effects bound of every factor on the probability of passing the AMFA.
17 CFR 270.23c-3 - Repurchase offers by closed-end companies.
Code of Federal Regulations, 2010 CFR
2010-04-01
... a repurchase offer, or after a shareholder vote adopting the fundamental policy specifying a company... pursuant to a fundamental policy, changeable only by a majority vote of the outstanding voting securities... management by the investment adviser, the company's board of directors shall adopt written procedures...
Comparing Youth Opinions toward Compulsory Voting across Five Countries
ERIC Educational Resources Information Center
Pesek, Jessamay T.
2014-01-01
This study uses a comparative case study design to examine youth (ages 13-20) opinions toward compulsory voting across five democratic countries: Colombia, Ecuador, Mexico, Peru, and the United States. Youth responses toward compulsory voting demonstrate how youth come to learn about citizen rights and responsibilities with varied understandings…
32 CFR 2003.6 - Voting (Article VI).
Code of Federal Regulations, 2014 CFR
2014-07-01
... 32 National Defense 6 2014-07-01 2014-07-01 false Voting (Article VI). 2003.6 Section 2003.6 National Defense Other Regulations Relating to National Defense INFORMATION SECURITY OVERSIGHT OFFICE...) BYLAWS, RULES, AND APPEAL PROCEDURES Bylaws § 2003.6 Voting (Article VI). (a) Motions. When the Panel is...
32 CFR 2003.6 - Voting (Article VI).
Code of Federal Regulations, 2013 CFR
2013-07-01
... 32 National Defense 6 2013-07-01 2013-07-01 false Voting (Article VI). 2003.6 Section 2003.6 National Defense Other Regulations Relating to National Defense INFORMATION SECURITY OVERSIGHT OFFICE...) BYLAWS, RULES, AND APPEAL PROCEDURES Bylaws § 2003.6 Voting (Article VI). (a) Motions. When the Panel is...
Quantitative Analysis of Strategic Voting in Anonymous Voting Systems
ERIC Educational Resources Information Center
Wang, Tiance
2016-01-01
Democratically choosing a single preference from three or more candidate options is not a straightforward matter. There are many competing ideas on how to aggregate rankings of candidates. However, the Gibbard-Satterthwaite theorem implies that no fair voting system (equality among voters and equality among candidates) is immune to strategic…
12 CFR 708a.12 - Voting incentives.
Code of Federal Regulations, 2010 CFR
2010-01-01
... 12 Banks and Banking 6 2010-01-01 2010-01-01 false Voting incentives. 708a.12 Section 708a.12 Banks and Banking NATIONAL CREDIT UNION ADMINISTRATION REGULATIONS AFFECTING CREDIT UNIONS CONVERSION OF INSURED CREDIT UNIONS TO MUTUAL SAVINGS BANKS § 708a.12 Voting incentives. If a converting credit union...
28 CFR 51.18 - Court-ordered changes.
Code of Federal Regulations, 2010 CFR
2010-07-01
... SECTION 5 OF THE VOTING RIGHTS ACT OF 1965, AS AMENDED General Provisions § 51.18 Court-ordered changes. (a) In general. Changes affecting voting that are ordered by a Federal court are subject to the... subject to preclearance. For example, voting precinct and polling place changes made necessary by a court...
28 CFR 51.18 - Federal court-ordered changes.
Code of Federal Regulations, 2011 CFR
2011-07-01
... OF SECTION 5 OF THE VOTING RIGHTS ACT OF 1965, AS AMENDED General Provisions § 51.18 Federal court-ordered changes. (a) In general. Changes affecting voting for which approval by a Federal court is... preclearance. For example, voting precinct and polling changes made necessary by a court-ordered redistricting...
28 CFR 51.13 - Examples of changes.
Code of Federal Regulations, 2010 CFR
2010-07-01
... THE VOTING RIGHTS ACT OF 1965, AS AMENDED General Provisions § 51.13 Examples of changes. Changes affecting voting include, but are not limited to, the following examples: (a) Any change in qualifications... in the constituency of an official or the boundaries of a voting unit (e.g., through redistricting...
28 CFR 51.13 - Examples of changes.
Code of Federal Regulations, 2011 CFR
2011-07-01
... THE VOTING RIGHTS ACT OF 1965, AS AMENDED General Provisions § 51.13 Examples of changes. Changes affecting voting include, but are not limited to, the following examples: (a) Any change in qualifications... in the constituency of an official or the boundaries of a voting unit (e.g., through redistricting...
39 CFR 6.6 - Quorum and voting.
Code of Federal Regulations, 2011 CFR
2011-07-01
...)(1) requires a favorable vote of an absolute majority of the Governors in office; (b) In the... absolute majority of the Governors in office and the Postmaster General; (c) In the appointment, removal... necessary staff, a favorable vote of an absolute majority of the Governors in office is required; (d) In the...
28 CFR 51.29 - Communications concerning voting changes.
Code of Federal Regulations, 2012 CFR
2012-07-01
... Groups § 51.29 Communications concerning voting changes. Any individual or group may send to the Attorney... individuals or groups concerning any change affecting voting may be sent at any time; however, individuals and... the Department of Justice the identity of any individual or entity providing information on a...
28 CFR 51.29 - Communications concerning voting changes.
Code of Federal Regulations, 2013 CFR
2013-07-01
... Groups § 51.29 Communications concerning voting changes. Any individual or group may send to the Attorney... individuals or groups concerning any change affecting voting may be sent at any time; however, individuals and... the Department of Justice the identity of any individual or entity providing information on a...
28 CFR 51.29 - Communications concerning voting changes.
Code of Federal Regulations, 2014 CFR
2014-07-01
... Groups § 51.29 Communications concerning voting changes. Any individual or group may send to the Attorney... individuals or groups concerning any change affecting voting may be sent at any time; however, individuals and... the Department of Justice the identity of any individual or entity providing information on a...
78 FR 49555 - Special Opportunities Fund, Inc.; Notice of Application
Federal Register 2010, 2011, 2012, 2013, 2014
2013-08-14
... the Administrative Procedure Act of 1946 (``APA'') concerning a proxy voting procedure under Section...)(F) provides that the acquiring fund ``shall exercise voting rights by proxy or otherwise with...)(F) of the Act, or with the guidance that the Commission articulated in the 1971 Release. The Voting...
Federal Register 2010, 2011, 2012, 2013, 2014
2013-04-16
... Collection; Comments Requested: Procedures for the Administration of Section 5 of the Voting Rights Act of... Form/Collection: Procedures for the Administration of Section 5 of the Voting Rights Act of 1965. (3... specially covered under the Voting Rights Act are [[Page 22559
20 CFR 638.535 - Voting rights.
Code of Federal Regulations, 2010 CFR
2010-04-01
... 20 Employees' Benefits 3 2010-04-01 2010-04-01 false Voting rights. 638.535 Section 638.535 Employees' Benefits EMPLOYMENT AND TRAINING ADMINISTRATION, DEPARTMENT OF LABOR JOB CORPS PROGRAM UNDER TITLE IV-B OF THE JOB TRAINING PARTNERSHIP ACT Center Operations § 638.535 Voting rights. The Job Corps...
Code of Federal Regulations, 2010 CFR
2010-07-01
... Administration DEPARTMENT OF JUSTICE (CONTINUED) IMPLEMENTATION OF THE PROVISIONS OF THE VOTING RIGHTS ACT... the Voting Rights Act of 1965, 79 Stat. 437, as amended by the Civil Rights Act of 1968, 82 Stat. 73, the Voting Rights Act Amendments of 1970, 84 Stat. 314, the District of Columbia Delegate Act, 84 Stat...
28 CFR 51.54 - Discriminatory purpose and effect.
Code of Federal Regulations, 2011 CFR
2011-07-01
... OF SECTION 5 OF THE VOTING RIGHTS ACT OF 1965, AS AMENDED Determinations by the Attorney General § 51.54 Discriminatory purpose and effect. (a) Discriminatory purpose. A change affecting voting is... with any purpose of denying or abridging the right to vote on account of race, color, or membership in...
29 CFR 452.132 - Proxy voting.
Code of Federal Regulations, 2010 CFR
2010-07-01
... GENERAL STATEMENT CONCERNING THE ELECTION PROVISIONS OF THE LABOR-MANAGEMENT REPORTING AND DISCLOSURE ACT OF 1959 Election Procedures; Rights of Members § 452.132 Proxy voting. There is no prohibition on... 29 Labor 2 2010-07-01 2010-07-01 false Proxy voting. 452.132 Section 452.132 Labor Regulations...
29 CFR 452.132 - Proxy voting.
Code of Federal Regulations, 2011 CFR
2011-07-01
... GENERAL STATEMENT CONCERNING THE ELECTION PROVISIONS OF THE LABOR-MANAGEMENT REPORTING AND DISCLOSURE ACT OF 1959 Election Procedures; Rights of Members § 452.132 Proxy voting. There is no prohibition on... 29 Labor 2 2011-07-01 2011-07-01 false Proxy voting. 452.132 Section 452.132 Labor Regulations...
28 CFR 55.2 - Purpose; standards for measuring compliance.
Code of Federal Regulations, 2010 CFR
2010-07-01
... PROVISIONS OF THE VOTING RIGHTS ACT REGARDING LANGUAGE MINORITY GROUPS General Provisions § 55.2 Purpose... interpretation of the provisions of the Voting Rights Act which require certain States and political subdivisions... of the Act of changes with respect to voting, in the consideration of the need for litigation to...
28 CFR 51.22 - Premature submissions.
Code of Federal Regulations, 2010 CFR
2010-07-01
... SECTION 5 OF THE VOTING RIGHTS ACT OF 1965, AS AMENDED Procedures for Submission to the Attorney General... for a change affecting voting submitted prior to final enactment or administrative decision or (b) Any proposed change which has a direct bearing on another change affecting voting which has not received...
Code of Federal Regulations, 2011 CFR
2011-07-01
... Administration DEPARTMENT OF JUSTICE (CONTINUED) IMPLEMENTATION OF THE PROVISIONS OF THE VOTING RIGHTS ACT... the Voting Rights Act of 1965, 79 Stat. 437, as amended by the Civil Rights Act of 1968, 82 Stat. 73, the Voting Rights Act Amendments of 1970, 84 Stat. 314, the District of Columbia Delegate Act, 84 Stat...
78 FR 19466 - Proposed Collection; Comment Request
Federal Register 2010, 2011, 2012, 2013, 2014
2013-04-01
... requirement of the Uniformed and Overseas Absentee Voting Act (UOCAVA), 46 U.S.C. 1973ff wherein the Secretary... otherwise granted military/ overseas voting rights. The overseas citizen selection previously described as...)), Federal Voting Assistance Program, DoD. ACTION: Notice. In compliance with Section 3506(c)(2)(A) of the...
78 FR 19465 - Proposed Collection; Comment Request
Federal Register 2010, 2011, 2012, 2013, 2014
2013-04-01
... the requirement of the Uniformed and Overseas Absentee Voting Act (UOCAVA), 46 U. S. C. 1973ff wherein... otherwise granted military/overseas voting rights. The overseas citizen selection previously described as...)), Federal Voting Assistance Program, DoD. ACTION: Notice. In compliance with Section 3506(c)(2)(A) of the...
77 FR 25349 - Mutual Insurance Holding Company Treated as Insurance Company
Federal Register 2010, 2011, 2012, 2013, 2014
2012-04-30
... the words ``in which equity and voting rights are vested in the policyholders'' to ``in which rights... rights. Another commenter suggested changing the words ``in which equity and voting rights are vested in the policyholders'' to ``in which equity, voting rights and control are vested in the policyholders...
20 CFR 638.535 - Voting rights.
Code of Federal Regulations, 2011 CFR
2011-04-01
... 20 Employees' Benefits 3 2011-04-01 2011-04-01 false Voting rights. 638.535 Section 638.535 Employees' Benefits EMPLOYMENT AND TRAINING ADMINISTRATION, DEPARTMENT OF LABOR JOB CORPS PROGRAM UNDER TITLE IV-B OF THE JOB TRAINING PARTNERSHIP ACT Center Operations § 638.535 Voting rights. The Job Corps...
The Extension of the Voting Rights Act: The Case of Arizona.
ERIC Educational Resources Information Center
Garcia, John A.
Although Arizona's Chicano population has increased since 1960, their generally lower socioeconomic status has had a direct impact on their voting participation. Such problems as language, altered polling places and precinct boundaries, absence of bilingual staff, and literacy tests have also contributed to the voting difficulties encountered by…
28 CFR 55.2 - Purpose; standards for measuring compliance.
Code of Federal Regulations, 2011 CFR
2011-07-01
... PROVISIONS OF THE VOTING RIGHTS ACT REGARDING LANGUAGE MINORITY GROUPS General Provisions § 55.2 Purpose... interpretation of the provisions of the Voting Rights Act which require certain States and political subdivisions... of the Act of changes with respect to voting, in the consideration of the need for litigation to...
28 CFR 16.201 - Voting by the Commissioners without joint deliberation.
Code of Federal Regulations, 2010 CFR
2010-07-01
... 28 Judicial Administration 1 2010-07-01 2010-07-01 false Voting by the Commissioners without joint deliberation. 16.201 Section 16.201 Judicial Administration DEPARTMENT OF JUSTICE PRODUCTION OR DISCLOSURE OF MATERIAL OR INFORMATION Public Observation of Parole Commission Meetings § 16.201 Voting by the...
Voting Rights Issues in the New Millennium.
ERIC Educational Resources Information Center
Ryan, John Paul, Ed.
2001-01-01
This publication examines ways to teach about law in the liberal arts. This issue focuses on future voting rights issues by exploring the 2000 presidential election. Articles included are: "Voting Rights in the New Millennium" (Jason F. Kirksey); "Legal and Political Lessons from 'Bush v. Gore'" (David Schultz); "The…
12 CFR 239.56 - Vote by members.
Code of Federal Regulations, 2013 CFR
2013-01-01
... 12 Banks and Banking 4 2013-01-01 2013-01-01 false Vote by members. 239.56 Section 239.56 Banks and Banking FEDERAL RESERVE SYSTEM (CONTINUED) BOARD OF GOVERNORS OF THE FEDERAL RESERVE SYSTEM (CONTINUED) MUTUAL HOLDING COMPANIES (REGULATION MM) Conversions From Mutual to Stock Form § 239.56 Vote by...
12 CFR 239.56 - Vote by members.
Code of Federal Regulations, 2012 CFR
2012-01-01
... 12 Banks and Banking 4 2012-01-01 2012-01-01 false Vote by members. 239.56 Section 239.56 Banks and Banking FEDERAL RESERVE SYSTEM (CONTINUED) BOARD OF GOVERNORS OF THE FEDERAL RESERVE SYSTEM (CONTINUED) MUTUAL HOLDING COMPANIES (REGULATION MM) Conversions from Mutual to Stock Form § 239.56 Vote by...
12 CFR 239.56 - Vote by members.
Code of Federal Regulations, 2014 CFR
2014-01-01
... 12 Banks and Banking 4 2014-01-01 2014-01-01 false Vote by members. 239.56 Section 239.56 Banks and Banking FEDERAL RESERVE SYSTEM (CONTINUED) BOARD OF GOVERNORS OF THE FEDERAL RESERVE SYSTEM (CONTINUED) MUTUAL HOLDING COMPANIES (REGULATION MM) Conversions From Mutual to Stock Form § 239.56 Vote by...
48 CFR 9901.310 - Board action.
Code of Federal Regulations, 2010 CFR
2010-10-01
... 48 Federal Acquisition Regulations System 7 2010-10-01 2010-10-01 false Board action. 9901.310... PROCUREMENT POLICY, OFFICE OF MANAGEMENT AND BUDGET ADMINISTRATION RULES AND PROCEDURES 9901.310 Board action. Board action shall be by majority vote of the members present and voting, except that any vote to...
48 CFR 9901.310 - Board action.
Code of Federal Regulations, 2011 CFR
2011-10-01
... 48 Federal Acquisition Regulations System 7 2011-10-01 2011-10-01 false Board action. 9901.310... PROCUREMENT POLICY, OFFICE OF MANAGEMENT AND BUDGET ADMINISTRATION RULES AND PROCEDURES 9901.310 Board action. Board action shall be by majority vote of the members present and voting, except that any vote to...
ERIC Educational Resources Information Center
Social Education, 2008
2008-01-01
The United States has a system of voting for a president that is unique among western democracies. Rather than vote directly for a president or entrust the presidential election to a parliament, Americans instead vote for statewide slates of electors who are pledged to a candidate. The successful electors become the members of the Electoral…
Monocular Visual Odometry Based on Trifocal Tensor Constraint
NASA Astrophysics Data System (ADS)
Chen, Y. J.; Yang, G. L.; Jiang, Y. X.; Liu, X. Y.
2018-02-01
For the problem of real-time precise localization in the urban street, a monocular visual odometry based on Extend Kalman fusion of optical-flow tracking and trifocal tensor constraint is proposed. To diminish the influence of moving object, such as pedestrian, we estimate the motion of the camera by extracting the features on the ground, which improves the robustness of the system. The observation equation based on trifocal tensor constraint is derived, which can form the Kalman filter alone with the state transition equation. An Extend Kalman filter is employed to cope with the nonlinear system. Experimental results demonstrate that, compares with Yu’s 2-step EKF method, the algorithm is more accurate which meets the needs of real-time accurate localization in cities.
Cortisol and politics: variance in voting behavior is predicted by baseline cortisol levels.
French, Jeffrey A; Smith, Kevin B; Alford, John R; Guck, Adam; Birnie, Andrew K; Hibbing, John R
2014-06-22
Participation in electoral politics is affected by a host of social and demographics variables, but there is growing evidence that biological predispositions may also play a role in behavior related to political involvement. We examined the role of individual variation in hypothalamic-pituitary-adrenal (HPA) stress axis parameters in explaining differences in self-reported and actual participation in political activities. Self-reported political activity, religious participation, and verified voting activity in U.S. national elections were collected from 105 participants, who were subsequently exposed to a standardized (nonpolitical) psychosocial stressor. We demonstrated that lower baseline salivary cortisol in the late afternoon was significantly associated with increased actual voting frequency in six national elections, but not with self-reported non-voting political activity. Baseline cortisol predicted significant variation in voting behavior above and beyond variation accounted for by traditional demographic variables (particularly age of participant in our sample). Participation in religious activity was weakly (and negatively) associated with baseline cortisol. Our results suggest that HPA-mediated characteristics of social, cognitive, and emotional processes may exert an influence on a trait as complex as voting behavior, and that cortisol is a better predictor of actual voting behavior, as opposed to self-reported political activity. Copyright © 2014 Elsevier Inc. All rights reserved.
Cortisol and Politics: Variance in Voting Behavior is Predicted by Baseline Cortisol Levels
French, Jeffrey A.; Smith, Kevin B.; Alford, John R.; Guck, Adam; Birnie, Andrew K.; Hibbing, John R.
2014-01-01
Participation in electoral politics is affected by a host of social and demographics variables, but there is growing evidence that biological predispositions may also play a role in behavior related to political involvement. We examined the role of individual variation in hypothalamic-pituitary-adrenal (HPA) stress axis parameters in explaining differences in self-reported and actual participation in political activities. Self-reported political activity, religious participation, and verified voting activity in U.S. national elections were collected from 105 participants, who were subsequently exposed to a standardized (nonpolitical) psychosocial stressor. We demonstrated that lower baseline salivary cortisol in the late afternoon was significantly associated with increased actual voting frequency in six national elections, but not with self-reported non-voting political activity. Baseline cortisol predicted significant variation in voting behavior above and beyond variation accounted for by traditional demographic variables (particularly age of participant in our sample). Participation in religious activity was weakly (and negatively) associated with baseline cortisol. Our results suggest that HPA-mediated characteristics of social, cognitive, and emotional processes may exert an influence on a trait as complex as voting behavior, and that cortisol is a better predictor of actual voting behavior, as opposed to self-reported political activity. PMID:24835544
Regenwetter, Michel; Ho, Moon-Ho R; Tsetlin, Ilia
2007-10-01
This project reconciles historically distinct paradigms at the interface between individual and social choice theory, as well as between rational and behavioral decision theory. The authors combine a utility-maximizing prescriptive rule for sophisticated approval voting with the ignorance prior heuristic from behavioral decision research and two types of plurality heuristics to model approval voting behavior. When using a sincere plurality heuristic, voters simplify their decision process by voting for their single favorite candidate. When using a strategic plurality heuristic, voters strategically focus their attention on the 2 front-runners and vote for their preferred candidate among these 2. Using a hierarchy of Thurstonian random utility models, the authors implemented these different decision rules and tested them statistically on 7 real world approval voting elections. They cross-validated their key findings via a psychological Internet experiment. Although a substantial number of voters used the plurality heuristic in the real elections, they did so sincerely, not strategically. Moreover, even though Thurstonian models do not force such agreement, the results show, in contrast to common wisdom about social choice rules, that the sincere social orders by Condorcet, Borda, plurality, and approval voting are identical in all 7 elections and in the Internet experiment. PsycINFO Database Record (c) 2007 APA, all rights reserved.
An improved two-dimensional depth-integrated flow equation for rough-walled fractures
NASA Astrophysics Data System (ADS)
Mallikamas, Wasin; Rajaram, Harihar
2010-08-01
We present the development of an improved 2-D flow equation for rough-walled fractures. Our improved equation accounts for the influence of midsurface tortuosity and the fact that the aperture normal to the midsurface is in general smaller than the vertical aperture. It thus improves upon the well-known Reynolds equation that is widely used for modeling flow in fractures. Unlike the Reynolds equation, our approach begins from the lubrication approximation applied in an inclined local coordinate system tangential to the fracture midsurface. The local flow equation thus obtained is rigorously transformed to an arbitrary global Cartesian coordinate system, invoking the concepts of covariant and contravariant transformations for vectors defined on surfaces. Unlike previously proposed improvements to the Reynolds equation, our improved flow equation accounts for tortuosity both along and perpendicular to a flow path. Our approach also leads to a well-defined anisotropic local transmissivity tensor relating the representations of the flux and head gradient vectors in a global Cartesian coordinate system. We show that the principal components of the transmissivity tensor and the orientation of its principal axes depend on the directional local midsurface slopes. In rough-walled fractures, the orientations of the principal axes of the local transmissivity tensor will vary from point to point. The local transmissivity tensor also incorporates the influence of the local normal aperture, which is uniquely defined at each point in the fracture. Our improved flow equation is a rigorous statement of mass conservation in any global Cartesian coordinate system. We present three examples of simple geometries to compare our flow equation to analytical solutions obtained using the exact Stokes equations: an inclined parallel plate, and circumferential and axial flows in an incomplete annulus. The effective transmissivities predicted by our flow equation agree very well with values obtained using the exact Stokes equations in all these cases. We discuss potential limitations of our depth-integrated equation, which include the neglect of convergence/divergence and the inaccuracies implicit in any depth-averaging process near sharp corners where the wall and midsurface curvatures are large.
Student Consumerism in Higher Education.
ERIC Educational Resources Information Center
Gordon, Suzanne E.
1979-01-01
The student rights protests of the 1960s, the 26th Amendment granting 18-year-olds the right to vote, and the demise of in loco parentis greatly changed student-institutional relationships. Yet these relationships can be improved only by increased consumer protection. Institutional opinions on consumer issues need to be heard. (Author)
A new method for automated discontinuity trace mapping on rock mass 3D surface model
NASA Astrophysics Data System (ADS)
Li, Xiaojun; Chen, Jianqin; Zhu, Hehua
2016-04-01
This paper presents an automated discontinuity trace mapping method on a 3D surface model of rock mass. Feature points of discontinuity traces are first detected using the Normal Tensor Voting Theory, which is robust to noisy point cloud data. Discontinuity traces are then extracted from feature points in four steps: (1) trace feature point grouping, (2) trace segment growth, (3) trace segment connection, and (4) redundant trace segment removal. A sensitivity analysis is conducted to identify optimal values for the parameters used in the proposed method. The optimal triangular mesh element size is between 5 cm and 6 cm; the angle threshold in the trace segment growth step is between 70° and 90°; the angle threshold in the trace segment connection step is between 50° and 70°, and the distance threshold should be at least 15 times the mean triangular mesh element size. The method is applied to the excavation face trace mapping of a drill-and-blast tunnel. The results show that the proposed discontinuity trace mapping method is fast and effective and could be used as a supplement to traditional direct measurement of discontinuity traces.
Duarte-Carvajalino, Julio M.; Sapiro, Guillermo; Harel, Noam; Lenglet, Christophe
2013-01-01
Registration of diffusion-weighted magnetic resonance images (DW-MRIs) is a key step for population studies, or construction of brain atlases, among other important tasks. Given the high dimensionality of the data, registration is usually performed by relying on scalar representative images, such as the fractional anisotropy (FA) and non-diffusion-weighted (b0) images, thereby ignoring much of the directional information conveyed by DW-MR datasets itself. Alternatively, model-based registration algorithms have been proposed to exploit information on the preferred fiber orientation(s) at each voxel. Models such as the diffusion tensor or orientation distribution function (ODF) have been used for this purpose. Tensor-based registration methods rely on a model that does not completely capture the information contained in DW-MRIs, and largely depends on the accurate estimation of tensors. ODF-based approaches are more recent and computationally challenging, but also better describe complex fiber configurations thereby potentially improving the accuracy of DW-MRI registration. A new algorithm based on angular interpolation of the diffusion-weighted volumes was proposed for affine registration, and does not rely on any specific local diffusion model. In this work, we first extensively compare the performance of registration algorithms based on (i) angular interpolation, (ii) non-diffusion-weighted scalar volume (b0), and (iii) diffusion tensor image (DTI). Moreover, we generalize the concept of angular interpolation (AI) to non-linear image registration, and implement it in the FMRIB Software Library (FSL). We demonstrate that AI registration of DW-MRIs is a powerful alternative to volume and tensor-based approaches. In particular, we show that AI improves the registration accuracy in many cases over existing state-of-the-art algorithms, while providing registered raw DW-MRI data, which can be used for any subsequent analysis. PMID:23596381
Duarte-Carvajalino, Julio M; Sapiro, Guillermo; Harel, Noam; Lenglet, Christophe
2013-01-01
Registration of diffusion-weighted magnetic resonance images (DW-MRIs) is a key step for population studies, or construction of brain atlases, among other important tasks. Given the high dimensionality of the data, registration is usually performed by relying on scalar representative images, such as the fractional anisotropy (FA) and non-diffusion-weighted (b0) images, thereby ignoring much of the directional information conveyed by DW-MR datasets itself. Alternatively, model-based registration algorithms have been proposed to exploit information on the preferred fiber orientation(s) at each voxel. Models such as the diffusion tensor or orientation distribution function (ODF) have been used for this purpose. Tensor-based registration methods rely on a model that does not completely capture the information contained in DW-MRIs, and largely depends on the accurate estimation of tensors. ODF-based approaches are more recent and computationally challenging, but also better describe complex fiber configurations thereby potentially improving the accuracy of DW-MRI registration. A new algorithm based on angular interpolation of the diffusion-weighted volumes was proposed for affine registration, and does not rely on any specific local diffusion model. In this work, we first extensively compare the performance of registration algorithms based on (i) angular interpolation, (ii) non-diffusion-weighted scalar volume (b0), and (iii) diffusion tensor image (DTI). Moreover, we generalize the concept of angular interpolation (AI) to non-linear image registration, and implement it in the FMRIB Software Library (FSL). We demonstrate that AI registration of DW-MRIs is a powerful alternative to volume and tensor-based approaches. In particular, we show that AI improves the registration accuracy in many cases over existing state-of-the-art algorithms, while providing registered raw DW-MRI data, which can be used for any subsequent analysis.
Rodriguez, Javier M.; Geronimus, Arline T.; Bound, John; Dorling, Danny
2015-01-01
Excess mortality in marginalized populations could be both a cause and an effect of political processes. We estimate the impact of mortality differentials between blacks and whites from 1970 to 2004 on the racial composition of the electorate in the US general election of 2004 and in close statewide elections during the study period. We analyze 73 million US deaths from the Multiple Cause of Death files to calculate: (1) Total excess deaths among blacks between 1970 and 2004, (2) total hypothetical survivors to 2004, (3) the probability that survivors would have turned out to vote in 2004, (4) total black votes lost in 2004, and (5) total black votes lost by each presidential candidate. We estimate 2.7 million excess black deaths between 1970 and 2004. Of those, 1.9 million would have survived until 2004, of which over 1.7 million would have been of voting-age. We estimate that 1 million black votes were lost in 2004; of these, 900,000 votes were lost by the defeated Democratic presidential nominee. We find that many close state-level elections over the study period would likely have had different outcomes if voting age blacks had the mortality profiles of whites. US black voting rights are also eroded through felony disenfranchisement laws and other measures that dampen the voice of the US black electorate. Systematic disenfranchisement by population group yields an electorate that is unrepresentative of the full interests of the citizenry and affects the chance that elected officials have mandates to eliminate health inequality. PMID:25934268
Rodriguez, Javier M; Geronimus, Arline T; Bound, John; Dorling, Danny
2015-07-01
Excess mortality in marginalized populations could be both a cause and an effect of political processes. We estimate the impact of mortality differentials between blacks and whites from 1970 to 2004 on the racial composition of the electorate in the US general election of 2004 and in close statewide elections during the study period. We analyze 73 million US deaths from the Multiple Cause of Death files to calculate: (1) Total excess deaths among blacks between 1970 and 2004, (2) total hypothetical survivors to 2004, (3) the probability that survivors would have turned out to vote in 2004, (4) total black votes lost in 2004, and (5) total black votes lost by each presidential candidate. We estimate 2.7 million excess black deaths between 1970 and 2004. Of those, 1.9 million would have survived until 2004, of which over 1.7 million would have been of voting-age. We estimate that 1 million black votes were lost in 2004; of these, 900,000 votes were lost by the defeated Democratic presidential nominee. We find that many close state-level elections over the study period would likely have had different outcomes if voting age blacks had the mortality profiles of whites. US black voting rights are also eroded through felony disenfranchisement laws and other measures that dampen the voice of the US black electorate. Systematic disenfranchisement by population group yields an electorate that is unrepresentative of the full interests of the citizenry and affects the chance that elected officials have mandates to eliminate health inequality. Copyright © 2015 Elsevier Ltd. All rights reserved.
A bill to approve the Keystone XL Pipeline.
Sen. Hoeven, John [R-ND
2014-05-01
Senate - 11/18/2014 Under the order of 11/12/14, not having achieved 60 votes in the affirmative, failed of passage in Senate by Yea-Nay Vote. 59 - 41. Record Vote Number: 280. (All Actions) Tracker: This bill has the status Failed SenateHere are the steps for Status of Legislation:
Sen. Klobuchar, Amy [D-MN
2011-10-31
Senate - 11/03/2011 Motion to proceed to consideration of measure under the order of 11/2/2011, not having achieved 60 votes in the affirmative, was rejected in Senate by Yea-Nay Vote. 51 - 49. Record Vote Number: 195. (All Actions) Tracker: This bill has the status IntroducedHere are the steps for Status of Legislation:
Clickers and Classroom Voting in a Transition to Advanced Mathematics Course
ERIC Educational Resources Information Center
Lockard, Shannon R.; Metcalf, Rebecca C.
2015-01-01
Clickers and classroom voting are used across a number of disciplines in a variety of institutions. There are several papers that describe the use of clickers in mathematics classrooms such as precalculus, calculus, statistics, and even differential equations. This paper describes a method of incorporating clickers and classroom voting in a…
75 FR 79417 - Record of Vote of Meeting Closure
Federal Register 2010, 2011, 2012, 2013, 2014
2010-12-20
...] Record of Vote of Meeting Closure I, Isaac Fulwood, of the United States Parole Commission, was present... following Commissioners voted that the meeting be closed: Isaac Fulwood, Cranston J. Mitchell and Patricia K.... Isaac Fulwood, Chairman, U.S. Parole Commission. [FR Doc. 2010-31860 Filed 12-17-10; 8:45 am] BILLING...
76 FR 13377 - Publication of State Plan Pursuant to the Help America Vote Act
Federal Register 2010, 2011, 2012, 2013, 2014
2011-03-11
... ELECTION ASSISTANCE COMMISSION Publication of State Plan Pursuant to the Help America Vote Act AGENCY: U.S. Election Assistance Commission (EAC). ACTION: Notice. SUMMARY: Pursuant to Sections 254(a)(11)(A) and 255(b) of the Help America Vote Act (HAVA), Public Law 107-252, the U.S. Election...
75 FR 16764 - Publication of State Plan Pursuant to the Help America Vote Act
Federal Register 2010, 2011, 2012, 2013, 2014
2010-04-02
... ELECTION ASSISTANCE COMMISSION Publication of State Plan Pursuant to the Help America Vote Act AGENCY: U.S. Election Assistance Commission (EAC). ACTION: Notice. SUMMARY: Pursuant to sections 254(a)(11)(A) and 255(b) of the Help America Vote Act (HAVA), Public Law 107-252, the U.S. Election...
75 FR 6643 - Publication of State Plan Pursuant to the Help America Vote Act
Federal Register 2010, 2011, 2012, 2013, 2014
2010-02-10
... ELECTION ASSISTANCE COMMISSION Publication of State Plan Pursuant to the Help America Vote Act AGENCY: U.S. Election Assistance Commission (EAC). ACTION: Notice. SUMMARY: Pursuant to sections 254(a)(11)(A) and 255(b) of the Help America Vote Act (HAVA), Public Law 107-252, the U.S. Election...
75 FR 27743 - Publication of State Plan Pursuant to the Help America Vote Act
Federal Register 2010, 2011, 2012, 2013, 2014
2010-05-18
... ELECTION ASSISTANCE COMMISSION Publication of State Plan Pursuant to the Help America Vote Act AGENCY: Election Assistance Commission (EAC). ACTION: Notice. SUMMARY: Pursuant to sections 254(a)(11)(A) and 255(b) of the Help America Vote Act (HAVA), Public Law 107-252, the U.S. Election Assistance...
75 FR 39671 - Publication of State Plan Pursuant to the Help America Vote Act
Federal Register 2010, 2011, 2012, 2013, 2014
2010-07-12
... ELECTION ASSISTANCE COMMISSION Publication of State Plan Pursuant to the Help America Vote Act AGENCY: U.S. Election Assistance Commission (EAC). ACTION: Notice. SUMMARY: Pursuant to Sections 254(a)(11)(A) and 255(b) of the Help America Vote Act (HAVA), Public Law 107-252, the U.S. Election...
75 FR 41454 - Publication of State Plan Pursuant to the Help America Vote Act
Federal Register 2010, 2011, 2012, 2013, 2014
2010-07-16
... ELECTION ASSISTANCE COMMISSION Publication of State Plan Pursuant to the Help America Vote Act AGENCY: U.S. Election Assistance Commission (EAC). ACTION: Notice. SUMMARY: Pursuant to Sections 254(a)(11)(A) and 255(b) of the Help America Vote Act (HAVA), Public Law 107-252, the U.S. Election...
75 FR 75969 - Publication of State Plan Pursuant to the Help America Vote Act
Federal Register 2010, 2011, 2012, 2013, 2014
2010-12-07
... ELECTION ASSISTANCE COMMISSION Publication of State Plan Pursuant to the Help America Vote Act AGENCY: U.S. Election Assistance Commission (EAC). ACTION: Notice. SUMMARY: Pursuant to Sections 254(a)(11)(A) and 255(b) of the Help America Vote Act (HAVA), Public Law 107-252, the U.S. Election...
Why Voters Turn Out for Tax Limitation Votes.
ERIC Educational Resources Information Center
Gramlich, Edward M.; And Others
1981-01-01
A survey following a 1978 Michigan tax-limitation election indicates that tax-limit supporters were far more likely to vote than were opponents. This supports the "alienation" hypothesis that voters who differ from the majority will be less likely to vote. Available from Executive Director, NTA-TIA, 21 East State Street, Columbus, OH…
Safe Communities, Safe Schools Act of 2013
Sen. Reid, Harry [D-NV
2013-03-21
Senate - 04/18/2013 Amendment SA 730, under the order of 4/16/13, having achieved 60 votes in the affirmative, was agreed to in Senate by Yea-Nay Vote. 95 - 2. Record Vote Number: 105. (All Actions) Tracker: This bill has the status IntroducedHere are the steps for Status of Legislation:
17 CFR 240.12b-2 - Definitions.
Code of Federal Regulations, 2012 CFR
2012-04-01
... the end of its fiscal year: (i) The issuer had an aggregate worldwide market value of the voting and... following conditions as of the end of its fiscal year: (i) The issuer had an aggregate worldwide market... worldwide market value of the voting and non-voting common equity held by non-affiliates of the issuer was...
Faculty Voting Behavior in Temple University Collective Bargaining Elections.
ERIC Educational Resources Information Center
Mortimer, Kenneth P.; Ross, Naomi V.
This document reports on a survey of faculty voting behavior. The survey was months after a second election was held to determine whether or not faculty and support professionals at Temple University would be represented by a collective bargaining agent. The survey focused on the relationship between voting behavior and two potential sources of…
22 CFR 1300.5 - Quorum and voting requirements.
Code of Federal Regulations, 2010 CFR
2010-04-01
... 22 Foreign Relations 2 2010-04-01 2010-04-01 true Quorum and voting requirements. 1300.5 Section 1300.5 Foreign Relations MILLENNIUM CHALLENGE CORPORATION ORGANIZATION AND FUNCTIONS OF THE MILLENNIUM CHALLENGE CORPORATION § 1300.5 Quorum and voting requirements. (a) Quorum requirements. A majority of the members of the Board shall constitute a...
12 CFR 708a.7 - Certification of vote on conversion proposal.
Code of Federal Regulations, 2011 CFR
2011-01-01
... 12 Banks and Banking 6 2011-01-01 2011-01-01 false Certification of vote on conversion proposal... CREDIT UNIONS BANK CONVERSIONS AND MERGERS Conversion of Insured Credit Unions to Mutual Savings Banks § 708a.7 Certification of vote on conversion proposal. (a) The board of directors of the converting...
12 CFR 708a.7 - Certification of vote on conversion proposal.
Code of Federal Regulations, 2010 CFR
2010-01-01
... 12 Banks and Banking 6 2010-01-01 2010-01-01 false Certification of vote on conversion proposal... CREDIT UNIONS CONVERSION OF INSURED CREDIT UNIONS TO MUTUAL SAVINGS BANKS § 708a.7 Certification of vote on conversion proposal. (a) The board of directors of the converting credit union must certify the...
29 CFR 1209.06 - Action necessary to close meetings; record of votes.
Code of Federal Regulations, 2010 CFR
2010-07-01
... 29 Labor 4 2010-07-01 2010-07-01 false Action necessary to close meetings; record of votes. 1209.06 Section 1209.06 Labor Regulations Relating to Labor (Continued) NATIONAL MEDIATION BOARD PUBLIC OBSERVATION OF NATIONAL MEDIATION BOARD MEETINGS § 1209.06 Action necessary to close meetings; record of votes...
75 FR 11988 - Aviation Proceedings, Agreements Filed the Week Ending February 27, 2010
Federal Register 2010, 2011, 2012, 2013, 2014
2010-03-12
... Air Transport Association. Subject: Mail Vote 625--Resolution 010p, TC3 Japan, Korea-South East Asia...: Members of the International Air Transport Association. Subject: PTC COMP Mail Vote 620, Resolution 024d... International Air Transport Association. Subject: PTC COMP Mail Vote 626, Resolution 011a, Mileage Manual Non TC...
11 CFR 100.133 - Voter registration and get-out-the-vote activities.
Code of Federal Regulations, 2010 CFR
2010-01-01
... 11 Federal Elections 1 2010-01-01 2010-01-01 false Voter registration and get-out-the-vote activities. 100.133 Section 100.133 Federal Elections FEDERAL ELECTION COMMISSION GENERAL SCOPE AND DEFINITIONS (2 U.S.C. 431) Exceptions to Expenditures § 100.133 Voter registration and get-out-the-vote...
Code of Federal Regulations, 2011 CFR
2011-01-01
... § 802.4 Acquisitions of voting securities of issuers or non-corporate interests in unincorporated... 16 Commercial Practices 1 2011-01-01 2011-01-01 false Acquisitions of voting securities of issuers or non-corporate interests in unincorporated entities holding certain assets the acquisition of which...
Code of Federal Regulations, 2010 CFR
2010-01-01
... § 802.4 Acquisitions of voting securities of issuers or non-corporate interests in unincorporated... 16 Commercial Practices 1 2010-01-01 2010-01-01 false Acquisitions of voting securities of issuers or non-corporate interests in unincorporated entities holding certain assets the acquisition of which...
Analysis of Spatial Voting Patterns: An Approach in Political Socialization
ERIC Educational Resources Information Center
Klimasewski, Ted
1973-01-01
Passage of the 26th Amendment gave young adults the right to vote. This study attempts to further student understanding of the electoral process by presenting a method for analyzing spatial voting patterns. The spatial emphasis adds another dimension to the temporal and behavioral-structural approaches in studying the American electoral system.…
Federal Register 2010, 2011, 2012, 2013, 2014
2013-02-11
... Collection; Comments Requested: Procedures for the Administration of Section 5 of the Voting Rights Act of... Administration of Section 5 of the Voting Rights Act of 1965 (3) Agency form number: None (4) Affected public who... Government. Other: None. Abstract: Jurisdictions specially covered under the Voting Rights Act are required...
28 CFR 51.52 - Basic standard.
Code of Federal Regulations, 2010 CFR
2010-07-01
... THE VOTING RIGHTS ACT OF 1965, AS AMENDED Determinations by the Attorney General § 51.52 Basic standard. (a) Surrogate for the court. Section 5 provides for submission of a voting change to the Attorney... has the purpose or will have the effect of denying or abridging the right to vote on account of race...
28 CFR 51.12 - Scope of requirement.
Code of Federal Regulations, 2010 CFR
2010-07-01
... THE VOTING RIGHTS ACT OF 1965, AS AMENDED General Provisions § 51.12 Scope of requirement. Any change affecting voting, even though it appears to be minor or indirect, returns to a prior practice or procedure, ostensibly expands voting rights, or is designed to remove the elements that caused objection by the Attorney...
28 CFR 51.23 - Party and jurisdiction responsible for making submissions.
Code of Federal Regulations, 2011 CFR
2011-07-01
...) PROCEDURES FOR THE ADMINISTRATION OF SECTION 5 OF THE VOTING RIGHTS ACT OF 1965, AS AMENDED Procedures for...) Changes affecting voting shall be submitted by the chief legal officer or other appropriate official of... State, whether partially or fully covered, has authority to submit any voting change on behalf of its...
28 CFR 51.35 - Disposition of inappropriate submissions and resubmissions.
Code of Federal Regulations, 2011 CFR
2011-07-01
...) PROCEDURES FOR THE ADMINISTRATION OF SECTION 5 OF THE VOTING RIGHTS ACT OF 1965, AS AMENDED Processing of...) Matters that are not appropriate for a merits response include: (1) Changes that do not affect voting (see...) Changes that previously have received preclearance; (4) Changes that affect voting but are not subject to...
28 CFR 51.8 - Section 3 coverage.
Code of Federal Regulations, 2011 CFR
2011-07-01
... THE VOTING RIGHTS ACT OF 1965, AS AMENDED General Provisions § 51.8 Section 3 coverage. Under section 3(c) of the Act, a court in voting rights litigation can order as relief that a jurisdiction not subject to the preclearance requirement of section 5 preclear its voting changes by submitting them either...
28 CFR 51.24 - Address for submissions.
Code of Federal Regulations, 2010 CFR
2010-07-01
... SECTION 5 OF THE VOTING RIGHTS ACT OF 1965, AS AMENDED Procedures for Submission to the Attorney General... submission shall be clearly marked: Submission under section 5 of the Voting Rights Act. [Order 1214-87, 52... General via the U.S. Postal Service shall be addressed to the Chief, Voting Section, Civil Rights Division...
28 CFR 55.6 - Coverage under section 203(c).
Code of Federal Regulations, 2011 CFR
2011-07-01
... THE VOTING RIGHTS ACT REGARDING LANGUAGE MINORITY GROUPS Nature of Coverage § 55.6 Coverage under... subdivision approach. A political subdivision is covered if— (i) More than 5 percent of its voting age... which more than 5 percent of the voting age citizens are members of a single language minority and are...
28 CFR 55.6 - Coverage under section 203(c).
Code of Federal Regulations, 2010 CFR
2010-07-01
... THE VOTING RIGHTS ACT REGARDING LANGUAGE MINORITY GROUPS Nature of Coverage § 55.6 Coverage under... subdivision approach. A political subdivision is covered if— (i) More than 5 percent of its voting age... which more than 5 percent of the voting age citizens are members of a single language minority and are...
28 CFR 51.52 - Basic standard.
Code of Federal Regulations, 2011 CFR
2011-07-01
... THE VOTING RIGHTS ACT OF 1965, AS AMENDED Determinations by the Attorney General § 51.52 Basic standard. (a) Surrogate for the court. Section 5 provides for submission of a voting change to the Attorney... neither has the purpose nor will have the effect of denying or abridging the right to vote on account of...
28 CFR 51.49 - Absence of judicial review.
Code of Federal Regulations, 2010 CFR
2010-07-01
... SECTION 5 OF THE VOTING RIGHTS ACT OF 1965, AS AMENDED Processing of Submissions § 51.49 Absence of... objection is not reviewable. The preclearance by the Attorney General of a voting change does not constitute the certification that the voting change satisfies any other requirement of the law beyond that of...
28 CFR 51.24 - Delivery of submissions.
Code of Federal Regulations, 2011 CFR
2011-07-01
... SECTION 5 OF THE VOTING RIGHTS ACT OF 1965, AS AMENDED Procedures for Submission to the Attorney General... envelope (if any), shall be clearly marked: “Submission under Section 5 of the Voting Rights Act.” (g) The... Chief, Voting Section, Civil Rights Division, United States Department of Justice, Room 7254-NWB, 950...
28 CFR 51.8 - Section 3 coverage.
Code of Federal Regulations, 2010 CFR
2010-07-01
... THE VOTING RIGHTS ACT OF 1965, AS AMENDED General Provisions § 51.8 Section 3 coverage. Under section 3(c) of the Act, a court in voting rights litigation can order as relief that a jurisdiction not subject to the preclearance requirement of section 5 preclear its voting changes by submitting them either...
28 CFR 55.4 - Effective date; list of covered jurisdictions.
Code of Federal Regulations, 2010 CFR
2010-07-01
... PROVISIONS OF THE VOTING RIGHTS ACT REGARDING LANGUAGE MINORITY GROUPS Nature of Coverage § 55.4 Effective date; list of covered jurisdictions. (a) The minority language provisions of the Voting Rights Act were added by the Voting Rights Act Amendments of 1975. (1) The requirements of section 4(f)(4) take effect...
28 CFR 55.12 - Language used for written material.
Code of Federal Regulations, 2010 CFR
2010-07-01
... OF THE VOTING RIGHTS ACT REGARDING LANGUAGE MINORITY GROUPS Determining the Exact Language § 55.12... voting-age citizens who are members of the language minority group. (b) Languages with more than one... materials is the one most widely used by the jurisdiction's voting-age citizens who are members of the...
28 CFR 55.4 - Effective date; list of covered jurisdictions.
Code of Federal Regulations, 2011 CFR
2011-07-01
... PROVISIONS OF THE VOTING RIGHTS ACT REGARDING LANGUAGE MINORITY GROUPS Nature of Coverage § 55.4 Effective date; list of covered jurisdictions. (a) The minority language provisions of the Voting Rights Act were added by the Voting Rights Act Amendments of 1975. (1) The requirements of section 4(f)(4) take effect...
28 CFR 51.49 - Absence of judicial review.
Code of Federal Regulations, 2011 CFR
2011-07-01
... SECTION 5 OF THE VOTING RIGHTS ACT OF 1965, AS AMENDED Processing of Submissions § 51.49 Absence of... objection is not reviewable. The preclearance by the Attorney General of a voting change does not constitute the certification that the voting change satisfies any other requirement of the law beyond that of...
28 CFR 55.12 - Language used for written material.
Code of Federal Regulations, 2011 CFR
2011-07-01
... OF THE VOTING RIGHTS ACT REGARDING LANGUAGE MINORITY GROUPS Determining the Exact Language § 55.12... voting-age citizens who are members of the language minority group. (b) Languages with more than one... materials is the one most widely used by the jurisdiction's voting-age citizens who are members of the...
28 CFR 51.12 - Scope of requirement.
Code of Federal Regulations, 2011 CFR
2011-07-01
... THE VOTING RIGHTS ACT OF 1965, AS AMENDED General Provisions § 51.12 Scope of requirement. Except as... affecting voting, even though it appears to be minor or indirect, returns to a prior practice or procedure, seemingly expands voting rights, or is designed to remove the elements that caused the Attorney General to...
25 CFR 81.6 - Entitlement to vote.
Code of Federal Regulations, 2013 CFR
2013-04-01
... member regardless of residence shall be entitled to vote on the adoption of a constitution and bylaws. (2... adoption of a constitution and bylaws by either arriving at a polling place or by requesting, properly... for the tribe before it becomes entitled to vote on the adoption of a constitution. (d) For a...
17 CFR 240.12b-2 - Definitions.
Code of Federal Regulations, 2010 CFR
2010-04-01
... non-voting common equity held by its non-affiliates of $75 million or more, but less than $700 million... value of the voting and non-voting common equity held by its non-affiliates of $700 million or more, as... issuer's fiscal year for whether a non-accelerated filer becomes an accelerated filer, or whether a non...
17 CFR 240.12b-2 - Definitions.
Code of Federal Regulations, 2014 CFR
2014-04-01
... non-voting common equity held by its non-affiliates of $75 million or more, but less than $700 million... value of the voting and non-voting common equity held by its non-affiliates of $700 million or more, as... issuer's fiscal year for whether a non-accelerated filer becomes an accelerated filer, or whether a non...
17 CFR 240.12b-2 - Definitions.
Code of Federal Regulations, 2013 CFR
2013-04-01
... non-voting common equity held by its non-affiliates of $75 million or more, but less than $700 million... value of the voting and non-voting common equity held by its non-affiliates of $700 million or more, as... issuer's fiscal year for whether a non-accelerated filer becomes an accelerated filer, or whether a non...
Code of Federal Regulations, 2012 CFR
2012-10-01
... Regulations Relating to Public Welfare (Continued) NATIONAL SCIENCE FOUNDATION GOVERNMENT IN THE SUNSHINE ACT REGULATIONS OF THE NATIONAL SCIENCE BOARD § 614.7 Record vote. (a) For purposes of this part a vote of the National Science Board is a “record vote” if: (1) It carries by a majority of all those holding office as...
Code of Federal Regulations, 2013 CFR
2013-10-01
... Regulations Relating to Public Welfare (Continued) NATIONAL SCIENCE FOUNDATION GOVERNMENT IN THE SUNSHINE ACT REGULATIONS OF THE NATIONAL SCIENCE BOARD § 614.7 Record vote. (a) For purposes of this part a vote of the National Science Board is a “record vote” if: (1) It carries by a majority of all those holding office as...
Code of Federal Regulations, 2011 CFR
2011-10-01
... Regulations Relating to Public Welfare (Continued) NATIONAL SCIENCE FOUNDATION GOVERNMENT IN THE SUNSHINE ACT REGULATIONS OF THE NATIONAL SCIENCE BOARD § 614.7 Record vote. (a) For purposes of this part a vote of the National Science Board is a “record vote” if: (1) It carries by a majority of all those holding office as...
Code of Federal Regulations, 2010 CFR
2010-10-01
... Regulations Relating to Public Welfare (Continued) NATIONAL SCIENCE FOUNDATION GOVERNMENT IN THE SUNSHINE ACT REGULATIONS OF THE NATIONAL SCIENCE BOARD § 614.7 Record vote. (a) For purposes of this part a vote of the National Science Board is a “record vote” if: (1) It carries by a majority of all those holding office as...
Code of Federal Regulations, 2014 CFR
2014-10-01
... Regulations Relating to Public Welfare (Continued) NATIONAL SCIENCE FOUNDATION GOVERNMENT IN THE SUNSHINE ACT REGULATIONS OF THE NATIONAL SCIENCE BOARD § 614.7 Record vote. (a) For purposes of this part a vote of the National Science Board is a “record vote” if: (1) It carries by a majority of all those holding office as...
26 CFR 53.4943-7 - Special rules for readjustments involving grandfathered holdings.
Code of Federal Regulations, 2010 CFR
2010-04-01
... of voting stock in a business enterprise owned (directly or indirectly) by a private foundation by... exceeds the greatest percentage of voting stock in any business enterprise owned (directly or indirectly... foundation in the exchange. (ii) If the sum of the percentage of voting stock in a business enterprise owned...
Ill-placed democracy: ethics consultations and the moral status of voting.
Fiester, Autumn M
2011-01-01
As groups around the country begin to craft standards for clinical ethics consultations, one focus of that work is the proper procedure for conducting ethics consults. From a recent empirical look into the workings of ethics consult services (ECSs), one worrisome finding is that some ECSs rely on a committee vote when making a recommendation. This article examines the practice of voting and its moral standing as a procedural strategy for arriving at a clinical ethics recommendation. I focus here on the type of clinical ethics conflicts that are most likely to lead an ECS to vote, namely, conflicts involving ethical uncertainty--or, in the Greek, aporia. I argue that in cases of aporia, voting on an ethics conflict is not a morally justifiable procedure. Then on the same grounds that I use to show that voting is ethically problematic, I raise broader concerns about the common practice of making recommendations by other procedures. In contrast to the standard approach of adjudicating between moral claims, I argue that ECSs can best resolve aporetic conflict through the process of clinical ethics mediation.
Guidelines for Reporting Case Studies on Extracorporeal Treatments in Poisonings: Methodology
Lavergne, Valéry; Ouellet, Georges; Bouchard, Josée; Galvao, Tais; Kielstein, Jan T; Roberts, Darren M; Kanji, Salmaan; Mowry, James B; Calello, Diane P; Hoffman, Robert S; Gosselin, Sophie; Nolin, Thomas D; Goldfarb, David S; Burdmann, Emmanuel A; Dargan, Paul I; Decker, Brian Scott; Hoegberg, Lotte C; Maclaren, Robert; Megarbane, Bruno; Sowinski, Kevin M; Yates, Christopher; Mactier, Robert; Wiegand, Timothy; Ghannoum, Marc
2014-01-01
A literature review performed by the EXtracorporeal TReatments In Poisoning (EXTRIP) workgroup highlighted deficiencies in the existing literature, especially the reporting of case studies. Although general reporting guidelines exist for case studies, there are none in the specific field of extracorporeal treatments in toxicology. Our goal was to construct and propose a checklist that systematically outlines the minimum essential items to be reported in a case study of poisoned patients undergoing extracorporeal treatments. Through a modified two-round Delphi technique, panelists (mostly chosen from the EXTRIP workgroup) were asked to vote on the pertinence of a set of items to identify those considered minimally essential for reporting complete and accurate case reports. Furthermore, independent raters validated the clarity of each selected items between each round of voting. All case reports containing data on extracorporeal treatments in poisoning published in Medline in 2011 were reviewed during the external validation rounds. Twenty-one panelists (20 from the EXTRIP workgroup and an invited expert on pharmacology reporting guidelines) participated in the modified Delphi technique. This group included journal editors and experts in nephrology, clinical toxicology, critical care medicine, emergency medicine, and clinical pharmacology. Three independent raters participated in the validation rounds. Panelists voted on a total of 144 items in the first round and 137 items in the second round, with response rates of 96.3% and 98.3%, respectively. Twenty case reports were evaluated at each validation round and the independent raters' response rate was 99.6% and 98.8% per validation round. The final checklist consists of 114 items considered essential for case study reporting. This methodology of alternate voting and external validation rounds was useful in developing the first reporting guideline for case studies in the field of extracorporeal treatments in poisoning. We believe that this guideline will improve the completeness and transparency of published case reports and that the systematic aggregation of information from case reports may provide early signals of effectiveness and/or harm, thereby improving healthcare decision-making. PMID:24890576
The Pitman-Yor Process and an Empirical Study of Choice Behavior
NASA Astrophysics Data System (ADS)
Hisakado, Masato; Sano, Fumiaki; Mori, Shintaro
2018-02-01
This study discusses choice behavior using a voting model in which voters can obtain information from a finite number of previous r voters. Voters vote for a candidate with a probability proportional to the previous vote ratio, which is visible to the voters. We obtain the Pitman sampling formula as the equilibrium distribution of r votes. We present the model as a process of posting on a bulletin board system, 2ch.net, where users can choose one of many threads to create a post. We explore how this choice depends on the last r posts and the distribution of these last r posts across threads. We conclude that the posting process is described by our voting model with analog herders for a small r, which might correspond to the time horizon of users' responses.
Revisiting financial conflicts of interest in FDA advisory committees.
Pham-Kanter, Genevieve
2014-09-01
The Food and Drug Administration (FDA) Safety and Innovation Act has recently relaxed conflict-of-interest rules for FDA advisory committee members, but concerns remain about the influence of members' financial relationships on the FDA's drug approval process. Using a large newly available data set, this study carefully examined the relationship between the financial interests of FDA Center for Drug Evaluation and Research (CDER) advisory committee members and whether members voted in a way favorable to these interests. The study used a data set of voting behavior and reported financial interests of 1,379 FDA advisory committee members who voted in CDER committee meetings that were convened during the 15-year period of 1997-2011. Data on 1,168 questions and 15,739 question-votes from 379 meetings were used in the analyses. Multivariable logit models were used to estimate the relationship between committee members' financial interests and their voting behavior. Individuals with financial interests solely in the sponsoring firm were more likely to vote in favor of the sponsor than members with no financial ties (OR = 1.49, p = 0.03). Members with interests in both the sponsoring firm and its competitors were no more likely to vote in favor of the sponsor than those with no financial ties to any potentially affected firm (OR = 1.16, p = 0.48). Members who served on advisory boards solely for the sponsor were significantly more likely to vote in favor of the sponsor (OR = 4.97, p = 0.005). There appears to be a pro-sponsor voting bias among advisory committee members who have exclusive financial relationships with the sponsoring firm but not among members who have nonexclusive financial relationships (ie, those with ties to both the sponsor and its competitors). These findings point to important heterogeneities in financial ties and suggest that policymakers will need to be nuanced in their management of financial relationships of FDA advisory committee members. © 2014 Milbank Memorial Fund.
A New Proxy Electronic Voting Scheme Achieved by Six-Particle Entangled States
NASA Astrophysics Data System (ADS)
Cao, Hai-Jing; Ding, Li-Yuan; Jiang, Xiu-Li; Li, Peng-Fei
2018-03-01
In this paper, we use quantum proxy signature to construct a new secret electronic voting scheme. In our scheme, six particles entangled states function as quantum channels. The voter Alice, the Vote Management Center Bob, the scrutineer Charlie only perform two particles measurements on the Bell bases to realize the electronic voting process. So the scheme reduces the technical difficulty and increases operation efficiency. We use quantum key distribution and one-time pad to guarantee its unconditional security. The significant advantage of our scheme is that transmitted information capacity is twice as much as the capacity of other schemes.
Optimizing the Four-Index Integral Transform Using Data Movement Lower Bounds Analysis
DOE Office of Scientific and Technical Information (OSTI.GOV)
Rajbhandari, Samyam; Rastello, Fabrice; Kowalski, Karol
The four-index integral transform is a fundamental and computationally demanding calculation used in many computational chemistry suites such as NWChem. It transforms a four-dimensional tensor from an atomic basis to a molecular basis. This transformation is most efficiently implemented as a sequence of four tensor contractions that each contract a four-dimensional tensor with a two-dimensional transformation matrix. Differing degrees of permutation symmetry in the intermediate and final tensors in the sequence of contractions cause intermediate tensors to be much larger than the final tensor and limit the number of electronic states in the modeled systems. Loop fusion, in conjunction withmore » tiling, can be very effective in reducing the total space requirement, as well as data movement. However, the large number of possible choices for loop fusion and tiling, and data/computation distribution across a parallel system, make it challenging to develop an optimized parallel implementation for the four-index integral transform. We develop a novel approach to address this problem, using lower bounds modeling of data movement complexity. We establish relationships between available aggregate physical memory in a parallel computer system and ineffective fusion configurations, enabling their pruning and consequent identification of effective choices and a characterization of optimality criteria. This work has resulted in the development of a significantly improved implementation of the four-index transform that enables higher performance and the ability to model larger electronic systems than the current implementation in the NWChem quantum chemistry software suite.« less
DOE Office of Scientific and Technical Information (OSTI.GOV)
Sajib, Saurav Z. K.; Jeong, Woo Chul; Oh, Tong In
Anisotropy of biological tissues is a low-frequency phenomenon that is associated with the function and structure of cell membranes. Imaging of anisotropic conductivity has potential for the analysis of interactions between electromagnetic fields and biological systems, such as the prediction of current pathways in electrical stimulation therapy. To improve application to the clinical environment, precise approaches are required to understand the exact responses inside the human body subjected to the stimulated currents. In this study, we experimentally evaluate the anisotropic conductivity tensor distribution of canine brain tissues, using a recently developed diffusion tensor-magnetic resonance electrical impedance tomography method. At lowmore » frequency, electrical conductivity of the biological tissues can be expressed as a product of the mobility and concentration of ions in the extracellular space. From diffusion tensor images of the brain, we can obtain directional information on diffusive movements of water molecules, which correspond to the mobility of ions. The position dependent scale factor, which provides information on ion concentration, was successfully calculated from the magnetic flux density, to obtain the equivalent conductivity tensor. By combining the information from both techniques, we can finally reconstruct the anisotropic conductivity tensor images of brain tissues. The reconstructed conductivity images better demonstrate the enhanced signal intensity in strongly anisotropic brain regions, compared with those resulting from previous methods using a global scale factor.« less
NASA Astrophysics Data System (ADS)
Skare, Stefan; Hedehus, Maj; Moseley, Michael E.; Li, Tie-Qiang
2000-12-01
Diffusion tensor mapping with MRI can noninvasively track neural connectivity and has great potential for neural scientific research and clinical applications. For each diffusion tensor imaging (DTI) data acquisition scheme, the diffusion tensor is related to the measured apparent diffusion coefficients (ADC) by a transformation matrix. With theoretical analysis we demonstrate that the noise performance of a DTI scheme is dependent on the condition number of the transformation matrix. To test the theoretical framework, we compared the noise performances of different DTI schemes using Monte-Carlo computer simulations and experimental DTI measurements. Both the simulation and the experimental results confirmed that the noise performances of different DTI schemes are significantly correlated with the condition number of the associated transformation matrices. We therefore applied numerical algorithms to optimize a DTI scheme by minimizing the condition number, hence improving the robustness to experimental noise. In the determination of anisotropic diffusion tensors with different orientations, MRI data acquisitions using a single optimum b value based on the mean diffusivity can produce ADC maps with regional differences in noise level. This will give rise to rotational variances of eigenvalues and anisotropy when diffusion tensor mapping is performed using a DTI scheme with a limited number of diffusion-weighting gradient directions. To reduce this type of artifact, a DTI scheme with not only a small condition number but also a large number of evenly distributed diffusion-weighting gradients in 3D is preferable.
D'Hooge, Lorenzo; Achterberg, Peter; Reeskens, Tim
2018-02-01
The traditional approach to class voting has largely ignored the question whether material class positions coincide with subjective class identification. Following Sosnaud et al. (2013), this study evaluates party preferences when Europeans' material and subjective social class do not coincide. Seminal studies on voting behavior have suggested that members of lower classes are more likely to vote for the economic left and cultural right and that higher classes demonstrate the opposite pattern. Yet, these studies have on the one hand overlooked the possibility that there is a mismatch between the material class people can be classified in and the class they think they are part of, and on the other hand the consequences of this discordant class identification on voting behavior. Analyzing the 2009 wave of the European Elections Study, we find that the majority of the Europeans discordantly identify with the middle class, whereas only a minority of the lower and higher classes concordantly identify with their material social class. Further, material class only seems to predict economic voting behavior when it coincides with subjective class; for instance, individuals who have an inflated class identification are more likely to vote for the economic left, even when they materially can be classified as middle or high class. We conclude this paper with a discussion on scholarly debates concerning class and politics. Copyright © 2017 Elsevier Inc. All rights reserved.
75 FR 10228 - Publication of State Plan Pursuant to the Help America Vote Act; Correction
Federal Register 2010, 2011, 2012, 2013, 2014
2010-03-05
... ELECTION ASSISTANCE COMMISSION Publication of State Plan Pursuant to the Help America Vote Act; Correction AGENCY: U.S. Election Assistance Commission (EAC). ACTION: Notice; correction. SUMMARY: The U.S... caption to read: SUMMARY: Pursuant to sections 254(a)(11)(A) and 255(b) of the Help America Vote Act (HAVA...
77 FR 23237 - Publication of State Plan Pursuant to the Help America Vote Act
Federal Register 2010, 2011, 2012, 2013, 2014
2012-04-18
... ELECTION ASSISTANCE COMMISSION Publication of State Plan Pursuant to the Help America Vote Act AGENCY: U.S. Election Assistance Commission (EAC). ACTION: Notice. SUMMARY: Pursuant to Sections 254(a)(11)(A) and 255(b) of the Help America Vote Act (HAVA), Public Law 107-252, as amended by Section 622...