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
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College of Charleston1, Clemson University2, Boston University3, San Francisco State University4, Duke University5, University of Florida6, University of Rhode Island7, Woods Hole Oceanographic Institution8, St. Francis Xavier University9, Wilfrid Laurier University10, United States Environmental Protection Agency11, University of Miami12, University of New Orleans13, University of Waterloo14, Mount Desert Island Biological Laboratory15, College of William & Mary16, Louisiana State University17, University of Georgia18
TL;DR: It is suggested that a more complete genomics toolbox for F. heteroclitus and related species will permit researchers to exploit the power of this model organism to rapidly advance the understanding of fundamental biological and pathological mechanisms among vertebrates, as well as ecological strategies and evolutionary processes common to all living organisms.
284 citations
TL;DR: In this article, the authors demonstrate that the validity of assumed mediation models is highly suspect when they are based on the findings of nonexperimental research and propose strategies for conducting research using these and other assumptions.
Abstract: Tests of assumed mediation models are common in the organizational sciences. However, the validity of inferences about mediation is a function of experimental design and the setting of a study. Regrettably, most tests of mediation have relied on the application of so-called ``causal modeling'' techniques to data from nonexperimental studies. As we demonstrate, inferences about the validity of assumed mediation models are highly suspect when they are based on the findings of nonexperimental research. One of the many reasons for this is the failure of the model being tested to be consistent with reality. Valid research-based inferences about mediation are possible. However, inferences from such tests are most likely to be valid when they are based on research that uses randomized experimental designs. Strategies for conducting research using these and other designs are described. Finally, we offer a set of conclusions and recommendations that stem from our analysis.
284 citations
TL;DR: The synthesis and pharmacology of 15 1-deoxy-delta8-THC analogues, several of which have high affinity for the CB2 receptor are described, and the affinities of each compound for theCB1 and CB2 receptors were determined employing previously described procedures.
284 citations
TL;DR: In this article, the authors derived the asymptotic distribution of DEA estimators under variable returns to scale and proved consistency of two different bootstrap procedures (one based on subsampling, the other based on smoothing).
Abstract: Nonparametric data envelopment analysis (DEA) estimators based on linear programming methods have been widely applied in analyses of productive efficiency. The distributions of these estimators remain unknown except in the simple case of one input and one output, and previous bootstrap methods proposed for inference have not been proved consistent, making inference doubtful. This paper derives the asymptotic distribution of DEA estimators under variable returns to scale. This result is used to prove consistency of two different bootstrap procedures (one based on subsampling, the other based on smoothing). The smooth bootstrap requires smoothing the irregularly bounded density of inputs and outputs and smoothing the DEA frontier estimate. Both bootstrap procedures allow for dependence of the inefficiency process on output levels and the mix of inputs in the case of input-oriented measures, or on input levels and the mix of outputs in the case of output-oriented measures.
284 citations
Marine Biological Laboratory1, Boston University2, United States Geological Survey3, Yale University4, Michigan Technological University5, Purdue University6, University of New Hampshire7, University of Oklahoma8, Colorado State University9, University of Georgia10, University of California, Davis11, University of Sydney12, University of Minnesota13, Chinese Academy of Sciences14, University of California, Irvine15, University of Hohenheim16, University of Oregon17, University of New Mexico18, University of Arizona19, University of California, Berkeley20, University of Copenhagen21, Stanford University22, Clemson University23, University of Amsterdam24
TL;DR: The largest global dataset to date of soil respiration, moisture, and temperature measurements, totaling >3,800 observations representing 27 temperature manipulation studies, spanning nine biomes and over 2 decades of warming, finds that although warming increases soilrespiration rates, there is limited evidence for a shifting respiration response with experimental warming.
Abstract: The respiratory release of carbon dioxide (CO2) from soil is a major yet poorly understood flux in the global carbon cycle. Climatic warming is hypothesized to increase rates of soil respiration, potentially fueling further increases in global temperatures. However, despite considerable scientific attention in recent decades, the overall response of soil respiration to anticipated climatic warming remains unclear. We synthesize the largest global dataset to date of soil respiration, moisture, and temperature measurements, totaling >3,800 observations representing 27 temperature manipulation studies, spanning nine biomes and over 2 decades of warming. Our analysis reveals no significant differences in the temperature sensitivity of soil respiration between control and warmed plots in all biomes, with the exception of deserts and boreal forests. Thus, our data provide limited evidence of acclimation of soil respiration to experimental warming in several major biome types, contrary to the results from multiple single-site studies. Moreover, across all nondesert biomes, respiration rates with and without experimental warming follow a Gaussian response, increasing with soil temperature up to a threshold of ∼25 °C, above which respiration rates decrease with further increases in temperature. This consistent decrease in temperature sensitivity at higher temperatures demonstrates that rising global temperatures may result in regionally variable responses in soil respiration, with colder climates being considerably more responsive to increased ambient temperatures compared with warmer regions. Our analysis adds a unique cross-biome perspective on the temperature response of soil respiration, information critical to improving our mechanistic understanding of how soil carbon dynamics change with climatic warming.
284 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 |