189 research outputs found
Carbohydrates in hepatitis B antigen
No full textLetter to the EditorAbstract not availableC. J. Burrell, Elaine Proudfoot, G. A. Keen & B. P. Marmio
Kazhdan-Lusztig Polynomials of Matroids and Their Roots
No full textThe Kazhdan-Lusztig polynomial of a matroid M, denoted P_M( t ), was recently defined by Elias, Proudfoot, and Wakefield. These polynomials are analogous to the classical Kazhdan-Lusztig polynomials associated with Coxeter groups. For example, in both cases there is a purely combinatorial recursive definition. Furthermore, in the classical setting, if the Coxeter group is a Weyl group then the Kazhdan-Lusztig polynomial is a Poincare polynomial for the intersection cohomology of a particular variety; in the matroid setting, if M is a realizable matroid then the Kazhdan-Lusztig polynomial is also the intersection cohomology Poincare polynomial of a variety corresponding to M. (Though there are several analogies between the two types of polynomials, the theory is quite different.)
Here we compute the Kazhdan-Lusztig polynomials of several graphical matroids, including thagomizer graphs, the complete bipartite graph K_{2,n}, and (conjecturally) fan graphs. Additionally, we investigate a conjecture by the author, Proudfoot, and Young on the real-rootedness for Kazhdan-Lusztig polynomials of these matroids as well as a conjecture on the interlacing behavior of these roots. We also show that the Kazhdan-Lusztig polynomials of uniform matroids of rank n − 1 on n elements are real-rooted.
This dissertation includes both previously published and unpublished co-authored material
Sonoran Desert conservation plan
No full textabstract: Mr. Proudfoot, the leading pygmy-owl biologist in the United States, has worked for the last two years to gather and analyze the data that allows us to address issues regarding the genetic viability of ferruginous pygmy-owls in Arizona and to establish a framework for future management efforts. The two major questions addressed are (1) do populations of concern lack genetic variation relative to putative healthy populations, and (2) how unique are geographically distinct populations within a species of special concern?SDCP reports. Habitats and corridors element ; 10Includes bibliographical references (p. 8-12
Effect of moving dairy cows at different stages of labor on behavior during parturition
No full textCows are often moved from a group to an individual maternity pen just before calving. However, it is unclear whether moving cows during labor may alter their behavior or affect the progress of labor. The aim of this study was to determine if moving cows to a maternity pen at different stages of labor would influence calving behavior or the length of the second stage of labor. Seventy-nine multiparous Holstein dairy cows were moved from 1 of 2 group pens to 1 of 10 maternity pens adjacent to each group pen either 3 d before expected calving date or when one or more behavioral or physical signs of labor were observed. These signs were noted, and were used to retrospectively categorize cows into 1 of 3 movement categories: (1) moved before labor, (2) moved during early stage I labor (signs of suddenly tense and enlarged udder, raised tail or relaxed pelvic ligaments; could also be immediately prelabor), or (3) moved during late stage I labor (signs of viscous, bloody mucus or abdominal contractions; could also be transitioning to stage II labor). Calves were weighed within 12h of birth and remained with their dam for 3 d. The length of the second stage of labor (the time between first abdominal contractions to the delivery the calf) and the total time of abdominal contractions, lying time, and number of position changes from standing to lying made by the cow in the hour before calving were recorded. A single blood sample was taken from the jugular vein of cows 3 to 27h after calving to determine content of haptoglobin, a marker of systemic inflammation. The effect of movement category on length of the second stage of labor and behavioral variables was tested with ANOVA; category was a fixed effect and calf body weight (BW) and cow parity were covariates. The relationship between haptoglobin and the length of the second stage of labor was tested in a model with time of sampling relative to calving as a covariate. Cows moved during late stage I had the longest labor, but did not have longer contractions compared with cows in the other categories. These same cows spent half as much time lying in the 1h before calving compared with cows in the other categories, but did not differ in the number of position changes from standing to lying. We did not have the power to test the effect of movement category on haptoglobin, but cows with longer stage II labor had higher haptoglobin postcalving. Moving cows to a maternity pen during the late part of the first stage of labor caused a delay in the second stage of labor, and this was likely driven by altered lying behavior
Comparing consortial repositories: a model-driven analysis
No full textThis study aims to provide a comparative assessment of different repository consortia as a reference to inform future work in the area. A review of the literature was used to identify repository consortia, and their features were compared. Three models of consortial repositories were derived from this comparison, based on their structure and aims. The consortial models were based around either: creating a shared repository for the members, developing a repository software platform or creating a metadata harvesting service to aggregate content. Using case studies of each type of repository consortium, each model was assessed in terms of its particular strengths and weaknesses. These strengths were then compared across the models to enable those considering a consortial repository project to assess which model, or combination of models, would best address their needs and to aid in project planning
Machine-learning-based calving prediction from activity, lying, and ruminating behaviors in dairy cattle
No full textThe objective of this study was to use automated activity, lying, and rumination monitors to characterize prepartum behavior and predict calving in dairy cattle. Data were collected from 20 primiparous and 33 multiparous Holstein dairy cattle from September 2011 to May 2013 at the University of Kentucky Coldstream Dairy. The HR Tag (SCR Engineers Ltd., Netanya, Israel) automatically collected neck activity and rumination data in 2-h increments. The IceQube (IceRobotics Ltd., South Queensferry, United Kingdom) automatically collected number of steps, lying time, standing time, number of transitions from standing to lying (ly-. ing bouts), and total motion, summed in 15-min increments. IceQube data were summed in 2-h increments to match HR Tag data. All behavioral data were collected for 14 d before the predicted calving date. Retrospective data analysis was performed using mixed linear models to examine behavioral changes by day in the 14 d before calving. Bihourly behavioral differences from baseline values over the 14 d before calving were also evaluated using mixed linear models. Changes in daily rumination time, total motion, lying time, and lying bouts occurred in the 14 d before calving. In the bihourly analysis, extreme values for all behaviors occurred in the final 24 h, indicating that the monitored behaviors may be useful in calving prediction. To determine whether technologies were useful at predicting calving, random forest, linear discriminant analysis, and neural network machine -learning techniques were constructed and implemented using R version 3.1.0 (R Foundation for Statistical Computing, Vienna, Austria). These methods were used on variables from each technology and all combined variables from both technologies. A neural network analysis that combined variables from both technologies at the daily level yielded 100.0% sen-sitivity and 86.8% specificity. A neural network analysis that combined variables from both technologies in bihourly increments was used to identify 2-h periods in the 8 h before calving with 82.8% sensitivity and 80.4% specificity. Changes in behavior and machine-learning alerts indicate that commercially marketed behavioral monitors may have calving prediction potential
Animal behavior and well-being symposium: Novel and multidisciplinary approaches to animal welfare
No full textSocial stress as a cause of diseases in farm animals: Current knowledge and future directions
No full textOver the past 50 years, biomedical research has established a strong linkage between psychosocial stress and disease risk in humans, which has transformed the understanding of stress and the role it plays in human lives. This research has led to personalized medicine where a reduction in daily life stress is a main goal for many people with debilitating illnesses. This review describes the supporting evidence that social stress also plays a critical role in farm animal disease prevention, and may be a mediator by which common management practices can increase disease risk. There is evidence that social factors, including deprivation of social contact ('social isolation'), reducing space allowance ('crowding') and disturbing social order ('social instability') trigger physiological and behavioral indicators of stress in livestock. Less research exists, however, linking management practices that trigger social stress with higher disease risk. Suggestions are offered for future research opportunities, and practical, evidence-based recommendations are made for reducing the negative effects of social isolation, instability and crowding. The current evidence that social factors contribute to disease risk in farm animals is not as convincing as the human literature, but remains a promising and important area for future research
Maternal Behavior and Design of the Maternity Pen
No full textLabor is likely a painful and stressful experience for dairy cows. Understanding maternal behavior can help inform the design of maternity pens that best accommodate the cow. The maternity pen should provide the cow an opportunity to seclude from other cows and barn activity. It should also be well-bedded, dry, and cleaned regularly to create a comfortable environment and minimize the spread of pathogens to the cow and her calf. Management of the maternity pen should aim to reduce environmental and social stressors to encourage a smooth transition for cows into the lactating herd
The effect of dystocia on the dry matter intake and behavior of Holstein cows
No full textDairy cows that have a difficult calf delivery (dystocia) are more likely to develop health complications after calving, reducing productivity and welfare. Understanding the behavioral cues of dystocia may facilitate prompt obstetric assistance and reduce the long-term effect of the challenging delivery. The aim of this study was to describe the effects of dystocia on dairy cow behavior during the period around calving and to assess the use of these behaviors as potential indicators of dystocia. Individual dry matter intake, water intake, feeding and drinking time, meal size, standing time, and number of transitions from standing to lying positions (bouts) were recorded during the 48-h period before and after the time of calf delivery for 22 Holstein cows [11 cows with dystocia and 11 cows with unassisted delivery (eutocia)]. Cows with dystocia consumed 1.9 kg less during the 48 h before calving compared with cows with eutocia (14.3 ± 1.0 vs. 16.2 ± 1.0 kg, respectively), and this difference increased to 2.6 kg in the 24 h before calving (8.3 ± 0.7 vs. 10.9 ± 0.7 kg/d). There were no differences in drinking time between the groups, but cows with dystocia consumed less water 24 h before calving (22.4 ± 4.4 vs. 36.2 ± 4.4 kg/d, respectively) and consumed more water during the 24-h period after calving (56.9 ± 3.1 vs. 48.7 ± 3.1 kg/d) compared with cows with eutocia. Cows with dystocia transitioned from standing to lying positions more frequently than cows without dystocia beginning 24 h before calving (10.9 ± 0.7 vs. 8.3 ± 0.7 bouts/d). Dry matter intake and standing bouts in the 24 h before calving were the most accurate variables in discriminating between cows with and without dystocia, suggesting that cows with dystocia begin to alter their behavior beginning 24 h before calving
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