Plasmonic excitation of Au nanoparticles deposited on a MoS2 monolayer changes the absorption and photoluminescence characteristics of the material. Hot electrons generated from the Au nanoparticles are transferred into the MoS2 monolayers, resulting in n-doping. The doping effect of plasmonic hot electrons modulates the dielectric permittivity of materials, resulting in a red shift of both the absorption and the photoluminescence spectrum. This spectroscopic tuning was further investigated experimentally by using different Au nanoparticle concentrations, excitation laser wavelengths, and intensities. An analytical model for the photoinduced modulation of the MoS2 dielectric function and its exciton binding energy change is developed and used to estimate the doping density of plasmonic hot electrons. Our approach is important for the development of photonic devices for active control of light by light.

The maintenance of terminally differentiated cells, especially hepatocytes, in vitro has proven challenging. Here we demonstrated the long-term in vitro maintenance of primary human hepatocytes (PHHs) by modulating cell signaling pathways with a combination of five chemicals (5C). 5C-cultured PHHs showed global gene expression profiles and hepatocyte-specific functions resembling those of freshly isolated counterparts. Furthermore, these cells efficiently recapitulated the entire course of hepatitis B virus (HBV) infection over 4 weeks with the production of infectious viral particles and formation of HBV covalently closed circular DNA. Our study demonstrates that, with a chemical approach, functional maintenance of PHHs supports long-term HBV infection in vitro, providing an efficient platform for investigating HBV cell biology and antiviral drug screening.

Ordered configurations of hydrogen adatoms on graphene have long been proposed, calculated and searched for. Here we report direct observation of several ordered configurations of H adatoms on graphene by scanning tunneling microscopy. On the top side of the graphene plane, H atoms in the configurations appear to stick to carbon atoms in the same sublattice. A gap larger than 0.6 eV in the local density of states of the configurations was revealed by scanning tunneling spectroscopy measurements. These findings can be well explained by density functional theory calculations based on double sided H configurations. In addition, factors that may influence H ordering are discussed.

Reliable uncertainty quantification is a first step towards building explainable, transparent, and accountable artificial intelligent systems. Recent progress in Bayesian deep learning has made such quantification realizable. In this paper, we propose novel methods to study the benefits of characterizing model and data uncertainties for natural language processing (NLP) tasks. With empirical experiments on sentiment analysis, named entity recognition, and language modeling using convolutional and recurrent neural network models, we show that explicitly modeling uncertainties is not only necessary to measure output confidence levels, but also useful at enhancing model performances in various NLP tasks.

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Background: Older haemodialysis patients accompany a high burden of functional impairment, limited life expectancy, and healthcare utilization. This meta-analysis aimed to evaluate how various risk factors influenced the prognosis of haemodialysis patients in late life, which might contribute to decision making by patients and care providers. Methods: PubMed, Embase, and Cochrane Central were searched systematically for studies evaluating the risk factors for mortality in elderly haemodialysis patients. Twenty-eight studies were included in the present systematic review. The factors included age, cardiovascular disease, diabetes mellitus, type of vascular access, dialysis initiation time, nutritional status and geriatric impairments. Geriatric impairments included frailty, cognitive or functional impairment and falls. Relative risks with 95% confidence intervals were derived.

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Acute kidney injury-induced organ fibrosis is recognized as a major risk factor for the development of chronic kidney disease, which remains one of the leading causes of death in the developed world. However, knowledge on molecules that may suppress the fibrogenic response after injury is lacking. The long pentraxin 3 (PTX3), a novel acute renal injury marker, has been reported to be involved in chronic renal injury, but the mechanism is still unknown. In this experiment, the mice subjected to acute kidney injury showed a slow recovery of kidney function compared with PTX3-treated animals. Collagen expression was absent in sham-operated kidneys; however, their expression was significantly increased after reperfusion. And, these changes were reduced in PTX3-treated mouse kidney. Fibrosis was associated with increased expression of IL-6 and extensive activation of Stat3. Administration of IL-6 increased collagen I expression and Stat3 activation in vitro in renal epithelial cells subjected to hypoxia-reoxygenation, which was suppressed by PTX3. Furthermore, we found that the decreased serum creatinine level and the reduced expression of collagen and smooth muscle actin induced by PTX3 were abolished by additional administration of IL-6. The associated p-Stat3 expression which was reduced by PTX3 administration was also inverted by additional IL-6 treatment. Our data suggest that PTX3 inhibits acute renal injury-induced interstitial fibrosis through suppression of IL-6/Stat3 pathway.