Objective To develop a single-person breast surgery teaching system to improve the teaching efficiency of breast surgery.Methods The single-person breast surgery teaching system consisted of a magnetic suspension and retraction device and a breast model.The magnetic suspension and retraction device was composed of a magnetic suspension component and a magnetic retraction component,of which,the magnetic suspension component included a bracket,an outer magnet and an inner magnet and the magnetic retraction component comprised a magnetic base and an elastic grasping forceps.The breast model was established with porcine abdominal tissue obtained from slaughterhouses.Twelve surgical trainees were randomized into an experimental group(n=6)and a control group(n=6),and the 2 groups performed flap release operations on the breast model with skin-preserving mastectomy as the target procedure.The operation was carried out with the developed system in the experimental group and with the traditional procedure in the control group.Results The two groups had the flap-free operation on the breast model finished successufully,which had no significant differences in the length of incision(P>0.05);the experimental group gained advantages over the control group in the number of assistants required,operation time,times of skin flap injuries,times of glandular injuries and effect of exposure,with the differences being statistically significant(all P<0.05).Conclusion The single-person breast surgery teaching system enhances the effect of exposure efficiently,meets the reequirements for single-person training and improves the teaching efficiency.[Chinese Medical Equipment Journal,2025,46(7):34-38]

Objective To propose a brain electrical phase prediction method based on long short-term memory network(LSTM)to improve the accuracy and robustness of phase synchronization prediction in transcranial magnetic stimulation(TMS).Methods First,an LSTM consisting of an input layer,an LSTM layer,an ReLU activation layer,a fully connected layer and a regression layer was constructed to capture the EEG signal features through the synergistic action of input gates,forgetting gates and output gates.Second,eye-open resting-state EEG data from 30 healthy subjects were trained using the LSTM to obtain a predictive model for EEG signal and EEG phase prediction.Finally,the LSTM method and the traditional autoregressive(AR)method were compared in terms of the phase prediction errors at the overall and individual levels and the prediction performance for peaks and troughs.A regression model was used to explore the relationships between instantaneous EEG amplitude,signal-to-noise ratio and phase prediction error with the LSTM method.Results The LSTM method achieved a total phase prediction error of 0.04°±5.69°,which was lower than that of the traditional AR method(-3.36°±51.13°).For each subject,the LSTM method demonstrated superior phase prediction accuracy compared to the traditional AR method(P＜0.001).The accuracy for predicting peaks(troughs)by the LSTM method(about 89％)was higher than that by the traditional AR method(about 10％).Unlike the traditional AR method,the LSTM method didnot result in linear relationships between instantaneous EEG amplitude,signal-to-noise ratio and phase prediction error,with Pvalues being 0.58 and 0.18,respectively.Conclusion The LSTM-based brain electrical phase prediction method shows high accuracy and robustness when used for EEG phase-synchronized TMS.[Chinese Medical Equipment Journal,2025,46(3):1-8]

Objective To propose a brain electrical phase prediction method based on long short-term memory network(LSTM)to improve the accuracy and robustness of phase synchronization prediction in transcranial magnetic stimulation(TMS).Methods First,an LSTM consisting of an input layer,an LSTM layer,an ReLU activation layer,a fully connected layer and a regression layer was constructed to capture the EEG signal features through the synergistic action of input gates,forgetting gates and output gates.Second,eye-open resting-state EEG data from 30 healthy subjects were trained using the LSTM to obtain a predictive model for EEG signal and EEG phase prediction.Finally,the LSTM method and the traditional autoregressive(AR)method were compared in terms of the phase prediction errors at the overall and individual levels and the prediction performance for peaks and troughs.A regression model was used to explore the relationships between instantaneous EEG amplitude,signal-to-noise ratio and phase prediction error with the LSTM method.Results The LSTM method achieved a total phase prediction error of 0.04°±5.69°,which was lower than that of the traditional AR method(-3.36°±51.13°).For each subject,the LSTM method demonstrated superior phase prediction accuracy compared to the traditional AR method(P＜0.001).The accuracy for predicting peaks(troughs)by the LSTM method(about 89％)was higher than that by the traditional AR method(about 10％).Unlike the traditional AR method,the LSTM method didnot result in linear relationships between instantaneous EEG amplitude,signal-to-noise ratio and phase prediction error,with Pvalues being 0.58 and 0.18,respectively.Conclusion The LSTM-based brain electrical phase prediction method shows high accuracy and robustness when used for EEG phase-synchronized TMS.[Chinese Medical Equipment Journal,2025,46(3):1-8]

Objective To develop a single-person breast surgery teaching system to improve the teaching efficiency of breast surgery.Methods The single-person breast surgery teaching system consisted of a magnetic suspension and retraction device and a breast model.The magnetic suspension and retraction device was composed of a magnetic suspension component and a magnetic retraction component,of which,the magnetic suspension component included a bracket,an outer magnet and an inner magnet and the magnetic retraction component comprised a magnetic base and an elastic grasping forceps.The breast model was established with porcine abdominal tissue obtained from slaughterhouses.Twelve surgical trainees were randomized into an experimental group(n=6)and a control group(n=6),and the 2 groups performed flap release operations on the breast model with skin-preserving mastectomy as the target procedure.The operation was carried out with the developed system in the experimental group and with the traditional procedure in the control group.Results The two groups had the flap-free operation on the breast model finished successufully,which had no significant differences in the length of incision(P>0.05);the experimental group gained advantages over the control group in the number of assistants required,operation time,times of skin flap injuries,times of glandular injuries and effect of exposure,with the differences being statistically significant(all P<0.05).Conclusion The single-person breast surgery teaching system enhances the effect of exposure efficiently,meets the reequirements for single-person training and improves the teaching efficiency.[Chinese Medical Equipment Journal,2025,46(7):34-38]

Objective: The aim of this study was to investigate the efficacy of endoscopically visualized radiofrequency for treating sacroiliac joint pain. Methods: The study protocol was preregistered on INPLASY (INPLASY202450011). A systematic search was carried out across multiple databases, including PubMed, Embase, Cochrane CENTRAL, and Web of Science, from their inception until May 6, 2024. Peer-reviewed studies on human participants with low back pain diagnosed with sacroiliac joint pain and treated with endoscopically visualized radiofrequency ablation (RFA) were included. The study focused on evaluating changes in the visual analogue scale (VAS) and Oswestry Disability Index (ODI) from before the commencement of endoscopically visualized radiofrequency to postoperation. The quantitative syntheses employed a random-effects model, with effect sizes reported using the mean difference. Subgroup analyses were conducted based on 6-month and 12-month postoperative time points. Results: Four studies were ultimately included in this meta-analysis. Three of the studies were case series, while one was a retrospective cohort study. The mean difference of VAS scores between the preoperative and 6-month and 12-month postoperative assessments was -5.60 and -5.96, respectively. The mean difference of the ODI between preoperative and 6-month and 12-month postoperative assessments was -21.03 and -23.67, respectively. A subgroup analysis of both outcome measurement indices at the 2 follow-up time points did not reveal any statistically significant differences. Conclusion Endoscopically visualized RFA demonstrates potential as a treatment modality for sacroiliac joint pain; however, there is currently insufficient evidence to substantiate its long-term efficacy.

This study systematically reviewed the clinical efficacy of acupuncture for lumbar myofascial pain syndrome. The randomized controlled trials (RCTs) regarding acupuncture for lumbar myofascial pain syndrome were searched in PubMed, Cochrane Library, Web of Science, EMbase, Scopus, China national knowledge infrastructure (CNKI), Wanfang database, VIP database, and China biomedical literature service system (SinoMed) from database inception until August 1st, 2022. The Cochrane's risk of bias assessment tool was used to assess the risk of bias in all included studies, and Review Manager 5.3 software was used for statistical analysis of the extracted data. As a result, 12 RCTs, involving 1 087 patients with lumbar myofascial pain syndrome, were ultimately included. The Meta-analysis results showed that the visual analog scale (VAS) score of pain in the observation group was lower than those in the oral non-steroidal anti-inflammatory medication control [SMD=-1.67, 95%CI (-2.44, -0.90), Z=4.26, P<0.000 1] and other treatment control [low-frequency electrical stimulation, tuina, electromagnetic wave irradiation combined with piroxicam gel, SMD=-1.98, 95%CI (-2.48, -1.48), Z=7.74, P<0.000 01]. The pain rating index (PRI) score in the observation group was lower than those in the lidocaine injection control [MD=-2.17, 95%CI (-3.41, -0.93), Z=3.44, P=0.000 6] and other treatment control [low-frequency electrical stimulation, tuina, MD=-5.75, 95%CI (-9.97, -1.53), Z=2.67, P=0.008]. The present pain intensity (PPI) score in the observation group was lower than that in other treatment control [low-frequency electrical stimulation, tuina, MD=-1.04, 95%CI (-1.55, -0.53), Z=4.01, P<0.000 1]. In conclusion, compared with oral non-steroidal anti-inflammatory medication, low-frequency electrical stimulation, tuina, and electromagnetic wave irradiation combined with piroxicam gel, acupuncture is more effective in reducing pain in patients with lumbar myofascial pain syndrome; acupuncture also exhibites advantage over lidocaine injection in improving PRI score and showed better outcomes over tuina and low-frequency electrical stimulation in improving PRI and PPI scores.
Humans ; Piroxicam ; Acupuncture Therapy/methods* ; Pain ; Myofascial Pain Syndromes/therapy* ; Anti-Inflammatory Agents, Non-Steroidal/therapeutic use* ; Lidocaine

Diversity-oriented synthesis is aimed to increase the chemical diversity of target natural products for extensive biological activity evaluation. Indole ring is an important functional group in a large number of drugs and other biologically active agents, and indole-containing natural products have been frequently isolated from marine sources in recent years. In this paper, a series of indole-containing marine natural hyrtioreticulin derivatives, including 19 new ones, were designed, synthesized through a key Pictet-Spengler reaction, and evaluated for their inflammation related activity. Compound 13b displayed the most promising activity by inhibiting TNF-α cytokine release with an inhibitory rate of 92% at a concentration of 20 μmol·L^-1. A preliminary structure-activity relationship analysis was also discussed. This research may throw light on the discovery of marine indole alkaloid derived anti-inflammatory drug leads.
Animals ; Anti-Inflammatory Agents/pharmacology* ; Biological Products/pharmacology* ; Indole Alkaloids/pharmacology* ; Porifera ; Structure-Activity Relationship

"Active health" has been emphasized in "Healthy China 2030" in dealing with the challenges of population aging, so the anti-aging strategies are requires to be more precise and effective at both individual and population levels. Aging is influenced by both genetic and environmental factors. In the recent 20 years, the research of genetics of human ageing has been greatly facilitated owning to the development of high-throughput sequencing techniques, statistical methodology for multi-omics data, as well as the growing qualified evidence of large-scale population-based genomic research. This paper provides a review of genome-wide association research of aging.
Aging/genetics* ; Genome-Wide Association Study/methods* ; Genomics/methods* ; High-Throughput Nucleotide Sequencing ; Humans ; Phenotype

Medicinal and edible Armeniacae Semen Amarum (ASA) is susceptible to fungal contamination because it is rich in oil and other nutrients. In this study, the fungal community diversity in ASA samples was analyzed based on a DNA metabarcoding technique to provide evidence for its safe use. Twelve batches of ASA samples samples from four medicinal material markets and three processing approaches were collected. Total DNA was extracted, the ITS2 sequences were amplified, and high-throughput sequencing was performed using the Illumina MiSeq PE300 platform. The results show that Ascomycota was the most dominant fungus in ASA samples. The predominant genus in sample SW1_P was Diutina, whereas the most predominant genus in the other samples was Aspergillus. Three harmful fungi were identified, namely, Aspergillus flavus, Wallemia sebi, and Rhizopus arrhizus. In addition, significant differences were observed in the relative abundance of Botryosphaeriales and Alternaria in ASA samples from different collection sites. Meanwhile, there were significant differences in the relative abundance of Hypocreales and Cladosporium in ASA samples from different processing approaches. In summary, the DNA metabarcoding technique can effectively clarify the fungal community diversity and quickly detect potential toxigenic fungi in ASA samples, thus providing a warning for mycotoxin contamination.

Cerebral Ventricles ; Heart Ventricles ; Humans ; Punctures