This study investigated the application and the effect of Group Investigation(GI) in the College English Program in a Chinese University. A qualitative case study method was used to understand the GI system used by Ch...This study investigated the application and the effect of Group Investigation(GI) in the College English Program in a Chinese University. A qualitative case study method was used to understand the GI system used by Chinese instructors as well as the achievements acquired and challenges met by the participants. Three instructors and fifteen second-year-undergraduates taking a course titled Sources of European Culture participated. Interviews, observations, and documents were used to collect the data. Data analysis showed Chinese instructors applied a GI technique similar to that discussed by Johnson and Johnson(1999); however, GI in the Chinese context demanded more effort from the teacher for designing tasks and provided help in modeling uses of English and in preparing visual, especially Power Point, presentations. Although participants used their mother tongue at some stages, their autonomy over English learning was activated, and horizons in the course content were broadened.展开更多
A new prioritization method in the analytic hierarchy process （AHP）, which improves the group fuzzy preference programming （GFPP） method, is proposed. The fuzzy random theory is applied in the new prioritization m...A new prioritization method in the analytic hierarchy process （AHP）, which improves the group fuzzy preference programming （GFPP） method, is proposed. The fuzzy random theory is applied in the new prioritization method. By modifying the principle of decision making implied in the GFPP method, the improved group fuzzy preference programming （IGFPP） method is formulated as a fuzzy linear programming problem to maximize the average degree of the group satisfaction with all possible group priority vectors. The IGFPP method inherits the advantages of the GFPP method, and solves the weighting trouble existed in the GFPP method. Numerical tests indicate that the IGFPP method performs more effectively than the GFPP method in the case of very contradictive comparison judgments from decision makers.展开更多
目的分析首发精神分裂症患者认知水平与血清高迁移率族蛋白B1(high mobil ity group protein B1,HMGB1)、胃饥饿素(Ghrelin)、程序性细胞死亡因子4(programmed cell death factor 4,PDCD4)的相关性。方法选定乌鲁木齐市第四人民医院2021...目的分析首发精神分裂症患者认知水平与血清高迁移率族蛋白B1(high mobil ity group protein B1,HMGB1)、胃饥饿素(Ghrelin)、程序性细胞死亡因子4(programmed cell death factor 4,PDCD4)的相关性。方法选定乌鲁木齐市第四人民医院2021年6月~2023年6月就诊的60例首发精神分裂症患者为研究对象,以MATRICS公认认知成套测验(MATRICS consensus cognitive battery,MCCB)量表对患者进行认知功能评价,以MCCB量表评价患者认知功能并分组,比较认知功能正常组(39例)、认知功能障碍组(21例)阳性阴性症状评定量表(PANSS)评分、血清HMGB1、Ghrelin、PDCD4水平的差异,Pearson分析血清HMGB1、Ghrelin、PDCD4与MCCB评分、PANSS评分的相关性。结果认知功能障碍组MCCB评分、血清Ghrelin、PDCD4水平均低于认知功能正常组(P<0.05);认知功能障碍组PANSS评分、血清HMGB1均高于认知功能正常组(P<0.05);血清HMGB1与MCCB评分呈负相关性(P<0.05,r值=-0.394),与PANSS评分呈正相关性(P<0.05,r值=0.405),血清Ghrelin、PDCD4与MCCB评分均呈正相关性(P均<0.05,r值=0.386、0.412),血清Ghrelin、PDCD4与PANSS评分均呈负相关性(P<0.05,r值=-0.392、-0.402)。结论首发精神分裂症患者血清Ghrelin、PDCD4水平较低,血清HMGB1水平较高,血清HMGB1、Ghrelin、PDCD4与首发精神分裂症患者认知功能具有相关性。展开更多
飞机货舱中非集装器的配载是重要的运输环节,而如何保障非集装器的配载,是亟须研究的重要内容。其中二维矩形切割排样问题是解决非集装器运输的重要理论方法。二维矩形切割排样理论在原材料切割、装箱等问题中有着广泛应用,但尚无很好...飞机货舱中非集装器的配载是重要的运输环节,而如何保障非集装器的配载,是亟须研究的重要内容。其中二维矩形切割排样问题是解决非集装器运输的重要理论方法。二维矩形切割排样理论在原材料切割、装箱等问题中有着广泛应用,但尚无很好的求解算法。该方法会因求解速度而拖累整个实际生产作业进度。因此,本文提出了二维切割排样的混合整数线性规划(Mixed-integer linear programming,MILP)模型,模型目标是以矩形板面积利用率和切割排样价值最大为目标,模型考虑了不超边界、不重叠、可正交旋转等限制。设计了启发式分组策略的求解算法:首先基于启发式把矩形块分组为不同组别的小矩形块,降低变量和计算规模;其次,采用混合整数规划精确算法对每个小矩形块进行切割排样。以经典Benchmark实验数据为例,将Gurobi分组与Gurobi、CutLogic2D、基于遗传算法和最低水平线算法的混合算法对比。实验结果表明,CutLogic2D综合求解质量和速度较好;Gurobi分组方法是一种启发式算法,总体上要稍差于CutLogic2D;遗传算法和最低水平线算法因是启发式算法且未使用分组策略,和Gurobi分别在部分算例上求解时间相对较长,达到了7200 s,这是无法接受的。展开更多
By using electric computer machine, via computation method, we obtained some important properties of alternating group A \{6\} as below: 1) A \{6 \} has 501 subgroups in total, and for each subgroup we give ...By using electric computer machine, via computation method, we obtained some important properties of alternating group A \{6\} as below: 1) A \{6 \} has 501 subgroups in total, and for each subgroup we give its generators; 2) the index of A \{6\}'s subgroup can only be 1,2,3,4,5,6,8,9,10,12,18,24,36,60,360; 3) all subgroups of A \{6\} are separated into 22 conjugate classes, and the subgroups contained in each class are listed.展开更多
基金supported by the 2013 Fundamental Re-search Funds for the Central Universities of Xi’an Jiaotong UniversityThe Subject of Shaanxi Province Educational Science Twelveth-Five-Year Plan
文摘This study investigated the application and the effect of Group Investigation(GI) in the College English Program in a Chinese University. A qualitative case study method was used to understand the GI system used by Chinese instructors as well as the achievements acquired and challenges met by the participants. Three instructors and fifteen second-year-undergraduates taking a course titled Sources of European Culture participated. Interviews, observations, and documents were used to collect the data. Data analysis showed Chinese instructors applied a GI technique similar to that discussed by Johnson and Johnson(1999); however, GI in the Chinese context demanded more effort from the teacher for designing tasks and provided help in modeling uses of English and in preparing visual, especially Power Point, presentations. Although participants used their mother tongue at some stages, their autonomy over English learning was activated, and horizons in the course content were broadened.
基金Sponsored by the National Natural Science Foundation of China (70471063)
文摘A new prioritization method in the analytic hierarchy process （AHP）, which improves the group fuzzy preference programming （GFPP） method, is proposed. The fuzzy random theory is applied in the new prioritization method. By modifying the principle of decision making implied in the GFPP method, the improved group fuzzy preference programming （IGFPP） method is formulated as a fuzzy linear programming problem to maximize the average degree of the group satisfaction with all possible group priority vectors. The IGFPP method inherits the advantages of the GFPP method, and solves the weighting trouble existed in the GFPP method. Numerical tests indicate that the IGFPP method performs more effectively than the GFPP method in the case of very contradictive comparison judgments from decision makers.
文摘目的分析首发精神分裂症患者认知水平与血清高迁移率族蛋白B1(high mobil ity group protein B1,HMGB1)、胃饥饿素(Ghrelin)、程序性细胞死亡因子4(programmed cell death factor 4,PDCD4)的相关性。方法选定乌鲁木齐市第四人民医院2021年6月~2023年6月就诊的60例首发精神分裂症患者为研究对象,以MATRICS公认认知成套测验(MATRICS consensus cognitive battery,MCCB)量表对患者进行认知功能评价,以MCCB量表评价患者认知功能并分组,比较认知功能正常组(39例)、认知功能障碍组(21例)阳性阴性症状评定量表(PANSS)评分、血清HMGB1、Ghrelin、PDCD4水平的差异,Pearson分析血清HMGB1、Ghrelin、PDCD4与MCCB评分、PANSS评分的相关性。结果认知功能障碍组MCCB评分、血清Ghrelin、PDCD4水平均低于认知功能正常组(P<0.05);认知功能障碍组PANSS评分、血清HMGB1均高于认知功能正常组(P<0.05);血清HMGB1与MCCB评分呈负相关性(P<0.05,r值=-0.394),与PANSS评分呈正相关性(P<0.05,r值=0.405),血清Ghrelin、PDCD4与MCCB评分均呈正相关性(P均<0.05,r值=0.386、0.412),血清Ghrelin、PDCD4与PANSS评分均呈负相关性(P<0.05,r值=-0.392、-0.402)。结论首发精神分裂症患者血清Ghrelin、PDCD4水平较低,血清HMGB1水平较高,血清HMGB1、Ghrelin、PDCD4与首发精神分裂症患者认知功能具有相关性。
文摘飞机货舱中非集装器的配载是重要的运输环节,而如何保障非集装器的配载,是亟须研究的重要内容。其中二维矩形切割排样问题是解决非集装器运输的重要理论方法。二维矩形切割排样理论在原材料切割、装箱等问题中有着广泛应用,但尚无很好的求解算法。该方法会因求解速度而拖累整个实际生产作业进度。因此,本文提出了二维切割排样的混合整数线性规划(Mixed-integer linear programming,MILP)模型,模型目标是以矩形板面积利用率和切割排样价值最大为目标,模型考虑了不超边界、不重叠、可正交旋转等限制。设计了启发式分组策略的求解算法:首先基于启发式把矩形块分组为不同组别的小矩形块,降低变量和计算规模;其次,采用混合整数规划精确算法对每个小矩形块进行切割排样。以经典Benchmark实验数据为例,将Gurobi分组与Gurobi、CutLogic2D、基于遗传算法和最低水平线算法的混合算法对比。实验结果表明,CutLogic2D综合求解质量和速度较好;Gurobi分组方法是一种启发式算法,总体上要稍差于CutLogic2D;遗传算法和最低水平线算法因是启发式算法且未使用分组策略,和Gurobi分别在部分算例上求解时间相对较长,达到了7200 s,这是无法接受的。
文摘By using electric computer machine, via computation method, we obtained some important properties of alternating group A \{6\} as below: 1) A \{6 \} has 501 subgroups in total, and for each subgroup we give its generators; 2) the index of A \{6\}'s subgroup can only be 1,2,3,4,5,6,8,9,10,12,18,24,36,60,360; 3) all subgroups of A \{6\} are separated into 22 conjugate classes, and the subgroups contained in each class are listed.
