Cross-sectional associations between multiple plasma heavy metals and lung function among elderly Chinese.

Environmental exposure to heavy metals may adversely affect lung function particularly in the elderly. However, limited data are available directly evaluating the relationship of heavy metal exposures with lung function in Chinese elderly. We aimed to investigate the associations between plasma metals and lung function among Chinese elderly residents.

Numerical study of terahertz radiation from N-polar AlGaN/GaN HEMT under asymmetric boundaries.

In this paper, we have studied the electrical excitation of plasma-wave in N-polar AlGaN/GaN high electron mobility transistors (HEMT) under asymmetric boundaries leads to terahertz emission. Numerical calculations are conducted through the simultaneous solution of Maxwell's equations and the self-consistent hydrodynamic model. By employing this method, we solved the plasma-wave model in the channel of an N-polar AlGaN/GaN HEMT.

Asymmetric D-A-D' Ratiometric Molecule for Highly Specific Hypochlorous Acid Detection.

Hypochlorous acid exists as HClO in acidic conditions and as ClO in alkaline conditions, posing a significant challenge for differentiation due to their strong and closely similar oxidative reaction activities. Addressing this challenge, our study presents an asymmetric donor-acceptor-donor' (D-A-D') molecular architecture for the design of a fluorescent probe ( NPs) that demonstrates exceptionally high specificity toward HClO alongside an optimized ratiometric response. The incorporation of the strong electron acceptor 2-(diphenylmethylene)malononitrile (A) modulates the reducing ability of the phenothiazine recognition site, adjusting the probe's oxidation potential to an intermediate level between HClO and ClO.

Seq2Topt: a sequence-based deep learning predictor of enzyme optimal temperature.

An accurate deep learning predictor is needed for enzyme optimal temperature (${T}_{opt}$), which quantitatively describes how temperature affects the enzyme catalytic activity. In comparison with existing models, a new model developed in this study, Seq2Topt, reached a superior accuracy on ${T}_{opt}$ prediction just using protein sequences (RMSE = 12.26°C and R2 = 0.