Moisture supply in the Pamir Mountains of Central Asia significantly determines the hydrological cycle and, as a result, impacts the local communities via hazards or socioeconomic aspects, such as hydropower, agriculture and infrastructure. Scarce and unreliable in situ data prevent an accurate assessment of moisture supply, as well as its temporal and spatial variability in this strongly-heter...

Traditional on-site methods for mapping and monitoring surface water extent are prohibitively expensive at a national scale within Canada. Despite successful cost-sharing programs between the provinces and the federal government, an extensive number of water features within the country remain unmonitored. Particularly difficult to monitor are the potholes in the Canadian Prairie region, most of...

Maier et al. (2010) introduced the relational causal model (RCM) for representing and inferring causal relationships in relational data. A lifted representation, called abstract ground graph (AGG), plays a central role in reasoning with and learning of RCM. The correctness of the algorithm proposed by Maier et al. (2013a) for learning RCM from data relies on the soundness and completeness of AG...

In this work we present a prototype system aimed at extracting contents from online communities discussions and publishing them through aggregated RSS feeds. The major foreseeable impact of this project to the Community Informatics field will be helping people to manage the complexity intrinsic in dealing with the huge amount of dynamic information produced by communities, in particular, keepin...

We present a mixed integer programming (MIP) model to solve the problems of (i) selecting an airport’s optimal sequence of runway configurations and (ii) determining the optimal balance of arrivals and departures to be served at any moment. These problems, the runway configuration management (RCM) problem and the arrival/departure runway balancing (ADRB) problem, respectively, are of critical i...

An asymmetric route for the synthesis of highly functionalized 2,3-epoxy-syn-1,4cyclohexane diol derivatives present in some polyketide natural products has been developed. The key step involves RCM of an appropriately constructed 1,7-dienol derived from D-mannitol to cyclohexane1,4-diol followed by its stereoselective epoxidation.

A rapid compression machine (RCM) has been designed and built for investigating the autoignition characteristics of bio-derived jet and diesel fuels. The RCM has been designed with a particular emphasis on versatility, so that non-volatile fuels may be tested in a premixed gas phase, as a fuel spray, or as an aerosol in an oxidizing bath gas. A blend of these test approaches provides insight in...

Detailed information on the land cover types present and the horizontal position of the land–water interface is needed for sensitive coastal ecosystems throughout the Arctic, both to establish baselines against which the impacts of climate change can be assessed and to inform response operations in the event of environmental emergencies such as oil spills. Previous work has demonstrated potenti...

Many applications call for learning causal models from relational data. We investigate Relational Causal Models (RCM) under relational counterparts of adjacency-faithfulness and orientation-faithfulness, yielding a simple approach to identifying a subset of relational d-separation queries needed for determining the structure of an RCM using d-separation against an unrolled DAG representation of...

This brief scoping of the continuity of care evidence base was commissioned by the RCM. The briefing paper aims to outline the evidence regarding the impact of models of continuity of care with a focus on evidence from the UK to inform NHS England Guidelines for Maternity Commissioning. This review will briefly assess the impact of health care delivery models which offer increased experiences o...