7,260 research outputs found
Estimating the causal effect of a time-varying treatment on time-to-event using structural nested failure time models
In this paper we review an approach to estimating the causal effect of a
time-varying treatment on time to some event of interest. This approach is
designed for the situation where the treatment may have been repeatedly adapted
to patient characteristics, which themselves may also be time-dependent. In
this situation the effect of the treatment cannot simply be estimated by
conditioning on the patient characteristics, as these may themselves be
indicators of the treatment effect. This so-called time-dependent confounding
is typical in observational studies. We discuss a new class of failure time
models, structural nested failure time models, which can be used to estimate
the causal effect of a time-varying treatment, and present methods for
estimating and testing the parameters of these models
Groundwater dependence and drought within the southern African development community
A groundwater situation analysis of the SADC region has been undertaken as part of the World Bank GEF Programme as a basis for ensuring equitable use of groundwater resources, particularly during periods of drought, both for human needs and for sustaining ecosystems. Much of the groundwater in the region occurs in weathered crystalline rocks suitable for dispersed supply to rural communities, although there are several aquifers capable of sustaining urban demand that contribute to the supply of several major cities and towns. A number of SADC Member States, such as Botswana, Namibia and South Africa, are very dependent on groundwater, whereas the Democratic Republic of Congo is least dependent. Groundwater dependence and groundwater demand, together providing an indication of drought vulnerability, have been assessed from the availability and coverage of groundwater data, but it is very apparent that reliable and comprehensive groundwater data are major deficiencies throughout the SADC region. Few attempts have thus been made to calculate renewable groundwater resource volumes or develop optimum use of groundwater, despite the fact that susceptibility of many Member States to drought requires them to consider mitigation strategies to lessen the hardships imposed largely on their rural population. Such strategy requires long-term intervention and not short-term emergency responses, a process that is directly related to availability of comprehensive groundwater datasets. Considerable effort in groundwater assessment and monitoring and the accumulation, evaluation and dissemination of essential datasets will thus be required to maintain population livelihoods in future years when water supply is projected to be in deficit in over half of the SADC Member States
Betti number signatures of homogeneous Poisson point processes
The Betti numbers are fundamental topological quantities that describe the
k-dimensional connectivity of an object: B_0 is the number of connected
components and B_k effectively counts the number of k-dimensional holes.
Although they are appealing natural descriptors of shape, the higher-order
Betti numbers are more difficult to compute than other measures and so have not
previously been studied per se in the context of stochastic geometry or
statistical physics.
As a mathematically tractable model, we consider the expected Betti numbers
per unit volume of Poisson-centred spheres with radius alpha. We present
results from simulations and derive analytic expressions for the low intensity,
small radius limits of Betti numbers in one, two, and three dimensions. The
algorithms and analysis depend on alpha-shapes, a construction from
computational geometry that deserves to be more widely known in the physics
community.Comment: Submitted to PRE. 11 pages, 10 figure
Supersonic wings with significant leading-edge thrust at cruise
Experimental/theoretical correlations are presented which show that significant levels of leading edge thrust are possible at supersonic speeds for certain planforms which match the theoretical thrust distribution potential with the supporting airfoil geometry. The analytical process employed spanwise distribution of both it and/or that component of full theoretical thrust which acts as vortex lift. Significantly improved aerodynamic performance in the moderate supersonic speed regime is indicated
Computational Topology Techniques for Characterizing Time-Series Data
Topological data analysis (TDA), while abstract, allows a characterization of
time-series data obtained from nonlinear and complex dynamical systems. Though
it is surprising that such an abstract measure of structure - counting pieces
and holes - could be useful for real-world data, TDA lets us compare different
systems, and even do membership testing or change-point detection. However, TDA
is computationally expensive and involves a number of free parameters. This
complexity can be obviated by coarse-graining, using a construct called the
witness complex. The parametric dependence gives rise to the concept of
persistent homology: how shape changes with scale. Its results allow us to
distinguish time-series data from different systems - e.g., the same note
played on different musical instruments.Comment: 12 pages, 6 Figures, 1 Table, The Sixteenth International Symposium
on Intelligent Data Analysis (IDA 2017
Pulsed pumping of a Bose-Einstein condensate
In this work, we examine a system for coherent transfer of atoms into a
Bose-Einstein condensate. We utilize two spatially separate Bose-Einstein
condensates in different hyperfine ground states held in the same dc magnetic
trap. By means of a pulsed transfer of atoms, we are able to show a clear
resonance in the timing of the transfer, both in temperature and number, from
which we draw conclusions about the underlying physical process. The results
are discussed in the context of the recently demonstrated pumped atom laser.Comment: 5 pages, 5 figures, published in Physical Review
Tactile Interactions with a Humanoid Robot : Novel Play Scenario Implementations with Children with Autism
Acknowledgments: This work has been partially supported by the European Commission under contract number FP7-231500-ROBOSKIN. Open Access: This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.The work presented in this paper was part of our investigation in the ROBOSKIN project. The project has developed new robot capabilities based on the tactile feedback provided by novel robotic skin, with the aim to provide cognitive mechanisms to improve human-robot interaction capabilities. This article presents two novel tactile play scenarios developed for robot-assisted play for children with autism. The play scenarios were developed against specific educational and therapeutic objectives that were discussed with teachers and therapists. These objectives were classified with reference to the ICF-CY, the International Classification of Functioning – version for Children and Youth. The article presents a detailed description of the play scenarios, and case study examples of their implementation in HRI studies with children with autism and the humanoid robot KASPAR.Peer reviewedFinal Published versio
Rb-85 tunable-interaction Bose-Einstein condensate machine
We describe our experimental setup for creating stable Bose-Einstein
condensates of Rb-85 with tunable interparticle interactions. We use
sympathetic cooling with Rb-87 in two stages, initially in a tight
Ioffe-Pritchard magnetic trap and subsequently in a weak, large-volume crossed
optical dipole trap, using the 155 G Feshbach resonance to manipulate the
elastic and inelastic scattering properties of the Rb-85 atoms. Typical Rb-85
condensates contain 4 x 10^4 atoms with a scattering length of a=+200a_0. Our
minimalist apparatus is well-suited to experiments on dual-species and spinor
Rb condensates, and has several simplifications over the Rb-85 BEC machine at
JILA (Papp, 2007; Papp and Wieman, 2006), which we discuss at the end of this
article.Comment: 10 pages, 8 figure
Pseudorehearsal in value function approximation
Catastrophic forgetting is of special importance in reinforcement learning,
as the data distribution is generally non-stationary over time. We study and
compare several pseudorehearsal approaches for Q-learning with function
approximation in a pole balancing task. We have found that pseudorehearsal
seems to assist learning even in such very simple problems, given proper
initialization of the rehearsal parameters
Southern African development community regional situation analysis
The Southern African Development Community (SADC) groups fourteen sovereign states in
the southern and eastern Africa region for the main purpose of fostering co-operation for
mutual benefit from development of the resources of the whole region. The region accounts
for almost 70% gross domestic product of sub-Saharan Africa and is home to almost a third of
its people. In the context of water resources, conditions in the SADC region are highly
variable with respect to the relative reliance of each of the Member States on surface or
groundwater sources. However, studies already indicate that water resources will be scarce in
9 of the 14 Member States within the next 10 to 30 years, most especially in the southern and
eastern portion of the SADC region. Clearly, water resource conservation and comprehensive
national and regional planning is going to be crucial.
SADC recognised the critical importance of water to regional integration and economic
development and established its own Water Sector in 1996. A SADC Protocol on Shared
Watercourse Systems was adopted to set the rules for joint management of resources. A
Regional Strategic Action Plan for Integrated Water Resource Development and Management
has been compiled; this is being implemented to address key water management issues,
concerning both surface water bodies and aquifers (groundwater).
The region is also characterised by rapid population growth. Extremes of climate bring
frequent drought and substantial flood events that impact on rural populations as well as
national productivity. The region is already highly dependent on groundwater for rural water
supply, and it is clear that groundwater is a key element in the alleviation of the effects of
drought on rural communities.
However, policy responses to drought have, in the past, been based on short-term crisis
reactions, which have generally proved to be inefficient or ineffective. To address this
undesirable situation, proactive, sustainable and integrated management of groundwater
resources needs to be instigated, but with due sympathy to the requirements of ecosystems
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