17,324 research outputs found

    Malaria : Africa's silent tsunami

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    French version available in IDRC Digital Library: Paludisme, le tsunami silencieux d'Afriqu

    Spartan Daily, February 19, 2015

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    Volume 144, Issue 12https://scholarworks.sjsu.edu/spartandaily/2099/thumbnail.jp

    Film Review of “Robot & Frank”

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    Development of a fusion adaptive algorithm for marine debris detection within the post-Sandy restoration framework

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    Recognition of marine debris represent a difficult task due to the extreme variability of the marine environment, the possible targets, and the variable skill levels of human operators. The range of potential targets is much wider than similar fields of research such as mine hunting, localization of unexploded ordnance or pipeline detection. In order to address this additional complexity, an adaptive algorithm is being developing that appropriately responds to changes in the environment, and context. The preliminary step is to properly geometrically and radiometrically correct the collected data. Then, the core engine manages the fusion of a set of statistically- and physically-based algorithms, working at different levels (swath, beam, snippet, and pixel) and using both predictive modeling (that is, a high-frequency acoustic backscatter model) and phenomenological (e.g., digital image processing techniques) approaches. The expected outcome is the reduction of inter-algorithmic cross-correlation and, thus, the probability of false alarm. At this early stage, we provide a proof of concept showing outcomes from algorithms that dynamically adapt themselves to the depth and average backscatter level met in the surveyed environment, targeting marine debris (modeled as objects of about 1-m size). The project relies on a modular software library, called Matador (Marine Target Detection and Object Recognition)

    Global Seismic Nowcasting With Shannon Information Entropy.

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    Seismic nowcasting uses counts of small earthquakes as proxy data to estimate the current dynamical state of an earthquake fault system. The result is an earthquake potential score that characterizes the current state of progress of a defined geographic region through its nominal earthquake "cycle." The count of small earthquakes since the last large earthquake is the natural time that has elapsed since the last large earthquake (Varotsos et al., 2006, https://doi.org/10.1103/PhysRevE.74.021123). In addition to natural time, earthquake sequences can also be analyzed using Shannon information entropy ("information"), an idea that was pioneered by Shannon (1948, https://doi.org/10.1002/j.1538-7305.1948.tb01338.x). As a first step to add seismic information entropy into the nowcasting method, we incorporate magnitude information into the natural time counts by using event self-information. We find in this first application of seismic information entropy that the earthquake potential score values are similar to the values using only natural time. However, other characteristics of earthquake sequences, including the interevent time intervals, or the departure of higher magnitude events from the magnitude-frequency scaling line, may contain additional information

    Disaster Risk Reduction in the Built Environment in Sri Lanka- An overview

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    Natural disasters have long-term implications on sustainable development. They mainly destroy the built environment thereby hindering economic and social development, and causing environment degradation. Reducing the risk of natural disasters within the built environment is therefore critical for ensuring sustainable development. The paper in this context, aims to assess the current state of disaster risk reduction in the built environment in Sri Lanka. Empirical data was collected employing semi-structured in-depth interviews which were conducted with a group of professionals who were involved in disaster risk reduction in the built environment in Sri Lanka. The data was analysed following thematic analysis. The paper reveals the current state of disaster risk reduction in the built environment requires to be improved to achieve a satisfactory level of success whilst highlighting a number of barriers that hinder the desired progress. Deficient funds and weak regulatory framework are identified as major barriers for successful implementation. Central and local government authorities are identified as the primarily responsible parties for disaster risk reduction in the built environment in Sri Lanka in the paper. The paper further presents various recommendations on how to improve the current situation
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