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Ultrasound guidance endoscopic surgery (ES) has been widely used in the treatment of cerebral hemorrhage in recent years, but relevant research articles are still scarce. Our study aims to investigate the effect of ES compared with conventional craniotomy (CC) on the postoperative complications, and prognosis of patients with intracerebral hemorrhage. The clinical data of 1201 patients with ICH treated in our hospital from January 2017 to January 2020 were collected. The t-test, Chi-squared test and Fisher's exact test were used to analyze the clinical baseline data. Among 1021 spontaneous ICH patients, 193 patients who underwent hematoma evacuation were included in the present analysis. The Glasgow Outcome Scale (GOS) score at 6 months had a favorable prognosis in ES group (p = 0.003). ES group had fewer postoperative complications compared with CC group. Operating time and intraoperative blood loss were significantly lower in ES group than CC group (p = 0.001 and p = 0.002). Our study revealed that receiving ES improved the prognosis of ICH patients. Additionally, endoscopic surgery diminishes operative time, and intraoperative blood loss and reduces the incidence of postoperative complications. [ABSTRACT FROM AUTHOR]

Accurate photovoltaic power prediction is important to ensure stable and safe operation of microgrids. However, due to the high volatility of photovoltaic power data, the prediction accuracy of traditional prediction models is often unsatisfactory. To ensure stable operation of microgrids, this study proposes a combined improved extreme gradient boosting-kernel extreme learning machine short-term photovoltaic power prediction model consisting of multidimensional similar day clustering and dual decomposition. Initially, gray relation analysis, Pearson correlation coefficient, and Kmeans++ are used for clustering to obtain high-precision similar days. Subsequently, a dual signal decomposition model based on variational modal decomposition and complete ensemble empirical mode decomposition with adaptive noise is proposed. Finally, predictions are made using a combination of predictive models with complementary strengths and weaknesses, and the prediction results of each component are fitted with under three weather conditions, the average root mean square error is reduced by 78.02%,62.99%, and 62.48%, and the average mean absolute error is reduced by 82.55%, 71.13%, and 67.07% in comparison with the baseline model. The results show that the model is effective in improving the prediction accuracy in a variety of different environments. • A new short-term photovoltaic power generation prediction model was developed. • Using GRA, PCC, Kmeans++ for multidimensional similar day clustering. • Innovatively introduced PE into the VMD-PE-CEEMDAN dual decomposition method. • Comparative analysis in different environments emphasizes the reliability of the combined models. [ABSTRACT FROM AUTHOR]

A novel L1 2 precipitation-strengthened Co 51.3 Ni 19.5 Cr 19 Al 6.4 Ti 3.4 Nb 0.4 medium-entropy alloy (MEA) with excellent combination of large ductility and high strength was prepared via direct casting. The coherent ultrafine L1 2 precipitates particles (∼30 nm) with a volume fraction of 65% formed uniformly in the FCC matrix after heat-treatment, which endows this newly-designed MEA with superior tensile properties, i.e., a yield strength of ∼710 MPa, an ultimate tensile strength of ∼1045 MPa and a uniform elongation of ∼31.3%, respectively. The blocking effect of ultra-fine L1 2 precipitates significantly contributes to the high strength of the Co 51.3 Ni 19.5 Cr 19 Al 6.4 Ti 3.4 Nb 0.4 MEA. In addition, deformation-induced nano-spaced stacking-fault networks, nano-twins and high-density Lomer-Cottrell locks facilitate the high work-hardening capacity, leading to excellent tensile ductility. This alloy design strategy can potentially be applied to many other alloys and open new avenues for designing strong yet ductile materials for engineering applications. [Display omitted] • A novel L1 2 precipitation-strengthened high entropy alloy with excellent performance was prepared via directly casting. • The coherent ultrafine L1 2 precipitates particles with a volume fraction of 65% was uniformly formed in the FCC matrix. • Deformation-induced nano-spaced stacking-fault networks, nano-twins and high-density Lomer-Cottrell locks facilitate the excellent tensile ductility. [ABSTRACT FROM AUTHOR]