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The control network is an important supporting environment for the control system of the heavy ion accelerator in Lanzhou (HIRFL). It is of great importance to maintain the accelerator system’s network security for the stable operation of the accelerator. With the rapid expansion of the network scale and the increasing complexity of accelerator system equipment, the security situation of the control network is becoming increasingly severe. Port scanning detection can effectively reduce the losses caused by viruses and Trojan horses. This article uses Go Concurrency Patterns, combined with transmission control protocol (TCP) full connection scanning and GIMP Toolkit (GTK) graphic display technology, to develop a tool called HIRFL Scanner. It can scan IP addresses in any range with any ports. This is a very fast, installation-free, cross-platform IP address and port scanning tool. Finally, a series of experiments show that the tool developed in this paper is much faster than the same type of software, and meets the expected development needs.

A new resourcezation way has been proposed to address the treatment challenges of the light phenolic distillation residue (LPDR) from the coal-based phenolic distillation residue. Herein, the LPDR, which was collected at 20 kPa and 220 °C from the phenolic distillation residue, has been further used to synthesize the phenolic resin (named as RPF) for MgO-C refractories. It is found that the conversion efficiency of crude phenol mixture to RPF is 71.3%, which is lower than that of pure phenol. To increase the conversion efficiency and improve the properties of RPF, the crude phenolic mixture was blended with pure phenol for the synthesis. The optimal addition mass ratio of phenol in the crude phenol mixture (phenol/total phenolic compounds) is determined to be 0.8, where the obtained RPF could satisfy or even better than the national standard. Further addition of 10 wt% of urotropine (HMTA) as curing agent and 9 wt% of ferrocene (Fc) as modifier (named as MRPF) are found to significantly improve the graphitization of RPF. Under these conditions, the DTG at temperature of maximum mass lose rate (Tmax) of MRPF was lower than that of commercial resin. The graphitization level was as high as 61.6% with the residual carbon rate up to 41.4%, which are higher than those of national standard. These findings provide insights for the resourcezation of the phenolic distillation residue.

Our group has developed a modular computational framework that integrates in space and time: (1) an admittance/impedance (AM/IM) multiresolution method capable of predicting currents induced in microscale models of nerves due to neurostimulators of arbitrary geometry with (2) a neural simulation environment (NEURON) capable of predicting nerve excitation. This integration is achieved by coupling high-resolution electromagnetic field solutions from our in-house AM/IM solver with neuronal anatomy and biophysics models implemented in NEURON. Furthermore, this AM/IM/NEURON platform utilizes advanced parallel processing and shared memory techniques to optimize computation times and data transfer rates between the two solvers. Leveraging the capabilities of this platform, our group has undertaken a variety of studies ranging from fundamental neuroscience to applied neuroprosthethic design with the common thread of linking our AM/IM/NEURON computational modeling with experimental data to analyze signaling pathways, test hypotheses, and to guide and validate prosthetic designs.

Catechol-O-methyltransferase (COMT) is involved in estrogen metabolism and is vital to estrogen-induced carcinogenesis, including that of ovarian cancer. Although many recent epidemiologic studies have investigated associations between the COMT rs4680 polymorphism and ovarian cancer risk, the results remain inconclusive. We therefore performed a meta-analysis to derive a more precise estimate of associations. Systematic searches of the PubMed, Embase, Web of Science, Cochrane Library, Wanfang, China National Knowledge Infrastructure, and Chinese Biomedicine databases were undertaken to retrieve eligible studies. Odds ratios (ORs) with their corresponding 95% confidence intervals (CIs) were pooled to assess the strength of the association. In total, 8 case-control studies involving 1,293 cases and 2,647 controls were included in the meta-analysis. Overall, the results showed no evidence of significant association between the COMT rs4680 polymorphism and ovarian cancer risk in any of the assessed genetic models. Subgroup analyses by ethnicity also did not reveal any significant association in any genetic model (p>0.05). In conclusion, our findings suggest that the COMT rs4680 polymorphism may not contribute to the risk of ovarian cancer.