152 research outputs found

    In Hitler\u27s Shadow: An Israeli\u27s Amazing Journey Inside Germany\u27s Neo-Nazi Movement

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    In 1992, Yaron Svoray, an investigative journalist and son of holocaust survivors, initiated an under cover mission to secretly record and photograph leaders of Germany\u27s growing neo-Nazi movement.https://digitalcommons.fairfield.edu/bennettcenter-posters/1199/thumbnail.jp

    Life Diamonds: A 55 Year Search for Nazi Stolen Holocaust Treasures

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    It began with two American G.I.s and a Gestapo strong hold in Strassbourg. It ended fifty-five years later in a foxhole on the French-German border with Israeli investigative journalist and anti-terrorist fighter, Yaron Svoray. Come and hear his remarkable story.https://digitalcommons.fairfield.edu/bennettcenter-posters/1214/thumbnail.jp

    How does socio-economic and demographic dissimilarity determine physical and virtual segregation?

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    It is established that socio-economic and demographic dissimilarities between populations are determinants of spatial segregation. However, the understanding of how such dissimilarities translate into actual segregation is limited. We propose a novel network-analysis approach to comprehensively study the determinants of communicative and mobility-related spatial segregation, using geo-tagged Twitter data. We constructed weighted spatial networks representing tie strength between geographical areas, then modeled tie formation as a function of socio-economic and demographic dissimilarity between areas. Physical and virtual tie formation were affected by income, age, and race differences, although these effects were smaller by an order of magnitude than the geographical distance effect. Tie formation was more frequent when destination area had higher median income and lower median age. We hypothesize that physical tie formation is more costly than a virtual one resulting in stronger segregation in the physical world. Economic and cultural motives may result in stronger segregation of relatively rich and young populations from their surroundings. Our methodology can help identify types of states that lead to spatial segregation and thus guide planning decisions for reducing its adverse effects

    A sensitive soil biological indicator to changes in land-use in regions with Mediterranean climate

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    The demand for reliable indicators to quantify soil health has increased recently. We propose and test the use of soil microbial functional diversity as an indicator of multifunctional performance in agriculturally important areas. Agricultural fields in the Mediterranean and semiarid regions of Israel were selected as test sites and measured in Spring and Autumn seasons. Measurements included microbial parameters, basic soil abiotic properties and biological responses to agricultural management relative to measures of a natural ecosystem. Using a canonical correlation analysis we found that soil moisture was the most important basic soil property with different responses in Spring and Autumn. In Spring, it had a strongly negative relation with microbial biomass (MB), community level physiological profiling (CLPP) and the Shannon-Weaver index H', while in Autumn it had a strong relation with CLPP. We further show a significant interaction between CLPP and climate for land-use type "orchards". CLPP measured in the autumn season was thus identified as a useful and rapid biological soil health indicator, recommended for application in semiarid and Mediterranean agricultural regions. Apart from obtaining a better understanding of CLPP as the soil indicator, the study concludes that CLPP is well suited to differentiate between soils in different climates, seasons and land use types. The study shows a promising direction for further research on characterizing soil health under a larger variety of conditions.</p

    Spatial Heterogeneity of Seasonal Grazing Pressure Created by Herd Movement Patterns on Hilly Rangelands Using GPS and GIS

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    The spatial heterogeneity of grazing pressure on extensive rangelands has management implications (Adler et al., 2001) but it has traditionally been difficult to quantify. Combination of technologies based on GPS (Global Positioning System) and GIS (Geographic Information Systems) is a quantum leap in our ability to address this issue. These tools were used to estimate the spatial heterogeneity of grazing pressure at a farm scale, and examine the relation between local landscape features and local grazing pressure
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