1,291 research outputs found
Cambios florísticos en comunidades de malezas : un marco conceptual basado en reglas de ensamblaje
150-158Agriculture provides interesting situations to study ecological succession in weed communities. There is empirical evidence of floristic shifts in weed communities due to both environmental and technological changes, which have been interpreted in the light of succession theory. In turn, the assembly rules framework has proved to be useful to describe and predict patterns of change in communities. The aim of this paper is to present the application of an approach based on community assembly rules to study floristic changes in weed communities. Assembly rules are associated with specific factors that explain the patterns observed in a community. Assembly rules operate as a filter restricting the number of species of the regional pool that occur in local communities. The regional species pool is defined by means of a hierarchical classification as three nested spatial domains: geographic, landscape and habitat type. At large spatial scales (1000-10000 km 2), the species pool is determined by the factors regulating the rates of both speciation and extinction and plant migrations between distant regions. Landscape complexity effects are higher at regional level. While dispersion increases its influence in mosaics of patches (100 m 2-10 ha), habitat heterogeneity is more important in smaller patches (1-1000 m 2-1 ha). In small plots (<10 m 2), plant communities are modulated by biotic interactions, soil fertility, abiotic stress and microdisturbances. Species from the regional pool are filtering out by the limitations to dispersal within the region and the restrictions imposed by both the abiotic environment and biotic interaction at local scale. Community assembly rules provide a flexible framework for building descriptive models of successional trajectories in weed communities in response to changes in agricultural systems
Cambios florísticos en comunidades de malezas : un marco conceptual basado en reglas de ensamblaje
150-158Agriculture provides interesting situations to study ecological succession in weed communities. There is empirical evidence of floristic shifts in weed communities due to both environmental and technological changes, which have been interpreted in the light of succession theory. In turn, the assembly rules framework has proved to be useful to describe and predict patterns of change in communities. The aim of this paper is to present the application of an approach based on community assembly rules to study floristic changes in weed communities. Assembly rules are associated with specific factors that explain the patterns observed in a community. Assembly rules operate as a filter restricting the number of species of the regional pool that occur in local communities. The regional species pool is defined by means of a hierarchical classification as three nested spatial domains: geographic, landscape and habitat type. At large spatial scales (1000-10000 km 2), the species pool is determined by the factors regulating the rates of both speciation and extinction and plant migrations between distant regions. Landscape complexity effects are higher at regional level. While dispersion increases its influence in mosaics of patches (100 m 2-10 ha), habitat heterogeneity is more important in smaller patches (1-1000 m 2-1 ha). In small plots (<10 m 2), plant communities are modulated by biotic interactions, soil fertility, abiotic stress and microdisturbances. Species from the regional pool are filtering out by the limitations to dispersal within the region and the restrictions imposed by both the abiotic environment and biotic interaction at local scale. Community assembly rules provide a flexible framework for building descriptive models of successional trajectories in weed communities in response to changes in agricultural systems
Magnetic anisotropy of individual maghemite mesocrystals
Interest in creating magnetic metamaterials has led to methods for growing superstructures of magnetic nanoparticles. Mesoscopic crystals of maghemite (gamma-Fe2O3) nanoparticles can be arranged into highly ordered body-centered tetragonal lattices of up to a few micrometers. Although measurements on disordered ensembles have been carried out, determining the magnetic properties of individual mesoscopic crystals is challenging due to their small total magnetic moment. Here, we overcome these challenges by utilizing sensitive dynamic cantilever magnetometry to study individual micrometer-sized gamma-Fe2O3 mesocrystals. These measurements reveal an unambiguous cubic anisotropy, resulting from the crystalline anisotropy of the constituent maghemite nanoparticles and their alignment within the mesoscopic lattice. The signatures of anisotropy and its origins come to light because we combine the self-assembly of highly ordered mesocrystals with the ability to resolve their individual magnetism. This combination is promising for future studies of the magnetic anisotropy of other nanoparticles, which are too small to investigate individually
Implicitly Constrained Semi-Supervised Least Squares Classification
We introduce a novel semi-supervised version of the least squares classifier.
This implicitly constrained least squares (ICLS) classifier minimizes the
squared loss on the labeled data among the set of parameters implied by all
possible labelings of the unlabeled data. Unlike other discriminative
semi-supervised methods, our approach does not introduce explicit additional
assumptions into the objective function, but leverages implicit assumptions
already present in the choice of the supervised least squares classifier. We
show this approach can be formulated as a quadratic programming problem and its
solution can be found using a simple gradient descent procedure. We prove that,
in a certain way, our method never leads to performance worse than the
supervised classifier. Experimental results corroborate this theoretical result
in the multidimensional case on benchmark datasets, also in terms of the error
rate.Comment: 12 pages, 2 figures, 1 table. The Fourteenth International Symposium
on Intelligent Data Analysis (2015), Saint-Etienne, Franc
Test of the Running of in Decays
The decay rate into hadrons of invariant mass smaller than
can be calculated in QCD assuming global
quark--hadron duality. It is shown that this assumption holds for
~GeV. From measurements of the hadronic mass distribution, the
running coupling constant is extracted in the range
0.7~GeV. At , the result is
. The running of is in good
agreement with the QCD prediction.Comment: 9 pages, 3 figures appended; shortened version with new figures, to
appear in Physical Review Letters (April 1996
Harnessing nuclear spin polarization fluctuations in a semiconductor nanowire
Soon after the first measurements of nuclear magnetic resonance (NMR) in a
condensed matter system, Bloch predicted the presence of statistical
fluctuations proportional to in the polarization of an ensemble of
spins. First observed by Sleator et al., so-called "spin noise" has
recently emerged as a critical ingredient in nanometer-scale magnetic resonance
imaging (nanoMRI). This prominence is a direct result of MRI resolution
improving to better than 100 nm^3, a size-scale in which statistical spin
fluctuations begin to dominate the polarization dynamics. We demonstrate a
technique that creates spin order in nanometer-scale ensembles of nuclear spins
by harnessing these fluctuations to produce polarizations both larger and
narrower than the natural thermal distribution. We focus on ensembles
containing ~10^6 phosphorus and hydrogen spins associated with single InP and
GaP nanowires (NWs) and their hydrogen-containing adsorbate layers. We monitor,
control, and capture fluctuations in the ensemble's spin polarization in
real-time and store them for extended periods. This selective capture of large
polarization fluctuations may provide a route for enhancing the weak magnetic
signals produced by nanometer-scale volumes of nuclear spins. The scheme may
also prove useful for initializing the nuclear hyperfine field of electron spin
qubits in the solid-state.Comment: 18 pages, 5 figure
Testing QCD with Hypothetical Tau Leptons
We construct new tests of perturbative QCD by considering a hypothetical tau
lepton of arbitrary mass, which decays hadronically through the electromagnetic
current. We can explicitly compute its hadronic width ratio directly as an
integral over the e^+ e^- annihilation cross section ratio, R_{e^+e^-}.
Furthermore, we can design a set of commensurate scale relations and
perturbative QCD tests by varying the weight function away from the form
associated with the V-A decay of the physical tau. This method allows the wide
range of the R_{e^+e^-} data to be used as a probe of perturbative QCD.Comment: 4 pages, 4 figure
The role of dose-dense (DD) adjuvant chemotherapy (CT) in HER2-positive (HER2+) early breast cancer (BC) patients (pts) before and after the introduction of trastuzumab (T): Exploratory analysis of the GIM2 trial
n/
Robustness and Generalization
We derive generalization bounds for learning algorithms based on their
robustness: the property that if a testing sample is "similar" to a training
sample, then the testing error is close to the training error. This provides a
novel approach, different from the complexity or stability arguments, to study
generalization of learning algorithms. We further show that a weak notion of
robustness is both sufficient and necessary for generalizability, which implies
that robustness is a fundamental property for learning algorithms to work
The Adler Function for Light Quarks in Analytic Perturbation Theory
The method of analytic perturbation theory, which avoids the problem of
ghost-pole type singularities and gives a self-consistent description of both
spacelike and timelike regions, is applied to describe the "light" Adler
function corresponding to the non-strange vector channel of the inclusive decay
of the lepton. The role of threshold effects is investigated. The
behavior of the quark-antiquark system near threshold is described by using a
new relativistic resummation factor. It is shown that the method proposed leads
to good agreement with the ``experimental'' Adler function down to the lowest
energy scale.Comment: 13 pages, one ps figure, REVTe
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