Are there fibroblast growth factor receptor 1 mutations in a Chinese Kallmann syndrome family?

The present study examined 58 members of a Kallmann syndrome family and investigated whether there are fibroblast growth factor receptor 1 （FGFR1） gene mutations in this family. Genomic DNA from the proband and family members was subjected to PCR to amplify 18 exons of FGFR1, and the amplified products were sequenced to identify potential mutations. MRI of the olfactory bulb region was performed on suspected subjects. The patient and his father were diagnosed with Kallmann syndrome. A polymorphic site was found at 39542, with the proband and his parents being heterozygous （guanine ＋ cytosine）. However, healthy controls and the other members of this family were homozygous for guanine at this position.

Effects of Zingber mioga Aqueous Extract on Hepatic Anti-alcoholism in Mice

[Objectives]To study the anti-alcoholism effects of Zingber mioga(Thunb)Rosc aqueous extract(ZME)in drunken mice.[Methods]After all animals were administered with red star Erguotou by gavage to drunk,orally given ZME[0.4 mL/(10 g·BW)]or isometric saline.Neptunus Drinking[0.5 mL/(10 g·BW)]was used as positive control to compare the anti-alcoholism function.Then the time of righting reflex and climbing test,the activity of ADH and ALDH were measured.[Results]ZME(0.4 mL/10 g)can accelerate ethanol metabolism,also reduce the sober time and extend the time of climbing significantly.Meanwhile,the activity of alcohol dehydrogenase(ADH)and acetaldehyde dehydrogenase(ALDH)were obviously increased in mouse liver.The lower ethanol and acetaldehyde concentrations in the assay systems after enzyme reactions mean higher ADH and ALDH activities.[Conclusions]ZME can prevent drunkenness by enhancing the activities of ADH and ALDH in liver.

A Fault Feature Extraction Model in Synchronous Generator under Stator Inter-Turn Short Circuit Based on ACMD and DEO3S

This paper proposed a new diagnosis model for the stator inter-turn short circuit fault in synchronous generators.Different from the past methods focused on the current or voltage signals to diagnose the electrical fault,the sta-tor vibration signal analysis based on ACMD(adaptive chirp mode decomposition)and DEO3S(demodulation energy operator of symmetrical differencing)was adopted to extract the fault feature.Firstly,FT(Fourier trans-form)is applied to the vibration signal to obtain the instantaneous frequency,and PE(permutation entropy)is calculated to select the proper weighting coefficients.Then,the signal is decomposed by ACMD,with the instan-taneous frequency and weighting coefficient acquired in the former step to obtain the optimal mode.Finally,DEO3S is operated to get the envelope spectrum which is able to strengthen the characteristic frequencies of the stator inter-turn short circuit fault.The study on the simulating signal and the real experiment data indicates the effectiveness of the proposed method for the stator inter-turn short circuit fault in synchronous generators.In addition,the comparison with other methods shows the superiority of the proposed model.

Application of SABO-VMD-KELM in Fault Diagnosis of Wind Turbines

In order to improve the accuracy of wind turbine fault diagnosis,a wind turbine fault diagnosis method based on Subtraction-Average-Based Optimizer(SABO)optimized Variational Mode Decomposition(VMD)and Kernel Extreme Learning Machine(KELM)is proposed.Firstly,the SABO algorithm was used to optimize the VMD parameters and decompose the original signal to obtain the best modal components,and then the nine features were calculated to obtain the feature vectors.Secondly,the SABO algorithm was used to optimize the KELM parameters,and the training set and the test set were divided according to different proportions.The results were compared with the optimized model without SABO algorithm.The experimental results show that the fault diagnosis method of wind turbine based on SABO-VMD-KELM model can achieve fault diagnosis quickly and effectively,and has higher accuracy.

EBV-Induced Human CD8^＋ NKT Cells Synergise CD4^＋ NKT Cells Suppressing EBV-Associated Tumours upon Induction of Thl-Bias

CD8^＋ natural killer T （NKT） cells from EBV-associated tumour patients are quantitatively and functionally impaired. EBV-induced CD8^＋ NKT cells drive syngeneic T cells into a Thl-bias response to suppress EBV-associated malignancies. IL-4-biased CD4^＋ NKT cells do not affect either syngeneic T cell cytotoxicity or Th cytokine secretion. Circulating mDC1 cells from patients with EBV-associated malignancies impair the production of IFN-T by CD8^＋ NKT cells. In this study, we have established a human-thymus-SCID chimaera model to further investigate the underlying mechanism of EBV-induced CD8^＋ NKT cells in suppressing EBV-associated malignancies. In the human-thymus-SCID chimera, EBV-induced CD8^＋ NKT cells suppress EBV-associated malignancies in a manner dependent on the Thl-bias response and syngeneic CD3^＋ T cells. However, adoptive transfer with CD4^＋ NKT cells alone inhibits T cell immunity. Interestingly, CD4^＋ NKT cells themselves secrete high levels of IL-2, enhancing the persistence of adoptively transferred CD8^＋ NKT cells and T cells, thereby leading to a more pronounced T cell anti-tumour response in chimaeras co-transferred with CD4^＋ and CD8^＋ NKT cells. Thus, immune reconstitution with EBV-induced CD4^＋ and CD8^＋ NKT cells synergistically enhances T cell tumour immunity, providing a potential prophylactic and therapeutic treatment for EBV-associated malignancies.