Enhanced Light Utilization in Semitransparent Organic Photovoltaics Using an Optical Outcoupling Architecture

Buildingâ integrated photovoltaics employing transparent photovoltaic cells on window panes provide an opportunity to convert solar energy to electricity rather than generating waste heat. Semitransparent organic photovoltaic cells (STâ OPVs) that utilize a nonfullerene acceptorâ based nearâ infrared (NIR) absorbing ternary cell combined with a thin, semitransparent, high conductivity Cuâ Ag alloy electrode are demonstrated. A combination of optical outcoupling and antireflection coatings leads to enhanced visible transmission, while reflecting the NIR back into the cell where it is absorbed. This combination of coatings results in doubling of the light utilization efficiency (LUE), which is equal to the product of the power conversion efficiency (PCE) and the average photopic transparency, compared with a conventional semitransparent cell lacking these coatings. A maximum LUE = 3.56 ± 0.11% is achieved for an STâ OPV with a PCE = 8.0 ± 0.2% at 1 sun, reference AM1.5G spectrum. Moreover, neutral colored STâ OPVs are also demonstrated, with LUE = 2.56 ± 0.2%, along with Commission Internationale d’Eclairage chromaticity coordinates of CIE = (0.337, 0.349) and a color rendering index of CRI = 87.An efficient and neutral colored semitransparent organic photovoltaic cell (STâ OPV) is realized by utilizing a nearâ infrared (NIR) absorbing ternary cell combined with a thin, semitransparent, highâ conductivity Cuâ Ag alloy electrode. A combination of optical outcoupling and antireflection coatings leads to enhanced visible transmission, while reflecting the NIR back into the cell where it is absorbed.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/151812/1/adma201903173.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/151812/2/adma201903173_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/151812/3/adma201903173-sup-0001-S1.pd

A two-step lineage reprogramming strategy to generate functionally competent human hepatocytes from fibroblasts

Terminally differentiated cells can be generated by lineage reprogramming, which is, however, hindered by incomplete conversion with residual initial cell identity and partial functionality. Here, we demonstrate a new reprogramming strategy by mimicking the natural regeneration route, which permits generating expandable hepatic progenitor cells and functionally competent human hepatocytes. Fibroblasts were first induced into human hepatic progenitor-like cells (hHPLCs), which could robustly expand in vitro and efficiently engraft in vivo. Moreover, hHPLCs could be efficiently induced into mature human hepatocytes (hiHeps) in vitro, whose molecular identity highly resembles primary human hepatocytes (PHHs). Most importantly, hiHeps could be generated in large quantity and were functionally competent to replace PHHs for drug-metabolism estimation, toxicity prediction and hepatitis B virus infection modeling. Our results highlight the advantages of the progenitor stage for successful lineage reprogramming. This strategy is promising for generating other mature human cell types by lineage reprogramming.</p

Long-term functional maintenance of primary human hepatocytes in vitro

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.</p

Effect of Heat Treatment Process on the Optimization of Grain Boundary Character Distribution in Heavy Gage Austenitic Stainless Steel

The optimization of grain boundary character distribution (GBCD) is of great significance to improve the GB-related properties for heavy-gauge austenitic stainless steels worked in harsh environments such as reactors of nuclear power, which can usually be realized by regulating the thermomechanical process. In this paper, special solution annealing processes for a hot-rolled nuclear grade 316H plate were designed to introduce different character distribution of Σ3n boundaries (1 ≤ n ≤ 3) and random high-angle GBs (RHAGBs), and the regulation principle among them were clarified. It was worked out that the optimized GBCD by characterization of large twin related domains, abundant interconnected Σ3n boundaries and interrupted topology network of RHAGBs could be effectively facilitated through solution annealing with a long time period at lower temperature or short time period at higher temperature, in which the recrystallization, grain growth and GB migration during heat treatment process played key roles. Moreover, the length fraction of Σ3n boundaries were found to be hardly changed when they reached about 77%, but their character distribution could be continuously optimized

A Simple and High Quality Method for Isolation and Extraction of Total RNA of Pholiota adipose

Analyzing functional values of RNA using RNA-seq technology is a hot spot of researches. In order to study the medicinal value of Pholiota adipose from the transcriptome level, it is necessary to extract and isolate RNA samples of high purity and high quality P. adipose. In this study, liquid nitrogen grinding Trizol one-step method was used to extract the total RNA of P. adipose. Quality test and statistical comparative analysis were carried out for RNA extract of liquid nitrogen grinding treated and untreated P. adipose. The results showed that the concentration of RNA in the samples treated with liquid nitrogen was much higher than that of the samples without grinding treatment. The OD260/280 of both was about 2, indicating that the purity of RNA was very high. Besides, the ratio of fluorescence intensity of 25S and 18S subunit strips of three replicate samples was 1.8, 1.9, and 1.9, close to 2, indicating RNA integrity is good. RIN test results of Agilent 2100 were 9.1, 8.7, and 9.3, higher than the standard value 6.8, further proving the integrity. In sum, liquid nitrogen grinding Trizol one-step method is a very simple and efficient method for extracting high quality total RNA of P. adipose

Abnormal events detection based on RP and inception network using distributed optical fiber perimeter system

For establishing an accurate and reliable distributed optical fiber perimeter security system, this paper proposes a novel abnormity detection solution to security using Recurrent Plot (RP) and deep learning technology. Take advantage of the temporal correlation of intrusion signals, we encode the sensing signals into two-dimensional images through the RP algorithm. The RP algorithm can extract the motion characteristics of the signal from the complex time series, and it is robust to instrument noise. These encoded image signatures can reveal the deeper temporal correlation of the intrusion signals’ motion. After that, Inception network can adaptively extract the features of these images to complete the accurate identification of a series of noisy intrusion signals. We conducted experiments on three most frequent natural events and three representative man-made intrusion events, including heavy rain, light rain, wind blowing, treading, slapping, and impacting. The results show that the detection accuracy has reached 99.7%. This method can achieve 0.35 s real-time detection in the online detection of abnormal events while ensuring accuracy, providing a new intrusion pattern identification idea for perimeter security

High reliability pipeline leakage detection based on machine vision in complex industrial environment

The vision-based pipeline leakage detection is an intelligent leak detection method based on the industrial Internet of Things monitoring platform. It has the advantages of high safety factor and detection visualization. However, in the actual complex industrial environment, there are some problems, such as environmental interference and transmission quality of sensing networks. These low-quality sensing image data bring noise to the vision-based pipeline leakage detection, resulting in the risk of missed detection and false detection. In view of the above problems, we propose a highly reliable pipeline leakage detection method based on machine vision in the complex industrial environment. First, we propose a key frame selection method based on a lightweight image quality assessment, which can adapt to the complex detection environment. The key frame containing available feature information is selected to eliminate the interference of low-quality sensing image data on subsequent feature extraction and realize pipeline leakage video denoising. Then, the C3D network is used to extract space-time features at the same time to detect the leakage of pipeline leakage video. The experimental results show that the effect of our proposed method is better than other existing methods in the complex industrial environment. When the noisy data ratio of the detected image is 15%, the accuracy can be improved by 2.6 percentage points, up to 97.8%, which ensures the reliability of the pipeline leakage detection in the complex industrial environment

Dilatancy Characteristics and Constitutive Modelling of the Unsaturated Soil Based on Changes in the Mass Water Content

Most soil mechanics theories are limited to strain hardening and shrinkage under high compressive stresses, and there are some shortcomings in the selection of suction or degree of saturation as the water content state varies in the constitutive models of unsaturated soil. Based on the triaxial shear tests of unsaturated compacted soil (a silt of high plasticity) with different water content and confining pressure (low-confining), a shear dilatancy model of unsaturated soil based on the mass water content is proposed in this paper. The influence of the water content on the shear deformation characteristics of the unsaturated soil is analysed. The stress–dilatancy relationship and the prediction equation of the minimum dilatancy rate of the unsaturated soil under different water content and different confining pressure are provided. Selecting the mass water content as the state variable, a constitutive model suitable for the dilatancy of unsaturated soil is established. The method of determining model parameters based on the mass water content is analysed. The applicability of the model is verified by comparisons between the predicted and experimental results

Work Environment as a Moderator Linking Green Human Resources Management Strategies with Turnover Intention of Millennials: A Study of Malaysian Hotel Industry

The purpose of this study is to investigate the impact of green human resource management (GHRM) practices (e.g., green pay attention and rewards, green performance management, green involvement, green recruitment and selection, and green training role) on millennial employees’ turnover intention (METI) in Malaysian three-star, four-star, and five-star hotels with a moderator (work environment) using social exchange theory (SET). The survey used structured questionnaires to collect data from 210 millennial employees using the convenience sampling technique. The research hypotheses were tested using partial least squares structural equation modelling (PLS-SEM). The findings of this study indicate that only green rewards and green involvement have a significant impact on METI. Furthermore, the results indicate that the work environment has no moderating impact on the relationships between green HRM practices and millennial employees’ turnover intention. Finally, the implications, limitations, and future directions for research are also addressed to potential researchers