263 research outputs found

    An Exploratory Guide to the Work, Efficacy & Potential of the USDA-Natural Resources Conservation Service in Vermont through the Perspectives of NRCS Staff

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    The Natural Resources Conservation Service (NRCS), an agency of the United States Department of Agriculture (USDA), is the largest provider of conservation incentives payments in private agricultural working lands in the United States. This transdisciplinary and action orientated report is an exploratory guide to the work, efficacy, and potential of the USDA-NRCS in the Vermont context through the perspectives of NRCS staff. The report is built around themes identified from semi-structured interviews conducted with seven NRCS-Vermont staff members. Interviews explored a variety of different topics including natural resource & environmental concerns in Vermont, barriers to conservation and sustainable agriculture, the strengths & weaknesses around NRCS function in Vermont, and suggestions for the improvement of agency function. This report includes 1) a SWOT analysis of NRCS-Vermont, 2) recommendations for the NRCS, and 3) summaries of research themes which include, but are not limited to, the work of the NRCS, administrative burdens, the value of conservation partnerships, farm types under-served by PES programing, and the things clients most value about NRCS assistance— all through the perspectives of NRCS-Vermont staff. Findings are interwoven with complementary background information from other published literature to help provide context for readers and to make the report accessible to a wide audience. This research will be informative to 1) those wishing to learn about the USDA-NRCS and 2) those interested in and/or working towards the effective design and use of NRCS and other agri-environmental and conservation programs in Vermont and beyond

    Farmer perspectives on administrative burdens and potential compensation structures: A short summary report of farmer interviews from spring 2022. Vermont Payment for Ecosystem Services Technical Research Report # 3c

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    Interviews with 35 Vermont farmers explored their perspectives on compensation associated with a soil health payment for ecosystem services (PES) program in 2022. This report summarizes thematic analysis of those interviews. Farmers’ willingness to participate in a soil health PES is linked to both the burden of enrollment paperwork and the payment level, among other factors. If deciding whether to participate in a soil health PES program, nearly all farmers said they would weigh the time and energy put into the administrative workload against the perceived benefits and value of the program, i.e., the payment level or technical assistance provided. Farmers appreciate straightforward program applications and paperwork that are aligned with their interests and schedules. Understandable language and access to technical assistance is also important to farmers when applying to programs and/or handling paperwork. A PES program should be as straightforward as possible to ease administrative burdens. At a minimum, compensation should reflect the paperwork and engagement burden for farmers. 100% of the farmers we interviewed highly valued soil health on their farms. Most farmers liked the idea of a PES program which compensates them for soils with good health. They appreciated how a program could enable and/or incentive them to maintain or improve soil health on their farms. Farmers identified the importance for a soil health program to consider differences between farms and soils when setting reasonable performance expectations and payment rates. Farmers expressed a wide variety of different perspectives and preferences about what payment rates would be meaningful to them in a PES program. There did not seem to be a ‘one-size-fits- all’ level of payment, and associating payment levels with soil health metrics proved challenging for some farmers. While many farmers were able to provide estimates of the level of payment they would be willing to accept, some were either unwilling or unable to determine appropriate levels of payment based on soil health metrics. Most farmers thought about the investment of time and resources needed when thinking about payment rates. Overall, the average level of payment that would be meaningful at the whole farm level described by interviewees was $9,322.00 per farm. However, significant differences in payment levels were detected by farm acreage. Farmers with fewer acres tended to require higher per acre payment rates than farmers with more acres. Conversely, farmers with larger acreage tended to require higher total payment. Approximately 90% of farmers interviewed were supportive of per acre payments in a soil health PES program. Nearly 50% of interviewees expressed concerns about how undifferentiated per acre payment rates across different farm types would favor the participation of farms with more acres and those which were less intensively managed. The potential value of a soil health PES program was widely recognized to be more than just monetary. Farmers expressed interest in both the monetary and non-monetary benefits that a potential program might offer them. Most were interested in the program providing some combination of financial payments, access to farm-specific data, connection to a farmer network/learning community, and technical assistance

    Abundance, Major Element Composition and Size of Components and Matrix in CV, CO and Acfer 094 Chondrites

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    The relative abundances and chemical compositions of the macroscopic components or "inclusions" (chondrules and refractory inclusions) and fine-grained mineral matrix in chondritic meteorites provide constraints on astrophysical theories of inclusion formation and chondrite accretion. We present new techniques for analysis of low count per pixel Si, Mg, Ca, Al, Ti and Fe x-ray intensity maps of rock sections, and apply them to large areas of CO and CV chondrites, and the ungrouped Acfer 094 chondrite. For many thousands of manually segmented and type-identified inclusions, we are able to assess, pixel-by-pixel, the major element content of each inclusion. We quantify the total fraction of those elements accounted for by various types of inclusion and matrix. Among CO chondrites, both matrix and inclusion Mg to Si ratios approach the solar (and bulk CO) ratio with increasing petrologic grade, but Si remains enriched in inclusions relative to matrix. The oxidized CV chondrites with higher matrix-inclusion ratios exhibit more severe aqueous alteration (oxidation), and their excess matrix accounts for their higher porosity relative to reduced CV chondrites. Porosity could accommodate an original ice component of matrix as the direct cause of local alteration of oxidized CV chondrites. We confirm that major element abundances among inclusions differ greatly, across a wide range of CO and CV chondrites. These abundances in all cases add up to near-chondritic (solar) bulk abundance ratios in these chondrites, despite wide variations in matrix-inclusion ratios and inclusion sizes: chondrite components are complementary. This "complementarity" provides a robust meteoritic constraint for astrophysical disk models

    Treatment with glucagon-like peptide-1 receptor agonists and incidence of dementia:Data from pooled double-blind randomized controlled trials and nationwide disease and prescription registers

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    INTRODUCTION: People with type 2 diabetes have increased risk of dementia. Glucagon‐like peptide‐1 (GLP‐1) receptor agonists (RAs) are among the promising therapies for repurposing as a treatment for Alzheimer's disease; a key unanswered question is whether they reduce dementia incidence in people with type 2 diabetes. METHODS: We assessed exposure to GLP‐1 RAs in patients with type 2 diabetes and subsequent diagnosis of dementia in two large data sources with long‐term follow‐up: pooled data from three randomized double‐blind placebo‐controlled cardiovascular outcome trials (15,820 patients) and a nationwide Danish registry‐based cohort (120,054 patients). RESULTS: Dementia rate was lower both in patients randomized to GLP‐1 RAs versus placebo (hazard ratio [HR]: 0.47 (95% confidence interval [CI]: 0.25–0.86) and in the nationwide cohort (HR: 0.89; 95% CI: 0.86–0.93 with yearly increased exposure to GLP‐1 RAs). DISCUSSION: Treatment with GLP‐1 RAs may provide a new opportunity to reduce the incidence of dementia in patients with type 2 diabetes

    Pennsylvania Folklife Vol. 22, No. 1

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    ‱ Calligraphic Drawings and Pennsylvania German Fraktur ‱ Flax Processing in Pennsylvania: From Seed to Fiber ‱ Pennsylvania German Astronomy and Astrology III: Comets and Meteors ‱ Rural Economics in Central Pennsylvania, 1850-1867 ‱ Palatine Emigrants to America from the Oppenheim Area, 1742-1749 ‱ Fruit Harvesting and Preservation: Folk-Cultural Questionnaire No. 26https://digitalcommons.ursinus.edu/pafolklifemag/1050/thumbnail.jp

    Stochastic Dispersal Rather Than Deterministic Selection Explains the Spatio-Temporal Distribution of Soil Bacteria in a Temperate Grassland

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    Spatial and temporal processes shaping microbial communities are inseparably linked but rarely studied together. By Illumina 16S rRNA sequencing, we monitored soil bacteria in 360 stations on a 100 square meter plot distributed across six intra-annual samplings in a rarely managed, temperate grassland. Using a multi-tiered approach, we tested the extent to which stochastic or deterministic processes influenced the composition of local communities. A combination of phylogenetic turnover analysis and null modeling demonstrated that either homogenization by unlimited stochastic dispersal or scenarios, in which neither stochastic processes nor deterministic forces dominated, explained local assembly processes. Thus, the majority of all sampled communities (82%) was rather homogeneous with no significant changes in abundance-weighted composition. However, we detected strong and uniform taxonomic shifts within just nine samples in early summer. Thus, community snapshots sampled from single points in time or space do not necessarily reflect a representative community state. The potential for change despite the overall homogeneity was further demonstrated when the focus shifted to the rare biosphere. Rare OTU turnover, rather than nestedness, characterized abundance-independent ÎČ-diversity. Accordingly, boosted generalized additive models encompassing spatial, temporal and environmental variables revealed strong and highly diverse effects of space on OTU abundance, even within the same genus. This pure spatial effect increased with decreasing OTU abundance and frequency, whereas soil moisture – the most important environmental variable – had an opposite effect by impacting abundant OTUs more than the rare ones. These results indicate that – despite considerable oscillation in space and time – the abundant and resident OTUs provide a community backbone that supports much higher ÎČ-diversity of a dynamic rare biosphere. Our findings reveal complex interactions among space, time, and environmental filters within bacterial communities in a long-established temperate grassland

    Patent Retrieval in Chemistry based on semantically tagged Named Entities

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    Gurulingappa H, MĂŒller B, Klinger R, et al. Patent Retrieval in Chemistry based on semantically tagged Named Entities. In: Voorhees EM, Buckland LP, eds. The Eighteenth Text RETrieval Conference (TREC 2009) Proceedings. Gaithersburg, Maryland, USA; 2009.This paper reports on the work that has been conducted by Fraunhofer SCAI for Trec Chemistry (Trec-Chem) track 2009. The team of Fraunhofer SCAI participated in two tasks, namely Technology Survey and Prior Art Search. The core of the framework is an index of 1.2 million chemical patents provided as a data set by Trec. For the technology survey, three runs were submitted based on semantic dictionaries and noun phrases. For the prior art search task, several elds were introduced into the index that contained normalized noun phrases, biomedical as well as chemical entities. Altogether, 36 runs were submitted for this task that were based on automatic querying with tokens, noun phrases and entities along with dierent search strategies
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