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A cattle diet study was conducted in the northern Black Hills of South Dakota and Wyoming. Forty-eight plants were identified in cattle fecal material. Grasses in the feces averaged 549& forbs 17%, and shrubs-trees 28% over the grazing season. Sedges (Curex spp.) and wheatgrass (Agropyron spp.) were the most abundant plants found in the feces throughout the season. Bur oak (Quercus macrocarpa), ponderosa pine (Pinus ponderosa), and Oregon grape (Berberis repens) were common in the diet. Shrubsdoi:10.2307/3899718 fatcat:fps2iixh2jfuvb36ktp42kfrii
more »... nd trees made up 37% of the diet in September. Similarities and rank order correlations of diets with available forage were low in August, indicating that cattle were selectively grazing.
Book Reviews 533 seem old-fashioned. There was little use of graphical displays, even though this would have aided comprehension in, say, regression, and the graphs that were presented also had a dated feel about them. I also felt that navigation about the book could have been improved if topics had been highlighted better, so that one knew when was reading a discussion of solutions of previous exercises and when new concepts were being introduced. Although students would work sequentiallydoi:10.2307/2347211 fatcat:fwyemswegzf7vmofaf33wzctgu
more »... gh the book, other readers might want to "dip in" and, at present, this is difficult. Although the book is entitled a self-instruction manual, and thus is intended for the lone student, sections of it would be ideal for a one semester course on evidence-based medicine, and the exercises would be a boon to the instructor. REFERENCE 1. Egger M, Davey-Smith G. Misleading meta-analysis. Br Med J 1995;310:752-4.
ROTH The Coca-Cola Company WAYNE W. ... DANIEL Georgia State University The purpose of this paper is to present a table of critical values for use with the ordered alternatives test developed by Chacko (1963). ...doi:10.1177/001316447803800405 fatcat:j4dklmvbcjgr5mudkihy4patom
A program listing is available free from Professor Wayne W. Daniel, Q. M. Department, Georgia State University, University Plaza, Atlanta, Georgia 30303. ...doi:10.3758/bf03202185 fatcat:dz5exhvauzeddcdn753ki4my7q
Daniel Shabani is now at the Lovaas Institute. ...doi:10.1901/jaba.2006.30-05 pmid:17236343 pmcid:PMC1702338 fatcat:3s4l7scitzeg7emu5d5zxkiiie
Daniel, W. W. Applied nonparametric statistics. Boston: Houghton Mifflin, 1978. Hollander, M. A distribution-free test for parallelism. ... A program listing and instructions are available free from Professor Wayne W. Daniel, Depart¬ ment of Quantitative Methods, Georgia State University, University Plaza, Atlanta, Georgia 30303. ...doi:10.3758/bf03205174 fatcat:mjjkjabkljfw5a2p3bjnid3tdm
The Yellowstone caldera, in the western United States, formed ~640,000 years ago when an explosive eruption ejected ~1,000 km 3 of material 1 . It is the youngest of a series of large calderas that formed during sequential cataclysmic eruptions that began ~16 Myr ago in eastern Oregon and northern Nevada. The Yellowstone caldera was largely buried by rhyolite lava flows during eruptions that occurred from ~150,000 to ~70,000 years ago 1 . Since the last eruption, Yellowstone has remaineddoi:10.1038/nature04507 pmid:16511491 fatcat:yr6uvfn64rc2xmjtzuw7rjdtzm
more »... s, with high seismicity, continuing uplift/subsidence episodes with movements of ~70 cm historically 2 to several metres since the Pleistocene epoch 3 , and intense hydrothermal activity. Here we present observations of a new mode of surface deformation in Yellowstone, based on radar interferometry observations from the European Space Agency ERS-2 satellite. We infer that the observed pattern of uplift and subsidence results from variations in the movement of molten basalt into and out of the Yellowstone volcanic system.
Malek, W., M. Inaba, H. Ono, Y. Kaneko, and Y. Murooka. 1998. ... Uddin, and W. McLaughlin. 1984. Characterization of indigenous rhizobia from wild legumes*. FEMS Microbiol. Lett. 24(2-3): 197-203.Amarger, N. 1981. ...doi:10.1016/j.apsoil.2020.103703 fatcat:4zydq4yytfc4pgkv4vdhn555ky
Problem behavior exhibited by individuals with autism can be disruptive to family traditions, such as decorating for the holidays. We present data for a 6-year-old girl who engaged in automatically reinforced pica and property destruction of holiday decorations. Treatment was evaluated within an ABCDCD reversal design. During baseline Phases A and B, we observed elevated rates of problem behavior. We implemented differential reinforcement of alternative behavior in Phase C to teach a responsedoi:10.1002/jaba.255 pmid:26380947 pmcid:PMC4860879 fatcat:nta2cjaqpzcqdoae5dhvf7l4r4
more »... compete with problem behavior. Little change in toy play or problem behavior occurred. In Phase D, we added a facial screen to the differential-reinforcement procedures, which resulted in increases in toy play and decreases in problem behavior. Findings are discussed in terms of how interventions for problem behavior can promote alternative behavior while facilitating household activities and traditions.
Daniel, W. W. Nonresponse in sociological surveys: A review of some methods for handling the problem. Sociological Methods and Research, 1975, 3, 291-307. Daniel, W. W., Brandt, E. ... WAYNE W. DANIEL ET AL. 67 Politz, A. and Simmons, W. An attempt to get the “‘not at homes”’ into the sample without call-backs, Part I. ...doi:10.1177/0013164482421007 fatcat:rqoeabk3obebzo2uj2jqo6clda
The causes and consequences of vertebrate natal dispersal have been studied extensively, yet little is known about the molecular mechanisms involved. We used RNA-seq to quantify transcriptomic gene expression in blood of wild yellow-bellied marmots (Marmota flaviventer) prior to dispersing from or remaining philopatric to their natal colony. We tested 3 predictions. First, we hypothesized dispersers and residents will differentially express genes and gene networks since dispersal isdoi:10.1093/beheco/ary175 pmid:30971856 pmcid:PMC6450206 fatcat:hqxzzj3etncqthsxpdqxdqrugu
more »... lly demanding. Second, we expected differentially expressed genes to be involved in metabolism, circadian processes, and immune function. Finally, in dispersing individuals, we predicted differentially expressed genes would change as a function of sampling date relative to dispersal date. We detected 150 differentially expressed genes, including genes that have critical roles in lipid metabolism and antigen defense. Gene network analysis revealed a module of 126 coexpressed genes associated with dispersal that was enriched for extracellular immune function. Of the dispersal-associated genes, 22 altered expression as a function of days until dispersal, suggesting that dispersal-associated genes do not initiate transcription on the same time scale. Our results provide novel insights into the fundamental molecular changes required for dispersal and suggest evolutionary conservation of functional pathways during this behavioral process.
W. W. Newcomb is with Republic Management Systems, Inc., Applications Project, Landover, MD 20785. IEEE Log Number 8407043. ...doi:10.1109/tgrs.1986.289647 fatcat:hepg6yj3crgj3jioxdljcutzlm
A person who reports a family history of W was 21.5 times more likely to have development of W. November 1995 ... Those with a history of phlebitis had a 6.3-fold increased risk of W. An even more influential determinant for W was a family history. ...doi:10.1016/s0741-5214(95)70050-1 pmid:7494366 fatcat:bboiksyt4bgyvosn7axiymxl64
In addition, a ratio of width to length (W/L) was calculated for each wound as a method of quantifying the shape of the wounds. A perfect circle has a W/L ratio of 1. ... The W/L decreases as the wound becomes more oblong. Healing rates were calculated for each wound with two methods. ... Statistical analysis was performed by Wayne W. LaMorte, MD, PhD, MPH. ...doi:10.1016/s0741-5214(96)80021-8 pmid:8601898 fatcat:ieqq3e4cknc3bcpocj73svc7wy
Wayne’, Bridgett vonHoldt*® and Douglas W. ... doi: 10.1111/j.1365-2656.2012.02039.x The adaptive value of morphological, behavioural and life-history traits in reproductive female wolves Daniel R. Stahler’*, Daniel R. MacNulty”, Robert K. ...doi:10.1111/j.1365-2656.2012.02039.x pmid:23043440 fatcat:d3vfbvnlofe6hhbin7xj4yw2va
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