6,791,400 research outputs found

    The critical importance of early grade reading and assessment

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    Working paper education sector analytical and capacity development partnership contains information about the critical importance of early grade reading and assessment with sub-sections as the importance of early grade reading, the science of reading, acquiring the skills-what should we expect?, early grade reading assessment, EGRA in Indonesia, and how can early grade literacy be improved

    LSC Capacity Building Fund: Final report

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    Intrinsic Capacity

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    Every channel can be expressed as a convex combination of deterministic channels with each deterministic channel corresponding to one particular intrinsic state. Such convex combinations are in general not unique, each giving rise to a specific intrinsic-state distribution. In this paper we study the maximum and the minimum capacities of a channel when the realization of its intrinsic state is causally available at the encoder and/or the decoder. Several conclusive results are obtained for binary-input channels and binary-output channels. Byproducts of our investigation include a generalization of the Birkhoff-von Neumann theorem and a condition on the uselessness of causal state information at the encoder.Comment: v0.6.3.677d35, 28 pages, 5 figures, submitted for publication, to be presented in part at ISIT 201

    Newsletter analytical and capacity development partnership (ACDP), June 2015

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    The newsletter ACDP have information about development of quality assurance system for early childhood education, overview of the Islamic education sub-sector in Indonesia, improving teacher workforce planning in Aceh, and evaluation of ict in education in Papua Province

    Embedding mutually supportive implementation of the Plant Treaty and the Nagoya Protocol in the context of broader national policy goals: A Workshop for National Teams of Policy Actors, 16th – 20th November 2015

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    This report provides highlights from a workshop entitled “Embedding mutually supportive implementation of the Plant Treaty and the Nagoya Protocol in the context of broader national policy goals. A workshop for national teams of policy actors”. The workshop brought together eleven national teams comprised of National Focal Points for the Nagoya Protocol, the Plant Treaty and the GEF and representatives of lead national agencies dealing with climate change adaptation and agriculture and national finance and planning authorities. As the title of the workshop suggests, the participants examined options to embed the implementation of the Nagoya Protocol and the Plant Treaty in national programmess and strategies to promote climate change adaptation, poverty alleviation, food security and conservation. It was organized by the ABS Capacity Development Initiative and Bioversity International in cooperation with the African Union Commission and the Secretariats of the Convention on Biological Diversity and the International Treaty on Plant Genetic Resources for Food and Agriculture, held at the International Livestock Research Institute, Addis Ababa, Ethiopia, 16th – 20th November 2015

    On Network Coding Capacity - Matroidal Networks and Network Capacity Regions

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    One fundamental problem in the field of network coding is to determine the network coding capacity of networks under various network coding schemes. In this thesis, we address the problem with two approaches: matroidal networks and capacity regions. In our matroidal approach, we prove the converse of the theorem which states that, if a network is scalar-linearly solvable then it is a matroidal network associated with a representable matroid over a finite field. As a consequence, we obtain a correspondence between scalar-linearly solvable networks and representable matroids over finite fields in the framework of matroidal networks. We prove a theorem about the scalar-linear solvability of networks and field characteristics. We provide a method for generating scalar-linearly solvable networks that are potentially different from the networks that we already know are scalar-linearly solvable. In our capacity region approach, we define a multi-dimensional object, called the network capacity region, associated with networks that is analogous to the rate regions in information theory. For the network routing capacity region, we show that the region is a computable rational polytope and provide exact algorithms and approximation heuristics for computing the region. For the network linear coding capacity region, we construct a computable rational polytope, with respect to a given finite field, that inner bounds the linear coding capacity region and provide exact algorithms and approximation heuristics for computing the polytope. The exact algorithms and approximation heuristics we present are not polynomial time schemes and may depend on the output size.Comment: Master of Engineering Thesis, MIT, September 2010, 70 pages, 10 figure
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