Effects of feeding and aeration strategies on NO production and emission by an aerobic granular sludge system for municipal wastewater treatment.

The effects of a single feeding cycle followed by a continuous aeration phase (AND) and a step-feeding cycle followed by intermittent aerobic/idle phases (AND) on the production and emission of nitrous oxide (NO) from aerobic granular sludge (AGS) from real domestic sewage were studied. Higher NO emissions were observed in the AND treatment, and 9.2 ± 4.

Effects of a worksite labor gymnastics program on novice and experienced workers.

Introduction: Worksite labor gymnastics programs are interventions that can positively affect industrial workers. Studies show that experienced and novice workers perceive their working conditions differently. Our premise is that labor gymnastics programs affect these two groups diversely.

p14 forms meso-scale assemblies upon phase separation with NPM1.

NPM1 is an abundant nucleolar chaperone that, in addition to facilitating ribosome biogenesis, contributes to nucleolar stress responses and tumor suppression through its regulation of the p14 Alternative Reading Frame tumor suppressor protein (p14). Oncogenic stress induces p14 to inhibit MDM2, stabilize p53 and arrest the cell cycle. Under non-stress conditions, NPM1 stabilizes p14 in nucleoli, preventing its degradation and blocking p53 activation.

Extended conformations of bifurcating electron transfer flavoprotein constitute up to half the population, possibly mediating conformational change.

Electron transfer bifurcation enables biological systems to drive unfavourable (endergonic) electron transfer by coupling it to favourable (exergonic) transfer of a second electron. In electron transfer flavoproteins (ETFs), a domain-scale conformational change is believed to sever the favourable pathway after a single electron has used it, thereby preventing the energy dissipation that would accompany exergonic transfer of the second electron. To understand the conformation change that participates in turnover, we have deployed small-angle neutron scattering (SANS) and computational techniques to characterize the bifurcating ETF from (ETF).

Enhancing the Detection of Social Desirability Bias Using Machine Learning: A Novel Application of Person-Fit Indices.

Social desirability bias (SDB) is a common threat to the validity of conclusions from responses to a scale or survey. There is a wide range of person-fit statistics in the literature that can be employed to detect SDB. In addition, machine learning classifiers, such as logistic regression and random forest, have the potential to distinguish between biased and unbiased responses.