Determinants of adherence to nutrition- related cancer prevention guidelines among African American breast cancer survivors

Background: Mortality rate for breast cancer is higher among African American (AA) women than for women of other racial/ethnic groups. Obesity, also higher among AA women, may increase the risk of breast cancer development and recurrence. Lifestyle factors such as healthy nutrition can reduce the rate of obesity and breast cancer. This study examined the determinants of adherence to nutrition-related cancer prevention guidelines among AA breast cancer survivors. Methods: AA breast cancer survivors (n=240) were recruited from a breast cancer support group to complete a lifestyle assessment tool for this cross-sectional study. Chi-square test and ordinal logistic regression analysis were used to examine the relationship between adherence to nutrition-related cancer prevention guidelines and potential predictors of adherence. Results: Majority of the survivors met the guideline for red and processed meat (n=191, 83.4%), but did not meet the guideline for fruits and vegetables (n=189, 80.4%). For survivors with annual household incomes \u3c $25,000, the odds of meeting or partially meeting the guideline for fruits and vegetables was 75.4$50,000 (OR= 0.25, 95% CI: 0.08, 0.80). Poor physical functioning (OR= 38.48, 95% CI: 2.26, 656.58), sleep disturbances (OR= 60.84, 95% CI: 1.61, 2296.02), and income \u3e $50,000 (OR= 51.02, 95% CI: 1.13, 2311.70) were associated with meeting the guideline for red and processed meat. Conclusions: Many AA breast cancer survivors are not meeting the nutrition-related cancer prevention guidelines. For this population, more interventions that enhance access to and consumption of healthy diets are needed

Time-Resolved in Situ Visualization of the Structural Response of Zeolites During Catalysis

Zeolites are three-dimensional aluminosilicates having unique properties from the size and connectivity of their sub-nanometer pores, the Si/Al ratio of the anionic framework, and the charge-balancing cations. The inhomogeneous distribution of the cations affects their catalytic performances because it influences the intra-crystalline diffusion rates of the reactants and products. However, the structural deformation regarding inhomogeneous active regions during the catalysis is not yet observed by conventional analytical tools. Here we employ in situ X-ray free electron laser-based time-resolved coherent X-ray diffraction imaging to investigate the internal deformations originating from the inhomogeneous Cu ion distributions in Cu-exchanged ZSM-5 zeolite crystals during the deoxygenation of nitrogen oxides with propene. We show that the interactions between the reactants and the active sites lead to an unusual strain distribution, confirmed by density functional theory simulations. These observations provide insights into the role of structural inhomogeneity in zeolites during catalysis and will assist the future design of zeolites for their applications

Biased recommendations from biased and unbiased experts

When can an expert be trusted to provide useful advice? We experimentally test a simplified recommendation game where an expert recommends one of two actions to a decision maker who may take either action or instead pursue an outside option. Consistent with predictions from the cheap talk literature, we find that decision makers partially discount recommendations for the action a biased expert favors, but that recommendations can still be persuasive in that they reduce the chance of the outside option. If the decision maker is uncertain whether the expert is biased toward an action, biased experts lie even more, while unbiased experts follow a political correctness strategy of recommending the opposite action so as to be more persuasive by appearing unbiased. Even if experts are known to be unbiased, experts pander by recommending the action that the decision maker already favors, and decision makers discount the recommendation. The results highlight that transparency of expert incentives can improve communication, but need not ensure unbiased advice

Impacts of deploying co-electrolysis of CO2 and H2O in the power generation sector: A case study for South Korea

This work analyzes the impacts of deploying a Power-to-Gas technology in the power generation sector in South Korea by 2050. The Power-to-Gas technology of interest is the low-temperature co-electrolysis of CO2 and H2O, which is an emerging technology for electrochemically converting them to syngas. Particularly, excess electricity available from intermittent renewable energy resources is intended to be the main energy source for the co-electrolysis. A conceptual design of the co-electrolysis process is carried out to calculate its performance data including mass balances, energy demand, and capital investment. Based on them, a temporal energy system model is developed using the TIMES (The Integrated MARKAL-EFOM System) model generator. The conclusion is that deploying the co-electrolysis process in the Korean power generation sector can reduce greenhouse gas emissions and also save the overall system cost when the syngas production cost is lower than the purchasing cost of liquid natural gas. The beneficial impacts are limited by the amount of available excess electricity and the co-firing ratio limit in the gas-fired power plants. Finally, the overpotential and current density, as uncertain parameters of the co-electrolysis process, are found to affect the syngas production cost most strongly

Wire Electrodes Embedded in Artificial Conduit for Long-term Monitoring of the Peripheral Nerve Signal

Massive efforts to develop neural interfaces have been made for controlling prosthetic limbs according to the will of the patient, with the ultimate goal being long-term implantation. One of the major struggles is that the electrode’s performance degrades over time due to scar formation. Herein, we have developed peripheral nerve electrodes with a cone-shaped flexible artificial conduit capable of protecting wire electrodes from scar formation. The wire electrodes, which are composed of biocompatible alloy materials, were embedded in the conduit where the inside was filled with collagen to allow the damaged nerves to regenerate into the conduit and interface with the wire electrodes. After implanting the wire electrodes into the sciatic nerve of a rat, we successfully recorded the peripheral neural signals while providing mechanical stimulation. Remarkably, we observed the external stimuli-induced nerve signals at 19 weeks after implantation. This is possibly due to axon regeneration inside our platform. To verify the tissue response of our electrodes to the sciatic nerve, we performed immunohistochemistry (IHC) and observed axon regeneration without scar tissue forming inside the conduit. Thus, our strategy has proven that our neural interface can play a significant role in the long-term monitoring of the peripheral nerve signal

Active site localization of methane oxidation on Pt nanocrystals

High catalytic efficiency in metal nanocatalysts is attributed to large surface area to volume ratios and an abundance of under-coordinated atoms that can decrease kinetic barriers. Although overall shape or size changes of nanocatalysts have been observed as a result of catalytic processes, structural changes at low-coordination sites such as edges, remain poorly understood. Here, we report high-lattice distortion at edges of Pt nanocrystals during heterogeneous catalytic methane oxidation based on in situ 3D Bragg coherent X-ray diffraction imaging. We directly observe contraction at edges owing to adsorption of oxygen. This strain increases during methane oxidation and it returns to the original state after completing the reaction process. The results are in good agreement with finite element models that incorporate forces, as determined by reactive molecular dynamics simulations. Reaction mechanisms obtained from in situ strain imaging thus provide important insights for improving catalysts and designing future nanostructured catalytic materials