Establishment of a fast discriminant model with electronic nose for Polygonati Rhizoma mildew based on odor variation / 中国中药杂志

The odor fingerprint of Pollygonati Rhizoma samples with different mildewing degrees was analyzed and the relationship between the odor variation and the mildewing degree was explored. A fast discriminant model was established according to the response intensity of electronic nose. The α-FOX3000 electronic nose was applied to analyze the odor fingerprint of Pollygonati Rhizoma samples with different mildewing degrees and the radar map was used to analyze the main contributors among the volatile organic compounds. The feature data were processed and analyzed by partial least squares discriminant analysis(PLS-DA), K-nearest neighbor(KNN), sequential minimal optimization(SMO), random forest(RF) and naive Bayes(NB), respectively. According to the radar map of the electronic nose, the response values of three sensors, namely T70/2, T30/1, and P10/2, increased with the mildewing, indicating that the Pollygonati Rhizoma produced alkanes and aromatic compounds after the mildewing. According to PLS-DA model, Pollygonati Rhizoma samples of three mildewing degrees could be well distinguished in three areas. Afterwards, the variable importance analysis of the sensors was carried out and then five sensors that contributed a lot to the classification were screened out: T70/2, T30/1, PA/2, P10/1 and P40/1. The classification accuracy of all the four models(KNN, SMO, RF, and NB) was above 90%, and KNN was most accurate(accuracy: 97.2%). Different volatile organic compounds were produced after the mildewing of Pollygonati Rhizoma, and they could be detected by electronic nose, which laid a foundation for the establishment of a rapid discrimination model for mildewed Pollygonati Rhizoma. This paper shed lights on further research on change pattern and quick detection of volatile organic compounds in moldy Chinese herbal medicines.

Sex determination by osteometric assessment of the mastoid process using Cone Beam Computed Tomography / Determinação do sexo em uma população Iraniana por avaliação osteométrica do processo mastóide em imagens de TCFC

Objective: Sex determination is one of the most important parameters to identify in forensic science. Because the mastoid process is the most resistant to damage due to its position in the skull base, it can be used for sex determination. The purpose of this study was to measure the dimensions and convexity and internal angles of the mastoid process to present a model of sex determination in Iranian population. Material and methods: This study was performed on three-dimensional images of 190 Cone Beam Computed Tomography (CBCT) of 105 women and 85 men. On each CBCT the distance between the porion and the mastoid (PM), mastoid length (ML), the distance between the mastoidale and the mastoid incision (M-I), the mastoid height (MH), the mastoid width (MW), intermastoidale distance (IMD) the lateral surfaces of the left and right mastoids (IMLSD) and the Mastoid medial convergence angle (MMCA) was measured on both the right and the left. The data were analyzed by descriptive statistics, t-test, and discriminant function analysis. Results: Significant differences were found for all variables except MMCA and MF in both sex. All measured variables except MW were greater for men than women. The discriminant model achieved a total accuracy of 93.7%. Among the measured factors IMD and IMSLD had the most influence on sex determination. Conclusion: Measuring the dimensions of the mastoid process is a very good method for sex determination with high accuracy of 90% (AU)

Objetivo: A determinação do sexo é um dos parâmetros mais importantes para identificação na ciência forense. Por ser o processo mastóide resistente a danos, devido a sua posição na base do crânio, este poderia ser usado na determinação do sexo. O objetivo deste estudo foi mensurar as dimensões, convexidade e ângulos internos do processo mastóide para apresentar um modelo de determinação do sexo em uma população Iraniana. Material e métodos: Este estudo foi realizado em 190 imagens de tomografia computadorizada de feixe cônico (TCFC), sendo 105 mulheres e 85 homens. Em cada TCFC foram realizadas medidas no processo mastóide em comprimento (ML), altura (MH), largura (MW) em ambos os lados direito e esquerdo, também foi medida a distância entre o Pórion e o processo mastóide (PM), distância até incisura mastoidea (M-I), distância entre as superfícies mediais (IMD) distância entre as superfícies laterais dos processos direito e esquerdo (IMLSD) e o ângulo de convergência medial (MMCA). Os dados foram analisados por estatística descritiva, teste t e análise de função discriminante. Resultados: Diferenças significativas foram encontradas para todas as variáveis, exceto MMCA e MF em ambos os sexos. Todas as variáveis medidas, exceto MW, foram maiores para os homens do que para as mulheres. O modelo de análise de função discriminante alcançou uma precisão total de 93,7%. Entre os fatores medidos, o IMD e o IMSLD tiveram a maior influência na determinação do sexo. Conclusão: Podemos concluir que as dimensões do processo mastóide constituem um método para determinação do sexo, em população Iraniana, com precisão de 90% (AU)

Prediction of pathological grading of Henoch＿Sch?nlein purpura nephritis in children based on Fisher step-Wise discriminant analysis / 中华实用儿科临床杂志

Objective To establish the pathological grades of Henoch-Sch?nlein purpura nephriti(s HSPN) in children with diagnostic prediction models by stepwise Fisher discriminant in children. Methods Based on the in-vestigation of 28 clinical indicators from 144 cases with HSPN came from Children′s Hospital of Chongqing Medical University,the sensitive indicators were found and stepwise Fisher discriminant model was established and its accuracy in predicting the pathological classification of HSPN was tested. Results There were 5 laboratory indicators and clini-cal manifestations with different pathological grades of HSPN. In children with pathological gradeⅡ,ⅢandⅣ,5 indi-cators were screened(P<0. 05)and stepwise Fisher discriminant models were established. And the correct rate of comprehensive diagnosis was(61. 371 ± 8. 740)% in 100 random sampling diagnostic simulations;in children with pathological gradeⅢa and Ⅲb,5 indicators were also screened(P<0. 05)and stepwise Fisher discriminant models were established. And the correct rate of comprehensive diagnosis was(68. 015 ± 5. 736)% in 100 random sampling diagnostic simulations. Conclusions The stepwise Fisher discriminant models established in this research have a better diagnostic accuracy in forecasting for pathological grade of HSPN,and have a certain guiding value on early treatment and prognosis evaluation of children with newly diagnosed HSPN.

Prediction of pathological grading of Henoch-Schönlein purpura nephritis in children based on Fisher stepwise discriminant analysis / 中华实用儿科临床杂志

Objective@#To establish the pathological grades of Henoch-Schönlein purpura nephritis(HSPN) in children with diagnostic prediction models by stepwise Fisher discriminant in children.@*Methods@#Based on the investigation of 28 clinical indicators from 144 cases with HSPN came from Children′s Hospital of Chongqing Medical University, the sensitive indicators were found and stepwise Fisher discriminant model was established and its accuracy in predicting the pathological classification of HSPN was tested.@*Results@#There were 5 laboratory indicators and clinical manifestations with different pathological grades of HSPN.In children with pathological grade Ⅱ, Ⅲ and Ⅳ, 5 indicators were screened (P<0.05) and stepwise Fisher discriminant models were established.And the correct rate of comprehensive diagnosis was (61.371±8.740)% in 100 random sampling diagnostic simulations; in children with pathological grade Ⅲa and Ⅲb, 5 indicators were also screened (P<0.05) and stepwise Fisher discriminant models were established.And the correct rate of comprehensive diagnosis was (68.015±5.736)% in 100 random sampling diagnostic simulations.@*Conclusions@#The stepwise Fisher discriminant models established in this research have a better diagnostic accuracy in forecasting for pathological grade of HSPN, and have a certain guiding value on early treatment and prognosis evaluation of children with newly diagnosed HSPN.

Taste comparison of unprocessed and processed Siegesbeckiae puescens based on electronic tongue / 中草药

Objective: To study the taste of unprocessed and processed Siegesbeckiae puescens (SP) and establish a taste discrimination model. Methods: The sour, bitter, astringent, salty, and sweet values of 12 batches of unprocessed and processed SP were measured by electronic tongue using a paired t-test, principal component analysis (PCA), and the linear discriminant factor analysis (LDA) to study the changes of the taste of unprocessed and processed SP. Results: The paired t-test showed that the bitterness and saltiness of processed SP decreased; Astringency, sweetness, and sourness did not significantly change. The PCA can distinguish unprocessed and processed SP. The model of the taste of unprocessed and processed SP was established through the LDA, and conduct cross validation; Its correct rate reached 100%. The fingerprint of taste of unprocessed and processed SP was established through radar-graph. Conclusion: Electronic tongue can identify sour, bitter, astringent, salty, and sweet values of traditional Chinese medicine accurately. It can reflect the numerical change of taste of unprocessed and processed SP combining with statistical method. Based on it, it can be inferred that the relationship between the change of taste and clinical efficacy before and after processing of SP. Besides, the discriminant model can be used to distinguish unprocessed and processed SP.

The incidence discriminant model for close contacts of active tuberculosis patients / 中华流行病学杂志

Objective To establish a discriminant model and to provide a relatively accurate scientific basis for the early diagnosis of tuberculosis (TB) and detection of the close contacts. Methods Through logistic regression analysis, key factors were selected according to Bayes theory and key factors of TB incidence of the close contacts were screened as well as a discriminant model was established. Results The non-TB incidence discriminant function of the close contacts was described as: Y1= -39.831 (constant) + 1.927 X, (sputum-frequency) + 3.528 X2 (education) + 0.309 X3 (contact time) + 5.893 X4 (evade) + 2.140 X5 (ventilation) + 8.706 X6 (cough) + 30.970 X7 (fever). The discriminant function of non-TB incidence of the close contacts was as: Y2 =-57.875 (constant) + 2.343 X1 (sputum-frequency) + 3.965 X2 (education) + 0.361 X3 (contact time) + 6.296 X4 (evade) + 1.348 X5 (ventilation) + 12.984 X6 (cough) + 36.555 X7 (fever). Conduslon The diseriminant model night be used to contribute to the early diagnosis, early intervention and timely treatment on those close contacts of tuberculosis cases.