[Analysis of clinical characteristics and risk factors in patients with neuropsychiatric systemic lupus erythematosus (NPSLE)].

Objective To analyze clinical characteristics of patients with neuropsychiatric systemic lupus erythematosus (NPSLE) and to explore the risk factors affecting the occurrence of NPSLE. Methods A total of 63 NPSLE patients and 61 non-NPSLE patients were enrolled. The clinical manifestations and laboratory examination data of the two groups were collected, and the disease characteristics of NPSLE were summarized to analyze the risk factors affecting the occurrence of NPSLE by multivariate Logistic regression. Results The most common clinical manifestations of NPSLE patients were headache (39.7%), affective disorder (33.3%) and cognitive impairment (30.2%), with cranial magnetic resonance abnormalities (63.5%) and a high cerebrospinal fluid protein positive rate (52.4%). Compared with non-NPSLE patients, there were significantly increased levels of Raynaud's phenomenon, renal involvement, anti-RNP antibody, anti-ribosomal P protein, hypocomplementemia, lymphocyte-to-monocyte ratio (LMR) and neutrophil-to-lymphocyte ratio (NLR) in NPSLE patients. Multivariate Logistic regression analysis showed that renal involvement, Raynaud's phenomenon, positive anti-ribosomal P protein antibody, and elevated LMR and NLR were independent risk factors for NPSLE. Conclusion Headache is the most common symptom in patients with NPSLE, and abnormal cranial MRI and cerebrospinal fluid examination are more common. SLE patients who present with renal involvement, Raynaud's phenomenon, positive anti-ribosomal P protein antibodies, and elevated levels of LMR and NLR are more susceptible to developing NPSLE.

Interfacial Modification and Bending Performance of 3D Orthogonal Woven Composites with Basalt Filament Yarns.

To improve their interfacial properties, 3D orthogonal woven fabrics with basalt filament yarns were modified with functionalized carboxylated carbon nanotubes (KH570-MWCNTs) and polydopamine (PDA). Fourier infrared spectroscopy (FT-IR) analysis and scanning electron microscopy (SEM) testing were used. It was demonstrated that both methods could successfully modify basalt fiber (BF) 3D woven fabrics. The 3D orthogonal woven composites (3DOWC) were produced with epoxy resin and 3D orthogonal woven fabrics as raw material by the VARTM molding process. The bending properties of the 3DOWC were tested and analyzed by experimental and finite element analysis methods. The results showed that the bending properties of the 3DOWC modified by KH570-MWCNTs and PDA were significantly improved, and the maximum bending loads were increased by 31.5% and 31.0%. The findings of the finite element simulation and the experiment results were in good agreement, and the simulation error value was 3.37%. The correctness of the finite element simulation results and the model's validity further reveal the material's damage situation and damage mechanism in the bending process.

[Establishment of extraction method for Gardeniae Fructus extract and its application in evaluating different Gardeniae Fructus decoction pieces].

In this experiment,the gradation analysis method was used to evaluate the quality of different pieces of Gardeniae Fructus through the extraction rate difference and the difference analysis of the main components in the extract. In this experiment cold-dip and hot-dip methods were used to compare the yield of Gardeniae Fructus extract and the content of chemical constituents with water,25%,50%,75% and 95% ethanol fractions. By weighted calculation,the optimal extraction method of Gardeniae Fructus was determined,and this was verified by practical application. RESULTS:: showed that for the water-soluble extract,cold dip method was better than the hot dip method; and for alcohol-soluble extract,75% ethanol under cold dip method was best. The verification results showed that water-soluble extracts under cold dip methods could be used to significantly distinguish the raw Gardeniae Fructus( GF) and processed( stir-baked) GF( GFP) collected from the market. Meanwhile,this method could be also used to distinguish the same batch of GF,GFP and carbonized GF( GFC) with significant differences,respectively( P<0. 05). Ethanol-soluble extract can be used to clearly distinguish GFP and GFC pieces in the same batch( P<0. 05). The results of content determination showed that the variation coefficient of components in GF processed products was higher than that in extracts,and the content of hydroxygeniposide was the most significant component between GF and its processed products. It is suggested that the method of water-soluble extract of GF and the determination of the content of gardoside should be combined together to evaluate the quality of GF and its heat processed products.

Random-Noise Denoising and Clutter Elimination of Human Respiration Movements Based on an Improved Time Window Selection Algorithm Using Wavelet Transform.

This paper considers vital signs (VS) such as respiration movement detection of human subjects using an impulse ultra-wideband (UWB) through-wall radar with an improved sensing algorithm for random-noise de-noising and clutter elimination. One filter is used to improve the signal-to-noise ratio (SNR) of these VS signals. Using the wavelet packet decomposition, the standard deviation based spectral kurtosis is employed to analyze the signal characteristics to provide the distance estimate between the radar and human subject. The data size is reduced based on a defined region of interest (ROI), and this improves the system efficiency. The respiration frequency is estimated using a multiple time window selection algorithm. Experimental results are presented which illustrate the efficacy and reliability of this method. The proposed method is shown to provide better VS estimation than existing techniques in the literature.