4,300 research outputs found
On the Marginal Value of a Fish: Some Evidence from a Steelhead Fishery
Policymakers and other interested parties frequently request information on the recreational value of a fish. Although fishing valuation studies date back at least 25 years, most studies focus on the average value of a fish. If the purpose of such estimates is to measure the value of incremental changes in fish numbers, then use of average estimates may lead to an incorrect policy decisions. The objective of this analysis is to estimate the marginal value of a steelhead trout in a recreational fishery on the John Day River of Oregon. The study uses contingent valuation procedures to elicit willingness to pay estimates for improvements in fish numbers and success rates. For the anglers in this survey, the value of an additional steelhead is $6.65 under current catch conditions. This value is much lower than values currently used in public debates in the Pacific Northwest, but similar to some marginal values reported in the recent literature. Implications of these values relative to average values are discussed.Demand and Price Analysis, Environmental Economics and Policy, Research Methods/ Statistical Methods, Resource /Energy Economics and Policy,
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A bioeconomic analysis of altering instream flows anadromous fish production and competing demands for water in the John Day River basin, Oregon
The growing demand for water in the arid regions of the West
increases the need for optimal allocation of water among competing
uses. An efficient allocation of water between instream and out-of-stream
uses has been impeded by institutional constraints and the
scarcity of information regarding instream flow benefits. The
objectives of this thesis were to provide preliminary economic data on
the value of instream water in "producing" recreational fishing and to
examine the effect of forestry, agriculture, and livestock practices
on temporal streamflow patterns and anadromous fish production. The
steelhead trout (Salmo gairdneri) sport fishery within the John Day
River basin in north-central Oregon provided the setting for this
research.
The interdisciplinary methodology employed in estimating the
marginal value of water with respect to steelhead production consisted
of two tasks. The first task involved valuing a marginal change in
the quality of the steelhead recreational fishery. The contingent valuation method (CVM) was selected for this purpose. Both open- and
closed-ended willingness-to-pay (WTP) questions were included in a
questionnaire administered to John Day River steelhead anglers during
the 1986/87 steelhead fishing season. Survey data were analyzed to
arrive at individual and aggregate bid functions relating WTP to
expected angling success rates. Results indicate that, under current
conditions, the average angler is willing to pay approximately 0.56 per acre-foot for summer flows, 0.075 for spring flows. By including out-of-basin
benefits, these values increased to 0.19, and -10 to $24 per acre-foot.
However, nonuse values of steelhead, as well as the increased
production of other fish species (such as spring chinook salmon) were
not included in the instream water values. In addition, no attempt
was made at valuing instream water's contribution to boating, camping,
or other benefit-producing activities.
A secondary objective of this thesis was to briefly examine the
possible benefits accruing to other instream and out-of-stream users
due to an alteration in streamflow patterns. In addition, the impact
of activities by other resource users -- namely forestry, agriculture,
and livestock production --on anadromous fish production was
reviewed. Improper management practices by these activities can
negatively impact the aquatic and riparian ecosystems. While no firm
conclusions were drawn, it appears the quality of these ecosystems, as
opposed to the amount of streamflow, has the largest marginal impact
on anadromous fish populations
Increased Risk for Aplastic Anemia and Myelodysplastic Syndrome in Individuals Lacking Glutathione S-Transferase Genes
BACKGROUND: Aplastic anemia (AA) and myelodysplastic syndrome (MDS) are marrow failure states that may be associated with chromosomal instability. An absence of the glutathione S-transferase (GST) enzyme may genetically predispose individuals to AA or MDS. PROCEDURE AND RESULTS: To test this hypothesis, we determined the GSTM1 and GSTT1 genotypes in a total of 196 patients using multiplex PCR. The GSTT1 null genotype was found to be overrepresented in Caucasian, Asian, and Hispanic patients with either AA or MDS. We confirmed a difference in the expected frequency of the GSTM1 null genotype in Caucasian MDS patients. The double null GSTM1/GSTT1 genotype was also overrepresented in Caucasian AA and MDS patients. In our population, 26% of AA patients and 40% of MDS patients had a chromosomal abnormality identified by karyotype or FISH analyses for chromosomes 7 and 8. Patients with AA and the GSTT1 null genotype had an increased frequency of chromosomal abnormalities (P = 0.003). CONCLUSION: There seems to be an increased risk for AA and MDS in individuals lacking GSTT1 or both GSTM1/GSTT1
Infinite factorization of multiple non-parametric views
Combined analysis of multiple data sources has increasing application interest, in particular for distinguishing shared and source-specific aspects. We extend this rationale of classical canonical correlation analysis into a flexible, generative and non-parametric clustering
setting, by introducing a novel non-parametric hierarchical
mixture model. The lower level of the model describes each source with a flexible non-parametric mixture, and the top level combines these to describe commonalities of the sources. The lower-level clusters arise from hierarchical Dirichlet Processes, inducing an infinite-dimensional contingency table between the views. The commonalities between the sources are modeled by an infinite block
model of the contingency table, interpretable as non-negative factorization of infinite matrices, or as a prior for infinite contingency tables. With Gaussian mixture components plugged in for continuous measurements, the model is applied to two views of genes, mRNA expression and abundance of the produced proteins, to expose groups of genes that are co-regulated in either or both of the views.
Cluster analysis of co-expression is a standard simple way of screening for co-regulation, and the two-view analysis extends the approach to distinguishing between pre- and post-translational regulation
Mean Dietary Salt Intake in Urban and Rural Areas in India: A Population Survey of 1395 Persons.
BACKGROUND: The scientific evidence base in support of population-wide salt reduction is strong, but current high-quality data about salt intake levels in India are mostly absent. This project sought to estimate daily salt consumption levels in selected communities of Delhi and Haryana in north India and Andhra Pradesh in south India. METHODS AND RESULTS: In this study, 24-hour urine samples were collected using an age- and sex-stratified sampling strategy in rural, urban, and slum areas. Salt intake estimates were made for the overall population of each region and for major subgroups by weighting the survey data for the populations of Delhi and Haryana, and Andhra Pradesh. Complete 24-hour urine samples were available for 637 participants from Delhi and Haryana and 758 from Andhra Pradesh (65% and 68% response rates, respectively). Weighted mean population 24-hour urine excretion of salt was 8.59 g/day (95% CI 7.68-9.51) in Delhi and Haryana and 9.46 g/day (95% CI 9.06-9.85) in Andhra Pradesh (P=0.097). Estimates inflated to account for the minimum likely nonurinary losses of sodium provided corresponding estimates of daily salt intake of 9.45 g/day (95% CI 8.45-10.46) and 10.41 g/day (95% CI 9.97-10.84), respectively. CONCLUSIONS: Salt consumption in India is high, with mean population intake well above the World Health Organization recommended maximum of 5 g/day. A national salt reduction program would likely avert much premature death and disability
Discovery and Validation of a New Class of Small Molecule Toll-Like Receptor 4 (TLR4) Inhibitors
Many inflammatory diseases may be linked to pathologically elevated signaling via the receptor for lipopolysaccharide (LPS), toll-like receptor 4 (TLR4). There has thus been great interest in the discovery of TLR4 inhibitors as potential anti-inflammatory agents. Recently, the structure of TLR4 bound to the inhibitor E5564 was solved, raising the possibility that novel TLR4 inhibitors that target the E5564-binding domain could be designed. We utilized a similarity search algorithm in conjunction with a limited screening approach of small molecule libraries to identify compounds that bind to the E5564 site and inhibit TLR4. Our lead compound, C34, is a 2-acetamidopyranoside (MW 389) with the formula C17H27NO9, which inhibited TLR4 in enterocytes and macrophages in vitro, and reduced systemic inflammation in mouse models of endotoxemia and necrotizing enterocolitis. Molecular docking of C34 to the hydrophobic internal pocket of the TLR4 co-receptor MD-2 demonstrated a tight fit, embedding the pyran ring deep inside the pocket. Strikingly, C34 inhibited LPS signaling ex-vivo in human ileum that was resected from infants with necrotizing enterocolitis. These findings identify C34 and the β-anomeric cyclohexyl analog C35 as novel leads for small molecule TLR4 inhibitors that have potential therapeutic benefit for TLR4-mediated inflammatory diseases. © 2013 Neal et al
Frequency format diagram and probability chart for breast cancer risk communication: a prospective, randomized trial
<p>Abstract</p> <p>Background</p> <p>Breast cancer risk education enables women make informed decisions regarding their options for screening and risk reduction. We aimed to determine whether patient education regarding breast cancer risk using a bar graph, with or without a frequency format diagram, improved the accuracy of risk perception.</p> <p>Methods</p> <p>We conducted a prospective, randomized trial among women at increased risk for breast cancer. The main outcome measurement was patients' estimation of their breast cancer risk before and after education with a bar graph (BG group) or bar graph plus a frequency format diagram (BG+FF group), which was assessed by previsit and postvisit questionnaires.</p> <p>Results</p> <p>Of 150 women in the study, 74 were assigned to the BG group and 76 to the BG+FF group. Overall, 72% of women overestimated their risk of breast cancer. The improvement in accuracy of risk perception from the previsit to the postvisit questionnaire (BG group, 19% to 61%; BG+FF group, 13% to 67%) was not significantly different between the 2 groups (<it>P </it>= .10). Among women who inaccurately perceived very high risk (≥ 50% risk), inaccurate risk perception decreased significantly in the BG+FF group (22% to 3%) compared with the BG group (28% to 19%) (<it>P </it>= .004).</p> <p>Conclusion</p> <p>Breast cancer risk communication using a bar graph plus a frequency format diagram can improve the short-term accuracy of risk perception among women perceiving inaccurately high risk.</p
Adsorption of aldehyde-functional diblock copolymer spheres onto surface-grafted polymer brushes via dynamic covalent chemistry enables friction modification
Dynamic covalent chemistry has been exploited to prepare numerous examples of adaptable polymeric materials that exhibit unique properties. Herein, the chemical adsorption of aldehyde-functional diblock copolymer spherical nanoparticles onto amine-functionalized surface-grafted polymer brushes via dynamic Schiff base chemistry is demonstrated. Initially, a series of cis-diol-functional sterically-stabilized spheres of 30–250 nm diameter were prepared via reversible addition–fragmentation chain transfer (RAFT) aqueous dispersion polymerization. The pendent cis-diol groups within the steric stabilizer chains of these precursor nanoparticles were then oxidized using sodium periodate to produce the corresponding aldehyde-functional spheres. Similarly, hydrophilic cis-diol-functionalized methacrylic brushes grafted from a planar silicon surface using activators regenerated by electron transfer atom transfer radical polymerization (ARGET ATRP) were selectively oxidized to generate the corresponding aldehyde-functional brushes. Ellipsometry and X-ray photoelectron spectroscopy were used to confirm brush oxidation, while scanning electron microscopy studies demonstrated that the nanoparticles did not adsorb onto a cis-diol-functional precursor brush. Subsequently, the aldehyde-functional brushes were treated with excess small-molecule diamine, and the resulting imine linkages were converted into secondary amine bonds via reductive amination. The resulting primary amine-functionalized brushes formed multiple dynamic imine bonds with the aldehyde-functional diblock copolymer spheres, leading to a mean surface coverage of approximately 0.33 on the upper brush layer surface, regardless of the nanoparticle size. Friction force microscopy studies of the resulting nanoparticle-decorated brushes enabled calculation of friction coefficients, which were compared to that measured for the bare aldehyde-functional brush. Friction coefficients were reasonably consistent across all surfaces except when particle size was comparable to the size of the probe tip. In this case, differences were ascribed to an increase in contact area between the tip and the brush-nanoparticle layer. This new model system enhances our understanding of nanoparticle adsorption onto hydrophilic brush layers
The source ambiguity problem: Distinguishing the effects of grammar and processing on acceptability judgments
Judgments of linguistic unacceptability may theoretically arise from either grammatical deviance or significant processing difficulty. Acceptability data are thus naturally ambiguous in theories that explicitly distinguish formal and functional constraints. Here, we consider this source ambiguity problem in the context of Superiority effects: the dispreference for ordering a wh-phrase in front of a syntactically “superior” wh-phrase in multiple wh-questions, e.g., What did who buy? More specifically, we consider the acceptability contrast between such examples and so-called D-linked examples, e.g., Which toys did which parents buy? Evidence from acceptability and self-paced reading experiments demonstrates that (i) judgments and processing times for Superiority violations vary in parallel, as determined by the kind of wh-phrases they contain, (ii) judgments increase with exposure, while processing times decrease, (iii) reading times are highly predictive of acceptability judgments for the same items, and (iv) the effects of the complexity of the wh-phrases combine in both acceptability judgments and reading times. This evidence supports the conclusion that D-linking effects are likely reducible to independently motivated cognitive mechanisms whose effects emerge in a wide range of sentence contexts. This in turn suggests that Superiority effects, in general, may owe their character to differential processing difficulty
Estimating population salt intake in India using spot urine samples
Objective: To compare estimates of mean population salt intake in North and South India derived from spot urine samples versus 24-h urine collections. Methods: In a cross-sectional survey, participants were sampled from slum, urban and rural communities in North and in South India. Participants provided 24-h urine collections, and random morning spot urine samples. Salt intake was estimated from the spot urine samples using a series of established estimating equations. Salt intake data from the 24-h urine collections and spot urine equations were weighted to provide estimates of salt intake for Delhi and Haryana, and Andhra Pradesh. Results: A total of 957 individuals provided a complete 24-h urine collection and a spot urine sample. Weighted mean salt intake based on the 24-h urine collection, was 8.59 (95% confidence interval 7.73-9.45) and 9.46 g/day (8.95-9.96) in Delhi and Haryana, and Andhra Pradesh, respectively. Corresponding estimates based on the Tanaka equation [9.04 (8.63-9.45) and 9.79 g/day (9.62-9.96) for Delhi and Haryana, and Andhra Pradesh, respectively], the Mage equation [8.80 (7.67-9.94) and 10.19 g/day (95% CI 9.59-10.79)], the INTERSALT equation [7.99 (7.61-8.37) and 8.64 g/day (8.04-9.23)] and the INTERSALT equation with potassium [8.13 (7.74-8.52) and 8.81 g/day (8.16-9.46)] were all within 1 g/day of the estimate based upon 24-h collections. For the Toft equation, estimates were 1-2 g/day higher [9.94 (9.24-10.64) and 10.69 g/day (9.44-11.93)] and for the Kawasaki equation they were 3-4 g/day higher [12.14 (11.30-12.97) and 13.64 g/day (13.15-14.12)]. Conclusion: In urban and rural areas in North and South India, most spot urine-based equations provided reasonable estimates of mean population salt intake. Equations that did not provide good estimates may have failed because specimen collection was not aligned with the original method
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