Tertiary Hierarchical Complexity in Assemblies of Sulfur-Bridged Metal Chiral Clusters

2020 ◽  
Vol 142 (34) ◽  
pp. 14495-14503
Author(s):  
Haixiang Han ◽  
Yuan Yao ◽  
Anuj Bhargava ◽  
Zheng Wei ◽  
Zhichu Tang ◽  
...  
Keyword(s):  
Hierarchical Complexity

Perceiving Hierarchical Structures in Nonrepresentational Paintings

1998 ◽  
Vol 16 (1) ◽  
pp. 59-70 ◽  
Author(s):  
Tsion Avital ◽  
Gerald C. Cupchik
Keyword(s):  
Factor Analysis ◽  
Multidimensional Scaling ◽  
Hierarchical Structure ◽  
Hierarchical Structures ◽  
Exploratory Activity ◽  
Affective Responses ◽  
Hierarchical Complexity ◽  
The Hierarchical Structure ◽  
Relative Separation ◽  
Dimension 2

A series of four experiments were conducted to examine viewer perceptions of three sets of five nonrepresentational paintings. Increased complexity was embedded in the hierarchical structure of each set by carefully selecting colors and ordering them in each successive painting according to certain rules of transformation which created hierarchies. Experiment 1 supported the hypothesis that subjects would discern the hierarchical complexity underlying the sets of paintings. In Experiment 2 viewers rated the paintings on collative (complexity, disorder) and affective (pleasing, interesting, tension, and power) scales, and a factor analysis revealed that affective ratings were tied to complexity (Factor 1) but not to disorder (Factor 2). In Experiment 3, a measure of exploratory activity (free looking time) was correlated with complexity (Factor 1) but not with disorder (Factor 2). Multidimensional scaling was used in Experiment 4 to examine perceptions of the paintings seen in pairs. Dimension 1 contrasted Soft with Hard-Edged paintings, while Dimension 2 reflected the relative separation of figure from ground in these paintings. Together these results show that untrained viewers can discern hierarchical complexity in paintings and that this quality stimulates affective responses and exploratory activity.

scholarly journals The Strategy of Realizing Sharia Based School Cooperative in Tasikmalaya City, Indonesia

2017 ◽  
Vol 5 (1) ◽  
pp. 47-58
Author(s):  
Asep Suryanto
Keyword(s):  
School Leadership ◽  
Analytic Network Process ◽  
Qualitative Approach ◽  
Primary Data ◽  
Depth Interview ◽  
Hierarchical Complexity ◽  
Network Process ◽  
The Government ◽  
Policy Holder ◽  
Research Show

The objectives of this research: 1) what factors become a problem so that school cooperative still not become sharia based school cooperative? 2) How is the strategy to realize sharia cooperative in school? This research used a qualitative approach, i.e., Analytic Network Process (ANP). In applying the ANP method, the researcher does the following: 1) structuring the hierarchical complexity into the homogeneous clusters of the factors, 2) performing the measurements into the ratio scale at all the lowest levels of the hierarchy/ network, 3) synthesizing. Data used in this research is primary data collected from questionnaires and in depth interview with experts, the policy holder, students, and teacher coach. The results of the research show that 1) The factors that become the problem of difficulties in realizing sharia-based school cooperatives are less student participation, limited capital and infrastructure, knowledge of sharia co-operatives that are less good than students and teachers, and lack of coaching from the local cooperative office. 2) There are two strategies as a solution, i.e., an internal strategy which is the policy of school leadership to support the establishment of sharia-based school cooperatives; And external strategies that should be carried out by the government to support and develop sharia cooperatives including sharia-based school cooperatives.

scholarly journals Hierarchical Complexity of the Macro-Scale Neonatal Brain

2020 ◽  
Author(s):  
Manuel Blesa ◽  
Paola Galdi ◽  
Simon R Cox ◽  
Gemma Sullivan ◽  
David Q Stoye ◽  
...  
Keyword(s):  
Functional Specialization ◽  
Newborn Period ◽  
Diverse Range ◽  
Sensorimotor Processing ◽  
Macro Scale ◽  
Hierarchical Complexity ◽  
Connectivity Patterns ◽  
Cognitive Information ◽  
The Brain ◽  
Atypical Brain Development

Abstract The human adult structural connectome has a rich nodal hierarchy, with highly diverse connectivity patterns aligned to the diverse range of functional specializations in the brain. The emergence of this hierarchical complexity in human development is unknown. Here, we substantiate the hierarchical tiers and hierarchical complexity of brain networks in the newborn period, assess correspondences with hierarchical complexity in adulthood, and investigate the effect of preterm birth, a leading cause of atypical brain development and later neurocognitive impairment, on hierarchical complexity. We report that neonatal and adult structural connectomes are both composed of distinct hierarchical tiers and that hierarchical complexity is greater in term born neonates than in preterms. This is due to diversity of connectivity patterns of regions within the intermediate tiers, which consist of regions that underlie sensorimotor processing and its integration with cognitive information. For neonates and adults, the highest tier (hub regions) is ordered, rather than complex, with more homogeneous connectivity patterns in structural hubs. This suggests that the brain develops first a more rigid structure in hub regions allowing for the development of greater and more diverse functional specialization in lower level regions, while connectivity underpinning this diversity is dysmature in infants born preterm.

scholarly journals Hierarchical complexity of the adult human structural connectome

NeuroImage ◽  
2019 ◽  
Vol 191 ◽  
pp. 205-215 ◽  
Author(s):  
Keith Smith ◽  
Mark E. Bastin ◽  
Simon R. Cox ◽  
Maria C. Valdés Hernández ◽  
Stewart Wiseman ◽  
...  
Keyword(s):  
Adult Human ◽  
Structural Connectome ◽  
Hierarchical Complexity

Editors' Introduction to the Special Issue on Postformal Thought and Hierarchical Complexity

World Futures ◽  
2008 ◽  
Vol 64 (5-7) ◽  
pp. 297-304 ◽  
Author(s):  
Michael Lamport Commons ◽  
Sara Nora Ross
Keyword(s):  
Special Issue ◽  
Postformal Thought ◽  
Hierarchical Complexity
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