Monitoring and Source Tracing of Machining Error Based on Built-in Sensor Signal

AbstractOnline monitoring and source tracing of machining error is of great significance for ensuring machining quality and improving machining efficiency. For an open numerical controller, the built-in sensors signals can be captured through driver interface in machining process. These signals contain various information of machining conditions of machine tool. The capture and analysis of the built-in sensors signals can be used for the online monitoring and source tracing of machining error. In this paper, an novel approach is developed for machining error monitoring and source tracing based on built-in sensor signal analysis and multi-body system theory. A ball screw grinding process was monitored, and the analysis results show the validity of the approach

Construction of logic gates and semi adders for simultaneous detection of two DNA molecules

In this study, graphene oxide/gold nanoparticles composite membrane modified electrodes (gce/go/aunps) were constructed by drop coating and electrodeposition. Based on the change of the probe's surface configuration before and after the combination of the target DNA and the probe, the electrochemical signal changes, so as to realize the intelligent recognition of E.coli DNA and Salmonella DNA. Take the target as the input signal, and Σ|ΔI| and |ΔIMB/ΔIFC| constructs "and" and "XOR" DNA molecular logic gates for output, and proposes a new semi adder model that can be used for logic operations. Square wave voltammetry (SWV) was used to detect the current change value Σ|ΔI| of the two labeled probes, which was consistent with E. The logarithmic values of the concentrations of coli DNA and Sal DNA showed a good linear relationship in the range of 1.0 × 10–13 to 1.0 × 10–8 mol·L–1, and the detection limits (S/N = 3) were respectively 3.2×10–14 mol·L–1 and 1.7×10–14 mol·L–1

Metabolic effects of selective deletion of group VIA phospholipase A2 from macrophages or pancreatic islet beta-cells

To examine the role of group VIA phospholipase

Effects of the root extract of Dipsacus asperoides (Caprifoliaceae) on locomotor function and inflammation following spinal cord injury in rats

Purpose: The study was performed to determine the effect of Dipsacus asperoides (roots), commonly known as Xu Duan, on rats with spinal cord injury (SCI).Methods: All the animals were separated into 3 groups: normal control; a group that received Dipsacus asperoides treatment after spinal injury, and a group that received phosphate-buffered saline after SCI. These groups allowed for determination of the effect of Dipsacus asperoides treatment on SCI-injured rats. Evaluation of locomotor function restoration based on Basso–Beattie–Bresnahan score was carried out while expressions of I-kBα and NF-kB p65 were estimated. Evaluation of pro-apoptotic protein Bax and anti-apoptotic protein Bcl-2 levels was also carried by Western blotting and densitometry.Results: The results showed that 10-mg/kg/day dose of Dipsacus asperoides restored locomotor function in rats after a period of 4 weeks. The treatment also decreased expressions of I-kBα, NF-kB p65 and Bax, but significantly increased expression of Bcl-2 (p < 0.01) in treated rats, compared to untreated rats.Conclusion: The results indicate that treatment with Dipsacus asperoides extract effectively mitigates spinal cord injury by attenuating inflammation and apoptosis in SCI rats.Keywords: Spinal cord injury, IKK-NFkB pathway, Bax, Bcl-2, Xu Duan, Apoptosi