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Prospectivity modeling of porphyry copper deposits: recognition of efficient mono-and multi-element geochemical signatures in the Varzaghan district, NW Iran 被引量:1
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作者 Reza Ghezelbash Abbas Maghsoudi Mehrdad Daviran 《Acta Geochimica》 EI CAS CSCD 2019年第1期131-144,共14页
The Varzaghan district at the northwestern margin of the Urumieh–Dokhtar magmatic arc, is considered a promising area for the exploration of porphyry Cu deposits in Iran. In this study we identified mono-and multi-el... The Varzaghan district at the northwestern margin of the Urumieh–Dokhtar magmatic arc, is considered a promising area for the exploration of porphyry Cu deposits in Iran. In this study we identified mono-and multi-element geochemical anomalies associated with Cu–Au–Mo–Bi mineralization in the central parts of the Varzaghan district by applying the concentration–area fractal method. After mono-element geochemical investigations, principal component analysis was applied to ten selected elements in order to acquire a multi-element geochemical signature based on the mineralization-related component. Quantitative comparisons of the obtained fractal-based populations were carried out in accordance with known Cu occurrences using Student's t-values. Then,significant mono-and multi-element geochemical layers were separately combined with related geologic and structural layers to generate prospectivity models, using the fuzzy GAMMA approach. For quantitative evaluation of the effectiveness of different geochemical signatures in final prospectivity models, a prediction-area plot was adapted. The results show that the multi-element geochemical signature of principal component one(PC1) is more effective than mono-element layers in delimiting exploration targets related to porphyry Cu deposits. 展开更多
关键词 GEOCHEMICAL signature Concentration–area(C–A) fractal Principal component analysis(PCA) student’s t-value Fuzzy mineral prospectivity modeling(MPM) Prediction–area(P–A) PLOT
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From 4P to 4C:Strategies for College Students to Break Through in Job Hunting Competitiveness
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作者 Qin Li Yujia Huang Shijie Lin 《Journal of Social Science Development Research》 2024年第3期63-71,共9页
This article analyzes the 4C(Customer,Cost,Convenience,Communication)strategy from the perspective of marketing,and explores its application in the job hunting process of college students,aiming to provide effective s... This article analyzes the 4C(Customer,Cost,Convenience,Communication)strategy from the perspective of marketing,and explores its application in the job hunting process of college students,aiming to provide effective strategies for college students to break through in job hunting competitiveness.By regarding themselves as"products",college students can enhance their competitiveness as"product"attributes in the job market by starting from meeting the needs of employers,reasonably positioning their own value,expanding job search channels,and effectively promoting themselves. 展开更多
关键词 COLLEGE studentS EMPLOYMENT 4C 4P
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大学生党员保持党的先进性教育的探讨 被引量:1
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作者 杨丹 《黑龙江教育学院学报》 2005年第5期38-39,共2页
高等学校党组织应把握新形势,结合大学生自身特点与实际提高认识;研究新问题,有的放矢地开展教育活动;探索新方法,科学有效地促进教育活动的深入开展,为党的事业培养可靠的接班人。
关键词 大学生党员 先进性教育 探讨
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谈党员教育中的教育思想创新
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作者 高贵春 《辽阳石油化工高等专科学校学报》 2002年第1期60-61,共2页
运用“系统论”思想阐述了新形势下,党员教育中教育思想的创新.党员教育是一项系统工程,而教育思想的创新是新时期党员教育的重要课题.加强新形势下的党员教育,在教育思想上,一是要树立整体性思想;二是要树立结构决定功能的思想;三是要... 运用“系统论”思想阐述了新形势下,党员教育中教育思想的创新.党员教育是一项系统工程,而教育思想的创新是新时期党员教育的重要课题.加强新形势下的党员教育,在教育思想上,一是要树立整体性思想;二是要树立结构决定功能的思想;三是要树立要素相关性的思想;四是要树立与环境相适应的思想. 展开更多
关键词 党员教育 教育思想 创新 党建工作
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基于群体划分的软件测试课程教学过程分析 被引量:1
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作者 韩文 邓琨 刘星妍 《信息技术》 2018年第4期70-73,78,共5页
当前,在大学软件测试课程的教学活动中,都是按自然班授课,从未考虑在每个班中,学生拥有不同的特点与特征,而区别教学问题,基于此,文中提出一种基于学生群体划分的课程教学过程分析方法 (TPASGD)。该方法在遗传算法框架中,首先,应用一次... 当前,在大学软件测试课程的教学活动中,都是按自然班授课,从未考虑在每个班中,学生拥有不同的特点与特征,而区别教学问题,基于此,文中提出一种基于学生群体划分的课程教学过程分析方法 (TPASGD)。该方法在遗传算法框架中,首先,应用一次迭代标签传播方法初始化种群,然后,通过均匀交叉,以及节点局部变异完成种群进化,最终,选用模块度Q函数作为目标函数,以完成学生群体划分任务。在完成学生群体划分任务后,使用软件测试课程的教学过程在不同学生群体中进行测试,以分析学生的学习效果。通过实验分析可知,TPASGD方法是有效的、可行的。 展开更多
关键词 学生群体 群体划分 遗传算法 模块度 教学过程
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