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Institution

Rensselaer Polytechnic Institute

EducationTroy, New York, United States
About: Rensselaer Polytechnic Institute is a education organization based out in Troy, New York, United States. It is known for research contribution in the topics: Terahertz radiation & Population. The organization has 19024 authors who have published 39922 publications receiving 1414699 citations. The organization is also known as: RPI & Rensselaer Institute.


Papers
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Journal ArticleDOI
TL;DR: An octree-based fully automatic three-dimensional mesh generator is presented, capable of meshing non-manifold models of arbitrary geometric complexity through the explicit tracking and enforcement of geometric compatibility and geometric similarity at each step of the meshing process.
Abstract: An octree-based fully automatic three-dimensional mesh generator is presented. The mesh generator is capable of meshing non-manifold models of arbitrary geometric complexity through the explicit tracking and enforcement of geometric compatibility and geometric similarity at each step of the meshing process. The resulting procedure demonstrates a linear growth rate with respect to the number of elements and can be easily integrated with any geometric modeller through a set of geometric operators.

700 citations

Journal ArticleDOI
TL;DR: Baron and Neuman as discussed by the authors investigated whether verbal, indirect, and passive forms of aggression are more common in work environments than physical, direct, and active forms of aggressions.
Abstract: Recent news reports have focused attention on dramatic instances of workplace violence-extreme acts of aggression in work settings. It is suggested here that such actions, while both tragic and frightening, are only a small part of a much larger problem of workplace aggression-efforts by individuals to harm others with whom they work or the organizations in which they are employed. The present study investigated two major hypotheses with respect to such aggression: 1) contrary to what media reports suggest, most aggression occurring in work settings is verbal, indirect, and passive rather than physical, direct, and active; 2) recent changes in many organizations (e.g., downsizing, increased workforce diversity) have generated conditions that may contribute to the occurrence of workplace aggression. A survey of 178 employed persons provided partial support for both predictions. Verbal and passive forms of aggression were rated as more frequent by participants than physical and active forms of aggression. In addition, the greater the extent to which several changes had occurred recently in participants' organizations, the greater the incidence of workplace aggression they reported. VioLit summary: OBJECTIVE: The purpose of this study by Baron and Neuman was to examine whether verbal, indirect, and passive forms of aggression are more common in work environments than physical, direct, and active forms of aggression. Additionally, the authors investigated whether changes that occur in work environments lead to increased workplace aggression. METHODOLOGY: A quasi-experimental, cross-sectional study was employed. The sample included 178 full-time workers (92 females and 86 males). These individuals worked for a wide range of organizations in both the public and private sector and had held their positions anywhere from less than one year to more than five years. They ranged in age from their twenties to their sixties. The participants were asked to complete a questionnaire dealing with workplace aggression. Forty items concerned perceived frequency of various forms of aggression. These forms of aggression were based on Buss' three dichotomies: physical-verbal, active-passive, and direct-indirect. For each, participants were asked to rate the extent to which they had witnessed and/or experienced each type of aggression from never to very often. The next thirteen questions asked participants to rate the extent to which the following changes had occurred in their workplace within the previous twelve months: downsizing, layoffs, budget cuts, technological change, increased diversity within the workforce, introduction of new affirmative action policies, use of computers to monitor employee-performance, change in management, restructuring, reengineering, pay cuts, increased use of part-time workers, and job sharing. The final section asked for demographic information such as gender, age, position, years with employers, and the size and nature of the organization. The authors hypothesized that covert forms of aggression (verbal, passive, and indirect) were more frequent in work environments than overt (physical, active, and direct) forms of aggression and that the greater the extent to which various changes have occurred in a work environment, the higher the incidence of aggression in that environment. Analysis included examination of frequencies and means as well as t-tests, correlations, and multiple regression. FINDINGS/DISCUSSION: As hypothesized, the findings indicated for both witnessed and experienced aggression that verbal aggression was rated as significantly more frequent in occurrence than physical aggression (p In regards to changes in the workplace, certain changes occurred more frequently than others. Changes in management, organizational restructuring, and downsizing occurred most frequently, while changes in affirmative action and job sharing occurred least frequently. Several types of change were also significantly correlated with reported frequency of aggression. Increased diversity (p Finally, forward selection multiple aggression analyses revealed that increased use of part-time employees and changes in management were significant predictors of perception of witnessed aggression, while use of part-time employees, increased workplace diversity, and pay cuts or freezes were significant predictors of experienced aggression (p The authors concluded by stressing that the results offer partial support for both hypotheses and that although instances of actual workplace violence are important and have serious consequences, it is unwise to focus research attention solely upon them. (CSPV Abstract - Copyright © 1992-2007 by the Center for the Study and Prevention of Violence, Institute of Behavioral Science, Regents of the University of Colorado) KW - Workplace Violence KW - Workplace Aggression KW - Aggression Causes KW - Violence Causes KW - Adult Violence KW - Adult Offender KW - Adult Perceptions KW - Adult Aggression KW - Aggression Incidence and Prevalence KW - Violence Incidence and Prevalence

699 citations

Book ChapterDOI
TL;DR: In this paper, the elastic constants of the isotropic medium have been studied and a tabulation of elastic constants for such specimens is provided, not only for itself, but also because the data can be correlated with other physical measurements and thereby provide possible insight into the nature of the atomic forces in solid matter.
Abstract: Publisher Summary This chapter discusses the elastic constants of crystals. The elastic properties of solid matter hold interest for both technology and basic research. In the first field applied elasticity is an important discipline for those fundamental considerations of engineering design which are usually included under the designation “strength of materials.” The treatment of structural materials requires semiempirical methods, because their compositions are complex and prior treatment has a pronounced effect. On the other hand, basic research into elastic properties is usually concerned with work on specimens in the simplest state which can be obtained reproducibly—for example, annealed single crystals. The complete tabulation of elastic constants for such specimens is valuable, not only for itself, but also because the data can be correlated with other physical measurements and thereby provide possible insight into the nature of the atomic forces in solid matter. The research aspect of elastic studies is of primary interest for this chapter. The case of the isotropic medium is important both for the chronological development of the subject of elasticity and also for its applicability to polycrystals and glasses.

694 citations

Journal ArticleDOI
TL;DR: In this paper, the relative influence of vertical versus shared leadership within new venture top management teams on the performance of startups using two different samples was investigated, and both vertical and shared leadership were found to be highly significant predictors of new venture performance.
Abstract: The current study investigated the relative influence of vertical versus shared leadership within new venture top management teams on the performance of startups using two different samples. Vertical leadership stems from an appointed or formal leader of a team (e.g., the CEO), whereas shared leadership is a form of distributed leadership stemming from within a team. Transformational, transactional, empowering, and directive dimensions of both vertical and shared leadership were examined. New venture performance was considered in terms of revenue growth and employee growth. The first sample was comprised of 66 top management teams of firms drawn from Inc. Magazine's annual list of America's 500 fastest growing startups. The seconded sample consisted of 154 top management teams of startups randomly drawn from Dun and Bradstreet, which compiles the most extensive database available for identifying relatively young American-based ventures. Both vertical and shared leadership were found to be highly significant predictors of new venture performance. Further, hierarchical regression analysis found the shared leadership variables to account for a significant amount of variance in new venture performance beyond the vertical leadership variables. These results were consistent across both samples, thus providing robust evidence for the value of shared leadership, in addition to the more traditional concept of vertical leadership.

687 citations

Journal ArticleDOI
TL;DR: This paper presents a robust and accurate novel method for segmenting cell nuclei using a combination of ideas, and presents an efficient semiautomated approach to editing automated segmentation results that requires two mouse clicks per operation.
Abstract: Automatic segmentation of cell nuclei is an essential step in image cytometry and histometry. Despite substantial progress, there is a need to improve accuracy, speed, level of automation, and adaptability to new applications. This paper presents a robust and accurate novel method for segmenting cell nuclei using a combination of ideas. The image foreground is extracted automatically using a graph-cuts-based binarization. Next, nuclear seed points are detected by a novel method combining multiscale Laplacian-of-Gaussian filtering constrained by distance-map-based adaptive scale selection. These points are used to perform an initial segmentation that is refined using a second graph-cuts-based algorithm incorporating the method of alpha expansions and graph coloring to reduce computational complexity. Nuclear segmentation results were manually validated over 25 representative images (15 in vitro images and 10 in vivo images, containing more than 7400 nuclei) drawn from diverse cancer histopathology studies, and four types of segmentation errors were investigated. The overall accuracy of the proposed segmentation algorithm exceeded 86%. The accuracy was found to exceed 94% when only over- and undersegmentation errors were considered. The confounding image characteristics that led to most detection/segmentation errors were high cell density, high degree of clustering, poor image contrast and noisy background, damaged/irregular nuclei, and poor edge information. We present an efficient semiautomated approach to editing automated segmentation results that requires two mouse clicks per operation.

683 citations


Authors

Showing all 19133 results

NameH-indexPapersCitations
Pulickel M. Ajayan1761223136241
Zhenan Bao169865106571
Murray F. Brennan16192597087
Ashok Kumar1515654164086
Joseph R. Ecker14838194860
Bruce E. Logan14059177351
Shih-Fu Chang13091772346
Michael G. Rossmann12159453409
Richard P. Van Duyne11640979671
Michael Lynch11242263461
Angel Rubio11093052731
Alan Campbell10968753463
Boris I. Yakobson10744345174
O. C. Zienkiewicz10745571204
John R. Reynolds10560750027
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202334
2022177
20211,118
20201,356
20191,328
20181,245