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The Tree of Character — An analysis of the character of college students based on sculpture art

机译：字符之树 - 基于雕塑艺术的大学生特征分析

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Ying Zhao;
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1. The Effect of Problem-Based Learning with Character Emphasis toward Students’ Higher-Order Thinking Skills and Characters [J] . Suhirman Suhirman, Yusuf Yusuf, Agus Muliadi, International Journal of Emerging Technologies in Learning (iJET) . 2020,第6期

机译：基于问题的学习与性格对学生的高阶思维技巧和人物的影响
2. DETERMINATION OF EFFECTIVENESS OF EVALUATION RESULTS ON SCHOOL CULTURE AND CHARACTER OF JUNIOR HIGH SCHOOL STUDENTS USING CHARACTER ASSESSMENT INSTRUMENTS WITH THE LOCAL WISDOM OF BALI BASED ON MOBILE PHONE [J] . IDA BAGUS PUTU ARNYANA, I WAYAN SADIA, I KETUT SUMA, Journal of Theoretical and Applied Information Technology . 2017,第20期

机译：基于移动电话的巴厘岛当地特色性格测评表确定初中生文化程度和评价结果的有效性
3. DETERMINATION OF EFFECTIVENESS OF EVALUATION RESULTS ON SCHOOL CULTURE AND CHARACTER OF JUNIOR HIGH SCHOOL STUDENTS USING CHARACTER ASSESSMENT INSTRUMENTS WITH THE LOCAL WISDOM OF BALI BASED ON MOBILE PHONE [J] . IDA BAGUS PUTU ARNYANA, I WAYAN SADIA, I KETUT SUMA, Journal of Theoretical and Applied Information Technology . 2017,第20期

机译：基于移动电话的巴厘岛当地特色性格测评表确定初中生文化程度和评价结果的有效性
4. Utilization of Multimedia-Based Learning Materials on Civic Education Courses in Shaping the Character of College Students [C] . Kurnisar Kurnisar, Sri Artati Waluyati, Husnul Fatihah, Annual Conference on Civic Education . 2019

机译：利用基于多媒体的学习资料对城市教育课程塑造大学生特征
5. Learning Chinese characters: A comparative study of the learning strategies of students whose native language is alphabet-based and students whose native language is character-based. [D] . Arrow, Ju-Chuan. 2004

机译：学习汉字：对以字母为母语的学生和以字符为母语的学生的学习策略的比较研究。
6. The Virtuous Drinker: Character Virtues as Correlates and Moderators of College Student Drinking and Consequences [O] . Ms. Diane E. Logan, Dr. Jason R. Kilmer, Dr. G. Alan Marlatt -1

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7. Figure 6: (A) Tree resulted the standard MP analysis of the 98-loci supermatrix of the Great Apes (Hominidae, Primates, Mammalia) constructed using the modified summary of Lehtonen et al. (2011) (see “Materials and Methods” for the details) and a posteriori rooted relatively Papio (length = 12,092, CI = 0.7877, RI = 0.5597); 34,022 characters are constant, and the number of the parsimony-informative characters is equal to 4,311. MP BS values are provided below branches. The only characters with non-ambiguous value of the outgroup (Papio) have been saved within concatenated alignment; (B) the average consensus tree of the score 0.00084 resulted the analysis of the Hennigian forest of the 5,507 trees derived from the binary representation of the 98-loci supermatrix of the Great Apes (Hominidae, Primates, Mammalia) (see “Materials and Methods” for the details); Papio is assumed to be the best all-plesiomorphic group. “Additional…” FORESTER’s output tree file (see “Materials and Methods” for the details) selected for future analyses; (C) the average consensus tree of the score 0.00090 resulted the analysis of the Hennigian forest of the 5,339 trees derived from the modified binary representation of the 98-loci supermatrix of the Great Apes (Hominidae, Primates, Mammalia) (see 6.I. and “Materials and Methods” for the details), but with all 168 trees, which contain the clade (Homo plus Pan) have been removed from the input forest. “Additional…” FORESTER’s output tree file (see “Materials and Methods”) selected for future analyses. [O] . -1

机译：图6：（A）树导致的标准MP分析的98-基因座的类人猿（人科，灵长类动物，哺乳动物），使用莱赫托宁等人的修改的摘要构成的超级矩阵。（2011）（参见细节“材料和方法”）以及相对植根狒狒后验概率（长度= 12092，CI = 0.7877，RI = 0.5597）; 34022个字符是恒定的，并且简约信息的字符数等于4311。下面提供分支MP BS值。与外类群（狒狒）的非模糊值的唯一的字符已被保存的级联对准内; （B）的得分0.00084的平均一致树导致从巨猿（原始人类，灵长类动物，哺乳动物）的98座超级矩阵的二进制表示获得的5507棵的Hennigian森林的分析（见“材料和方法”为细节）;狒狒被认为是最好的全祖征群。 “其他...” FORESTER的输出树文件（请参阅详细信息“材料和方法”），用于进一步的分析; （C）的分数0.00090的平均一致树导致从98个位点的类人猿（人科，灵长类动物，哺乳动物）的超级矩阵（见6.I的改性二进制表示导出的5339种树木的Hennigian森林的分析以及“材料和方法”的详细说明），但所有168棵，其中包含的分支（智人加PAN）已经从输入林中删除。 “其他...” FORESTER的输出树文件（参见“材料和方法”），用于进一步的分析。

The Tree of Character — An analysis of the character of college students based on sculpture art

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