Applying patient-centered methodology to melanoma patients from the National Cancer Database to predict more accurately their sentinel lymph node biopsy outcome

Journal of the American Academy of Dermatology · 2025-12-11

Figure S5 from Nuclear Receptor Coactivator NCOA3 Regulates UV Radiation–Induced DNA Damage and Melanoma Susceptibility

2023-03-31

<p>Supplementary Figure 5</p>

Figure S4 from Nuclear Receptor Coactivator NCOA3 Regulates UV Radiation–Induced DNA Damage and Melanoma Susceptibility

2023-03-31

<p>Supplementary Figure 4</p>

Figure S6 from Nuclear Receptor Coactivator NCOA3 Regulates UV Radiation–Induced DNA Damage and Melanoma Susceptibility

2023-03-31

<p>Supplementary Figure 6</p>

Table S1 from Nuclear Receptor Coactivator NCOA3 Regulates UV Radiation–Induced DNA Damage and Melanoma Susceptibility

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<p>Supplementary Table 1</p>

Figure S8 from Nuclear Receptor Coactivator NCOA3 Regulates UV Radiation–Induced DNA Damage and Melanoma Susceptibility

2023-03-31

<p>Supplementary Figure 8</p>

Figure S3 from Nuclear Receptor Coactivator NCOA3 Regulates UV Radiation–Induced DNA Damage and Melanoma Susceptibility

2023-03-31

<p>Supplementary Figure 3</p>

Moderate Grazer Density Stabilizes Forage Availability More Than Patch Burning in Low-Stature Grassland

Land · 2021-04-09 · 7 citations

Spatially patchy fire creates landscape-level diversity that in turn stabilizes several rangeland ecosystem services, including forage production and habitat availability. To enhance biodiversity and livestock production, efforts are underway to restore fire regimes in rangelands throughout the Great Plains. However, invasive species such as tall fescue Schedonorus arundinaceus syn. Festuca arundinacea, initially introduced for forage production, hamper prescribed fire use. Grazer density, or stocking rate, modulates the effect of patchy fire regimes on ecological patterns in invaded, semi-natural rangeland pastures. We compare three diversity–stability responses—temporal variability in aboveground plant biomass, portfolio effects among plant functional groups, and beta diversity in plant functional group composition—in pastures managed with two different fire regimes through three periods of heavy, light, and moderate stocking rate in southern Iowa, USA. Pastures were either burned in patches, with one-third of the pasture burned each year, or completely burned every third year. The period of moderate grazer density had the least temporal variability in aboveground plant biomass, regardless of fire regime. We also found statistical evidence for a portfolio effect under moderate stocking, where diversification of plant communities through varying cover of functional groups can stabilize communities by reducing year-to-year variability. Beta diversity among plant functional groups was greatest during the moderate grazer density period as well. The short stature of tall fescue prevented the patch-burning regime to create contrast in vegetation structure among patches, and there was no difference in any diversity–stability mechanism response across the two different patterns of burning. Although longitudinal, these data suggest that temporal variability in aboveground plant biomass declines with diversity–stability mechanisms that underlie ecosystem function. Our results also support a decades-old principle of range management: moderate grazing intensity enhances diversity and stability, which has been shown to buffer forage shortfalls during drought.

Maintenance of <i>Borrelia burgdorferi</i> among vertebrate hosts: a test of dilution effect mechanisms

Ecosphere · 2020-02-01 · 18 citations

Abstract A better understanding of the mechanisms through which host diversity can influence reservoir pathogen infection is needed to mitigate disease risk. Efforts may involve computational modeling, especially since it is infeasible to perform large‐scale experimental studies of different host composition scenarios in natural settings. We used individual‐based models to examine how changes in host diversity characterized by differences in host reservoir competency for both Ixodes scapularis and Borrelia burgdorferi can influence the maintenance of the pathogen and subsequent human Lyme disease risk. We simulated 1440 different host communities, with 10 repetitions each, consisting of varying densities of Peromyscus leucopus (white‐footed mouse, 0–50), Tamias striatus (eastern chipmunk, 0–30), Blarina brevicauda ( short‐tailed shrew, 0–30), Sciurus carolinensis (eastern gray squirrel, 0–15), and Didelphis virginiana (Virginia opossum, 0–2). We then quantified support for three mechanisms (i.e., vector regulation, encounter reduction, and transmission reduction) through which biodiversity–disease relationships occurred using species richness, Shannon H diversity, and host abundance. For each of the dilution effect mechanisms, host abundance was consistently the best‐supported predictor of disease risk. In our model, a dilution effect occurred via vector regulation and transmission reduction, where increasing both species richness and host abundance reduced both density of nymphs ( DON ) and density of infected nymphs ( DIN ). However, if disease risk is measured solely by calculating nymphal infection prevalence ( NIP ), it may seem that host diversity amplifies disease risk. Understanding the mechanisms through which the wildlife host community influences pathogen transmission cycles in nature will help foster effective control and reduction of disease risk in humans.

Sharpening the Precision of Pest Management Decisions: Assessing Variability Inherent in Catch Number and Absolute Density Estimates Derived from Pheromone-Baited Traps Monitoring Insects Moving Randomly

Journal of Economic Entomology · 2020-07-03 · 15 citations

Abstract During a trapping study interval, each target insect is either caught or not caught. Therefore, the current analysis treats trapping as a binomial process. Data from a binomial calculator, along with computer simulations of random walkers, documented that the inherent variance associated with estimates of absolute population density generated by a single catch number in a pheromone-baited monitoring trap becomes very high when catch probability averaged across the trap’s sampling area falls below 0.02, as is the case for most insect trapping systems operating in the open field. The imprecision associated with interpretations of single catch numbers renders many current pest management decisions risky and unsatisfactory. Here we reinforce how single-trap, multiple-release experiments can and should be used to measure catch probability, plume reach, and trap sampling area. When catch probability lies in the danger zone below 0.02, steps are suggested for how multiple traps might be deployed to raise composite catch probability to a level where estimates of absolute pest density become reliable. Heat transfer is offered as an appropriate conceptual model for the mechanics of trapping. A call is made for a radical rethinking in the designs of insect monitoring traps in light of their significant current deficits highlighted by this study.