2,762,726 research outputs found

    Managed Aquifer Recharge as a Tool to Enhance Sustainable Groundwater Management in California

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    A growing population and an increased demand for water resources have resulted in a global trend of groundwater depletion. Arid and semi-arid climates are particularly susceptible, often relying on groundwater to support large population centers or irrigated agriculture in the absence of sufficient surface water resources. In an effort to increase the security of groundwater resources, managed aquifer recharge (MAR) programs have been developed and implemented globally. MAR is the approach of intentionally harvesting and infiltrating water to recharge depleted aquifer storage. California is a prime example of this growing problem, with three cities that have over a million residents and an agricultural industry that was valued at 47 billion dollars in 2015. The present-day groundwater overdraft of over 100 km3 (since 1962) indicates a clear disparity between surface water supply and water demand within the state. In the face of groundwater overdraft and the anticipated effects of climate change, many new MAR projects are being constructed or investigated throughout California, adding to those that have existed for decades. Some common MAR types utilized in California include injection wells, infiltration basins (also known as spreading basins, percolation basins, or recharge basins), and low-impact development. An emerging MAR type that is actively being investigated is the winter flooding of agricultural fields using existing irrigation infrastructure and excess surface water resources, known as agricultural MAR. California therefore provides an excellent case study to look at the historical use and performance of MAR, ongoing and emerging challenges, novel MAR applications, and the potential for expansion of MAR. Effective MAR projects are an essential tool for increasing groundwater security, both in California and on a global scale. This chapter aims to provide an overview of the most common MAR types and applications within the State of California and neighboring semi-arid regions

    Global Microscope on the Microfinance Business Environment 2010: An Index and Study by the Economist Intelligence Unit

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    This report outlines the findings of the Economist Intelligence Unit¿s in-depth analysis of the microfi nance business environment in 54 countries. The index that underlies this report allows countries and regions to be compared across three broad categories: regulatory framework, institutional development and investment climate. The study uses a methodology which was originally developed for Latin America and the Caribbean in 2007 and was employed for the fi rst time on a global basis in 2009. Most of the research for this report was conducted prior to May 2010, although some later developments (up to July) were included where they were particularly signifi cant.Microbusinesses & Microfinance

    Boîte à outils du travailleur du Web 2012 (La)

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    Ce document rassemble et commente brièvement une série d\u27outils très pratiques susceptibles de faciliter la production de contenus sur le web

    Social Intelligence Design in Ambient Intelligence

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    This Special Issue of AI and Society contains a selection of papers presented at the 6th Social Intelligence Design Workshop held at ITC-irst, Povo (Trento, Italy) in July 2007. Being the 6th in a series means that there now is a well-established and also a growing research area. The interest in this research area is growing because, among other things, current computing technology allows other than the traditional efficiency-oriented applications associated with computer science and interface technology. For example, in Ambient Intelligence (AmI) applications we look at sensor-equipped environments and devices (robots, smart furniture, virtual humans and pets) that support their human inhabitants during their everyday activities. These everyday activities also include computer-mediated communication, collaboration and community activities

    Secrecy and Intelligence: Introduction

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    The catalyst for this special issue of Secrecy and Society stems from a workshop titled “Secrecy and Intelligence: Opening the Black Box” at North Carolina State University, April, 2016. This workshop brought together interested scholars, intelligence practitioners, and civil society members from the United States and Europe to discuss how different facets of secrecy and other practices shape the production of knowledge in intelligence work. This dialogue aimed to be reflective on how the closed social worlds of intelligence shape what intelligence actors and intelligence analysts, who include those within the intelligence establishment and those on the outside, know about security threats and the practice of intelligence. The papers in this special issue reflect conversations that occurred during and after the workshop

    Emotional Intelligence: a Study on University Students

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    Nature bestowed humans with emotions. Emotions are significant predictors of anyone's success. Now Emotional Intelligence is an established phenomenon is under eye of researcher and psychologist. The objectives of this study were (i) to explore the level of Emotional Intelligence of University's students. (ii) to find ouu the difference between Emotional Intelligence on the basis of gender, locality, level of course and School of study. This survey based study used data from 200 students of Central University of South Bihar, Gaya, India. Results indicated that all university's students were having high level of emotional intelligence. Result indicates that all students of School of Education have emotional Intelligence of high level except in comparison of students of School of Law & Governance. Male and female students are significantly differed from each other on Emotional Intelligence on overall sample. Female students found more Emotional Intelligent with high mean value. UG and PG students of were found not significantly differ from each other on Emotional intelligence. UG students were more emotionally intelligent on the basis of mean value. Residential location does not have any significant role but rural students were more emotionally intelligent in comparison to their counterpart
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