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Institution

Arizona State University

EducationTempe, Arizona, United States
About: Arizona State University is a education organization based out in Tempe, Arizona, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 40425 authors who have published 109662 publications receiving 4488331 citations. The organization is also known as: Arizona State & ASU Tempe.


Papers
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Journal ArticleDOI
TL;DR: An up-to-date synthesis of estimates of global CH4 emissions from wetlands and other freshwater aquatic ecosystems is provided, major biogeophysical controls over CH4 emitters from wetlands are summarized, new frontiers in CH4 biogeochemistry are suggested, and relationships between methanogen community structure and CH4 dynamics in situ are examined.
Abstract: Understanding the dynamics of methane (CH4) emissions is of paramount importance because CH4 has 25 times the global warming potential of carbon dioxide (CO2) and is currently the second most important anthropogenic greenhouse gas. Wetlands are the single largest natural CH4 source with median emissions from published studies of 164 Tg yr 1 , which is about a third of total global emissions. We provide a perspective on important new frontiers in obtaining a better understanding of CH4 dynamics in natural systems, with a focus on wetlands. One of the most exciting recent developments in this field is the attempt to integrate the different methodologies and spatial scales of biogeochemistry, molecular microbiology, and modeling, and thus this is a major focus of this review. Our specific objectives are to provide an up-to-date synthesis of estimates of global CH4 emissions from wetlands and other freshwater aquatic ecosystems, briefly summarize major biogeophysical controls over CH4 emissions from wetlands, suggest new frontiers in CH4 biogeochemistry, examine relationships between methanogen community structure and CH4 dynamics in situ, and to review the current generation of CH4 models. We highlight throughout some of the most pressing issues concerning global change and feedbacks on CH4 emissions from natural ecosystems. Major uncertainties in estimating current and future CH4 emissions from natural ecosystems include the following: (i) A number of important controls over CH4 production, consumption, and transport have not been, or are inadequately, incorporated into existing CH4 biogeochemistry models. (ii) Significant errors in regional and global emission estimates are derived from large spatial-scale extrapolations from highly heterogeneous and often poorly mapped wetland complexes. (iii) The limited number of observations of CH4 fluxes and their associated environmental variables loosely constrains the parameterization of process-based biogeochemistry models.

847 citations

Journal ArticleDOI
TL;DR: The assertion that internalization of sociocultural pressures mediate the adverse effects of the thin ideal is supported, as structural equation modeling revealed a direct effect of media exposure on eating disorder symptoms.
Abstract: Although investigators have postulated that the thin ideal for women espoused in the media is related to the high rates of eating disorders among females, little research has examined the relation between media exposure and eating pathology. This study assessed the relation of media exposure to eating disorder symptoms and tested whether gender-role endorsement, ideal-body stereotype internalization, and body satisfaction mediated this effect. In data from 238 female undergraduates, structural equation modeling revealed a direct effect of media exposure on eating disorder symptoms. Furthermore, mediational linkages were found for gender-role endorsement, ideal body stereotype internalization, and body satisfaction. The results support the assertion that internalization of sociocultural pressures mediate the adverse effects of the thin ideal.

847 citations

Journal ArticleDOI
TL;DR: An empirical study is conducted to examine the pros and cons of these search methods, give some guidelines on choosing a search method, and compare the classifier error rates before and after feature selection.

846 citations

Journal ArticleDOI
13 May 2010-Nature
TL;DR: It is demonstrated that previously developed random walkers show elementary robotic behaviour when interacting with a precisely defined environment and single-molecule microscopy observations confirm that such walkers achieve directional movement by sensing and modifying tracks of substrate molecules laid out on a two-dimensional DNA origami landscape.
Abstract: Traditional robots rely for their function on computing, to store internal representations of their goals and environment and to coordinate sensing and any actuation of components required in response. Moving robotics to the single-molecule level is possible in principle, but requires facing the limited ability of individual molecules to store complex information and programs. One strategy to overcome this problem is to use systems that can obtain complex behaviour from the interaction of simple robots with their environment. A first step in this direction was the development of DNA walkers, which have developed from being non-autonomous, to being capable of directed but brief motion on one-dimensional tracks. Here we demonstrate that previously developed random walkers—so-called molecular spiders that comprise a streptavidin molecule as an inert ‘body’ and three deoxyribozymes as catalytic ‘legs’—show elementary robotic behaviour when interacting with a precisely defined environment. Single-molecule microscopy observations confirm that such walkers achieve directional movement by sensing and modifying tracks of substrate molecules laid out on a two-dimensional DNA origami landscape. When using appropriately designed DNA origami, the molecular spiders autonomously carry out sequences of actions such as ‘start’, ‘follow’, ‘turn’ and ‘stop’. We anticipate that this strategy will result in more complex robotic behaviour at the molecular level if additional control mechanisms are incorporated. One example might be interactions between multiple molecular robots leading to collective behaviour; another might be the ability to read and transform secondary cues on the DNA origami landscape as a means of implementing Turing-universal algorithmic behaviour.

845 citations

Journal ArticleDOI
TL;DR: In this article, the authors conducted a pilot test of the PsyCap intervention (PCI) model with a randomized control group design, and conducted a follow-up study with a cross section of practicing managers to determine if following the training guidelines of the PCI caused the participants' performance to improve.
Abstract: Recently, theory and research have supported psychological capital (PsyCap) as an emerging core construct linked to positive outcomes at the individual and organizational level. However, to date, little attention has been given to PsyCap development through training interventions; nor have there been attempts to determine empirically if such PsyCap development has a causal impact on participants' performance. To fill these gaps we first conducted a pilot test of the PsyCap intervention (PCI) model with a randomized control group design. Next, we conducted a follow-up study with a cross section of practicing managers to determine if following the training guidelines of the PCI caused the participants' performance to improve. Results provide beginning empirical evidence that short training interventions such as PCI not only may be used to develop participants' psychological capital, but can also lead to an improvement in their on-the-job performance. The implications these findings have for human resource development and performance management conclude the article.

844 citations


Authors

Showing all 40980 results

NameH-indexPapersCitations
Zhong Lin Wang2452529259003
Xiaohui Fan183878168522
John A. Rogers1771341127390
Omar M. Yaghi165459163918
Martin Karplus163831138492
Daniel J. Jacob16265676530
Elliott M. Antman161716179462
Peter B. Reich159790110377
Joseph Wang158128298799
Claude Bouchard1531076115307
Rajesh Kumar1494439140830
Paolo Boffetta148145593876
Yoshio Bando147123480883
James M. Tour14385991364
Andrew G. Clark140823123333
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20241
2023208
2022864
20216,219
20206,310
20195,787