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Background Respiratory problems in chronic obstructive pulmonary disease (COPD) patients are prone to poor sleep quality, anxiety and depression, but they are often ignored by medical staff and patients themselves. Understanding the sleep quality, anxiety and depression symptoms of patients with COPD and their influencing factors can help to improve the quality of life of patients, however, there are few relevant studies. Objective To investigate the sleep quality, anxiety and depression of patients with COPD and explore the influencing factors. Methods Convenience sampling was used to recruit COPD patients who visited the Department Respiratory Diseases and Critical Care Medicine of seven hospitals in Anhui Province from August to November 2022. Demographic characteristics, dyspnea grade, airflow restriction severity, risk of malnutrition, physical activity level, vaccination, and acute exacerbations in the last 1 year were collected. The Pittsburgh Sleep Quality Index (PSQI) and the Hospital Anxiety and Depression Scale (HADS) were used to evaluate the sleep quality and anxiety and depression symptoms of COPD patients, and the influencing factors were analyzed by multivariate Logistic regression. Results A total of 248 patients with COPD were investigated, among which the incidence of poor sleep quality was 60.9% (151/248), only 8.9% (22/248) of the patients thought they had good sleep quality, and more than half of the patients actually had insufficient sleep time (54.4%) or low sleep efficiency (60.1%). 29.4% (73/248) of COPD patients had at least one of the symptoms of anxiety or depression, of which 35 had anxiety symptoms, 61 had depression symptoms, and 23 had both anxiety and depression symptoms. Multivariate Logistic regression analysis showed that older ages (OR=1.052, 95%CI=1.018-1.086) and risk of malnutrition (OR=3.393, 95%CI=1.855-6.206) were risk factors for poor sleep quality in COPD patients. Regular physical activity was a protective factor for poor sleep quality in COPD patients (OR=0.450, 95%CI=0.242-0.834) (P

The reform and innovation of ideological education in colleges and universities is an important mission of every college and university, and the design and optimization of the interactive teaching content of ideological education in colleges and universities through combining with multimedia can well enhance the overall quality of the work of ideological education in colleges and universities. The purpose of this paper is to propose a synchronous classroom teaching environment that uses video interaction. The data is analyzed and recorded using the FISA system. Through the experiment, it is concluded that in the comparative analysis of teacher-student verbal interaction behavior, the performance of 2 teachers (B1 and B2) in the classroom teacher-student interaction structure is compared and analyzed, in which the ratio of teacher’s verbal behavior of B1 is 54.78%, and the ratio of teacher’s verbal of B2 is 68.55%, which is concluded that the teacher of B2 empowers the students to speak more so that the students can be better involved in Civic and Political Science classroom.

The main research direction of hardware trojan detection is based on the side channel analysis. This paper proposes an optimized support vector machine(SVM) classification method to improve the accuracy and speed when analyzing the data for detection hardware trojan. Firstly, the principal component analysis is used for data dimension reduction. Then, genetic algorithm is used to accelerate the selection of optimal penalty coefficient and kernel function parameters. Finally, the hardware trojan detection classifier is built with SVM. Experimental results show that the optimized SVM method improves the detection speed and accuracy, and can effectively detect hardware trojans with the area of 0.1%,the accuracy can be increased by 15.6%，and the time consumption can be reduced by 98.1%.

Despite the large emission of chlorinated volatile organic compounds (CVOCs) into the atmosphere, the ultimate fate of these compounds remains largely unknown. Herein, we explore the photochemical conversion of an important class of CVOCs, namely chlorobenzene (CB), on mineral α-Fe2O3 particulates under atmospheric relevant conditions. A series of chamber reactions composed of the CB with/without SO2 or NO2 are performed, followed by in situ diffuse reflectance infrared Fourier transform spectroscopy measurements and density functional theory calculations. We show that CB can be considerably degraded by α-Fe2O3 under light irradiation, whereas the reaction is markedly suppressed by adding SO2 or NO2 owing to their competitive adsorption and surface acidification. In particular, we discover that CB can be ultimately converted into polychlorinated dibenzo-p-dioxins and dibenzofurans (PCDD/Fs) under dark state or light irradiation, suggesting a possible origin of atmospheric PCDD/Fs from this overlooked photochemical source. [ABSTRACT FROM AUTHOR]

Glycine N-acyltransferase (GLYAT), known to influence glycine metabolism, has been implicated in the progression of various malignant tumours. However, its clinical relevance in hepatocellular carcinoma (HCC) remains unexplored. Here, GLYAT expression levels in HCC tissues were significantly reduced compared to normal liver tissues. Similarly, GLYAT expression levels in Huh 7, HepG2, PLC and SK-HEP1 were lower than those in LO2. Receiver operating characteristic curve analysis demonstrated that GLYAT exhibited good diagnostic performance for HCC. Kaplan-Meier analyses suggested that decreased GLYAT expression was correlated with poorer progress in HCC. Low GLYAT expression was significantly associated with gender and histologic grade. Multivariate Cox regression analysis identified low GLYAT expression and T stage as independent prognostic factors. Nomograms based on GLYAT mRNA expression and T stage showed good concordance with actual survival rates at 1, 2, 3 and 5 years. Moreover, GLYAT downregulation in the Huh 7 cell line enhanced cell proliferation, invasion and migration abilities, while GLYAT overexpression in the HepG2 cell line inhibited these abilities. HCC patients with low GLYAT expression exhibited a predisposition to immune escape and poor response to immunotherapy. This research revealed that GLYAT holds promise as both a prognostic biomarker and a potential therapeutic target in HCC., (© 2024 The Author(s). Journal of Cellular and Molecular Medicine published by Foundation for Cellular and Molecular Medicine and John Wiley & Sons Ltd.)