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Biofilm-Developed Microplastics As Vectors of Pollutants in Aquatic Environments.

Environmental Science and Technology, 2021
Microplastics are a big and growing part of global pollution, which has aroused increasing concern in recent years because of their large amount, wide distribution, and adverse effects.
Jianlong Wang, Xuan Guo, J. Xue
semanticscholar   +1 more source

Vectors

Current Protocols in Molecular Biology, 2003
AbstractThis unit presents tables of vectors described throughout the manual, organized by particular function. Individual entries in each table provide figure citations, some specific characteristics, and restriction site data for each vector, as well as sources when available.
openaire   +2 more sources

Vector optimization vs. vectorization

Journal of Parallel and Distributed Computing, 1988
This paper differentiates between vectorization (and also concurrentization) and vector optimization (or concurrency optimization). Vectorization (concurrentization) is the process of translating serial DO (or FOR) loops into vector code for a vector computer (concurrent code for a multiprocessor computer). Vector optimization (concurrency optimization)
openaire   +1 more source

Supersymmetric vector-vector duality

Classical and Quantum Gravity, 1987
Massive self-dual abelian vector fields in 3 dimensions (Euclidean) can be described equivalently either by an action linear in the derivatives, or quadratic with an additional mass term. Here the supersymmetric generalization of this result is considered again in 3-dimensions. Coupling to matter is also discussed.
Karlhede, A.   +3 more
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Psyllid Vectors

2019
‘Candidatus Phytoplasma’ species are mostly transmitted from plant to plant by phloem feeding hemipterans, primarily leafhoppers (Cicadellidae) and planthoppers (Fulgoroidea) (Hemiptera, Auchenorrhyncha). However, there is one group of phytoplasmas, the 16SrX or apple proliferation group, whose members are transmitted by psyllid vectors of the ...
Jarausch B.   +4 more
openaire   +3 more sources

Spoken Language Recognition using X-vectors

The Speaker and Language Recognition Workshop, 2018
In this paper, we apply x-vectors to the task of spoken language recognition. This framework consists of a deep neural network that maps sequences of speech features to fixed-dimensional embeddings, called x-vectors. Long-term language characteristics are
David Snyder   +5 more
semanticscholar   +1 more source

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