A Kind of Network Intrusion Detection Algorithm Based on Quantum-behaved Particle Swarm Optimization

In order to overcomes the drawbacks of fuzzy clustering methods which are sensitive to the initial values and easily trapped into local minima in intrusion detection algorithm, a hybrid algorithm is proposed based on quantum-behaved particle swarm optimization and semi-supervised kernel fuzzy clustering algorithm. This algorithm can supervise and clustering a few labeled data to generate correct model, use this model to guide lots of unlabeled data to clustering, and enlarge the labeled data set. Those data still cannot be labeled, which are clustered by the kernel fuzzy methods based on quantum-behaved particle swarm optimization, and determine mark types. The simulation of KDD CUP 99 data set is implemented to evaluate the proposed algorithm. Comparing to other algorithms, the result shows the proposed algorithm can obtain the ideal error detection rate and false drop rate in the intrusion detection

One-Pot Synthesis of Bi/Fe3O4 and Its Catalytic Performances for 4-Nitrophenol Reduction

A novel approach was successfully developed for the catalyst Bi-deposited Fe3O4 magnetic nanoparticles, which was used in the degradation of 4-nitrophenol (4-NP). The Bi/Fe3O4 composite was prepared via a one-pot process from ferrous sulfate and bismuth chloride using hydrazine hydrate as a reducing agent. The catalyst was characterized by X-ray diffraction (XRD) and Fourier transform infrared (FTIR) spectroscopy. In the composite pure Fe3O4 particles were synthesized and bismuth particles were well dispersed. The catalytic performances were investigated for the reduction of 4-NP with sodium borohydride. The catalyst has higher activity when Bi/Fe molar ratio is 1:4 in the composite and the rate constant k is about 0.611 min-1. The catalyst has good reusability which can be used 10 cycles without obvious deactivation. Furthermore, the catalyst can be easily separated by an external magnetic field.

OR-008 ERK-BAX signaling is involved in GLP-1-mediated antidepressant effects of metformin and exercise in CUMS mice

Objective Both depression itself and antidepressant medication have been reported to be significantly related to the risk of type 2 diabetes mellitus (T2DM). Glucagon-like peptide-1 (GLP-1), a treatment target for T2DM, has a neuroprotective effect. As an enhancer and sensitiser of GLP-1, metformin has been reported to be safe for the neurodevelopment. The present study aimed to determine whether and how GLP-1 mediates antidepressant effects of metformin and exercise in mice. Methods Male C57BL/6 mice were exposed to chronic unpredictable mild stress (CUMS) for 8 weeks. From the 4th week, CUMS mice were subjected to oral metformin treatment and/or treadmill running. A videocomputerized tracking system was used to record behaviors of mice for a 5-min session. ELISA, western blotting and immunohistochemistry were used to examine gene expression in mouse serum or hippocampus. Results Our results supported the validity of metformin as a useful antidepressant; moreover, treadmill running favored metformin effects on exploratory behaviors and serum corticosterone levels. CUMS reduced GLP-1 protein levels and phosphorylation levels of extracellular signal-regulated kinase 1/2 (ERK1/2), but increased protein levels of B-cell lymphoma 2-associated X-protein (BAX) in mice hippocampus. All these changes were restored by both single and combined treatment with metformin and exercise. Conclusions Our findings have demonstrated that ERK-BAX signaling is involved in GLP-1-mediated antidepressant effects of metformin and exercise, which may provide a novel topic for future clinical research

TiAVox: Time-aware Attenuation Voxels for Sparse-view 4D DSA Reconstruction

Four-dimensional Digital Subtraction Angiography (4D DSA) plays a critical role in the diagnosis of many medical diseases, such as Arteriovenous Malformations (AVM) and Arteriovenous Fistulas (AVF). Despite its significant application value, the reconstruction of 4D DSA demands numerous views to effectively model the intricate vessels and radiocontrast flow, thereby implying a significant radiation dose. To address this high radiation issue, we propose a Time-aware Attenuation Voxel (TiAVox) approach for sparse-view 4D DSA reconstruction, which paves the way for high-quality 4D imaging. Additionally, 2D and 3D DSA imaging results can be generated from the reconstructed 4D DSA images. TiAVox introduces 4D attenuation voxel grids, which reflect attenuation properties from both spatial and temporal dimensions. It is optimized by minimizing discrepancies between the rendered images and sparse 2D DSA images. Without any neural network involved, TiAVox enjoys specific physical interpretability. The parameters of each learnable voxel represent the attenuation coefficients. We validated the TiAVox approach on both clinical and simulated datasets, achieving a 31.23 Peak Signal-to-Noise Ratio (PSNR) for novel view synthesis using only 30 views on the clinically sourced dataset, whereas traditional Feldkamp-Davis-Kress methods required 133 views. Similarly, with merely 10 views from the synthetic dataset, TiAVox yielded a PSNR of 34.32 for novel view synthesis and 41.40 for 3D reconstruction. We also executed ablation studies to corroborate the essential components of TiAVox. The code will be publically available.Comment: 10 pages, 8 figure

Transcranial direct current stimulation regulates phenotypic transformation of microglia to relieve neuropathic pain induced by spinal cord injury

ObjectiveNeuropathic pain is a common complication after spinal cord injury (SCI). Transcranial direct current stimulation (tDCS) has been confirmed to be effective in relieving neuropathic pain in patients with SCI. The aim of this study is to investigate the effect of tDCS on neuropathic pain induced by SCI and its underlying mechanism.Materials and methodsThe SCI model was induced by a clip-compression injury and tDCS stimulation was performed for two courses (5 days/each). The motor function was evaluated by Basso-Beattie-Bresnahan (BBB) score, and the thermal withdrawal threshold was evaluated by the thermal radiation method. The effects of tDCS on the cerebral cortex, thalamus, midbrain, and medulla were detected by the enzyme-linked immunosorbent assay (ELISA) and immunofluorescence.ResultsThe results showed that SCI reduced the thermal withdrawal threshold and increased the concentration of inflammatory cytokines in the cortex, thalamus, midbrain, and medulla, including the tumor necrosis factor-α (TNF-α), interleukin-1β (IL-1β), and interleukin-6 (IL-6). In addition, the activation of microglia and the proportion of M1 phenotypic polarization increased significantly in the ventral posterolateral (VPL), ventral tegmental (VTA), and periaqueductal gray (PAG) regions after SCI. After tDCS treatment, the thermal withdrawal threshold and motor function of SCI rats were significantly improved compared to the vehicle group. Meanwhile, tDCS effectively reduced the concentration of pro-inflammatory cytokines in the cortex, thalamus, midbrain, and medulla and increased the concentration of anti-inflammatory cytokines interleukin-10 (IL-10) in the thalamus. In addition, tDCS reduced the proportion of the M1 phenotype of microglia in VPL, VTA, and PAG regions and increase the proportion of the M2 phenotype.ConclusionThe results suggest that tDCS can effectively relieve SCI-induced neuropathic pain. Its mechanism may be related to regulating the inflammatory and anti-inflammatory cytokines in corresponding brain regions via promoting the phenotypic transformation of microglia

Effects of birth weight on body composition and overweight/obesity at early school age.

OBJECTIVES The prevalence of childhood obesity has increased substantially. We aimed to characterize the effect of birth weight on body composition and overweight/obesity at early school age. STUDY DESIGN A total of 1669 children with available birth records from a double-blind cluster-randomized controlled trial exploring micronutrient supplementation during pregnancy were included. Data regarding school-aged body composition, social-demographic factors and health behaviours were prospectively collected. RESULT s: The study population consisted of 1004 boys and 665 girls aged between 7 and 10 years. The prevalence of overweight/obesity (>85th age-sex-specific percentiles) was 7.4% for boys and 5.0% for girls. Generalized estimating equation models were used to account for the cluster nature of the data. A significant upward trend across quintiles of birth weight was observed for fat mass index (boys: P for trend 0.002; girls: P for trend <0.001), fat-free mass index (boys: P for trend <0.001; girls: P for trend <0.001), and percentage of body fat (boys: P for trend 0.003; girls: P for trend <0.001). A birth weight in the higher three quintiles could increase the risk ratios [RRs (95% CI) third quintile: 2.88, (1.13, 7.32); fourth quintile: 2.40, (0.87, 6.66); top quintile: 2.31, (0.92, 5.80)] of overweight/obesity at early school age compared with the RRs of the reference group (the second quintile of birth weight) among boys. CONCLUSIONS Higher birth weight could increase the risk of being overweight/obese among 7- to 10-year-old boys in rural western China. Sex differences in this association need to be considered when planning interventions. RESEARCH REGISTRATION This trial was registered at www.isrctn.com with the identifier ISRCTN08850194

Combustion reactivity of ilmenite with coal volatiles under steam gasification atmosphere

学位記番号：理工博甲6