Past studies have shown that exercise in the form of high intensity interval training (HIIT) is the "ideal form of exercise to improve health and performance without overstressing the immune system" (Fisher et. al, 2011, p. 5). Additionally, HIIT has been found to promote cardiovascular health and immunity (Fisher et. al, 2011). The proposed study will evaluate the neuropsychological effects of HIIT on breast cancer patients undergoing anthracycline-based chemotherapy. The intervention group (n = 17) will receive a HIIT protocol concurrent with chemotherapy treatment. There will also be a control group (n= 17) to compare the effects of the intervention. Breast cancer survivorship is often ridden with various health and mental problems, the implementation of HIIT procedures could help to reduce these issues. It is expected that knowledge from this study will be useful in the healthcare setting to benefit breast cancer patients. This study will uniquely add to the limited research base by introducing an intervention for neuropsychological declines in breast cancer patients.
Pay-for-performance (PFP) is a relatively new approach to agricultural conservation that attaches an incentive payment to quantified reductions in nutrient runoff from a participating farm. Similar to a payment for ecosystem services approach, PFP lends itself to providing incentives for the most beneficial practices at the field level. To date, PFP conservation in the U.S. has only been applied in small pilot programs. Because monitoring conservation performance for each field enrolled in a program would be cost-prohibitive, field-level modeling can provide cost-effective estimates of anticipated improvements in nutrient runoff. We developed a PFP system that uses a unique application of one of the leading agricultural models, the USDA’s Soil and Water Assessment Tool, to evaluate the nutrient load reductions of potential farm practice changes based on field-level agronomic and management data. The initial phase of the project focused on simulating individual fields in the River Raisin watershed in southeastern Michigan. Here we present development of the modeling approach and results from the pilot year, 2015-2016. These results stress that (1) there is variability in practice effectiveness both within and between farms, and thus there is not one “best practice” for all farms, (2) conservation decisions are made most effectively at the scale of the farm field rather than the sub-watershed or watershed level, and (3) detailed, field-level management information is needed to accurately model and manage on-farm nutrient loadings.
Supplemental information mentioned in the article is attached as a separate document.