Scale-dependent variation in coral community similarity across sites, islands, and island groups

Community similarity is the proportion of species richness in a region that is shared on average among communities within that region. The slope of local richness (α diversity) regressed on regional richness (γ diversity) can serve as an index of community similarity across regions with different regional richness. We examined community similarity in corals at three spatial scales (among transects at a site, sites on an island, and islands within an island group) across a 10 000-km longitudinal diversity gradient in the west-central Pacific Ocean. When α diversity was regressed on γ diversity, the slopes, and thus community similarity, increased with scale (0.085, 0.261, and 0.407, respectively) because a greater proportion of γ diversity was subsumed within α diversity as scale increased. Using standard randomization methods, we also examined how community similarity differed between observed and randomized assemblages and how this difference was affected by spatial separation of species within habitat types and specialization of species to three habitat types (reef flats, crests, and slopes). If spatial separation within habitat types and/or habitat specialization (i.e., underdispersion) occurs, fewer species are shared among assemblages than the random expectation. When the locations of individual coral colonies were randomized within and among habitat types, community similarity was 46–47% higher than that for observed assemblages at all three scales. We predicted that spatial separation of coral species within habitat types should increase with scale due to dispersal/extinction dynamics in this insular system, but that specialization of species to different habitat types should not change because habitat differences do not change with scale. However, neither habitat specialization nor spatial separation within habitat types differed among scales. At the two larger scales, each accounted for 22–24% of the difference in community similarity between observed and randomized assemblages. At the smallest scale (transect–site), neither spatial separation within habitat types nor habitat specialization had significant effects on community similarity, probably due to the small size of transect samples. The results suggest that coral species can disperse among islands in an island group as easily as they can among sites on an island over time scales that are relevant to their establishment and persistence on reefs

Engineering education for sustainable development: A review of international progress

Since the late 1980s there have been increasing calls around the world for embedding sustainability content throughout engineering curricula, particularly over the past decade. However in general there has been little by way of strategic or systematic integration within programs offered by higher education institutions (HEIs). Responding to a growing awareness towards the issues surrounding sustainability, a number of professional engineering institutions (PEIs) internationally have placed increasing emphasis on policies and initiatives relating to the role of engineering in addressing 21st Century challenges. This has resulted in some consideration towards integrating sustainable development into engineering curricula as envisaged by accreditation guidelines. This paper provides a global overview of such accreditation developments, highlighting emerging sustainability competencies (or ‘graduate attributes’) and places these in the context of relevant PEI declarations, initiatives, policies, codes of ethics and guideline publications

Achievement of combined goals of low-density lipoprotein cholesterol and non-high-density lipoprotein cholesterol with three different statins: Results from VOYAGER

AbstractBackgroundGuidelines suggest that the combination of low-density lipoprotein cholesterol (LDL-C) and non-high-density lipoprotein cholesterol (non-HDL-C) is the most clinically relevant goal for lipid-lowering treatments.MethodsData from VOYAGER, an individual patient data meta-analysis including 32,258 patients from 37 clinical trials, was used to determine the percentage of patients reaching combined goals of LDL-C and non-HDL-C following treatment with simvastatin, atorvastatin, or rosuvastatin. Paired comparisons were made between each dose of rosuvastatin and the same or higher doses of simvastatin and atorvastatin.ResultsEach dose of rosuvastatin brought significantly more patients to the combined goal of LDL-C < 100 mg/dL and non-HDL-C < 130 mg/dL than the same or double dose of atorvastatin; atorvastatin 80 mg was significantly superior to rosuvastatin 10 mg (all p < 0.001). Each dose of rosuvastatin helped significantly more patients reach the combined goal than any dose of simvastatin (all p < 0.001), except for rosuvastatin 10 mg versus simvastatin 80 mg (non-significant). Also, each dose of rosuvastatin helped significantly more patients to reach the combined goal of LDL-C < 70 mg/dL and non-HDL-C < 100 mg/dL than the same or double dose of atorvastatin (all p < 0.001). Every dose of rosuvastatin was significantly superior to all doses of simvastatin (all p ≤ 0.020), except for rosuvastatin 10 mg versus simvastatin 40 mg and 80 mg (non-significant).ConclusionsPhysicians' choice of statin and dose is important in helping patients achieve the combined LDL-C and non-HDL-C goals recommended in established guidelines

Achievement of combined goals of low-density lipoprotein cholesterol and non-high-density lipoprotein cholesterol with three different statins: results from VOYAGER

Background: Guidelines suggest that the combination of low-density lipoprotein cholesterol (LDL-C) and non-high-density lipoprotein cholesterol (non-HDL-C) is the most clinically relevant goal for lipid-lowering treatments. Methods: Data from VOYAGER, an individual patient data meta-analysis including 32,258 patients from 37 clinical trials, was used to determine the percentage of patients reaching combined goals of LDL-C and non-HDL-C following treatment with simvastatin, atorvastatin, or rosuvastatin. Paired comparisons were made between each dose of rosuvastatin and the same or higher doses of simvastatin and atorvastatin. Results: Each dose of rosuvastatin brought significantly more patients to the combined goal of LDL-C < 100 mg/dL and non-HDL-C < 130 mg/dL than the same or double dose of atorvastatin; atorvastatin 80 mg was significantly superior to rosuvastatin 10 mg (all p < 0.001). Each dose of rosuvastatin helped significantly more patients reach the combined goal than any dose of simvastatin (all p < 0.001), except for rosuvastatin 10 mg versus simvastatin 80 mg (non-significant). Also, each dose of rosuvastatin helped significantly more patients to reach the combined goal of LDL-C < 70 mg/dL and non-HDL-C < 100 mg/dL than the same or double dose of atorvastatin (all p < 0.001). Every dose of rosuvastatin was significantly superior to all doses of simvastatin (all p ≤ 0.020), except for rosuvastatin 10 mg versus simvastatin 40 mg and 80 mg (non-significant). Conclusions: Physicians' choice of statin and dose is important in helping patients achieve the combined LDL-C and non-HDL-C goals recommended in established guidelines.Björn W. Karlson, Peter P. Toth, Michael K. Palmer, Philip J. Barter, Stephen J. Nicholl

Genetic Risk Score Predicting Risk of Rheumatoid Arthritis Phenotypes and Age of Symptom Onset

Cumulative genetic profiles can help identify individuals at high-risk for developing RA. We examined the impact of 39 validated genetic risk alleles on the risk of RA phenotypes characterized by serologic and erosive status.We evaluated single nucleotide polymorphisms at 31 validated RA risk loci and 8 Human Leukocyte Antigen alleles among 542 Caucasian RA cases and 551 Caucasian controls from Nurses' Health Study and Nurses' Health Study II. We created a weighted genetic risk score (GRS) and evaluated it as 7 ordinal groups using logistic regression (adjusting for age and smoking) to assess the relationship between GRS group and odds of developing seronegative (RF- and CCP-), seropositive (RF+ or CCP+), erosive, and seropositive, erosive RA phenotypes. In separate case only analyses, we assessed the relationships between GRS and age of symptom onset. In 542 RA cases, 317 (58%) were seropositive, 163 (30%) had erosions and 105 (19%) were seropositive with erosions. Comparing the highest GRS risk group to the median group, we found an OR of 1.2 (95% CI = 0.8-2.1) for seronegative RA, 3.0 (95% CI = 1.9-4.7) for seropositive RA, 3.2 (95% CI = 1.8-5.6) for erosive RA, and 7.6 (95% CI = 3.6-16.3) for seropositive, erosive RA. No significant relationship was seen between GRS and age of onset.Results suggest that seronegative and seropositive/erosive RA have different genetic architecture and support the importance of considering RA phenotypes in RA genetic studies

The potential for mass trapping Lygus rugulipennis and Anthonomus rubi; trap design and efficacy

Cross vane funnel bucket traps with water and detergent captured significantly more A. rubi than sticky traps. L. rugulipennis catches were higher in the cross vane traps, but catches were impeded by the bee excluder grid. There were fewer of the target pest species captured on sticky traps and these devices tended to capture significantly more by-catch (e.g. Diptera) including beneficial insects, e.g. spiders and Carabidae. In the second experiment, the height of the green cross vane had no effect on the numbers of male L. rugulipennis trapped in the funnel traps. However, the higher cross vanes captured more coccinelids and opiliones. In the A. rubi trials there were significantly more individuals in the full height cross vane compared to the half-height or no cross vane treatments. Hence, the most effective trap for A. rubi and L. rugulipennis is a green Unitrap with no bee excluder grid. We are currently testing this device for mass trapping of both pests