Institution
Clemson University
Education•Clemson, South Carolina, United States•
About: Clemson University is a education organization based out in Clemson, South Carolina, United States. It is known for research contribution in the topics: Population & Control theory. The organization has 20556 authors who have published 42518 publications receiving 1170779 citations. The organization is also known as: Clemson Agricultural College of South Carolina.
Topics: Population, Control theory, Poison control, Optical fiber, Fiber
Papers published on a yearly basis
Papers
More filters
••
547 citations
••
TL;DR: Carbon-based nanomaterials readily aggregate and are not considered potential contaminants in the liquid phase, but when discharged into the environment, the hydrophobicity of nanom material can be averted through their interaction with natural organic matter.
Abstract: Recent development of nanotechnology has reshaped the landscape of modern science and technology, while in the meantime raised concerns about the adverse effects of nanomaterials on biological systems and the environment. Owing to their mutual interaction, carbon-based nanomaterials readily aggregate and are not considered potential contaminants in the liquid phase. However, when discharged into the environment, the hydrophobicity of nanomaterials can be averted through their interaction with natural organic matter (NOM), a heterogeneous mixture of decomposed animals and plants and a major pollutant carrier in nature. Consequently, mobile NOM-modified nanomaterials may pose a threat to ecological terrestrial species through further physical, chemical, and biological processes. The impact of nanomaterials on high plants has scantly been examined in the current literature. Among the studies available, none have used major food crops or carbon nanoparticles (a major class of nanomaterials) for their evaluations. Although both enhanced and inhibited growth have been reported for vegetations exposed to nanomaterials at various developmental stages, including seed germina-
546 citations
••
TL;DR: Functional biomechanical properties of periostin null skin specimens and atrioventricular valve explant experiments provided direct evidence of the role that periastin plays in regulating the viscoelastic properties of connective tissues.
Abstract: Periostin is predominantly expressed in collagen-rich fibrous connective tissues that are subjected to constant mechanical stresses including: heart valves, tendons, perichondrium, cornea, and the periodontal ligament (PDL) Based on these data we hypothesize that periostin can regulate collagen I fibrillogenesis and thereby affect the biomechanical properties of connective tissues Immunoprecipitation and immunogold transmission electron microscopy experiments demonstrate that periostin is capable of directly interacting with collagen I To analyze the potential role of periostin in collagen I fibrillogenesis, gene targeted mice were generated Transmission electron microscopy and morphometric analyses demonstrated reduced collagen fibril diameters in skin dermis of periostin knockout mice, an indication of aberrant collagen I fibrillogenesis In addition, differential scanning calorimetry (DSC) demonstrated a lower collagen denaturing temperature in periostin knockout mice, reflecting a reduced level of collagen cross-linking Functional biomechanical properties of periostin null skin specimens and atrioventricular (AV) valve explant experiments provided direct evidence of the role that periostin plays in regulating the viscoelastic properties of connective tissues Collectively, these data demonstrate for the first time that periostin can regulate collagen I fibrillogenesis and thereby serves as an important mediator of the biomechanical properties of fibrous connective tissues
544 citations
••
TL;DR: In this paper, the authors examine the wide-spread practice where data envelopment analysis (DEA) efficiency estimates are regressed on some environmental variables in a second-stage analysis, and make clear that second stage OLS estimation is consistent only under very peculiar and unusual assumptions on the data-generating process that limit its applicability.
Abstract: This paper examines the wide-spread practice where data envelopment analysis (DEA) efficiency estimates are regressed on some environmental variables in a second-stage analysis. In the literature, only two statistical models have been proposed in which second-stage regressions are well-defined and meaningful. In the model considered by Simar and Wilson (J Prod Anal 13:49–78, 2007), truncated regression provides consistent estimation in the second stage, where as in the model proposed by Banker and Natarajan (Oper Res 56: 48–58, 2008a), ordinary least squares (OLS) provides consistent estimation. This paper examines, compares, and contrasts the very different assumptions underlying these two models, and makes clear that second-stage OLS estimation is consistent only under very peculiar and unusual assumptions on the data-generating process that limit its applicability. In addition, we show that in either case, bootstrap methods provide the only feasible means for inference in the second stage. We also comment on ad hoc specifications of second-stage regression equations that ignore the part of the data-generating process that yields data used to obtain the initial DEA estimates.
543 citations
••
Princeton University1, Carnegie Learning2, University of Leicester3, University College London4, Dartmouth College5, University of Wisconsin-Madison6, Nanjing University7, California Institute of Technology8, Pennsylvania State University9, Weizmann Institute of Science10, University of California, Berkeley11, University of Arizona12, University of Texas at Austin13, Goddard Space Flight Center14, York University15, Clemson University16, University of Virginia17, National Tsing Hua University18, Universities Space Research Association19, University of Southampton20, Max Planck Society21, University of Amsterdam22, University of Chicago23
TL;DR: This work reports the serendipitous discovery of a supernova at the time of the explosion, marked by an extremely luminous X-ray outburst, and attributes the outburst to the ‘break-out’ of the supernova shock wave from the progenitor star, and shows that the inferred rate of such events agrees with that of all core-collapse supernovae.
Abstract: Massive stars end their short lives in spectacular explosions—supernovae—that synthesize new elements and drive galaxy evolution. Historically, supernovae were discovered mainly through their 'delayed' optical light (some days after the burst of neutrinos that marks the actual event), preventing observations in the first moments following the explosion. As a result, the progenitors of some supernovae and the events leading up to their violent demise remain intensely debated. Here we report the serendipitous discovery of a supernova at the time of the explosion, marked by an extremely luminous X-ray outburst. We attribute the outburst to the 'break-out' of the supernova shock wave from the progenitor star, and show that the inferred rate of such events agrees with that of all core-collapse supernovae. We predict that future wide-field X-ray surveys will catch each year hundreds of supernovae in the act of exploding.
542 citations
Authors
Showing all 20718 results
Name | H-index | Papers | Citations |
---|---|---|---|
Yury Gogotsi | 171 | 956 | 144520 |
Philip S. Yu | 148 | 1914 | 107374 |
Aaron Dominguez | 147 | 1968 | 113224 |
Danny Miller | 133 | 512 | 71238 |
Marco Ajello | 131 | 535 | 58714 |
David C. Montefiori | 129 | 920 | 70049 |
Frank L. Lewis | 114 | 1045 | 60497 |
Jianqing Fan | 104 | 488 | 58039 |
Wei Chen | 103 | 1438 | 44994 |
Ken A. Dill | 99 | 401 | 41289 |
Gerald Schubert | 98 | 614 | 34505 |
Rod A. Wing | 98 | 333 | 47696 |
Feng Chen | 95 | 2138 | 53881 |
Jimin George | 94 | 331 | 62684 |
François Diederich | 93 | 843 | 46906 |