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A promising method to boost the effectiveness of bioelectrochemical systems is to combine the light-harvesting properties of semiconductors with the catalytic strength of bacteria. Here, we demonstrate the improved photocurrents generated by the interaction of Shewanella oneidensis MR-1 and a hematite nanowire-arrayed photoanode in a solar-assisted microbial photoelectrochemical cell (S-MPEC) under visible light. The S-MPEC uses the technology of bioelectrochemical cells and photoelectrochemical cells (PECs) for enhancing the degradation of pollutants from wastewater treatment under irradiation. The bare Fe2O3 photoelectrode exhibits a photocurrent of 1.093 A m−2 at 0.8 V under visible light, whereas the Fe2O3-MR-1 biophotoelectrode exhibits a higher photocurrent of 1.605 A m−2. With visible light exposure at an intensity of less than 100 mW cm−2, the power densities of the Fe2O3 photoelectrode system with and without coating the MR-1 bacteria are 1.284 W m−2 and 0.872 W m−2, respectively. Besides, based on the study of the heterogeneous electron transfer kinetics, the reduction and oxidation reactions of Fe2O3-MR-1 exhibit more efficient diffusion coefficients with enhanced rate constants. These findings demonstrate a significant impact on degradation performance induced by photoexcited charge carriers in a complicated hybrid electricigen system, which is critical for the development of a S-MPEC for waste degradation. [ABSTRACT FROM AUTHOR]

Key Clinical Message: This case illustrates that under comprehensive management of individual and clinical needs, urgent‐start peritoneal dialysis can be performed safely without bleeding complications in patients with hemophilia A who developed end‐stage renal disease. Patients in these cases can benefit from synthetic strategy. Hemophilia A is a serious inherited bleeding disorder resulting from a deficiency of coagulation factor VIII (FVIII). Chronic kidney disease (CKD) involvement in hemophilia is relatively rare, but there has been an upward trend in the survival time of patients with prolonged hemophilia. Although peritoneal dialysis (PD) is often used as the first treatment modality for renal replacement treatment, limited data are available on comprehensive management in the hemophilia A population, especially for urgent‐start PD. A 56‐year‐old man who had hemophilia A, was diagnosed with CKD 3 years ago and developed end‐stage renal disease was admitted to our hospital after contracting pneumonia and undergoing subsequent Type I respiratory failure. Urgent‐start PD improved his condition and health outcomes, and protected his residual renal function. This case is the first study of a Chinese male patient with hemophilia A who developed end‐stage renal disease. We summarize the clinical treatment and nursing care strategies of urgent‐start PD in a hemophilia A patient with end‐stage renal disease. This case illustrates that under comprehensive management of individual and clinical needs, urgent‐start PD can be performed safely without bleeding complications in patients with hemophilia A. [ABSTRACT FROM AUTHOR]

The reactivity of the open-shell Gd@C2v-C82 with different charge states towards benzyl bromide was investigated. [Gd@C2v-C82]3− exhibited enhanced activity relative to Gd@C2v-C82 and [Gd@C2v-C82]−. The structural characterizations, including MALDI-TOF MS, UV-vis-NIR, and single crystal X-ray diffraction, indicate the formation of isomeric benzyl monoadducts of Gd@C2v-C82. All three monoadducts contain 1:1 mirror-symmetric enantiomers. Additionally, the addition of the benzyl group and its specific position result in distinct electrochemical behavior of the products compared to the parent Gd@C2v-C82. Theoretical studies demonstrate that only [Gd@C2v-C82]3− has a HOMO energy level that matches well with the LUMO energy level of the PhCH2 radical, providing a rationalization for the observed significantly different reactivity. [ABSTRACT FROM AUTHOR]

Accurate minute solar forecasts play an increasingly crucial role in achieving optimal intra-day power grid dispatch. However, continuous changes in cloud distribution and coverage pose a challenge to solar forecasting. This study presents a convolutional neural network-long short-term memory (CNN-LSTM) model to predict the future 10-min global horizontal irradiance (GHI) integrating all-sky image (ASI) and GHI sequences as input. The CNN is used to extract the sky features from ASI and a fully connected layer is used to extract historical GHI information. The resulting temporary information outputs are then merged and forwarded to the LSTM for forecasting the GHI values for the next 10 min. Compared to CNN solar radiation forecasting models, incorporating GHI into the forecasting process leads to an improvement of 18% in the accuracy of forecasting GHI values for the next 10 min. This improvement can be attributed to the inclusion of historical GHI sequences and regression via LSTM. The historical GHI contains valuable meteorological information such as aerosol optical thickness. In addition, the sensitivity analysis shows that the 1-lagged input length of the GHI and ASI sequence yields the most accurate forecasts. The advantages of CNN-LSTM facilitate power system stability and economic operation. Codes of the CNN-LSTM model in the public domain are available online on the GitHub repository https://github.com/zoey0919/CNN-LSTM-for-GHI-forecasting. [ABSTRACT FROM AUTHOR]

Interferometric Synthetic Aperture Radar (InSAR) is a powerful technique for precise topographic mapping. However, owing to the side-looking SAR imaging geometry, geometry distortions appear in mountainous scenarios. Because of phase discontinuities or the absence of a valid phase, it is difficult to recover accurate DEM in such areas with single-aspect InSAR data. Fusion of two or more different aspects of InSAR data can deal with this problem in practice. Experiments using two antiparallel aspects of airborne InSAR data are carried out based on this idea. To decrease the processing error in single-aspect data and fuse them seamlessly, a MOtion COmpensation (MOCO) method using iterative DEM is used to reduce the MOCO error. Besides, phase-unwrapping methods based on terrain characteristics are proposed to avoid phase-unwrapping error owing to phase discontinuities in areas of shadow and layover. Experimental results verify the effectiveness of the processing methods.

The electrocatalytic hydrogen evolution reaction (HER) is one of the most studied and promising processes for hydrogen fuel generation. Single-atom catalysts have been shown to exhibit ultra-high HER catalytic activity, but the harsh preparation conditions and the low single-atom loading hinder their practical applications. Furthermore, promoting hydrogen evolution reaction kinetics, especially in alkaline electrolytes, remains as an important challenge. Herein, Pt/C60 catalysts with high-loading, high-dispersion single-atomic platinum anchored on C60 are achieved through a room-temperature synthetic strategy. Pt/C60-2 exhibits high HER catalytic performance with a low overpotential (η10) of 25 mV at 10 mA cm−2. Density functional theory calculations reveal that the Pt-C60 polymeric structures in Pt/C60-2 favors water adsorption, and the shell-like charge redistribution around the Pt-bonding region induced by the curved surfaces of two adjacent C60 facilitates the desorption of hydrogen, thus favoring fast reaction kinetics for hydrogen evolution. The synthesis of high-loading Pt single-atom catalysts is important but challenging. Here, the authors use fullerene C60 with electron-deficient C=C bonds to build Pt/C60 catalysts with abundant Pt single atoms which exhibits high catalytic activity for electrochemical hydrogen evolution reactions [ABSTRACT FROM AUTHOR]

Interferometry filtering is one of the key steps in obtain high-precision Digital Elevation Model (DEM) and Digital Orthophoto Map (DOM). In the case of low-correlation or complicated topography, traditional phase filtering methods fail in balancing noise elimination and phase preservation, which leads to inaccurate interferometric phase. This paper proposed an adaptive iterated nonlocal interferometry filtering method to deal with the problem. Based on the thought of nonlocal filtering, the proposed method filters the image with utilization of the image redundancy information. The smoothing parameter of the method is adaptive to the interferometry, and automatic iteration, in which the window size is adjusted, is applied to improve the filtering precision. Validity of the proposed method is verified by simulated and real data. Comparison with existed methods is given at the same time.