Low-temperature methanation of fermentation gas with Ni-based catalysts in a multicomponent system

Abstract A large amount of greenhouse gases, such as carbon dioxide and methane, are released during the production process of bioethanol and biogas. Converting CO2 into methane is a promising way of capturing CO2 and generating high-value gas. At present, CO2 methanation technology is still in the early stage. It requires high temperature (300–400 ℃) and pressure (> 1 MPa), leading to high cost and energy consumption. In this study, a new catalyst, Ni–Fe/Al–Ti, was developed. Compared with the activity of the common Ni/Al2O3 catalyst, that of the new catalyst was increased by 1/3, and its activation temperature was reduced by 100℃. The selectivity of methane was increased to 99%. In the experiment using simulated fermentation gas, the catalyst showed good catalytic activity and durability at a low temperature and atmospheric pressure. Based on the characterization of catalysts and the study of reaction mechanisms, this article innovatively proposed a Ni–Fe/Al–Ti quaternary catalytic system. Catalytic process was realized through the synergism of Al–Ti composite support and Ni–Fe promotion. The oxygen vacancies on the surface of the composite carrier and the higher activity metals and alloys promoted by Fe accelerate the capture and reduction of CO2. Compared with the existing catalysts, the new Ni–Fe/Al–Ti catalyst can significantly improve the methanation efficiency and has great practical application potential

IL-30 protects against sepsis-induced myocardial dysfunction by inhibiting pro-inflammatory macrophage polarization and pyroptosis

Summary: Cardiac dysfunction is a well-recognized complication of sepsis and seriously affects the prognosis of sepsis patients. IL-30 has been reported to exert anti-inflammatory effects in various diseases. However, the role of IL-30 in sepsis-induced myocardial dysfunction (SIMD) remains unclear. Here, we explored the protective role of IL-30 in cecum ligation and puncture (CLP)-induced SIMD mice. IL-30 expression increased in the cardiac tissues of septic mice and was mainly derived from macrophages. IL-30 deletion or neutralization aggravated sepsis-induced cardiac dysfunction and injury, whereas recombinant IL-30 treatment significantly ameliorated it. Mechanistically, IL-30 deficiency exerts pro-inflammatory effects by promoting Ly6Chigh macrophage polarization and pyroptosis. Inhibiting NLRP3 with MCC950 significantly reversed cardiac dysfunction, macrophage polarization and pyroptosis aggravated by IL-30 deficiency. Recombinant IL-30 inhibited pro-inflammatory macrophage polarization and pyroptosis in vivo and vitro. Taken together, these results suggest that IL-30 protects against SIMD by inhibiting pro-inflammatory macrophage polarization and pyroptosis

Look who’s talking: gender differences in academic job talks

The “job talk” is a standard element of faculty recruiting. How audiences treat candidates for faculty positions during job talks could have disparate impact on protected groups, including women. We annotated 156 job talks from five engineering and science departments for 13 categories of questions and comments. All departments were ranked in the top 10 by US News & World Report. We find that differences in the number, nature, and total duration of audience questions and comments are neither material nor statistically significant. For instance, the median difference (by gender) in the duration of questioning ranges from zero to less than two minutes in the five departments. Moreover, in some departments, candidates who were interrupted more often were more likely to be offered a position, challenging the premise that interruptions are necessarily prejudicial. These results are specific to the departments and years covered by the data, but they are broadly consistent with previous research, which found differences comparable in magnitude. However, those studies concluded that the (small) differences were statistically significant. We present evidence that the nominal statistical significance is an artifact of using inappropriate hypothesis tests. We show that it is possible to calibrate those tests to obtain a proper P-value using randomization