نتایج جستجو برای: pollutant levels

تعداد نتایج: 935156  

2004
Erin E. Dooley

butions of exposure to environmental neuro-toxicant chemicals in the marked increase in neurodevelopmental disorders, including learning disabilities, attention deficit and hyperactivity disorder, and autism spectrum disorders (Szpir 2006). Despite the increasing recognition of the importance of evaluating developmental neurotoxicity in safety assessment (Claudio et al., the fact remains that, ...

Journal: :Plant physiology 1985
C Grunwald A G Endress

Soybeans (Glycine max) exposed to chronic levels of ozone showed a linear decrease in biomass with increasing concentration. The foliar free sterols increased while the steryl ester, and the steryl glycosides, a minor component, decreased with increasing pollutant concentration. Of the free sterols, stigmasterol showed the largest increase, followed by sitosterol; campesterol, however, decrease...

1995

Introduction Mercury has been well known as an environmental pollutant for several decades. As early as the 1950’s it was established that emissions of mercury to the environment could have serious effects on human health. These early studies demonstrated that fish and other wildlife from various ecosystems commonly attain mercury levels of toxicological concern when directly affected by mercur...

Journal: :Environmental pollution 2013
Raül Ramos Francisco Ramírez Lluís Jover

The suitability of sentinel species to monitor environmental pollution is often hampered by an insufficient knowledge on pollutant trophodynamics. We simultaneously evaluated the influence of individuals' trophic position (as revealed by δ(15)N values) and dietary exploitation of particular systems (using δ(13)C and δ(34)S as proxies) on inorganic pollutant concentrations measured on fledglings...

Journal: :J. Inf. Sci. Eng. 2015
Lingfang Zeng Chao Jin Bharadwaj Veeravalli Dan Feng

LINGFANG ZENG, CHAO JIN, BHARADWAJ VEERAVALLI AND DAN FENG Wuhan National Laboratory for Optoelectronics School of Computer Huazhong University of Science and Technology Wuhan, 430074 P.R. China Data Storage Institute 117608 Singapore Department of Electrical and Computer Engineering National University of Singapore 117576 Singapore E-mail: {lfzeng; dfeng}@hust.edu.cn; [email protected]...

Journal: :Quantum Information Processing 2013
Bela Bauer Claire Levaillant

After 100 years of effort, the classification of all the finite subgroups of SU(3) is yet incomplete. The most recently updated list can be found in [3], where the structure of the series (C) and (D) of SU(3)-subgroups is studied. We provide a minimal set of generators for one of these groups which has order 162. These generators appear up to phase as the image of an irreducible unitary braid g...

Journal: :Comput. Graph. Forum 2011
Thomas Schultz

The topological structure of scalar, vector, and second-order tensor fields provides an important mathematical basis for data analysis and visualization. In this paper, we extend this framework towards higher-order tensors. First, we establish formal uniqueness properties for a geometrically constrained tensor decomposition. This allows us to define and visualize topological structures in symme...

1999
Michael Hoel Larry Karp

We compare taxes and quotas when firms and the regulator have asymmetric information about the slope of firms’ abatement costs. Damages are caused by a stock pollutant. We calibrate the model using cost and damage estimates of greenhouse gasses. Taxes dominate quotas, as with additive uncertainty. This model with multiplicative uncertainty allows us to compare expected stock levels under the tw...

2004
DIMITRI SHLYAKHTENKO

We compute the group of Morita self-equivalences (the Picard group) of a Poisson structure on an orientable surface, under the assumption that the degeneracies of the Poisson tensor are linear. The answer involves mapping class groups of surfaces, i.e., groups of isotopy classes of diffeomorphisms. We also show that the Picard group of these structures coincides with the group of outer Poisson ...

Journal: :Intelligent Automation & Soft Computing 2005
Ferhat Karaca Omar Alagha Ferruh Ertürk

In this study, Istanbul city was taken as the study area. A new and powerful technique, Artificial Intelligence (AI), an Inductive Learning Algorithm (RULES-3), was used in predicting the future (next 24 hours) sulfur dioxide (SO2) air pollutant on the basis of various meteorological parameters. The goal of this study is to forecast the 24-h average SO2 concentration levels in the urban atmosph...

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