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5% is achieved for flexible PeLEDs based on green-emitting CsPbBr3 perovskite.Catalytic decomposition of the hydrogen-rich hydrazine monohydrate (N2H4·H2O) represents a promising hydrogen stor-age/production technology. A rational design of advanced N2H4·H2O decomposition catalysts requires an overall consideration of intrinsic activity, number and accessibility of active sites. We herein report the synthesis of a hierarchically nanostructured NiPt/N-doped carbon catalyst using a three-step method that can simultaneously address these issues. The chelation of metal precursors with polydopamine and thermolysis of the resulting complexes under reductive atmosphere resulted in a concurrent formation of N-doped carbon substrate and catalytically active NiPt alloy nanoparticles. Thanks to the usage of silica nanosphere template and dopamine precursor, the N-doped carbon substrate possesses a hierarchical macroporous-mesoporous architecture. This, together with the uniform dispersion of tiny NiPt nanoparticles on the carbon substrate, offers opportunity for creating abundant and acces-sible active sites. Benefiting from these favorable attributes, the NiPt/N-doped carbon catalyst enables a complete and rapid hy-drogen production from alkaline N2H4·H2O solution with a rate of 1602 h-1 at 50 oC, which outperforms most existing catalysts for NN2H4·H2O decomposition.We developed a facile strategy for the fabrication of dual-emission carbon nanodots (CDs) and demonstrated their applications for ratiometric glutathione (GSH) sensing and for differentiating cancer cells from normal cells. Dual-emission CDs were synthesized using a simple hydrothermal treatment of alizarin carmine as the carbon source, manifesting intriguing dual-emission behavior at 430 and 642 nm. With increasing GSH concentration, the fluorescence band at 430 nm increased gradually, whereas that at 642 nm decreased slightly. With monitoring of the intrinsic ratiometric fluorescence variation (I430nm/I642nm), as-prepared CDs were developed as an effective platform for ratiometric fluorescent GSH sensing, with a linear range of 1-10 to 25-150 μM and a detection limit of 0.26 μM. More importantly, confocal fluorescent imaging of cancer cells and normal cells indicated that obtained CDs could be implemented as an effective tool to visualize cancer cells with overexpressing GSH.Alveolar macrophage (AM) injury and inflammatory response are key processes in pathological damage caused by silica. However, the role of triiodothyronine (T3) in silica-induced AM oxidative stress, inflammation, and mitochondrial apoptosis remained unknown. To investigate the possible effects and underlying mechanism of T3 in silica-induced macrophage damage, differentiated human acute monocytic leukemia cells (THP-1) were exposed to different silica concentrations (0, 50, 100, 200, and 400 μg/mL) for 24 h. Additionally, silica-activated THP-1 macrophages were treated with gradient-dose T3 (0, 5, 10, 20, and 40 nM) for 24 h. To illuminate the potential mechanism, we used short hairpin RNA to knock down the thyroid hormone receptor α (TRα) in the differentiated THP-1 macrophages. The results showed that T3 decreased lactate dehydrogenase and reactive oxygen species levels, while increasing cell viability and superoxide dismutase in silica-induced THP-1 macrophages. In addition, silica increased the expression of interleukin 1 beta (IL-1β), interleukin 6 (IL-6), and tumor necrosis factor-α (TNF-α), and T3 treatment reduced those pro-inflammatory cytokines secretion. Compared with silica-alone treated groups, cells treated with silica and T3 restored the mitochondrial membrane potential loss and had reduced levels of cytochrome c and cleaved caspase-3 expressions. Lastly, we observed that TRα-knockdown inhibited the protective effects of T3 silica-induced THP-1 macrophages. Together, these findings revealed that T3 could serve as a potential therapeutic target for protection against silica-induced oxidative stress, inflammatory response, and mitochondrial apoptosis, which are mediated by the activation of the T3/TRα signal pathway.Controlling the thermal conductivity of semiconductors is of practical interest in optimizing the performance of thermoelectric and phononic devices. The insertion of inclusions of nanometer size in a semiconductor is an effective means of achieving such control; it has been proposed that the thermal conductivity of silicon could be reduced to 1 W/m/K using this approach and that a minimum in the heat conductivity would be reached for some optimal size of the inclusions. Yet the experimental verification of this design rule has been limited. In this work, we address this question by studying the thermal properties of silicon metalattices that consist of a periodic distribution of spherical inclusions with radii from 7 to 30 nm, embedded into silicon. Experimental measurements confirm that the thermal conductivity of silicon metalattices is as low as 1 W/m/K for silica inclusions and that this value can be further reduced to 0.16 W/m/K for silicon metalattices with empty pores. A detailed model of ballistic phonon transport suggests that this thermal conductivity is close to the lowest achievable by tuning the radius and spacing of the periodic inhomogeneities. This study is a significant step in elucidating the scaling laws that dictate ballistic heat transport at the nanoscale in silicon and other semiconductors.Measurement of pH is an integral component of chemical studies and process control; however, traditional pH probes are difficult to utilize in harsh or complex chemical systems. Optical spectroscopy-based online monitoring offers a powerful and novel route for characterizing system parameters, such as pH, and is well adapted to deployment in harsh environments or chemically complex systems. Specifically, Raman spectroscopy combined with chemometric analysis can provide an improved method of online p[H+] measurement. 1-NM-PP1 in vivo Multivariate curve resolution (MCR) analysis of Raman spectra can be utilized to determine speciation as a function of p[H+], and the MCR scores assigned to each species can be used to calculate p[H+]. Subsequent chemometric modeling can be used to correlate spectral response to p[H+]. This was demonstrated with phosphoric acid, a chemical system known to challenge traditional pH probes. Raman spectra exhibit clear changes with pH due to changing speciation, and chemometric modeling can be successfully utilized to correlate those fingerprints to p[H+].