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.

Anonymity in Voting Revisited

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.

Addressing Common Student Errors with Classroom Voting in Multivariable Calculus

ERIC Educational Resources Information Center

Cline, Kelly; Parker, Mark; Zullo, Holly; Stewart, Ann

2012-01-01

One technique for identifying and addressing common student errors is the method of classroom voting, in which the instructor presents a multiple-choice question to the class, and after a few minutes for consideration and small group discussion, each student votes on the correct answer, often using a hand-held electronic clicker. If a large number…

The Association between Students' Use of an Electronic Voting System and their Learning Outcomes

ERIC Educational Resources Information Center

Kennedy, G. E.; Cutts, Q. I.

2005-01-01

This paper reports on the use of an electronic voting system (EVS) in a first-year computing science subject. Previous investigations suggest that students' use of an EVS would be positively associated with their learning outcomes. However, no research has established this relationship empirically. This study sought to establish whether there was…

Successful fluoride plebiscite in the township of Deniliquin, New South Wales, Australia.

PubMed

Sivaneswaran, Shanti; Chong, Gabriel T F; Blinkhorn, Anthony S

2010-01-01

This article describes the strategies adopted to influence the outcome of a plebiscite held in March 2004 in favor of water fluoridation in Deniliquin, a rural town in New South Wales, Australia. The health promotion strategies undertaken included the following: a) the skillful use of media to educate the community on the benefits of water fluoridation; b) disseminating contemporary local data to demonstrate oral health disparities with neighboring fluoridated townships; and c) a well-established lobbying machine to mobilize the community. Out of a total population of 5,280 on the electoral roll, 4,539 residents voted, giving a response rate of 86 percent. The wording of the plebiscite was "Do you support the addition of fluoride to Deniliquin town water supply?" There were 2,533 "yes" votes (55.8 percent), 1,879 "no" votes (41.4 percent), and 127 spoiled votes (2.8 percent). The council resolved to implement water fluoridation and the residents received fluoridated water in January 2005.

Predicting Networked Strategic Behavior via Machine Learning and Game Theory

DTIC Science & Technology

2015-01-13

The funding for this project was used to develop basic models, methodology and algorithms for the application of machine learning and related tools to settings in which strategic behavior is central. Among the topics studied was the development of simple behavioral models explaining and predicting human subject behavior in networked strategic experiments from prior work. These included experiments in biased voting and networked trading, among others.

Happy Zapping in the Classroom: Enhancing Teaching and Learning with Electronic Voting Systems

ERIC Educational Resources Information Center

Read, David

2010-01-01

The use of electronic voting systems (EVS) in teaching at all levels is increasing as the technology becomes cheaper and easier to use. Although many educators initially take a cynical view of the educational value of such technology, many of those who use EVS express a very positive view of their experiences. This article aims to share these…

Electronic Voting Protocol Using Identity-Based Cryptography.

PubMed

Gallegos-Garcia, Gina; Tapia-Recillas, Horacio

2015-01-01

Electronic voting protocols proposed to date meet their properties based on Public Key Cryptography (PKC), which offers high flexibility through key agreement protocols and authentication mechanisms. However, when PKC is used, it is necessary to implement Certification Authority (CA) to provide certificates which bind public keys to entities and enable verification of such public key bindings. Consequently, the components of the protocol increase notably. An alternative is to use Identity-Based Encryption (IBE). With this kind of cryptography, it is possible to have all the benefits offered by PKC, without neither the need of certificates nor all the core components of a Public Key Infrastructure (PKI). Considering the aforementioned, in this paper we propose an electronic voting protocol, which meets the privacy and robustness properties by using bilinear maps.

Electronic Voting Protocol Using Identity-Based Cryptography

PubMed Central

Gallegos-Garcia, Gina; Tapia-Recillas, Horacio

2015-01-01

Electronic voting protocols proposed to date meet their properties based on Public Key Cryptography (PKC), which offers high flexibility through key agreement protocols and authentication mechanisms. However, when PKC is used, it is necessary to implement Certification Authority (CA) to provide certificates which bind public keys to entities and enable verification of such public key bindings. Consequently, the components of the protocol increase notably. An alternative is to use Identity-Based Encryption (IBE). With this kind of cryptography, it is possible to have all the benefits offered by PKC, without neither the need of certificates nor all the core components of a Public Key Infrastructure (PKI). Considering the aforementioned, in this paper we propose an electronic voting protocol, which meets the privacy and robustness properties by using bilinear maps. PMID:26090515

2012 election results

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.

The Use of Electronic Voting Systems in Lectures within Business and Marketing: A Case Study of Their Impact on Student Learning

ERIC Educational Resources Information Center

Masikunas, George; Panayiotidis, Andreas; Burke, Linda

2007-01-01

This article presents a case study of the impact on student learning of introducing an electronic voting system (EVS) into large-group lectures for first-year undergraduate students undertaking degrees in marketing and business systems. We discuss the potential for using EVS-style interactive lectures in marketing and business programmes. We then…

Development of a body motion interactive system with a weight voting mechanism and computer vision technology

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.

Extreme D'Hondt and round-off effects in voting computations

NASA Astrophysics Data System (ADS)

Konstantinov, M. M.; Pelova, G. B.

2015-11-01

D'Hondt (or Jefferson) method and Hare-Niemeyer (or Hamilton) method are widely used worldwide for seat allocation in proportional systems. Everything seems to be well known in this area. However, this is not the case. For example the D'Hondt method can violate the quota rule from above but this effect is not analyzed as a function of the number of parties and/or the threshold used. Also, allocation methods are often implemented automatically as computer codes in machine arithmetic believing that following the IEEE standards for double precision binary arithmetics would guarantee correct results. Unfortunately this may not happen not only for double precision arithmetic (usually producing 15-16 true decimal digits) but also for any relative precision of the underlying binary machine arithmetics. This paper deals with the following new issues.Find conditions (threshold in particular) such that D'Hondt seat allocation violates maximally the quota rule. Analyze possible influence of rounding errors in the automatic implementation of Hare-Niemeyer method in machine arithmetic.Concerning the first issue, it is known that the maximal deviation of D'Hondt allocation from upper quota for the Bulgarian proportional system (240 MP and 4% barrier) is 5. This fact had been established in 1991. A classical treatment of voting issues is the monograph [1], while electoral problems specific for Bulgaria have been treated in [2, 4]. The effect of threshold on extreme seat allocations is also analyzed in [3]. Finally we would like to stress that Voting Theory may sometimes be mathematically trivial but always has great political impact. This is a strong motivation for further investigations in this area.

The technological obsolescence of the Brazilian eletronic ballot box.

PubMed

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.

22 CFR 1421.15 - Secret ballot.

Code of Federal Regulations, 2013 CFR

2013-04-01

... 22 Foreign Relations 2 2013-04-01 2009-04-01 true Secret ballot. 1421.15 Section 1421.15 Foreign Relations FOREIGN SERVICE LABOR RELATIONS BOARD; FEDERAL LABOR RELATIONS AUTHORITY; GENERAL COUNSEL OF THE... THIS SUBCHAPTER § 1421.15 Secret ballot. Secret ballot means the expression by ballot, voting machine...

22 CFR 1421.15 - Secret ballot.

Code of Federal Regulations, 2014 CFR

2014-04-01

... 22 Foreign Relations 2 2014-04-01 2014-04-01 false Secret ballot. 1421.15 Section 1421.15 Foreign Relations FOREIGN SERVICE LABOR RELATIONS BOARD; FEDERAL LABOR RELATIONS AUTHORITY; GENERAL COUNSEL OF THE... THIS SUBCHAPTER § 1421.15 Secret ballot. Secret ballot means the expression by ballot, voting machine...

22 CFR 1421.15 - Secret ballot.

Code of Federal Regulations, 2011 CFR

2011-04-01

... 22 Foreign Relations 2 2011-04-01 2009-04-01 true Secret ballot. 1421.15 Section 1421.15 Foreign Relations FOREIGN SERVICE LABOR RELATIONS BOARD; FEDERAL LABOR RELATIONS AUTHORITY; GENERAL COUNSEL OF THE... THIS SUBCHAPTER § 1421.15 Secret ballot. Secret ballot means the expression by ballot, voting machine...

22 CFR 1421.15 - Secret ballot.

Code of Federal Regulations, 2012 CFR

2012-04-01

... 22 Foreign Relations 2 2012-04-01 2009-04-01 true Secret ballot. 1421.15 Section 1421.15 Foreign Relations FOREIGN SERVICE LABOR RELATIONS BOARD; FEDERAL LABOR RELATIONS AUTHORITY; GENERAL COUNSEL OF THE... THIS SUBCHAPTER § 1421.15 Secret ballot. Secret ballot means the expression by ballot, voting machine...

22 CFR 1421.15 - Secret ballot.

Code of Federal Regulations, 2010 CFR

2010-04-01

... 22 Foreign Relations 2 2010-04-01 2010-04-01 true Secret ballot. 1421.15 Section 1421.15 Foreign Relations FOREIGN SERVICE LABOR RELATIONS BOARD; FEDERAL LABOR RELATIONS AUTHORITY; GENERAL COUNSEL OF THE... THIS SUBCHAPTER § 1421.15 Secret ballot. Secret ballot means the expression by ballot, voting machine...

Fault-tolerant reactor protection system

DOEpatents

Gaubatz, Donald C.

1997-01-01

A reactor protection system having four divisions, with quad redundant sensors for each scram parameter providing input to four independent microprocessor-based electronic chassis. Each electronic chassis acquires the scram parameter data from its own sensor, digitizes the information, and then transmits the sensor reading to the other three electronic chassis via optical fibers. To increase system availability and reduce false scrams, the reactor protection system employs two levels of voting on a need for reactor scram. The electronic chassis perform software divisional data processing, vote 2/3 with spare based upon information from all four sensors, and send the divisional scram signals to the hardware logic panel, which performs a 2/4 division vote on whether or not to initiate a reactor scram. Each chassis makes a divisional scram decision based on data from all sensors. Each division performs independently of the others (asynchronous operation). All communications between the divisions are asynchronous. Each chassis substitutes its own spare sensor reading in the 2/3 vote if a sensor reading from one of the other chassis is faulty or missing. Therefore the presence of at least two valid sensor readings in excess of a set point is required before terminating the output to the hardware logic of a scram inhibition signal even when one of the four sensors is faulty or when one of the divisions is out of service.

Fault-tolerant reactor protection system

DOEpatents

Gaubatz, D.C.

1997-04-15

A reactor protection system is disclosed having four divisions, with quad redundant sensors for each scram parameter providing input to four independent microprocessor-based electronic chassis. Each electronic chassis acquires the scram parameter data from its own sensor, digitizes the information, and then transmits the sensor reading to the other three electronic chassis via optical fibers. To increase system availability and reduce false scrams, the reactor protection system employs two levels of voting on a need for reactor scram. The electronic chassis perform software divisional data processing, vote 2/3 with spare based upon information from all four sensors, and send the divisional scram signals to the hardware logic panel, which performs a 2/4 division vote on whether or not to initiate a reactor scram. Each chassis makes a divisional scram decision based on data from all sensors. Each division performs independently of the others (asynchronous operation). All communications between the divisions are asynchronous. Each chassis substitutes its own spare sensor reading in the 2/3 vote if a sensor reading from one of the other chassis is faulty or missing. Therefore the presence of at least two valid sensor readings in excess of a set point is required before terminating the output to the hardware logic of a scram inhibition signal even when one of the four sensors is faulty or when one of the divisions is out of service. 16 figs.

Types for Correct Concurrent API Usage

DTIC Science & Technology

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

Method for secure electronic voting system: face recognition based approach

NASA Astrophysics Data System (ADS)

Alim, M. Affan; Baig, Misbah M.; Mehboob, Shahzain; Naseem, Imran

2017-06-01

In this paper, we propose a framework for low cost secure electronic voting system based on face recognition. Essentially Local Binary Pattern (LBP) is used for face feature characterization in texture format followed by chi-square distribution is used for image classification. Two parallel systems are developed based on smart phone and web applications for face learning and verification modules. The proposed system has two tire security levels by using person ID followed by face verification. Essentially class specific threshold is associated for controlling the security level of face verification. Our system is evaluated three standard databases and one real home based database and achieve the satisfactory recognition accuracies. Consequently our propose system provides secure, hassle free voting system and less intrusive compare with other biometrics.

Houston man with AIDS loses job after co-workers vote to expel him.

PubMed

1995-03-10

An employee sued a [name removed] machine shop that held a companywide vote culminating in the firing of the employee because he had AIDS. The lawsuit contended that the employee was able to perform his duties at the shop and that the shop had violated the Texas Health and Safety Code by disclosing his AIDS illness to his co-workers without his consent. The Equal Employment Opportunity Commission (EEOC) found that all the evidence indicated that the sole reason for the employee's firing was due to his disability. It was also judged that the company had violated the employee's right to privacy by publicizing his HIV status.

Applying Trustworthy Computing to End-to-End Electronic Voting

ERIC Educational Resources Information Center

Fink, Russell A.

2010-01-01

"End-to-End (E2E)" voting systems provide cryptographic proof that the voter's intention is captured, cast, and tallied correctly. While E2E systems guarantee integrity independent of software, most E2E systems rely on software to provide confidentiality, availability, authentication, and access control; thus, end-to-end integrity is not…

Fiber tractography using machine learning.

PubMed

Neher, Peter F; Côté, Marc-Alexandre; Houde, Jean-Christophe; Descoteaux, Maxime; Maier-Hein, Klaus H

2017-09-01

We present a fiber tractography approach based on a random forest classification and voting process, guiding each step of the streamline progression by directly processing raw diffusion-weighted signal intensities. For comparison to the state-of-the-art, i.e. tractography pipelines that rely on mathematical modeling, we performed a quantitative and qualitative evaluation with multiple phantom and in vivo experiments, including a comparison to the 96 submissions of the ISMRM tractography challenge 2015. The results demonstrate the vast potential of machine learning for fiber tractography. Copyright © 2017 Elsevier Inc. All rights reserved.

5 CFR 2421.15 - Secret ballot.

Code of Federal Regulations, 2012 CFR

2012-01-01

... 5 Administrative Personnel 3 2012-01-01 2012-01-01 false Secret ballot. 2421.15 Section 2421.15... FEDERAL LABOR RELATIONS AUTHORITY MEANING OF TERMS AS USED IN THIS SUBCHAPTER § 2421.15 Secret ballot. Secret ballot means the expression by ballot, voting machine or otherwise, but in no event by proxy, of a...

5 CFR 2421.15 - Secret ballot.

Code of Federal Regulations, 2011 CFR

2011-01-01

... 5 Administrative Personnel 3 2011-01-01 2011-01-01 false Secret ballot. 2421.15 Section 2421.15... FEDERAL LABOR RELATIONS AUTHORITY MEANING OF TERMS AS USED IN THIS SUBCHAPTER § 2421.15 Secret ballot. Secret ballot means the expression by ballot, voting machine or otherwise, but in no event by proxy, of a...

5 CFR 2421.15 - Secret ballot.

Code of Federal Regulations, 2014 CFR

2014-01-01

... 5 Administrative Personnel 3 2014-01-01 2014-01-01 false Secret ballot. 2421.15 Section 2421.15... FEDERAL LABOR RELATIONS AUTHORITY MEANING OF TERMS AS USED IN THIS SUBCHAPTER § 2421.15 Secret ballot. Secret ballot means the expression by ballot, voting machine or otherwise, but in no event by proxy, of a...

5 CFR 2421.15 - Secret ballot.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 5 Administrative Personnel 3 2010-01-01 2010-01-01 false Secret ballot. 2421.15 Section 2421.15... FEDERAL LABOR RELATIONS AUTHORITY MEANING OF TERMS AS USED IN THIS SUBCHAPTER § 2421.15 Secret ballot. Secret ballot means the expression by ballot, voting machine or otherwise, but in no event by proxy, of a...

5 CFR 2421.15 - Secret ballot.

Code of Federal Regulations, 2013 CFR

2013-01-01

... 5 Administrative Personnel 3 2013-01-01 2013-01-01 false Secret ballot. 2421.15 Section 2421.15... FEDERAL LABOR RELATIONS AUTHORITY MEANING OF TERMS AS USED IN THIS SUBCHAPTER § 2421.15 Secret ballot. Secret ballot means the expression by ballot, voting machine or otherwise, but in no event by proxy, of a...

An efficient voting algorithm for finding additive biclusters with random background.

PubMed

Xiao, Jing; Wang, Lusheng; Liu, Xiaowen; Jiang, Tao

2008-12-01

The biclustering problem has been extensively studied in many areas, including e-commerce, data mining, machine learning, pattern recognition, statistics, and, more recently, computational biology. Given an n x m matrix A (n >or= m), the main goal of biclustering is to identify a subset of rows (called objects) and a subset of columns (called properties) such that some objective function that specifies the quality of the found bicluster (formed by the subsets of rows and of columns of A) is optimized. The problem has been proved or conjectured to be NP-hard for various objective functions. In this article, we study a probabilistic model for the implanted additive bicluster problem, where each element in the n x m background matrix is a random integer from [0, L - 1] for some integer L, and a k x k implanted additive bicluster is obtained from an error-free additive bicluster by randomly changing each element to a number in [0, L - 1] with probability theta. We propose an O(n(2)m) time algorithm based on voting to solve the problem. We show that when k >or= Omega(square root of (n log n)), the voting algorithm can correctly find the implanted bicluster with probability at least 1 - (9/n(2)). We also implement our algorithm as a C++ program named VOTE. The implementation incorporates several ideas for estimating the size of an implanted bicluster, adjusting the threshold in voting, dealing with small biclusters, and dealing with overlapping implanted biclusters. Our experimental results on both simulated and real datasets show that VOTE can find biclusters with a high accuracy and speed.

A solution to the single-question crowd wisdom problem.

PubMed

Prelec, Dražen; Seung, H Sebastian; McCoy, John

2017-01-25

Once considered provocative, the notion that the wisdom of the crowd is superior to any individual has become itself a piece of crowd wisdom, leading to speculation that online voting may soon put credentialed experts out of business. Recent applications include political and economic forecasting, evaluating nuclear safety, public policy, the quality of chemical probes, and possible responses to a restless volcano. Algorithms for extracting wisdom from the crowd are typically based on a democratic voting procedure. They are simple to apply and preserve the independence of personal judgment. However, democratic methods have serious limitations. They are biased for shallow, lowest common denominator information, at the expense of novel or specialized knowledge that is not widely shared. Adjustments based on measuring confidence do not solve this problem reliably. Here we propose the following alternative to a democratic vote: select the answer that is more popular than people predict. We show that this principle yields the best answer under reasonable assumptions about voter behaviour, while the standard 'most popular' or 'most confident' principles fail under exactly those same assumptions. Like traditional voting, the principle accepts unique problems, such as panel decisions about scientific or artistic merit, and legal or historical disputes. The potential application domain is thus broader than that covered by machine learning and psychometric methods, which require data across multiple questions.

Autonomous Scanning Probe Microscopy in Situ Tip Conditioning through Machine Learning.

PubMed

Rashidi, Mohammad; Wolkow, Robert A

2018-05-23

Atomic-scale characterization and manipulation with scanning probe microscopy rely upon the use of an atomically sharp probe. Here we present automated methods based on machine learning to automatically detect and recondition the quality of the probe of a scanning tunneling microscope. As a model system, we employ these techniques on the technologically relevant hydrogen-terminated silicon surface, training the network to recognize abnormalities in the appearance of surface dangling bonds. Of the machine learning methods tested, a convolutional neural network yielded the greatest accuracy, achieving a positive identification of degraded tips in 97% of the test cases. By using multiple points of comparison and majority voting, the accuracy of the method is improved beyond 99%.

Prediction of cancer class with majority voting genetic programming classifier using gene expression data.

PubMed

Paul, Topon Kumar; Iba, Hitoshi

2009-01-01

In order to get a better understanding of different types of cancers and to find the possible biomarkers for diseases, recently, many researchers are analyzing the gene expression data using various machine learning techniques. However, due to a very small number of training samples compared to the huge number of genes and class imbalance, most of these methods suffer from overfitting. In this paper, we present a majority voting genetic programming classifier (MVGPC) for the classification of microarray data. Instead of a single rule or a single set of rules, we evolve multiple rules with genetic programming (GP) and then apply those rules to test samples to determine their labels with majority voting technique. By performing experiments on four different public cancer data sets, including multiclass data sets, we have found that the test accuracies of MVGPC are better than those of other methods, including AdaBoost with GP. Moreover, some of the more frequently occurring genes in the classification rules are known to be associated with the types of cancers being studied in this paper.

e-Bitter: Bitterant Prediction by the Consensus Voting From the Machine-Learning Methods

PubMed Central

Zheng, Suqing; Jiang, Mengying; Zhao, Chengwei; Zhu, Rui; Hu, Zhicheng; Xu, Yong; Lin, Fu

2018-01-01

In-silico bitterant prediction received the considerable attention due to the expensive and laborious experimental-screening of the bitterant. In this work, we collect the fully experimental dataset containing 707 bitterants and 592 non-bitterants, which is distinct from the fully or partially hypothetical non-bitterant dataset used in the previous works. Based on this experimental dataset, we harness the consensus votes from the multiple machine-learning methods (e.g., deep learning etc.) combined with the molecular fingerprint to build the bitter/bitterless classification models with five-fold cross-validation, which are further inspected by the Y-randomization test and applicability domain analysis. One of the best consensus models affords the accuracy, precision, specificity, sensitivity, F1-score, and Matthews correlation coefficient (MCC) of 0.929, 0.918, 0.898, 0.954, 0.936, and 0.856 respectively on our test set. For the automatic prediction of bitterant, a graphic program “e-Bitter” is developed for the convenience of users via the simple mouse click. To our best knowledge, it is for the first time to adopt the consensus model for the bitterant prediction and develop the first free stand-alone software for the experimental food scientist. PMID:29651416

e-Bitter: Bitterant Prediction by the Consensus Voting From the Machine-learning Methods

NASA Astrophysics Data System (ADS)

Zheng, Suqing; Jiang, Mengying; Zhao, Chengwei; Zhu, Rui; Hu, Zhicheng; Xu, Yong; Lin, Fu

2018-03-01

In-silico bitterant prediction received the considerable attention due to the expensive and laborious experimental-screening of the bitterant. In this work, we collect the fully experimental dataset containing 707 bitterants and 592 non-bitterants, which is distinct from the fully or partially hypothetical non-bitterant dataset used in the previous works. Based on this experimental dataset, we harness the consensus votes from the multiple machine-learning methods (e.g., deep learning etc.) combined with the molecular fingerprint to build the bitter/bitterless classification models with five-fold cross-validation, which are further inspected by the Y-randomization test and applicability domain analysis. One of the best consensus models affords the accuracy, precision, specificity, sensitivity, F1-score, and Matthews correlation coefficient (MCC) of 0.929, 0.918, 0.898, 0.954, 0.936, and 0.856 respectively on our test set. For the automatic prediction of bitterant, a graphic program “e-Bitter” is developed for the convenience of users via the simple mouse click. To our best knowledge, it is for the first time to adopt the consensus model for the bitterant prediction and develop the first free stand-alone software for the experimental food scientist.

Joint Data Management for MOVINT Data-to-Decision Making

DTIC Science & Technology

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

Reactor protection system with automatic self-testing and diagnostic

DOEpatents

Gaubatz, Donald C.

1996-01-01

A reactor protection system having four divisions, with quad redundant sensors for each scram parameter providing input to four independent microprocessor-based electronic chassis. Each electronic chassis acquires the scram parameter data from its own sensor, digitizes the information, and then transmits the sensor reading to the other three electronic chassis via optical fibers. To increase system availability and reduce false scrams, the reactor protection system employs two levels of voting on a need for reactor scram. The electronic chassis perform software divisional data processing, vote 2/3 with spare based upon information from all four sensors, and send the divisional scram signals to the hardware logic panel, which performs a 2/4 division vote on whether or not to initiate a reactor scram. Each chassis makes a divisional scram decision based on data from all sensors. Automatic detection and discrimination against failed sensors allows the reactor protection system to automatically enter a known state when sensor failures occur. Cross communication of sensor readings allows comparison of four theoretically "identical" values. This permits identification of sensor errors such as drift or malfunction. A diagnostic request for service is issued for errant sensor data. Automated self test and diagnostic monitoring, sensor input through output relay logic, virtually eliminate the need for manual surveillance testing. This provides an ability for each division to cross-check all divisions and to sense failures of the hardware logic.

Reactor protection system with automatic self-testing and diagnostic

DOEpatents

Gaubatz, D.C.

1996-12-17

A reactor protection system is disclosed having four divisions, with quad redundant sensors for each scram parameter providing input to four independent microprocessor-based electronic chassis. Each electronic chassis acquires the scram parameter data from its own sensor, digitizes the information, and then transmits the sensor reading to the other three electronic chassis via optical fibers. To increase system availability and reduce false scrams, the reactor protection system employs two levels of voting on a need for reactor scram. The electronic chassis perform software divisional data processing, vote 2/3 with spare based upon information from all four sensors, and send the divisional scram signals to the hardware logic panel, which performs a 2/4 division vote on whether or not to initiate a reactor scram. Each chassis makes a divisional scram decision based on data from all sensors. Automatic detection and discrimination against failed sensors allows the reactor protection system to automatically enter a known state when sensor failures occur. Cross communication of sensor readings allows comparison of four theoretically ``identical`` values. This permits identification of sensor errors such as drift or malfunction. A diagnostic request for service is issued for errant sensor data. Automated self test and diagnostic monitoring, sensor input through output relay logic, virtually eliminate the need for manual surveillance testing. This provides an ability for each division to cross-check all divisions and to sense failures of the hardware logic. 16 figs.

Satellite Fault Diagnosis Using Support Vector Machines Based on a Hybrid Voting Mechanism

PubMed Central

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

Ensemble Methods for Classification of Physical Activities from Wrist Accelerometry.

PubMed

Chowdhury, Alok Kumar; Tjondronegoro, Dian; Chandran, Vinod; Trost, Stewart G

2017-09-01

To investigate whether the use of ensemble learning algorithms improve physical activity recognition accuracy compared to the single classifier algorithms, and to compare the classification accuracy achieved by three conventional ensemble machine learning methods (bagging, boosting, random forest) and a custom ensemble model comprising four algorithms commonly used for activity recognition (binary decision tree, k nearest neighbor, support vector machine, and neural network). The study used three independent data sets that included wrist-worn accelerometer data. For each data set, a four-step classification framework consisting of data preprocessing, feature extraction, normalization and feature selection, and classifier training and testing was implemented. For the custom ensemble, decisions from the single classifiers were aggregated using three decision fusion methods: weighted majority vote, naïve Bayes combination, and behavior knowledge space combination. Classifiers were cross-validated using leave-one subject out cross-validation and compared on the basis of average F1 scores. In all three data sets, ensemble learning methods consistently outperformed the individual classifiers. Among the conventional ensemble methods, random forest models provided consistently high activity recognition; however, the custom ensemble model using weighted majority voting demonstrated the highest classification accuracy in two of the three data sets. Combining multiple individual classifiers using conventional or custom ensemble learning methods can improve activity recognition accuracy from wrist-worn accelerometer data.

High recall document content extraction

NASA Astrophysics Data System (ADS)

An, Chang; Baird, Henry S.

2011-01-01

We report methodologies for computing high-recall masks for document image content extraction, that is, the location and segmentation of regions containing handwriting, machine-printed text, photographs, blank space, etc. The resulting segmentation is pixel-accurate, which accommodates arbitrary zone shapes (not merely rectangles). We describe experiments showing that iterated classifiers can increase recall of all content types, with little loss of precision. We also introduce two methodological enhancements: (1) a multi-stage voting rule; and (2) a scoring policy that views blank pixels as a "don't care" class with other content classes. These enhancements improve both recall and precision, achieving at least 89% recall and at least 87% precision among three content types: machine-print, handwriting, and photo.

45 CFR 1226.8 - Prohibited activities.

Code of Federal Regulations, 2010 CFR

2010-10-01

..., pamphlets, brochures and material designed for the print or electronic media; (5) Organizing political... assistance to individuals in the process of registering to vote, including determinations of eligibility; (3... material designed for either the print or electronic media, which urges recipients to contact their...

Formal Techniques for Synchronized Fault-Tolerant Systems

NASA Technical Reports Server (NTRS)

DiVito, Ben L.; Butler, Ricky W.

1992-01-01

We present the formal verification of synchronizing aspects of the Reliable Computing Platform (RCP), a fault-tolerant computing system for digital flight control applications. The RCP uses NMR-style redundancy to mask faults and internal majority voting to purge the effects of transient faults. The system design has been formally specified and verified using the EHDM verification system. Our formalization is based on an extended state machine model incorporating snapshots of local processors clocks.

An Efficient Voting Algorithm for Finding Additive Biclusters with Random Background

PubMed Central

Xiao, Jing; Wang, Lusheng; Liu, Xiaowen

2008-01-01

Abstract The biclustering problem has been extensively studied in many areas, including e-commerce, data mining, machine learning, pattern recognition, statistics, and, more recently, computational biology. Given an n × m matrix A (n ≥ m), the main goal of biclustering is to identify a subset of rows (called objects) and a subset of columns (called properties) such that some objective function that specifies the quality of the found bicluster (formed by the subsets of rows and of columns of A) is optimized. The problem has been proved or conjectured to be NP-hard for various objective functions. In this article, we study a probabilistic model for the implanted additive bicluster problem, where each element in the n × m background matrix is a random integer from [0, L − 1] for some integer L, and a k × k implanted additive bicluster is obtained from an error-free additive bicluster by randomly changing each element to a number in [0, L − 1] with probability θ. We propose an O (n2m) time algorithm based on voting to solve the problem. We show that when \\documentclass{aastex}\\usepackage{amsbsy}\\usepackage{amsfonts}\\usepackage{amssymb}\\usepackage{bm}\\usepackage{mathrsfs}\\usepackage{pifont}\\usepackage{stmaryrd}\\usepackage{textcomp}\\usepackage{portland, xspace}\\usepackage{amsmath, amsxtra}\\pagestyle{empty}\\DeclareMathSizes{10}{9}{7}{6}\\begin{document}$$k \\geq \\Omega (\\sqrt{n \\log n})$$\\end{document}, the voting algorithm can correctly find the implanted bicluster with probability at least \\documentclass{aastex}\\usepackage{amsbsy}\\usepackage{amsfonts}\\usepackage{amssymb}\\usepackage{bm}\\usepackage{mathrsfs}\\usepackage{pifont}\\usepackage{stmaryrd}\\usepackage{textcomp}\\usepackage{portland, xspace}\\usepackage{amsmath, amsxtra}\\pagestyle{empty}\\DeclareMathSizes{10}{9}{7}{6}\\begin{document}$$1 - {\\frac {9} {n^ {2}}}$$\\end{document}. We also implement our algorithm as a C++ program named VOTE. The implementation incorporates several ideas for estimating the size of an implanted bicluster, adjusting the threshold in voting, dealing with small biclusters, and dealing with overlapping implanted biclusters. Our experimental results on both simulated and real datasets show that VOTE can find biclusters with a high accuracy and speed. PMID:19040364

AVNM: A Voting based Novel Mathematical Rule for Image Classification.

PubMed

Vidyarthi, Ankit; Mittal, Namita

2016-12-01

In machine learning, the accuracy of the system depends upon classification result. Classification accuracy plays an imperative role in various domains. Non-parametric classifier like K-Nearest Neighbor (KNN) is the most widely used classifier for pattern analysis. Besides its easiness, simplicity and effectiveness characteristics, the main problem associated with KNN classifier is the selection of a number of nearest neighbors i.e. "k" for computation. At present, it is hard to find the optimal value of "k" using any statistical algorithm, which gives perfect accuracy in terms of low misclassification error rate. Motivated by the prescribed problem, a new sample space reduction weighted voting mathematical rule (AVNM) is proposed for classification in machine learning. The proposed AVNM rule is also non-parametric in nature like KNN. AVNM uses the weighted voting mechanism with sample space reduction to learn and examine the predicted class label for unidentified sample. AVNM is free from any initial selection of predefined variable and neighbor selection as found in KNN algorithm. The proposed classifier also reduces the effect of outliers. To verify the performance of the proposed AVNM classifier, experiments are made on 10 standard datasets taken from UCI database and one manually created dataset. The experimental result shows that the proposed AVNM rule outperforms the KNN classifier and its variants. Experimentation results based on confusion matrix accuracy parameter proves higher accuracy value with AVNM rule. The proposed AVNM rule is based on sample space reduction mechanism for identification of an optimal number of nearest neighbor selections. AVNM results in better classification accuracy and minimum error rate as compared with the state-of-art algorithm, KNN, and its variants. The proposed rule automates the selection of nearest neighbor selection and improves classification rate for UCI dataset and manually created dataset. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Enhancing navigation in biomedical databases by community voting and database-driven text classification

PubMed Central

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

77 FR 19054 - Railroad Safety Advisory Committee; Notice of Meeting

Federal Register 2010, 2011, 2012, 2013, 2014

2012-03-29

... Safety Standards, Critical Incident, Dark Territory, Fatigue Management, Risk Reduction, Electronic... FRA on railroad safety matters. The RSAC is composed of 54 voting representatives from 31 member...

12 CFR 620.21 - Contents of the information statement and other information to be furnished in connection with...

Code of Federal Regulations, 2010 CFR

2010-01-01

... is to be held in more than one session and paper mail or electronic mail balloting will be conducted... only at the first session. (B) If shareholders will not vote solely by paper mail or electronic mail... annual meeting is held in a region, and if paper mail or electronic mail balloting will be conducted at...

Fault tolerant architectures for integrated aircraft electronics systems

NASA Technical Reports Server (NTRS)

Levitt, K. N.; Melliar-Smith, P. M.; Schwartz, R. L.

1983-01-01

Work into possible architectures for future flight control computer systems is described. Ada for Fault-Tolerant Systems, the NETS Network Error-Tolerant System architecture, and voting in asynchronous systems are covered.

Using Instant Messaging Systems as a Platform for Electronic Voting

NASA Astrophysics Data System (ADS)

Meletiadou, Anastasia; Grimm, Rüdiger

Many Instant Messaging (IM) systems like Skype or Spark offer ex tended services such as file sharing, VoIP, or a shared whiteboard. As the name suggests, IM applications are predominantly used for spontaneous text-based communication for private or business purposes. In this paper we explore their potential to serve as platforms for secure collaborative applications like electronic contract negotiation, e-payment or electronic voting. Such applications have to deal with challenges like time constraints (“instant” com munication is desired), integration of media channels and the absence of one uni fying “sphere of control” covering all participants. In this paper, we address these challenges by discussing one particular secure collaborative application: secure decision processes for small groups. We provide the following contribu tions: (1) we define three varying scenarios and corresponding security require ments (2) we present an IM-based architecture implementing these scenarios, in cluding a Video-based authentication mechanism, and (3) we discuss poten tial attack patterns.

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.

Comparison of Hybrid Classifiers for Crop Classification Using Normalized Difference Vegetation Index Time Series: A Case Study for Major Crops in North Xinjiang, China

PubMed Central

Hao, Pengyu; Wang, Li; Niu, Zheng

2015-01-01

A range of single classifiers have been proposed to classify crop types using time series vegetation indices, and hybrid classifiers are used to improve discriminatory power. Traditional fusion rules use the product of multi-single classifiers, but that strategy cannot integrate the classification output of machine learning classifiers. In this research, the performance of two hybrid strategies, multiple voting (M-voting) and probabilistic fusion (P-fusion), for crop classification using NDVI time series were tested with different training sample sizes at both pixel and object levels, and two representative counties in north Xinjiang were selected as study area. The single classifiers employed in this research included Random Forest (RF), Support Vector Machine (SVM), and See 5 (C 5.0). The results indicated that classification performance improved (increased the mean overall accuracy by 5%~10%, and reduced standard deviation of overall accuracy by around 1%) substantially with the training sample number, and when the training sample size was small (50 or 100 training samples), hybrid classifiers substantially outperformed single classifiers with higher mean overall accuracy (1%~2%). However, when abundant training samples (4,000) were employed, single classifiers could achieve good classification accuracy, and all classifiers obtained similar performances. Additionally, although object-based classification did not improve accuracy, it resulted in greater visual appeal, especially in study areas with a heterogeneous cropping pattern. PMID:26360597

Efficient cost-sensitive human-machine collaboration for offline signature verification

NASA Astrophysics Data System (ADS)

Coetzer, Johannes; Swanepoel, Jacques; Sabourin, Robert

2012-01-01

We propose a novel strategy for the optimal combination of human and machine decisions in a cost-sensitive environment. The proposed algorithm should be especially beneficial to financial institutions where off-line signatures, each associated with a specific transaction value, require authentication. When presented with a collection of genuine and fraudulent training signatures, produced by so-called guinea pig writers, the proficiency of a workforce of human employees and a score-generating machine can be estimated and represented in receiver operating characteristic (ROC) space. Using a set of Boolean fusion functions, the majority vote decision of the human workforce is combined with each threshold-specific machine-generated decision. The performance of the candidate ensembles is estimated and represented in ROC space, after which only the optimal ensembles and associated decision trees are retained. When presented with a questioned signature linked to an arbitrary writer, the system first uses the ROC-based cost gradient associated with the transaction value to select the ensemble that minimises the expected cost, and then uses the corresponding decision tree to authenticate the signature in question. We show that, when utilising the entire human workforce, the incorporation of a machine streamlines the authentication process and decreases the expected cost for all operating conditions.

Electronic gaming machines: are they the 'crack-cocaine' of gambling?

PubMed

Dowling, Nicki; Smith, David; Thomas, Trang

2005-01-01

There is a general view that electronic gaming is the most 'addictive' form of gambling, in that it contributes more to causing problem gambling than any other gambling activity. As such, electronic gaming machines have been referred to as the 'crack-cocaine' of gambling. While this analogy has popular appeal, it is only recently that the scientific community has begun to investigate its validity. In line with the belief that electronic gambling has a higher 'addictive' potential than other forms of gambling, research has also begun to focus on identifying the characteristics of gaming machines that may be associated with problem gambling behaviour. This paper will review the different types of modern electronic gaming machines, and will use the introduction of gaming machines to Australia to examine the association between electronic gaming and problem gambling, with particular reference to the characteristics of modern electronic gaming machines. Despite overwhelming acceptance that gaming machines are associated with the highest level of problem gambling, the empirical literature provides inconclusive evidence to support the analogy linking electronic gaming to 'crack-cocaine'. Rigorous and systematic evaluation is required to establish definitively the absolute 'addictive' potential of gaming machines and the degree to which machine characteristics influence the development and maintenance of problem gambling behaviour.

Supervised Detection of Anomalous Light Curves in Massive Astronomical Catalogs

NASA Astrophysics Data System (ADS)

Nun, Isadora; Pichara, Karim; Protopapas, Pavlos; Kim, Dae-Won

2014-09-01

The development of synoptic sky surveys has led to a massive amount of data for which resources needed for analysis are beyond human capabilities. In order to process this information and to extract all possible knowledge, machine learning techniques become necessary. Here we present a new methodology to automatically discover unknown variable objects in large astronomical catalogs. With the aim of taking full advantage of all information we have about known objects, our method is based on a supervised algorithm. In particular, we train a random forest classifier using known variability classes of objects and obtain votes for each of the objects in the training set. We then model this voting distribution with a Bayesian network and obtain the joint voting distribution among the training objects. Consequently, an unknown object is considered as an outlier insofar it has a low joint probability. By leaving out one of the classes on the training set, we perform a validity test and show that when the random forest classifier attempts to classify unknown light curves (the class left out), it votes with an unusual distribution among the classes. This rare voting is detected by the Bayesian network and expressed as a low joint probability. Our method is suitable for exploring massive data sets given that the training process is performed offline. We tested our algorithm on 20 million light curves from the MACHO catalog and generated a list of anomalous candidates. After analysis, we divided the candidates into two main classes of outliers: artifacts and intrinsic outliers. Artifacts were principally due to air mass variation, seasonal variation, bad calibration, or instrumental errors and were consequently removed from our outlier list and added to the training set. After retraining, we selected about 4000 objects, which we passed to a post-analysis stage by performing a cross-match with all publicly available catalogs. Within these candidates we identified certain known but rare objects such as eclipsing Cepheids, blue variables, cataclysmic variables, and X-ray sources. For some outliers there was no additional information. Among them we identified three unknown variability types and a few individual outliers that will be followed up in order to perform a deeper analysis.

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

Nun, Isadora; Pichara, Karim; Protopapas, Pavlos

The development of synoptic sky surveys has led to a massive amount of data for which resources needed for analysis are beyond human capabilities. In order to process this information and to extract all possible knowledge, machine learning techniques become necessary. Here we present a new methodology to automatically discover unknown variable objects in large astronomical catalogs. With the aim of taking full advantage of all information we have about known objects, our method is based on a supervised algorithm. In particular, we train a random forest classifier using known variability classes of objects and obtain votes for each ofmore » the objects in the training set. We then model this voting distribution with a Bayesian network and obtain the joint voting distribution among the training objects. Consequently, an unknown object is considered as an outlier insofar it has a low joint probability. By leaving out one of the classes on the training set, we perform a validity test and show that when the random forest classifier attempts to classify unknown light curves (the class left out), it votes with an unusual distribution among the classes. This rare voting is detected by the Bayesian network and expressed as a low joint probability. Our method is suitable for exploring massive data sets given that the training process is performed offline. We tested our algorithm on 20 million light curves from the MACHO catalog and generated a list of anomalous candidates. After analysis, we divided the candidates into two main classes of outliers: artifacts and intrinsic outliers. Artifacts were principally due to air mass variation, seasonal variation, bad calibration, or instrumental errors and were consequently removed from our outlier list and added to the training set. After retraining, we selected about 4000 objects, which we passed to a post-analysis stage by performing a cross-match with all publicly available catalogs. Within these candidates we identified certain known but rare objects such as eclipsing Cepheids, blue variables, cataclysmic variables, and X-ray sources. For some outliers there was no additional information. Among them we identified three unknown variability types and a few individual outliers that will be followed up in order to perform a deeper analysis.« less

Final slate for AGU elections this fall

NASA Astrophysics Data System (ADS)

2012-07-01

Your vote is important! This fall, AGU members will elect leaders for the next term (1 January 2013 to 31 December 2014). This issue of Eos provides details about the upcoming election and information on candidates for open AGU Board and Council positions as well as section and focus group secretary positions. All regular and student members who joined or renewed their membership by 1 July 2012 are eligible to vote in this year's election of AGU leaders. The election will be held electronically, and all members must have a valid e-mail address on file at AGU to receive login credentials from the company conducting the election.

Using multiple classifiers for predicting the risk of endovascular aortic aneurysm repair re-intervention through hybrid feature selection.

PubMed

Attallah, Omneya; Karthikesalingam, Alan; Holt, Peter Je; Thompson, Matthew M; Sayers, Rob; Bown, Matthew J; Choke, Eddie C; Ma, Xianghong

2017-11-01

Feature selection is essential in medical area; however, its process becomes complicated with the presence of censoring which is the unique character of survival analysis. Most survival feature selection methods are based on Cox's proportional hazard model, though machine learning classifiers are preferred. They are less employed in survival analysis due to censoring which prevents them from directly being used to survival data. Among the few work that employed machine learning classifiers, partial logistic artificial neural network with auto-relevance determination is a well-known method that deals with censoring and perform feature selection for survival data. However, it depends on data replication to handle censoring which leads to unbalanced and biased prediction results especially in highly censored data. Other methods cannot deal with high censoring. Therefore, in this article, a new hybrid feature selection method is proposed which presents a solution to high level censoring. It combines support vector machine, neural network, and K-nearest neighbor classifiers using simple majority voting and a new weighted majority voting method based on survival metric to construct a multiple classifier system. The new hybrid feature selection process uses multiple classifier system as a wrapper method and merges it with iterated feature ranking filter method to further reduce features. Two endovascular aortic repair datasets containing 91% censored patients collected from two centers were used to construct a multicenter study to evaluate the performance of the proposed approach. The results showed the proposed technique outperformed individual classifiers and variable selection methods based on Cox's model such as Akaike and Bayesian information criterions and least absolute shrinkage and selector operator in p values of the log-rank test, sensitivity, and concordance index. This indicates that the proposed classifier is more powerful in correctly predicting the risk of re-intervention enabling doctor in selecting patients' future follow-up plan.

Defense.gov - Special Report: VOTE

Science.gov Websites

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

Ratification vote on taxonomic proposals to the International Committee on Taxonomy of Viruses (2016).

PubMed

Adams, Michael J; Lefkowitz, Elliot J; King, Andrew M Q; Harrach, Balázs; Harrison, Robert L; Knowles, Nick J; Kropinski, Andrew M; Krupovic, Mart; Kuhn, Jens H; Mushegian, Arcady R; Nibert, Max; Sabanadzovic, Sead; Sanfaçon, Hélène; Siddell, Stuart G; Simmonds, Peter; Varsani, Arvind; Zerbini, Francisco Murilo; Gorbalenya, Alexander E; Davison, Andrew J

2016-10-01

This article lists the changes to virus taxonomy approved and ratified by the International Committee on Taxonomy of Viruses (ICTV) in April 2016.Changes to virus taxonomy (the Universal Scheme of Virus Classification of the International Committee on Taxonomy of Viruses [ICTV]) now take place annually and are the result of a multi-stage process. In accordance with the ICTV Statutes ( http://www.ictvonline.org/statutes.asp ), proposals submitted to the ICTV Executive Committee (EC) undergo a review process that involves input from the ICTV Study Groups (SGs) and Subcommittees (SCs), other interested virologists, and the EC. After final approval by the EC, proposals are then presented for ratification to the full ICTV membership by publication on an ICTV web site ( http://www.ictvonline.org/ ) followed by an electronic vote. The latest set of proposals approved by the EC was made available on the ICTV website by January 2016 ( https://talk.ictvonline.org/files/proposals/ ). A list of these proposals was then emailed on 28 March 2016 to the 148 members of ICTV, namely the EC Members, Life Members, ICTV Subcommittee Members (including the SG chairs) and ICTV National Representatives. Members were then requested to vote on whether to ratify the taxonomic proposals (voting closed on 29 April 2016).

Speaker gender identification based on majority vote classifiers

NASA Astrophysics Data System (ADS)

Mezghani, Eya; Charfeddine, Maha; Nicolas, Henri; Ben Amar, Chokri

2017-03-01

Speaker gender identification is considered among the most important tools in several multimedia applications namely in automatic speech recognition, interactive voice response systems and audio browsing systems. Gender identification systems performance is closely linked to the selected feature set and the employed classification model. Typical techniques are based on selecting the best performing classification method or searching optimum tuning of one classifier parameters through experimentation. In this paper, we consider a relevant and rich set of features involving pitch, MFCCs as well as other temporal and frequency-domain descriptors. Five classification models including decision tree, discriminant analysis, nave Bayes, support vector machine and k-nearest neighbor was experimented. The three best perming classifiers among the five ones will contribute by majority voting between their scores. Experimentations were performed on three different datasets spoken in three languages: English, German and Arabic in order to validate language independency of the proposed scheme. Results confirm that the presented system has reached a satisfying accuracy rate and promising classification performance thanks to the discriminating abilities and diversity of the used features combined with mid-level statistics.

Tweeting for and against public health policy: response to the Chicago Department of Public Health's electronic cigarette Twitter campaign.

PubMed

Harris, Jenine K; Moreland-Russell, Sarah; Choucair, Bechara; Mansour, Raed; Staub, Mackenzie; Simmons, Kendall

2014-10-16

In January 2014, the Chicago City Council scheduled a vote on local regulation of electronic cigarettes as tobacco products. One week prior to the vote, the Chicago Department of Public Health (CDPH) released a series of messages about electronic cigarettes (e-cigarettes) through its Twitter account. Shortly after the messages, or tweets, were released, the department's Twitter account became the target of a "Twitter bomb" by Twitter users sending more than 600 tweets in one week against the proposed regulation. The purpose of our study was to examine the messages and tweet patterns in the social media response to the CDPH e-cigarette campaign. We collected all tweets mentioning the CDPH in the week between the e-cigarette campaign and the vote on the new local e-cigarette policy. We conducted a content analysis of the tweets, used descriptive statistics to examine characteristics of involved Twitter users, and used network visualization and descriptive statistics to identify Twitter users prominent in the conversation. Of the 683 tweets mentioning CDPH during the week, 609 (89.2%) were anti-policy. More than half of anti-policy tweets were about use of electronic cigarettes for cessation as a healthier alternative to combustible cigarettes (358/609, 58.8%). Just over one-third of anti-policy tweets asserted that the health department was lying or disseminating propaganda (224/609, 36.8%). Approximately 14% (96/683, 14.1%) of the tweets used an account or included elements consistent with "astroturfing"-a strategy employed to promote a false sense of consensus around an idea. Few Twitter users were from the Chicago area; Twitter users from Chicago were significantly more likely than expected to tweet in support of the policy. Our findings may assist public health organizations to anticipate, recognize, and respond to coordinated social media campaigns.

Tweeting for and Against Public Health Policy: Response to the Chicago Department of Public Health's Electronic Cigarette Twitter Campaign

PubMed Central

Moreland-Russell, Sarah; Choucair, Bechara; Mansour, Raed; Staub, Mackenzie; Simmons, Kendall

2014-01-01

Background In January 2014, the Chicago City Council scheduled a vote on local regulation of electronic cigarettes as tobacco products. One week prior to the vote, the Chicago Department of Public Health (CDPH) released a series of messages about electronic cigarettes (e-cigarettes) through its Twitter account. Shortly after the messages, or tweets, were released, the department’s Twitter account became the target of a “Twitter bomb” by Twitter users sending more than 600 tweets in one week against the proposed regulation. Objective The purpose of our study was to examine the messages and tweet patterns in the social media response to the CDPH e-cigarette campaign. Methods We collected all tweets mentioning the CDPH in the week between the e-cigarette campaign and the vote on the new local e-cigarette policy. We conducted a content analysis of the tweets, used descriptive statistics to examine characteristics of involved Twitter users, and used network visualization and descriptive statistics to identify Twitter users prominent in the conversation. Results Of the 683 tweets mentioning CDPH during the week, 609 (89.2%) were anti-policy. More than half of anti-policy tweets were about use of electronic cigarettes for cessation as a healthier alternative to combustible cigarettes (358/609, 58.8%). Just over one-third of anti-policy tweets asserted that the health department was lying or disseminating propaganda (224/609, 36.8%). Approximately 14% (96/683, 14.1%) of the tweets used an account or included elements consistent with “astroturfing”—a strategy employed to promote a false sense of consensus around an idea. Few Twitter users were from the Chicago area; Twitter users from Chicago were significantly more likely than expected to tweet in support of the policy. Conclusions Our findings may assist public health organizations to anticipate, recognize, and respond to coordinated social media campaigns. PMID:25320863

The Merli-Missiroli-Pozzi Two-Slit Electron-Interference Experiment.

PubMed

Rosa, Rodolfo

In 2002 readers of Physics World voted Young's double-slit experiment with single electrons as "the most beautiful experiment in physics" of all time. Pier Giorgio Merli, Gian Franco Missiroli, and Giulio Pozzi carried out this experiment in a collaboration between the Italian Research Council and the University of Bologna almost three decades earlier. I examine their experiment, place it in historical context, and discuss its philosophical implications.

Formative Assessment in Mathematics for Engineering Students

ERIC Educational Resources Information Center

Ní Fhloinn, Eabhnat; Carr, Michael

2017-01-01

In this paper, we present a range of formative assessment types for engineering mathematics, including in-class exercises, homework, mock examination questions, table quizzes, presentations, critical analyses of statistical papers, peer-to-peer teaching, online assessments and electronic voting systems. We provide practical tips for the…

Dual redundant core memory systems

NASA Technical Reports Server (NTRS)

Hull, F. E.

1972-01-01

Electronic memory system consisting of series redundant drive switch circuits, triple redundant majority voted memory timing functions, and two data registers to provide functional dual redundancy is described. Signal flow through the circuits is illustrated and equence of events which occur within the memory system is explained.

78 FR 49780 - Sunshine Act Meetings

Federal Register 2010, 2011, 2012, 2013, 2014

2013-08-15

... MORRIS K. UDALL AND STEWART L. UDALL FOUNDATION Sunshine Act Meetings TIME AND DATE: Electronic... CONSIDERED: Discuss and vote on the candidate for Executive Director of the Morris K. Udall and Stewart L.... Monroe, Executive Assistant, Morris K. Udall and Stewart L. Udall Foundation, and Federal Register...

A P&T Committee’s Transition to a Complete Electronic Meeting System—A Multisite Institution Experience

PubMed Central

Al-Jedai, Ahmed H.; Algain, Roaa A.; Alghamidi, Said A.; Al-Jazairi, Abdulrazaq S.; Amin, Rashid; Bin Hussain, Ibrahim Z.

2017-01-01

Purpose In the last few decades, changes to formulary management processes have taken place in institutions with closed formulary systems. However, many P&T committees continued to operate using traditional paper-based systems. Paper-based systems have many limitations, including confidentiality, efficiency, open voting, and paper wastage. This becomes more challenging when dealing with a multisite P&T committee that handles formulary matters across the whole health care system. In this paper, we discuss the implementation of the first paperless, completely electronic, Web-based formulary management system across a large health care system in the Middle East. Summary We describe the transitioning of a multisite P&T committee in a large tertiary care institution from a paper-based to an all-electronic system. The challenges and limitations of running a multisite P&T committee utilizing a paper system are discussed. The design and development of a Web-based committee floor management application that can be used from notebooks, tablets, and hand-held devices is described. Implementation of a flexible, interactive, easy-to-use, and efficient electronic formulary management system is explained in detail. Conclusion The development of an electronic P&T committee meeting system that encompasses electronic document sharing, voting, and communication could help multisite health care systems unify their formularies across multiple sites. Our experience might not be generalizable to all institutions because this depends heavily on system features, existing processes and workflow, and implementation across different sites. PMID:29018301

A P&T Committee's Transition to a Complete Electronic Meeting System-A Multisite Institution Experience.

PubMed

Al-Jedai, Ahmed H; Algain, Roaa A; Alghamidi, Said A; Al-Jazairi, Abdulrazaq S; Amin, Rashid; Bin Hussain, Ibrahim Z

2017-10-01

In the last few decades, changes to formulary management processes have taken place in institutions with closed formulary systems. However, many P&T committees continued to operate using traditional paper-based systems. Paper-based systems have many limitations, including confidentiality, efficiency, open voting, and paper wastage. This becomes more challenging when dealing with a multisite P&T committee that handles formulary matters across the whole health care system. In this paper, we discuss the implementation of the first paperless, completely electronic, Web-based formulary management system across a large health care system in the Middle East. We describe the transitioning of a multisite P&T committee in a large tertiary care institution from a paper-based to an all-electronic system. The challenges and limitations of running a multisite P&T committee utilizing a paper system are discussed. The design and development of a Web-based committee floor management application that can be used from notebooks, tablets, and hand-held devices is described. Implementation of a flexible, interactive, easy-to-use, and efficient electronic formulary management system is explained in detail. The development of an electronic P&T committee meeting system that encompasses electronic document sharing, voting, and communication could help multisite health care systems unify their formularies across multiple sites. Our experience might not be generalizable to all institutions because this depends heavily on system features, existing processes and workflow, and implementation across different sites.

2008 Post-Election Voting Survey of Department of State Voting Assistance Officers: Tabulation of Responses

DTIC Science & Technology

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…

75 FR 14575 - Voting Equipment Evaluations Phase III

Federal Register 2010, 2011, 2012, 2013, 2014

2010-03-26

..., Human Performance-Based Standards and Usability Testing. NIST Phase III research is designed to: (1... vendor equipment will not be released. Comparative information may be released in a blind manner... electronic poll book systems as well as software used for ballot design and creation. Dated: March 23, 2010...

Lecture-Free High School Biology Using an Audience Response System

ERIC Educational Resources Information Center

Barnes, Larry J.

2008-01-01

Audience Response Systems (ARS) represent a powerful new tool for increasing student engagement. ARS technology (known variously as electronic voting systems, personal response systems, interactive student response systems, and classroom performance systems) includes one hand-held remote per student, a receiver (infrared or radio frequency,…

When Teens Turn Cyberbullies

ERIC Educational Resources Information Center

Strom, Paris S.; Strom, Robert D.

2005-01-01

Cyber harassment involves using an electronic medium to threaten or harm others. E-mail, chat rooms, cell phones, instant messaging, pagers, text messaging, and online voting booths are tools used to inflict humiliation, fear, and a sense of helplessness. This type of intimidation differs from traditional bullying in several important ways. Unlike…

Formal design and verification of a reliable computing platform for real-time control (phase 3 results)

NASA Technical Reports Server (NTRS)

Butler, Ricky W.; Divito, Ben L.; Holloway, C. Michael

1994-01-01

In this paper the design and formal verification of the lower levels of the Reliable Computing Platform (RCP), a fault-tolerant computing system for digital flight control applications, are presented. The RCP uses NMR-style redundancy to mask faults and internal majority voting to flush the effects of transient faults. Two new layers of the RCP hierarchy are introduced: the Minimal Voting refinement (DA_minv) of the Distributed Asynchronous (DA) model and the Local Executive (LE) Model. Both the DA_minv model and the LE model are specified formally and have been verified using the Ehdm verification system. All specifications and proofs are available electronically via the Internet using anonymous FTP or World Wide Web (WWW) access.

V-ELMpiRNAPred: Identification of human piRNAs by the voting-based extreme learning machine (V-ELM) with a new hybrid feature.

PubMed

Pian, Cong; Chen, Yuan-Yuan; Zhang, Jin; Chen, Zhi; Zhang, Guang-Le; Li, Qiang; Yang, Tao; Zhang, Liang-Yun

2017-02-01

Piwi-interacting RNAs (piRNAs) were recently discovered as endogenous small noncoding RNAs. Some recent research suggests that piRNAs may play an important role in cancer. So the precise identification of human piRNAs is a significant work. In this paper, we introduce a series of new features with 80 dimension called short sequence motifs (SSM). A hybrid feature vector with 1444 dimension can be formed by combining 1364 features of [Formula: see text]-mer strings and 80 features of SSM features. We optimize the 1444 dimension features using the feature score criterion (FSC) and list them in descending order according to the scores. The first 462 are selected as the input feature vector in the classifier. Moreover, eight of 80 SSM features appear in the top 20. This indicates that these eight SSM features play an important part in the identification of piRNAs. Since five of the above eight SSM features are associated with nucleotide A and G ('A*G', 'A**G', 'A***G', 'A****G', 'A*****G'). So, we guess there may exist some biological significance. We also use a neural network algorithm called voting-based extreme learning machine (V-ELM) to identify real piRNAs. The Specificity (Sp) and Sensitivity (Sn) of our method are 95.48% and 94.61%, respectively in human species. This result shows that our method is more effective compared with those of the piRPred, piRNApredictor, Asym-Pibomd, Piano and McRUMs. The web service of V-ELMpiRNAPred is available for free at http://mm20132014.wicp.net:38601/velmprepiRNA/Main.jsp .

Use of Artificial Intelligence and Machine Learning Algorithms with Gene Expression Profiling to Predict Recurrent Nonmuscle Invasive Urothelial Carcinoma of the Bladder.

PubMed

Bartsch, Georg; Mitra, Anirban P; Mitra, Sheetal A; Almal, Arpit A; Steven, Kenneth E; Skinner, Donald G; Fry, David W; Lenehan, Peter F; Worzel, William P; Cote, Richard J

2016-02-01

Due to the high recurrence risk of nonmuscle invasive urothelial carcinoma it is crucial to distinguish patients at high risk from those with indolent disease. In this study we used a machine learning algorithm to identify the genes in patients with nonmuscle invasive urothelial carcinoma at initial presentation that were most predictive of recurrence. We used the genes in a molecular signature to predict recurrence risk within 5 years after transurethral resection of bladder tumor. Whole genome profiling was performed on 112 frozen nonmuscle invasive urothelial carcinoma specimens obtained at first presentation on Human WG-6 BeadChips (Illumina®). A genetic programming algorithm was applied to evolve classifier mathematical models for outcome prediction. Cross-validation based resampling and gene use frequencies were used to identify the most prognostic genes, which were combined into rules used in a voting algorithm to predict the sample target class. Key genes were validated by quantitative polymerase chain reaction. The classifier set included 21 genes that predicted recurrence. Quantitative polymerase chain reaction was done for these genes in a subset of 100 patients. A 5-gene combined rule incorporating a voting algorithm yielded 77% sensitivity and 85% specificity to predict recurrence in the training set, and 69% and 62%, respectively, in the test set. A singular 3-gene rule was constructed that predicted recurrence with 80% sensitivity and 90% specificity in the training set, and 71% and 67%, respectively, in the test set. Using primary nonmuscle invasive urothelial carcinoma from initial occurrences genetic programming identified transcripts in reproducible fashion, which were predictive of recurrence. These findings could potentially impact nonmuscle invasive urothelial carcinoma management. Copyright © 2016 American Urological Association Education and Research, Inc. Published by Elsevier Inc. All rights reserved.

Improved Vote Aggregation Techniques for the Geo-Wiki Cropland Capture Crowdsourcing Game

NASA Astrophysics Data System (ADS)

Baklanov, Artem; Fritz, Steffen; Khachay, Michael; Nurmukhametov, Oleg; Salk, Carl; See, Linda; Shchepashchenko, Dmitry

2016-04-01

Crowdsourcing is a new approach for solving data processing problems for which conventional methods appear to be inaccurate, expensive, or time-consuming. Nowadays, the development of new crowdsourcing techniques is mostly motivated by so called Big Data problems, including problems of assessment and clustering for large datasets obtained in aerospace imaging, remote sensing, and even in social network analysis. By involving volunteers from all over the world, the Geo-Wiki project tackles problems of environmental monitoring with applications to flood resilience, biomass data analysis and classification of land cover. For example, the Cropland Capture Game, which is a gamified version of Geo-Wiki, was developed to aid in the mapping of cultivated land, and was used to gather 4.5 million image classifications from the Earth's surface. More recently, the Picture Pile game, which is a more generalized version of Cropland Capture, aims to identify tree loss over time from pairs of very high resolution satellite images. Despite recent progress in image analysis, the solution to these problems is hard to automate since human experts still outperform the majority of machine learning algorithms and artificial systems in this field on certain image recognition tasks. The replacement of rare and expensive experts by a team of distributed volunteers seems to be promising, but this approach leads to challenging questions such as: how can individual opinions be aggregated optimally, how can confidence bounds be obtained, and how can the unreliability of volunteers be dealt with? In this paper, on the basis of several known machine learning techniques, we propose a technical approach to improve the overall performance of the majority voting decision rule used in the Cropland Capture Game. The proposed approach increases the estimated consistency with expert opinion from 77% to 86%.

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.

PubMed

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.

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…

Machine-Learning Algorithms to Automate Morphological and Functional Assessments in 2D Echocardiography.

PubMed

Narula, Sukrit; Shameer, Khader; Salem Omar, Alaa Mabrouk; Dudley, Joel T; Sengupta, Partho P

2016-11-29

Machine-learning models may aid cardiac phenotypic recognition by using features of cardiac tissue deformation. This study investigated the diagnostic value of a machine-learning framework that incorporates speckle-tracking echocardiographic data for automated discrimination of hypertrophic cardiomyopathy (HCM) from physiological hypertrophy seen in athletes (ATH). Expert-annotated speckle-tracking echocardiographic datasets obtained from 77 ATH and 62 HCM patients were used for developing an automated system. An ensemble machine-learning model with 3 different machine-learning algorithms (support vector machines, random forests, and artificial neural networks) was developed and a majority voting method was used for conclusive predictions with further K-fold cross-validation. Feature selection using an information gain (IG) algorithm revealed that volume was the best predictor for differentiating between HCM ands. ATH (IG = 0.24) followed by mid-left ventricular segmental (IG = 0.134) and average longitudinal strain (IG = 0.131). The ensemble machine-learning model showed increased sensitivity and specificity compared with early-to-late diastolic transmitral velocity ratio (p < 0.01), average early diastolic tissue velocity (e') (p < 0.01), and strain (p = 0.04). Because ATH were younger, adjusted analysis was undertaken in younger HCM patients and compared with ATH with left ventricular wall thickness >13 mm. In this subgroup analysis, the automated model continued to show equal sensitivity, but increased specificity relative to early-to-late diastolic transmitral velocity ratio, e', and strain. Our results suggested that machine-learning algorithms can assist in the discrimination of physiological versus pathological patterns of hypertrophic remodeling. This effort represents a step toward the development of a real-time, machine-learning-based system for automated interpretation of echocardiographic images, which may help novice readers with limited experience. Copyright © 2016 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

Recognition of multiple imbalanced cancer types based on DNA microarray data using ensemble classifiers.

PubMed

Yu, Hualong; Hong, Shufang; Yang, Xibei; Ni, Jun; Dan, Yuanyuan; Qin, Bin

2013-01-01

DNA microarray technology can measure the activities of tens of thousands of genes simultaneously, which provides an efficient way to diagnose cancer at the molecular level. Although this strategy has attracted significant research attention, most studies neglect an important problem, namely, that most DNA microarray datasets are skewed, which causes traditional learning algorithms to produce inaccurate results. Some studies have considered this problem, yet they merely focus on binary-class problem. In this paper, we dealt with multiclass imbalanced classification problem, as encountered in cancer DNA microarray, by using ensemble learning. We utilized one-against-all coding strategy to transform multiclass to multiple binary classes, each of them carrying out feature subspace, which is an evolving version of random subspace that generates multiple diverse training subsets. Next, we introduced one of two different correction technologies, namely, decision threshold adjustment or random undersampling, into each training subset to alleviate the damage of class imbalance. Specifically, support vector machine was used as base classifier, and a novel voting rule called counter voting was presented for making a final decision. Experimental results on eight skewed multiclass cancer microarray datasets indicate that unlike many traditional classification approaches, our methods are insensitive to class imbalance.

Ensemble Clustering using Semidefinite Programming with Applications

PubMed Central

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.

PubMed

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.

77 FR 50761 - GWI Voting Trust and R. Lawrence McCaffery, Voting Trustee-Control Exemption-RailAmerica, Inc...

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...

14 CFR 47.8 - Voting trusts.

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...

Do warning signs on electronic gaming machines influence irrational cognitions?

PubMed

Monaghan, Sally; Blaszczynski, Alex; Nower, Lia

2009-08-01

Electronic gaming machines are popular among problem gamblers; in response, governments have introduced "responsible gaming" legislation incorporating the mandatory display of warning signs on or near electronic gaming machines. These signs are designed to correct irrational and erroneous beliefs through the provision of accurate information on probabilities of winning and the concept of randomness. There is minimal empirical data evaluating the effectiveness of such signs. In this study, 93 undergraduate students were randomly allocated to standard and informative messages displayed on an electronic gaming machine during play in a laboratory setting. Results revealed that a majority of participants incorrectly estimated gambling odds and reported irrational gambling-related cognitions prior to play. In addition, there were no significant between-group differences, and few participants recalled the content of messages or modified their gambling-related cognitions. Signs placed on electronic gaming machines may not modify irrational beliefs or alter gambling behaviour.

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.

Association of Coloproctology of Great Britain and Ireland consensus exercise on surgical management of fistulating perianal Crohn's disease.

PubMed

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.

"Pretty Lights" and Maths! Increasing Student Engagement and Enhancing Learning through the Use of Electronic Voting Systems

ERIC Educational Resources Information Center

King, Samuel O.; Robinson, Carol L.

2009-01-01

University classes in Mathematics are traditionally perceived to be uninspiring and devoid of active student-lecturer communication. Large undergraduate classes further compound the difficulty of engaging students and enabling viable student-lecturer feedback. At the Mathematics Education Centre, Loughborough University, some staff members have…

Changing the Nature of Lectures Using a Personal Response System

ERIC Educational Resources Information Center

Masikunis, George; Panayiotidis, Andreas; Burke, Linda

2009-01-01

This article describes the use of an Electronic Voting System (EVS) in large group lectures within a business and management undergraduate degree programme, in an attempt to make them more interactive. The intention was to ensure that the introduction of the EVS-style lecture was educationally driven, linked to interactive learning activities in…

Catalytic Assessment: Understanding How MCQs and EVS Can Foster Deep Learning

ERIC Educational Resources Information Center

Draper, Stephen W.

2009-01-01

One technology for education whose adoption is currently expanding rapidly in UK higher education is that of electronic voting systems (EVS). As with all educational technology, whether learning benefits are achieved depends not on the technology but on whether an improved teaching method is introduced with it. EVS inherently relies on the…

Robust membrane detection based on tensor voting for electron tomography.

PubMed

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.

On improving the efficiency of tensor voting.

PubMed

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.

A Quantum Proxy Weak Blind Signature Scheme Based on Controlled Quantum Teleportation

NASA Astrophysics Data System (ADS)

Cao, Hai-Jing; Yu, Yao-Feng; Song, Qin; Gao, Lan-Xiang

2015-04-01

Proxy blind signature is applied to the electronic paying system, electronic voting system, mobile agent system, security of internet, etc. A quantum proxy weak blind signature scheme is proposed in this paper. It is based on controlled quantum teleportation. Five-qubit entangled state functions as quantum channel. The scheme uses the physical characteristics of quantum mechanics to implement message blinding, so it could guarantee not only the unconditional security of the scheme but also the anonymity of the messages owner.

Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States

PubMed Central

Gebru, Timnit; Krause, Jonathan; Wang, Yilun; Chen, Duyun; Deng, Jia; Aiden, Erez Lieberman; Fei-Fei, Li

2017-01-01

The United States spends more than $250 million each year on the American Community Survey (ACS), a labor-intensive door-to-door study that measures statistics relating to race, gender, education, occupation, unemployment, and other demographic factors. Although a comprehensive source of data, the lag between demographic changes and their appearance in the ACS can exceed several years. As digital imagery becomes ubiquitous and machine vision techniques improve, automated data analysis may become an increasingly practical supplement to the ACS. Here, we present a method that estimates socioeconomic characteristics of regions spanning 200 US cities by using 50 million images of street scenes gathered with Google Street View cars. Using deep learning-based computer vision techniques, we determined the make, model, and year of all motor vehicles encountered in particular neighborhoods. Data from this census of motor vehicles, which enumerated 22 million automobiles in total (8% of all automobiles in the United States), were used to accurately estimate income, race, education, and voting patterns at the zip code and precinct level. (The average US precinct contains ∼1,000 people.) The resulting associations are surprisingly simple and powerful. For instance, if the number of sedans encountered during a drive through a city is higher than the number of pickup trucks, the city is likely to vote for a Democrat during the next presidential election (88% chance); otherwise, it is likely to vote Republican (82%). Our results suggest that automated systems for monitoring demographics may effectively complement labor-intensive approaches, with the potential to measure demographics with fine spatial resolution, in close to real time. PMID:29183967

Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States.

PubMed

Gebru, Timnit; Krause, Jonathan; Wang, Yilun; Chen, Duyun; Deng, Jia; Aiden, Erez Lieberman; Fei-Fei, Li

2017-12-12

The United States spends more than $250 million each year on the American Community Survey (ACS), a labor-intensive door-to-door study that measures statistics relating to race, gender, education, occupation, unemployment, and other demographic factors. Although a comprehensive source of data, the lag between demographic changes and their appearance in the ACS can exceed several years. As digital imagery becomes ubiquitous and machine vision techniques improve, automated data analysis may become an increasingly practical supplement to the ACS. Here, we present a method that estimates socioeconomic characteristics of regions spanning 200 US cities by using 50 million images of street scenes gathered with Google Street View cars. Using deep learning-based computer vision techniques, we determined the make, model, and year of all motor vehicles encountered in particular neighborhoods. Data from this census of motor vehicles, which enumerated 22 million automobiles in total (8% of all automobiles in the United States), were used to accurately estimate income, race, education, and voting patterns at the zip code and precinct level. (The average US precinct contains ∼1,000 people.) The resulting associations are surprisingly simple and powerful. For instance, if the number of sedans encountered during a drive through a city is higher than the number of pickup trucks, the city is likely to vote for a Democrat during the next presidential election (88% chance); otherwise, it is likely to vote Republican (82%). Our results suggest that automated systems for monitoring demographics may effectively complement labor-intensive approaches, with the potential to measure demographics with fine spatial resolution, in close to real time. Copyright © 2017 the Author(s). Published by PNAS.

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

PubMed Central

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

Multi-temporal Land Use Mapping of Coastal Wetlands Area using Machine Learning in Google Earth Engine

NASA Astrophysics Data System (ADS)

Farda, N. M.

2017-12-01

Coastal wetlands provide ecosystem services essential to people and the environment. Changes in coastal wetlands, especially on land use, are important to monitor by utilizing multi-temporal imagery. The Google Earth Engine (GEE) provides many machine learning algorithms (10 algorithms) that are very useful for extracting land use from imagery. The research objective is to explore machine learning in Google Earth Engine and its accuracy for multi-temporal land use mapping of coastal wetland area. Landsat 3 MSS (1978), Landsat 5 TM (1991), Landsat 7 ETM+ (2001), and Landsat 8 OLI (2014) images located in Segara Anakan lagoon are selected to represent multi temporal images. The input for machine learning are visible and near infrared bands, PCA band, invers PCA bands, bare soil index, vegetation index, wetness index, elevation from ASTER GDEM, and GLCM (Harralick) texture, and also polygon samples in 140 locations. There are 10 machine learning algorithms applied to extract coastal wetlands land use from Landsat imagery. The algorithms are Fast Naive Bayes, CART (Classification and Regression Tree), Random Forests, GMO Max Entropy, Perceptron (Multi Class Perceptron), Winnow, Voting SVM, Margin SVM, Pegasos (Primal Estimated sub-GrAdient SOlver for Svm), IKPamir (Intersection Kernel Passive Aggressive Method for Information Retrieval, SVM). Machine learning in Google Earth Engine are very helpful in multi-temporal land use mapping, the highest accuracy for land use mapping of coastal wetland is CART with 96.98 % Overall Accuracy using K-Fold Cross Validation (K = 10). GEE is particularly useful for multi-temporal land use mapping with ready used image and classification algorithms, and also very challenging for other applications.

Voting rights for psychiatric patients: compromise of the integrity of elections, or empowerment and integration into the community?

PubMed

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.

Usability of a soft-electron (low-energy electron) machine for disinfestation of grains contaminated with insect pests

NASA Astrophysics Data System (ADS)

Imamura, Taro; Miyanoshita, Akihiro; Todoriki, Setsuko; Hayashi, Toru

2004-09-01

Efficacy of soft-electron treatment for disinfestations of grains was investigated by treating pre-infested brown rice and adzuki bean with a commercial-scale soft-electron machine (soft-electron processor). Soft-electrons at 150 kV efficiently disinfested brown rice grains pre-infested with maize weevil ( Stiophilus zeamais Motchulsky) and Indian meal moth ( Plodia interpunctella (Hübner)) and adzuki beans with adzuki bean weevil ( Callosobruchus chinensis (Linne)), although small numbers of the internal feeders such as C. chinensis in adzuki bean and S. zeamais in brown rice survived. The results indicate that the commercial-scale soft-electron machine can disinfest grains and beans, especially those contaminated with external feeders.

78 FR 42761 - Proposed Information Collection-2014 Election Administration and Voting Survey; Comment Request

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.

Conditions for exercising residents' voting rights in long-term care residences: a prospective multicenter study.

PubMed

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.

76 FR 56760 - Granting of Request for Early Termination of the Waiting Period Under the Premerger Notification...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-09-14

... Partners II, L.P.; OCM Principal Opportunities Fund III, L.P. 20111257 G Algonquin Power & Utilities Corp.; Atmos Energy Corporation; Algonquin Power & Utilities Corp. 08/26/2011 20111178 G Smith Family Voting...; Beats Electronics, LLC; HTC Corporation. 20111270 G Atlantic Power Corporation; Capital Power Income L.P...

Technological and Traditional Drawing Approaches Encourage Active Engagement in Histology Classes for Science Undergraduates

ERIC Educational Resources Information Center

Cogdell, Barbara; Torsney, Ben; Stewart, Katherine; Smith, Robert A.

2012-01-01

In order to promote more active engagement of science undergraduates in histology practical classes some technology-based innovations were introduced. First, an interactive pre-lab tutorial was set up using an electronic handset voting system, where guidance on tissue analysis was given. Second, a web-based resource where students could access…

16 CFR 803.9 - Filing fee.

Code of Federal Regulations, 2010 CFR

2010-01-01

... securities of B, a non-publicly traded issuer. The agreed upon acquisition price is $99 million subject to... voting securities of B, a non-publicly traded issuer, but will accept up to 100 percent of the shares if... check or by electronic wire transfer (EWT). The fee must be paid in U.S. currency. (1) Fees paid by...

Voting Intention and Choices: Are Voters Always Rational and Deliberative?

PubMed Central

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?

PubMed

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...

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...

Absentee Voting among Privately-Employed U.S. Citizens Living Overseas: Findings from the 1978 Post-Election Voting Survey (Form B).

DTIC Science & Technology

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)

Voting at 16: Turnout and the quality of vote choice.

PubMed

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.

[Voting by cognitively impaired persons: legal and ethical issues].

PubMed

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.

Big genomics and clinical data analytics strategies for precision cancer prognosis.

PubMed

Ow, Ghim Siong; Kuznetsov, Vladimir A

2016-11-07

The field of personalized and precise medicine in the era of big data analytics is growing rapidly. Previously, we proposed our model of patient classification termed Prognostic Signature Vector Matching (PSVM) and identified a 37 variable signature comprising 36 let-7b associated prognostic significant mRNAs and the age risk factor that stratified large high-grade serous ovarian cancer patient cohorts into three survival-significant risk groups. Here, we investigated the predictive performance of PSVM via optimization of the prognostic variable weights, which represent the relative importance of one prognostic variable over the others. In addition, we compared several multivariate prognostic models based on PSVM with classical machine learning techniques such as K-nearest-neighbor, support vector machine, random forest, neural networks and logistic regression. Our results revealed that negative log-rank p-values provides more robust weight values as opposed to the use of other quantities such as hazard ratios, fold change, or a combination of those factors. PSVM, together with the classical machine learning classifiers were combined in an ensemble (multi-test) voting system, which collectively provides a more precise and reproducible patient stratification. The use of the multi-test system approach, rather than the search for the ideal classification/prediction method, might help to address limitations of the individual classification algorithm in specific situation.

3D Printed Shelby Cobra

ScienceCinema

Love, Lonnie

2018-06-12

ORNL's newly printed 3D Shelby Cobra was showcased at the 2015 NAIAS in Detroit. This "laboratory on wheels" uses the Shelby Cobra design, celebrating the 50th anniversary of this model and honoring the first vehicle to be voted a national monument. The Shelby was printed at the Department of Energy’s Manufacturing Demonstration Facility at ORNL using the BAAM (Big Area Additive Manufacturing) machine and is intended as a “plug-n-play” laboratory on wheels. The Shelby will allow research and development of integrated components to be tested and enhanced in real time, improving the use of sustainable, digital manufacturing solutions in the automotive industry.

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.

32 CFR 242b.5 - Voting.

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...

32 CFR 242b.5 - Voting.

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...

32 CFR 242b.5 - Voting.

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...

32 CFR 242b.5 - Voting.

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...

32 CFR 242b.5 - Voting.

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...

40 CFR 433.10 - Applicability; description of the metal finishing point source category.

Code of Federal Regulations, 2010 CFR

2010-07-01

... Descaling, Solvent Degreasing, Paint Stripping, Painting, Electrostatic Painting, Electropainting, Vacuum..., Electrochemical Machining, Electron Beam Machining, Laser Beam Machining, Plasma Arc Machining, Ultrasonic...

40 CFR 433.10 - Applicability; description of the metal finishing point source category.

Code of Federal Regulations, 2012 CFR

2012-07-01

... Descaling, Solvent Degreasing, Paint Stripping, Painting, Electrostatic Painting, Electropainting, Vacuum..., Electrochemical Machining, Electron Beam Machining, Laser Beam Machining, Plasma Arc Machining, Ultrasonic...

40 CFR 433.10 - Applicability; description of the metal finishing point source category.

Code of Federal Regulations, 2011 CFR

2011-07-01

... Descaling, Solvent Degreasing, Paint Stripping, Painting, Electrostatic Painting, Electropainting, Vacuum..., Electrochemical Machining, Electron Beam Machining, Laser Beam Machining, Plasma Arc Machining, Ultrasonic...

40 CFR 433.10 - Applicability; description of the metal finishing point source category.

Code of Federal Regulations, 2013 CFR

2013-07-01

... Descaling, Solvent Degreasing, Paint Stripping, Painting, Electrostatic Painting, Electropainting, Vacuum..., Electrochemical Machining, Electron Beam Machining, Laser Beam Machining, Plasma Arc Machining, Ultrasonic...

40 CFR 433.10 - Applicability; description of the metal finishing point source category.

Code of Federal Regulations, 2014 CFR

2014-07-01

... Descaling, Solvent Degreasing, Paint Stripping, Painting, Electrostatic Painting, Electropainting, Vacuum..., Electrochemical Machining, Electron Beam Machining, Laser Beam Machining, Plasma Arc Machining, Ultrasonic...

BagMOOV: A novel ensemble for heart disease prediction bootstrap aggregation with multi-objective optimized voting.

PubMed

Bashir, Saba; Qamar, Usman; Khan, Farhan Hassan

2015-06-01

Conventional clinical decision support systems are based on individual classifiers or simple combination of these classifiers which tend to show moderate performance. This research paper presents a novel classifier ensemble framework based on enhanced bagging approach with multi-objective weighted voting scheme for prediction and analysis of heart disease. The proposed model overcomes the limitations of conventional performance by utilizing an ensemble of five heterogeneous classifiers: Naïve Bayes, linear regression, quadratic discriminant analysis, instance based learner and support vector machines. Five different datasets are used for experimentation, evaluation and validation. The datasets are obtained from publicly available data repositories. Effectiveness of the proposed ensemble is investigated by comparison of results with several classifiers. Prediction results of the proposed ensemble model are assessed by ten fold cross validation and ANOVA statistics. The experimental evaluation shows that the proposed framework deals with all type of attributes and achieved high diagnosis accuracy of 84.16 %, 93.29 % sensitivity, 96.70 % specificity, and 82.15 % f-measure. The f-ratio higher than f-critical and p value less than 0.05 for 95 % confidence interval indicate that the results are extremely statistically significant for most of the datasets.

A general approach for predicting the behavior of the Supreme Court of the United States

PubMed Central

Bommarito, Michael J.; Blackman, Josh

2017-01-01

Building on developments in machine learning and prior work in the science of judicial prediction, we construct a model designed to predict the behavior of the Supreme Court of the United States in a generalized, out-of-sample context. To do so, we develop a time-evolving random forest classifier that leverages unique feature engineering to predict more than 240,000 justice votes and 28,000 cases outcomes over nearly two centuries (1816-2015). Using only data available prior to decision, our model outperforms null (baseline) models at both the justice and case level under both parametric and non-parametric tests. Over nearly two centuries, we achieve 70.2% accuracy at the case outcome level and 71.9% at the justice vote level. More recently, over the past century, we outperform an in-sample optimized null model by nearly 5%. Our performance is consistent with, and improves on the general level of prediction demonstrated by prior work; however, our model is distinctive because it can be applied out-of-sample to the entire past and future of the Court, not a single term. Our results represent an important advance for the science of quantitative legal prediction and portend a range of other potential applications. PMID:28403140

Improving the accuracy of k-nearest neighbor using local mean based and distance weight

NASA Astrophysics Data System (ADS)

Syaliman, K. U.; Nababan, E. B.; Sitompul, O. S.

2018-03-01

In k-nearest neighbor (kNN), the determination of classes for new data is normally performed by a simple majority vote system, which may ignore the similarities among data, as well as allowing the occurrence of a double majority class that can lead to misclassification. In this research, we propose an approach to resolve the majority vote issues by calculating the distance weight using a combination of local mean based k-nearest neighbor (LMKNN) and distance weight k-nearest neighbor (DWKNN). The accuracy of results is compared to the accuracy acquired from the original k-NN method using several datasets from the UCI Machine Learning repository, Kaggle and Keel, such as ionosphare, iris, voice genre, lower back pain, and thyroid. In addition, the proposed method is also tested using real data from a public senior high school in city of Tualang, Indonesia. Results shows that the combination of LMKNN and DWKNN was able to increase the classification accuracy of kNN, whereby the average accuracy on test data is 2.45% with the highest increase in accuracy of 3.71% occurring on the lower back pain symptoms dataset. For the real data, the increase in accuracy is obtained as high as 5.16%.

Distributed tactical reasoning framework for intelligent vehicles

NASA Astrophysics Data System (ADS)

Sukthankar, Rahul; Pomerleau, Dean A.; Thorpe, Chuck E.

1998-01-01

In independent vehicle concepts for the Automated Highway System (AHS), the ability to make competent tactical-level decisions in real-time is crucial. Traditional approaches to tactical reasoning typically involve the implementation of large monolithic systems, such as decision trees or finite state machines. However, as the complexity of the environment grows, the unforeseen interactions between components can make modifications to such systems very challenging. For example, changing an overtaking behavior may require several, non-local changes to car-following, lane changing and gap acceptance rules. This paper presents a distributed solution to the problem. PolySAPIENT consists of a collection of autonomous modules, each specializing in a particular aspect of the driving task - classified by traffic entities rather than tactical behavior. Thus, the influence of the vehicle ahead on the available actions is managed by one reasoning object, while the implications of an approaching exit are managed by another. The independent recommendations form these reasoning objects are expressed in the form of votes and vetos over a 'tactical action space', and are resolved by a voting arbiter. This local independence enables PolySAPIENT reasoning objects to be developed independently, using a heterogenous implementation. PolySAPIENT vehicles are implemented in the SHIVA tactical highway simulator, whose vehicles are based on the Carnegie Mellon Navlab robots.

Do Online Voting Patterns Reflect Evolved Features of Human Cognition? An Exploratory Empirical Investigation.

PubMed

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.

CHARACTERIZATION OF Pro-Beam LOW VOLTAGE ELECTRON BEAM WELDING MACHINE

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

Burgardt, Paul; Pierce, Stanley W.

The purpose of this paper is to present and discuss data related to the performance of a newly acquired low voltage electron beam welding machine. The machine was made by Pro-Beam AG &Co. KGaA of Germany. This machine was recently installed at LANL in building SM -39; a companion machine was installed in the production facility. The PB machine is substantially different than the EBW machines typically used at LANL and therefore, it is important to understand its characteristics as well as possible. Our basic purpose in this paper is to present basic machine performance data and to compare thosemore » with similar results from the existing EBW machines. It is hoped that this data will provide a historical record of this machine’s characteristics as well as possibly being helpful for transferring welding processes from the old EBW machines to the PB machine or comparable machines that may be purchased in the future.« less

Assessment of DoD Voting Assistance Programs for Calendar Year 2015

DTIC Science & Technology

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

Marijuana policy opinions in Washington state since legalization: Would voters vote the same way?

PubMed

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.

The impact of voting on tax payments

PubMed Central

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

The Uniformed and Overseas Citizens Absentee Voting Act: Background and Issues

DTIC Science & Technology

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

Prediction of protein-protein interactions from amino acid sequences with ensemble extreme learning machines and principal component analysis.

PubMed

You, Zhu-Hong; Lei, Ying-Ke; Zhu, Lin; Xia, Junfeng; Wang, Bing

2013-01-01

Protein-protein interactions (PPIs) play crucial roles in the execution of various cellular processes and form the basis of biological mechanisms. Although large amount of PPIs data for different species has been generated by high-throughput experimental techniques, current PPI pairs obtained with experimental methods cover only a fraction of the complete PPI networks, and further, the experimental methods for identifying PPIs are both time-consuming and expensive. Hence, it is urgent and challenging to develop automated computational methods to efficiently and accurately predict PPIs. We present here a novel hierarchical PCA-EELM (principal component analysis-ensemble extreme learning machine) model to predict protein-protein interactions only using the information of protein sequences. In the proposed method, 11188 protein pairs retrieved from the DIP database were encoded into feature vectors by using four kinds of protein sequences information. Focusing on dimension reduction, an effective feature extraction method PCA was then employed to construct the most discriminative new feature set. Finally, multiple extreme learning machines were trained and then aggregated into a consensus classifier by majority voting. The ensembling of extreme learning machine removes the dependence of results on initial random weights and improves the prediction performance. When performed on the PPI data of Saccharomyces cerevisiae, the proposed method achieved 87.00% prediction accuracy with 86.15% sensitivity at the precision of 87.59%. Extensive experiments are performed to compare our method with state-of-the-art techniques Support Vector Machine (SVM). Experimental results demonstrate that proposed PCA-EELM outperforms the SVM method by 5-fold cross-validation. Besides, PCA-EELM performs faster than PCA-SVM based method. Consequently, the proposed approach can be considered as a new promising and powerful tools for predicting PPI with excellent performance and less time.

Voting by older adults with cognitive impairments.

PubMed

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?

Tensor voting for image correction by global and local intensity alignment.

PubMed

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.

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...

61. VIEW OF WAREHOUSE, MACHINE SHOP, AND HOISTING PLANT, WITH ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

61. VIEW OF WAREHOUSE, MACHINE SHOP, AND HOISTING PLANT, WITH FOREBAY ON RIGHT IN FOREGROUND, Prints No. 158 and 159, August 1903 - Electron Hydroelectric Project, Along Puyallup River, Electron, Pierce County, WA

Perceived health from biological motion predicts voting behaviour.

PubMed

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.

Moral Foundations and Voting Intention in Italy

PubMed Central

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...

78 FR 78345 - Proposed Information Collection-2014 Election Administration and Voting Survey; Comment Request

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...

The Relationship between Voting Knowledge and Voting Attitudes of Selected Ninth and Tenth Grade Students.

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...

12 CFR 708b.2 - Definitions.

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...

12 CFR 708b.2 - Definitions.

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...

12 CFR 708b.2 - Definitions.

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...

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.

Electronic vending machines for dispensing rapid HIV self-testing kits: a case study.

PubMed

Young, Sean D; Klausner, Jeffrey; Fynn, Risa; Bolan, Robert

2014-02-01

This short report evaluates the feasibility of using electronic vending machines for dispensing oral, fluid, rapid HIV self-testing kits in Los Angeles County. Feasibility criteria that needed to be addressed were defined as: (1) ability to find a manufacturer who would allow dispensing of HIV testing kits and could fit them to the dimensions of a vending machine, (2) ability to identify and address potential initial obstacles, trade-offs in choosing a machine location, and (3) ability to gain community approval for implementing this approach in a community setting. To address these issues, we contracted a vending machine company who could supply a customized, Internet-enabled machine that could dispense HIV kits and partnered with a local health center available to host the machine onsite and provide counseling to participants, if needed. Vending machines appear to be feasible technologies that can be used to distribute HIV testing kits.

Electronic vending machines for dispensing rapid HIV self-testing kits: A case study

PubMed Central

Young, Sean D.; Klausner, Jeffrey; Fynn, Risa; Bolan, Robert

2014-01-01

This short report evaluates the feasibility of using electronic vending machines for dispensing oral, fluid, rapid HIV-self testing kits in Los Angeles County. Feasibility criteria that needed to be addressed were defined as: 1) ability to find a manufacturer who would allow dispensing of HIV testing kits and could fit them to the dimensions of a vending machine, 2) ability to identify and address potential initial obstacles, trade-offs in choosing a machine location, and 3) ability to gain community approval for implementing this approach in a community setting. To address these issues, we contracted a vending machine company who could supply a customized, Internet-enabled machine that could dispense HIV kits and partnered with a local health center available to host the machine onsite and provide counseling to participants, if needed. Vending machines appear to be feasible technologies that can be used to distribute HIV testing kits. PMID:23777528

Power Electronics and Electric Machines Facilities | Transportation

Science.gov Websites

current processes. Photo by Dennis Schroeder, NREL A photo of a researcher in safety glasses using a large focus in NREL's power electronics and electric machines labs. Photo by Dennis Schroeder, NREL Heat

The Witness-Voting System

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.

Retrospective voting and party support at elections: credit and blame for government and opposition

PubMed Central

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?

PubMed Central

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

The Village Election

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…

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...

16 CFR 802.4 - Acquisitions of voting securities of issuers or non-corporate interests in unincorporated...

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...

16 CFR 802.4 - Acquisitions of voting securities of issuers or non-corporate interests in unincorporated...

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...

16 CFR 802.4 - Acquisitions of voting securities of issuers or non-corporate interests in unincorporated...

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...

28 CFR 51.2 - Definitions.

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...

28 CFR 51.1 - Purpose.

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...

28 CFR 51.1 - Purpose.

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)

28 CFR 51.2 - Definitions.

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...

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.

Bribery or just desserts? Evidence on the influence of Congressional reproductive policy voting patterns on PAC contributions from exogenous variation in the sex mix of legislator offspring.

PubMed

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.

Improving human activity recognition and its application in early stroke diagnosis.

PubMed

Villar, José R; González, Silvia; Sedano, Javier; Chira, Camelia; Trejo-Gabriel-Galan, Jose M

2015-06-01

The development of efficient stroke-detection methods is of significant importance in today's society due to the effects and impact of stroke on health and economy worldwide. This study focuses on Human Activity Recognition (HAR), which is a key component in developing an early stroke-diagnosis tool. An overview of the proposed global approach able to discriminate normal resting from stroke-related paralysis is detailed. The main contributions include an extension of the Genetic Fuzzy Finite State Machine (GFFSM) method and a new hybrid feature selection (FS) algorithm involving Principal Component Analysis (PCA) and a voting scheme putting the cross-validation results together. Experimental results show that the proposed approach is a well-performing HAR tool that can be successfully embedded in devices.

a New Object-Based Framework to Detect Shodows in High-Resolution Satellite Imagery Over Urban Areas

NASA Astrophysics Data System (ADS)

Tatar, N.; Saadatseresht, M.; Arefi, H.; Hadavand, A.

2015-12-01

In this paper a new object-based framework to detect shadow areas in high resolution satellite images is proposed. To produce shadow map in pixel level state of the art supervised machine learning algorithms are employed. Automatic ground truth generation based on Otsu thresholding on shadow and non-shadow indices is used to train the classifiers. It is followed by segmenting the image scene and create image objects. To detect shadow objects, a majority voting on pixel-based shadow detection result is designed. GeoEye-1 multi-spectral image over an urban area in Qom city of Iran is used in the experiments. Results shows the superiority of our proposed method over traditional pixel-based, visually and quantitatively.

Proceedings of the International Conference (7th) on Machine Learning Held in Austin, Texas on 21-23 June 1990

DTIC Science & Technology

1990-06-23

experiment was carried out for I(a2 I C1) = I(a2 C 2 ) = 1(a2 0 C3) = 0.33 both the databases . The number of sub-descriptions 1(a3 I C1) = I(a3 C 2 ) = l...for the second database is + 1(a2 I C2 )) + f(ep2 I C2) * as shown in table 4. The nurber of sub-descriptions (I(al I C2) + I(a2 I C2 )) is once...tends to degrade the performance [Chan 75]. path of C3]. Application 2 : The database is the 1984 Congres- sional voting pattern records consisting of

The relationship between electronic gaming machine accessibility and police-recorded domestic violence: A spatio-temporal analysis of 654 postcodes in Victoria, Australia, 2005-2014.

PubMed

Markham, Francis; Doran, Bruce; Young, Martin

2016-08-01

An emerging body of research has documented an association between problem gambling and domestic violence in a range of study populations and locations. Yet little research has analysed this relationship at ecological scales. This study investigates the proposition that gambling accessibility and the incidence of domestic violence might be linked. The association between police-recorded domestic violence and electronic gaming machine accessibility is described at the postcode level. Police recorded family incidents per 10,000 and domestic-violence related physical assault offenses per 10,000 were used as outcome variables. Electronic gaming machine accessibility was measured as electronic gaming machines per 10,000 and gambling venues per 100,000. Bayesian spatio-temporal mixed-effects models were used to estimate the associations between gambling accessibility and domestic violence, using annual postcode-level data in Victoria, Australia between 2005 and 2014, adjusting for a range of covariates. Significant associations of policy-relevant magnitudes were found between all domestic violence and EGM accessibility variables. Postcodes with no electronic gaming machines were associated with 20% (95% credibility interval [C.I.]: 15%, 24%) fewer family incidents per 10,000 and 30% (95% C.I.: 24%, 35%) fewer domestic-violence assaults per 10,000, when compared with postcodes with 75 electronic gaming machine per 10,000. The causal relations underlying these associations are unclear. Quasi-experimental research is required to determine if reducing gambling accessibility is likely to reduce the incidence of domestic violence. Copyright © 2016 Elsevier Ltd. All rights reserved.

Predicting diabetes mellitus using SMOTE and ensemble machine learning approach: The Henry Ford ExercIse Testing (FIT) project.

PubMed

Alghamdi, Manal; Al-Mallah, Mouaz; Keteyian, Steven; Brawner, Clinton; Ehrman, Jonathan; Sakr, Sherif

2017-01-01

Machine learning is becoming a popular and important approach in the field of medical research. In this study, we investigate the relative performance of various machine learning methods such as Decision Tree, Naïve Bayes, Logistic Regression, Logistic Model Tree and Random Forests for predicting incident diabetes using medical records of cardiorespiratory fitness. In addition, we apply different techniques to uncover potential predictors of diabetes. This FIT project study used data of 32,555 patients who are free of any known coronary artery disease or heart failure who underwent clinician-referred exercise treadmill stress testing at Henry Ford Health Systems between 1991 and 2009 and had a complete 5-year follow-up. At the completion of the fifth year, 5,099 of those patients have developed diabetes. The dataset contained 62 attributes classified into four categories: demographic characteristics, disease history, medication use history, and stress test vital signs. We developed an Ensembling-based predictive model using 13 attributes that were selected based on their clinical importance, Multiple Linear Regression, and Information Gain Ranking methods. The negative effect of the imbalance class of the constructed model was handled by Synthetic Minority Oversampling Technique (SMOTE). The overall performance of the predictive model classifier was improved by the Ensemble machine learning approach using the Vote method with three Decision Trees (Naïve Bayes Tree, Random Forest, and Logistic Model Tree) and achieved high accuracy of prediction (AUC = 0.92). The study shows the potential of ensembling and SMOTE approaches for predicting incident diabetes using cardiorespiratory fitness data.

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…

77 FR 54905 - Request for Substantive Comments on the EAC's Proposed Requirements for Version 1.1 of the...

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

DOEpatents

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.

Joining Young, Voting Young: The Effects of Youth Voluntary Associations on Early Adult Voting. CIRCLE Working Paper #73

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…

Elections: DOD Needs More Comprehensive Planning to Address Military and Overseas Absentee Voting Challenges

DTIC Science & Technology

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...

16 CFR 801.15 - Aggregation of voting securities, non-corporate interests and assets the acquisition of which was...

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...

16 CFR 801.15 - Aggregation of voting securities, non-corporate interests and assets the acquisition of which was...

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...

16 CFR 801.15 - Aggregation of voting securities, non-corporate interests and assets the acquisition of which was...

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...

76 FR 54110 - Attorney General's Guidelines on Implementation of the Provisions of the Voting Rights Act...

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...

76 FR 56840 - Self-Regulatory Organizations; BATS Exchange, Inc.; Notice of Filing of Proposed Rule Change To...

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...

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...

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...

Decision Analysis for Multicandidate Voting Systems. Applications of Elementary Decision Analysis to Political Science. [and] An Application of Voting Theory to Congress. Applications of Decision Theory and Game Theory to American Politics. Modules and Monographs in Undergraduate Mathematics and Its Applications Project. UMAP Units 384 and 386.

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…

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

DOEpatents

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...

28 CFR Appendix to Part 51 - Jurisdictions Covered Under Section 4(b) of the Voting Rights Act, as Amended

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...

28 CFR Appendix to Part 51 - Jurisdictions Covered Under Section 4(b) of the Voting Rights Act, as Amended

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...

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.

Diverging Life Expectancies and Voting Patterns in the 2016 US Presidential Election.

PubMed

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.

LDA boost classification: boosting by topics

NASA Astrophysics Data System (ADS)

Lei, La; Qiao, Guo; Qimin, Cao; Qitao, Li

2012-12-01

AdaBoost is an efficacious classification algorithm especially in text categorization (TC) tasks. The methodology of setting up a classifier committee and voting on the documents for classification can achieve high categorization precision. However, traditional Vector Space Model can easily lead to the curse of dimensionality and feature sparsity problems; so it affects classification performance seriously. This article proposed a novel classification algorithm called LDABoost based on boosting ideology which uses Latent Dirichlet Allocation (LDA) to modeling the feature space. Instead of using words or phrase, LDABoost use latent topics as the features. In this way, the feature dimension is significantly reduced. Improved Naïve Bayes (NB) is designed as the weaker classifier which keeps the efficiency advantage of classic NB algorithm and has higher precision. Moreover, a two-stage iterative weighted method called Cute Integration in this article is proposed for improving the accuracy by integrating weak classifiers into strong classifier in a more rational way. Mutual Information is used as metrics of weights allocation. The voting information and the categorization decision made by basis classifiers are fully utilized for generating the strong classifier. Experimental results reveals LDABoost making categorization in a low-dimensional space, it has higher accuracy than traditional AdaBoost algorithms and many other classic classification algorithms. Moreover, its runtime consumption is lower than different versions of AdaBoost, TC algorithms based on support vector machine and Neural Networks.

Parsimonious data: How a single Facebook like predicts voting behavior in multiparty systems.

PubMed

Kristensen, Jakob Bæk; Albrechtsen, Thomas; Dahl-Nielsen, Emil; Jensen, Michael; Skovrind, Magnus; Bornakke, Tobias

2017-01-01

This study shows how liking politicians' public Facebook posts can be used as an accurate measure for predicting present-day voter intention in a multiparty system. We highlight that a few, but selective digital traces produce prediction accuracies that are on par or even greater than most current approaches based upon bigger and broader datasets. Combining the online and offline, we connect a subsample of surveyed respondents to their public Facebook activity and apply machine learning classifiers to explore the link between their political liking behaviour and actual voting intention. Through this work, we show that even a single selective Facebook like can reveal as much about political voter intention as hundreds of heterogeneous likes. Further, by including the entire political like history of the respondents, our model reaches prediction accuracies above previous multiparty studies (60-70%). The main contribution of this paper is to show how public like-activity on Facebook allows political profiling of individual users in a multiparty system with accuracies above previous studies. Beside increased accuracies, the paper shows how such parsimonious measures allows us to generalize our findings to the entire population of a country and even across national borders, to other political multiparty systems. The approach in this study relies on data that are publicly available, and the simple setup we propose can with some limitations, be generalized to millions of users in other multiparty systems.

THE NATURE OF ENERGY TRANSFER TO ELECTRODES IN A PULSE DISCHARGE WITH SMALL GAPS,

DTIC Science & Technology

SPARK MACHINING, ELECTRIC DISCHARGES), (*ELECTROMAGNETIC PULSES, SPARK MACHINING), ELECTROEROSIVE MACHINING, ENERGY, ELECTRON IRRADIATION, ION BOMBARDMENT, THERMAL CONDUCTIVITY, FILMS, KINETIC ENERGY, ZONE MELTING, USSR

Walking the walk? Experiments on the effect of pledging to vote on youth turnout

PubMed Central

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

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.

PubMed

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.

14 CFR 47.8 - Voting trusts.

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...

14 CFR 47.8 - Voting trusts.

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...

14 CFR 47.8 - Voting trusts.

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...

14 CFR 47.8 - Voting trusts.

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…

28 CFR Appendix to Part 55 - Jurisdictions Covered Under Sections 4(f)(4) and 203(c) of the Voting Rights Act of 1965, as Amended

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

DTIC Science & Technology

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

County community health associations of net voting shift in the 2016 U.S. presidential election

PubMed Central

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.

PubMed

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

PubMed Central

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.

PubMed

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.

Do doctors vote?

PubMed

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.

Potential follow-up increases private contributions to public goods.

PubMed

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.

Empirical study on voting power in participatory forest planning.

PubMed

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.

Blood Versus Land: The Comparative Foundations for Citizenship and Voting Rights in Germany and Sweden

DTIC Science & Technology

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

DTIC Science & Technology

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

28 CFR Appendix to Part 55 - Jurisdictions Covered Under Sections 4(f)(4) and 203(c) of the Voting Rights Act of 1965, as Amended

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...

"The Goddamndest, Toughest Voting Rights Bill": Critical Race Theory and the Voting Rights Act of 1965

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

DTIC Science & Technology

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

DTIC Science & Technology

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

The Uniformed and Overseas Citizens Absentee Voting Act: Background and Issues

DTIC Science & Technology

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

Diverging Life Expectancies and Voting Patterns in the 2016 US Presidential Election

PubMed Central

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

Applying voting theory in natural resource management: a case of multiple-criteria group decision support.

PubMed

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.

Amp: A modular approach to machine learning in atomistic simulations

NASA Astrophysics Data System (ADS)

Khorshidi, Alireza; Peterson, Andrew A.

2016-10-01

Electronic structure calculations, such as those employing Kohn-Sham density functional theory or ab initio wavefunction theories, have allowed for atomistic-level understandings of a wide variety of phenomena and properties of matter at small scales. However, the computational cost of electronic structure methods drastically increases with length and time scales, which makes these methods difficult for long time-scale molecular dynamics simulations or large-sized systems. Machine-learning techniques can provide accurate potentials that can match the quality of electronic structure calculations, provided sufficient training data. These potentials can then be used to rapidly simulate large and long time-scale phenomena at similar quality to the parent electronic structure approach. Machine-learning potentials usually take a bias-free mathematical form and can be readily developed for a wide variety of systems. Electronic structure calculations have favorable properties-namely that they are noiseless and targeted training data can be produced on-demand-that make them particularly well-suited for machine learning. This paper discusses our modular approach to atomistic machine learning through the development of the open-source Atomistic Machine-learning Package (Amp), which allows for representations of both the total and atom-centered potential energy surface, in both periodic and non-periodic systems. Potentials developed through the atom-centered approach are simultaneously applicable for systems with various sizes. Interpolation can be enhanced by introducing custom descriptors of the local environment. We demonstrate this in the current work for Gaussian-type, bispectrum, and Zernike-type descriptors. Amp has an intuitive and modular structure with an interface through the python scripting language yet has parallelizable fortran components for demanding tasks; it is designed to integrate closely with the widely used Atomic Simulation Environment (ASE), which makes it compatible with a wide variety of commercial and open-source electronic structure codes. We finally demonstrate that the neural network model inside Amp can accurately interpolate electronic structure energies as well as forces of thousands of multi-species atomic systems.

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

Science.gov Websites

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...

Dangers of Military Entanglement in Partisan Politics

DTIC Science & Technology

2009-03-24

members’ absentee ballots by 10 days.1 The reason was obvious to most Americans. The Republican candidate expected a majority of the military members to...to be focused on the military absentee ballots. According to an Army Times poll, approximately 68 percent of all the military supported his campaign...no electronic communication, large voting by absentee balloting was not feasible. World War II brought a change to the situation. With a large number

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

PubMed Central

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

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

DTIC Science & Technology

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

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.

Under threat by popular vote: German-speaking immigrants’ affect and cognitions following the Swiss vote against mass immigration

PubMed Central

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.

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).

Under threat by popular vote: German-speaking immigrants' affect and cognitions following the Swiss vote against mass immigration.

PubMed

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.

Power Electronics and Electric Machines Publications | Transportation

Science.gov Websites

electric machines. For more information about the following publications, contact Sreekant Narumanchi. A , NREL Software Spray System Evaluation (Software 1.1 MB) Papers 2017 Electric Motor Thermal Management Source: Douglas DeVoto. 2017. 14 pp. NREL/MP-5400-67117. Power Electronics Thermal Management Research

Improving Classification Performance through an Advanced Ensemble Based Heterogeneous Extreme Learning Machines.

PubMed

Abuassba, Adnan O M; Zhang, Dezheng; Luo, Xiong; Shaheryar, Ahmad; Ali, Hazrat

2017-01-01

Extreme Learning Machine (ELM) is a fast-learning algorithm for a single-hidden layer feedforward neural network (SLFN). It often has good generalization performance. However, there are chances that it might overfit the training data due to having more hidden nodes than needed. To address the generalization performance, we use a heterogeneous ensemble approach. We propose an Advanced ELM Ensemble (AELME) for classification, which includes Regularized-ELM, L 2 -norm-optimized ELM (ELML2), and Kernel-ELM. The ensemble is constructed by training a randomly chosen ELM classifier on a subset of training data selected through random resampling. The proposed AELM-Ensemble is evolved by employing an objective function of increasing diversity and accuracy among the final ensemble. Finally, the class label of unseen data is predicted using majority vote approach. Splitting the training data into subsets and incorporation of heterogeneous ELM classifiers result in higher prediction accuracy, better generalization, and a lower number of base classifiers, as compared to other models (Adaboost, Bagging, Dynamic ELM ensemble, data splitting ELM ensemble, and ELM ensemble). The validity of AELME is confirmed through classification on several real-world benchmark datasets.

Improving Classification Performance through an Advanced Ensemble Based Heterogeneous Extreme Learning Machines

PubMed Central

Abuassba, Adnan O. M.; Ali, Hazrat

2017-01-01

Extreme Learning Machine (ELM) is a fast-learning algorithm for a single-hidden layer feedforward neural network (SLFN). It often has good generalization performance. However, there are chances that it might overfit the training data due to having more hidden nodes than needed. To address the generalization performance, we use a heterogeneous ensemble approach. We propose an Advanced ELM Ensemble (AELME) for classification, which includes Regularized-ELM, L2-norm-optimized ELM (ELML2), and Kernel-ELM. The ensemble is constructed by training a randomly chosen ELM classifier on a subset of training data selected through random resampling. The proposed AELM-Ensemble is evolved by employing an objective function of increasing diversity and accuracy among the final ensemble. Finally, the class label of unseen data is predicted using majority vote approach. Splitting the training data into subsets and incorporation of heterogeneous ELM classifiers result in higher prediction accuracy, better generalization, and a lower number of base classifiers, as compared to other models (Adaboost, Bagging, Dynamic ELM ensemble, data splitting ELM ensemble, and ELM ensemble). The validity of AELME is confirmed through classification on several real-world benchmark datasets. PMID:28546808

[MicroRNA Target Prediction Based on Support Vector Machine Ensemble Classification Algorithm of Under-sampling Technique].

PubMed

Chen, Zhiru; Hong, Wenxue

2016-02-01

Considering the low accuracy of prediction in the positive samples and poor overall classification effects caused by unbalanced sample data of MicroRNA (miRNA) target, we proposes a support vector machine (SVM)-integration of under-sampling and weight (IUSM) algorithm in this paper, an under-sampling based on the ensemble learning algorithm. The algorithm adopts SVM as learning algorithm and AdaBoost as integration framework, and embeds clustering-based under-sampling into the iterative process, aiming at reducing the degree of unbalanced distribution of positive and negative samples. Meanwhile, in the process of adaptive weight adjustment of the samples, the SVM-IUSM algorithm eliminates the abnormal ones in negative samples with robust sample weights smoothing mechanism so as to avoid over-learning. Finally, the prediction of miRNA target integrated classifier is achieved with the combination of multiple weak classifiers through the voting mechanism. The experiment revealed that the SVM-IUSW, compared with other algorithms on unbalanced dataset collection, could not only improve the accuracy of positive targets and the overall effect of classification, but also enhance the generalization ability of miRNA target classifier.

Prediction of cancer proteins by integrating protein interaction, domain frequency, and domain interaction data using machine learning algorithms.

PubMed

Huang, Chien-Hung; Peng, Huai-Shun; Ng, Ka-Lok

2015-01-01

Many proteins are known to be associated with cancer diseases. It is quite often that their precise functional role in disease pathogenesis remains unclear. A strategy to gain a better understanding of the function of these proteins is to make use of a combination of different aspects of proteomics data types. In this study, we extended Aragues's method by employing the protein-protein interaction (PPI) data, domain-domain interaction (DDI) data, weighted domain frequency score (DFS), and cancer linker degree (CLD) data to predict cancer proteins. Performances were benchmarked based on three kinds of experiments as follows: (I) using individual algorithm, (II) combining algorithms, and (III) combining the same classification types of algorithms. When compared with Aragues's method, our proposed methods, that is, machine learning algorithm and voting with the majority, are significantly superior in all seven performance measures. We demonstrated the accuracy of the proposed method on two independent datasets. The best algorithm can achieve a hit ratio of 89.4% and 72.8% for lung cancer dataset and lung cancer microarray study, respectively. It is anticipated that the current research could help understand disease mechanisms and diagnosis.

Protein Sequence Classification with Improved Extreme Learning Machine Algorithms

PubMed Central

2014-01-01

Precisely classifying a protein sequence from a large biological protein sequences database plays an important role for developing competitive pharmacological products. Comparing the unseen sequence with all the identified protein sequences and returning the category index with the highest similarity scored protein, conventional methods are usually time-consuming. Therefore, it is urgent and necessary to build an efficient protein sequence classification system. In this paper, we study the performance of protein sequence classification using SLFNs. The recent efficient extreme learning machine (ELM) and its invariants are utilized as the training algorithms. The optimal pruned ELM is first employed for protein sequence classification in this paper. To further enhance the performance, the ensemble based SLFNs structure is constructed where multiple SLFNs with the same number of hidden nodes and the same activation function are used as ensembles. For each ensemble, the same training algorithm is adopted. The final category index is derived using the majority voting method. Two approaches, namely, the basic ELM and the OP-ELM, are adopted for the ensemble based SLFNs. The performance is analyzed and compared with several existing methods using datasets obtained from the Protein Information Resource center. The experimental results show the priority of the proposed algorithms. PMID:24795876

Prediction of Cancer Proteins by Integrating Protein Interaction, Domain Frequency, and Domain Interaction Data Using Machine Learning Algorithms

PubMed Central

2015-01-01

Many proteins are known to be associated with cancer diseases. It is quite often that their precise functional role in disease pathogenesis remains unclear. A strategy to gain a better understanding of the function of these proteins is to make use of a combination of different aspects of proteomics data types. In this study, we extended Aragues's method by employing the protein-protein interaction (PPI) data, domain-domain interaction (DDI) data, weighted domain frequency score (DFS), and cancer linker degree (CLD) data to predict cancer proteins. Performances were benchmarked based on three kinds of experiments as follows: (I) using individual algorithm, (II) combining algorithms, and (III) combining the same classification types of algorithms. When compared with Aragues's method, our proposed methods, that is, machine learning algorithm and voting with the majority, are significantly superior in all seven performance measures. We demonstrated the accuracy of the proposed method on two independent datasets. The best algorithm can achieve a hit ratio of 89.4% and 72.8% for lung cancer dataset and lung cancer microarray study, respectively. It is anticipated that the current research could help understand disease mechanisms and diagnosis. PMID:25866773

Contextual priming: Where people vote affects how they vote

PubMed Central

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.

2008 Post-Election Voting Survey of Department of State Voting Assistance Officers: Statistical Methodology Report

DTIC Science & Technology

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

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.

7 CFR 1212.102 - Voting.

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...

Do Doctors Vote?

PubMed Central

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.

PubMed

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.

PubMed

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.

Probabilistic Polling And Voting In The 2008 Presidential Election

PubMed Central

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

A Flash X-Ray Facility for the Naval Postgraduate School

DTIC Science & Technology

1985-06-01

ionizing radiation, *• NPS has had active programs with a Van de Graaff generator, a reactor, radioactive sources, X-ray machines and a linear electron ...interaction of radiation with matter and with coherent radiation. Currently the most active program is at the linear electron accelerator which over...twenty years has produced some 75 theses. The flash X-ray machine was obtained to expan-i and complement the capabilities of the linear electron

Guidelines for locoregional therapy in primary breast cancer in developing countries: The results of an expert panel at the 8th Annual Women's Cancer Initiative – Tata Memorial Hospital (WCI-TMH) Conference

PubMed Central

Munshi, Anusheel; Gupta, Sudeep; Anderson, Benjamin; Yarnold, John; Parmar, Vani; Jalali, Rakesh; Sharma, Suresh Chander; Desai, Sangeeta; Thakur, Meenakshi; Baijal, Gunjan; Sarin, Rajiv; Mittra, Indraneel; Ghosh, Jaya; Badwe, Rajendra

2012-01-01

Background: Limited guidelines exist for breast cancer management in developing countries. In this context, the Women's Cancer Initiative - Tata Memorial Hospital (WCI-TMH) organised its 8th Annual Conference to update guidelines in breast cancer. Materials and Methods: Appropriately formulated guideline questions on each topic and subtopic in the surgical, radiation and systemic management of primary breast cancer were developed by the scientific committee and shared with the guest faculty of the Conference. Majority of the questions had multiple choice answers. The opinion of the audience, comprising academic and community oncologists, was electronically cumulated, followed by focussed presentations by eminent national and international experts on each topic. The guidelines were finally developed through an expert panel that voted on each guideline question after all talks had been delivered and audience opinion elicited. Separate panels were constituted for locoregional and systemic therapy in primary breast cancer. Results: Based on the voting results of the expert panel, guidelines for locoregional therapy of breast cancer have been formulated. Voting patterns for each question are reported. Conclusions: The updated guidelines on locoregional management of primary breast cancer in the context of developing countries are presented in this article. These recommendations have been designed to allow centers in the developing world to improve the quality of care for breast cancer patients. PMID:22988354

An Exploratory Study of Problem Gambling on Casino versus Non-Casino Electronic Gaming Machines

ERIC Educational Resources Information Center

Clarke, Dave; Pulford, Justin; Bellringer, Maria; Abbott, Max; Hodgins, David C.

2012-01-01

Electronic gaming machines (EGMs) have been frequently associated with problem gambling. Little research has compared the relative contribution of casino EGMs versus non-casino EGMs on current problem gambling, after controlling for demographic factors and gambling behaviour. Our exploratory study obtained data from questionnaires administered to…

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)

7 CFR 1206.102 - Voting.

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 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...

Prediction of protein-protein interactions from amino acid sequences with ensemble extreme learning machines and principal component analysis

PubMed Central

2013-01-01

Background Protein-protein interactions (PPIs) play crucial roles in the execution of various cellular processes and form the basis of biological mechanisms. Although large amount of PPIs data for different species has been generated by high-throughput experimental techniques, current PPI pairs obtained with experimental methods cover only a fraction of the complete PPI networks, and further, the experimental methods for identifying PPIs are both time-consuming and expensive. Hence, it is urgent and challenging to develop automated computational methods to efficiently and accurately predict PPIs. Results We present here a novel hierarchical PCA-EELM (principal component analysis-ensemble extreme learning machine) model to predict protein-protein interactions only using the information of protein sequences. In the proposed method, 11188 protein pairs retrieved from the DIP database were encoded into feature vectors by using four kinds of protein sequences information. Focusing on dimension reduction, an effective feature extraction method PCA was then employed to construct the most discriminative new feature set. Finally, multiple extreme learning machines were trained and then aggregated into a consensus classifier by majority voting. The ensembling of extreme learning machine removes the dependence of results on initial random weights and improves the prediction performance. Conclusions When performed on the PPI data of Saccharomyces cerevisiae, the proposed method achieved 87.00% prediction accuracy with 86.15% sensitivity at the precision of 87.59%. Extensive experiments are performed to compare our method with state-of-the-art techniques Support Vector Machine (SVM). Experimental results demonstrate that proposed PCA-EELM outperforms the SVM method by 5-fold cross-validation. Besides, PCA-EELM performs faster than PCA-SVM based method. Consequently, the proposed approach can be considered as a new promising and powerful tools for predicting PPI with excellent performance and less time. PMID:23815620

Voting pattern of mental patients in a community state hospital.

PubMed

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.

The Uniformed and Overseas Citizens Absentee Voting Act: Background and Issues for the 107th Congress

DTIC Science & Technology

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

A deep learning-based multi-model ensemble method for cancer prediction.

PubMed

Xiao, Yawen; Wu, Jun; Lin, Zongli; Zhao, Xiaodong

2018-01-01

Cancer is a complex worldwide health problem associated with high mortality. With the rapid development of the high-throughput sequencing technology and the application of various machine learning methods that have emerged in recent years, progress in cancer prediction has been increasingly made based on gene expression, providing insight into effective and accurate treatment decision making. Thus, developing machine learning methods, which can successfully distinguish cancer patients from healthy persons, is of great current interest. However, among the classification methods applied to cancer prediction so far, no one method outperforms all the others. In this paper, we demonstrate a new strategy, which applies deep learning to an ensemble approach that incorporates multiple different machine learning models. We supply informative gene data selected by differential gene expression analysis to five different classification models. Then, a deep learning method is employed to ensemble the outputs of the five classifiers. The proposed deep learning-based multi-model ensemble method was tested on three public RNA-seq data sets of three kinds of cancers, Lung Adenocarcinoma, Stomach Adenocarcinoma and Breast Invasive Carcinoma. The test results indicate that it increases the prediction accuracy of cancer for all the tested RNA-seq data sets as compared to using a single classifier or the majority voting algorithm. By taking full advantage of different classifiers, the proposed deep learning-based multi-model ensemble method is shown to be accurate and effective for cancer prediction. Copyright © 2017 Elsevier B.V. All rights reserved.

Force Sensor Based Tool Condition Monitoring Using a Heterogeneous Ensemble Learning Model

PubMed Central

Wang, Guofeng; Yang, Yinwei; Li, Zhimeng

2014-01-01

Tool condition monitoring (TCM) plays an important role in improving machining efficiency and guaranteeing workpiece quality. In order to realize reliable recognition of the tool condition, a robust classifier needs to be constructed to depict the relationship between tool wear states and sensory information. However, because of the complexity of the machining process and the uncertainty of the tool wear evolution, it is hard for a single classifier to fit all the collected samples without sacrificing generalization ability. In this paper, heterogeneous ensemble learning is proposed to realize tool condition monitoring in which the support vector machine (SVM), hidden Markov model (HMM) and radius basis function (RBF) are selected as base classifiers and a stacking ensemble strategy is further used to reflect the relationship between the outputs of these base classifiers and tool wear states. Based on the heterogeneous ensemble learning classifier, an online monitoring system is constructed in which the harmonic features are extracted from force signals and a minimal redundancy and maximal relevance (mRMR) algorithm is utilized to select the most prominent features. To verify the effectiveness of the proposed method, a titanium alloy milling experiment was carried out and samples with different tool wear states were collected to build the proposed heterogeneous ensemble learning classifier. Moreover, the homogeneous ensemble learning model and majority voting strategy are also adopted to make a comparison. The analysis and comparison results show that the proposed heterogeneous ensemble learning classifier performs better in both classification accuracy and stability. PMID:25405514

Force sensor based tool condition monitoring using a heterogeneous ensemble learning model.

PubMed

Wang, Guofeng; Yang, Yinwei; Li, Zhimeng

2014-11-14

Tool condition monitoring (TCM) plays an important role in improving machining efficiency and guaranteeing workpiece quality. In order to realize reliable recognition of the tool condition, a robust classifier needs to be constructed to depict the relationship between tool wear states and sensory information. However, because of the complexity of the machining process and the uncertainty of the tool wear evolution, it is hard for a single classifier to fit all the collected samples without sacrificing generalization ability. In this paper, heterogeneous ensemble learning is proposed to realize tool condition monitoring in which the support vector machine (SVM), hidden Markov model (HMM) and radius basis function (RBF) are selected as base classifiers and a stacking ensemble strategy is further used to reflect the relationship between the outputs of these base classifiers and tool wear states. Based on the heterogeneous ensemble learning classifier, an online monitoring system is constructed in which the harmonic features are extracted from force signals and a minimal redundancy and maximal relevance (mRMR) algorithm is utilized to select the most prominent features. To verify the effectiveness of the proposed method, a titanium alloy milling experiment was carried out and samples with different tool wear states were collected to build the proposed heterogeneous ensemble learning classifier. Moreover, the homogeneous ensemble learning model and majority voting strategy are also adopted to make a comparison. The analysis and comparison results show that the proposed heterogeneous ensemble learning classifier performs better in both classification accuracy and stability.

The State of Group Support System Research through a Survey of Papers 1980 to 1991

DTIC Science & Technology

1991-09-01

September 1991 Author: _____ Matthew G. Rausch Approved by: I ’K . Tung X. Bui, Thesis Advisor -Moshe Z iran ,econd Reader Department of Admih sraiv Siences ...focus of their support features (voting/analytical modeling, communication/idea organization, game theory/ conflict analysis), and still others by...Moncrieff, J., Taylor, A., April 1990, "Talking with JIMMY Using Electronic Publications in Higher Education," Online Review, Vol. 14, No. 2. Minch, P

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...

RCN members throw away chance to have their say on pensions.

PubMed

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.

77 FR 64115 - Change in Bank Control Notices; Acquisitions of Shares of a Bank or Bank Holding Company

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.

Inference of segmented color and texture description by tensor voting.

PubMed

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.

Carbon Geography. The political economy of congressional support for legislation intended to mitigate greenhouse gas production

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

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.

Neurodynamics of an election.

PubMed

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.

Influence relevance voting: an accurate and interpretable virtual high throughput screening method.

PubMed

Swamidass, S Joshua; Azencott, Chloé-Agathe; Lin, Ting-Wan; Gramajo, Hugo; Tsai, Shiou-Chuan; Baldi, Pierre

2009-04-01

Given activity training data from high-throughput screening (HTS) experiments, virtual high-throughput screening (vHTS) methods aim to predict in silico the activity of untested chemicals. We present a novel method, the Influence Relevance Voter (IRV), specifically tailored for the vHTS task. The IRV is a low-parameter neural network which refines a k-nearest neighbor classifier by nonlinearly combining the influences of a chemical's neighbors in the training set. Influences are decomposed, also nonlinearly, into a relevance component and a vote component. The IRV is benchmarked using the data and rules of two large, open, competitions, and its performance compared to the performance of other participating methods, as well as of an in-house support vector machine (SVM) method. On these benchmark data sets, IRV achieves state-of-the-art results, comparable to the SVM in one case, and significantly better than the SVM in the other, retrieving three times as many actives in the top 1% of its prediction-sorted list. The IRV presents several other important advantages over SVMs and other methods: (1) the output predictions have a probabilistic semantic; (2) the underlying inferences are interpretable; (3) the training time is very short, on the order of minutes even for very large data sets; (4) the risk of overfitting is minimal, due to the small number of free parameters; and (5) additional information can easily be incorporated into the IRV architecture. Combined with its performance, these qualities make the IRV particularly well suited for vHTS.

Development of Light Powered Sensor Networks for Thermal Comfort Measurement

PubMed Central

Lee, Dasheng

2008-01-01

Recent technological advances in wireless communications have enabled easy installation of sensor networks with air conditioning equipment control applications. However, the sensor node power supply, through either power lines or battery power, still presents obstacles to the distribution of the sensing systems. In this study, a novel sensor network, powered by the artificial light, was constructed to achieve wireless power transfer and wireless data communications for thermal comfort measurements. The sensing node integrates an IC-based temperature sensor, a radiation thermometer, a relative humidity sensor, a micro machined flow sensor and a microprocessor for predicting mean vote (PMV) calculation. The 935 MHz band RF module was employed for the wireless data communication with a specific protocol based on a special energy beacon enabled mode capable of achieving zero power consumption during the inactive periods of the nodes. A 5W spotlight, with a dual axis tilt platform, can power the distributed nodes over a distance of up to 5 meters. A special algorithm, the maximum entropy method, was developed to estimate the sensing quantity of climate parameters if the communication module did not receive any response from the distributed nodes within a certain time limit. The light-powered sensor networks were able to gather indoor comfort-sensing index levels in good agreement with the comfort-sensing vote (CSV) preferred by a human being and the experimental results within the environment suggested that the sensing system could be used in air conditioning systems to implement a comfort-optimal control strategy. PMID:27873877

Parsimonious data: How a single Facebook like predicts voting behavior in multiparty systems

PubMed Central

Albrechtsen, Thomas; Dahl-Nielsen, Emil; Jensen, Michael; Skovrind, Magnus

2017-01-01

This study shows how liking politicians’ public Facebook posts can be used as an accurate measure for predicting present-day voter intention in a multiparty system. We highlight that a few, but selective digital traces produce prediction accuracies that are on par or even greater than most current approaches based upon bigger and broader datasets. Combining the online and offline, we connect a subsample of surveyed respondents to their public Facebook activity and apply machine learning classifiers to explore the link between their political liking behaviour and actual voting intention. Through this work, we show that even a single selective Facebook like can reveal as much about political voter intention as hundreds of heterogeneous likes. Further, by including the entire political like history of the respondents, our model reaches prediction accuracies above previous multiparty studies (60–70%). The main contribution of this paper is to show how public like-activity on Facebook allows political profiling of individual users in a multiparty system with accuracies above previous studies. Beside increased accuracies, the paper shows how such parsimonious measures allows us to generalize our findings to the entire population of a country and even across national borders, to other political multiparty systems. The approach in this study relies on data that are publicly available, and the simple setup we propose can with some limitations, be generalized to millions of users in other multiparty systems. PMID:28931023

The Federal Voting Assistance Program: Refocusing and Reorganizing for the Road Ahead

DTIC Science & Technology

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...

7 CFR 1205.204 - Voting.

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

PubMed Central

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

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...

78 FR 22558 - Agency Information Collection Activities; Proposed Collection; Comments Requested: Procedures for...

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...

28 CFR 55.1 - Definitions.

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...

28 CFR 55.1 - Definitions.

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...

The Electoral College

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…

Cortisol and politics: variance in voting behavior is predicted by baseline cortisol levels.

PubMed

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.

Probabilistic Polling And Voting In The 2008 Presidential Election: Evidence From The American Life Panel.

PubMed

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.

Cortisol and Politics: Variance in Voting Behavior is Predicted by Baseline Cortisol Levels

PubMed Central

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

Sophisticated approval voting, ignorance priors, and plurality heuristics: a behavioral social choice analysis in a Thurstonian framework.

PubMed

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.

Formative assessment in mathematics for engineering students

NASA Astrophysics Data System (ADS)

Ní Fhloinn, Eabhnat; Carr, Michael

2017-07-01

In this paper, we present a range of formative assessment types for engineering mathematics, including in-class exercises, homework, mock examination questions, table quizzes, presentations, critical analyses of statistical papers, peer-to-peer teaching, online assessments and electronic voting systems. We provide practical tips for the implementation of such assessments, with a particular focus on time or resource constraints and large class sizes, as well as effective methods of feedback. In addition, we consider the benefits of such formative assessments for students and staff.

Information Management System for Electronic Voting In Support of the Schieffelin Award for Excellence in Teaching

DTIC Science & Technology

2001-09-01

oldz3 decimal(5,3), @sel1 decimal(5,3), @sel2 decimal(5,3), @sel3 decimal(5,3), @ sel4 decimal(5,3), @sel5 decimal(5,3), @sel6 decimal(5,3...tnpSchieffelinHistory WHERE EmployeeID = @s4 and CalendarYear = @year SET @ sel4 = @z4formula + @oldsel4 UPDATE tnpSchieffelinHistory SET...SelectedOnBallotScore = @ sel4 WHERE EmployeeID = @s4 and CalendarYear = @year 345 END

Accurate determination of imaging modality using an ensemble of text- and image-based classifiers.

PubMed

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.

Black Lives Matter: Differential Mortality and the Racial Composition of the U.S. Electorate, 1970–2004

PubMed Central

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

Black lives matter: Differential mortality and the racial composition of the U.S. electorate, 1970-2004.

PubMed

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.

THOMAS, 113th Congress

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:

Rebuild America Jobs Act

THOMAS, 112th Congress

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

THOMAS, 113th Congress

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...

16 CFR 802.4 - Acquisitions of voting securities of issuers or non-corporate interests in unincorporated...

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...

16 CFR 802.4 - Acquisitions of voting securities of issuers or non-corporate interests in unincorporated...

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.…

78 FR 9742 - Agency Information Collection Activities; Proposed Collection; Comments Requested: Procedures for...

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...

45 CFR 614.7 - Record vote.

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...

45 CFR 614.7 - Record vote.

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...

45 CFR 614.7 - Record vote.

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...

45 CFR 614.7 - Record vote.

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...

45 CFR 614.7 - Record vote.

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.

PubMed

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.

Expanding Options. A Model to Attract Secondary Students into Nontraditional Vocational Programs. For Emphasis in: Building Trades, Electronics, Health Services, Machine Shop, Welding.

ERIC Educational Resources Information Center

Good, James D.; DeVore, Mary Ann

This model has been designed for use by Missouri secondary schools in attracting females and males into nontraditional occupational programs. The research-based strategies are intended for implementation in the following areas: attracting females into building trades, electronics, machine shop, and welding; and males into secondary health…

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.

PubMed

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.

Electron beam machining using rotating and shaped beam power distribution

DOEpatents

Elmer, John W.; O'Brien, Dennis W.

1996-01-01

An apparatus and method for electron beam (EB) machining (drilling, cutting and welding) that uses conventional EB guns, power supplies, and welding machine technology without the need for fast bias pulsing technology. The invention involves a magnetic lensing (EB optics) system and electronic controls to: 1) concurrently bend, focus, shape, scan, and rotate the beam to protect the EB gun and to create a desired effective power-density distribution, and 2) rotate or scan this shaped beam in a controlled way. The shaped beam power-density distribution can be measured using a tomographic imaging system. For example, the EB apparatus of this invention has the ability to drill holes in metal having a diameter up to 1000 .mu.m (1 mm or larger), compared to the 250 .mu.m diameter of laser drilling.

40 CFR 63.471 - Facility-wide standards.

Code of Federal Regulations, 2012 CFR

2012-07-01

... machine in solid waste, obtained as described in paragraph (c)(3) of this section, during the most recent... section either in electronic or written form for a period of 5 years. For purposes of this paragraph... machine. (2) The solvent composition of wastes removed from each solvent cleaning machines as determined...

12 CFR 205.16 - Disclosures at automated teller machines.

Code of Federal Regulations, 2011 CFR

2011-01-01

... 12 Banks and Banking 2 2011-01-01 2011-01-01 false Disclosures at automated teller machines. 205.16 Section 205.16 Banks and Banking FEDERAL RESERVE SYSTEM BOARD OF GOVERNORS OF THE FEDERAL RESERVE SYSTEM ELECTRONIC FUND TRANSFERS (REGULATION E) § 205.16 Disclosures at automated teller machines. (a...

Imagining class: A study into material social class position, subjective identification, and voting behavior across Europe.

PubMed

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...

75 FR 51759 - Publication of State Plan Pursuant to the Help America Vote Act

Federal Register 2010, 2011, 2012, 2013, 2014

2010-08-23

... 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), Pub. L. 107-252, the U.S. Election Assistance...

77 FR 75425 - Publication of State Plan Pursuant to the Help America Vote Act

Federal Register 2010, 2011, 2012, 2013, 2014

2012-12-20

... 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...

17 CFR 270.32a-2 - Exemption for initial period from vote of security holders on independent public accountant for...

Code of Federal Regulations, 2010 CFR

2010-04-01

... from vote of security holders on independent public accountant for certain registered separate accounts... from vote of security holders on independent public accountant for certain registered separate accounts... 32(a) of the Act that selection of an independent public accountant shall have been submitted for...

26 CFR 1.423-2 - Employee stock purchase plan defined.

Code of Federal Regulations, 2010 CFR

2010-04-01

... employee owns stock possessing 5 percent or more of the total combined voting power or value of all classes... granted, owns stock possessing 5 percent or more of the total combined voting power or value of all... the percentage of the total combined voting power or value of all classes of stock of the employer...

Temporary Tax Holiday and Government Reduction Act

THOMAS, 112th Congress

Sen. Heller, Dean [R-NV

2011-11-30

Senate - 12/08/2011 Motion to proceed to consideration of measure, under the order of 12/8/2011, not having achieved the required 60 votes in the affirmative, was rejected in Senate by Yea-Nay Vote. 22 - 76. Record Vote Number: 225. (All Actions) Tracker: This bill has the status IntroducedHere are the steps for Status of Legislation:

Middle Class Tax Cut Act of 2011

THOMAS, 112th Congress

Sen. Casey, Robert P., Jr. [D-PA

2011-12-05

Senate - 12/08/2011 Motion to proceed to consideration of measure, under the order of 12/8/2011, not having achieved the required 60 votes in the affirmative, was rejected in Senate by Yea-Nay Vote. 50 - 48. Record Vote Number: 224. (All Actions) Tracker: This bill has the status IntroducedHere are the steps for Status of Legislation:

Public Choice and Private Interest: Explaining the Vote for Property Tax Classification in Massachusetts.

ERIC Educational Resources Information Center

Bloom, Howard S.

1979-01-01

Argues that citizens' perceptions of their monetary self-interest can markedly influence their votes and that such self-interested voting requires clear definition of the alternatives, widespread publicity about the issues, and a simple presentation of what each alternative implies. Available from NTA-TIA, 21 East State Street, Columbus, OH 43215.…

7 CFR 927.52 - Prerequisites to recommendations.

Code of Federal Regulations, 2012 CFR

2012-01-01

... shall have one vote as an individual and, in addition, shall have a vote equal to the percentage of the... practical after the beginning of each fiscal period on either: (1) The basis of one vote for each 25,000 boxes (except 2,500 boxes for varieties or subvarieties with less than 200,000 standard boxes or...

7 CFR 927.52 - Prerequisites to recommendations.

Code of Federal Regulations, 2014 CFR

2014-01-01

... shall have one vote as an individual and, in addition, shall have a vote equal to the percentage of the... practical after the beginning of each fiscal period on either: (1) The basis of one vote for each 25,000 boxes (except 2,500 boxes for varieties or subvarieties with less than 200,000 standard boxes or...

12 CFR 708b.107 - Certificate of vote on merger proposal.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 12 Banks and Banking 6 2010-01-01 2010-01-01 false Certificate of vote on merger proposal. 708b... CREDIT UNIONS MERGERS OF FEDERALLY-INSURED CREDIT UNIONS; VOLUNTARY TERMINATION OR CONVERSION OF INSURED STATUS Mergers § 708b.107 Certificate of vote on merger proposal. The board of directors of the merging...

Long-Term Surface Transportation Extension Act of 2011

THOMAS, 112th Congress

Sen. Hatch, Orrin G. [R-UT

2011-11-02

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. 47 - 53. Record Vote Number: 196. (All Actions) Tracker: This bill has the status IntroducedHere are the steps for Status of Legislation:

28 CFR 51.35 - Disposition of inappropriate submissions.

Code of Federal Regulations, 2010 CFR

2010-07-01

... ADMINISTRATION OF SECTION 5 OF THE VOTING RIGHTS ACT OF 1965, AS AMENDED Processing of Submissions § 51.35.... Inappropriate submissions include the submission of changes that do not affect voting (see, e.g., § 51.13), the... submission of changes that affect voting but are not subject to the requirement of section 5 (see, e.g., § 51...

28 CFR 51.15 - Enabling legislation and contingent or nonuniform requirements.

Code of Federal Regulations, 2010 CFR

2010-07-01

...) PROCEDURES FOR THE ADMINISTRATION OF SECTION 5 OF THE VOTING RIGHTS ACT OF 1965, AS AMENDED General... legislation (1) that enables or permits the State or its political subunits to institute a voting change or (2) that requires or enables the State or its political sub-units to institute a voting change upon some...

75 FR 13574 - Agency Information Collection Activities: Proposed Collection; Comments Requested

Federal Register 2010, 2011, 2012, 2013, 2014

2010-03-22

... Collection Under Review: Procedures for the Administration of Section 5 of the Voting Rights Act of 1965. The.../Collection: Procedures for the Administration of Section 5 of the Voting Rights Act of 1965. (3) Agency form... the Voting Rights Act are required to comply with Section 5 of the Act before they may implement any...

28 CFR 51.10 - Requirement of action for declaratory judgment or submission to the Attorney General.

Code of Federal Regulations, 2011 CFR

2011-07-01

... JUSTICE (CONTINUED) PROCEDURES FOR THE ADMINISTRATION OF SECTION 5 OF THE VOTING RIGHTS ACT OF 1965, AS... Attorney General. Section 5 requires that, prior to enforcement of any change affecting voting, the... determination from the U.S. District Court for the District of Columbia that the voting change neither has the...

The Voting Rights Act and Black Electoral Participation.

ERIC Educational Resources Information Center

Thompson, Kenneth H.

An analysis of Census Bureau data on registration and voting by black citizens over the past two decades shows the positive influence of the 1965 Voting Rights Act on electoral participation. After the passage of the act, there was more than a 50% increase in the number of black registered voters. Of black and white citizens participating in the…

76 FR 56833 - Self-Regulatory Organizations; BATS Y-Exchange, Inc.; Notice of Filing of Proposed Rule Change To...

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... B Common Stock. Except for voting rights and certain conversion features, as described below, Class...

28 CFR 51.11 - Right to bring suit.

Code of Federal Regulations, 2011 CFR

2011-07-01

... THE VOTING RIGHTS ACT OF 1965, AS AMENDED General Provisions § 51.11 Right to bring suit. Submission... affecting voting neither has the purpose nor will have the effect of denying or abridging the right to vote... 28 Judicial Administration 2 2011-07-01 2011-07-01 false Right to bring suit. 51.11 Section 51.11...

28 CFR 51.15 - Enabling legislation and contingent or nonuniform requirements.

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 General... legislation (1) that enables or permits the State or its political subunits to institute a voting change or (2) that requires or enables the State or its political sub-units to institute a voting change upon some...

28 CFR 51.48 - Decision after reconsideration.

Code of Federal Regulations, 2011 CFR

2011-07-01

... OF SECTION 5 OF THE VOTING RIGHTS ACT OF 1965, AS AMENDED Processing of Submissions § 51.48 Decision... effect of denying or abridging the right to vote on account of race, color, or membership in a language... nor will have the effect of denying or abridging the right to vote on account of race, color, or...

28 CFR 51.9 - Computation of time.

Code of Federal Regulations, 2011 CFR

2011-07-01

... THE VOTING RIGHTS ACT OF 1965, AS AMENDED General Provisions § 51.9 Computation of time. (a) The... voting for which a response on the merits is appropriate (see § 51.35, § 51.37). (b) The 60-day period shall commence upon receipt of a submission by the Voting Section of the Department of Justice's Civil...

76 FR 80989 - Self-Regulatory Organizations; NYSE Amex LLC; Notice of Filing and Order Granting Accelerated...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-12-27

... Rule 577 Relating to Discretionary Proxy Voting on Executive Compensation Matters December 20, 2011. Pursuant to Section 19(b)(1) of the Securities Exchange Act of 1934 (``Act''),\\1\\ and Rule 19b-4 thereunder... from voting uninstructed shares if the matter voted on relates to executive compensation. The foregoing...

75 FR 11911 - Civil Rights Division; Agency Information Collection Activities: Proposed Collection; Comments...

Federal Register 2010, 2011, 2012, 2013, 2014

2010-03-12

... review: Procedures for the Administration of Section 5 of the Voting Rights Act of 1965. The Department... 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 required to comply with Section 5 of the Act before they...

78 FR 77110 - Publication of State Plan Pursuant to the Help America Vote Act

Federal Register 2010, 2011, 2012, 2013, 2014

2013-12-20

... 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...

Creating Discussions with Classroom Voting in Linear Algebra

ERIC Educational Resources Information Center

Cline, Kelly; Zullo, Holly; Duncan, Jonathan; Stewart, Ann; Snipes, Marie

2013-01-01

We present a study of classroom voting in linear algebra, in which the instructors posed multiple-choice questions to the class and then allowed a few minutes for consideration and small-group discussion. After each student in the class voted on the correct answer using a classroom response system, a set of clickers, the instructor then guided a…

The Corner

Treesearch

David Giblin; Daniel C Dey; Dick Burhans; John Kabrick; Brian Root; Jennifer Grabner; Mike Gold

2001-01-01

This past March the membership was asked for the first time ever to vote on an advocacy issue instance the issue was a petition initiated by the California Native Plant Society supporting the equal protection of plants under the Federal Endangered Species Act. A total of 34 votes were cast, with an overwhelming majority of the votes in favor of MOSCB becoming a...

Passing the Test: Ecological Regression Analysis in the Los Angeles County Case and Beyond.

ERIC Educational Resources Information Center

Lichtman, Allan J.

1991-01-01

Statistical analysis of racially polarized voting prepared for the Garza v County of Los Angeles (California) (1990) voting rights case is reviewed to demonstrate that ecological regression is a flexible, robust technique that illuminates the reality of ethnic voting, and superior to the neighborhood model supported by the defendants. (SLD)

17 CFR 270.32a-2 - Exemption for initial period from vote of security holders on independent public accountant for...

Code of Federal Regulations, 2013 CFR

2013-04-01

... from vote of security holders on independent public accountant for certain registered separate accounts... from vote of security holders on independent public accountant for certain registered separate accounts... 32(a) of the Act that selection of an independent public accountant shall have been submitted for...

17 CFR 270.32a-2 - Exemption for initial period from vote of security holders on independent public accountant for...

Code of Federal Regulations, 2014 CFR

2014-04-01

... from vote of security holders on independent public accountant for certain registered separate accounts... from vote of security holders on independent public accountant for certain registered separate accounts... 32(a) of the Act that selection of an independent public accountant shall have been submitted for...

17 CFR 270.32a-2 - Exemption for initial period from vote of security holders on independent public accountant for...

Code of Federal Regulations, 2012 CFR

2012-04-01

... from vote of security holders on independent public accountant for certain registered separate accounts... from vote of security holders on independent public accountant for certain registered separate accounts... 32(a) of the Act that selection of an independent public accountant shall have been submitted for...

17 CFR 270.32a-2 - Exemption for initial period from vote of security holders on independent public accountant for...

Code of Federal Regulations, 2011 CFR

2011-04-01

... from vote of security holders on independent public accountant for certain registered separate accounts... from vote of security holders on independent public accountant for certain registered separate accounts... 32(a) of the Act that selection of an independent public accountant shall have been submitted for...