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To enhance the intelligent classification of computer vulnerabilities and improve the efficiency and accuracy of network security management, this study delves into the application of a comprehensive classification system that integrates the Memristor Neural Network (MNN) and an improved Temporal Convolutional Neural Network (TCNN) in network security management. This system not only focuses on the precise classification of vulnerability data but also emphasizes its core role in strengthening the network security management framework. Firstly, the study designs and implements a neural network model based on memristors. The MNN, by simulating the memory effect of biological neurons, effectively captures the complex nonlinear relationships within vulnerability data, thereby enhancing the data insight capabilities of the network security management system. Subsequently, structural optimization and parameter adjustments are made to the TCNN model, incorporating residual connections and attention mechanisms to improve its classification performance, making it more adaptable to the dynamically changing network security environment. Through data preprocessing, feature extraction, and model training, this study conducts experimental validation on a public vulnerability dataset. The experimental results indicate that: The MNN model demonstrates excellent performance across evaluation metrics such as Accuracy (ACC), Precision (P), Recall (R), and F1 Score, achieving an ACC of 89.5%, P of 90.2%, R of 88.7%, and F1 of 89.4%. The improved TCNN model shows even more outstanding performance on the aforementioned evaluation metrics. After structural optimization and parameter adjustments, the TCNN model’s ACC increases to 93.8%, significantly higher than the MNN model. The P value also improves, reaching 91.5%, indicating enhanced capability in reducing false positives and improving vulnerability identification accuracy. The integrated classification system, leveraging the strengths of both the MNN and improved TCNN models, achieves an ACC of 95.2%. This improvement not only demonstrates the system’s superior capability in accurately classifying vulnerability data but also proves the synergistic effect of MNN and TCNN models in addressing complex network security environments. The comprehensive classification system proposed in this study significantly enhances the classification performance of computer vulnerabilities, providing robust technical support for network security management. The system exhibits higher accuracy and stability in handling complex vulnerability datasets, making it highly valuable for practical applications and research.

Background The treatment of large bone defects in lower limbs is a serious challenge for orthopedic surgeons and patients. The bone transport technique using the Ilizarov method has become the main treatment option for the reconstruction of bone defect. However, inevitable difficulties and complications related to bone transport technique have been reported by many studies. The purpose of this study was to evaluate the effectiveness and complications of bone transport technique using Ilizarov method in the treatment of bone defect of lower extremity. Methods The study was conducted on 282 patients who underwent bone transport procedures using Ilizarov method at our institution from January 2007 to June 2017. Patient’s demographic data, complications and clinical outcomes at minimum of 2 years follow-up were collected and retrospectively analyzed. All difficulties that related to bone transport were documented according to Paley’s classification. The clinical outcomes were evaluated using Association for the Study and Application of the Method of Ilizarov criteria (ASAMI) at last clinical visit. Results There were 243 male and 39 females with a mean age of 40 years (range 18–65 years). The mean defect was 6.56 ± 2.15 cm, whereas single level transport in 221 cases and double level transport in 61 cases. There were 189 problems, 166 obstacles and 406 complications (257 minor and 149 major complications), and the average complication rate per patients consists of 0.91 minor and 0.53 major complications. The top five complications were pin-site infection (65.96%), axial deviation (40.78%), joint stiffness (23.76%), soft tissue incarceration (22.34%) and delayed union of the docking site (13.48%).The ASAMI bony result was excellent in 233 patients, good in 32, fair in 5 and poor in 12. The ASAMI functional result was excellent in 136 patients, good in 88, fair in 47, poor in 11. Conclusion Bone transport is a reliable method for reconstruction of bone defects in the femur and tibia. Awareness of predictable complications is beneficial to prevent or early detection of the expected complication which can improve the risk-benefit balance.

While high-entropy alloy (HEA) catalysts seem to have the potential to break linear scaling relationships (LSRs) due to their structural complexity, the weighted averaging of properties among multiple principal components actually makes it challenging to diverge from the symmetry dependencies imposed by the LSRs. Herein, we develop a ‘surface entropy reduction’ method to induce the exsolution of a component with weak affinity for others, resulting in the formation of few-atom-layer metal (FL-M) on the surface of HEAs. These exsolved FL-M surpass the confines of the original configurational space of conventional HEAs, and collaborate with the HEA substrate, serving as geometrically separated active sites for multiple intermediates in a complex reaction. This FL-M-covered HEA shows an outstanding performance for electrocatalytic reduction of nitrate to ammonia (NH 3 ) with a Faradaic efficiency of 92.7%, an NH 3 yield rate of 2.45 mmol h –1 mg cat. –1 , and high long-term stability (>200 h). Our work achieves the precise manipulation of atomic arrangement, thereby expanding both the chemical space occupied by known HEA catalysts and their potential application scenarios. High-entropy alloy catalysts hold promise for overcoming linear scaling relationships due to their structural complexity. Herein, the authors report a surface entropy reduction method that enables the exsolution of few-atom-layer metals on high-entropy alloy catalysts, resulting in enhanced electrocatalytic reduction of nitrate to ammonia with a Faradaic efficiency of 92.7%.

Previous research has demonstrated that the experience of awe can alleviate negative emotions, such as stress related to life and career, consequently enhancing overall happiness. Drawing from the broaden-and-build theory of positive emotions, the mechanism through which awe mitigates stress and enhances happiness lies in its capacity to restructure an individual’s original cognitive framework and foster a more open-minded approach to problem-solving. This, in turn, facilitates the cultivation of both physical and mental resources, including the enhancement of psychological resilience, thereby empowering individuals to better rebound from adversity and pressure. The study seeks to validate this perspective. In this study, 342 Chinese college students (awe group, pleasant group and neutral group) were investigated to test the effects of awe on cognitive well-being and affective well-being using a recall priming task paradigm. Results indicated that: (1) compared with pleasant and neutral groups, awe experience not only had a direct effect on cognitive well-being (life satisfaction), but it also had a significant indirect effect on cognitive well-being through a mediating variable – resilience. However, (2) awe experience had no direct effect on affective well-being (emotional balance), although the mediating effect of resilience was significant. This suggested that awe, as a transcendent positive experience, might have different effects or mechanism on individuals’ cognition and emotion evaluation.

The E2F family of transcription factors plays a crucial role in the regulation of cell cycle progression and cell proliferation. Accumulative evidence indicates that aberrant expression or activation of E2F2 is a common phenomenon in malignances. E2F2 has emerged as a key player in the development and progression of various types of tumors. A wealth of research has substantiated that E2F2 could contribute to the enhancement of tumor cell proliferation, angiogenesis, and invasiveness. Moreover, E2F2 exerts its influence on a myriad of cellular processes by engaging with a spectrum of auxiliary factors and downstream targets, including apoptosis and DNA repair. The dysregulation of E2F2 in the context of carcinogenesis may be attributable to a multitude of mechanisms, which encompass modifications in upstream regulatory elements or epigenetic alterations. This review explores the function of E2F2 in cancer progression and both established and emerging therapeutic strategies aiming at targeting this oncogenic pathway, while also providing a strong basis for further research on the biological function and clinical applications of E2F2.

Repair of peripheral nerve defect (PND) with poor prognosis was hard to deal with. Neural conduit applied to nerve defect at present could not achieve the effect of autologous nerve transplantation. We prepared bionic conductive neural scaffolds to provide a new strategy for the treatment of peripheral nerve defects. The high aligned poly (l-lactic acid) (PLLA) fiber mat and the multi-microchannel conductive scaffolds were combined into bionic conductive nerve scaffolds which were implanted into the sciatic nerve defect of rats. The experimental animals were divided into scaffold group (S), scaffold with electrical stimulation group (S&E) and autologous nerve transplantation group (AT). The regenerative effect of bionic conductive nerve scaffolds was analyzed. Compared with aligned PLLA fiber mat, highly aligned fiber mat had a higher fiber orientation and did not change the tensile strength, Young's modulus, degradation rate, elongation at break of the fiber membrane and biocompatibility. The bionic conductive nerve scaffolds were well matched with rat sciatic nerve. The evaluations of sciatic nerve in group S&E were close to those in group AT, and better than those in group S. Immunohistochemical results showed that the expression levels of Neurofilament heavy polypeptide (NF-H) and Protein S100-B (S 100-β) in group S&E were higher than those in group S, and the expression levels of Low-density lipoprotein receptor-related protein 4 (LRP4), Mitogen-activated protein kinase (MAPK) p38, Extracellular signal-regulated kinase (ERK) and Mitogen-activated protein kinase kinase (MEK) in group AT were higher than those in group S. Bionic conductive nerve scaffolds combined with electrical stimulation (ES) could enhance peripheral nerve regeneration and achieve satisfactory nerve regeneration close autologous nerve grafts. ERK, p38MAPK, MEK and LRP4 may be involved in peripheral nerve regeneration under electrical stimulation.

This study proposes a novel surgical technique for the excision of benign parotid tumors, utilizing a extracapsular dissection guided by a three dimensional digital model of the facial nerve(3DFN-ECD) and compares its clinical efficacy with the extracapsular dissection (ECD) method. This prospective study included 68 patients with benign parotid tumors. The control group (40 patients) received the ECD treatment, while the experimental group (28 patients), underwent the 3DFN-ECD approach proposed in this study. Preoperative three-dimensional double-echo steady-state water excitation sequence (3D-DESS-WE) of MRI was employed to visualize the tumor and facial nerve, and the Mimics software was used to reconstruct a three-dimensional digital model of the facial nerve and parotid tumor. The surgical incision and facial nerve dissection were planned based on the relationship between the tumor and the facial nerve. Postoperative facial nerve function and aesthetic outcomes of the incisions were compared between the two surgical techniques. There was no significant difference in the postoperative complications between the two groups. Postoperative facial nerve function scores in the 3DFN-ECD group were significantly higher than those in the control group at 1 week ( p  < 0.001) and 4 weeks ( p  < 0.001). The incidence of temporary facial nerve paralysis was significantly lower in the 3DFN-ECD group ( P  = 0.036), and the visual analogue scale score for aesthetic outcomes of the surgical incision was significantly improved ( p  < 0.001). The novel 3DFN-ECD surgical approach proposed in this study significantly reduces the risk of facial nerve injury and improves the aesthetic outcomes of the parotid tumor surgical incision.

Amphioxus belongs to the subphylum Cephalochordata and occupies a transitional position in evolution between invertebrates and vertebrates. Due to the lack of viruses suitable for immunostimulation in amphioxus, this study for the first time explored the pathogenicity and waterborne transmission of Grass Carp Reovirus (GCRV), a double-stranded RNA virus, during its infection of amphioxus. Soaking amphioxus in GCRV suspension can cause obvious damage to gill tissues and severely disrupt the structure of gill filaments. The virus survived in seawater for no more than 48 h. Infection kinetics studies showed that the expression of VP5 (a viral capsid protein) mRNA in gill tissues peaked at 14 h. After co-culturing GCRV-infected amphioxus with healthy amphioxus for 72 h, the gills of healthy amphioxus showed obvious pathological damage. Additionally, the presence of the virus was verified by RT-PCR amplification of VP5 expression, indicating that GCRV can be transmitted via water. Transcriptome sequencing analysis showed that the Mitogen-Activated Protein Kinase (MAPK), calcium signaling pathway, and chitin metabolic pathway were significantly activated in amphioxus after GCRV stimulation. This study confirmed that GCRV can infect cephalochordates, revealing its gill-tropism and water-borne transmission ability, providing a new perspective for studying the cross-species infection mechanism of aquatic viruses and the prevention and control of aquatic diseases.