東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Emergent patterns in vascular networ...

Tekin, Elif.

FindBook

Google Book

Amazon

博客來

Emergent patterns in vascular networks and interaction networks: A network-centric approach for studying complex systems.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Emergent patterns in vascular networks and interaction networks: A network-centric approach for studying complex systems./
作者:	Tekin, Elif.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
面頁冊數:	177 p.
附註:	Source: Dissertation Abstracts International, Volume: 78-08(E), Section: B.
Contained By:	Dissertation Abstracts International78-08B(E).
標題:	Systems science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10260890
ISBN:	9781369665550

Emergent patterns in vascular networks and interaction networks: A network-centric approach for studying complex systems.
Tekin, Elif.

Emergent patterns in vascular networks and interaction networks: A network-centric approach for studying complex systems. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 177 p.

Source: Dissertation Abstracts International, Volume: 78-08(E), Section: B.

Thesis (Ph.D.)--University of California, Los Angeles, 2017.

Understanding how and at what scale features emerge from complex natural and social systems has presented daunting challenges for scientists and society. Nevertheless, a unifying approach that spans different systems can offer more comprehensive insights. In this respect, network science provides a common ground and a set of abstractions that has led to important advances in understanding structures, visualizing flows, and establishing predictive models for complex systems. This dissertation studies drug interactions and cardiovascular systems by modeling them as networks to identify and investigate emergent properties. Interaction-based networks play an important role in explaining the characteristics of systems that arise as collective behaviors or responses among different components. Here, we introduce a theoretical framework for the categorization of higher-order interactions built upon the conceptual understanding of net interactions (arising from effects of all levels) and emergent interactions (relative to all lower-order effects). Analyzing and dissecting drug interactions to establish this methodology, we conclude that emergent interactions are common in three-drug combinations, and we observe greater amounts of antagonism with three drugs compared to the pairwise drug combinations. This framework provides promising applications to uncover emergent phenomena into other complex systems with many interacting components such as food webs and social systems. The subsequent parts of this dissertation deal with the vascular system. In particular, we present our recent findings on pervasive asymmetry patterns in cardiovascular branching. Next, we explore the role of optimality principles as well as random branching subject to various spatial constraints from local to intermediate to global in the emergence of these asymmetric patterns. The investigation of spatial scales is important because spatial constraints have been shown to play a key role in the organization of foundationally similar systems such as the distribution of income levels across cities. Overall, this integrative approach focuses on transferring a conceptual framework and knowledge across different fields to help elucidate and predict structures, dynamics, and general behaviors in complex systems.

ISBN: 9781369665550Subjects--Topical Terms:

3168411
Systems science.

Emergent patterns in vascular networks and interaction networks: A network-centric approach for studying complex systems.
LDR:03275nmm a2200289 4500 001 2122652
005 20170922124935.5
008 180830s2017 ||||||||||||||||| ||eng d
020 $a 9781369665550
035 $a (MiAaPQ)AAI10260890
035 $a AAI10260890
040 $a MiAaPQ $c MiAaPQ
100 1 $a Tekin, Elif. $3 3284618
245 1 0 $a Emergent patterns in vascular networks and interaction networks: A network-centric approach for studying complex systems.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2017
300 $a 177 p.
500 $a Source: Dissertation Abstracts International, Volume: 78-08(E), Section: B.
500 $a Adviser: Van M. Savage.
502 $a Thesis (Ph.D.)--University of California, Los Angeles, 2017.
520 $a Understanding how and at what scale features emerge from complex natural and social systems has presented daunting challenges for scientists and society. Nevertheless, a unifying approach that spans different systems can offer more comprehensive insights. In this respect, network science provides a common ground and a set of abstractions that has led to important advances in understanding structures, visualizing flows, and establishing predictive models for complex systems. This dissertation studies drug interactions and cardiovascular systems by modeling them as networks to identify and investigate emergent properties. Interaction-based networks play an important role in explaining the characteristics of systems that arise as collective behaviors or responses among different components. Here, we introduce a theoretical framework for the categorization of higher-order interactions built upon the conceptual understanding of net interactions (arising from effects of all levels) and emergent interactions (relative to all lower-order effects). Analyzing and dissecting drug interactions to establish this methodology, we conclude that emergent interactions are common in three-drug combinations, and we observe greater amounts of antagonism with three drugs compared to the pairwise drug combinations. This framework provides promising applications to uncover emergent phenomena into other complex systems with many interacting components such as food webs and social systems. The subsequent parts of this dissertation deal with the vascular system. In particular, we present our recent findings on pervasive asymmetry patterns in cardiovascular branching. Next, we explore the role of optimality principles as well as random branching subject to various spatial constraints from local to intermediate to global in the emergence of these asymmetric patterns. The investigation of spatial scales is important because spatial constraints have been shown to play a key role in the organization of foundationally similar systems such as the distribution of income levels across cities. Overall, this integrative approach focuses on transferring a conceptual framework and knowledge across different fields to help elucidate and predict structures, dynamics, and general behaviors in complex systems.
590 $a School code: 0031.
650 4 $a Systems science. $3 3168411
650 4 $a Applied mathematics. $3 2122814
690 $a 0790
690 $a 0364
710 2 $a University of California, Los Angeles. $b Biomathematics. $3 3284619
773 0 $t Dissertation Abstracts International $g 78-08B(E).
790 $a 0031
791 $a Ph.D.
792 $a 2017
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10260890