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Exploring Biocomplexity in Cancer: A Comprehensive Review

Open Journal of Biophysics 2024年第2期14卷 154-238页

作者： Andras Szasz Gyula Peter Szigeti Department of Biotechnics Hungarian University of Agriculture and Life Sciences G&#246d&#246ll&#337 Hungary John von Neumann Faculty of Informatics O&#769buda University Budapest Hungary

Living objects have complex internal and external interactions. The complexity is regulated and controlled by homeostasis, which is the balance of multiple opposing influences. The environmental effects finally guide the self-organized structure. The living systems are open, dynamic structures performing random, stationary, stochastic, self-organizing processes. The self-organizing procedure is defined by the spatial-temporal fractal structure, which is self-similar both in space and time. The system’s complexity appears in its energetics, which tries the most efficient use of the available energies;for that, it organizes various well-connected networks. The controller of environmental relations is the Darwinian selection on a long-time scale. The energetics optimize the healthy processes tuned to the highest efficacy and minimal loss (minimalization of the entropy production). The organism is built up by morphogenetic rules and develops various networks from the genetic level to the organism. The networks have intensive crosstalk and form a balance in the Nash equilibrium, which is the homeostatic state in healthy conditions. Homeostasis may be described as a Nash equilibrium, which ensures energy distribution in a “democratic” way regarding the functions of the parts in the complete system. Cancer radically changes the network system in the organism. Cancer is a network disease. Deviation from healthy networking appears at every level, from genetic (molecular) to cells, tissues, organs, and organisms. The strong proliferation of malignant tissue is the origin of most of the life-threatening processes. The weak side of cancer development is the change of complex information networking in the system, being vulnerable to immune attacks. Cancer cells are masters of adaptation and evade immune surveillance. This hiding process can be broken by electromagnetic nonionizing radiation, for which the malignant structure has no adaptation strategy. Our objective is to review the different sides of living complexity and us

关键词： Complexity Networks small-world Genetic Mutations Self-Organizing Self-Symmetry Energetic Balance Entropy Nash Equilibrium Games Evolution Cancer Therapy

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small-world networks of neuroblastoma cells cultured in three-dimensional polymeric scaffolds featuring multi-scale roughness

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Neural Regeneration Research 2020年第4期15卷 759-768页

作者： Valentina Onesto Angelo Accardo Christophe Vieu Francesco Gentile Center for Advanced Biomaterials for Healthcare Italian Institute of TechnologyNaplesItaly Laboratoire d’Analyse et d’Architecture des Systemes(LAAS) Centre National de la Recherche ScientifiqueUniversite de ToulouseCNRSToulouseFrance Institut National des Sciences Appliquees–INSA ToulouseFrance Department of Electric Engineering and Information Technology University Federico IINaplesItaly Department of Precision and Microsystems Engineering Delft University of TechnologyMekelweg 22628 CD DelftThe Netherlands

Understanding the mechanisms underlying cell-surface interaction is of fundamental importance for the rational design of scaffolds aiming at tissue engineering,tissue repair and neural regeneration applications.Here,we examined patterns of neuroblastoma cells cultured in three-dimensional polymeric scaffolds obtained by two-photon lithography.Because of the intrinsic resolution of the technique,the micrometric cylinders composing the scaffold have a lateral step size of^200 nm,a surface roughness of around 20 nm,and large values of fractal dimension approaching 2.7.We found that cells in the scaffold assemble into separate groups with many elements per group.After cell wiring,we found that resulting networks exhibit high clustering,small path lengths,and small-world characteristics.These values of the topological characteristics of the network can potentially enhance the quality,quantity and density of information transported in the network compared to equivalent random graphs of the same size.This is one of the first direct observations of cells developing into 3D small-world networks in an artificial matrix.

关键词： 3D networks biomaterials nano-topography network topology neuro-regeneration small-world networks tissue engineering two-photon lithography

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Altered small-world,functional brain networks in patients with lower back pain

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Science China(Life Sciences) 2018年第11期61卷 1420-1424页

作者： Jing Liu Feng zhang Xiufen Liu Zhizheng Zhuo Juan Wei Minyi Du Queenie Chan Xiaoying Wang Dongxin Wang Department of Radiology Peking University First HospitalBeijing 100034China Department of Anesthesiology Peking University First HospitalBeijing 100034China Philips Healthcare Beijing 100600China Philips Research China Shanghai 200040China Philips Healthcare Hong KongChina

In this study, we aimed to investigate the functional network changes that occur in patients with lower back pain(LBP). We also investigated the link between LBP and the small-world properties of functional networks within the brain. Functional MRI(fMRI) was performed on 20 individuals with LBP and 17 age and gender-matched normal controls during the resting state. The severity of the pain in the individuals with LBP ranged from 5 to 8 on a 0–10 scale, with 0 indicating no pain. Network-based statistics were performed to investigate the differences between the brain networks of individuals with LBP and those of normal controls. Several small-world parameters of brain networks were calculated, including the clustering coefficient, characteristic path length, local efficiency, and global efficiency. These criteria reflect the overall network efficiency. The brain networks in the individuals with LBP due to herniation of a lumbar disc demonstrated a significantly longer characteristic path length as well as a lower clustering coefficient, global efficiency, and local efficiency compared to those in control subjects. We found that LBP patients tended to have unstable and inefficient brain networks when compared with healthy controls. In addition, LBP individuals showed significantly decreased functional connectivity in the anterior cingulate cortex, middle cingulate cortex, post cingulate cortex, inferior frontal gyrus, middle temporal gyrus, occipital gyrus, postcentral gyrus, precentral gyrus, supplementary motor area, thalamus, fusiform, caudate, and cerebellum. We believe that these regions may be involved in the pathophysiology of lower back pain.

关键词： small-world network brain functional networks resting-state fMRI low back pain

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Design and optimization of VLC based small-world data centers

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Frontiers of Computer Science 2019年第5期13卷 1034-1047页

作者： Yudong QIN Deke GUO Lailong LUO Geyao CHENG Zeliu DING Science and Technology on Information System Engineering Laboratory National University of Defense Technology Changsha 410073 China School of Electronic Engineering Naval University of Engineering Wuhan 430033 China

The visible light communication (VLC) has the potential to provide dense and fast connectivity at low cost. In this paper, we propose a novel VLC enabled Wireless small-world Data Center (WSWDC). It employs VLC links to achieve a fully wireless data center network (DCN) across racks for the first time. The using of VLC links eliminates hierarchical switches and inter-rack cables, and thus reducing hardware investment, as well as maintenance cost. More precisely, to simplify the configuration and control operations, we propose three DCN design rationales:(1) fully-wireless, all inter-rack links are wireless;(2) easy-deployable, it is not necessary to change the existing infrastructure inside data center;(3) plug-and-play, no extra centralized control operations are required. Previous proposals, however, cannot achieve the three rationales simultaneously. To this end, we first use regular VLC links to interconnect racks as a regular grid DCN and optimize the rack placement to shorten the average path length and the network diameter. To further exploiting the benefits of VLC links, a few random VLC links are carefully introduced to update the wireless grid DCN as a wireless small-world DCN. To avoid the potential interference among VLC links, we deploy VLC transceivers at different heights on the top of each rack. In this way, VLC links would not interfere with others at each height level. Moreover, we design a greedy but efficient routing method for any pair of racks using their identifiers as inputs. Comprehensive evaluation results indicate that our WSWDC exhibits good topological properties and network performance.

关键词： data center network visible light communication small-world wireless links topology design

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Harmonic stochastic resonance-enhanced signal detecting in NW small-world neural network

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Chinese Physics B 2010年第11期19卷 230-235页

作者：王道光梁小明王晶杨成方刘凯吕华平 School of Physics and Electronic Engineering Xuzhou Normal University Institute of Theoretical Physics East China Normal University

The harmonic stochastic resonance-enhanced signal detecting in Newman-Watts small-world neural network is studied using the Hodgkin-Huxley dynamical equation with noise. If the connection probability p, coupling strength gsyn and noise intensity D matches well, higher order resonance will be found and an optimal signal-to-noise ratio will be obtained. Then, the reasons are given to explain the mechanism of this appearance.

关键词： stochastic resonance small-world Hodgkin-Huxley signal-to-noise ratio

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EXTENDED CLUSTERING COEFFICIENTS：GENERALIZATION OF CLUSTERING COEFFICIENTS IN small-world NETWORKS

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Journal of Systems Science and Systems Engineering 2007年第3期16卷 370-382页

作者： Wenjun XIAO Wenhong WEI Weidong CHEN Yong QIN Behrooz PARHAMI Department of Computer Science South China University of Technology Guangzhou 510641 China Department of Electrical & ComputerEngineering University of California Santa Barbara CA 93106-9560 USA

The clustering coefficient C of a network, which is a measure of direct connectivity between neighbors of the various nodes, ranges from 0 （for no connectivity） to 1 （for full connectivity）. We define extended clustering coefficients C（h） of a small-world network based on nodes that are at distance h from a source node, thus generalizing distance-1 neighborhoods employed in computing the ordinary clustering coefficient C = C（1）. Based on known results about the distance distribution Pδ（h） in a network, that is, the probability that a randomly chosen pair of vertices have distance h, we derive and experimentally validate the law Pδ（h）C（h） ≤ c log N / N, where c is a small constant that seldom exceeds 1. This result is significant because it shows that the product Pδ（h）C（h） is upper-bounded by a value that is considerably smaller than the product of maximum values for Pδ（h） and C（h）. Extended clustering coefficients and laws that govern them offer new insights into the structure of small-world networks and open up avenues for further exploration of their properties.

关键词： Clustering coefficient small-world extended clustering coefficient distance distribution

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Mapping the small-world properties of brain networks in Chinese to English simultaneous interpreting by using functional near-infrared spectroscopy

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Journal of Innovative Optical Health Sciences 2018年第3期11卷 8-19页

作者： Xiaohong Lin Victoria Lai Cheng Lei Defeng Li Zhishan Hu Yutao Xiang Zhen Yuan Faculty of Health Sciences University of Macao Macao SARP.R.China Department of English Faculty of Arts and Humanities University of Macao Macao SARP.R.China Centre for Studies of Translation Interpreting and Cognition University of Macao Macao

The aim of this study is to examine the small-world properties of functional brain networks inChinese to English simultaneous interpreting(SI)using functional near-infrared spectroscopy(INIRS),In particular,the fNIRS neuroimaging combined with complex network analysis wasperformed to extract the features of functional brain networks underling three translationstrategies associated with Chinese to English SI:"transcoding"that takes the"shortcut"linkingtranslation equivalents between Chinese and the English,code-mixing"that basically does notinvolve blingual procesing,and"transphrasingn that takes the long route"involving amonolingual processing of meaning in Chinese and then another monolingual processing ofmeaning in English.Our results demonstrated that the small-world net work topology was able todistinguish well bet ween the transcoding,code-mixing and transphrasing strategies related toChinese to English SI.

关键词： fNIRS translation simultaneous interpreting small-world brain net work

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基于small-world网络的非结构化DHT算法

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计算机研究与发展 2005年第1期42卷 109-117页

作者：周晋李衍达清华大学自动化系北京100084

目前,非结构化的P2P路由算法面临着搜索效率低下的严峻问题,这严重影响了非结构算法的应用领域.提出一种基于关键字聚类的分布式哈希表算法,主要思路是将环状关键字空间分成上下两层,下层(AUT层)负责关键字管理,上层(HUB层)负责节点路由... 详细信息

目前,非结构化的P2P路由算法面临着搜索效率低下的严峻问题,这严重影响了非结构算法的应用领域.提出一种基于关键字聚类的分布式哈希表算法,主要思路是将环状关键字空间分成上下两层,下层(AUT层)负责关键字管理,上层(HUB层)负责节点路由.每个节点用一个随机数值作为它的聚类中心,从过往的路由消息中本地节点将抽取文件关键字和节点聚类中心,以聚类原则将这些数据记录到本地路由表中.除了改进非结构化算法的数据组织无序性,另一个目标是提高搜索效率.于是,上述算法的增强算法利用了small-world理论,在HUB层中加入远距离节点的聚类中心,将确定性聚类转化为概率性聚类,故能保证路由长度为O(log2N).

关键词： peer-to-peer 路由算法聚类分布 small-world DHT

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Local Interactions and the Emergence of a Twitter small-world Network

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Social Networking 2015年第2期4卷 33-40页

作者： Eugene Ch’ng School of Computer Science Big Data and Visual Analytics Lab University of Nottingham Ningbo China Ningbo China

The small-world phenomenon is found in many self-organising systems. Systems configured in small-world networks spread information more easily than in random or regular lattice-type networks. Whilst it is a known fact that small-world networks have short average path length and high clustering coefficient in self-organising systems, the ego centralities that maintain the cohesiveness of small-world network have not been formally defined. Here we show that instantaneous events such as the release of news items via Twitter, coupled with active community arguments related to the news item form a particular type of small-world network. Analysis of the centralities in the network reveals that community arguments maintain the small-world network whilst ac-tively maintaining the cohesiveness and boundary of the group. The results demonstrate how an active Twitter community unconsciously forms a small-world network whilst interacting locally with a bordering community. Over time, such local interactions brought about the global emergence of the small-world network, connecting media channels with human activities. Understanding the small-world phenomenon in relation to online social or civic movement is important, as evident in the spate of online activists that tipped the power of governments for the better or worst in recent times. The support, or removal of high centrality nodes in such networks has important ramifications in the self-expression of society and civic discourses. The presentation in this article anticipates further exploration of man-made self-organising systems where a larger cluster of adhoc and active community maintains the overall cohesiveness of the network.

关键词： Social Network Analysis Social Movement Community #Freejahar small-world Networks

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一种基于small-world和相似度的文本聚类算法

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情报杂志 2006年第2期25卷 52-54,57页

作者：董洛兵马力焦李成西安电子科技大学西安710071

在介绍small-world基本概念的基础上,利用人类语言中存的small-world现象,提出了一种基于small-world的文档关键字提取算法,给出一种相似度聚类算法的描述。

关键词： small-world 关键字挖掘相似度文本聚类

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