Objective : To develop and to validate a combined model integrating18F-FDG PET/CT radiomics with clinical features to distinguish between lymphoma and lymphoid inflammatory hyperplasia. Methods : A retrospective study was conducted on a cohort of 232 patients diagnosed with lymphoma or lymphoid inflammatory hyperplasia. Comparative analyses of clinical and traditional imaging indicators were performed to identify inter-group differences. The clinical features were delineated and extracted using medical software including 3D-Slicer and Lifex. Selection of the features was performed to construct a PET/CT-based radiomics Logistic model, with a combined model integrating PET/CT with clinical features then used to evaluate the discriminative efficacy of these models. Results: Analysis of inter-group differences indicated that age, CTmean, and metabolic tumor volume(MTV)were effective for differentiating between lymphoma and lymphoid inflammatory hyperplasia(P<0.05). The PET/CT-based radiomics Logistic model differentiated between lymphoma and lymphoid inflammatory hyperplasia, with an area under curve(AUC) of 0.924(95%CI: 0.884-0.960) and 0.863(95%CI: 0.774-0.939) in the training and testing cohorts, respectively. The integrated Logistic model that combined PET/CT-based radiomics with clinical features to distinguish between lymphoma and lymphoid inflammatory hyperplasia achieved an AUC of 0.933(95%CI: 0.889-0.969) in the training cohort and 0.884(95%CI: 0.792-0.964) in the testing cohort. Decision curve analysis(DCA) demonstrated that the integrated model provided the greatest clinical net benefit. Conclusion The hybrid model integrating18F-FDG PET/CT radiomics with clinical features shows robust diagnostic efficacy to distinguish between lymphoma and lymphoid inflammatory hyperplasia.

The objective is to deal with brain effective connectivity among epilepsy electroencephalogram (EEG) signals recorded by use of depth electrodes in the cerebral cortex of patients suffering from refractory epilepsy during their epileptic seizures. The Wiener-Granger Causality Index (WGCI) is a well-known effective measure that can be useful to detect causal relations of interdependence in these kinds of EEG signals. It is based on the linear autoregressive model, and the issue of the estimation of the model parameters plays an important role in the calculation accuracy and robustness of WGCI to do research on brain effective connectivity. Focusing on this issue, a modified Akaike's information criterion algorithm is introduced in the computation of the WGCI to estimate the orders involved in the underlying models and in order to advance the performance of WGCI to detect brain effective connectivity. Experimental results support the interesting performance of the proposed algorithm to characterize the information flow both in a linear stochastic system and a physiology-based model.

AIM To establish the quality standard for Tibeten medicine Ershiwuwei Feibing Pills [Inula racemosa Hook.f.,Swertia bimaculata (Sieb.et Zucc.) Hook.Thors.ex Clarke,Phyllanthus emblica Linn.,Terminalia billerica (Gaertn.) Roxb.,etc.].METHODS TLC was applied to the qualitative identification of L racemosa,S.bimaculata,P.emblica and T.billerica,and HPLC was adopted in the quantitative determination of alantolactone,oleanolic acid,gallic acid and hydroxysafflor yellow A.RESULTS The TLC spots were clear without negative interference.Alantolactone,oleanolic acid,gallic acid and hydroxysafflor yellow A showed good linear relationships within the ranges of 4.324-216.2 μg/mL (r =0.999 9),32.222-1 611.1 μg/mL (r =0.999 9),4.072-203.6 μg/mL (r =0.999 9) and 4.266-213.3 μg/mL (r =0.999 9),whose average recoveries (RSDs) were 100.6％ (0.93％),100.3％ (2.1％),101.5％ (3.0％) and 100.1％ (1.8％),respectively.CONCLUSION This simple method can be used for the rapid quality control of Ershiwuwei Feibing Pills.

This paper was aimed to analyze and study the process of Turmeric fine pulverizing; and the powder properties of Turmeric ultra-micro powder after the process. Based on d50, the powder properties of Turmeric ultra-micro powder were summarized by using orthogonal design to select the optimal Turmeric fine pulverizing. Compari-sons were made on powder properties, such as exterior characters, IR spectra, fluidity and hygroscopicity before and after fine pulverizing. The results showed that optimal fine pulverizing process was determined based on orthogonal design. The conditions were that the material was 1 200 g, with water of 5.5% and crushing for 40 min. Compari-son of powder properties of Turmeric powders before and after fine pulverizing showed that as the diameter of the particle decreased. Turmeric particle gradually showed signs of aggregation. At the same time, granular sensation disappeared;the color turned lighter;powder became finer;fluidity was reduced;balanced hygroscopic capacity el-evated. Although the chemical composition and molecular structure had not changed;initial velocity and capacity of hygroscopicity increased, acceleration declined. It was concluded that Turmeric fine pulverizing was a convenient, reliable and practical process, with small size of particle. It can be used for Turmeric fine pulverizing. The compre-hensive evaluation showed that ultrafine powder four as the optimum powder.

373 adult cases with type Ⅱ diabetes mellitus were treated with, Shenqi Jiung Tang (SJT) Tablet and 108 cases with phenformin as control. The result showed that the symptoms were remarkably alleviated after treatment with SJT tablet. Blood glucose was decreased by 94.36％; 24-hour urine sugar was decreased by 85.79％ the total effective rate was 83.16％. The effect was significantly better than that of control group (p