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In Savannakhet province, Laos and Quang Tri province, Vietnam, malaria is still an important health problem and most cases are found in the mountainous, forested border areas where ethnic minority groups live. The objectives of this study were to obtain a better joint understanding of the malaria situation along the border and, on the basis of that, improve(More)
* The geographical designations employed in this document do not imply the expression of any opinion whatsoever on the part of the CITES Secretariat or the United Nations Environment Programme concerning the legal status of any country, territory, or area, or concerning the delimitation of its frontiers or boundaries. The responsibility for the contents of(More)
Prostaglandins (PGs) form a group of physiologically active compounds that are synthesized in vivo by enzymes from several essential fatty acids (FA), the chains of which contain 20 C atoms. PGs of series 2 and 3 are derived from arachidonic (AA) and eicosapentaenoic (EPA) acids, respectively. PGs are autocrine and paracrine mediators with a clearly(More)
Today, corpus plays an important role in development and evaluation language and speech technologies, such as part of speech tagging, parsing, word sense disambiguation, text categorization, named entity classification, information extraction, question answering, structure discovery (clustering), speech recognition and machine translation systems, etc. One(More)
Single-peaked preferences are important throughout social choice theory. In this article,we consider single-peaked preferences over multidimensional binary alternative spaces—that is, alternative spaces of the form {0, 1}n for some integer n ≥ 2. We show that preferences that are single-peaked with respect to a normalized separable base order are(More)
Noise robustness is a challenging problem when automatic speech recognition (ASR) system is deployed in real life applications. This report examines techniques to improve the robustness of ASR systems. Particularly, we focus on a group of model-based noise robust techniques, called vector Taylor series (VTS) method, that adapt the acoustic model of ASR(More)
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