Objective To retrospectively analyze the clinical results of peroneal tendon insertion and reconstruction with suture anchors in the treatment of avulsion fractures of the fifth metatarsal base.Methods Five patients (three males and two females) with the fifth metatarsal base fractures were in zone 1, with average seven days of duration before surgery. The result of radiological examination confirmed that all fractures were in zone 1 of the fifth metatarsal base, with some small, comminuted and obviously displaced pieces. After removal of the small comminuted fracture pieces, the peroneal tendon insertion was dissociated and sutured to the fifth metatarsal base by suture anchors (5 mm in diameter) with line. The feet were immobilized by plaster in the vagus position. The patients began to walk with weightbearing six weeks after operation. Results All patients were followed up for at least six months, which showed no deformity of the feet. The function of forefoot valgus and abduction restored to normal. There was no any loss in muscle force compared with the normal side. Conclusions Peroneal tendon insertion and reconstruction by suture anchors is very helpful to solve the problem in the fixation of the small fracture fragments. The function of the peroneal tendon recovers very well. The surgery has the advantages of easy manipulation and small area of dissection, without requirement of secondary surgery.

AIM: To study the effects of [Gly~(14)]-humanin,one of the strongest derivate of humanin,on proliferation and differentiation of neural stem cells(NSCs) and the protective action of cell death or apoptosis induced by ?-amyloid protein 1-42.METHODS: NSCs were treated with different concentrations of [Gly~(14)]-humanin and ?-amyloid protein 1-42.RESULTS: 10 nmol/L [Gly~(14)]-humanin made NSCs resistant to the apoptotic action induced by A?P1-42 and prevented NSCs from death induced by 25 ?mol/L ?-amyloid protein 1-42.The differentiated neural stem cells yield more neuronal cells than that in control groups when 10 nmol/L [Gly~(14)]-humanin was added to the culture media.The number of cells increased and the cultures grown with a manner of floating cell clones likes that cultured in the presence of mitogen when 100 nmol/L [Gly~(14)]-humanin was added to the differentiation culture media.CONCLUSION: The [Gly~(14)]-humanin significantly promoted the proliferation and neuronal differentiation of neural stem/progenitor cells and also inhibited the toxic action of ?-amyloid protein 1-42 on cultured neural stem/progenitor cells.

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Methods for achieving diagnosis of Parkinson's disease (PD) based on speech data mining have been proven effective in recent years. However, due to factors such as the degree of disease of the data collection subjects and the collection equipment and environment, there are different categories of sample aliasing in the sample space of the acquired data set. Samples in the aliased area are difficult to be identified effectively, which seriously affects the classification accuracy of the algorithm. In order to solve this problem, a partition bagging ensemble learning is proposed in this article, which measures the aliasing degree of the sample by designing the the ratio of sample centroid distance metrics and divides the training set into multiple subsets. And then the method of transfer training of misclassified samples is used to adjust the results of subset partitioning. Finally, the optimized weights of each sub-classifier are used to integrate the test results. The experimental results show that the classification accuracy of the proposed method is significantly improved on two public datasets and the increasement of mean accuracy is up to 25.44%. This method not only effectively improves the classification accuracy of PD speech dataset, but also increases the sample utilization rate, providing a new idea for the diagnosis of PD.
Algorithms ; Data Mining ; Humans ; Machine Learning ; Parkinson Disease ; diagnosis ; Speech

Objective To compare the impact on ¹⁸F fluorodeoxyglucose （¹⁸F-FDG） positron emission tomography （PET） image quality when block sequential regularized expectation maximization （BSREM） algorithm and ordered subset expectation maximization （OSEM） algorithm were used at various acquisition times （ATs）, and to discuss the feasibility of AT optimization with BSREM algorithm. Methods In the phantom experiment, the NEMA/IEC PET phantom was adopted. In the clinical study, 66 pulmonary nodules with high uptake values from 61 patients who underwent a ¹⁸F-FDG PET-CT examination for pulmonary nodules from March to September 2020 were included. PET images were reconstructed according to BSREM algorithm and OSEM algorithm at various ATs in both the phantom experiment and the clinical study. Coefficient of variation, signal-to-noise ratio, contrast-to-noise ratio, and activity values （uptake value in the phantom experiment; standardized uptake value in the clinical study） were compared between the above sequence images for quality evaluation. Results The phantom experiment showed that the image quality of 120 s BSREM sequence was superior to that of 120 s OSEM sequence, and the image quality of 75 s BSREM sequence was similar to that of 120 s OSEM sequence. The clinical study showed that the image quality of 120 s BSREM sequence was superior to that of 120 s OSEM sequence, and the image quality of 75 s BSREM sequence was slightly better than that of 120 s OSEM sequence. Conclusion In the PET phantom experiment and the clinical study of pulmonary nodules with high uptake values, BSREM algorithm can significantly improve the image quality as compared to OSEM algorithm, and the image quality of 75 s BSREM sequence is slightly better than that of 120 s OSEM sequence.