Hong Liu

Bio: Hong Liu is an academic researcher from Shandong University. The author has contributed to research in topics: Medicine & Materials science. The author has an hindex of 100, co-authored 1905 publications receiving 57561 citations. Previous affiliations of Hong Liu include Shanghai University & Guangzhou University.

An Ultrafast Self‐Polarization Effect in Barium Titanate Filled Poly(Vinylidene Fluoride) Composite Film Enabled by Self‐Charge Excitation Triboelectric Nanogenerator

Abstract: Although charge excitation is an effective approach to achieve high charge density for triboelectric nanogenerators (TENGs), high output charge is limited by air‐breakdown. Due to capacitor structure, there are two ways to reduce the influence of air‐breakdown in TENG: decrease in thickness and increase in permittivity of dielectric film. Obviously, the increase in permittivity is more reliable in applications. Herein, a double‐layer TENG shared with one floating metal electrode is proposed, on which charge is injected by a self‐excitation circuit. An ultrafast self‐polarization effect is found in two barium titanate filled poly(vinylidene fluoride) composite films in the TENG by high electrical field produced from the floating electrode. According to comparison and analysis, the speed of polarization to saturation of dielectric composite films in self‐charge excitation approach is ≈3 times faster than that of external‐charge excitation. Optimization of various parameters is investigated to enhance the output performance of the TENG. A large output charge density of 1.67 mC m–2 is achieved in the atmosphere with 40% relative humidity due to self‐polarization effect of the dielectric composite film. This study provides insights into understanding the polarized behavior of molecules in dielectrics and further optimizing the output performance of TENGs in self‐charge excitation systems.

Optimizing chemical reaction conditions using deep learning: a case study for the Suzuki–Miyaura cross-coupling reaction

Abstract: Here we report a feasibility study of a deep learning model for exploring the optimal reaction conditions for given chemical reactions. The model was trained to learn the relationships between the chemical contexts, reaction conditions and product yields based on high-quality existing experimental data, and then extrapolate reasonably to unseen reactions by in silico exploration of accessible reaction space. This strategy was applied to the Suzuki–Miyaura cross-coupling reaction to find the best catalysts for given reactants and at the same time to discover the optimum combination of the reaction conditions. We demonstrated that the trained model was able to determine the productive catalysts as well as the most favorable catalyst loading and reaction temperature for both modeled reactions and external unseen reactions. This work aims to provide an insight into the feasibility of introducing a deep learning method in the optimization of chemical reaction conditions.

Hydrogen sulfide attenuates renal fibrosis by inducing TET-dependent DNA demethylation on Klotho promoter

Abstract: Hypoxia is a key pathogenetic characteristic of chronic kidney disease (CKD). Klotho has renoprotective effect and its expression is commonly suppressed in CKD patients. We showed that chronic hypoxia in unilateral ureteral obstruction model mice is associated with renal Klotho promoter methylation and expression silencing. Administration of low-dose of sodium hydrosulfide (NaHS) effectively ameliorated renal tubulointerstitial fibrosis in the mouse model by demethylating Klotho promoter and restoring its expression. Mechanistically, hypoxia microenvironment in CKD reduced cellular oxygen availability and Fe2+ concentration, and led to impaired activity of ten-eleven translocation (TET), which is critical in maintaining Klotho promoter demethylation status. NaHS treatment greatly improved hypoxia condition, restored TET activity, reversed DNA methylation, and thus, increased Klotho expression. Our results strongly suggested that correcting hypoxia condition to restore TET activity could be a promising therapeutic strategy against CKD.

Frontispiece: Watching Microwave‐Induced Microscopic Hot Spots via the Thermosensitive Fluorescence of Europium/Terbium Mixed‐Metal Organic Complexes

Abstract: Microwave Chemistry. In their Research Article (e202114340), Hong Li, Xin Gao et al. report the detection of microwave-induced hot spots in liquid solutions with a fluorescence thermometer attached on microwave-absorbing carbon particles.

I and i

Abstract: There is, I think, something ethereal about i —the square root of minus one. I remember first hearing about it at school. It seemed an odd beast at that time—an intruder hovering on the edge of reality. Usually familiarity dulls this sense of the bizarre, but in the case of i it was the reverse: over the years the sense of its surreal nature intensified. It seemed that it was impossible to write mathematics that described the real world in …

疟原虫var基因转换速率变化导致抗原变异[英]／Paul H, Robert P, Christodoulou Z, et al//Proc Natl Acad Sci U S A

Abstract: 抗原变异可使得多种致病微生物易于逃避宿主免疫应答。表达在感染红细胞表面的恶性疟原虫红细胞表面蛋白1（PfPMP1）与感染红细胞、内皮细胞、树突状细胞以及胎盘的单个或多个受体作用，在黏附及免疫逃避中起关键的作用。每个单倍体基因组var基因家族编码约60种成员，通过启动转录不同的var基因变异体为抗原变异提供了分子基础。

The chemistry of two-dimensional layered transition metal dichalcogenide nanosheets

Abstract: Ultrathin two-dimensional nanosheets of layered transition metal dichalcogenides (TMDs) are fundamentally and technologically intriguing. In contrast to the graphene sheet, they are chemically versatile. Mono- or few-layered TMDs - obtained either through exfoliation of bulk materials or bottom-up syntheses - are direct-gap semiconductors whose bandgap energy, as well as carrier type (n- or p-type), varies between compounds depending on their composition, structure and dimensionality. In this Review, we describe how the tunable electronic structure of TMDs makes them attractive for a variety of applications. They have been investigated as chemically active electrocatalysts for hydrogen evolution and hydrosulfurization, as well as electrically active materials in opto-electronics. Their morphologies and properties are also useful for energy storage applications such as electrodes for Li-ion batteries and supercapacitors.