Theα-universal triple I(α-UTI)method is a recognized scheme in the field of fuzzy reasoning,whichwas proposed by our research group previously.The robustness of fuzzy reasoning determines the quality of reasoning al...Theα-universal triple I(α-UTI)method is a recognized scheme in the field of fuzzy reasoning,whichwas proposed by our research group previously.The robustness of fuzzy reasoning determines the quality of reasoning algorithms to a large extent,which is quantified by calculating the disparity between the output of fuzzy reasoning with interference and the output without interference.Therefore,in this study,the interval robustness(embodied as the interval stability)of theα-UTI method is explored in the interval-valued fuzzy environment.To begin with,the stability of theα-UTI method is explored for the case of an individual rule,and the upper and lower bounds of its results are estimated,using four kinds of unified interval implications(including the R-interval implication,the S-interval implication,the QL-interval implication and the interval t-norm implication).Through analysis,it is found that theα-UTI method exhibits good interval stability for an individual rule.Moreover,the stability of theα-UTI method is revealed in the case of multiple rules,and the upper and lower bounds of its outcomes are estimated.The results show that theα-UTI method is stable for multiple rules when four kinds of unified interval implications are used,respectively.Lastly,theα-UTI reasoning chain method is presented,which contains a chain structure with multiple layers.The corresponding solutions and their interval perturbations are investigated.It is found that theα-UTI reasoning chain method is stable in the case of chain reasoning.Two application examples in affective computing are given to verify the stability of theα-UTImethod.In summary,through theoretical proof and example verification,it is found that theα-UTImethod has good interval robustness with four kinds of unified interval implications aiming at the situations of an individual rule,multi-rule and reasoning chain.展开更多
From the viewpoints of both fuzzy system and fuzzy reasoning, a new fuzzy reasoning method which contains the α- triple I restriction method as its particular case is proposed. The previous α-triple I restriction pr...From the viewpoints of both fuzzy system and fuzzy reasoning, a new fuzzy reasoning method which contains the α- triple I restriction method as its particular case is proposed. The previous α-triple I restriction principles are improved, and then the optimal restriction solutions of this new method are achieved, especially for seven familiar implications. As its special case, the corresponding results of α-triple I restriction method are obtained and improved. Lastly, it is found by examples that this new method is more reasonable than the α-triple I restriction method.展开更多
The aims of this paper are.- (i) to show that the CRI method should be improved and remould into the triple I method, (ii) to propose a new type of fuzzy reasoning with multiple rules of which the premise of each rule...The aims of this paper are.- (i) to show that the CRI method should be improved and remould into the triple I method, (ii) to propose a new type of fuzzy reasoning with multiple rules of which the premise of each rule is an interval valued fuzzy subset, (iii) to establish the 'fire one or leave (FOOL)' principle as pretreatment for solving the fuzzy reasoning problem mentioned in (ii), and (iv) to solve the problem mentioned in (ii).展开更多
<i>Entamoeba histolytica</i> is an anaerobic parasitic protozoan and well known as a human pathogen, while its close relative, <i>Entamoeba dispar</i>, also possesses similar characteristics as...<i>Entamoeba histolytica</i> is an anaerobic parasitic protozoan and well known as a human pathogen, while its close relative, <i>Entamoeba dispar</i>, also possesses similar characteristics as an infectious agent. These microorganisms are generally transmitted in fecal-contaminated water. However, <i>E. dispar</i> present in industrial wastewater is also capable of creating biofilms that can cause adverse impacts in piping networks. Therefore, it is important to detect both of these protozoan species in water and to find a cost-effective technique for inactivation or management control. This review article summarizes the available detection methods in water and wastewater matrices along with feasible disinfection techniques.展开更多
Mortality projections in a population are based on the prior analysis of mortality in a region, hoever, there are populations where data are not available or not reflect its real mortality level, that is, the projecti...Mortality projections in a population are based on the prior analysis of mortality in a region, hoever, there are populations where data are not available or not reflect its real mortality level, that is, the projections depend on hypothesis strength of previous data. Based on these assumptions, the mathematical method Genova I Maleras 1997 used the most recent data and the model tables from the United Nations (UN). This method was applied to a mortality survey of the population of Hidalgo State, Mexico, projecting to year 2030. This method has not been applied in Mexico.展开更多
A new photoelastic method of obtaining mode I stress intensity factor(SIF) is presented. The method considers the influence of far field stress, σ ox , on the value of SIF. The only information needed for ...A new photoelastic method of obtaining mode I stress intensity factor(SIF) is presented. The method considers the influence of far field stress, σ ox , on the value of SIF. The only information needed for K Ⅰ calculation is the area between isochromatic fringe loops. The method is examined by two kinds of specimen in different load cases.Experimental results show that it is quite simple and of high precision.展开更多
The aim of this paper is to discuss the Triple Ⅰ restriction reasoning methods for fuzzy soft sets. Triple Ⅰ restriction principles for fuzzy soft modus ponens(FSMP) and fuzzy soft modus tollens(FSMT) are proposed, ...The aim of this paper is to discuss the Triple Ⅰ restriction reasoning methods for fuzzy soft sets. Triple Ⅰ restriction principles for fuzzy soft modus ponens(FSMP) and fuzzy soft modus tollens(FSMT) are proposed, and then, the general expressions of the Triple Ⅰ restriction reasoning method for FSMP and FSMT with respect to residual pairs are presented respectively. Finally, the optimal restriction solutions for Lukasiewicz and Godel implication operators are examined.展开更多
The primary goal of a phase I clinical trial is to find the maximum tolerable dose of a treatment. In this paper, we propose a new stepwise method based on confidence bound and information incorporation to determine t...The primary goal of a phase I clinical trial is to find the maximum tolerable dose of a treatment. In this paper, we propose a new stepwise method based on confidence bound and information incorporation to determine the maximum tolerable dose among given dose levels. On the one hand, in order to avoid severe even fatal toxicity to occur and reduce the experimental subjects, the new method is executed from the lowest dose level, and then goes on in a stepwise fashion. On the other hand, in order to improve the accuracy of the recommendation, the final recommendation of the maximum tolerable dose is accomplished through the information incorporation of an additional experimental cohort at the same dose level. Furthermore, empirical simulation results show that the new method has some real advantages in comparison with the modified continual reassessment method.展开更多
A型牛轮状病毒(BRV-A)是引起牛腹泻的重要病原之一,对养牛业危害最大。为建立一种针对BRV-A的快速、高通量、低成本检测方法,根据BRV-A的VP6基因保守区设计特异性引物,建立了检测BRV-A的SYBR Green I RT-qPCR方法。该方法对浓度梯度为4....A型牛轮状病毒(BRV-A)是引起牛腹泻的重要病原之一,对养牛业危害最大。为建立一种针对BRV-A的快速、高通量、低成本检测方法,根据BRV-A的VP6基因保守区设计特异性引物,建立了检测BRV-A的SYBR Green I RT-qPCR方法。该方法对浓度梯度为4.41×10^(8)~4.41×10^(2) copies/μL质粒标准品的扩增Ct值与拷贝数浓度呈良好的线性关系,熔解曲线为单峰;与其他引起牛腹泻的常见病原无交叉反应,最低检测限为4.41×10^(1) copies/μL,批内、批间重复性试验Ct值变异系数均低于1%;对临床粪便样品的阳性检出率高于地方标准中的PCR方法,且检测结果符合性较好。综上,本研究建立的BRV-A SYBR Green I RT-qPCR检测方法灵敏、特异、稳定,且操作简单、成本低,为临床样品的大规模BRV-A检测及其感染的早期诊断提供了技术支撑。展开更多
A rapid, accurate, and precise chiral Ultra fast liquid chromatography (UFLC) method was developed and validated for enantiomeric separation of racemic vildagliptin and <i>S</i>-vildagliptin according to t...A rapid, accurate, and precise chiral Ultra fast liquid chromatography (UFLC) method was developed and validated for enantiomeric separation of racemic vildagliptin and <i>S</i>-vildagliptin according to the guidelines of the International Conference on Harmonization (ICH). The chiral chromatographic separation was achieved with a mobile phase consisting of 20 mM borax buffer (pH 9.0 ± 0.05), ACN, and 0.1% Triethylamine (50:50:0.1, v/v/v) at a flow rate of 1 ml/min using a chiralcel OD-RH column, tris(3,5-dimethyl phenyl carbamate) (250 mm × 4.6 mm, 5 μm) column. The UFLC analysis was monitored at 210 nm. The method showed good linearity with a regression coefficient (r<sup>2</sup>) of 0.999 in the range of 1 - 12 μg/ml for <i>S</i>-vilda. The detection limit (LOD), quantitation limit (LOQ), and the average percentage recovery for <i>S</i>-vilda were found to be 0.024, 0.075 μg/mL, and 99.19% to 100.4%, respectively. The percentages of relative standard deviation (% RSD) for intra- and inter-day precision were found to be 0.346% and 0.364%, respectively. The developed method proved to be reproducible as % RSD was <2% and it had robustness within the acceptable limit. The percentage purity of pharmaceutical preparations of <i>S</i>-vilda was found to be 99.19 w/w. The proposed chiral method can be put in application for the enantiomeric purity determination of <i>S</i>-vilda formulations.展开更多
基金the National Natural Science Foundation of China under Grants 62176083,62176084,61877016,and 61976078the Key Research and Development Program of Anhui Province under Grant 202004d07020004the Natural Science Foundation of Anhui Province under Grant 2108085MF203.
文摘Theα-universal triple I(α-UTI)method is a recognized scheme in the field of fuzzy reasoning,whichwas proposed by our research group previously.The robustness of fuzzy reasoning determines the quality of reasoning algorithms to a large extent,which is quantified by calculating the disparity between the output of fuzzy reasoning with interference and the output without interference.Therefore,in this study,the interval robustness(embodied as the interval stability)of theα-UTI method is explored in the interval-valued fuzzy environment.To begin with,the stability of theα-UTI method is explored for the case of an individual rule,and the upper and lower bounds of its results are estimated,using four kinds of unified interval implications(including the R-interval implication,the S-interval implication,the QL-interval implication and the interval t-norm implication).Through analysis,it is found that theα-UTI method exhibits good interval stability for an individual rule.Moreover,the stability of theα-UTI method is revealed in the case of multiple rules,and the upper and lower bounds of its outcomes are estimated.The results show that theα-UTI method is stable for multiple rules when four kinds of unified interval implications are used,respectively.Lastly,theα-UTI reasoning chain method is presented,which contains a chain structure with multiple layers.The corresponding solutions and their interval perturbations are investigated.It is found that theα-UTI reasoning chain method is stable in the case of chain reasoning.Two application examples in affective computing are given to verify the stability of theα-UTImethod.In summary,through theoretical proof and example verification,it is found that theα-UTImethod has good interval robustness with four kinds of unified interval implications aiming at the situations of an individual rule,multi-rule and reasoning chain.
基金supported by the National Natural Science Foundation of China (61105076 61070124)+2 种基金the National High Technology Research and Development Program of China (863 Program) (2012AA011103)the Open Project of State Key Laboratory of Virtual Reality Technology and Systems of China (BUAA-VR-10KF-5)the Fundamental Research Funds for the Central Universities (2011HGZY0004)
文摘From the viewpoints of both fuzzy system and fuzzy reasoning, a new fuzzy reasoning method which contains the α- triple I restriction method as its particular case is proposed. The previous α-triple I restriction principles are improved, and then the optimal restriction solutions of this new method are achieved, especially for seven familiar implications. As its special case, the corresponding results of α-triple I restriction method are obtained and improved. Lastly, it is found by examples that this new method is more reasonable than the α-triple I restriction method.
文摘The aims of this paper are.- (i) to show that the CRI method should be improved and remould into the triple I method, (ii) to propose a new type of fuzzy reasoning with multiple rules of which the premise of each rule is an interval valued fuzzy subset, (iii) to establish the 'fire one or leave (FOOL)' principle as pretreatment for solving the fuzzy reasoning problem mentioned in (ii), and (iv) to solve the problem mentioned in (ii).
文摘<i>Entamoeba histolytica</i> is an anaerobic parasitic protozoan and well known as a human pathogen, while its close relative, <i>Entamoeba dispar</i>, also possesses similar characteristics as an infectious agent. These microorganisms are generally transmitted in fecal-contaminated water. However, <i>E. dispar</i> present in industrial wastewater is also capable of creating biofilms that can cause adverse impacts in piping networks. Therefore, it is important to detect both of these protozoan species in water and to find a cost-effective technique for inactivation or management control. This review article summarizes the available detection methods in water and wastewater matrices along with feasible disinfection techniques.
文摘Mortality projections in a population are based on the prior analysis of mortality in a region, hoever, there are populations where data are not available or not reflect its real mortality level, that is, the projections depend on hypothesis strength of previous data. Based on these assumptions, the mathematical method Genova I Maleras 1997 used the most recent data and the model tables from the United Nations (UN). This method was applied to a mortality survey of the population of Hidalgo State, Mexico, projecting to year 2030. This method has not been applied in Mexico.
文摘A new photoelastic method of obtaining mode I stress intensity factor(SIF) is presented. The method considers the influence of far field stress, σ ox , on the value of SIF. The only information needed for K Ⅰ calculation is the area between isochromatic fringe loops. The method is examined by two kinds of specimen in different load cases.Experimental results show that it is quite simple and of high precision.
基金supported by the National Natural Science Foundation of China(61473239,61372187,61673320)
文摘The aim of this paper is to discuss the Triple Ⅰ restriction reasoning methods for fuzzy soft sets. Triple Ⅰ restriction principles for fuzzy soft modus ponens(FSMP) and fuzzy soft modus tollens(FSMT) are proposed, and then, the general expressions of the Triple Ⅰ restriction reasoning method for FSMP and FSMT with respect to residual pairs are presented respectively. Finally, the optimal restriction solutions for Lukasiewicz and Godel implication operators are examined.
文摘The primary goal of a phase I clinical trial is to find the maximum tolerable dose of a treatment. In this paper, we propose a new stepwise method based on confidence bound and information incorporation to determine the maximum tolerable dose among given dose levels. On the one hand, in order to avoid severe even fatal toxicity to occur and reduce the experimental subjects, the new method is executed from the lowest dose level, and then goes on in a stepwise fashion. On the other hand, in order to improve the accuracy of the recommendation, the final recommendation of the maximum tolerable dose is accomplished through the information incorporation of an additional experimental cohort at the same dose level. Furthermore, empirical simulation results show that the new method has some real advantages in comparison with the modified continual reassessment method.
文摘A型牛轮状病毒(BRV-A)是引起牛腹泻的重要病原之一,对养牛业危害最大。为建立一种针对BRV-A的快速、高通量、低成本检测方法,根据BRV-A的VP6基因保守区设计特异性引物,建立了检测BRV-A的SYBR Green I RT-qPCR方法。该方法对浓度梯度为4.41×10^(8)~4.41×10^(2) copies/μL质粒标准品的扩增Ct值与拷贝数浓度呈良好的线性关系,熔解曲线为单峰;与其他引起牛腹泻的常见病原无交叉反应,最低检测限为4.41×10^(1) copies/μL,批内、批间重复性试验Ct值变异系数均低于1%;对临床粪便样品的阳性检出率高于地方标准中的PCR方法,且检测结果符合性较好。综上,本研究建立的BRV-A SYBR Green I RT-qPCR检测方法灵敏、特异、稳定,且操作简单、成本低,为临床样品的大规模BRV-A检测及其感染的早期诊断提供了技术支撑。
文摘A rapid, accurate, and precise chiral Ultra fast liquid chromatography (UFLC) method was developed and validated for enantiomeric separation of racemic vildagliptin and <i>S</i>-vildagliptin according to the guidelines of the International Conference on Harmonization (ICH). The chiral chromatographic separation was achieved with a mobile phase consisting of 20 mM borax buffer (pH 9.0 ± 0.05), ACN, and 0.1% Triethylamine (50:50:0.1, v/v/v) at a flow rate of 1 ml/min using a chiralcel OD-RH column, tris(3,5-dimethyl phenyl carbamate) (250 mm × 4.6 mm, 5 μm) column. The UFLC analysis was monitored at 210 nm. The method showed good linearity with a regression coefficient (r<sup>2</sup>) of 0.999 in the range of 1 - 12 μg/ml for <i>S</i>-vilda. The detection limit (LOD), quantitation limit (LOQ), and the average percentage recovery for <i>S</i>-vilda were found to be 0.024, 0.075 μg/mL, and 99.19% to 100.4%, respectively. The percentages of relative standard deviation (% RSD) for intra- and inter-day precision were found to be 0.346% and 0.364%, respectively. The developed method proved to be reproducible as % RSD was <2% and it had robustness within the acceptable limit. The percentage purity of pharmaceutical preparations of <i>S</i>-vilda was found to be 99.19 w/w. The proposed chiral method can be put in application for the enantiomeric purity determination of <i>S</i>-vilda formulations.
