775 resultados para Barrow
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Vol. 7 included in v. 5 of: North Petherton registers.
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Thesis (Master's)--University of Washington, 2016-06
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'Social capital' refers to the relationships of trust, communication, and cooperation that facilitate collective action in a community. It is particularly relevant to soil conservation in developing countries, which requires collective efforts to raise awareness of soil degradation, provide effective training in soil conservation practices, and implement soil conservation measures on individual farms. The Landcare Program in the Southern Philippines promotes simple conservation practices in upland environments through establishing and supporting community landcare groups and municipal landcare associations, thus augmenting the social capital of farmers in these locations. An evaluation of the Landcare Program in Barangay Ned, South Cotabato, based on a survey of 313 farm households and case studies of nine landcare groups, shows that, despite extreme isolation and difficult working conditions, farmers responded by rapidly forming landcare groups and a landcare association, and adopting contour barriers on their maize farms. They utilized the bonding social capital inhering in their local communities to build stocks of bridging social capital, linking them to information, training and resources from outside their immediate locality. A logistic regression model of the factors affecting adoption of contour barriers shows that farmers who had undergone the practical, farmer-based training provided by the Landcare Program, and who were members of a landcare group, were significantly more likely to adopt conservation measures. These results confirm the value of investing in social capital to promote soil conservation. Copyright (c) 2005 John Wiley & Sons, Ltd.
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In the framework of the global energy balance, the radiative energy exchanges between Sun, Earth and space are now accurately quantified from new satellite missions. Much less is known about the magnitude of the energy flows within the climate system and at the Earth surface, which cannot be directly measured by satellites. In addition to satellite observations, here we make extensive use of the growing number of surface observations to constrain the global energy balance not only from space, but also from the surface. We combine these observations with the latest modeling efforts performed for the 5th IPCC assessment report to infer best estimates for the global mean surface radiative components. Our analyses favor global mean downward surface solar and thermal radiation values near 185 and 342 Wm**-2, respectively, which are most compatible with surface observations. Combined with an estimated surface absorbed solar radiation and thermal emission of 161 Wm**-2 and 397 Wm**-2, respectively, this leaves 106 Wm**-2 of surface net radiation available for distribution amongst the non-radiative surface energy balance components. The climate models overestimate the downward solar and underestimate the downward thermal radiation, thereby simulating nevertheless an adequate global mean surface net radiation by error compensation. This also suggests that, globally, the simulated surface sensible and latent heat fluxes, around 20 and 85 Wm**-2 on average, state realistic values. The findings of this study are compiled into a new global energy balance diagram, which may be able to reconcile currently disputed inconsistencies between energy and water cycle estimates.
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A compilation of basal dates of peatland initiation across the northern high latitudes, associated metadata including location, age, raw and calibrated radiocarbon ages, and associated references. Includes previously published datasets from sources below as well as 365 new data points.
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The objective of this study was to evaluate the effects of the use of cashew bagasse bran (CBB) as food ingredient in qualitative feed restriction programs on the carcass traits, meat quality, organs weight and intestinal morphometry of barrows and gilts. Twenty – four crossbred pigs were used (12 barrows and 12 gilts) with an average initial body weight of 57.93 ± 3.67 kg/LW. The experimental designs was in randomized blocks 3x2 factorial arrangement with three level (0%, 15% e 30% CBB), two genders (barrows and gilts) and four repetition. A total of twenty-four instalments. The treatments were composed of basal diet (BD) formulated with corn, soybean meal and commercial base mix for finishing pigs, being containing different levels of CBB. At the end of the trial period the animals were slaughtered for the evaluation of the meat quality, traits carcass, Absolute Weight (AW) and Relative Weight (RW) of the organs and morphometric study of small intestine fragment. The inclusion of (CBB) in the diets did not affect the traits carcass of gilts, but interfered in the traits carcass of the barrow positively, increasing the yield of meat into cold carcass and reducing the thickness of subcutaneous fat, without affecting the fatty acid profile. However, we observed increased weight of organs and partial volume of absortiva mucosa of gilts. In the comparison between sex was observed a greater liver weight (AW) and (RW), and surface density of absortiva mucosa of barrow. The use of CBB was considered as ingredient to be used in programs of qualitative feed restriction for finishing pigs.
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The objective of this study was to evaluate the effects of the use of cashew bagasse bran (CBB) as food ingredient in qualitative feed restriction programs on the carcass traits, meat quality, organs weight and intestinal morphometry of barrows and gilts. Twenty – four crossbred pigs were used (12 barrows and 12 gilts) with an average initial body weight of 57.93 ± 3.67 kg/LW. The experimental designs was in randomized blocks 3x2 factorial arrangement with three level (0%, 15% e 30% CBB), two genders (barrows and gilts) and four repetition. A total of twenty-four instalments. The treatments were composed of basal diet (BD) formulated with corn, soybean meal and commercial base mix for finishing pigs, being containing different levels of CBB. At the end of the trial period the animals were slaughtered for the evaluation of the meat quality, traits carcass, Absolute Weight (AW) and Relative Weight (RW) of the organs and morphometric study of small intestine fragment. The inclusion of (CBB) in the diets did not affect the traits carcass of gilts, but interfered in the traits carcass of the barrow positively, increasing the yield of meat into cold carcass and reducing the thickness of subcutaneous fat, without affecting the fatty acid profile. However, we observed increased weight of organs and partial volume of absortiva mucosa of gilts. In the comparison between sex was observed a greater liver weight (AW) and (RW), and surface density of absortiva mucosa of barrow. The use of CBB was considered as ingredient to be used in programs of qualitative feed restriction for finishing pigs.
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The population, distribution and range of the Ross's gull in North America remain poorly understood, as does almost every aspect of its ecology and biology. It breeds at a few disparate locations in the Canadian Arctic and is an annual fall migrant in northern Alaska where tens of thousands occur in the nearshore waters of the Beaufort and Chukchi Seas, but little else is known about the distribution, habitat requirements, migratory routes and wintering areas used by this species. In order to clarify the status of the Ross's gull in North America I sought to discover new breeding sites in the Canadian High Arctic in order to characterize nesting habitat requirements, develop a predictive model with which to identify suitable nesting habitat for Ross's gulls, and refresh outdated estimates of the number of individuals migrating past Point Barrow, Alaska. Taken together, my findings provide a comprehensive account of the current status of the Ross's gull in North America.
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This synthesis dataset contains records of freshwater peat and lake sediments from continental shelves and coastal areas. Information included is site location (when available), thickness and description of terrestrial sediments as well as underlying and overlying sediments, dates (when available), and references.
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Visual cluster analysis provides valuable tools that help analysts to understand large data sets in terms of representative clusters and relationships thereof. Often, the found clusters are to be understood in context of belonging categorical, numerical or textual metadata which are given for the data elements. While often not part of the clustering process, such metadata play an important role and need to be considered during the interactive cluster exploration process. Traditionally, linked-views allow to relate (or loosely speaking: correlate) clusters with metadata or other properties of the underlying cluster data. Manually inspecting the distribution of metadata for each cluster in a linked-view approach is tedious, specially for large data sets, where a large search problem arises. Fully interactive search for potentially useful or interesting cluster to metadata relationships may constitute a cumbersome and long process. To remedy this problem, we propose a novel approach for guiding users in discovering interesting relationships between clusters and associated metadata. Its goal is to guide the analyst through the potentially huge search space. We focus in our work on metadata of categorical type, which can be summarized for a cluster in form of a histogram. We start from a given visual cluster representation, and compute certain measures of interestingness defined on the distribution of metadata categories for the clusters. These measures are used to automatically score and rank the clusters for potential interestingness regarding the distribution of categorical metadata. Identified interesting relationships are highlighted in the visual cluster representation for easy inspection by the user. We present a system implementing an encompassing, yet extensible, set of interestingness scores for categorical metadata, which can also be extended to numerical metadata. Appropriate visual representations are provided for showing the visual correlations, as well as the calculated ranking scores. Focusing on clusters of time series data, we test our approach on a large real-world data set of time-oriented scientific research data, demonstrating how specific interesting views are automatically identified, supporting the analyst discovering interesting and visually understandable relationships.