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With the large number of computer technology and modern communication technology used in power monitoring systems, its security protection is constantly facing new challenges. The UEFI firmware is used to construct the physical connection structure of key devices in the power monitoring system in this paper. Using fuzzy testing methods to mine the vulnerabilities existing in the power monitoring system by generating a large number of variant test cases as the monitoring object, based on the collection of information of the basic blocks covered during the test run of the vulnerability seed to determine the target point to which the seed belongs. The coverage weight of the seed is determined with the help of the simulated annealing algorithm in order to accomplish task division of the target point. The fuzzy test method is used to analyze the operation mechanism and characteristics of the vulnerabilities in the power monitoring system, and the firmware attack mechanism of different HOOKs under UEFI is explored to summarize the characteristics of the scenarios in which the vulnerabilities appear in the power system as well as their impacts. The results show that the impact caused by vulnerabilities in the power monitoring system on the generation side and transmission side is mainly to damage the integrity and availability of information, the integrity and availability of the vulnerabilities in the generation side of the production side of the device with a risk rating of 63.74, 71.73, respectively, and the vulnerabilities in the transmission side of the SCADA with a risk rating of 79.04, 69.36, respectively. The vulnerabilities detected 608 security vulnerabilities were implanted in the UEF module, and 653 possible security problems were reported by the detection, of which the statistical underreporting rate was 1.48% and the false alarm rate was 9.05%.

Neisseria meningitidis colonizes the pharynx of humans and is responsible for severe invasive meningococcal diseases (IMD), such as septicemia and meningitis; case-fatality rate for IMD is [approximately equal to]11% (1). [...]

Objective To analyze the clinical,CT and MRI characteristics of tuberous sclerosis complex (TSC) to raise awareness of multiple organ damage in this disease. Methods The clinical, CT and MRI characteristics of 12 cases of clinically confirmed TSC in Nanjing Jiangbei Hospital from September 2015 to June 2020 were retrospectively analyzed. Results TSC involved multiple organs and showed different changes in clinical imaging (the count of cases may overlap). In central nervous system, there were 9 cases of typical subependymal nodule, including 7 calcified nodules and 2 non-calcified nodules; 5 cases of cortical and subcortical nodule, 3 cases of white matter signal change, 1 case of subependymal giant cell astrocytoma. In abdomen,there were 8 cases of angiomyolipoma of different sizes in both kidneys (of which 2 cases were accompanied by intratumoral hemorrhage) and 1 case of multiple hepatic angiomyolipoma. In chest, there were 2 cases of pulmonary lymphangioleiomyomatosis and 1 case of cardiac rhabdomyoma. In bone, there was 1 case of multiple nodular and patchy osteosclerosis. Conclusion The analysis of clinical imaging features of TSC multi-system tumor is helpful for the diagnosis of TSC.

Byline: Qingyu. Hong, Jiashuai. Li, Fangfang. Li, Lixia. Lu, Juan. Su, Mingliang. Chen Primary cutaneous CD4+ small/medium T-cell lymphoproliferative disorder is indolent clinical behaviour and uncertain malignant potential. Histologically, these [...]

Most of the existing topic models are based on the Latent Dirichlet Allocation (LDA) or the variational autoencoder (VAE), but these methods have inherent flaws. The a priori assumptions of LDA on documents may not match the actual distribution of the data, and VAE suffers from information loss during the mapping and reconstruction process, which tends to affect the effectiveness of topic modeling. To this end, we propose a Prompt Topic Model (PTM) utilizing prompt learning for topic modeling, which circumvents the structural limitations of LDA and VAE, thereby overcoming the deficiencies of traditional topic models. Additionally, we develop a prompt word selection method that enhances PTM's efficiency in performing the topic modeling task. Experimental results demonstrate that the PTM surpasses traditional topic models on three public datasets. Ablation experiments further validate that our proposed prompt word selection method enhances the PTM's effectiveness in topic modeling. [ABSTRACT FROM AUTHOR]

Ferroptosis is a novel form of programmed cell death and is considered to be a druggable target for colorectal cancer (CRC) therapy. However, the role of ferroptosis in CRC and its underlying mechanism are not fully understood. In the present study we found that a protein enriched in the Golgi apparatus, Golgi phosphoprotein 3 (GOLPH3), was overexpressed in human CRC tissue and in several CRC cell lines. The expression of GOLPH3 was significantly correlated with the expression of ferroptosis‐related genes in CRC. The overexpression of GOLPH3 in Erastin‐induced Caco‐2 CRC cells reduced ferroptotic phenotypes, whereas the knockdown of GOLPH3 potentiated ferroptosis in HT‐29 CRC cells. GOLPH3 induced the expression of prohibitin‐1 (PHB1) and prohibitin‐2 (PHB2), which also inhibited ferroptosis in Erastin‐treated CRC cells. Moreover, GOLPH3 interacted with PHB2 and nuclear factor erythroid 2‐related factor 2 (NRF2) in Caco‐2 cells. These observations indicate that GOLPH3 is a negative regulator of ferroptosis in CRC cells. GOLPH3 protects these cells from ferroptosis by inducing the expression of PHB1 and PHB2, and by interacting with PHB2 and NRF2. [ABSTRACT FROM AUTHOR]

The problem of 3D human pose estimation (HPE) has been the focus of research in recent years, yet precise estimation remains an under-explored challenge. In this paper, the merits of both multiview images and wearable IMUs are combined to enhance the process of 3D HPE. We build upon a state-of-the-art baseline while introducing three novelties. Initially, we enhance the precision of keypoint localization by substituting Gaussian kernels with Laplacian kernels in the generation of target heatmaps. Secondly, we incorporate orientation regularized network (ORN), which enhances cross-modal heatmap fusion by taking a weighted average of the top-scored values instead of solely relying on the maximum value. This not only improves robustness to outliers but also leads to higher accuracy in pose estimation. Lastly, we modify the limb length constraint in the conventional orientation regularized pictorial structure model (ORPSM) to improve the estimation of joint positions. Specifically, we devise a soft-coded binary term for limb length constraint, hence imposing a flexible and smoothed penalization and reducing sensitivity to hyperparameters. The experimental results using the TotalCapture dataset reveal a significant improvement, with a 10.3% increase in PCKh accuracy at the one-twelfth threshold and a 3.9 mm reduction in MPJPE error compared to the baseline. [ABSTRACT FROM AUTHOR]

In economic games, people acting as responders always hope to be treated fairly; otherwise they may punish proposers even sacrificing own monetary gains. However, people often treat others unequally when they become proposers, especially in the absence of punishment mechanisms. Will people lose fairness perception when they become proposers? Previous researches mainly focused on the fairness perception of responders, few paid attentions to that of proposers. In present study, we used event-related potentials (ERPs) to record the neural activities of participants acting as proposers in the ultimatum game and the dictator game, corresponding to punishment condition and non-punishment condition respectively. In each trial, a participant could choose an offer from three categories: absolutely unfair, relatively unfair and fair. Behavioral results indicate that the proposers would choose more highly unfair offers that are beneficial to themselves in a non-punishment condition than in a punishment condition. However, no matter whether there was punishment mechanism, more highly unfair offers elicited larger MFN. This finding may reflect the existence of the proposers' unfairness aversion and guilty feeling triggered by intentional violations of social fairness norm and shows that the proposers do not give up the fairness norm in the cockles of the heart even in a non-punishment environment., Author(s): Mingliang Chen [sup.1] [sup.2] , Xiaolei Zhu [sup.1] [sup.2] , Jing Zhang [sup.1] [sup.2] , Ganping Ma [sup.1] [sup.2] , Yuanhong Wu [sup.1] [sup.2] Author Affiliations: (1) grid.13402.34, 0000 [...]

Neisseria meningitidis, a leading cause of bacterial meningitis and septicemia globally, causes [approximately equal to] 1.2 million invasive meningococcal disease (IMD) cases annually and a case-fatality rate of 11% (1). [...]