Single-Phase Grounding Fault Types Identification Based on Multi-Feature Transformation and Fusion.

The frequent occurrence of single-phase grounding faults affects the reliable operation of power systems. When a single-phase grounding fault occurs, it is difficult to accurately identify the fault type because of the weak characterization and subtle distinction between different fault types. Therefore, this paper proposes a single-phase grounding fault type identification method based on the multi-feature transformation and fusion. Firstly, the Hilbert-Huang transform (HHT) was used to preprocess the fault recorded wave data to highlight the characteristics between different fault types. Secondly, the deep learning model ResNet18 and the long short-term memory (LSTM) are designed to extract the complex abstract features and time-series correlation features from the preprocessed data set separately. Finally, it designs a fusion model to combine the advantages of heterogeneous models to identify the type of single-phase grounding fault. Experiments validate that the method is good at fully mining the characteristics of the fault types contained in the fault recorded wave data, so it can identify multiple types of faults with strong robustness and provide a reliable basis for the subsequent formulation of targeted fault-handling measures.

The role of PTEN in regulation of hepatic macrophages activation and function in progression and reversal of liver fibrosis.

Activation of Kupffer cells (KCs) plays a pivotal role in the pathogenesis of liver fibrosis. The progression and reversal of CCl4-induced mouse liver fibrosis showed a mixed induction of hepatic classical (M1) and alternative (M2) macrophage markers. Although the role of phosphatase and tensin homolog deleted on chromosome 10 (PTEN) in modulating myeloid cell activation has recently been identified, its function in macrophage activation during hepatic fibrosis remains to be fully appreciated. In our study, PTEN expression of KCs was remarkably decreased in CCl4-induced mice but increased to a near-normal level in reversed mice. Moreover, PTEN was significantly decreased in IL4-induced RAW 264.7 cells in vitro and lower expression of PTEN was observed in M2 macrophages in vivo. In addition, loss- and gain-of-function studies suggested that PTEN regulates M2 macrophages polarization via activation of PI3K/Akt/STAT6 signaling, but had a limited effect on M1 macrophages polarization in vitro. Additionally, Ly294002, a chemical inhibitor of PI3K/Akt, could dramatically down-regulate the hallmarks of M2 macrophages. In conclusion, PTEN mediates macrophages activation by PI3K/Akt/STAT6 signaling pathway, which provides novel compelling evidences on the potential of PTEN in liver injury and opens new cellular target for the pharmacological therapy of liver fibrosis.

The State-of-the-Art and Perspectives of Laser Ablation for Tumor Treatment.

Tumors significantly impact individuals' physical well-being and quality of life. With the ongoing advancements in optical technology, information technology, robotic technology, etc., laser technology is being increasingly utilized in the field of tumor treatment, and laser ablation (LA) of tumors remains a prominent area of research interest. This paper presents an overview of the recent progress in tumor LA therapy, with a focus on the mechanisms and biological effects of LA, commonly used ablation lasers, image-guided LA, and robotic-assisted LA. Further insights and future prospects are discussed in relation to these aspects, and the paper proposed potential future directions for the development of tumor LA techniques.

How ICT capital affects the spatial correlation of energy consumption-a new perspective based on spatially correlation network.

ICT has significantly transformed the traditional energy production and service methods, changed the correlation characteristics of energy consumption network, and contributed to the establishment of cross-regional, open, and synergistic energy ecological networks. In this paper, social network analysis (SNA), dynamic SYS-GMM model, and mediating effects model are employed to deliberate on the mechanism of ICT capital's influence on the spatial correlation of energy consumption from 2000 to 2019. Firstly, this study employs an enhanced gravity model to precisely delineate the spatial correlation network of energy consumption in China, further applies the SNA to analyze the network structural characteristics, and then uses the econometric model to investigate the influence mechanism and heterogeneity of ICT capital on the spatial correlation of energy consumption. The study demonstrates a progressive spatial correlation in energy consumption in China, with eastern provinces emerge as the center of the network, assuming the position of the "dominant player." Conversely, the central provinces act as the "bridge," and western provinces are positioned at the periphery, referred to as the "edge" of the network. ICT capital contributes to improving the energy consumption spatial correlation, mainly by stimulating green technology innovation, promoting industrial structure optimization, accelerating human capital accumulation, and reducing income inequality. As ICT capital expands, the eastern region becomes more preeminent as a network hub for energy consumption, the central region increases its dominance slightly, and the western region's marginal position does not change significantly. Furthermore, the presence of ICT capital significantly enhances the intensity of energy consumption spatial correlation more prominently for low-carbon pilot areas and high Internet level areas. This study guides provinces to fully utilize ICT capital to reach collaborative energy-saving goals, and promotes the breaking down of regional competitive barriers in energy systems to build cooperative energy conservation ecological networks.

Alcohol use in Hefei in relation to alcoholic liver disease: A multivariate logistic regression analysis.

BACKGROUND: An increase in alcohol consumption and related harmful effects has been reported among the elderly population in Asia. Of note, it is important to monitor patterns of alcohol use, and to establish a valid and reliable evaluation system when screening for risky consumption in this age group. OBJECTIVE: The aim of the current study was to evaluate the possible alcoholic liver disease (ALD) risk factors of a local population in elderly Chinese adults. METHODS: A questionnaire was sent to 3393 Chinese adults over 40 years old in Hefei. Alcohol consumption was determined based on the AUDIT questionnaire. ALD was defined by ALD diagnostic standards. Adjusted odds ratios and 95% confidence intervals (95% CI) derived from multiple logistic regression models were used to assess the relationship between ALD and sociodemographic variables. RESULTS: Among 2545 total interviewees, 448 (17.6%) reported a history of alcohol consumption in the previous 12 months. Of these drinkers, 46.7% were male and 53.3% were female. The overall Cronbach's alpha coefficient for AUDIT was 0.648. The rate of ALD was 6.83%. Alcohol abuse was significantly associated with ALD. In the logistical model, alcohol abuse was independently associated with ALD (OR = 6.17, 95% CI: 3.69-15.24; p < 0.01). CONCLUSIONS: Alcohol use, sex, age, and facial flushing were risk factors for ALD. These results provide important evidence for the prevention and therapy of ALD.