scholarly journals Emerging distribution networks of Roman pottery in the Ancient Mediterranean: the sigillata clay lamps of Proconsular Africa

2019 ◽  
Vol 3 (2) ◽  
pp. 132-157
Author(s):  
Marcio Teixeira Bastos
Keyword(s):  
Network Analysis ◽  
Network Science ◽  
Distribution Networks ◽  
Consumption Patterns ◽  
Recent Application ◽  
Ancient History ◽  
Coastal Regions ◽  
Urban Centers ◽  
Ceramic Consumption

This paper surveys the use of Network Science, especially the role of ArchaeologicalNetworks to the study of Archeology and Ancient History. Networkthinking and network science are valuable methodologies and analytical techniquesto apply to the study clay lamps in the framework of Roman economy.The recent application of network analysis in Antiquity and Archaeology hasdemonstrated that there are a variety of approaches to recognizing networkpatterns or thinking about phenomena as products of networked processes.Provincial connectivity is one of the most debated aspects of Roman economics,and ceramic consumption patterns in the interior and coastal regions ofAfrica Proconsularis have proven to be very different. The dominant tendencyto turn to the communities formed and structured around native identities,especially those based in the major urban centers and larger areas, seems toestablish itself as an argument for the economy and exchanges of the RomanEmpire. This types of networks helped to spread ideas and religious symbolsthrough clay lamps. Africa Proconsular demonstrates evidence that the ceramicworkshops emerged as networks in order to established themselves seekingto meet the Mediterranean demand and religious consumption.

Mutual Funds' Performance: The Role of Distribution Networks and Bank Affiliation

2020 ◽  
Author(s):  
Giorgio Albareto ◽  
Andrea Cardillo ◽  
Giuseppe Marinelli ◽  
Andrea Hamaui
Keyword(s):  
Mutual Funds ◽  
Distribution Networks

Keeping the Vision Alive: The Role of Networks in National Memorial Building A Case Study of the Vietnam Women’s Memorial and the Black Revolutionary War Patriots Memorial

Public Voices ◽  
2016 ◽  
Vol 11 (1) ◽  
pp. 89
Author(s):  
Amy Probsdorfer Kelley ◽  
John C. Morris
Keyword(s):  
Network Analysis ◽  
Revolutionary War ◽  
The Other ◽  
Perceived Popularity ◽  
National Mall ◽  
Compare And Contrast

The process to win approval to build a national memorial on the National Mall inWashington, DC is both long and complex. Many memorials are proposed, but few are chosen to inhabit the increasingly scarce space available on the Mall. Through the use of network analysis we compare and contrast two memorial proposals, with an eye toward understanding why one proposal was successful while the other seems to have failed. We conclude that the success of a specific memorial has less to do with the perceived popularity of the person or event to be memorialized, and more to do with how the sponsors use the network of people and resources available to advocate for a given proposal.

scholarly journals The Role of Network Science in Glioblastoma

Cancers ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 1045
Author(s):  
Marta B. Lopes ◽  
Eduarda P. Martins ◽  
Susana Vinga ◽  
Bruno M. Costa
Keyword(s):  
Personalized Medicine ◽  
Drug Development ◽  
Information Flow ◽  
Clinical Studies ◽  
Network Science ◽  
Cancer Genomics ◽  
High Dimensional ◽  
Network Discovery ◽  
Software Implementations

Network science has long been recognized as a well-established discipline across many biological domains. In the particular case of cancer genomics, network discovery is challenged by the multitude of available high-dimensional heterogeneous views of data. Glioblastoma (GBM) is an example of such a complex and heterogeneous disease that can be tackled by network science. Identifying the architecture of molecular GBM networks is essential to understanding the information flow and better informing drug development and pre-clinical studies. Here, we review network-based strategies that have been used in the study of GBM, along with the available software implementations for reproducibility and further testing on newly coming datasets. Promising results have been obtained from both bulk and single-cell GBM data, placing network discovery at the forefront of developing a molecularly-informed-based personalized medicine.

scholarly journals The role of lipoprotein profile in depression and cognitive performance: a network analysis

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Qiu-fang Jia ◽  
Han-xue Yang ◽  
Nan-nan Zhuang ◽  
Xu-yuan Yin ◽  
Zhen-hua Zhu ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Network Analysis ◽  
High Density Lipoprotein ◽  
Lipid Profile ◽  
Cognitive Performance ◽  
Serum Lipid ◽  
Density Lipoprotein ◽  
Lipoprotein Profile ◽  
Depressive State

AbstractLipid profile (total cholesterol and lipoprotein fractions) has been found to correlate with depression and cognitive impairment across the lifespan. However, the role of lipid levels in self-rated depressive state and cognitive impairment remains unclear. In this study, we examined the relationship between lipid profile (total cholesterol, triglycerides, high-density lipoprotein cholesterol and low-density lipoprotein cholesterol) and cognition in adults with and without self-rated depression. Four hundred and thirty-eight healthy participants completed the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS), the Self-Rating Depression Scale (SDS), and a serum lipoprotein test. Using multivariate ANOVA, partial correlation and network analysis, a network linking lipoprotein profile, depressive state and cognition was constructed. A significant difference in serum lipid profile between the high and low depressive groups was detected. Depressive state had a strong negative correlation with cognitive performance. Of the lipid profile, only high-density lipoprotein was positively correlated with depressive symptom severity, whereas the other three indices showed negative correlation with both depressive state and cognitive performance. Our results suggest that serum lipid profile may be directly linked to self-rated depression and cognitive performance. Further studies recruiting larger clinical samples are needed to elucidate the specific effect of lipoprotein on cognitive impairment in mood disorder.

scholarly journals Can Blockchain Strengthen the Energy Internet?

Network ◽  
2021 ◽  
Vol 1 (2) ◽  
pp. 95-115
Author(s):  
Charithri Yapa ◽  
Chamitha de Alwis ◽  
Madhusanka Liyanage
Keyword(s):  
Distributed Generation ◽  
Paradigm Shift ◽  
Distribution Networks ◽  
Future Research ◽  
Disruptive Technology ◽  
Electricity Distribution ◽  
Energy Internet ◽  
Energy Delivery ◽  
Electricity Grids

Emergence of the Energy Internet (EI) demands restructuring of traditional electricity grids to integrate heterogeneous energy sources, distribution network management with grid intelligence and big data management. This paradigm shift is considered to be a breakthrough in the energy industry towards facilitating autonomous and decentralized grid operations while maximizing the utilization of Distributed Generation (DG). Blockchain has been identified as a disruptive technology enabler for the realization of EI to facilitate reliable, self-operated energy delivery. In this paper, we highlight six key directions towards utilizing blockchain capabilities to realize the envisaged EI. We elaborate the challenges in each direction and highlight the role of blockchain in addressing them. Furthermore, we summarize the future research directive in achieving fully autonomous and decentralized electricity distribution networks, which will be known as Energy Internet.

scholarly journals Technology transfer in innovation networks

2017 ◽  
Vol 9 ◽  
pp. 184797901773574 ◽  
Author(s):  
Giovanna Ferraro ◽  
Antonio Iovanella
Keyword(s):  
Technology Transfer ◽  
Research Methodology ◽  
Network Science ◽  
European Countries ◽  
Innovation Networks ◽  
Science Approach

This article offers a network perspective on the collaborative effects of technology transfer, providing a research methodology based on the network science paradigm. We argue that such an approach is able to map and describe the set of entities acting in the technology transfer environment and their mutual relationships. We outline how the connections’ patterns shape the organization of the networks by showing the role of the members within the system. By means of a case study of a transnational initiative aiming to support the technology transfer within European countries, we analyse the application of the network science approach, giving evidence of its relative implications.

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