196,407 research outputs found

    Meaning privacy in domestic and public space: a comparative study of privacy practices among Italian and Turkish youth.

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    Akca, E., Göregenli, M., Bonaiuto, M. (2016). Meaning privacy in domestic and public space: a comparative study of privacy practices among Italian and Turkish youth. Abstract of presentation at International Association People-environment Studies IAPS24 Lund/Alnarp 2016 “The human being at home, work and leisure. Sustainable use and development of indoor and outdoor spaces in late modern everyday life”. Lund, Sweden, 27 June – 1 July, 2016. Abstract pubbl. in AA.VV., International Association People-environment Studies IAPS24 Lund/Alnarp 2016 “The human being at home, work and leisure. Sustainable use and development of indoor and outdoor spaces in late modern everyday life”. Conference Abstracts. Lund, Sweden, 27 June – 1 July, 2016. Lund: Lund University and SLU (p. 114-115

    The reasons for change of privacy practices in public space: A cross-cultural study.

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    Akca, E., Göregenli, M., Bonaiuto, M. (2017). The reasons for change of privacy practices in public space: A cross-cultural study. Abstract of poster at International Conference on Environmental Psychology “Theories of change and social innovation in transitions towards sustainability”. A Coruña, Spain, August 30 – 31 September 1, 2017. “. Abstract pubbl. in R. Mira, W. Schultz, T. Hartig, L. Steg (Eds.), Book of Abstracts. International Conference on Environmental Psychology “Theories of change and social innovation in transitions towards sustainability”. A Coruña: Instituto de Estudios e Investigación psicosocial Xoan Vicente Viqueira (p. 333). ISBN 978-84-932694-9-4

    Observing the effects or rapid industrialization, on forestry and pastures by remote sensing

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    Rapid and uncontrolled industrialization in an area and related population growth require fast assessments for the actual land-cover/land-use (LC/LU) maps and related practices, in order to avoid the overuse and damaging of the landscape beyond sustainability. Growth of industry, brings an increase in population beyond its needs, increasing the housing demands. All these may cause the loss of vegetation cover in the region, mostly of forestry and grassland in the present case (YILDIRIM et al., 1997, 2002). Modern remote sensing and geographic information system (GIS) technologies fit well for the evaluation and long term monitoring of such effects. In the present case, a region of Gebze County (Kocaeli-Turkey), 50 km east of metropolitan Istanbul is considered as a pilot site for long term monitoring of such rapid changes and their effects on the vegetation cover and environment. The region is observed between 1985-2005, by satellite images and quantified the LC/LU changes. Comparisons were then made among the observed patterns over these years and also between images and the land-use patterns projected by the government planning offices carried out in the region in the start of the interval considered. The LC/LU patterns quickly overshot the planned industrial and settlement areas in much less than a decade. The research work also includes an interval just before the 17 August 1999 Marmara Earthquake devastated the dwellings and roads in the area to a large extent. Therefore, the results could also be used, for a comparison of before and after earthquake inventories in many areas. The results in 2005 were indicative of rather fast recovery of the region from the negative effects of earthquake, in many respects. Further, a projection from the observed trends to the year 2010 (the next 5 years) was also made: Industrial areas are expected to increase to about 25% of all the total land area, from a start in 1986, of 2.4% to a 9% in a decade. Forests, although constitutionally protected, also may reduce to 20% (from a starting value of 30%). However the main loser among vegetation cover types was the pasture, which started at 39% in 1986 and is reduced to 5% in 2005. Extrapolation to 2010 is indicative of the possibility that no pasture area would be left in the region

    Observing the effects or rapid industrialization, on forestry and pastures by remote sensing

    No full text
    Rapid and uncontrolled industrialization in an area and related population growth require fast assessments for the actual land-cover/land-use (LC/LU) maps and related practices, in order to avoid the overuse and damaging of the landscape beyond sustainability. Growth of industry, brings an increase in population beyond its needs, increasing the housing demands. All these may cause the loss of vegetation cover in the region, mostly of forestry and grassland in the present case (YILDIRIM et al., 1997, 2002). Modern remote sensing and geographic information system (GIS) technologies fit well for the evaluation and long term monitoring of such effects. In the present case, a region of Gebze County (Kocaeli-Turkey), 50 km east of metropolitan Istanbul is considered as a pilot site for long term monitoring of such rapid changes and their effects on the vegetation cover and environment. The region is observed between 1985-2005, by satellite images and quantified the LC/LU changes. Comparisons were then made among the observed patterns over these years and also between images and the land-use patterns projected by the government planning offices carried out in the region in the start of the interval considered. The LC/LU patterns quickly overshot the planned industrial and settlement areas in much less than a decade. The research work also includes an interval just before the 17 August 1999 Marmara Earthquake devastated the dwellings and roads in the area to a large extent. Therefore, the results could also be used, for a comparison of before and after earthquake inventories in many areas. The results in 2005 were indicative of rather fast recovery of the region from the negative effects of earthquake, in many respects. Further, a projection from the observed trends to the year 2010 (the next 5 years) was also made: Industrial areas are expected to increase to about 25% of all the total land area, from a start in 1986, of 2.4% to a 9% in a decade. Forests, although constitutionally protected, also may reduce to 20% (from a starting value of 30%). However the main loser among vegetation cover types was the pasture, which started at 39% in 1986 and is reduced to 5% in 2005. Extrapolation to 2010 is indicative of the possibility that no pasture area would be left in the region

    Dr. Duane M. Jackson, Morehouse College, July 2011

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    This video is a conversation with Dr. Duane M. Jackson. Dr. Jackson talks about his paper, "Recall and the Serial Position Effect: The Role of Primacy and Recency on Accounting Students' Performance." Jackie Daniel, AUC Woodruff Library, is the interviewer

    "Reflections on the subject of Emigration from Europe with a view to Settlement in the United States" By M. Carey.

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    "Reflections on the subject of Emigration from Europe with a view to Settlement in the United States: containing bried sketches of the moral and political character of those states. By M. Carey, member of the American philosophical, and of the American Antiquarian Society, and author of The Olive Branch, Cindiciae Hibernicae, essays on banking, on political economy, and on internal improvement. To which are now added the English editor's comments on the subject; together with Important Advice to Emigrants, and Cautions Against Impositions Practiced in the Outports

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

    Dr. Glendon Swarthout

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    Hosted by Roger M. Busfield, MSU Assistant Professor of Speech and Theater, Meet the Author is designed to introduce a general audience to a contemporary author and their work through in-depth interviews. This episode features a conversation between Dr. Glendon Swarthout, prolific author and English professor at MSU, and assistant professors Sam S. Baskett and Theodore B. Strandness

    Marker-free Automatic Matching of Range Data

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    Matching of multiple views is often addressed in 3D-model generation and is normally a two-stage process consisting of a coarse and a fine matching stage. Coarse matching, that is the pre-alignment of the surfaces for the complex forms, which can be positioned far away from each other in 3D space, is a difficult problem to solve. Fine matching on the other hand can be performed accurately using either the ICP (iterative closest point) method or the least square surface matching method. Nevertheless, ICP involves an iterative solution which consumes much computing time, and it requires models with considerable degree of overlap at the start position. This is because it treats the closest point in the other model as the corresponding point and updates the corresponding relationship in each iterative step. If the models have insufficient overlap, ICP will converge to false result. Consequently, a good coarse matching is a precondition for a successful ICP. The other matching method- least square surface matching- needs a prealigned corresponding relationship between the surfaces of complex objects, exactly the task of the coarse matching process. This paper presents a novel algorithm to perform coarse matching with an innovative data structure, a “matching tree”, which is a combination of a interpretation tree and a bipartite matching graph. The whole systematic process can be divided in three steps: firstly, it performs segmentation of the laser range scan data according to the geometric characteristics; secondly, a coarse matching is conducted to solve the pre-alignment problem; and finally, an efficient fine matching aligns the models accurately. The coarse matching is not affected by the position of the models, because it generated from a matching tree using invariant relationships from the models themselves. This method is particularly suitable for laser range scan point cloud matching of rooms during th

    Early performance of cv. Jonagold apple on M.9 in five tree training systems

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    OZKAN Y., YILDIZ K., KUCUKER E., CEKIC, C. OZGEN M., AKCA Y., 2012. Early performance of cv. Jonagold apple on M. 9 in five tree training systems. Hort. Sci. (Prague), 39: 158-163. The effects of five training systems on tree growth, fruit yield and some fruit characteristics were assessed in Jonagold apple cv. grafted on M. 9 rootstock. The trees were trained in one of five ways: slender spindle (SS; 4,761 trees/ha), vertical axis (VA; 2,857 trees/ha), hytec (HT; 1,904 tree/ha) and two different tree densities of super spindle (L-Super S with 5,000 trees/ha; H-Super S with 10,000 trees/ha). Trunk cross-sectional area (TCA) was higher in HT and VA than SS, L-Super S and H-Super S in the 4th year. While HT had the highest cumulative yield/tree, the lowest cumulative yield was observed in H-Super S. Although HT had the highest yield/tree, it ranked the last in cumulative yield efficiency (CYE) due to high TCA. The highest (CYE) was measured in trees trained as L-Super S. When cumulative yields (CY)/ha were evaluated, the yield advantage of high density planting was clearly evident for the first three cropping years. H-Super S systems (10,000 trees/ha) had the highest CY/ha and achieved a yield of 91.24 t/ha in year 4. HT (1,904 trees/ha) had the lowest CY/ha (33.46 t). Training systems had no consistent effect on average fruit diameter, weight, firmness, soluble solid and titratable acidity
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