445 research outputs found
Updated version of final design and of the architecture of SEAMLESS-IF
Agricultural and Food Policy, Environmental Economics and Policy, Farm Management, Land Economics/Use, Livestock Production/Industries,
On Micropolar Elastic Foundations
The modelling of heterogeneous and architected materials poses a significant
challenge, demanding advanced homogenisation techniques. However, the
complexity of this task can be considerably simplified through the application
of micropolar elasticity. Conversely, elastic foundation theory is widely
employed in fracture mechanics and the analysis of delamination propagation in
composite materials. This study aims to amalgamate these two frameworks,
enhancing the elastic foundation theory to accommodate materials exhibiting
micropolar behaviour. Specifically, we present a novel theory of elastic
foundation for micropolar materials, employing stress potentials formulation
and a unique normalisation approach. Closed-form solutions are derived for
stress and couple stress reactions inherent in such materials, along with the
associated restoring stiffness. The validity of the proposed theory is
established through verification using the double cantilever beam
configuration. Concluding our study, we elucidate the benefits and limitations
of the developed theory by quantifying the derived parameters for materials
known to exhibit micropolar behaviour. This integration of micropolar
elasticity into the elastic foundation theory not only enhances our
understanding of material responses but also provides a versatile framework for
the analysis of heterogeneous materials in various engineering applications
Five-Torsion in the Homology of the Matching Complex on 14 Vertices
J. L. Andersen proved that there is 5-torsion in the bottom nonvanishing
homology group of the simplicial complex of graphs of degree at most two on
seven vertices. We use this result to demonstrate that there is 5-torsion also
in the bottom nonvanishing homology group of the matching complex on
14 vertices. Combining our observation with results due to Bouc and to
Shareshian and Wachs, we conclude that the case is exceptional; for all
other , the torsion subgroup of the bottom nonvanishing homology group has
exponent three or is zero. The possibility remains that there is other torsion
than 3-torsion in higher-degree homology groups of when and .Comment: 11 page
Lyashko-Looijenga morphisms and submaximal factorisations of a Coxeter element
When W is a finite reflection group, the noncrossing partition lattice NCP_W
of type W is a rich combinatorial object, extending the notion of noncrossing
partitions of an n-gon. A formula (for which the only known proofs are
case-by-case) expresses the number of multichains of a given length in NCP_W as
a generalised Fuss-Catalan number, depending on the invariant degrees of W. We
describe how to understand some specifications of this formula in a case-free
way, using an interpretation of the chains of NCP_W as fibers of a
Lyashko-Looijenga covering (LL), constructed from the geometry of the
discriminant hypersurface of W. We study algebraically the map LL, describing
the factorisations of its discriminant and its Jacobian. As byproducts, we
generalise a formula stated by K. Saito for real reflection groups, and we
deduce new enumeration formulas for certain factorisations of a Coxeter element
of W.Comment: 18 pages. Version 2 : corrected typos and improved presentation.
Version 3 : corrected typos, added illustrated example. To appear in Journal
of Algebraic Combinatoric
Improving predictive performance on survival in dairy cattle using an ensemble learning approach
Cow survival is a complex trait that combines traits like milk production, fertility, health and environmental factors such as farm management. This complexity makes survival difficult to predict accurately. This is probably the reason why few studies attempted to address this problem and no studies are published that use ensemble methods for this purpose. We explored if we could improve prediction of cow survival to second lactation, when predicted at five different moments in a cow's life, by combining the predictions of multiple (weak) methods in an ensemble method. We tested four ensemble methods: majority voting rule, multiple logistic regression, random forest and naive Bayes. Precision, recall, balanced accuracy, area under the curve (AUC) and gains in proportion of surviving cows in a scenario where the best 50% were selected were used to evaluate the ensemble model performance. We also calculated correlations between the ensemble models and obtained McNemar's test statistics. We compared the performance of the ensemble methods against those of the individual methods. We also tested if there was a difference in performance metrics when continuous (from 0 to 1) and binary (0 or 1) prediction outcomes were used. In general, using continuous prediction output resulted in higher performance metrics than binary ones. AUCs for models ranged from 0.561 to 0.731, with generally increasing performance at moments later in life. Precision, AUC and balanced accuracy values improved significantly for the naive Bayes and multiple logistic regression ensembles in at least one data set, although performance metrics did remain low overall. The multiple logistic regression ensemble method resulted in equal or better precision, AUC, balanced accuracy and proportion of animals surviving on all datasets and was significantly different from the other ensembles in three out of five moments. The random forest ensemble method resulted in the least significant improvement over the individual methods
Crystal structure of a poxvirus-like zalpha domain from cyprinid herpesvirus 3
Zalpha domains are a subfamily of the winged helix-turn-helix domains sharing the unique ability to recognize CpG repeats in the left-handed Z-DNA conformation. In vertebrates, domains of this family are found exclusively in proteins that detect foreign nucleic acids and activate components of the antiviral interferon response. Moreover, poxviruses encode the Zalpha domain-containing protein E3L, a well-studied and potent inhibitor of interferon response. Here we describe a herpesvirus Zalpha-domain-containing protein (ORF112) from cyprinid herpesvirus 3. We demonstrate that ORF112 also binds CpG repeats in the left-handed conformation, and moreover, its structure at 1.75 Ă… reveals the Zalpha fold found in ADAR1, DAI, PKZ, and E3L. Unlike other Zalpha domains, however, ORF112 forms a dimer through a unique domain-swapping mechanism. Thus, ORF112 may be considered a new member of the Z-domain family having DNA binding properties similar to those of the poxvirus E3L inhibitor of interferon response.FCT PhD fellowships: (SFRH/BPD/71629/2010, SFRH/BD/51626/2011), MX-1428 BAG program
The long-term X-ray variability properties of AGN in the Lockman Hole region
We present the results from a detailed X-ray variability analysis of 66 AGN
in the Lockman Hole, which have optical spectroscopic identifications. We
compare, quantitatively, their variability properties with the properties of
local AGN, and we study the "variability-luminosity" relation as a function of
redshift, and the "variability-redshift" relation in two luminosity bins. We
use archival data from the last 10 XMM observations of the Lockman Hole field
to extract light curves in the rest frame, 2-10 keV band. We use the
"normalized excess variance" to quantify the variability amplitude. Using the
latest results regarding the AGN power spectral shape and its dependence on
black hole mass and accretion rate, we are able to compute model
"variability-luminosity" curves, which we compare with the relations we
observe. When we consider all the sources in our sample, we find that their
variability amplitude decreases with increasing redshift and luminosity. These
global anti-correlations are less pronounced when we split the objects in
various luminosity and redshift bins. We do not find a significant correlation
between variability amplitude and spectral slope. The "variability-luminosity"
relation that we detect has a larger amplitude when compared to that of local
AGN. We also find that, at a given luminosity, the variability amplitude
increases with redshift up to z~1, and then stays roughly constant. Our results
imply that the AGN X-ray mechanism operates in the same way at all redshifts.
Among objects with the same luminosity in our sample, the black hole mass
decreases and the accretion rate increases with larger redshift.Comment: 11 pages, 5 figures, accepted for publication in A&
Observing superluminous supernovae and long gamma ray bursts as potential birthplaces of repeating fast radio bursts
Superluminous supernovae (SLSNe) and long gamma ray bursts (LGRBs) have been
proposed as progenitors of repeating Fast Radio Bursts (FRBs). In this
scenario, bursts originate from the interaction between a young magnetar and
its surrounding supernova remnant (SNR). Such a model could explain the
repeating, apparently non-Poissonian nature of FRB121102, which appears to
display quiescent and active phases. This bursting behaviour is better
explained with a Weibull distribution, which includes parametrisation for
clustering. We observed 10 SLSNe/LGRBs for 63 hours, looking for repeating FRBs
with the Effelsberg-100 m radio telescope, but have not detected any bursts. We
scale the burst rate of FRB121102 to an FRB121102-like source inhabiting each
of our observed targets, and compare this rate to our upper burst rate limit on
a source by source basis. By adopting a fiducial beaming fraction of 0.6, we
obtain 99.99\% and 83.4\% probabilities that at least one, and at least half of
our observed sources are beamed towards us respectively. One of our SLSN
targets, PTF10hgi, is coincident with a persistent radio source, making it a
possible analogue to FRB121102. We performed further observations on this
source using the Effelsberg-100~m and Parkes-64~m radio telescopes. Assuming
that PTF10hgi contains an FRB121102-like source, the probabilities of not
detecting any bursts from a Weibull distribution during our observations are
14\% and 16\% for Effelsberg and Parkes respectively. We conclude by showing
that a survey of many short observations increases burst detection probability
for a source with Weibull distributed bursting activity.Comment: 11 pages, 5 figure
RNA editing signature during myeloid leukemia cell differentiation
Adenosine deaminases acting on RNA (ADARs) are key proteins for hematopoietic stem cell self-renewal and for survival of differentiating progenitor cells. However, their specific role in myeloid cell maturation has been poorly investigated. Here we show that ADAR1 is present at basal level in the primary myeloid leukemia cells obtained from patients at diagnosis as well as in myeloid U-937 and THP1 cell lines and its expression correlates with the editing levels. Upon phorbol-myristate acetate or Vitamin D3/granulocyte macrophage colony-stimulating factor (GM-CSF)-driven differentiation, both ADAR1 and ADAR2 enzymes are upregulated, with a concomitant global increase of A-to-I RNA editing. ADAR1 silencing caused an editing decrease at specific ADAR1 target genes, without, however, interfering with cell differentiation or with ADAR2 activity. Remarkably, ADAR2 is absent in the undifferentiated cell stage, due to its elimination through the ubiquitin–proteasome pathway, being strongly upregulated at the end of the differentiation process. Of note, peripheral blood monocytes display editing events at the selected targets similar to those found in differentiated cell lines. Taken together, the data indicate that ADAR enzymes play important and distinct roles in myeloid cells
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