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Type 1 diabetes mellitus (T1DM) is a metabolic disease characterized by insulin deficiency and often accompanied by hypercholesterolemia. NAC is an effective antioxidative drug, but its application in the treatment of diabetes is still rare. A total of forty beagles were randomly divided into five groups: control group, DM group, INS group, INS with NAC group, and NAC group. The experiment lasted for 120 days. Results revealed that biochemical criterion increased in the DM group, while the indicators significantly decreased on the INS combined with NAC treatment group. Moreover, the insulin released test demonstrated that the model of T1DM was successfully constructed. The result of B ultrasound of gallbladder showed remarkable cholestasis in DM group. The cholesterol metabolism-related enzyme activity (HMGCR and SQLE) was evidently increased in DM group, but decreased in INS and NAC group. The content of TG, LDL-c, and HDL-c in liver was detected by the kit, and it was found that the content of TG, LDL-c, and HDL-c in DM group were reduced. Histopathological observation revealed that the cholestasis of liver cells and hepatic cords were disordered in DM group, the symptoms were alleviated under INS and NAC treatment. Additionally, the protein and mRNA expression of HMGCR and LDLR were obviously increased in DM group, but down regulated in INS and NAC treatment group. Overall, the liver function injury and secondary hypercholesterolemia can be found in T1DM canines, and NAC can relieve cholesterol metabolism disorder in the treatment of canine T1DM.

Type 1 diabetes mellitus (T1DM) is a chronic and represented by insulin-causing pancreatic β-cell disruption and hyperglycemia. N-Acetyl-Cysteine (NAC) is regarded as facilitating endothelial cell function and angiogenesis and may have treatment effect in the case of diabetes. However, the impact of NAC on T1DM are unknown. Here we reported that inflammatory pathogenesis of canine type 1 diabetes liver disease and the therapeutic effect of NAC combined with insulin. For this purpose, the model was established by intravenous injection of streptozotocin (20 mg/kg). Forty adult dogs were used and divided into 5 groups: control group, DM group, insulin treatment group, NAC combined with insulin therapy, and NAC group, while study lasted for 16 weeks. Results showed that the level of liver function enzyme activity were apparently increased in DM group, while the NAC with insulin treatment remarkable decreased liver function enzyme levels. Histopathology revealed that obvious changes in liver structure of all DM group, as evidenced by hepatocyte disorder and cellular swelling. Liver structure was evaluated by Periodic Acid Schiff (PAS) and Masson staining, the tissues appeared glycogen deposition and collagen deposition, indicating that DM aggravated liver injury. Compared with control group, the protein and mRNA expression of NLRP3, Caspase-1, ASC, and GSDMD were significantly induced in the DM group, while INS and NAC combined with INS treatment reversed the above changes. The levels of NF-κB P65, p-NF-κB, and IFN γ were availably enhanced in the DM group, which decreased through insulin and NAC combined with insulin treatment. This study demonstrated that NAC combined with INS exerted protective effects against STZ-induced liver injury by inhibiting the NLRP3/NF-κB pathway. The findings indicated that NAC combined with INS may serve as a potential candidate therapy for the treatment of T1DM.

This paper studies the influence of Alford force on permanent magnet turbo-expander/generator supported by active magnetic bearings. The differential equations of rotor motion are established, magnetic bearing force that controlled by the PID and Alford force are considered into the equations. Based on the simulation and experiments, the response of the rotor is solved. The results show that after the introduction of Alford force, the amplitude of the rotor increases and the axis trajectory of the impeller side gets larger. The influence of Alford force can be mitigated by adjusting the control parameters which improves the support characteristics. Both the simulation and experiments show that for the PID controller, the differential coefficient has an obvious effect on mitigating the influence while the effect of the proportional coefficient is relatively small. Therefore, as a rotor supported by active magnetic bearings is different from traditional bearings, it is necessary to consider the effect of the control parameters and the differential coefficient needs paying more attention to.

Copper (Cu) is an essential trace element for growth and development in most organisms. However, environmental exposure to high doses of Cu can damage multiple organs. To investigate the underlying mechanism of Cu toxicity on mitochondrial dynamics and mitophagy in the cerebrum of pigs, 60 30-day-old pigs were randomly divided into three groups and treated with different contents of anhydrous Cu sulfate in the diets (Cu 10 mg/kg, control group; Cu 125 mg/kg, group I; Cu 250 mg/kg, group II) for 80 days. The Cu levels and histological changes in the cerebrum were measured. Moreover, the protein and mRNA expression levels related to mitophagy and mitochondrial dynamics were determined. The results showed that the contents of Cu were increased in the cerebrum with increasing dietary Cu. Vacuolar degeneration was found in group I and group II compared to the control group. Additionally, the protein and mRNA expression levels of PINK1, Parkin, and Drp1 and the protein level of LC3-II were remarkably upregulated with increasing levels of dietary Cu. Nevertheless, the protein and mRNA expression levels of MFN1 and MFN2 and the mRNA expression of P62 were obviously downregulated in a Cu dose-dependent manner. Overall, these results suggested that excess Cu could trigger mitochondrial dynamics disorder and mitophagy in the pig cerebrum, which provided a novel insight into Cu-induced toxicology.

Neurodegenerative diseases are one of the major complications of type 1 diabetes mellitus (T1DM). The effect of insulin monotherapy on controlling blood glucose and neurodegeneration associated with diabetes is unsatisfactory. It is revealed that oxidative stress is a key element in T1DM. Therefore, N-acetylcysteine (NAC) was used together with insulin to investigate the therapeutic effect on neuronal damage in T1DM in this study. A total of 40 beagles were randomly divided into 5 groups (control group, DM group, insulin monotherapy group, NAC combined with insulin group, and NAC monotherapy group) to explore the effects of NAC on alleviating the oxidative damage in cerebrum. Our results showed that the contents of H

The potential for big data analytics to improve social work students’ professional qualities in a more in-depth dimension is tremendous. However, the application of big data in it is at a nascent stage. This research provides an online brushing system’s model design with the data sources and methods that towards big data analytics, and describes operation interfaces, including programming brushing module and knowledge brushing module. The practice shows that big data will fulfil its potential as an important role in a quality-expanding system; also, it provides a view to dynamically extend and integrate modules considering the changing demands.

For the surge detection problem of high-speed magnetic suspension centrifugal blower, a second order generalized integral-frequency locked loop with prefilter (SOGI-FLL-WPF) is used for surge detection. This method is utilized to normalize the amplitude and frequency of the surge signal by using the rotor radial displacement signal in the magnetic suspension blower. So that the response speed of detecting surge signal is not affected by the frequency and amplitude, and the frequency of the blower surge vibration signal is tracked adaptively. As a result, the fast response ability of the surge signal detection is improved. Specifically, firstly, the rotor radial displacement signal is collected in real time. And then, the rotor speed is identified by SOGI-FLL, and the identified speed information is input to SOGI for notch. Finally, the surge detection is carried out by SOGI-FLL-WPF for the signal after notch. The 105 kW magnetic suspension centrifugal blower is applied for the surge detection experiment. The experimental results show that the surge detection method based on rotor radial displacement signal and SOGI-FLL-WPF can detect the surge signal immediately after its occurrence. The proposed detection method needs no additional detection unit, and has the advantages of simple algorithm, fast response speed and small amount of calculation. In addition, it can effectively reflect the change of frequency in the process of surge.

In this paper, we present a hybrid socio-rational secret sharing scheme, which is based on a belief learning model. Using this model, the player can learn the probabilities of the other players' likely action, upon which the player can responsively choose his next counter action(s) with the expected probabilities. Finally, we exploit the application of our proposed scheme in secured cloud storage.

Based on the traditional algorithm for blind source separation, this paper proposes a fully connected recurrent neural network algorithm for blind source separation. The self-feedback loop is increased to the algorithm. It can inhibit network into local minimum effectively; prevent the concussion; accelerate the convergence speed of weight; and applicable to nonlinear mixed situation. The simulation results show that, the algorithm has a good separation effect for multiple overlapping speech signals.