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The instability of solar irradiance can lead to power fluctuations in photovoltaic power generation systems, which can have a negative impact on the stability of the power system network. To address this problem, a new solar irradiance prediction model is proposed in this article, aiming to improve the stability of photovoltaic power generation systems and ensure the normal operation of the power grid network. Firstly, data pre-processing is performed to select input data, and then the data is fed into a convolutional neural network for fusion and feature extraction of multiple variables. The input of a bidirectional long short-term memory network model is set as the extracted results. Finally, the output of the network model is integrated into an attention mechanism to allocate weights and obtain the final prediction of solar irradiance. The predictive performance of the proposed model was validated using all-weather observation data from the publicly available online dataset in 2020. Compared with the control model, the proposed model showed significant improvements in average absolute error and other indicators.

Uromodulin (Umod, Tamm–Horsfall protein) is the most abundant urinary N-glycoprotein produced exclusively by the kidney. It can form filaments to antagonize the adhesion of uropathogens. However, the site-specific N-glycosylation signatures of Umod in healthy individuals and patients with IgA nephropathy (IgAN) remain poorly understood due to the lack of suitable isolation and analytical methods. In this study, we first presented a simple and fast method based on diatomaceous earth adsorption to isolate Umod. These isolated glycoproteins were digested by trypsin and/or Glu-C. Intact N-glycopeptides with or without HILIC enrichment were analyzed using our developed EThcD-sceHCD-MS/MS. Based on the optimized workflow, we identified a total of 780 unique intact N-glycopeptides (7 N-glycosites and 152 N-glycan compositions) from healthy individuals. As anticipated, these glycosites exhibited glycoform heterogeneity. Almost all N-glycosites were modified completely by the complex type, except for one N-glycosite (N275), which was nearly entirely occupied by the high-mannose type for mediating Umod's antiadhesive activity. Then, we compared the N-glycosylation of Umod between healthy controls (n = 9) and IgAN patients (n = 9). The N-glycosylation of Umod in IgAN patients will drastically decrease and be lost. Finally, we profiled the most comprehensive site-specific N-glycosylation map of Umod and revealed its alterations in IgAN patients. Our method provides a high-throughput workflow for characterizing the N-glycosylation of Umod, which can aid in understanding its roles in physiology and pathology, as well as serving as a potential diagnostic tool for evolution of renal tubular function. [ABSTRACT FROM AUTHOR]

The effects of chemical composition and sintering temperature on the solidification rate and leaching concentration of Cd in clay sintering material were studied. And the solidification mechanism of Cd during clay sintering was investigated by XRD, SEM, XPS, FTIR and heavy metal speciation analysis. The results show that the increasing content of Fe2O3 is beneficial to the formation of hematite, and the residue proportion of Cd sintering at 750 °C is higher than that of other samples. The content of CdAl2Si2O8 increases after increasing the Al/ Si ratio. When the Al/ Si ratio is 0.3 at the sintering temperature of 1050 °C, the solidification rate of Cd can reach 99.64%. When the CaO content increases to 3% (mass fraction), the leaching concentration is lower than 1 mg⋅L-1. The formation of anorthite increases the pH value of the leaching solution and inhibits the leaching of Cd. The clay can form a denser structure after sintering, which can wrap Cd in the liquid phase. At the same time, Cd2+ can replace Ca2+ in the crystal to generate stable CdAl2Si2O8, as a result, Cd is fixed in the sintered clay material. [ABSTRACT FROM AUTHOR]