695 research outputs found
Mozambique's Future: Modeling Population and Sustainable Development Challenges
What are the prospects for sustainable development over the next 20 years in Mozambique? Although it looks as if much of the development prospects are determined by such inherently unpredictable events as war, peace, and weather calamities, there are also many changes and patterns which have a long-term stability and which change only slowly over time. For example, socio-demographic changes, such as labor force skills, and population health have a long momentum. These are very important indicators for the economic development potential of a country. Also, although it is impossible to predict a particular year of heavy rains or droughts, there are long time series of weather from which we can calculate the country's vulnerability to single- or multiple-year weather disasters.
To focus our efforts in answering this bold question, we concentrate on four issues: (1) Can poverty be erased in the next 20 years? (2) How will school enrollment lead to higher skills in the labor force by 2020? (3) What role will water play in development, in particular, water provision by rain to rural areas, and infrastructure to cities? (4) And, most importantly, what will be the impacts of the HIV/AIDS pandemic in the next decades
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Findings of the East Africa Humanitarian Climate Risk Management Workshop
The East African humanitarian community is looking for ways to better respond to the challenges presented by climate risks, including climate change, but is struggling to access appropriate and targeted scientific data that can inform their operations. Recent advances in science and technology have produced a variety of new tools for humanitarian organizations working on climate risk management. Humanitarian actors have an enormous opportunity to utilize these tools to inform risk reduction, preparedness and contingency planning, as well as program implementation. Despite such advances, many challenges remain to the practical application of these tools in the humanitarian context. Often times, climate information is too technical or lacks the context necessary for use in humanitarian planning and operations. Thus, climate information must be tailored to specific needs and presented in formats that are readily accessible to these users. In response, the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA), in close collaboration with the International Federation of Red Cross/Red Crescent Societies (IFRC), initiated the development of a 2-day Humanitarian Climate Risk Management Workshop on 23- 24 February 2010. Initiatives that enable interaction can help to bridge the divide between humanitarian practitioners and climate experts; feedback provided by end-users can guide research and development of new prediction technologies and tools, as well as more appropriate packaging of current information. At the same time, humanitarian actors need to evaluate how such information can usefully inform their decision-making at various timescales. The challenge of decision-making under uncertainty must be addressed if climate information is to be used effectively within humanitarian planning, preparedness, and response. This workshop aimed to address such barriers to the use of climate information
Beyond representing orthology relations by trees
Reconstructing the evolutionary past of a family of genes is an important aspect of many genomic studies. To help with this, simple relations on a set of sequences called orthology relations may be employed. In addition to being interesting from a practical point of view they are also attractive from a theoretical perspective in that e.\,g.\,a characterization is known for when such a relation is representable by a certain type of phylogenetic tree. For an orthology relation inferred from real biological data it is however generally too much to hope for that it satisfies that characterization. Rather than trying to correct the data in some way or another which has its own drawbacks, as an alternative, we propose to represent an orthology relation in terms of a structure more general than a phylogenetic tree called a phylogenetic network. To compute such a network in the form of a level-1 representation for , we formalize an orthology relation in terms of the novel concept of a symbolic 3- dissimilarity which is motivated by the biological concept of a ``cluster of orthologous groups'', or COG for short. For such maps which assign symbols rather that real values to elements, we introduce the novel {\sc Network-Popping} algorithm which has several attractive properties. In addition, we characterize an orthology relation on some set that has a level-1 representation in terms of eight natural properties for as well as in terms of level-1 representations of orthology relations on certain subsets of
Solving NP-hard Problems on \textsc{GaTEx} Graphs: Linear-Time Algorithms for Perfect Orderings, Cliques, Colorings, and Independent Sets
The class of lled-ree plainable
() graphs has recently been discovered as a natural
generalization of cographs. Cographs are precisely those graphs that can be
uniquely represented by a rooted tree where the leaves correspond to the
vertices of the graph. As a generalization, graphs are
precisely those that can be uniquely represented by a particular rooted acyclic
network, called a galled-tree.
This paper explores the use of galled-trees to solve combinatorial problems
on graphs that are, in general, NP-hard. We demonstrate that
finding a maximum clique, an optimal vertex coloring, a perfect order, as well
as a maximum independent set in graphs can be efficiently done
in linear time. The key idea behind the linear-time algorithms is to utilize
the galled-trees that explain the graphs as a guide for
computing the respective cliques, colorings, perfect orders, or independent
sets
Resolving Prime Modules: The Structure of Pseudo-cographs and Galled-Tree Explainable Graphs
The modular decomposition of a graph is a natural construction to capture
key features of in terms of a labeled tree whose vertices are
labeled as "series" (), "parallel" () or "prime". However, full
information of is provided by its modular decomposition tree only,
if is a cograph, i.e., does not contain prime modules. In this case,
explains , i.e., if and only if the lowest common
ancestor of and has label "". Pseudo-cographs,
or, more general, GaTEx graphs are graphs that can be explained by labeled
galled-trees, i.e., labeled networks that are obtained from the modular
decomposition tree of by replacing the prime vertices in by
simple labeled cycles. GaTEx graphs can be recognized and labeled galled-trees
that explain these graphs can be constructed in linear time.
In this contribution, we provide a novel characterization of GaTEx graphs in
terms of a set of 25 forbidden induced subgraphs.
This characterization, in turn, allows us to show that GaTEx graphs are closely
related to many other well-known graph classes such as -sparse and
-reducible graphs, weakly-chordal graphs, perfect graphs with perfect
order, comparability and permutation graphs, murky graphs as well as interval
graphs, Meyniel graphs or very strongly-perfect and brittle graphs. Moreover,
we show that every GaTEx graph as twin-width at most 1.Comment: 18 pages, 3 figure
Three-way symbolic tree-maps and ultrametrics
Three-way dissimilarities are a generalization of (two-way) dissimilarities which can be used to indicate the lack of homogeneity or resemblance between any three objects. Such maps have applications in cluster analysis and have been used in areas such as psychology and phylogenetics, where three-way data tables can arise. Special examples of such dissimilarities are three-way tree-metrics and ultrametrics, which arise from leaf-labelled trees with edges labelled by positive real numbers. Here we consider three-way maps which arise from leaf-labelled trees where instead the interior vertices are labelled by an arbitrary set of values. For unrooted trees, we call such maps three-way symbolic tree-maps; for rooted trees, we call them three-way symbolic ultrametrics since they can be considered as a generalization of the (two-way) symbolic ultrametrics of Bocker and Dress. We show that, as with two- and three-way tree-metrics and ultrametrics, three-way symbolic tree-maps and ultrametrics can be characterized via certain k-point conditions. In the unrooted case, our characterization is mathematically equivalent to one presented by Gurvich for a certain class of edge-labelled hypergraphs. We also show that it can be decided whether or not an arbitrary three-way symbolic map is a tree-map or a symbolic ultrametric using a triplet-based approach that relies on the so-called BUILD algorithm for deciding when a set of 3-leaved trees or triplets can be displayed by a single tree. We envisage that our results will be useful in developing new approaches and algorithms for understanding 3-way data, especially within the area of phylogenetics
Potentiation of thrombus instability: a contributory mechanism to the effectiveness of antithrombotic medications
© The Author(s) 2018The stability of an arterial thrombus, determined by its structure and ability to resist endogenous fibrinolysis, is a major determinant of the extent of infarction that results from coronary or cerebrovascular thrombosis. There is ample evidence from both laboratory and clinical studies to suggest that in addition to inhibiting platelet aggregation, antithrombotic medications have shear-dependent effects, potentiating thrombus fragility and/or enhancing endogenous fibrinolysis. Such shear-dependent effects, potentiating the fragility of the growing thrombus and/or enhancing endogenous thrombolytic activity, likely contribute to the clinical effectiveness of such medications. It is not clear how much these effects relate to the measured inhibition of platelet aggregation in response to specific agonists. These effects are observable only with techniques that subject the growing thrombus to arterial flow and shear conditions. The effects of antithrombotic medications on thrombus stability and ways of assessing this are reviewed herein, and it is proposed that thrombus stability could become a new target for pharmacological intervention.Peer reviewedFinal Published versio
Testing foundations of quantum mechanics with photons
The foundational ideas of quantum mechanics continue to give rise to
counterintuitive theories and physical effects that are in conflict with a
classical description of Nature. Experiments with light at the single photon
level have historically been at the forefront of tests of fundamental quantum
theory and new developments in photonics engineering continue to enable new
experiments. Here we review recent photonic experiments to test two
foundational themes in quantum mechanics: wave-particle duality, central to
recent complementarity and delayed-choice experiments; and Bell nonlocality
where recent theoretical and technological advances have allowed all
controversial loopholes to be separately addressed in different photonics
experiments.Comment: 10 pages, 5 figures, published as a Nature Physics Insight review
articl
Network Representation and Modular Decomposition of Combinatorial Structures: A Galled-Tree Perspective
In phylogenetics, reconstructing rooted trees from distances between taxa is
a common task. B\"ocker and Dress generalized this concept by introducing
symbolic dated maps , where distances are
replaced by symbols, and showed that there is a one-to-one correspondence
between symbolic ultrametrics and labeled rooted phylogenetic trees. Many
combinatorial structures fall under the umbrella of symbolic dated maps, such
as 2-dissimilarities, symmetric labeled 2-structures, or edge-colored complete
graphs, and are here referred to as strudigrams. Strudigrams have a unique
decomposition into non-overlapping modules, which can be represented by a
modular decomposition tree (MDT). In the absence of prime modules, strudigrams
are equivalent to symbolic ultrametrics, and the MDT fully captures the
relationships between pairs of vertices in through the
label of their least common ancestor in the MDT. However, in the presence of
prime vertices, this information is generally hidden. To provide this missing
structural information, we aim to locally replace the prime vertices in the MDT
to obtain networks that capture full information about the strudigrams. While
starting with the general framework of prime-vertex replacement networks, we
then focus on a specific type of such networks obtained by replacing prime
vertices with so-called galls, resulting in labeled galled-trees. We introduce
the concept of galled-tree explainable (GATEX) strudigrams, provide their
characterization, and demonstrate that recognizing these structures and
reconstructing the labeled networks that explain them can be achieved in
polynomial time
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