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Background: Subarachnoid hemorrhage (SAH) represents a severe stroke subtype. Our study aims to develop gender‐specific prognostic prediction models derived from distinct prognostic factors observed among different‐gender patients. Methods: Inclusion comprised SAH‐diagnosed patients from January 2014 to March 2016 in our institution. Collected data encompassed patients' demographics, admission severity, treatments, imaging findings, and complications. Three‐month post‐discharge prognoses were obtained via follow‐ups. Analyses assessed gender‐based differences in patient information. Key factors underwent subgroup analysis, followed by univariate and multivariate analyses to identify gender‐specific prognostic factors and establish/validate gender‐specific prognostic models. Results: A total of 929 patients, with a median age of 57 (16) years, were analyzed; 372 (40%) were male, and 557 (60%) were female. Differences in age, smoking history, hypertension, aneurysm presence, and treatment interventions existed between genders (p < 0.01), yet no disparity in prognosis was noted. Subgroup analysis explored hypertension history, aneurysm presence, and treatment impact, revealing gender‐specific variations in these factors' influence on the disease. Screening identified independent prognostic factors: age, SEBES score, admission GCS score, and complications for males; and age, admission GCS score, intraventricular hemorrhage, treatment interventions, symptomatic vasospasm, hydrocephalus, delayed cerebral ischemia, and seizures for females. Evaluation and validation of gender‐specific models yielded an AUC of 0.916 (95% CI: 0.878–0.954) for males and 0.914 (95% CI: 0.885–0.944) for females in the ROC curve. Gender‐specific prognostic models didn't significantly differ from the overall population‐based model (model 3) but exhibited robust discriminative ability and clinical utility. Conclusion: Variations in baseline and treatment‐related factors among genders contribute partly to gender‐based prognosis differences. Independent prognostic factors vary by gender. Gender‐specific prognostic models exhibit favorable prognostic performance. [ABSTRACT FROM AUTHOR]

Ga2O3‐based Ultraviolet‐C photodetector (UVCPD) is considered the most promising UVCPD at present and is divided into Metal‐Semiconductor‐Metal (MSM) and PN junction types. Compared with MSM‐PDs, PN‐PDs exhibit superior transient performance due to the built‐in electric field. However, current Ga2O3‐based PN‐PDs lack consideration for carrier collection and electric field distribution. In this study, PN‐PDs with an interdigital n‐Ga2O3 layer and finger electrodes are fabricated on p‐GaN/n‐Ga2O3 epilayers. Ultrafast response times of 31 µs (1/e decay) and 2.76 µs (fast component) are realized, which outperforms all Ga2O3 UVC‐PDs up to now. Under 0 V self‐powered, the responsivity (0.25 A W−1) of interdigital PD is enhanced by the interdigital electrode structure due to increasing carriers' collection length. Under bias, the performances of interdigital PD with 41.7 A W−1 responsivity and 8243 selection ratios are significantly elevated by enhancing the built‐in electric field in the Ga2O3 region, which is 34.76 and 39.4 times those of traditional PDs, respectively. The intrinsic enhancing mechanism of interdigital structure is also investigated by interdigital PDs with various electrode spacings and perimeters. In summary, this paper not only reports a highly performed interdigitated structure p‐GaN/n‐Ga2O3 UVCPDs, but also provides guidelines for structure design in Ga2O3‐based PN‐PDs. [ABSTRACT FROM AUTHOR]

In adapting to the double-high development trend of high-voltage direct current (HVDC) receiving-end power systems and solving optimization problems in emergency frequency control (EFC) supporting virtual power plants (VPPs) in large-scale power systems, a parameter estimation method for a VPP frequency response model based on a successive linear programming (SLP) method is proposed. First, a "centralized/decentralized" hierarchical control architecture for VPP participation in EFC is designed. Second, the frequency response characteristics of multiple flexible resources are scientifically analyzed, and the system frequency response (SFR) model and equivalent model of VPP are constructed. Subsequently, parameter estimation of the VPP frequency response model is carried out based on the SLP method, aiming to balance the accuracy and computational efficiency of the model. Finally, the effectiveness of the proposed methodology is verified by using PSD-BPA to simulate and test the three-zone HVDC recipient area grid. [ABSTRACT FROM AUTHOR]

The underwater laser polarization detection technology integrates the polarization characteristics of light into the detection and identification of underwater targets. Addressing the challenge of poor accuracy in identifying targets in strong underwater scattering environments, this article proposes an overall scheme for a laser polarization underwater detection device that suppresses scatter using polarized pulse signals. By overcoming key technological barriers in the design of polarization-preserving optical detection systems and utilizing the method of differential amplitude to measure polarization, a laser polarization underwater detection device was developed and underwater polarization detection experiments were conducted, achieving precise detection of underwater targets. The results indicate that the underwater detection device we designed has a root mean square error of less than 5.7% to detect the polarization of the target, demonstrating the accuracy and precision of the underwater detection device. [ABSTRACT FROM AUTHOR]

Objective: To elucidate the relationship between USP19 and O(6)‐methylguanine‐DNA methyltransferase (MGMT) after temozolomide treatment in glioblastoma (GBM) patients with chemotherapy resistance. Methods: Screening the deubiquitinase pannel and identifying the deubiquitinase directly interacts with and deubiquitination MGMT. Deubiquitination assay to confirm USP19 deubiquitinates MGMT. The colony formation and tumor growth study in xenograft assess USP19 affects the GBM sensitive to TMZ was performed by T98G, LN18, U251, and U87 cell lines. Immunohistochemistry staining and survival analysis were performed to explore how USP19 is correlated to MGMT in GBM clinical management. Results: USP19 removes the ubiquitination of MGMT to facilitate the DNA methylation damage repair. Depletion of USP19 results in the glioblastoma cell sensitivity to temozolomide, which can be rescued by overexpressing MGMT. USP19 is overexpressed in glioblastoma patient samples, which positively correlates with the level of MGMT protein and poor prognosis in these patients. Conclusion: The regulation of MGMT ubiquitination by USP19 plays a critical role in DNA methylation damage repair and GBM patients' temozolomide chemotherapy response. [ABSTRACT FROM AUTHOR]