130 research outputs found

    Measuring the poverty impact of ACIAR projects: a broad framework

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    This report sets out some broad ideas about how poverty evaluation could be conducted for ACIAR research projects. As with good benefit–cost analysis, there are good practices that need to be observed when undertaking poverty analysis. While poverty is a broad concept, and can be addressed through many means, these need to be grounded in some common understanding of the economics of poverty. This report is concerned mostly with quantitative evaluation, in the same sense that current ACIAR project evaluations are quantitative. That is, it is concerned with saying something about the order of magnitude of the effects of the project. Of course, qualitative analysis is important, and in most cases is a prelude to quantification — there is little point quantifying if you don’t understand what you are talking about. Quantification, however, provides a discipline and focus for qualitative speculation and provides an important extra dimension when comparing the effects of different projects. When quantifying, there are many sensible approaches that could be adopted. We will focus here on approaches that are broadly consistent with the current approaches to benefit–cost analysis and that could readily be used to augment those approaches. The report begins by reviewing some basic notions of poverty (Chapter 2) and then goes on (Chapter 3) to discuss in principle the ways that agricultural research could influence poverty. Chapter 4 explains, with the use of some examples, a range of analytical approaches that could be taken, and Chapter 5 draws some specific implications for ACIAR.poverty evaluation, benefit-cost analysis, poverty analysis, economics of poverty, quantitative evaluation, analytical, Agribusiness, Agricultural and Food Policy, Crop Production/Industries, Farm Management, Food Consumption/Nutrition/Food Safety, Food Security and Poverty, International Development, Livestock Production/Industries, Production Economics,

    Acacia Hybrids in Vietnam

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    Crop Production/Industries,

    Origin and characterization of single-electron events in Skipper-CCDs for light dark matter searches

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    This manuscript summarizes the work carried out within the SENSEI (Sub-Electron-Noise Skipper-CCD Experimental Instrument) collaboration, an effort focused on the search for light dark matter using Skipper-CCDs. Firstly, it presents the data acquisition and processing protocol developed to establish a selection criteria for events compatible with the dark matter signal. This protocol also enabled the structure and tools used for the study and characterization of phenomena that impact the quality of measurements made in the search for dark matter (measurement of the Fano factor, determination of the Compton background, and characterization of the high-energy surface background), which were carried out during this work. Secondly, it discusses the comprehensive study conducted on the origin of single-electron events in Skipper-CCDs, which allowed for the selection of detector operating parameters and improved the detection sensitivity in the search for dark matter. It is highlighted the characterization of the spatial correlation between single-electron events and high-energy events, among other developed event selection criteria, and the optimization of the output device to reduce sources of luminescence during its operation. As a result of this study, the lowest levels of dark current and spurious charge ever measured in a CCD are reported. Finally, the latest published results from SENSEI are presented. The obtained limits for the scattering of a light mediator are the best reported to date across the entire investigated mass range, while for the heavy mediator, they are the best for masses below 10 MeV. In terms of dark matter absorption, the most restringent limits below 10 eV are reported. These results, achieved with only a very small fraction of the total projected exposure for SENSEI, position Skipper-CCDs as leaders in the search for light dark matter worldwide.Comment: This document is an English translation of a Ph.D. Thesis. The original version of this thesis was written in Spanish and is available for reference online in the digital archive of Ph.D. theses at the UBA, Argentina. This translation is unofficial and has been attempted by the author solely for the purpose of facilitating its diffusion and wider accessibility to the scientific communit

    Temperature control board design and validation for skipper-CCD sensors using a buck converter

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    Corresponding author. E-mail address: [email protected] (J. Rodas).This article describes the creation and validation of a custom temperature control board explicitly designed for Skipper-CCD sensors. The board is versatile and can be used in various experimental setups. It consists of two galvanically isolated sections: a control section equipped with a Raspberry Pi and essential instrumentation for measurement and protection, and a power section with a buck converter and additional instrumentation for enhanced protection and monitoring. The seamless integration of these sections provides robust temperature control and comprehensive safeguards against potential issues. Through careful design and extensive experimental validation, the developed board ensures precise thermal management tailored to the unique needs of Skipper-CCD sensors. Its effectiveness has been demonstrated in the OSCURA experiment and can serve as a model for potential applications in other projects.Consejo Nacional de Ciencia y TecnologíaPrograma Paraguayo para el Desarrollo de la Ciencia y Tecnología. Incentivos para la formación de investigadores en postgrados nacionalesPrograma Paraguayo para el Desarrollo de la Ciencia y Tecnología. Proyectos de investigación y desarrolloPrograma Paraguayo para el Desarrollo de la Ciencia y Tecnología. Proyectos estratégicosPrograma Paraguayo para el Desarrollo de la Ciencia y Tecnología. Proyectos de creación y fortalecimiento de maestrías y doctorados de excelenciaPrograma Paraguayo para el Desarrollo de la Ciencia y Tecnología. Sistema Nacional de Investigadore

    The complete mitochondrial genome of a skipper Burara striata (Lepidoptera: Hesperiidae)

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    We assembled a complete mitogenome of an Asian skipper butterfly Burara striata (Hesperiidae, Coeliadinae), the first representative of the genus Burara, from next generation sequencing reads. The 15327 bp mitogenome covers 13 protein-coding genes (PCGs), 22 transfer RNA genes (tRNAs), 2 ribosomal RNA genes (rRNAs), and an A+T rich region. Its gene order is typical for mitogenomes of Lepidoptera. Phylogenetic analysis places Burara striata as a sister to Hasora, and Choaspes as a sister to both of these genera.National Institutes of Health [GM094575]; Welch Foundation [I-1505]SCI(E)ARTICLE145-147

    Eucalypt Tree Improvement in China

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    Crop Production/Industries,
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