[Objectives]This study was conducted to screen high-yield and high-quality strains suitable for promotion and cultivation in Shandong Province in winter and spring,and provide production enterprises with better produc...[Objectives]This study was conducted to screen high-yield and high-quality strains suitable for promotion and cultivation in Shandong Province in winter and spring,and provide production enterprises with better production strains.[Methods]The clinker bag cultivation method was used to compare the cultivated products of 30 Pleurotus spp.strains,and the data on mycelial growth rate,growth morphology,biological characteristics of fruit bodies and yield were collected for comparison.[Results]Compared with other strains,such four strains as Pinggu 8633,Gaochan 8105,Tekang 650 and Ping 8129 had significantly higher adaptability,higher yield and better marketability.[Conclusions]Pinggu 8633,Gaochan 8105,Tekang 650 and Ping 8129 can be used as the main varieties for winter and spring oyster mushrooms production in Shandong Province.展开更多
A model comparison based software testing method (MCST) is proposed. In this method, the requirements aria programs or software under test are transformed into the ones in the same form, and described by the same mo...A model comparison based software testing method (MCST) is proposed. In this method, the requirements aria programs or software under test are transformed into the ones in the same form, and described by the same model describe language (MDL). Then, the requirements are transformed into a specification model and the programs into an implementation model. Thus, the elements and structures of the two models are compared, and the differences between them are obtained. Based on the diffrences, a test suite is generated. Different MDLs can be chosen for the software under test. The usages of two classical MDLs in MCST, the equivalence classes model and the extended finite state machine (EFSM) model, are described with example applications. The results show that the test suites generated by MCST are more efficient and smaller than some other testing methods, such as the pathcoverage testing method, the object state diagram testing method, etc.展开更多
We apply the Colour Family Drawing Test, as a development of the traditional black and white test, for cross-cultural comparison. The participants, aged 7 - 10 years, both genders, were examined individually. Each sub...We apply the Colour Family Drawing Test, as a development of the traditional black and white test, for cross-cultural comparison. The participants, aged 7 - 10 years, both genders, were examined individually. Each subject sat at a single table with a white rectangular card of standard size, 24 well-sharpened colour pencils, a black pencil, an eraser and other appropriate tools. S/he received this verbal instruction: “Draw your family”. The procedure was firstly applied to 120 participants attending primary schools of Rome (Biasi, Bonaiuto and Levin, 2014). The families were evaluated through a semi-structural interview conducted with the children’s teachers and divided into: Harmonious versus Very Conflictual Families. The drawings made by children of Harmonious Families consistently used “Reassuring and Playful Colours” (Pink, Orange, Sky Blue, Light Green, Light Yellow, other pastel colours);and were larger, tidier and more proportioned to respect the opposite group. Children belonging to Conflictual Families used mostly “Alarming and Serious Colours” (Grey, Black, Dark Bleu, Violet, Olive Green) and their drawings were less extended, more often disordered and had typical deformations such as figures too thin. A second investigation examined 120 participants belonging to Asian immigrant families residing in Italy. A third investigation examined 120 participants belonging to Russian families of Moscow. Both last two investigations obtained very similar results on the use of colours, and gave a confirmation of the relevance of the Colour Family Drawing Test.展开更多
[Objectives]This study was conducted to rationally and effectively use natural genetic resources of white birch(Betula platyphylla Suk.),and improve the scientific and technological content of improved varieties.[Meth...[Objectives]This study was conducted to rationally and effectively use natural genetic resources of white birch(Betula platyphylla Suk.),and improve the scientific and technological content of improved varieties.[Methods]With the progeny of the white birch populations naturally distributed in northern China as objects,based on genetic effect analysis and comprehensive evaluation,the genetic variation,heritability and genetic gain of the growth characters in the progeny forest were systematically analyzed,by which populations or individuals with good growth vigor and strong stress resistance and adaptability were finally selected.[Results]There were extremely significant differences in the growth characters between the natural populations of white birch in northern China.The variation was the smallest in tree height,followed by crown width,and largest in DBH,and the average coefficients of variation were 20.56%,32.25%and 33.00%,respectively.The differences in characters between progeny of the same population were also extremely significant.The growth characters of white birch were more controlled by genes,and the genetic gains were larger.The heritability of tree height,DBH and crown width was 0.971,0.816 and 0.576,respectively,and the genetic gains were 15.97%,21.54%and 13.87%,respectively.[Conclusions]With the growth characters as the main evaluation indexes,taking various influencing factors into account,the Shanxi[SX]population,Hebei[HB]population and Liaoning[LN]population were selected to be excellent populations,and LN305,SX516 and HB403 were excellent individuals,which are advised to be widely used in multi-generation genetic improvement breeding.展开更多
To compare the diagnostic value of four signs for superior labrum anterior and posterior (SLAP) lesions of the shoulder.Methods The physical examination was performed randomly on 81 cases with abnormalities of the sho...To compare the diagnostic value of four signs for superior labrum anterior and posterior (SLAP) lesions of the shoulder.Methods The physical examination was performed randomly on 81 cases with abnormalities of the shoulder.There were four tests,including Kibler anterior sliding test,Liu crank test,O’Brien active compression test and Kim biceps load test Ⅱ.The arthroscopic examination were also performed.The result of the arthroscopic examination was considered as a golden standard,so that we could estimate the diagnosis value of the four tests according to the method of evaluation of diagnosis test on clinical epidemiology,their sensitivity,specificity,positive and negative predictive value,accuracy.Results There were 21 cases diagnosed as SLAP lesions by arthroscopy.The diagnosis value of Kim biceps load test Ⅱ was the highest among the four tests,in which 19 of true positive,59 of true negative,1 of false positive,only 2 of false negative cases;while the sensitivity was 90.48%,specificity was 98.33%,positive predictive value was 95.00%,negative predictive value was 96.72%,and accuracy was 96.30%.However the sensitivity,specificity,positive predicitive value,negative predictive vale and accuracy of Kibler anterior sliding test were 76.19%,96.67%,88.89%,92.06%,91.33%;and those of Liu crank test were 85.71%,93.33%,81.82%,94.92%,91.35%;those of O’Brien active compression test were 80.95%,91.66%,77.27%,93.22%,88.89%.Conclusion Kim Biceps load test Ⅱ may be the best for clinical diagnosis of SLAP lesions of the shoulder.9 refs,4 figs,2 tabs.展开更多
As a nonparametric method,the Kruskal-Wallis test is widely used to compare three or more independent groups when an ordinal or interval level of data is available,especially when the assump-tions of analysis of varia...As a nonparametric method,the Kruskal-Wallis test is widely used to compare three or more independent groups when an ordinal or interval level of data is available,especially when the assump-tions of analysis of variance (ANOVA) are not met.If the Kruskal-Wallis statistic is statistically signifi-cant,Nemenyi test is an alternative method for further pairwise multiple comparisons to locate the source of significance.Unfortunately,most popular statistical packages do not integrate the Nemenyi test,which is not easy to be calculated by hand.We described the theory and applications of the Kruskal-Wallis and Nemenyi tests,and presented a flexible SAS macro to implement the two tests.The SAS macro was demonstrated by two examples from our cohort study in occupational epidemiology.It provides a useful tool for SAS users to test the differences among three or more independent groups using a nonparametric method.展开更多
As the appearance of local dimming technique, the current existing test methods are not suitable for testing the power consumption of the LCD TVs using the local dimming technique any longer. A test method appropriate...As the appearance of local dimming technique, the current existing test methods are not suitable for testing the power consumption of the LCD TVs using the local dimming technique any longer. A test method appropriate to LED backlight LCD TVs using the local dimming technique is proposed in this paper, and then the test software is developed. The results demonstrate that the test software developed can show the real average power consumption of the LCD using local dimming technique, and by normalization the power consumption become comparable for not only local dimming LCD TVs but global dimming LCD TVs. Using the software developed in this paper, the ratio of power saving is clear when an LCD TV using the local dimming technique compared with one without local dimming technique.展开更多
Introduction: The present work compared the prediction power of the different data mining techniques used to develop the HIV testing prediction model. Four popular data mining algorithms (Decision tree, Naive Bayes, N...Introduction: The present work compared the prediction power of the different data mining techniques used to develop the HIV testing prediction model. Four popular data mining algorithms (Decision tree, Naive Bayes, Neural network, logistic regression) were used to build the model that predicts whether an individual was being tested for HIV among adults in Ethiopia using EDHS 2011. The final experimentation results indicated that the decision tree (random tree algorithm) performed the best with accuracy of 96%, the decision tree induction method (J48) came out to be the second best with a classification accuracy of 79%, followed by neural network (78%). Logistic regression has also achieved the least classification accuracy of 74%. Objectives: The objective of this study is to compare the prediction power of the different data mining techniques used to develop the HIV testing prediction model. Methods: Cross-Industry Standard Process for Data Mining (CRISP-DM) was used to predict the model for HIV testing and explore association rules between HIV testing and the selected attributes. Data preprocessing was performed and missing values for the categorical variable were replaced by the modal value of the variable. Different data mining techniques were used to build the predictive model. Results: The target dataset contained 30,625 study participants. Out of which 16,515 (54%) participants were women while the rest 14,110 (46%) were men. The age of the participants in the dataset ranged from 15 to 59 years old with modal age of 15 - 19 years old. Among the study participants, 17,719 (58%) have never been tested for HIV while the rest 12,906 (42%) had been tested. Residence, educational level, wealth index, HIV related stigma, knowledge related to HIV, region, age group, risky sexual behaviour attributes, knowledge about where to test for HIV and knowledge on family planning through mass media were found to be predictors for HIV testing. Conclusion and Recommendation: The results obtained from this research reveal that data mining is crucial in extracting relevant information for the effective utilization of HIV testing services which has clinical, community and public health importance at all levels. It is vital to apply different data mining techniques for the same settings and compare the model performances (based on accuracy, sensitivity, and specificity) with each other. Furthermore, this study would also invite interested researchers to explore more on the application of data mining techniques in healthcare industry or else in related and similar settings for the future.展开更多
基金Supported by Agricultural Science and Technology Innovation Project of Shandong Academy of Agricultural Sciences(CXGC2021A33)Key R&D Project of Shandong Province(2018GNC110012)The Modern Agricultural Industry Technology System(CARS-20).
文摘[Objectives]This study was conducted to screen high-yield and high-quality strains suitable for promotion and cultivation in Shandong Province in winter and spring,and provide production enterprises with better production strains.[Methods]The clinker bag cultivation method was used to compare the cultivated products of 30 Pleurotus spp.strains,and the data on mycelial growth rate,growth morphology,biological characteristics of fruit bodies and yield were collected for comparison.[Results]Compared with other strains,such four strains as Pinggu 8633,Gaochan 8105,Tekang 650 and Ping 8129 had significantly higher adaptability,higher yield and better marketability.[Conclusions]Pinggu 8633,Gaochan 8105,Tekang 650 and Ping 8129 can be used as the main varieties for winter and spring oyster mushrooms production in Shandong Province.
基金The National Natural Science Foundationof Hubei Province (No.2005ABA266)
文摘A model comparison based software testing method (MCST) is proposed. In this method, the requirements aria programs or software under test are transformed into the ones in the same form, and described by the same model describe language (MDL). Then, the requirements are transformed into a specification model and the programs into an implementation model. Thus, the elements and structures of the two models are compared, and the differences between them are obtained. Based on the diffrences, a test suite is generated. Different MDLs can be chosen for the software under test. The usages of two classical MDLs in MCST, the equivalence classes model and the extended finite state machine (EFSM) model, are described with example applications. The results show that the test suites generated by MCST are more efficient and smaller than some other testing methods, such as the pathcoverage testing method, the object state diagram testing method, etc.
文摘We apply the Colour Family Drawing Test, as a development of the traditional black and white test, for cross-cultural comparison. The participants, aged 7 - 10 years, both genders, were examined individually. Each subject sat at a single table with a white rectangular card of standard size, 24 well-sharpened colour pencils, a black pencil, an eraser and other appropriate tools. S/he received this verbal instruction: “Draw your family”. The procedure was firstly applied to 120 participants attending primary schools of Rome (Biasi, Bonaiuto and Levin, 2014). The families were evaluated through a semi-structural interview conducted with the children’s teachers and divided into: Harmonious versus Very Conflictual Families. The drawings made by children of Harmonious Families consistently used “Reassuring and Playful Colours” (Pink, Orange, Sky Blue, Light Green, Light Yellow, other pastel colours);and were larger, tidier and more proportioned to respect the opposite group. Children belonging to Conflictual Families used mostly “Alarming and Serious Colours” (Grey, Black, Dark Bleu, Violet, Olive Green) and their drawings were less extended, more often disordered and had typical deformations such as figures too thin. A second investigation examined 120 participants belonging to Asian immigrant families residing in Italy. A third investigation examined 120 participants belonging to Russian families of Moscow. Both last two investigations obtained very similar results on the use of colours, and gave a confirmation of the relevance of the Colour Family Drawing Test.
基金Supported by Heilongjiang Provincial Science and Technology Department Project(GC04B116)National Forest Tree Germplasm Resource Platform Running Service Project(2011DKA21003-02)National Forestry Public Welfare Industry Research Project(201204307-07)
文摘[Objectives]This study was conducted to rationally and effectively use natural genetic resources of white birch(Betula platyphylla Suk.),and improve the scientific and technological content of improved varieties.[Methods]With the progeny of the white birch populations naturally distributed in northern China as objects,based on genetic effect analysis and comprehensive evaluation,the genetic variation,heritability and genetic gain of the growth characters in the progeny forest were systematically analyzed,by which populations or individuals with good growth vigor and strong stress resistance and adaptability were finally selected.[Results]There were extremely significant differences in the growth characters between the natural populations of white birch in northern China.The variation was the smallest in tree height,followed by crown width,and largest in DBH,and the average coefficients of variation were 20.56%,32.25%and 33.00%,respectively.The differences in characters between progeny of the same population were also extremely significant.The growth characters of white birch were more controlled by genes,and the genetic gains were larger.The heritability of tree height,DBH and crown width was 0.971,0.816 and 0.576,respectively,and the genetic gains were 15.97%,21.54%and 13.87%,respectively.[Conclusions]With the growth characters as the main evaluation indexes,taking various influencing factors into account,the Shanxi[SX]population,Hebei[HB]population and Liaoning[LN]population were selected to be excellent populations,and LN305,SX516 and HB403 were excellent individuals,which are advised to be widely used in multi-generation genetic improvement breeding.
文摘To compare the diagnostic value of four signs for superior labrum anterior and posterior (SLAP) lesions of the shoulder.Methods The physical examination was performed randomly on 81 cases with abnormalities of the shoulder.There were four tests,including Kibler anterior sliding test,Liu crank test,O’Brien active compression test and Kim biceps load test Ⅱ.The arthroscopic examination were also performed.The result of the arthroscopic examination was considered as a golden standard,so that we could estimate the diagnosis value of the four tests according to the method of evaluation of diagnosis test on clinical epidemiology,their sensitivity,specificity,positive and negative predictive value,accuracy.Results There were 21 cases diagnosed as SLAP lesions by arthroscopy.The diagnosis value of Kim biceps load test Ⅱ was the highest among the four tests,in which 19 of true positive,59 of true negative,1 of false positive,only 2 of false negative cases;while the sensitivity was 90.48%,specificity was 98.33%,positive predictive value was 95.00%,negative predictive value was 96.72%,and accuracy was 96.30%.However the sensitivity,specificity,positive predicitive value,negative predictive vale and accuracy of Kibler anterior sliding test were 76.19%,96.67%,88.89%,92.06%,91.33%;and those of Liu crank test were 85.71%,93.33%,81.82%,94.92%,91.35%;those of O’Brien active compression test were 80.95%,91.66%,77.27%,93.22%,88.89%.Conclusion Kim Biceps load test Ⅱ may be the best for clinical diagnosis of SLAP lesions of the shoulder.9 refs,4 figs,2 tabs.
基金supported by a grant from the National Basic Research Program of China (No. 2011CB503804)
文摘As a nonparametric method,the Kruskal-Wallis test is widely used to compare three or more independent groups when an ordinal or interval level of data is available,especially when the assump-tions of analysis of variance (ANOVA) are not met.If the Kruskal-Wallis statistic is statistically signifi-cant,Nemenyi test is an alternative method for further pairwise multiple comparisons to locate the source of significance.Unfortunately,most popular statistical packages do not integrate the Nemenyi test,which is not easy to be calculated by hand.We described the theory and applications of the Kruskal-Wallis and Nemenyi tests,and presented a flexible SAS macro to implement the two tests.The SAS macro was demonstrated by two examples from our cohort study in occupational epidemiology.It provides a useful tool for SAS users to test the differences among three or more independent groups using a nonparametric method.
基金Project supported by the National Natural Science Foundation of China(Grant No.60871030)the Shanghai Leading Academic Discipline Project(Grant No.S30108)
文摘As the appearance of local dimming technique, the current existing test methods are not suitable for testing the power consumption of the LCD TVs using the local dimming technique any longer. A test method appropriate to LED backlight LCD TVs using the local dimming technique is proposed in this paper, and then the test software is developed. The results demonstrate that the test software developed can show the real average power consumption of the LCD using local dimming technique, and by normalization the power consumption become comparable for not only local dimming LCD TVs but global dimming LCD TVs. Using the software developed in this paper, the ratio of power saving is clear when an LCD TV using the local dimming technique compared with one without local dimming technique.
文摘Introduction: The present work compared the prediction power of the different data mining techniques used to develop the HIV testing prediction model. Four popular data mining algorithms (Decision tree, Naive Bayes, Neural network, logistic regression) were used to build the model that predicts whether an individual was being tested for HIV among adults in Ethiopia using EDHS 2011. The final experimentation results indicated that the decision tree (random tree algorithm) performed the best with accuracy of 96%, the decision tree induction method (J48) came out to be the second best with a classification accuracy of 79%, followed by neural network (78%). Logistic regression has also achieved the least classification accuracy of 74%. Objectives: The objective of this study is to compare the prediction power of the different data mining techniques used to develop the HIV testing prediction model. Methods: Cross-Industry Standard Process for Data Mining (CRISP-DM) was used to predict the model for HIV testing and explore association rules between HIV testing and the selected attributes. Data preprocessing was performed and missing values for the categorical variable were replaced by the modal value of the variable. Different data mining techniques were used to build the predictive model. Results: The target dataset contained 30,625 study participants. Out of which 16,515 (54%) participants were women while the rest 14,110 (46%) were men. The age of the participants in the dataset ranged from 15 to 59 years old with modal age of 15 - 19 years old. Among the study participants, 17,719 (58%) have never been tested for HIV while the rest 12,906 (42%) had been tested. Residence, educational level, wealth index, HIV related stigma, knowledge related to HIV, region, age group, risky sexual behaviour attributes, knowledge about where to test for HIV and knowledge on family planning through mass media were found to be predictors for HIV testing. Conclusion and Recommendation: The results obtained from this research reveal that data mining is crucial in extracting relevant information for the effective utilization of HIV testing services which has clinical, community and public health importance at all levels. It is vital to apply different data mining techniques for the same settings and compare the model performances (based on accuracy, sensitivity, and specificity) with each other. Furthermore, this study would also invite interested researchers to explore more on the application of data mining techniques in healthcare industry or else in related and similar settings for the future.