Gender Determination in Pakhtun Pakistani Population Using Dental Arch Dimensions: A Digital Model Study

@#Introduction: In circumstances where the ante mortem list is unknown, gender determination would exclude onehalf of the population, aid in a more precise search of the ante mortem records. This study aims to formulate gender prediction models in the Pakhtun Pakistani population using digital dental arch dimensions. Methods: Data collection and analysis of the dental casts were conducted on 128 subjects, 64 males and 64 females from the Pakistani population. The mean age of the subjects was 19.2 years old. Several linear dental arch dimensions were measured and recorded for both upper and lower arches. Results: It was found that gender differences in linear arch dimensions were statistically significant for both males and females (p<0.05); in which the arch dimensions for the males were larger than the arch dimensions for the females. Stepwise discriminant function analysis found that the highest discriminant power of the variables was present within the inter-second premolar width for the upper arch and inter-molar width for the lower arch. These variables significantly contributed to gender variance. Moreover, the prediction of 67.2% of original grouped cases for the upper arch and 66.4% of cross-validated group cases was correct. Similarly, the correct prediction was made on 64.8% of original grouped cases for the lower arch and 64.1% of cross-validated group cases. Conclusion: The dental arch dimensions were larger among the males compared to the females. Prediction models obtained in this study were moderately strong predictors which may be used as an adjunct to predict gender.

Statistical modeling for analyzing grain yield of durum wheat under rainfed conditions in Azad Jammu Kashmir, Pakistan / Modelagem estatística para analisar o rendimento de grãos de trigo durum sob condições de chuva em Azad Jammu Kashmir, Paquistão

One of the most important traits that plant breeders aim to improve is grain yield which is a highly quantitative trait controlled by various agro-morphological traits. Twelve morphological traits such as Germination Percentage, Days to Spike Emergence, Plant Height, Spike Length, Awn Length, Tillers/Plant, Leaf Angle, Seeds/Spike, Plant Thickness, 1000-Grain Weight, Harvest Index and Days to Maturity have been considered as independent factors. Correlation ,regression, and principal component analysis (PCA) are used to identify the different durum wheat traits, which significantly contribute to the yield. The necessary assumptions required for applying regression modeling have been tested and all the assumptions are satisfied by the observed data. The outliers are detected in the observations of fixed traits and Grain Yield. Some observations are detected as outliers but the outlying observations did not show any influence on the regression fit. For selecting a parsimonious regression model for durum wheat, best subset regression, and stepwise regression techniques have been applied. The best subset regression analysis revealed that Germination Percentage, Tillers/Plant, and Seeds/Spike have a marked increasing effect whereas Plant thickness has a negative effect on durum wheat yield. While stepwise regression analysis identified that the traits, Germination Percentage, Tillers/Plant, and Seeds/Spike significantly contribute to increasing the durum wheat yield. The simple correlation coefficient specified the significant positive correlation of Grain Yield with Germination Percentage, Number of Tillers/Plant, Seeds/Spike, and Harvest Index. These results of correlation analysis directed the importance of morphological characters and their significant positive impact on Grain Yield. [...].

Uma das características mais importantes que os produtores de plantas visam melhorar é o rendimento de grãos, que é uma particularidade altamente quantitativa e controlada por várias características agromorfológicas. Foram considerados 12 traços morfológicos como fatores independentes, como Porcentagem de Germinação, Dias para Emergência da Espiga, Altura da Planta, Comprimento da Espiga, Comprimento da Aresta, Perfilhos /Planta, Ângulo da Folha, Sementes /Espiga, Espessura da Planta, Peso de 1000 Grãos, Índice de Colheita e Dias até a Maturidade. A correlação, regressão e análise de componentes principais (em inglês Principal Component Analysis (PCA)) são usadas para identificar as diferentes características do trigo duro, que contribuem significativamente para o rendimento. As suposições necessárias exigidas para a aplicação da modelagem de regressão foram testadas e todas as suposições são adequadas de acordo com os dados observados. Os outliers são detectados nas observações de características fixas e rendimento de grãos. Algumas observações são detectadas como outliers, mas as observações outliers não mostraram qualquer influência no ajuste da regressão. Para selecionar um modelo de regressão parcimonioso para o trigo duro, foram aplicadas tanto a melhor regressão de subconjunto quanto as técnicas de regressão stepwise. A melhor análise de regressão de subconjunto revelou que a porcentagem de germinação, perfilhos /planta e sementes /espiga tem um efeito de aumento acentuado, enquanto a espessura da planta tem um efeito negativo sobre o rendimento do trigo duro. Enquanto a análise de regressão passo a passo identificou que as características, porcentagem de germinação, perfilhos/planta e sementes /espiga contribuem significativamente para aumentar a produtividade do trigo duro. O coeficiente de correlação simples especificou a correlação positiva significativa do [...].

Statistical modeling for analyzing grain yield of durum wheat under rainfed conditions in Azad Jammu Kashmir, Pakistan

Abstract One of the most important traits that plant breeders aim to improve is grain yield which is a highly quantitative trait controlled by various agro-morphological traits. Twelve morphological traits such as Germination Percentage, Days to Spike Emergence, Plant Height, Spike Length, Awn Length, Tillers/Plant, Leaf Angle, Seeds/Spike, Plant Thickness, 1000-Grain Weight, Harvest Index and Days to Maturity have been considered as independent factors. Correlation, regression, and principal component analysis (PCA) are used to identify the different durum wheat traits, which significantly contribute to the yield. The necessary assumptions required for applying regression modeling have been tested and all the assumptions are satisfied by the observed data. The outliers are detected in the observations of fixed traits and Grain Yield. Some observations are detected as outliers but the outlying observations did not show any influence on the regression fit. For selecting a parsimonious regression model for durum wheat, best subset regression, and stepwise regression techniques have been applied. The best subset regression analysis revealed that Germination Percentage, Tillers/Plant, and Seeds/Spike have a marked increasing effect whereas Plant thickness has a negative effect on durum wheat yield. While stepwise regression analysis identified that the traits, Germination Percentage, Tillers/Plant, and Seeds/Spike significantly contribute to increasing the durum wheat yield. The simple correlation coefficient specified the significant positive correlation of Grain Yield with Germination Percentage, Number of Tillers/Plant, Seeds/Spike, and Harvest Index. These results of correlation analysis directed the importance of morphological characters and their significant positive impact on Grain Yield. The results of PCA showed that most variation (70%) among data set can be explained by the first five components. It also identified that Seeds/Spike; 1000-Grain Weight and Harvest Index have a higher influence in contributing to the durum wheat yield. Based on the results it is recommended that these important parameters might be considered and focused in future durum wheat breeding programs to develop high yield varieties.

Resumo Uma das características mais importantes que os produtores de plantas visam melhorar é o rendimento de grãos, que é uma particularidade altamente quantitativa e controlada por várias características agromorfológicas. Foram considerados 12 traços morfológicos como fatores independentes, como Porcentagem de Germinação, Dias para Emergência da Espiga, Altura da Planta, Comprimento da Espiga, Comprimento da Aresta, Perfilhos /Planta, Ângulo da Folha, Sementes /Espiga, Espessura da Planta, Peso de 1000 Grãos, Índice de Colheita e Dias até a Maturidade,. A correlação, regressão e análise de componentes principais (em inglês Principal Component Analysis (PCA)) são usadas para identificar as diferentes características do trigo duro, que contribuem significativamente para o rendimento. As suposições necessárias exigidas para a aplicação da modelagem de regressão foram testadas e todas as suposições são adequadas de acordo com os dados observados. Os outliers são detectados nas observações de características fixas e rendimento de grãos. Algumas observações são detectadas como outliers, mas as observações outliers não mostraram qualquer influência no ajuste da regressão. Para selecionar um modelo de regressão parcimonioso para o trigo duro, foram aplicadas tanto a melhor regressão de subconjunto quanto as técnicas de regressão stepwise. A melhor análise de regressão de subconjunto revelou que a porcentagem de germinação, perfilhos /planta e sementes /espiga tem um efeito de aumento acentuado, enquanto a espessura da planta tem um efeito negativo sobre o rendimento do trigo duro. Enquanto a análise de regressão passo a passo identificou que as características, porcentagem de germinação, perfilhos/planta e sementes /espiga contribuem significativamente para aumentar a produtividade do trigo duro. O coeficiente de correlação simples especificou a correlação positiva significativa do rendimento de grãos com a porcentagem de germinação, número de perfilhos/planta, sementes / espiga e índice de colheita. Esses resultados da análise de correlação direcionaram a importância dos caracteres morfológicos e seu impacto positivo e significativo no rendimento de grãos. Os resultados da PCA mostraram que a maior parte da variação (70%) entre o conjunto de dados pôde ser explicada pelos cinco primeiros componentes. Também identificou que Sementes / Espiga, Peso de 1000 Grãos e Índice de Colheita têm uma maior influência na contribuição para o rendimento do trigo duro. Com base nos resultados, recomenda-se que esses importantes parâmetros possam ser considerados e focados em futuros programas de melhoramento de trigo duro para desenvolver variedades de alto rendimento.

Epidemiological characteristics of hand， foot， and mouth disease and its correlation with meteorological factors in Minhang District， Shanghai from 2014 to 2018 / 上海预防医学

Objective To study the epidemiological features of hand， foot， and mouth disease （HFMD） in Minhang District of Shanghai and to explore the possible effects of meteorological factors on the onset of HFMD， aiming to provide a reference for the prevention and control of HFMD. Methods The incidence data of HFMD in Minhang District from 2014 to 2018 were collected for descriptive analysis. The data of meteorological factors that might affect HFMD were analyzed by Pearson analysis and multiple linear stepwise regression. Results The average incidence rate of HFMD in Minhang District from 2014 to 2018 was 271.51 per 100 000. The incidence of Huacao， Pujiang and Maqiao community were the highest. The incidence of HFMD in males was higher than in females and the 0‒5 age group had the largest number of cases， mainly in scattered children and children in kindergartens. The results of multiple linear stepwise regression analysis showed that the incidence of HFMD was negatively correlated with the weekly average air pressure （ b =-4.32， P =0.004）， and was positively correlated with the weekly minimum temperature （ b =2.62， P =0.040） and the weekly average relative humidity （ b =1.71， P =0.010）. The correlation with weekly average temperature， weekly maximum temperature， weekly precipitation， weekly average air pressure and weekly average water vapor pressure was not significant. Conclusion Meteorological factors in Minhang District of Shanghai are closely related to the occurrence of HFMD. Comprehensive measures should be taken to prevent and control HFMD.

Epidemiological characteristics of hand， foot， and mouth disease and its correlation with meteorological factors in Minhang District， Shanghai from 2014 to 2018 / 上海预防医学

Objective To study the epidemiological features of hand， foot， and mouth disease （HFMD） in Minhang District of Shanghai and to explore the possible effects of meteorological factors on the onset of HFMD， aiming to provide a reference for the prevention and control of HFMD. Methods The incidence data of HFMD in Minhang District from 2014 to 2018 were collected for descriptive analysis. The data of meteorological factors that might affect HFMD were analyzed by Pearson analysis and multiple linear stepwise regression. Results The average incidence rate of HFMD in Minhang District from 2014 to 2018 was 271.51 per 100 000. The incidence of Huacao， Pujiang and Maqiao community were the highest. The incidence of HFMD in males was higher than in females and the 0‒5 age group had the largest number of cases， mainly in scattered children and children in kindergartens. The results of multiple linear stepwise regression analysis showed that the incidence of HFMD was negatively correlated with the weekly average air pressure （ b =-4.32， P =0.004）， and was positively correlated with the weekly minimum temperature （ b =2.62， P =0.040） and the weekly average relative humidity （ b =1.71， P =0.010）. The correlation with weekly average temperature， weekly maximum temperature， weekly precipitation， weekly average air pressure and weekly average water vapor pressure was not significant. Conclusion Meteorological factors in Minhang District of Shanghai are closely related to the occurrence of HFMD. Comprehensive measures should be taken to prevent and control HFMD.

Statistical modeling for analyzing grain yield of durum wheat under rainfed conditions in Azad Jammu Kashmir, Pakistan / Modelagem estatística para analisar o rendimento de grãos de trigo durum sob condições de chuva em Azad Jammu Kashmir, Paquistão

One of the most important traits that plant breeders aim to improve is grain yield which is a highly quantitative trait controlled by various agro-morphological traits. Twelve morphological traits such as Germination Percentage, Days to Spike Emergence, Plant Height, Spike Length, Awn Length, Tillers/Plant, Leaf Angle, Seeds/Spike, Plant Thickness, 1000-Grain Weight, Harvest Index and Days to Maturity have been considered as independent factors. Correlation, regression, and principal component analysis (PCA) are used to identify the different durum wheat traits, which significantly contribute to the yield. The necessary assumptions required for applying regression modeling have been tested and all the assumptions are satisfied by the observed data. The outliers are detected in the observations of fixed traits and Grain Yield. Some observations are detected as outliers but the outlying observations did not show any influence on the regression fit. For selecting a parsimonious regression model for durum wheat, best subset regression, and stepwise regression techniques have been applied. The best subset regression analysis revealed that Germination Percentage, Tillers/Plant, and Seeds/Spike have a marked increasing effect whereas Plant thickness has a negative effect on durum wheat yield. While stepwise regression analysis identified that the traits, Germination Percentage, Tillers/Plant, and Seeds/Spike significantly contribute to increasing the durum wheat yield. The simple correlation coefficient specified the significant positive correlation of Grain Yield with Germination Percentage, Number of Tillers/Plant, Seeds/Spike, and Harvest Index. These results of correlation analysis directed the importance of morphological characters and their significant positive impact on Grain Yield. The results of PCA showed that most variation (70%) among data set can be explained by the first five components. It also identified that Seeds/Spike; 1000-Grain Weight and Harvest Index have a higher influence in contributing to the durum wheat yield. Based on the results it is recommended that these important parameters might be considered and focused in future durum wheat breeding programs to develop high yield varieties.

Uma das características mais importantes que os produtores de plantas visam melhorar é o rendimento de grãos, que é uma particularidade altamente quantitativa e controlada por várias características agromorfológicas. Foram considerados 12 traços morfológicos como fatores independentes, como Porcentagem de Germinação, Dias para Emergência da Espiga, Altura da Planta, Comprimento da Espiga, Comprimento da Aresta, Perfilhos /Planta, Ângulo da Folha, Sementes /Espiga, Espessura da Planta, Peso de 1000 Grãos, Índice de Colheita e Dias até a Maturidade,. A correlação, regressão e análise de componentes principais (em inglês Principal Component Analysis (PCA)) são usadas para identificar as diferentes características do trigo duro, que contribuem significativamente para o rendimento. As suposições necessárias exigidas para a aplicação da modelagem de regressão foram testadas e todas as suposições são adequadas de acordo com os dados observados. Os outliers são detectados nas observações de características fixas e rendimento de grãos. Algumas observações são detectadas como outliers, mas as observações outliers não mostraram qualquer influência no ajuste da regressão. Para selecionar um modelo de regressão parcimonioso para o trigo duro, foram aplicadas tanto a melhor regressão de subconjunto quanto as técnicas de regressão stepwise. A melhor análise de regressão de subconjunto revelou que a porcentagem de germinação, perfilhos /planta e sementes /espiga tem um efeito de aumento acentuado, enquanto a espessura da planta tem um efeito negativo sobre o rendimento do trigo duro. Enquanto a análise de regressão passo a passo identificou que as características, porcentagem de germinação, perfilhos/planta e sementes /espiga contribuem significativamente para aumentar a produtividade do trigo duro. O coeficiente de correlação simples especificou a correlação positiva significativa do rendimento de grãos com a porcentagem de germinação, número de perfilhos/planta, sementes / espiga e índice de colheita. Esses resultados da análise de correlação direcionaram a importância dos caracteres morfológicos e seu impacto positivo e significativo no rendimento de grãos. Os resultados da PCA mostraram que a maior parte da variação (70%) entre o conjunto de dados pôde ser explicada pelos cinco primeiros componentes. Também identificou que Sementes / Espiga, Peso de 1000 Grãos e Índice de Colheita têm uma maior influência na contribuição para o rendimento do trigo duro. Com base nos resultados, recomenda-se que esses importantes parâmetros possam ser considerados e focados em futuros programas de melhoramento de trigo duro para desenvolver variedades de alto rendimento.

Stepwise and precise therapy for osteoporotic thoracolumbar fracture / 中华创伤杂志

The osteoporotic thoracolumbar fracture (OTLF) accounts for nearly half of all osteoporotic fracture. Although this kind of fracture is more likely to heal spontaneously, some patients may experience complications such as chronic lower back pain, decreased pulmonary function, kyphosis, neurological dysfunction and mobility problems. Some relevant guidelines and expert consensus on osteoporosis and OTLF have been made at home and abroad, but there still exists a great controversy regarding the choice of treatment options for OTLF. Therefore, by summarizing the treatment progress of OTLF, the authors put forward the viewpoint of stepwise treatment of OTLF from the two aspects of the choice of treatment mode and the choice of surgical plan. At the same time, the concept of precision treatment is proposed, including accurate diagnosis, accurate treatment and application of intraoperative digital assistive technology, to provide a reference for clinicians to reasonably choose treatment methods.

The influence of alexithymia on risk behavior of college students / 中华行为医学与脑科学杂志

Objective:To explore the current situation of college students′ risk behavior and its relationship with alexithymia.Methods:A total of 992 college students from two colleges in Jiangxi Province were investigated with evaluation scale for risk behaviors of teenagers and Toronto alexithymia scale. SPSS 17.0 software was used for descriptive statistics, correlation analysis and regression analysis.Results:Evaluation scale for risk behaviors showed that 15.2% of college students had at least one risk behavior factor scored more than 3, and 1.0% had at least one factor scored more than 4. The scores of bad habits and extroversion behavior question of boys((1.72±0.50), (1.61±0.56)) were significantly higher than those of girls ((1.66±0.38), (1.45±0.40), t=2.205, P=0.028, t=5.020, P<0.01), and the scores of introversion behavior question and academic maladjustment of girls ((2.13±0.56), (2.51±0.53)) were significantly higher than those of boys ((1.97±0.62), (2.39±0.63), t=-4.157, P<0.01, t=-3.282, P=0.001). The four factors of risk behaviors were positively correlated with each other (0.497-0.673), and the risk behaviors of college students were clustered. There were significant differences in the total score of risk behaviors ((2.28±0.43), (1.99±0.37), (1.71±0.36)), introversion behavior question ((2.60±0.54), (2.17±0.49), (1.80±0.50)), bad habits ((1.95±0.49), (1.73±0.38), (1.54±0.36)), academic maladjustment ((2.82±0.52), (2.57±0.50), (2.25±0.54)) and extroversion behavior question ((1.72±0.56), (1.57±0.46), (1.37±0.38)) in alexithymia group, possible alexithymia group and non alexithymia group( F=157.252, 172.027, 75.654, 85.424, 45.604, all P<0.01). Multiple stepwise regression analysis showed that alexithymia could predict college students′ risk behaviors. Conclusion:Taking effective measures to reduce the level of alexithymia can reduce the occurrence of risk behaviors of college students.

Establishment of prediction model for predicting the death risk in patients with sepsis in 30 days / 中华急诊医学杂志

Objective:To predict the sepsis patients with bad outcomes in short term and help clinical physicians to take intervention measures to reduce the mortality.Methods:A total of 900 patients with sepsis who were hospitalized in the Dongyang Peoples’ Hospital between 1st Jan 2013 and 30th Mar 2021 had been involved in this study. Information including gender, age and examination results of first time within 24 hours following hospitalization were collected. Independent risk factors of death in 30 days were screened by logistic regression analysis and further confirmed by stepwise regression analysis. Based on the screened variables, nomogram prediction model was established. Finally, the prediction model was evaluated for its prediction power by the area under the curve of receiver operating characteristic (AUC), calibration accuracy by GiViTI calibration curve and clinical effectiveness by decline curve analysis (DCA). The established prediction model was validated by using bootstrap assay.Results:Stepwise regression analysis results showed that B-type natriuretic peptide, lactic acid, albumin, oxygenation index, mean artery pressure, hematocrit and heart rate within 24 hours after hospitalization were significantly associated with death in 30 days among patients with sepsis. The AUC of prediction model was 0.846, with P of 0.886 in calibration curve, calibration slope of 1.0, R2 of 0.385, brier scaled value of 0.092 and DCA curve above the two extreme curves. In validation using bootstrap, the prediction model owned an AUC of 0.854, a P of 0.994 in calibration curve, a brier scaled value of 0.090, a calibration slope of 1.0 and a R2 of 0.389. Also, its DCA curve was above the two extreme curves. Conclusions:B-type natriuretic peptide, Lactic acid, albumin, oxygenation index, mean artery pressure, hematocrit and heart rate within 24 hours after hospitalization were independent risk factors of death in 30 days among patients with sepsis. The established prediction model in this study owned good prediction power of sepsis patients who owned high risk of death in 30 days.

Clinical study of Guben-Tiaoping Decoction in improving the success rate of inhaled corticosteroid stepwise treatment in asthma / 国际中医中药杂志

Objective:To evaluate the effect of combined use of Guben-Tiaoping Decoction on the success rate of stepwise treatment and life quality of asthma patients. Methods:A total of 76 patients with asthma in remission stage who were using ICS were divided into treatment group (38 cases) and control group(38 cases) according to random number table. Both groups were treated with ICS reduction based on the 2017 Gina Protocol. The treatment group was treated with Guben-Tiaoping Decoction for 12 weeks. The number of patients who were able to successfully complete the stepwise treatment after the end of the trial was calculated, the relevant indexes of Asthma Control Test (ACT), TCM Syndrome score, St. George’s respiratory questionnaire (SGRQ) and lung function were collected before and after treatment. Result:After 12 weeks’ treatment, the success rate of stepwise was 89.5% (34/38) in the treatment group and 78.9% (30/38) in the control group ( χ2=14.862, P=0.001). Meanwhile, the ACT score of the treatment group were better than those in the control group (Daytime symptoms t=-3.860, P=0.001, Dyspnea t=-2.007, P=0.40, Night waking t=-2.732, P=0.009, Reliever needed for symptoms t=-2.262, P=0.031, Control situation t=-6.994, P=0.001, Total Score t=-9.562, P=0.001). The score of TCM Syndrome in the treatment group was significantly lower than that of the control group ( P=0.001); PEF in treatment group [(6.92 ± 1.71) L vs. (5.84 ± 1.22) L; t=-2.880, P=0.005] was significantly better than that of the control group. Conclusion:Guben-Tiaoping Decoction is helpful to improve the success rate of ICS stepwise treatment and the life quality of patients.

Comparison between Thin-Layer Models and Non-Traditional Methods in the Modelling of Drying Kinetics of Crustacean Wastes

Abstract This research aims to compare the classical thin-layer models, stepwise fit regression method (SRG) and artificial neural networks (ANN) in the modelling of drying kinetics of shrimp shell and crab exoskeleton. Thus, drying curves were obtained using a convective dryer (3.0 m/s) at temperatures of 30.45 and 60oC. The results showed a decreasing tendency for the drying time as the temperature increased for both materials. Drying curves modelling of both materials showed fitted results with R 2 adj >0.998 and MRE<13.128% for some thin-layer models. On the other hand, by SRG a simple model could be obtained as a function of time and temperature, with the greatest accuracy being found in the modelling of experimental data of crab exoskeleton, with MRE<10.149%. Finally, the ANNs were employed successfully in the modelling of drying kinetics, showing high prediction quality with the trained recurrent ANN models.

Quantitative analysis of DNA methylation by pyrosequencing and MassARRAY technique for age estimation: a comparative study / 南方医科大学学报

OBJECTIVE@#To study the difference in age estimation based on quantitative analysis of DNA methylation by MassARRAY and pyrosequencing techniques.@*METHODS@#The methylation levels of 9 CpG sites from two independent whole blood sample sets (containing 65 and 62 samples) were detected using MassARRAY and pyrosequencing techniques. Z-score transformation was used to remove the batch effects of different techniques, and a linear regression model was used for age prediction.@*RESULTS@#For age prediction using the MassARRAY system, the 65 samples showed a mean absolute difference (MAD) of 2.49 years before Z-score transformation of the data and 2.44 years after the transformation, similar to the results in the 62 samples (MAD of 3.36 years before and 3.42 years after Z-score transformation). For data typed from pyrosequencing, the 65 samples showed a MAD of 4.20 years before and 2.76 years after data Z-score transformation, also similar to the results in the 62 samples (MAD of 3.92 years before and 3.63 years after data transformation).@*CONCLUSIONS@#Z-score transformation can effectively reduce the system batch effect between MassARRAY and pyrosequencing. Data from the MassARRAY system allows direct age estimation without further data processing, while the pyrosequencing data may increase the error in age estimation, which can be corrected by Z-score transformation of the data.

Value of discriminant analysis for screening of clonorchiasis sinensis / 中国血吸虫病防治杂志

Objective To build a discriminant function of clonorchiasis sinensis using stepwise discriminant analysis, so as to investigate the feasibility of discriminant analysis for clonorchiasis sinensis screening. Methods Ten villages in Mulan County of Harbin City were sampled as the study sites using a cluster random sampling method. The fecal samples were collected from the permanent residents in the study sites and detected for Clonorchis sinensis eggs using the modified Kato-Katz smear technique. A questionnaire of clonorchiasis sinensis was designed. All data were entered into Epidata 3.1, and a discriminant analysis was performed using the software SPSS version 15.0. Variable were screened using the stepwise discriminant analysis, and the discriminant function was built using the Fisher’s discriminant analysis method. The effectiveness of the discriminant function for clonorchiasis sinensis screening was evaluated by comparison with the modified Kato-Katz smear method. Results Eight variables with statistical significance were included to build the discriminant function, including chronic cholecystitis, cholangitis, gender, eating raw fish, abdominal distension, ethnicity, abdominal pain and age, and the correction rate of the discriminant function was 88.75% to identify clonorchiasis sinensis. Conclusions The discriminant function of clonorchiasis sinensis can be rapidly and simply built based on the strong data processing and analysis capability of the SPSS software, which is rapid to screen clonorchiasis sinensis in Harbin City. Such a function has a high discriminant analysis capability, and provides insights into the establishment of rapid screening of clonorchiasis sinensis in other endemic areas.

Pre-operative hypertension and its risk factors: A cross-sectional study among patients admitted for surgery at a tertiary health care facility of Eastern India

Background: Hypertension (HTN) is one of the most common diagnoses in a primary health care setting and it is one of the important and preventable contributors to disease and death. HTN is considered as an additional risk factor in anesthesia and HTN is of special importance to the anesthetist for various reasons. Tracheal intubation, surgical incision, recovery from anesthesia, and post-operative pain can increase blood pressure (BP). Objectives: This study aims to find out the burden of pre-operative HTN and its risk factors among patients who were admitted for surgical procedures at a tertiary health care facility of Durgapur, West Bengal, India. Materials and Methods: After obtaining permission from the Institutional Ethics Committee, an institution based, observational, and cross-sectional study was conducted from January 2019 to February 2019. A pre-tested, semi-structured schedule was used to collect Clinic Social data. Anthropometric measurements and BP were taken as per the world health organization STEP-wise approach to surveillance guidelines. BP was classified as per “The eighth joint national committee (JNC-8) guidelines. Results: Data were collected from 150 study subjects and were analyzed using SPSS, version 20.0 for windows. The frequency of pre-operative HTN and pre-HTN was found to be 38.0% and 32.0% respectively. As per JNC-8, 34.7% had Stage-1 HTN followed by 32.0% and 3.3% who had pre-HTN and Stage-2 HTN, respectively. Increasing age, male gender, smoking, increasing body mass index, dyslipidemia, and Type 2 diabetes mellitus (T2DM) were significantly associated with a higher frequency of HTN. Conclusion: There is a very high prevalence of pre-operative HTN and pre-HTN. Increasing age, male gender, smoking, overweight, obesity, dyslipidemia, and T2DM were significant risk factors for HTN. Routine screening of HTN should be done in surgical ward to see if there are cases of “white coat” HTN.

Effect of meteorological elements on the content and composition of Aloysia triphylla (L´Hérit) Britton essential oil / Efecto de los elementos meteorológicos sobre el contenido y la composición del aceite esencial de Aloysia triphylla (L´Hérit) Britton

The concentration and composition of an essential oil can vary according to environmental variations and seasonal periods. The objective of this study was to correlate meteorological elements with the content and concentration of components of Aloysia triphylla essential oil, for the four seasons of the year. The experiment was conducted in a plastic greenhouse of the UFSM, Frederico Westphalen campus ­ RS, Brazil, in a complete randomized blocks design during the four seasons, with three repetitions. The meteorological data were collected with the aid of a compact meteorological station, in order to characterize the environment in which the species was conducted. The evaluations were carried out at the middle date of each season. It was observed a correlation between the meteorological variables with the essential oil production and its components. According to the analysis, there influence of the temperature on the essential oil contents, considering that the maximum temperature shows a direct positive influence on the concentration of limonene and negative for spathulenol.

El contenido y la composición de un aceite esencial pueden variar según las variaciones ambientales y los períodos estacionales. El objetivo de este estudio fue correlacionar los elementos meteorológicos con el contenido y la concentración de los componentes del aceite esencial de Aloysia triphylla, para las cuatro estaciones del año. El experimento se realizó en un invernadero de plástico de la UFSM, campus de Frederico Westphalen - RS, Brasil, en un diseño completo de bloques al azar durante las cuatro estaciones, con tres repeticiones. Los datos meteorológicos se recopilaron con la ayuda de una estación meteorológica compacta, para caracterizar el entorno en el que se realizó la especie. Las evaluaciones se llevaron a cabo en la fecha media de cada temporada. Se observó una correlación entre las variables meteorológicas con la producción de aceites esenciales y sus componentes. De acuerdo con el análisis, existe una influencia de la temperatura en los contenidos de aceites esenciales, considerando que la temperatura máxima muestra una influencia positiva directa sobre la concentración de limoneno y negativa para el espatulenol.

Unmet need for family planning of married women in rural areas of Kalaburagi: an application of multiple logistic regression model

Background: Unmet need for family planning, which refers to the condition in which there is the desire to avoid or post-pone child bearing, without the use of any means of contraception, has been a core concept in the field of international population. This study aimed to determine the factors affecting for unmet need for family planning among married women in the age group of 15-49 years of rural areas of Kalaburagi. By multiple logistic regression model and stepwise forward logistic regression model to estimate the parameters of the model, odds ratios and log likelihood values are computed. Testing of hypothesis of goodness of fit of the model is carried out by Hosmer and Lemeshow test.Methods: 600 married women in the age group of 15-49 years were the study participants who were selected randomly from the 7 taluks of rural areas by using multistage sampling techniques.Results: Total of 26 explanatory variables are included in the model, in which only 5 explanatory variables (19.00%) are found to be significant regression coefficients i.e., education of married women, abortion, physical deformities baby, ideal gap between children, contraceptive used in past normal level of significance (p<0.05).Conclusions: The test statistic of all five models, only model 4 and model 5 fit well with response variable for the rural sample data.

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.

Research on correlation among "four natures" drug properties, penetration enhancement abilities and chemical components of essential oils from pungent Chinese herbs based on stepwise discrimination analysis method / 中草药

Objective: To investigate the correlation among the "four natures" drug properties, the abilities of penetration enhancement and chemical components of the essential oils (EOs) from pungent Chinese herbs. Methods: A total of 20 kinds of EOs with different "four natures" drug properties were selected for pair comparison. EOs were extracted by steam distillation and analyzed by GC-MS, the skin resistance kinetic technology was used to investigate the abilities of penetration enhancement. Based on the research results, the factors were selected by stepwise discrimination analysis method and variance analysis method and the prediction model was established. Results: The order of the abilities of penetration enhancement of EOs was: hot > warm > cold and cool. The higher the content of sesquiterpenoids was, the warmer the property tended to be. On the contrary, it did not contain sesquiterpenes, or its content was low, and its property tended to be cold and cool, and the abilities of penetration enhancement were weak. Conclusion: There was a correlation among the "four natures" drug properties, the abilities of penetration enhancement and chemical components of EOs from pungent Chinese herbs. And the sesquiterpenoids from EOs may be the most correlated chemical components with the "four natures" drug properties and the abilities of penetration enhancement.

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.

Risk Factors in Chronic Diseases ­ Control with an Active Epidemiological Surveillance System: one step further with the STEPwise model / Factores de riesgo en enfermedades crónicas. Control con un sistema activo de vigilancia epidemiológica: un paso más allá con el modelo STEPwise / Fatores de risco em doenças Crônicas. Controle com um Sistema de Vigilância Epidemiológica Ativa: Um passo adiante com o modelo STEPwise

It has long been known that chronic diseases are often the result of pro-longed exposure to certain environmental, lifestyle or socio-economic fac-tors. It is also recognized that chronic diseases can be prevented, detected and controlled; but the reality is that the disease profile in a developing country like Colombia demonstrates a large burden of chronic diseases, reflected in most of its communities. This problem is also the result of an erroneous public health approach, focusing on medical treatment for the later stages of the disease, living prevention to a secondary role.At the individual level, a health system like Colombian's framework do not perform enough work and efforts for early detection and rapid actions to address modifiable risk factors. Individual and population-based measures against chronic disease risk factors are carried out sporadically for some people, but not as a preventive public policy.Therefore, complimenting the need for activities on the determinants of popu-lation health, the purpose of this proposal is directed to the management and control of these deficiencies through the implementation of an active survei-llance system. Using the World Health Organization step-by-step model as the conceptual framework, this specific surveillance system is established as a new strategy through which health data at the community level can be analyzed, expanded, and integrated into existing general public health surveillance and the infrastructure of the Colombian's health programs. As a result, this document intends to lay out the foundations for these new strategic tools to inform suitable planning with the adaptation of interventions; aiming at achieving optimal early detection and rapid intervention of risk factors. Closing these gaps should be another step towards reaching a preventive approach to address the enormous burden of chronic diseases for the Colombian population.

Desde buen tiempo atrás, se es conocido que las enfermedades crónicas suelen ser consecuencia de una exposición prolonga-da a ciertos factores ambientales, de estilo de vida o socioeco-nómicos. Igualmente se reconoce que las enfermedades cró-nicas pueden prevenirse, detectarse y controlarse, la realidad es que el perfil de la enfermedad en Colombia demuestra una gran carga de enfermedades crónicas reflejadas en la mayoría de sus comunidades. Este problema es también el resultado de un enfoque de salud pública erróneo, centrado en el tratamien-to médico para las últimas etapas de la enfermedad, dejando la prevención a un papel secundario.A nivel individual, los marcos del sistema de salud colombiano no realizan el trabajo y los esfuerzos suficientes para la detec-ción temprana y las acciones rápidas para abordar los factores de riesgo modificables. Los medidas individuales y poblaciona-les contra factores de riesgo de enfermedades crónicas, en rea-lidad, se llevan a cabo esporádicamente para algunas personas, pero no como una política pública preventiva. Por lo tanto, complementando la necesidad de actividades sobre los determinantes de la salud poblacional, el propósito de esta propuesta está dirigido al manejo y control de estas deficiencias mediante la implementación de un sistema de vigilancia activa. Teniendo el modelo paso a paso de la Organización Mundial de la Salud como marco conceptual, este sistema de vigilancia espe-cífico se establece como una nueva estrategia mediante la cual los datos de salud a nivel comunitario pueden analizarse, ampliarse e integrarse en la vigilancia de salud pública general existente y la infraestructura del programa de salud colombiano. Como resul-tado, este documento tiene la intención de establecer los funda-mentos de estas nuevas herramientas estratégicas para informar la planificación territorial con la adaptación de las intervenciones, con el objetivo de lograr una detección temprana óptima y una rápida intervención de los factores de riesgo. Cerrar estas brechas debe ser otro paso hacia el logro de un enfoque preventivo como abordaje de la enorme carga de enfermedades crónicas para la población colombiana.

Há muito tempo sabe-se que as doenças crônicas são geral-mente o resultado de uma exposição prolongada a certos fato-res ambientais, de estilo de vida ou socioeconômicos. Também se reconhece que as doenças crônicas podem ser prevenidas, detectadas e controladas, porém o perfil de doenças na Co-lômbia monstra uma grande carga de doenças crônicas refle-tida na maioria das comunidades. Esse fato reflete uma abor-dagem errada da saúde pública, focada no tratamento médico para as fases posteriores da doença, ficando a prevenção em um papel secundário.No nível individual, as estruturas do sistema de saúde colom-biano não fazem esforço suficiente para detectar precocemen-te as doenças e agir rápidamente para lidar com os fatores de risco modificáveis. Medidas individuais e populacionais contra fatores de risco para doenças crônicas são esporádica e par-cialmente realizadas, mas não maciçamente como política pú-blica preventiva. Portanto, complementando a necessidade de atividades so-bre os determinantes da saúde da população, o objetivo des-ta proposta é direcionar ao gerenciamento e controle dessas deficiências por meio da implementação de um sistema de vigilância ativo. O modelo de Passo a passo, proposto pela Organização Mundial da Saúde foi aplicado, trata-se de um sistema de vigilância específico, estabelecido como uma nova estratégia pela qual os dados de saúde no nível da comunida-de podem ser analisados, ampliados e integrados à vigilância da saúde pública geral e infraestrutura existentes do programa de saúde colombiano. Este documento pretende estabelecer novas ferramentas estratégicas para informar o planejamen-to territorial adaptando intervenções para conseguir detectar precocemente o fator de risco e interví-lo rápidamente. Pre-encher essas lacunas contribui para uma abordagem preven-tiva para enfrentar o enorme fardo de doenças crônicas da população colombiana