# bib

id: cord-102935-cx3elpb8
author: Hassani-Pak, Keywan
date: 2020-04-24
extension: .txt
mime: text/plain
words: 2175
sentence: 67
flesch: 45
cache: cache/cord-102935-cx3elpb8.txt
txt: txt/cord-102935-cx3elpb8.txt
title:
  KnetMiner: a comprehensive approach for supporting evidence-based gene discovery and complex trait analysis across species

summary:
  Evidence View is a ranked list of query related 121 evidence terms and enrichment scores along with linked genes. Here we report the main design principles behind KnetMiner and provide use cases for mining public datasets to identify unknown links between traits such grain colour and pre-harvest sprouting in Triticum aestivum, as well as, an evidence-based approach to identify candidate genes under an Arabidopsis thaliana petal size QTL.


id: cord-007415-d57zqixs
author: da Fontoura Costa, Luciano
title: Correlations between structure and random walk dynamics in directed complex networks
date: 2007-07-30
extension: .txt
mime: text/plain
words: 2205
sentence: 81
flesch: 48
cache: cache/cord-007415-d57zqixs.txt
txt: txt/cord-007415-d57zqixs.txt
summary:
  2766683͔ We address the relationship between structure and dynamics in complex networks by taking the steady-state distribution of the frequency of visits to nodes-a dynamical feature-obtained by performing random walks 1 along the networks. For such reasons, random walks have become one of the most important and general models of dynamics in physics and other areas, constituting a primary choice for investigating dynamics in complex networks.


id: cord-016196-ub4mgqxb
author: Wang, Cheng
title: Study on Efficient Complex Network Model
date: 2012-11-20
extension: .txt
mime: text/plain
words: 2487
sentence: 76
flesch: 46
cache: cache/cord-016196-ub4mgqxb.txt
txt: txt/cord-016196-ub4mgqxb.txt
summary:
  Obviously, the key to network propagation model studying is the formulation of the propagation rule and the choice of the network topological structure. Substitute node for the unit infected, if one unit can associate with another in infection or the other way round through some way, then we regard that the two units have connection, in this way can we get the topological structure of network propagation, the relevant propagation model can be found to study the propagation behavior in turn.


id: cord-017590-w5copp1z
author: Fresnadillo, María J.
title: A SIS Epidemiological Model Based on Cellular Automata on Graphs
date: 2009
extension: .txt
mime: text/plain
words: 2759
sentence: 107
flesch: 52
cache: cache/cord-017590-w5copp1z.txt
txt: txt/cord-017590-w5copp1z.txt
summary:
  Consequently, several models based on such mathematical objects have been proposed to simulate growth processes, reaction-diffusion systems, selfreproduction models, epidemic models, forest fire spreading, image processing algorithms, cryptographic protocols, etc. (see, for example, [12, 13] ). Now we will study what conditions that must be held to get a growth of the infected population in a node u. We have to distinguish two cases: (1) There not exist infected individuals from neighbor nodes to u; (2) There exist such infected individuals.


id: cord-155475-is3su3ga
author: Kalogeratos, Argyris
title: Winning the competition: enhancing counter-contagion in SIS-like epidemic processes
date: 2020-06-24
extension: .txt
mime: text/plain
words: 2822
sentence: 134
flesch: 55
cache: cache/cord-155475-is3su3ga.txt
txt: txt/cord-155475-is3su3ga.txt
summary:
  Motivated by social epidemics, we apply this method to a generic continuous-time SIS-like diffusion model where we allow for: i) arbitrary node transition rate functions that describe the dynamics of propagation depending on the network state, and ii) competition between the healthy (positive) and infected (negative) states, which are both diffusive at the same time, yet mutually exclusive on each node. In this study, we propose the Generalized Largest Reduction in Infectious Edges (gLRIE) strategy, which is adapted for the diffusion competition of recurrent epidemics, as well as nonlinearity and saturation of the functions of node transition rates.


id: cord-102394-vk4ag44m
author: Zhang, Hai-Feng
title: Impact of asymptomatic infection on coupled disease-behavior dynamics in complex networks
date: 2016-08-14
extension: .txt
mime: text/plain
words: 3221
sentence: 159
flesch: 55
cache: cache/cord-102394-vk4ag44m.txt
txt: txt/cord-102394-vk4ag44m.txt
summary:
  That is to say, the parameters in epidemic models should not be static but dynamic [2] . Our findings provide a typical example to emphasize the importance of incorporating human behavioral response into epidemic models, and also partially offer a theoretical tool to quantify the impacts of behavioral responses.


id: cord-010739-28qfmj9x
author: Sherborne, N.
title: Bursting endemic bubbles in an adaptive network
date: 2018-04-09
extension: .txt
mime: text/plain
words: 3350
sentence: 162
flesch: 53
cache: cache/cord-010739-28qfmj9x.txt
txt: txt/cord-010739-28qfmj9x.txt
summary:
  Adaptive network models that account for both epidemic and behavioral change have found oscillations, but in an extremely narrow region of the parameter space, which contrasts with intuition and available data. Despite this intuition, adaptive network models have so far not been able to show such robust oscillations over reasonable regions of the parameter space.


id: cord-024437-r5wnz7rq
author: Wang, Yubin
title: SLGAT: Soft Labels Guided Graph Attention Networks
date: 2020-04-17
extension: .txt
mime: text/plain
words: 3502
sentence: 212
flesch: 51
cache: cache/cord-024437-r5wnz7rq.txt
txt: txt/cord-024437-r5wnz7rq.txt
summary:
  We conduct extensive experiments on semi-supervised node classification to evaluate our proposed model. In this paper, we focus on the problem of semi-supervised node classification.


id: cord-119522-2ua8218z
author: Reddy, C. Rajashekar
title: Improving Spatio-Temporal Understanding of Particulate Matter using Low-Cost IoT Sensors
date: 2020-05-12
extension: .txt
mime: text/plain
words: 3601
sentence: 154
flesch: 56
cache: cache/cord-119522-2ua8218z.txt
txt: txt/cord-119522-2ua8218z.txt
summary:
  Figs. 1(a) and 1(b) show the block architecture and circuit diagram, respectively, of the PM monitoring sensor node developed at IIIT-H. Each node consists of ESP8266 based NodeMCU microcontroller and sensors for PM, temperature and humidity. IoT along with dense deployment of such lowcost sensors can provide real-time access of pollution data with high spatio-temporal resolution.


id: cord-328875-fgeudou6
author: Leung, Alexander K. C.
title: Cervical lymphadenitis: Etiology, diagnosis, and management
date: 2009-04-18
extension: .txt
mime: text/plain
words: 3894
sentence: 199
flesch: 36
cache: cache/cord-328875-fgeudou6.txt
txt: txt/cord-328875-fgeudou6.txt
summary:
  On the other hand, cervical lymph nodes are usually below the mandible [ 1 ] . Ultrasonography (US) is the most useful diagnostic imaging modality in the assessment of cervical lymph nodes.


id: cord-026306-mkmrninv
author: Lepskiy, Alexander
title: Belief Functions for the Importance Assessment in Multiplex Networks
date: 2020-05-15
extension: .txt
mime: text/plain
words: 4137
sentence: 178
flesch: 53
cache: cache/cord-026306-mkmrninv.txt
txt: txt/cord-026306-mkmrninv.txt
summary:
  In this type of networks nodes can be differently connected with each other on several levels of interaction. It also requires the introduction of nodes set functions, that can vary depending on the problem statement.


id: cord-024499-14jlk5tv
author: Balalau, Oana
title: SubRank: Subgraph Embeddings via a Subgraph Proximity Measure
date: 2020-04-17
extension: .txt
mime: text/plain
words: 3741
sentence: 211
flesch: 59
cache: cache/cord-024499-14jlk5tv.txt
txt: txt/cord-024499-14jlk5tv.txt
summary:
  Sub2Vec: feature learning for subgraphs Distributed large-scale natural graph factorization Unsupervised inductive graph-level representation learning via graph-graph proximity Question answering with subgraph embeddings A comprehensive survey of graph embedding: problems, techniques, and applications DeepHawkes: bridging the gap between prediction and understanding of information cascades GraRep: learning graph representations with global structural information Learning community embedding with community detection and node embedding on graphs Graph embedding techniques, applications, and performance: a survey node2vec: scalable feature learning for networks Topic-sensitive PageRank: a context-sensitive ranking algorithm for Web search Distributed representations of sentences and documents DeepCas: an end-to-end predictor of information cascades Subgraph-augmented path embedding for semantic user search on heterogeneous social network Distributed representations of words and phrases and their compositionality Asymmetric transitivity preserving graph embedding The PageRank citation ranking: bringing order to the Web DeepWalk: online learning of social representations Line: large-scale information network embedding Verse: versatile graph embeddings from similarity measures Graph kernels RetGK: graph kernels based on return probabilities of random walks In [3] , the authors propose an inductive framework for computing graph embeddings, based on training an attention network to predict a graph proximity measure, such as graph edit distance.


id: cord-020885-f667icyt
author: Sharma, Ujjwal
title: Semantic Path-Based Learning for Review Volume Prediction
date: 2020-03-17
extension: .txt
mime: text/plain
words: 4027
sentence: 188
flesch: 43
cache: cache/cord-020885-f667icyt.txt
txt: txt/cord-020885-f667icyt.txt
summary:
  MANTIS: system support for MultimodAl NeTworks of in-situ sensors HyperLearn: a distributed approach for representation learning in datasets with many modalities Interaction networks for learning about objects, relations and physics Heterogeneous network embedding via deep architectures The task-dependent effect of tags and ratings on social media access Metapath2vec: scalable representation learning for heterogeneous networks M-HIN: complex embeddings for heterogeneous information networks via metagraphs Node2vec: scalable feature learning for networks Deep residual learning for image recognition Leveraging meta-path based context for top-n recommendation with a neural co-attention model Multimodal network embedding via attention based multi-view variational autoencoder Adam: a method for stochastic gradient descent Distributed representations of sentences and documents Deep collaborative embedding for social image understanding How random walks can help tourism Image labeling on a network: using social-network metadata for image classification Distributed representations of words and phrases and their compositionality Multimodal deep learning Multi-source deep learning for human pose estimation The PageRank citation ranking: bringing order to the web GCap: graph-based automatic image captioning DeepWalk: online learning of social representations The visual display of regulatory information and networks Nonlinear dimensionality reduction by locally linear embedding Generating visual summaries of geographic areas using community-contributed images ImageNet large scale visual recognition challenge Heterogeneous information network embedding for recommendation Semantic relationships in multi-modal graphs for automatic image annotation PathSim: meta path-based top-k similarity search in heterogeneous information networks LINE: large-scale information network embedding Study on optimal frequency design problem for multimodal network using probit-based user equilibrium assignment Adaptive image retrieval using a graph model for semantic feature integration Heterogeneous graph attention network Network representation learning with rich text information Interactive multimodal learning for venue recommendation MetaGraph2Vec: complex semantic path augmented heterogeneous network embedding We use restaurant nodes as root nodes for the unbiased random walks and perform 80 walks per root node, each with a walk length of 80.


id: cord-024504-p2vxnn9z
author: Lyu, Tianshu
title: Node Conductance: A Scalable Node Centrality Measure on Big Networks
date: 2020-04-17
extension: .txt
mime: text/plain
words: 4037
sentence: 218
flesch: 59
cache: cache/cord-024504-p2vxnn9z.txt
txt: txt/cord-024504-p2vxnn9z.txt
summary:
  On the other hand, Node Conductance curve is smoother and no peak shows up in the long tail of the curve. key: cord-024504-p2vxnn9z authors: Lyu, Tianshu; Sun, Fei; Zhang, Yan title: Node Conductance: A Scalable Node Centrality Measure on Big Networks date: 2020-04-17 journal: Advances in Knowledge Discovery and Data Mining DOI: 10.1007/978-3-030-47436-2_40 sha: doc_id: 24504 cord_uid: p2vxnn9z Node centralities such as Degree and Betweenness help detecting influential nodes from local or global view.


id: cord-028688-5uzl1jpu
author: Li, Peisen
title: Multi-granularity Complex Network Representation Learning
date: 2020-06-10
extension: .txt
mime: text/plain
words: 4539
sentence: 218
flesch: 41
cache: cache/cord-028688-5uzl1jpu.txt
txt: txt/cord-028688-5uzl1jpu.txt
summary:
  The cognitive learning mode of information network is exactly in line with the multi-granularity thinking mechanism of human intelligence problem solving, data is taken as knowledge expressed in the lowest granularity level of a multiple granularity space, while knowledge as the abstraction of data in coarse granularity levels [15] . Existing algorithms focus on the single coarse-grained topology of nodes or text information alone, which cannot describe complex information networks.


id: cord-010727-fiukemh3
author: Holme, Petter
title: Three faces of node importance in network epidemiology: Exact results for small graphs
date: 2017-12-05
extension: .txt
mime: text/plain
words: 4714
sentence: 244
flesch: 61
cache: cache/cord-010727-fiukemh3.txt
txt: txt/cord-010727-fiukemh3.txt
summary:
  In this work, we investigate how the ranking of important nodes for these three aspects differs and why (see Fig. 1 ). [13] is a bit different from ours-they call important nodes for vaccination blockers and important nodes for influence maximization spreaders.)


id: cord-014845-odnlt6fr
author: Wu, Jia
title: Reducing Energy Consumption and Overhead Based on Mobile Health in Big Data Opportunistic Networks
date: 2016-08-13
extension: .txt
mime: text/plain
words: 5400
sentence: 366
flesch: 63
cache: cache/cord-014845-odnlt6fr.txt
txt: txt/cord-014845-odnlt6fr.txt
summary:
  The deliver ratio is decided by rate of neighbor receiving data packets and node sending data data packets. This algorithm can judge routing request and predict data data packets and then can overhead, energy consumption and deliver ratio in transmission.


id: cord-010751-fgk05n3z
author: Holme, Petter
title: Objective measures for sentinel surveillance in network epidemiology
date: 2018-08-15
extension: .txt
mime: text/plain
words: 5594
sentence: 291
flesch: 61
cache: cache/cord-010751-fgk05n3z.txt
txt: txt/cord-010751-fgk05n3z.txt
summary:
  Temporal networks, in general, tend to be more disconnected than static networks. First, there are so many possible structures and correlations in temporal networks that one cannot tune them all in models [8] .


id: cord-034824-eelqmzdx
author: Guo, Chungu
title: Influential Nodes Identification in Complex Networks via Information Entropy
date: 2020-02-21
extension: .txt
mime: text/plain
words: 5772
sentence: 281
flesch: 49
cache: cache/cord-034824-eelqmzdx.txt
txt: txt/cord-034824-eelqmzdx.txt
summary:
  For example, collaboration networks [1] are used to cover the scientific collaborations between authors, email networks [2] denote the email communications between users, protein-DNA networks [3] help people gain a deep insight on biochemical reaction, railway networks [4] reveal the structure of railway via complex network methods, social networks show interactions between people Greedy method is usually used as the upper bound, but it is not efficient in large networks due to its high time complexity.


id: cord-027451-ztx9fsbg
author: De Chiara, Davide
date: 2020-05-25
extension: .txt
mime: text/plain
words: 5759
sentence: 241
flesch: 45
cache: cache/cord-027451-ztx9fsbg.txt
txt: txt/cord-027451-ztx9fsbg.txt
title:
  Data Mining for Big Dataset-Related Thermal Analysis of High Performance Computing (HPC) Data Center

summary:
  This behavioural categorisation provides an opportunity to save energy and better allocate tasks to cluster nodes to reduce overall node temperatures. Overall, effective DC management requires energy use monitoring, particularly, energy input, IT energy consumption, monitoring of supply air temperature and humidity at room level (i.e. granularity level 0 in the context of this research), monitoring of air temperature at a higher granularity level (i.e. at Computer Room Air Conditioning/Computer Room Air Handler (CRAC/CRAH) unit level, granularity level 1).


id: cord-284186-zf1w8ksm
author: Suran, J. N.
date: 2017-04-17
extension: .txt
mime: text/plain
words: 6087
sentence: 297
flesch: 50
cache: cache/cord-284186-zf1w8ksm.txt
txt: txt/cord-284186-zf1w8ksm.txt
title:
  Radiographic and ultrasonographic findings of the spleen and abdominal lymph nodes in healthy domestic ferrets

summary:
  Lymph nodes were radiographically discernible in 28 out of 55 ferrets and included caudal mesenteric and sublumbar nodes. The information provided in this study may act as a baseline for evaluation of the spleen and lymph nodes in ferrets.


id: cord-355393-ot7hztyk
author: Yuan, Peiyan
title: Community-based immunization in opportunistic social networks
date: 2015-02-15
extension: .txt
mime: text/plain
words: 5984
sentence: 368
flesch: 63
cache: cache/cord-355393-ot7hztyk.txt
txt: txt/cord-355393-ot7hztyk.txt
summary:
  Specifically, we select as High lOcal imporTance nodes (HOT) with the top 10% nodes that have the highest local importance with respect to a community, and the rest as Low lOcal imporTance nodes (LOT). [20] suggested that node importance should be recalculated after every step of node removal.


id: cord-000196-lkoyrv3s
author: Salathé, Marcel
title: Dynamics and Control of Diseases in Networks with Community Structure
date: 2010-04-08
extension: .txt
mime: text/plain
words: 6818
sentence: 260
flesch: 46
cache: cache/cord-000196-lkoyrv3s.txt
txt: txt/cord-000196-lkoyrv3s.txt
summary:
  Contact networks with fat-tailed degree distributions, for example, where a few individuals have an extraordinarily large number of contacts, result in a higher R 0 than one would expect from contact networks with a uniform degree distribution, and the existence of highly connected individuals makes them an ideal target for control measures One of the most important consequences of incorporating network structure into epidemic models was the demonstration that heterogeneity in the number of contacts (degree) can strongly affect how R 0 is calculated [12, 13, 34] .


id: cord-269711-tw5armh8
author: Ma, Junling
title: The importance of contact network topology for the success of vaccination strategies
date: 2013-05-21
extension: .txt
mime: text/plain
words: 7039
sentence: 298
flesch: 53
cache: cache/cord-269711-tw5armh8.txt
txt: txt/cord-269711-tw5armh8.txt
summary:
  The last network considered is what we term a meta-random network where random networks of various sizes are connected with a small number of interlinks. Considering that a metarandom network is a random network of random networks, it is likely that the meta-random network represents a general population better than a random network.


id: cord-199630-2lmwnfda
author: Ray, Sumanta
date: 2020-07-05
extension: .txt
mime: text/plain
words: 6402
sentence: 257
flesch: 45
cache: cache/cord-199630-2lmwnfda.txt
txt: txt/cord-199630-2lmwnfda.txt
title:
  Predicting potential drug targets and repurposable drugs for COVID-19 via a deep generative model for graphs

summary:
  After the model is trained the drug-CoV-host links are predicted using the following equation: where A i j represents the possible links between all combination of SARS-CoV-2 nodes and drug nodes. To develop suitable therapeutic strategies and design antiviral drugs, a comprehensive understanding of the interactions between viral and human proteins is essential 2 .


id: cord-322890-w78tftva
author: Suran, Jantra Ngosuwan
title: IMAGING FINDINGS IN 14 DOMESTIC FERRETS (MUSTELA PUTORIUS FURO) WITH LYMPHOMA
date: 2013-06-06
extension: .txt
mime: text/plain
words: 6864
sentence: 354
flesch: 43
cache: cache/cord-322890-w78tftva.txt
txt: txt/cord-322890-w78tftva.txt
summary:
  [1] [2] [3] Despite lymphoma being common in domestic ferrets and the use of radiography and ultrasonography being touted as part of the minimum database in the diagnosis of lymphoma, 1, 7 imaging findings in ferrets with lymphoma have been limited to a few case reports. Previous studies in normal ferrets using ultrasound have reported the normal thickness of mesenteric lymph nodes as 5.3 ± 1.39 mm and 7.6 ± 2.0 mm. 13, 14 Given that some radiographically visible lymph nodes measured as small as 6.2 mm (which is within the reported normal ranges for mesenteric lymph nodes) it is possible that normal lymph nodes may be radiographically appreciable.


id: cord-196353-p05a8zjy
author: Backhausz, 'Agnes
title: Virus spread and voter model on random graphs with multiple type nodes
date: 2020-02-17
extension: .txt
mime: text/plain
words: 7553
sentence: 336
flesch: 58
cache: cache/cord-196353-p05a8zjy.txt
txt: txt/cord-196353-p05a8zjy.txt
summary:
  We confront outcomes on different random graphs and the numerical solutions of the differential equations originating from the continuous time counterpart of the process. We studied the possible differences of the processes on different graphs, regarding the nature and magnitude of distinct result and both tried to find the reasons for them, to understand how can the structure of an underlying network affect outcomes.


id: cord-102588-vpu5w9wh
author: Le, Trang T.
title: treeheatr: an R package for interpretable decision tree visualizations
date: 2020-07-10
extension: .txt
mime: text/plain
words: 2391
sentence: 93
flesch: 45
cache: cache/cord-102588-vpu5w9wh.txt
txt: txt/cord-102588-vpu5w9wh.txt
summary:
  The simplicity of decision tree models allows for clear visualizations that can be incorporated with rich additional information such as the feature space. The state-of-the-art Python's dtreeviz produces decision trees with detailed histograms at inner nodes but still draw pie chart of different classes at leaf nodes.


id: cord-306727-2c1m04je
author: Pandey, Prateek
title: Promoting Trustless Computation Through Blockchain Technology
date: 2020-05-20
extension: .txt
mime: text/plain
words: 2629
sentence: 109
flesch: 52
cache: cache/cord-306727-2c1m04je.txt
txt: txt/cord-306727-2c1m04je.txt
summary:
  The performance of public blockchains we created is not observed because the pilot applications were deployed on Rinkeby public blockchain network, and the typical network latency for Rinkeby is 15-30 s. Therefore, Drug supply, health insurance, and land records blockchains are implemented over the Ethereum network, whereas immigration and courier blockchains are implemented on hyper ledger fabric.


id: cord-248848-p7jv79ae
author: Lee, Kookjin
date: 2020-10-28
extension: .txt
mime: text/plain
words: 6967
sentence: 256
flesch: 43
cache: cache/cord-248848-p7jv79ae.txt
txt: txt/cord-248848-p7jv79ae.txt
title:
  Parameterized Neural Ordinary Differential Equations: Applications to Computational Physics Problems

summary:
  Neural ODEs (NODEs) are a family of deep neural network models that parameterize the time-continuous dynamics of hidden states using a system of ODEs: where z(t) is a time-continuous representation of a hidden state, f Θ is a parameterized velocity function, which defines the dynamics of hidden states over time, and Θ is a set of neural network weights. Deep learning for universal linear embeddings of nonlinear dynamics Numerical computation of compressible and viscous flow Reduced-order modeling of advection-dominated systems with recurrent neural networks and convolutional autoencoders Time-series learning of latent-space dynamics for reduced-order model closure Deep dynamical modeling and control of unsteady fluid flows Reduced basis methods: Success, limitations and future challenges Linearly-recurrent autoencoder networks for learning dynamics Time-series machine-learning error models for approximate solutions to parameterized dynamical systems A deep learning enabler for nonintrusive reduced order modeling of fluid flows The mathematical theory of optimal processes Turbulence forecasting via neural ODE SNODE: Spectral discretization of neural odes for system identification Reduced Basis Methods for Partial Differential Equations: an Introduction Nonintrusive reduced order modeling framework for quasigeostrophic turbulence Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations Machine learning for nonintrusive model order reduction of the parametric inviscid transonic flow past an airfoil A trajectory piecewise-linear approach to model order reduction of nonlinear dynamical systems Depth separation for reduced deep networks in nonlinear model reduction: Distilling shock waves in nonlinear hyperbolic problems Latent odes for irregularly-sampled time series Deep neural networks motivated by partial differential equations An artificial neural network framework for reduced order modeling of transient flows Projection-based model reduction: Formulations for physics-based machine learning Learning Koopman invariant subspaces for dynamic mode decomposition Enabling nonlinear manifold projection reduced-order models by extending convolutional neural networks to unstructured data Hamiltonian generative networks Phase-adjusted estimation of the number of coronavirus disease 2019 cases in wuhan, china Non-intrusive reduced order modeling of unsteady flows using artificial neural networks with application to a combustion problem Model identification of reduced order fluid dynamics systems using deep learning A proposal on machine learning via dynamical systems Latent space physics:


id: cord-034545-onj7zpi1
author: Abuelkhail, Abdulrahman
title: Internet of things for healthcare monitoring applications based on RFID clustering scheme
date: 2020-11-03
extension: .txt
mime: text/plain
words: 7775
sentence: 372
flesch: 59
cache: cache/cord-034545-onj7zpi1.txt
txt: txt/cord-034545-onj7zpi1.txt
summary:
  However, clustering RFID nodes into groups comes with many technical challenges, such as achieving accurate positioning, collecting information in each cluster, and reporting this information from clusters head to the server for processing it. In this work, we build a network of smart nodes where each node comprises a Radio-Frequency Identification (RFID) tag, reduced function RFID reader (RFRR), and sensors.


id: cord-005090-l676wo9t
author: Gao, Chao
title: Network immunization and virus propagation in email networks: experimental evaluation and analysis
date: 2010-07-14
extension: .txt
mime: text/plain
words: 8032
sentence: 384
flesch: 53
cache: cache/cord-005090-l676wo9t.txt
txt: txt/cord-005090-l676wo9t.txt
summary:
  How to evaluate network immunization strategies? Currently, one of the most popular methods is network immunization where some nodes in a network are immunized (protected) so that they can not be infected by a virus or a worm.


id: cord-028660-hi35xvni
author: Chen, Jie
title: Three-Way Decisions Community Detection Model Based on Weighted Graph Representation
date: 2020-06-10
extension: .txt
mime: text/plain
words: 3634
sentence: 208
flesch: 54
cache: cache/cord-028660-hi35xvni.txt
txt: txt/cord-028660-hi35xvni.txt
summary:
  Fast unfolding of communities in large networks Three-way dicision community detection algorithm based on local group information VGHC: a variable granularity hierarchical clustering for community detection A method for local community detection by finding maximaldegree nodes Finding community structure in very large networks Detecting community structure via the maximal sub-graphs and belonging degrees in complex networks Comparing community structure identification Three-way decision based on non-overlapping community division Method to find community structures based on information centrality Community structure in social and biological networks Complex network clustering by multiobjective discrete particle swarm optimization based on decomposition Information limits for recovering a hidden community An efficient heuristic procedure for partitioning graphs Graph evolution: densification and shrinking diameters Learning to discover social circles in ego networks Semi-supervised community detection based on non-negative matrix factorization with node popularity The emergent properties of a dolphin social network Efficient estimation of word representations in vector space Distributed representations of words and phrases and their compositionality Fast algorithm for detecting community structure in networks Finding community structure in networks using the eigenvectors of matrices Modularity and community structure in networks Finding and evaluating community structure in networks Deepwalk: online learning of social representations An information-theoretic framework for resolving community structure in complex networks Detect overlapping and hierarchical community structure in networks Nonnegative matrix factorization with mixed hypergraph regularization for community detection Three-way decision: an interpretation of rules in rough set theory Three-way decisions with probabilistic rough sets Two semantic issues in a probabilistic rough set model An information flow model for conflict and fission in small groups Hierarchical community detection based on partial matrix convergence using random walks Community detection algorithm based on clustering granulation Acknowledgments. Community structure


id: cord-322746-28igib4l
author: Gosche, John R.
title: Acute, subacute, and chronic cervical lymphadenitis in children
date: 2007-06-06
extension: .txt
mime: text/plain
words: 4727
sentence: 246
flesch: 31
cache: cache/cord-322746-28igib4l.txt
txt: txt/cord-322746-28igib4l.txt
summary:
  The symptoms associated with acute cervical lymphadenitis reflect these pathophysiologic events. Laboratory tests are seldom required as part of the workup for acute cervical lymphadenitis.


id: cord-027178-tqj8jgem
author: Tian, Changbo
title: Modeling of Anti-tracking Network Based on Convex-Polytope Topology
date: 2020-06-15
extension: .txt
mime: text/plain
words: 4302
sentence: 227
flesch: 59
cache: cache/cord-027178-tqj8jgem.txt
txt: txt/cord-027178-tqj8jgem.txt
summary:
  So, an effective maintenance mechanism of network topology guanrantees the robustness and usability of anti-tracking network. With the collaboration of all nodes in anti-tracking network, CPT can achieve the self-optimization of network topology.


id: cord-017062-dkw2sugl
author: Singh, Indu
title: Delivery Systems for Lymphatic Targeting
date: 2013-10-08
extension: .txt
mime: text/plain
words: 9780
sentence: 343
flesch: 31
cache: cache/cord-017062-dkw2sugl.txt
txt: txt/cord-017062-dkw2sugl.txt
summary:
  Colloidal materials, for example, liposomes, activated carbon particles, emulsions, lipids and polymeric particulates, are highly taken up by the lymphatics; that's why nowadays these substances are emerging as potential carriers for lymphatic drug targeting [ 29 ] . Nanocapsules coated with hydrophobic polymers could be easily captured by lymphatic cells in the body, when administered, because the hydrophobic particle is generally recognised as a foreign substance.


id: cord-168862-3tj63eve
author: Porter, Mason A.
title: Nonlinearity + Networks: A 2020 Vision
date: 2019-11-09
extension: .txt
mime: text/plain
words: 11847
sentence: 481
flesch: 43
cache: cache/cord-168862-3tj63eve.txt
txt: txt/cord-168862-3tj63eve.txt
summary:
  Congestion induced by the structure of multiplex networks Tie-decay temporal networks in continuous time and eigenvector-based centralities Multilayer networks in a nutshell Multilayer networks in a nutshell Temporal and structural heterogeneities emerging in adaptive temporal networks Synchronization in complex networks Mathematical frameworks for oscillatory network dynamics in neuroscience Turing patterns in multiplex networks Morphogenesis of Spatial Networks Evolving voter model on dense random graphs Generative benchmark models for mesoscale structure in multilayer networks Birth and stabilization of phase clusters by multiplexing of adaptive networks Network geometry with flavor: From complexity to quantum geometry Chaos in generically coupled phase oscillator networks with nonpairwise interactions Topology of random geometric complexes: A survey Explosive transitions in complex networksÕ structure and dynamics: Percolation and synchronization Factoring and weighting approaches to clique identification Mathematical Models in Population Biology and Epidemiology How does active participation effect consensus: Adaptive network model of opinion dynamics and influence maximizing rewiring Anatomy of a large-scale hypertextual Web search engine A model for the influence of media on the ideology of content in online social networks Frequency-based brain networks: As with other adaptive network models, researchers have developed some nonrigorous theory (e.g., using mean-field approximations and their generalizations) on adaptive voter models with simplistic rewiring schemes, but they have struggled to extend these ideas to models with more realistic rewiring schemes.


id: cord-349724-yq4dphmb
author: Santos, Hugo
title: A Multi-Tier Fog Content Orchestrator Mechanism with Quality of Experience Support
date: 2020-05-06
extension: .txt
mime: text/plain
words: 7211
sentence: 306
flesch: 53
cache: cache/cord-349724-yq4dphmb.txt
txt: txt/cord-349724-yq4dphmb.txt
summary:
  In this article, we introduce a content orchestrator mechanism, called of Fog4Video, which chooses an appropriate fog node to download video content. The closer availability of content enhances delivery of video content in specific regions improving the network by reducing the network load and absolute latency.


id: cord-276178-0hrs1w7r
author: Bangotra, Deep Kumar
date: 2020-07-13
extension: .txt
mime: text/plain
words: 9222
sentence: 485
flesch: 56
cache: cache/cord-276178-0hrs1w7r.txt
txt: txt/cord-276178-0hrs1w7r.txt
title:
  An Intelligent Opportunistic Routing Algorithm for Wireless Sensor Networks and Its Application Towards e-Healthcare

summary:
  The constraint of energy in sensor nodes has affected the transmission of data from one node to another and therefore, requires boundless methods, policies, and strategies to overcome this challenge [7] . The constraint of energy in sensor nodes has affected the transmission of data from one node to another and therefore, requires boundless methods, policies, and strategies to overcome this challenge [7] .


id: cord-319291-6l688krc
author: Hung, Chun-Min
title: Alignment using genetic programming with causal trees for identification of protein functions
date: 2006-09-01
extension: .txt
mime: text/plain
words: 8947
sentence: 478
flesch: 47
cache: cache/cord-319291-6l688krc.txt
txt: txt/cord-319291-6l688krc.txt
summary:
  Nonlinear Anal Theory Methods Appl DOI: 10.1016/j.na.2005.09.048 sha: doc_id: 319291 cord_uid: 6l688krc A hybrid evolutionary model is used to propose a hierarchical homology of protein sequences to identify protein functions systematically. Because some novel proteins might align without meaningful conserved domains, maximizing the score of sequence alignment is not the best criterion for predicting protein functions.


id: cord-125089-1lfmqzmc
author: Chandrasekhar, Arun G.
title: Interacting Regional Policies in Containing a Disease
date: 2020-08-24
extension: .txt
mime: text/plain
words: 8626
sentence: 461
flesch: 60
cache: cache/cord-125089-1lfmqzmc.txt
txt: txt/cord-125089-1lfmqzmc.txt
summary:
  We then examine jurisdictional policies, which are regional quarantine policies conducted by multiple, uncoordinated regimes. We have shown that regional quarantine policies are likely to fail unless leakage and delays in detection are limited.


id: cord-285350-64mzmiv3
author: Bhagatkar, Nikita
title: An integrated P2P framework for E-learning
date: 2020-06-29
extension: .txt
mime: text/plain
words: 11385
sentence: 672
flesch: 67
cache: cache/cord-285350-64mzmiv3.txt
txt: txt/cord-285350-64mzmiv3.txt
summary:
  An analysis of the skype peer-topeer internet telephony protocol GENI: a federated test-bed for innovative network experiments Everything you need to know about using zoom Integrated collaborative learning software Skype vs. zoom: which video chat app is best for working from home? Using moodle: teaching with the popular open source course management system On de Bruijn routing in distributed hash tables: there and back again A case study of faculty experience and preference of using blackboard and canvas lms Efficient peer-to-peer lookup based on a distributed trie Broose: a practical distributed hashtable based on the de-Bruijn topology Future internet research and experimentation: the FIRE initiative Project JXTA: a technology overview Insights into PPLive: a measurement study of a large-scale P2P IPTV system Student perception of Moodle learning management system: a satisfaction and significance analysis Educational technology best practices A study of internet instant messaging and chat protocols Canvas LMS course design FORGE toolkit: leveraging distributed systems in elearning platforms Proposal of e-learning system integrated P2P model with clientserver model Stochastic fluid theory for P2P streaming systems A survey on peer-to-peer video streaming systems Graph-theoretic analysis of structured peer-to-peer systems: routing distances and fault resilience Prime: peer-to-peer receiver-driven mesh-based streaming Mesh or multipletree: a comparative study of live p2p streaming approaches Peer-to-peer (P2P) file sharing system: a tool for distance education Viceroy: a scalable and dynamic emulation of the butterfly EDUTELLA: a P2P networking infrastructure based on RDF MioStream: a peer-to-peer distributed live media streaming on the edge P2P networking: an information sharing alternative A survey on decentralized online social networks The Bittorrent P2P file-sharing system: measurements and analysis Integrating EduLearn learning content management system (lcms) with cooperating learning object repositories (LORs) in a peer to peer (P2P) architectural framework Vyapthi: a leveraged P2P content sharing platform for distributed e-learning systems A scalable content-addressable network Pastry: scalable, decentralized object location, and routing for large-scale peer-to-peer systems Measurement study of peer-to-peer file sharing systems Chord: a scalable peer-to-peer lookup protocol for internet applications The scalability of swarming peer-to-peer content delivery The piazza peer data management project Peer-to-peer gradient topologies in networks with churn Duolingo effectiveness Load balancing in P2P video streaming systems with service differentiation Towards the multi-request mechanism in pull-based peer-to-peer live streaming systems Coolstreaming/DONet: a data-driven overlay network for peer-to-peer live media streaming Tapestry: a resilient global-scale overlay for service deployment Any user may comment on annotated material, setup a live video chat with other peers sharing a whiteboard alongside.


id: cord-022561-rv5j1201
author: Boes, Katie M.
title: Bone Marrow, Blood Cells, and the Lymphoid/Lymphatic System
date: 2017-02-17
extension: .txt
mime: text/plain
words: 52302
sentence: 2530
flesch: 38
cache: cache/cord-022561-rv5j1201.txt
txt: txt/cord-022561-rv5j1201.txt
summary:
  Production and turnover of blood cells are balanced so that numbers are maintained within normal ranges (steady-state kinetics) in healthy individuals. (note: Some parasites may infect blood cells, such as Hepatozoon organisms within circulating neutrophils or monocytes or Bartonella organisms within erythrocytes, but mainly cause disease in other body systems and are therefore not discussed in this chapter.)


# url

id: cord-034824-eelqmzdx
domain: github.com
url:
  https://github.com/yangliangwei/influential-nodes-identification-in-complex-networksvia-information-entropy


# ent

id: cord-306727-2c1m04je
sid: 89
eid: 1
type: DATE
entity:
  1 1 1 1 10 9 9 3 1 1 9 9 2 2 2 1 8 7 10 3 2 2 7 8 3 2 3 1 9 7 11 3 2 1 6 7 4 2 4 2 5 6 12 3 3 2 6 6 5 2 4 1 5 5 13 3 3 1 6 6 6 2 5 2 4 5 14 3 4 2 5 6 7 2 5 1 4 5 15 3 4 1 5 5 8 3 1 2 8


id: cord-322890-w78tftva
sid: 339
eid: 3
type: ORG
entity:
  ferrets anatomia ultrassonográfica dos linfonodos abdominais de furões europeus hígidos ultrasonography


