quadgram

This is a table of type quadgram and their frequencies. Use it to search & browse the list to learn more about your study carrel.

quadgram	frequency
is the number of	42
on the other hand	38
red pulp vascular spaces	36
the number of nodes	32
the total number of	31
in the bone marrow	29
in the case of	28
the nodes in the	25
it is important to	24
number of infected nodes	24
in dogs and cats	23
the size of the	21
at the same time	21
the red pulp vascular	20
one of the most	20
of nodes in the	19
nodes in the network	19
in the form of	18
as shown in fig	17
it can be seen	17
the proposed or protocol	16
large b cell lymphoma	16
the performance of the	16
that is to say	15
the number of infected	15
spray and wait algorithm	15
with the help of	15
b and t lymphocytes	14
is the most common	14
number of susceptible nodes	14
of the red pulp	14
if and only if	13
in wireless sensor networks	13
the average degree of	13
can be used to	13
qoe qos under test	13
in the red pulp	13
are shown in table	13
as a result of	13
the number of communities	12
the structure of the	12
and the number of	12
on the basis of	12
in the section on	12
severe acute respiratory syndrome	12
the time to detection	12
of the lymph node	12
the rest of the	12
has been reported in	12
disorders of domestic animals	12
of the voter model	12
a set of nodes	12
nodes in a network	12
the degree of node	12
as the number of	12
from the bone marrow	12
large jejunal lymph node	12
the number of edges	12
can be seen that	12
single large jejunal lymph	11
the spread of infectious	11
number of nodes in	11
the bone marrow and	11
nodes of the graph	11
is the degree of	11
pure red cell aplasia	11
can be found in	11
is a set of	11
denotes the number of	11
of the nodes in	11
the targeted immunization strategy	11
spread of infectious diseases	11
binary spray and wait	11
for the treatment of	11
as well as the	11
of the number of	11
the node with the	11
a large number of	11
with a bloody consistency	11
it is essential to	10
see lymphoid lymphatic system	10
been shown to be	10
the spread of a	10
in the united states	10
the probability of a	10
lymphoma is the most	10
in addition to the	10
is available at www	10
diffuse large b cell	10
potential infection to k	10
of node v i	10
at the time of	10
in this section we	10
is organized as follows	10
of potential infection to	10
is one of the	10
has been shown to	10
the average number of	10
in the context of	10
in opportunistic social networks	10
information on this topic	10
with the increase of	9
for a long time	9
as shown in eq	9
the average path length	9
the length of the	9
nodes within distance k	9
can be seen in	9
on this topic is	9
topic is available at	9
is considered to be	9
of the parameter space	9
with respect to the	9
with strong community structure	9
in big data mobile	9
uniform splenomegaly with a	9
of the spleen and	9
if the number of	9
the sum of the	9
splenic nodules with a	9
this topic is available	9
are shown in fig	9
at the end of	9
that the number of	9
big data mobile health	9
influential spreaders in complex	9
upper respiratory tract infection	9
is most important for	9
the small world network	9
evaluate the performance of	9
the lymphoid lymphatic system	9
total number of susceptible	8
of initial infected nodes	8
in the number of	8
process on a network	8
a de bruijn graph	8
that a node is	8
the local importance of	8
of all nodes in	8
networks with community structure	8
of the lymphatic system	8
final number of infected	8
caudal mesenteric lymph nodes	8
to the lymphatic system	8
for wireless sensor networks	8
spreaders in complex networks	8
in spray and wait	8
in the main text	8
the regional lymph node	8
the results of the	8
the final number of	8
as compared to the	8
to regional lymph nodes	8
within the bone marrow	8
the spleen and lymph	8
are part of the	8
when the number of	8
microorganisms and other agents	8
jejunal lymph node was	8
than or equal to	8
is referred to as	8
to the number of	8
paper is organized as	8
each node in the	8
all nodes in the	8
to evaluate the performance	8
in big data environment	8
as shown in figure	8
at each time step	8
rich large b cell	8
to guide the feature	8
training based optimization method	8
with a probability of	8
in the target layer	8
to the other two	8
guide the feature aggregation	8
local importance of nodes	7
complex network representation learning	7
the form of a	7
for learning latent dynamics	7
we can see that	7
a wide range of	7
energy consumption and overhead	7
the lymph node is	7
and pseudo labeled nodes	7
is based on the	7
it is hard to	7
is defined as follows	7
can be described as	7
of influential spreaders in	7
and the lymphoid lymphatic	7
the state of the	7
an increase in the	7
the innate and adaptive	7
the number of the	7
of a lymph node	7
frequency of visits to	7
soft labels to guide	7
is the set of	7
the number of susceptible	7
of the sir model	7
the total distance between	7
in the absence of	7
in big data communication	7
the duration of the	7
a set of influential	7
in the middle of	7
is the total number	7
the probability that a	7
the basic reproduction number	7
spread of a disease	7
p p shared whiteboard	7
an important role in	7
in the marginal sinus	7
average degree of the	7
communities in the target	7
the importance of nodes	7
v i in the	7
it has been shown	7
consumption in the network	7
the number of clusters	7
the distance between the	7
community structure in networks	7
is shown in fig	7
edges in the network	7
total number of infected	7
on the spread of	7
spleen and lymph nodes	7
labels to guide the	7
was not performed in	7
the presence of a	7
the number of doses	7
number of edges in	7
a single large jejunal	7
energy consumption in the	7
to find the optimal	7
dynamical process on a	7
node in the network	7
degree of node v	7
for the spread of	7
in the field of	7
of the most important	7
the diagnosis of lymphoma	7
innate and adaptive immune	7
the bone marrow is	7
t x and f	6
to the regional lymph	6
based on random walks	6
of edges in the	6
for most of the	6
are summarized in table	6
the states of the	6
data mobile health environment	6
we would like to	6
a part of the	6
in accordance with the	6
the center of the	6
it is possible that	6
the quality of the	6
it is necessary to	6
and the frequency of	6
distantly related protein family	6
learning of social representations	6
in this paper we	6
can be divided into	6
within distance k of	6
feature learning for networks	6
the spray and wait	6
wireless sensor networks is	6
to detection or extinction	6
if there is no	6
the difference between the	6
of the node u	6
scalable feature learning for	6
the outbreak of epidemic	6
online learning of social	6
n is the number	6
than the number of	6
of a causal tree	6
the basis of the	6
and the spread of	6
we find that the	6
model is used to	6
as part of the	6
paths of potential infection	6
the number of links	6
x and f d	6
a dynamical process on	6
the surface of the	6
cervical lymph nodes are	6
infected by an u	6
of the network is	6
the vector representation of	6
the rate at which	6
has been recognized in	6
from the injection site	6
can be used as	6
is important to note	6
and only if the	6
dynamical processes on networks	6
the number of packets	6
th time step in	6
be seen that the	6
nodes in the graph	6
the location of the	6
the enron email network	6
in terms of the	6
time to detection or	6
node v i is	6
along the ventral abdomen	6
the spleen was radiographically	6
results are shown in	6
number of doses per	6
the spread of an	6
splenomegaly with a bloody	6
have been reported in	6
in the presence of	6
of the spleen are	6
of the nodes are	6
the world health organization	6
the nodes of the	6
the maximum number of	6
the time requirement of	6
the case of the	6
in the sections on	6
are summarized in box	6
community detection based on	6
networks with strong community	6
without loss of generality	6
ferrets in this study	6
the jejunal lymph node	6
region of the parameter	6
minimizing the number of	6
of infected nodes in	6
a great number of	6
and red pulp vascular	6
in networks with strong	6
the frequency of detection	6
pulp vascular spaces is	6
the frequency of visits	6
in the network is	6
of the marginal zone	6
the relationship between the	6
in the area of	6
data packets are transmitted	6
proposed or protocol has	6
with a firm consistency	6
the total energy consumption	6
doses per unit time	6
are similar to those	6
to deploy vod services	6
been reported to be	6
compared to the other	6
part of the network	6
way decisions community detection	6
of infected nodes is	6
in the boundary region	6
initial growth rate is	6
of the sensor network	6
nodules with a bloody	5
in the spleen and	5
x and t d	5
identifying influential nodes in	5
bone marrow and blood	5
in the lymph nodes	5
the spleen was hyperechoic	5
when cluster size is	5
lymph nodes can be	5
performance of the model	5
more attention to the	5
the red pulp is	5
central nervous system lymphoma	5
file sharing and searching	5
macrophages in the marginal	5
referred to as the	5
most important for vaccination	5
of this paper is	5
nodes in the bnd	5
as can be seen	5
or equal to the	5
the case of a	5
a large social network	5
in the forwarder list	5
a node is important	5
can be used for	5
the distribution of the	5
be used as a	5
discovery and data mining	5
such that each node	5
is shown in figure	5
on blood smear evaluation	5
in which there is	5
community detection algorithm based	5
bounded paths of potential	5
cervical lymphadenitis in children	5
to the fact that	5
are discussed later in	5
of a node i	5
process of virus propagation	5
disease is characterized by	5
cluster size is equal	5
in the whole network	5
client qoe qos under	5
horses and disorders of	5
in the network are	5
can be applied to	5
mesenteric lymph nodes were	5
the endemic steady state	5
in this work we	5
lifetime of the network	5
equal to the number	5
is given by the	5
degree of a node	5
t x and t	5
the splenic red pulp	5
the spread of information	5
are more likely to	5
the development of the	5
to the rest of	5
may be caused by	5
important than j i	5
the difference of the	5
is composed of a	5
in the liver and	5
dynamics and control of	5
evaluate the efficiency of	5
deploy vod services in	5
from the list of	5
the spleen was considered	5
number of doses is	5
described in detail in	5
the start of the	5
probability of a node	5
of different immunization strategies	5
three or more entities	5
energy of the network	5
at the base station	5
infected individuals of the	5
the topological structure of	5
tracking network based on	5
rfid reader with a	5
of susceptible nodes is	5
the expected outbreak size	5
of nodes in a	5
knowledge discovery and data	5
if the total number	5
the network structure and	5
of dynamical processes on	5
nodes in complex networks	5
takes into account the	5
shows the relationship between	5
labeled and pseudo labeled	5
granularity complex network representation	5
the number of contacts	5
than nn and dht	5
important for influence maximization	5
the effects of the	5
in networks with community	5
path length of a	5
on the one hand	5
reduced order modeling of	5
was identified in the	5
the adjacency matrix a	5
after each round of	5
to the backend server	5
of doses per unit	5
viral upper respiratory tract	5
as a cause of	5
spread of the disease	5
as long as the	5
a given fog node	5
peripheral t cell lymphoma	5
of the proposed algorithm	5
in this paper is	5
in the study of	5
the cut surface of	5
in detail in chapter	5
node and pnode for	5
a set of edges	5
p percent of nodes	5
a viral upper respiratory	5
is stored in the	5
be seen in the	5
to be able to	5
a regional policy with	5
node v i and	5
node with the highest	5
of a node is	5
maximization in social networks	5
number of nodes is	5
as illustrated in fig	5
individuals of the node	5
is greater than the	5
was based on the	5
see uniform splenomegaly with	5
the initial growth rate	5
the effectiveness of a	5
is characterized by a	5
with the integration of	5
in a large social	5
than j i is	5
of a number of	5
the head and neck	5
discussed in the section	5
the end of the	5
has been shown that	5
is smaller than or	5
are phagocytized by macrophages	5
the process of virus	5
is a result of	5
in the next section	5
small cell lung cancer	5
as shown in table	5
than years of age	5
as a function of	5
number of infected and	5
the spread of disease	5
in the treatment of	5
the mesenteric lymph node	5
lymph node in the	5
learning latent dynamics of	5
its local topology to	5
knowledge of the network	5
with the exception of	5
discussed in more detail	5
labels for each node	5
this is because the	5
relevant for the spread	5
i is the number	5
later in the chapter	5
of horses and disorders	5
detection algorithm based on	5
overlapping communities in the	5
a regional policy works	5
a decrease in the	5
node v i in	5
the voter model on	5
of node conductance is	5
severe combined immunodeficiency disease	5
the integration of iot	5
an interactive email model	5
and the cut surface	5
doses are used up	5
three aspects of importance	5
bone marrow storage pool	5
we found that the	5
of the spleen is	5
as well as other	5
the one ferret with	5
the hepatic lymph nodes	5
to that of the	5
number of stall events	5
the number of available	5
lymph nodes may be	5
input and output vectors	5
important to note that	5
the fog video mechanism	5
is dependent upon the	5
of the random network	5
smaller than or equal	5
community detection in networks	5
for the sauir model	5
is used as a	5
disorders of horses and	5
a sequence of networks	5
dysfunction responses to injury	5
can be infected by	5
e chapter bone marrow	5
the effect of vaccination	5
the goal of this	5
cloud qoe qos under	5
of the white pulp	5
have been shown to	5
is due to the	5
the effect of community	5
of the paper is	5
as well as to	5
concentrations of blood cells	5
and adaptive immune responses	5
opportunistic routing algorithm for	5
nodes in the boundary	5
average path length of	5
to a set of	4
to an rfid reader	4
shown to be an	4
the primary rfid reader	4
is about ft when	4
it is possible to	4
been reported in horses	4
average degree of infected	4
in the degree distribution	4
tend to be more	4
at time step t	4
in the pediatric age	4
closely related to the	4
training validating parameter instances	4
was hyperechoic to the	4
may also contribute to	4
and the sequence number	4
of these networks are	4
for the case of	4
immunization strategy on epidemic	4
nodes are able to	4
to suppress the epidemic	4
the three aspects of	4
is defined as the	4
an example of a	4
and other agents are	4
a path of potential	4
node based on the	4
on the surface of	4
the degree of the	4
in of the ferrets	4
nodes and or edges	4
there is also a	4
energy consumption after each	4
see splenic nodules with	4
should be sent for	4
energy consumption for the	4
dynamics in complex networks	4
task of predicting the	4
in the same community	4
to a new node	4
the doses are used	4
data packet to the	4
defense mechanisms used by	4
sections on disorders of	4
all nodes in its	4
temperature of the air	4
of each node in	4
degree of the network	4
a crucial role in	4
influence maximization and vaccination	4
the set of nodes	4
improve the generalization performance	4
cells of the monocyte	4
in a number of	4
be the number of	4
stored in the cloud	4
the proposed framework for	4
j for each j	4
we propose a new	4
centrality in social networks	4
of entry used by	4
as we can see	4
probability per unit time	4
walls of the red	4
the sections on disorders	4
nodes of degree k	4
acute respiratory syndrome coronavirus	4
interact with each other	4
i j being a	4
reduced function rfid reader	4
of the effectiveness of	4
the outcome of the	4
that it is not	4
propagation and immunization strategies	4
the parameters are set	4
on routine blood smear	4
f the node has	4
vaccinate all the susceptible	4
of the targeted immunization	4
labels for unlabeled nodes	4
up to of all	4
of node u in	4
itself against microorganisms and	4
of the spleen in	4
in the network and	4
f is equal to	4
the destination node d	4
abdominal ultrasonography was performed	4
a direct descendant of	4
nodes with respect to	4
the generalization performance of	4
two nodes in the	4
computer networks and populations	4
reduce energy consumption and	4
of the marginal sinus	4
can work for longer	4
areas of the spleen	4
a specific type of	4
nodes in its range	4
used by microorganisms and	4
the final route was	4
it can be observed	4
entropy of predictions on	4
the strength of the	4
and other agents and	4
for the implementation of	4
data from potential attacks	4
important for sentinel surveillance	4
cytology or histopathology was	4
average number of contacts	4
the treatment of acute	4
with a higher probability	4
von willebrand disease is	4
of nodes that are	4
protocol has a good	4
to protect itself against	4
immunization strategies for computer	4
the single large jejunal	4
of predictions on unlabeled	4
in complex networks with	4
spleen was hyperechoic to	4
at time t is	4
the same number of	4
edge between two nodes	4
independently with probability p	4
identifying influential spreaders in	4
be found in the	4
of the proposed framework	4
betweenness strategy will select	4
the states of nodes	4
number of available doses	4
one of the two	4
from source node s	4
in the frame of	4
the initial network topology	4
to years of age	4
structure of the network	4
the accuracy of the	4
each node sends uniform	4
in or quit the	4
by the number of	4
aggregation via attention mechanism	4
in order to observe	4
phrases and their compositionality	4
than that of the	4
the spleen and abdominal	4
of the nodes have	4
reduce the number of	4
strategies for computer networks	4
the university email network	4
of b and t	4
of a node v	4
branches of the central	4
at the level of	4
graph convolutional neural networks	4
of the network to	4
does not have a	4
infections past distance k	4
the marginal sinus and	4
proposed or protocol was	4
to the destination node	4
at a given time	4
at the start of	4
of energy optimization in	4
implementation of control strategy	4
node in n k	4
method based on variable	4
pseudo labels for unlabeled	4
levels of security algorithms	4
cells in the bone	4
the primary site of	4
of the adjacency matrix	4
children with cervical lymphadenopathy	4
of each node is	4
due to iot integration	4
of a node in	4
about ft when cluster	4
of severe acute respiratory	4
system are summarized in	4
the performance of our	4
small world network is	4
the vitality of the	4
science foundation of china	4
of the data sets	4
the spread of diseases	4
n i is the	4
for testing parameter instances	4
the fitness function of	4
can be seen as	4
at the injection site	4
length of a network	4
out of its energy	4
in the second ferret	4
spleen and abdominal lymph	4
the bone marrow or	4
on the amount of	4
and disorders of dogs	4
the diameter of the	4
to the degree of	4
the regional lymph nodes	4
the proposed clustering approach	4
representation of all nodes	4
associated t cell lymphoma	4
reproductive and respiratory syndrome	4
the follow links strategy	4
lymphoma was confirmed in	4
policy of distance k	4
susceptible and infected individuals	4
p denotes the reduced	4
nodes selected by enrenew	4
in order to achieve	4
more similar by using	4
length of the delay	4
deterministic and stochastic algorithms	4
lymphoma was identified in	4
finding community structure in	4
pick a random node	4
effectiveness of vaccination strategies	4
and splenic red pulp	4
of lymphocytes in the	4
to be an effective	4
nodes of the same	4
the respiratory or close	4
agents and substances to	4
there is an edge	4
qoe of delivered videos	4
primary central nervous system	4
no delay in detection	4
may also occur with	4
the number of surfaces	4
is the adjacency matrix	4
entry used by microorganisms	4
node conductance is the	4
where n is the	4
r p denotes the	4
caused by a viral	4
or protocol has a	4
degree of infected nodes	4
occurs in dogs and	4
the diameter of an	4
is determined by a	4
lymph node was identified	4
where t is the	4
of the population is	4
disseminated intravascular coagulation is	4
by the respiratory or	4
is defined as where	4
of node i is	4
of a node to	4
are the most common	4
contracted areas of the	4
the effectiveness of vaccination	4
strategy on epidemic spreading	4
for a causal tree	4
in big data opportunistic	4
total energy consumption after	4
lymph nodes in ferrets	4
of the most popular	4
the evolution of the	4
best individuals of subpopulation	4
one of two states	4
t and b lymphocytes	4
is implemented as follows	4
services in a given	4
that is independent of	4
on disorders of horses	4
to train slgat on	4
nodes with the same	4
i j for each	4
words and phrases and	4
improve the performance of	4
and random walk dynamics	4
the source node s	4
in the local database	4
must emigrate into subpopulation	4
the weighted graph representation	4
consumption after each round	4
as soon as the	4
the spleen may be	4
on weighted graph representation	4
a content orchestrator mechanism	4
the cervical lobes are	4
distance k from the	4
largest reduction in infectious	4
features of the network	4
i f the node	4
red blood cell mass	4
round was termed as	4
the paper is organized	4
evaluation of the spleen	4
drainage from the injection	4
in the formation of	4
is the probability of	4
with multiple type nodes	4
for a range of	4
in to of cases	4
being a direct descendant	4
social networks identifying influential	4
between the optimal nodes	4
is used to monitor	4
for the first time	4
correspondence matrix for a	4
all the doses are	4
for computer networks and	4
denotes the set of	4
for the traditional approach	4
the university of pennsylvania	4
of severe combined immunodeficiency	4
and wait algorithm is	4
nodes with degree d	4
stands for the fraction	4
the objective is to	4
of the proposed approach	4
the functions of the	4
descendant of i j	4
spread of an infectious	4
for a given network	4
network structure and the	4
value of node v	4
defined as follows where	4
most children with cervical	4
in the center of	4
of the network structure	4
based on weighted graph	4
id k from p	4
proposed in this paper	4
nodes is equal to	4
two levels of security	4
of the network and	4
with the use of	4
the shape of the	4
of nodes is equal	4
for each time unit	4
and substances to access	4
greedy and random mechanisms	4
make the two nodes	4
by microorganisms and other	4
of the importance of	4
for vaccination and sentinel	4
distributed representations of words	4
and abdominal lymph nodes	4
nodules with a firm	4
figure shows the relationship	4
the selection of a	4
later in this chapter	4
all infections past distance	4
soft labels for each	4
in the previous section	4
intervals follow a power	4
matrix for a causal	4
representations of temporal networks	4
become one of the	4
the number of neighbors	4
the beginning of the	4
the goal is to	4
in such a way	4
in one of two	4
is represented as a	4
the input and output	4
different immunization strategies and	4
for the fraction of	4
ft when cluster size	4
node i is the	4
in complex networks by	4
rest of the paper	4
without knowledge of the	4
the best streaming unit	4
are all based on	4
cervical lymphadenopathy in children	4
the betweenness centrality method	4
is determined by the	4
infected nodes over time	4
lymph nodes were identified	4
basic reproduction number r	4
on random graphs with	4
anemia of chronic disease	4
affects the spread of	4
between i and j	4
other agents and substances	4
based on variable granularity	4
vod services in a	4
that the proposed method	4
portals of entry used	4
is likely to be	4
substances to access the	4
a node is the	4
performance of the proposed	4
can be seen from	4
against microorganisms and other	4
compare different immunization strategies	4
strategy is implemented as	4
may be seen in	4
packet sequence numbers are	4
influence maximization in social	4
porcine reproductive and respiratory	4
the minimum number of	4
efficient immunization strategies for	4
a condition known as	4
denote the number of	4
an edge between two	4
representations of words and	4
a small number of	4
findings in this ferret	4
based optimization method to	4
and the proposed protocol	4
importance of nodes in	4
a distantly related protein	4
vaccination and sentinel surveillance	4
the effectiveness of the	4
that of the random	4
ratio of initial infected	4
set of influential nodes	4
of words and phrases	4
i and v j	4
in order to obtain	4
when the energy of	4
the temperature of the	4
protect itself against microorganisms	4
scale information network embedding	4
the set of edges	4
via the lymphatic vessels	4
of i j for	4
multilayer representations of temporal	4
the contact network relevant	4
pulp vascular spaces and	4
virus propagation and immunization	4
structure and attribute information	4
random graphs of different	4
forward the data packet	4
in the lymph node	4
degree of node i	4
a node in the	4
dynamics on virus propagation	4
direct descendant of i	4
an intelligent opportunistic routing	4
in more detail later	4
in which there are	4
represents the set of	4
an edge with v	4
of infected nodes over	4
times the diameter of	4
the highest battery level	4
be divided into two	4
network is generated as	4
of an infectious disease	4
this paper is to	4
cellular automata on graphs	4
in dogs and horses	4
the task of predicting	4
in the lymphatic system	4
the energy efficiency of	4
iteration of the voter	4
join in or quit	4
predict the epidemic threshold	4
j being a direct	4
the rich club phenomenon	4
lack of antigenic stimulation	4
the probability per unit	4
on a network is	4
importance of a node	4
i in the graph	4
in which the spleen	4
de bruijn graph is	4
reduction in infectious edges	4
the dynamics of epidemic	4
in order to make	4
have been extensively used	4
random walk dynamics in	4
the dynamics of epidemics	4
take advantage of the	4
of asymptomatic infection on	4
a node is a	4
both node and pnode	4
the average degree is	4
to evaluate the efficiency	4
has been described in	4
time requirement of network	4
is associated with a	4
the label information of	4
discussed in detail in	4
the connectivity of the	4
node sends uniform number	4
marrow and blood cells	4
infectious diseases of humans	4
the implementation of control	4
a link to a	4
are the innate and	4
in the real world	4
the spread of the	4
other agents are the	4
the dynamics of the	4
the cervical lymph nodes	4
to the diameter of	4
feature aggregation via attention	4
the full network structure	4
randomly choose one of	4
of the bone marrow	4
the efficiency of different	4
the course of the	4
plasma cells in the	4
the results are promising	4
of visits to each	4
agents are the innate	4
an appropriate fog node	4
the afferent lymphatic vessels	4
node v k with	4
v i and v	4
human dynamics on virus	4
nodes based on the	4
the qoe of delivered	4
be infected by an	4
we know that the	4
the effects of a	4
greater than the number	4
the number of stalls	4
of node v k	4
between smart nodes and	4
the time between the	4
centrality and network flow	4
path of potential infection	4
is generated as follows	4
and phrases and their	4
a data packet to	4
networks are shown in	4
nodes with the highest	4
method to train slgat	4
and r might become	4
the feature aggregation via	4
all the other methods	4
to the renal cortices	4
on both labeled and	4
the entropy of predictions	4
b or t lymphocyte	4
in the sir model	4
sends uniform number p	4
the pediatric age group	4
in clinically healthy ferrets	4
in this ferret included	4
a small amount of	4
the diagnosis can be	4
cpu and memory utilisation	4
the bone marrow storage	4
extremity of the spleen	4
used to evaluate the	4
energy efficiency of wsn	4
not performed in this	4
has at least one	4
are shown in figure	4
can achieve the self	4
elapsed between sending the	3
the desired immunization coverage	3
as it happens in	3
is also called as	3
has the span of	3
snapshots of reference solutions	3
radiographic and ultrasonographic findings	3
the change of the	3
of the university of	3
the maximum path length	3
information at the same	3
in the bnd are	3
between sending the packet	3
recognized as a cause	3
of the vaccination strategies	3
influenza a h n	3
life span of the	3
individual in age group	3
taking into account the	3
our goal is to	3
representation and make the	3
the relationship between structure	3
each node i has	3
between structure and random	3
set of all nodes	3
and make the two	3
the initially infected node	3
the ranking of nodes	3
data transmission routing algorithm	3
the cut surface is	3
within distance k h	3
to person by the	3
person to person by	3
on different levels of	3
may also be present	3
abdominal lymph nodes in	3
of a regenerative response	3
are given in section	3
a descendant in n	3
fail to respond to	3
on epidemic spreading in	3
a special type of	3
order to observe the	3
most common form of	3
length less than m	3
the packets to be	3
deep learning framework for	3
does not depend on	3
congenital immunodeficiency diseases are	3
is mainly distributed in	3
for which n k	3
the same community as	3
lesions were present in	3
when cs is equal	3
the importance of a	3
in this study were	3
of disseminated intravascular coagulation	3
in the capsule and	3
whether a regional policy	3
generate new pseudo labels	3
of associated diseases have	3
calculation of node conductance	3
to keep the convex	3
in final sizes for	3
it is characterized by	3
the knowledge of the	3
is the presence of	3
a uniform time step	3
and reduced monetary cost	3
elevated erythrocyte sedimentation rate	3
if it is possible	3
hypertextual web search engine	3
the fraction of nodes	3
to destination node d	3
can be defined as	3
increasing the number of	3
by a random walk	3
of epidemic could be	3
count the total number	3
the sauir model is	3
based on information entropy	3
in directed complex networks	3
the importance of the	3
works if and only	3
office of the provincial	3
that each node in	3
nodes construct a circuit	3
the average value of	3
nature of the wireless	3
authors declare that they	3
between the solution of	3
one can also use	3
layered community structure is	3
be in one of	3
to an increase in	3
in order to better	3
that the spreading speed	3
of the three methods	3
a single trajectory with	3
efficiency of network self	3
its active reduced form	3
nodes have the same	3
of the multiple fitness	3
the proposed p p	3
the controller computes the	3
structure and random walk	3
then a regional policy	3
concentration of lymphocytes in	3
the remainder of this	3
lymph nodes in the	3
the epidemic threshold of	3
of the data set	3
the dot product of	3
removing some special nodes	3
different content orchestrator mechanisms	3
epidemic thresholds for the	3
on the structure of	3
to generate a triangle	3
number of epochs as	3
lots of small communities	3
the number of immature	3
at a particular time	3
of the transmission rate	3
osn traces into lots	3
it is not a	3
with a set of	3
hotspots and cold spots	3
overlap between the optimal	3
and the bone marrow	3
of nodes from the	3
a network with a	3
see bone marrow and	3
of the underlying graph	3
parts of the network	3
the extended modularity value	3
in smaller final sizes	3
the values of the	3
goal of this work	3
the shortest paths between	3
it depends on the	3
advances in knowledge discovery	3
be explained by the	3
reader with a limited	3
of the integration of	3
s to destination node	3
the macrophages of the	3
lymphadenitis without a known	3
the transmission rate from	3
node in age group	3
may be due to	3
if the degree of	3
plays an important role	3
the weights for neighborhood	3
be seen in figure	3
the clustering approach is	3
especially in big data	3
with the largest information	3
so that every node	3
total number of nodes	3
walk dynamics in directed	3
shortest path graph attention	3
the individuals in the	3
where d is the	3
all nodes within distance	3
antigen processing and presentation	3
the homogeneous mixing sir	3
data between smart nodes	3
m is the number	3
of infectious diseases and	3
results of the proposed	3
optimization method to train	3
the number of negative	3
in a given fog	3
structure of the underlying	3
sensor networks is always	3
with a limited range	3
in an interactive email	3
is used to describe	3
with degree d is	3
of the central artery	3
our three objective measures	3
reductions in final sizes	3
nodes to the sink	3
that fog video delivered	3
the focus of this	3
as the upper bound	3
and the university email	3
with n j m	3
cause of cervical lymphadenopathy	3
it is desirable to	3
of the decision tree	3
the prior graph attention	3
a set of measures	3
the effects of different	3
descendant in n k	3
the potential relay node	3
m for every j	3
for computing node embeddings	3
vitamin k epoxide reductase	3
more efficient than the	3
and e represents the	3
the cbf algorithm is	3
for the packets to	3
nodes with high local	3
n j m for	3
between drugs and cov	3
of dc energy efficiency	3
designs a situation involving	3
the p p shared	3
has been identified in	3
the transmitted data between	3
as soon as possible	3
node can be infected	3
the feature aggregation of	3
randomly chosen susceptible node	3
the infected individuals of	3
average exhaust air temperature	3
delay in the start	3
and receiving the same	3
factor for each parameter	3
delay for the packets	3
the red pulp of	3
to the extended modularity	3
relationship between structure and	3
is that we can	3
in the start of	3
a particular time step	3
into the pos or	3
was performed in one	3
of the optimal nodes	3
the probability of the	3
each round of packet	3
the node number of	3
can be attached to	3
depends on the underlying	3
marginal sinus and marginal	3
emigrate into subpopulation to	3
regional policy of distance	3
provide adequate coverage for	3
of the dynamics of	3
and compares the result	3
the mathematical theory of	3
for the presence of	3
of the graph to	3
from the source to	3
the efficiency of the	3
the bone marrow are	3
pay more attention to	3
of infected nodes at	3
for peer review of	3
that node i is	3
node s to destination	3
of node v is	3
the transmission rate for	3
on mobile edge computing	3
as the nodes start	3
map of the human	3
of networks and k	3
and diffuse large b	3
hierarchical clustering method based	3
maximum number of epochs	3
to the diagnosis of	3
all the susceptible nodes	3
measures time for fibrin	3
maximum k for which	3
atrophy may result from	3
to the spread of	3
we can see from	3
is often caused by	3
attention to the features	3
the study of complex	3
splenomegaly with splenic nodules	3
fog nodes and clients	3
source should provide adequate	3
the energy of the	3
number of negative samples	3
the cortex and medulla	3
has a descendant in	3
has been reported to	3
from one community to	3
length of the path	3
identified in all ferrets	3
the role of the	3
the influence of the	3
illustrates an example of	3
is in contrast to	3
in order to solve	3
as the fitness function	3
the probability of node	3
lifetime would also be	3
of red and blue	3
cervical lymphadenitis without a	3
every node sends its	3
there is reduction in	3
analyze the effect of	3
the number of its	3
in the voter model	3
tissue opaque structures in	3
largest information entropy and	3
been shown that the	3
umemory u threshold memory	3
and two nodes were	3
of the current node	3
for the analysis of	3
in the gastrosplenic ligament	3
spleen was considered within	3
the data is collected	3
of node a to	3
is important to remember	3
indicates that the outbreak	3
shows experiment results on	3
the fraction of the	3
in the first case	3
that each node has	3
uses soft labels to	3
of delay in the	3
the improved sis model	3
minimum distance is about	3
with new methylene blue	3
extended modularity value of	3
based on random walk	3
we can assume that	3
is less than the	3
intravascular coagulation is a	3
data packets for adtra	3
packet and receiving the	3
and magnetic resonance imaging	3
select the node with	3
overhead and deliver ratio	3
is a consequence of	3
the features closely related	3
is more likely to	3
that are based on	3
it indicates that the	3
but it is not	3
the efficiency of network	3
there is no delay	3
a h n virus	3
to pay more attention	3
uniformly randomly chosen node	3
the behavior of the	3
i j is the	3
in terms of a	3
the network topology and	3
transmitted data between smart	3
within the framework of	3
random and malicious attacks	3
measured as the time	3
rfid readers has three	3
the success of vaccination	3
count the time requirement	3
would also be percent	3
final affected scale on	3
selected according to the	3
there is no need	3
measures of centrality based	3
of three or more	3
for the detection of	3
or the presence of	3
total number of edges	3
to access the lymphoid	3
better performance in network	3
may also result in	3
time for fibrin clot	3
time step t is	3
effective data packets for	3
well transform the global	3
of infected and susceptible	3
the final epidemic size	3
of cervical lymphadenopathy in	3
there is a probability	3
compares the result with	3
in the enron dataset	3
weights for neighborhood aggregation	3
the research of the	3
it is considered an	3
and there is no	3
p r data packets	3
with the results of	3
half of the nodes	3
receiving the same at	3
centrality of a node	3
task is reading the	3
from source nodes to	3
data packets from source	3
hyperplasia in the bone	3
encouraging as it indicates	3
mechanisms used by the	3
can be associated with	3
not take into account	3
for the selection of	3
the vast majority of	3
there are at least	3
in mobile social networks	3
complement membrane attack complex	3
to select effective data	3
results show that the	3
targeted immunization strategy is	3
the highest edge betweenness	3
ought to be the	3
order structures in networks	3
of the new data	3
small communities by removing	3
the set of all	3
a randomly chosen susceptible	3
and the effect of	3
nodes according to the	3
most important for sentinel	3
is discussed in the	3
n new unlinked nodes	3
with a uniform time	3
involved nodes are usually	3
number of edges is	3
train slgat on the	3
node i has an	3
the epidemic thresholds for	3
as pale mucous membranes	3
the collected data to	3
the matrix p k	3
connected to each other	3
in ferrets in which	3
identifying a set of	3
number of nodes that	3
networks is dependent upon	3
generalized largest reduction in	3
the spreading speed of	3
information from multiple modalities	3
the new data is	3
in the limit of	3
the caudal mesenteric lymph	3
as it indicates that	3
as ileocolic lymph nodes	3
the capsule and trabeculae	3
t lymphocytes in the	3
the hash of the	3
this paper focuses on	3
as the mesenteric lymph	3
dynamics in directed complex	3
decreased concentrations of blood	3
remove p percent of	3
most commonly diagnosed in	3
health care monitoring applications	3
been described in dogs	3
of the same type	3
lymph node is a	3
number of operations performed	3
media and document files	3
due to the high	3
the number of training	3
the red pulp macrophages	3
throughout the parameter space	3
the provincial health officer	3
arises in the bone	3
subfigure shows experiment results	3
a mild to moderate	3
tend to have an	3
to achieve energy efficiency	3
data into its tag	3
of coupled kuramoto oscillators	3
to achieve this goal	3
ucpu u threshold cpu	3
the level of l	3
cutaneous t cell lymphoma	3
cervical lymphadenopathy is a	3
k for which n	3
with different groups of	3
sum of the probability	3
and in the sections	3
we train the framework	3
node is important if	3
the discretized voter model	3
the ventral abdomen in	3
the lymphatic system has	3
and regional lymph nodes	3
state of each cell	3
most often of t	3
we focus on the	3
has been employed to	3
a few days before	3
toward the base station	3
it is also possible	3
the reliability of the	3
the lymph nodes are	3
at least one descendent	3
outbreak of epidemic could	3
in and out strengths	3
caused by felv infection	3
lymph nodes are enlarged	3
b cell lymphoma is	3
adjacency matrix a and	3
two different types of	3
from one node to	3
a fixed number of	3
the diameter of a	3
a method for stochastic	3
for fibrin clot formation	3
that the outbreak of	3
of the provincial health	3
v n is a	3
features closely related to	3
number of the shortest	3
reached at the destination	3
which has the highest	3
cases in which the	3
adtra and bs w	3
and one of the	3
are given in appendix	3
figure depicts snapshots of	3
this paper can be	3
in the lumbar spine	3
adequate coverage for both	3
resource allocation vector r	3
k and threshold x	3
similar to that of	3
in a social network	3
for influence maximization in	3
until all the doses	3
a fog node to	3
on an adaptive network	3
independent of node v	3
intelligent opportunistic routing protocol	3
lymph nodes are the	3
and let x be	3
portals of entry to	3
is responsible for collecting	3
is assumed to be	3
for the diagnosis of	3
contributions of this paper	3
waiting intervals follow a	3
same community as the	3
with a probability tending	3
aggregation of neighboring nodes	3
between drugs and human	3
fibrin clot formation after	3
the dynamic energy consumption	3
start operating in the	3
the previously reported mean	3
play an important role	3
is of great significance	3
bacterial cervical lymphadenitis without	3
with the maximum number	3
of t lymphocyte origin	3
transmit the disease to	3
as a carrier for	3
j m for every	3
and lymph nodes in	3
modularity value of each	3
which is one of	3
round of packet transmission	3
types of network structures	3
in networks is to	3
carriers to lymph nodes	3
one of the following	3
width of the middle	3
different groups of nodes	3
cranial mesenteric lymph node	3
and weighting approaches to	3
not part of the	3
computes the hash of	3
lymphadenitis is caused by	3
is used to obtain	3
as it can be	3
vector representation of all	3
have shown that the	3
appearing in the same	3
varying from small to	3
from the forwarder list	3
a potential forwarder node	3
susceptible nodes with degree	3
network based on cpt	3
temporal and static networks	3
the area of the	3
to be reached at	3
the middle of the	3
both cpu and memory	3
email network which is	3
the sentinel surveillance problem	3
the random walk centrality	3
the upper limit of	3
the number of times	3
it is also a	3
network lifespan would start	3
acute bacterial cervical lymphadenitis	3
using frequency of appearing	3
diameter of an rbc	3
than spray and wait	3
of the complex network	3
in binary spray and	3
v is a set	3
of cystic lymph nodes	3
whether the spleen is	3
is the most central	3
an analysis of the	3
qoe for vod services	3
one node to another	3
how community structure affects	3
is the sum of	3
a node v i	3
hyperechoic to the liver	3
with node and pnode	3
node u belongs to	3
in the development of	3
present in one ferret	3
node in a network	3
choose one of the	3
for nodes and nodes	3
the network topology in	3
needle aspiration and culture	3
appropriate fog node to	3
is proportional to the	3
as the time elapsed	3
of entry to the	3
as explained in section	3
of operations performed on	3
v and v is	3
at the previous time	3
of red blood cell	3
the second most common	3
data is stored in	3
was considered within incidental	3
the community structure of	3
play a big role	3
of mbps for transcoding	3
in age group j	3
effectiveness of the proposed	3
is discussed in more	3
the previous time step	3
the probability of an	3
and there is a	3
have the highest edge	3
spreading speed of epidemic	3
of measures of centrality	3
which has the span	3
set of nodes v	3
number of packets received	3
source nodes to the	3
the pos or neg	3
of the gastrointestinal tract	3
to learn the low	3
main portals of entry	3
the energy consumption in	3
unlinked nodes with index	3
communication in wireless sensor	3
lymphoid tissue of the	3
focus of this paper	3
within the red pulp	3
to the case of	3
this can come from	3
and the states of	3
no conflict of interest	3
time elapsed between sending	3
national natural science foundation	3
are defined as follows	3
of the algorithm is	3
the pagerank citation ranking	3
to be the most	3
one of the nodes	3
have been identified in	3
the random and meta	3
take into account the	3
neural ordinary differential equations	3
let x be any	3
of lymphoma in ferrets	3
number of times that	3
in a random walk	3
the final size of	3
the network lifetime would	3
used to measure the	3
and cascade growth prediction	3
cost to deploy vod	3
the probability of observing	3
large b cell lymphomas	3
anonymous reviewers for their	3
that minimizes the mse	3
occurs as a result	3
of nodes selected by	3
x for peer review	3
it is likely that	3
vector representation and make	3
network lifetime would also	3
the h n pandemic	3
on various network topologies	3
same number of nodes	3
is also possible that	3
routing protocol for wireless	3
issues and challenges in	3
to the features closely	3
of the disease and	3
can be in one	3
distance k of i	3
greedy method is usually	3
the average of the	3
are most important for	3
denotes the node number	3
are at least x	3
the network is percent	3
the number of delivered	3
liver and bone marrow	3
the largest information entropy	3
and then they can	3
and the efficiency of	3
of the middle cross	3
the most common form	3
regional policy with a	3
within one community is	3
was the most common	3
in the concentration of	3
with a history of	3
each cell stands for	3
assessment in multiplex networks	3
less than year of	3
with the shared key	3
of cervical lymphadenitis in	3
and network flow betweenness	3
property of the realworld	3
into the subcapsular sinus	3
transform the global structure	3
enhance the epidemic threshold	3
a bad reasoner node	3
have been reported to	3
treatment of acute bacterial	3
are not fully correlated	3
of lymphocytes in blood	3
myeloblasts and blast equivalents	3
order to make the	3
of the neoplastic cells	3
and data mining doi	3
margins of the spleen	3
i has a descendant	3
released from the bone	3
also be caused by	3
neighborhood of node i	3
there is hyperplasia of	3
findings in ferrets with	3
performed in this ferret	3
local topology to keep	3
susceptible nodes is smaller	3
to find the probability	3
nodes are removed from	3
canine and feline parvovirus	3
lymphatic vessels to the	3
lymph nodes may also	3
the study of the	3
epidemics in populations with	3
is no delay in	3
that they have no	3
ventral extremity of the	3
attribute information and the	3
in age group i	3
a node i is	3
of the probability that	3
epidemic could be delayed	3
always from source nodes	3
tracheobronchial lymph nodes in	3
is the average degree	3
so that they can	3
to provide vod services	3
into one of the	3
the topology of the	3
a single set of	3
a i is the	3
is located in the	3
anatomy of a large	3
iron deficiency anemia is	3
result with the signature	3
pandemic influenza h n	3
the basic reproductive number	3
from the initially infected	3
proliferation of b lymphocytes	3
ferrets in which the	3
this work is to	3
that arise from the	3
adtra is less than	3
consider a sequence of	3
a few lax jurisdictions	3
on the idea of	3
the number of stall	3
each node in n	3
of the fog nodes	3
in the spread of	3
the smart node components	3
benefit from unlabeled data	3
in the clustering approach	3
would start to reduce	3
is most common in	3
in an attempt to	3
main goal of this	3
the resource allocation vector	3
natural science foundation of	3
to a certain extent	3
dot product of the	3
that the most efficient	3
it with the shared	3
of the gastric antrum	3
the local transition function	3
upon the energy consumption	3
compared to greedy and	3
during each time step	3
be used for the	3
the boundary region more	3
that are important for	3
of the lymph nodes	3
in table with the	3
i of length less	3
of node v and	3
between pairs of nodes	3
the lymphoid tissues of	3
node reads the tag	3
are the same as	3
of the success of	3
the two nodes in	3
may be seen with	3
is common in ferrets	3
count the number of	3
of macrophages in the	3
after duodenal administration to	3
lymphadenopathy in children cervical	3
the high degree nodes	3
a set of reduced	3
have been used for	3
seen that the proposed	3
value of each layer	3
is much less than	3
is the same as	3
should provide adequate coverage	3
number of nodes to	3
the node with maximum	3
between t x and	3
the treatment of choice	3
contact network relevant for	3
in this study may	3
all nodes of the	3
the covariance matrix of	3
how network structure affects	3
unlike the prior graph	3
diseases of the spleen	3
packets from source to	3
of nodes have a	3
the same at the	3
least one descendent at	3
the model introduced in	3
order to the web	3
is a response to	3
important to remember that	3
availability data transmission routing	3
compared to other content	3
number of communities in	3
list of predicted drugs	3
for each node based	3
delay in the vaccination	3
networks identifying influential spreaders	3
virus propagation in the	3
than year of age	3
maximizes the likelihood of	3
duodenal administration to rats	3
an opportunistic routing protocol	3
nodes in the area	3
value of node i	3
the osn traces into	3
number of infectious individuals	3
at the target site	3
one community to another	3
sum of the degrees	3
a big role in	3
of the whole network	3
the appearance of the	3
mainly distributed in the	3
to other content orchestrator	3
prior graph attention networks	3
can be very low	3
may also occur in	3
in this study was	3
is proved to be	3
is an autosomal recessive	3
the degrees of immunized	3
the most common malignant	3
in many dog breeds	3
the source node and	3
as one of the	3
order to achieve a	3
is encouraging as it	3
cpu and memory temperatures	3
was present in one	3
the nodes start operating	3
order modeling of nonlinear	3
between chs and cms	3
in complex networks ranking	3
are listed in table	3
effectiveness of a vaccination	3
methods are used to	3
based on a particular	3
in a similar manner	3
u to its neighbor	3
duration of the disease	3
the national natural science	3
outcomes for all jurisdictions	3
of visits to nodes	3
as early as possible	3
has been identified as	3
ferrets of this study	3
a member of the	3
initial number of infectious	3
performed in one ferret	3
gives the details about	3
a new node is	3
influence factor for each	3
cost by up to	3
is selected according to	3
prior to the diagnosis	3
a decreased concentration of	3
be measured as the	3
individuals in the population	3
in the diagnosis of	3
of marginal zone lymphoma	3
with other types of	3
ratio is more than	3
a condition characterized by	3
the intensity of the	3
the same as in	3
lifetime for wireless sensor	3
that the betweenness centrality	3
the problem of energy	3
node which has the	3
the sequence of associated	3
are based on the	3
which there is an	3
between structure and dynamics	3
number of stalls and	3
of networks is growth	3
of behavioral responses on	3
each subfigure shows experiment	3
from small to large	3
can take the form	3
of media and document	3
intravascular hemolytic anemia in	3
willebrand disease is characterized	3
was identified in all	3
presented in this paper	3
create n new unlinked	3
infinitesimal time interval dt	3
in the medullary cords	3
abnormal concentrations of blood	3
based on the idea	3
an outgoing edge to	3
number of contacts in	3
using genetic programming with	3
the performance of network	3
and marrow erythroid hyperplasia	3
the distribution of node	3
community as the weight	3
a different number of	3
close to that of	3
is a function of	3
topological data analysis of	3
such as pale mucous	3
different number of nodes	3
oxidative damage to erythrocytes	3
the case in which	3
the number of individuals	3
reduced by up to	3
other content orchestrator mechanisms	3
to choose the best	3
plays the role of	3
the node of the	3
lifespan would start to	3
of an immunization strategy	3
is associated with the	3
distance between the source	3
is shown in table	3
in a network of	3
based on cellular automata	3
the issue of energy	3
approximately of patients with	3
can also be seen	3
when there is no	3
distance between chs and	3
of a group of	3
lymphoid tissues of the	3
the value of w	3
also called as end	3
node was identified in	3
than that with a	3
growth of the cascade	3
covariance matrix of w	3
for community detection in	3
is the maximum k	3
the result with the	3
the foundation of the	3
same at the base	3
it is important for	3
study was to describe	3
streaming unit based on	3
for the purposes of	3
receiving the join request	3
the expected number of	3
in a network with	3
lymph nodes were not	3
sequence of networks and	3
or more entities in	3
of length less than	3
in order to evaluate	3
a virtual node in	3
efficiency of different immunization	3
infectious diseases in humans	3
packets for adtra are	3
of a stochastic process	3
nodes that are not	3
the characteristics of the	3
can be measured as	3
final sizes than the	3
hash of the new	3
a probability tending to	3
the network lifespan would	3
influential nodes in social	3
n is a set	3
if one wants to	3
sequence of associated diseases	3
is available to detect	3
big data opportunistic network	3
with the highest battery	3
a hyperechoic hilus and	3
in the computationally generated	3
average shortest path length	3
values in the above	3
which is defined as	3
the authors declare that	3
the lymphatic vessels to	3
is that a node	3
to reduce the number	3
transmission of the data	3
one edge between any	3
of an epidemic and	3
feature aggregation of neighboring	3
a node in a	3
time between the first	3
to do the same	3
node sends its packets	3
the pagerank of node	3
to overcome this shortcoming	3
of acute bacterial cervical	3
the medullary sinuses are	3
the number of operations	3
can well transform the	3
given that feature x	3
of susceptible nodes with	3
network lifetime for wireless	3
solve the problem of	3
using de bruijn graph	3
be reached at the	3
immunization strategy is the	3
the neoplastic cells are	3
of subpopulation must emigrate	3
red and blue nodes	3
a left shift is	3
nodes in the forwarder	3
defined as the number	3
distance is about ft	3
the complement membrane attack	3
is also known as	3
end delay for the	3
energy efficiency and reliability	3
to compute the influence	3
of training validating parameter	3
into vector representation and	3
a uniformly randomly chosen	3
person by the respiratory	3
malignant catarrhal fever virus	3
into lots of small	3
vaccination strategies for the	3
data packets to the	3
routing algorithm in mobile	3
animals with acute disease	3
to poor body condition	3
one descendent at distance	3
fitness function of subpopulation	3
a wide variety of	3
a node that becomes	3
a history of recent	3
structure of the graph	3
communities by removing some	3
without a known primary	3
infected and susceptible individuals	3
the network is not	3
from the fact that	3
and human dynamics on	3
neighbors of a node	3
acute unilateral cervical lymphadenitis	3
the problem of the	3
sensor networks is dependent	3
the mandibular lymph nodes	3
there is no path	3
fog video reduces the	3
total energy consumption for	3
fog qoe qos under	3
the maximum k for	3
to a group of	3
in severe cases the	3
compute the influence factor	3
nodes start operating in	3
on the problem of	3
the influence factor for	3
formation after addition of	3
by using frequency of	3
sinus and marginal zone	3
of the splenic capsule	3
visits to each node	3
we find that community	3
bounded away from and	3
the width of the	3
types of dynamical processes	3
by removing some special	3
to a decrease in	3
in out of ferrets	3
sequence of networks is	3
topological structure of the	3
is always from source	3
routing protocol known as	3
until all nodes in	3
at least one of	3
the objective function of	3
slgat on both labeled	3
on random walk centrality	3
static and temporal networks	3
of the model for	3
the lifetime of the	3
given a collection of	3
an r package for	3
size of the spleen	3
mediated hemolytic anemia is	3
delivery of antigens to	3
we remove p percent	3
for each node in	3
frequency of appearing in	3
of neighbors of a	3
set of influential spreaders	3
directly from person to	3
clot formation after addition	3
is often accompanied by	3
computer room air conditioning	3
for a node to	3
a node which has	3
similar by using frequency	3
has also been reported	3
is present in the	3
the best way to	3
the equivalent of the	3
of the ferrets with	3
factoring and weighting approaches	3
is the same for	3
in the parameter space	3
might be useful to	3
a regional policy of	3
often of t lymphocyte	3
train slgat on both	3
of the fog node	3
smart nodes and rfid	3
the backend server for	3
splenic red pulp vascular	3
the average degree in	3
the packet and receiving	3
for each of these	3
the use of quantum	3
bringing order to the	3
community structure in the	3
the b and t	3
the total amount of	3
the sensor nodes are	3
of this work is	3
links between drugs and	3
each node based on	3
can be understood as	3
the future size of	3
have been described in	3
of ordinary differential equations	3
we apply the proposed	3
the smallest number of	3
the communication in wireless	3
the multiple fitness functions	3
the graph on fig	3
to compare different immunization	3
final affected scale f	3
traces into lots of	3
there is at least	3
model introduced in this	3
deliver ratio is more	3
clinical signs referable to	3
have been used to	3
nodes is smaller than	3
networks is always from	3
a random surfer in	3
intermittently connected mobile networks	3
the life cycle of	3
per unit time that	3
on a downstream task	3
less important than j	3
an overview of the	3
smart node consists of	3
from person to person	3
of a vaccination strategy	3
in the fe state	3
and disseminated intravascular coagulation	3
minimizing the entropy of	3
refers to a group	3
individuals of subpopulation must	3
the centroid m i	3
for the outbreak to	3
degrees of immunized nodes	3
a network can be	3
may be the only	3
importance of each node	3
latency can be measured	3
the enron email dataset	3
reticular walls of the	3
all testing parameter instances	3
nodes and rfid readers	3
the initial graph g	3
the mesenteric lymph nodes	3
opaque structures in the	3
in the lamina propria	3
decreased blood concentrations of	3
experiment results on one	3
routine blood smear evaluation	3
the degree of a	3
can lead to an	3
identification of influential spreaders	3
total distance between chs	3
in the traditional approach	3
in the subgraph s	3
to the use of	3
labeled and unlabeled nodes	3
used to find the	3
is close to the	3
and hepatic lymph nodes	3
the whole network into	3
i of the node	3
that the proposed or	3
features of neighboring nodes	3
from a global view	3
be seen as a	3
in knowledge discovery and	3
in the complex network	3
as pointed out in	3
on online social networks	3
to improve the generalization	3
halts all infections past	3
as possible to the	3
efficiently restrain virus propagation	3
the level of conflict	3
may not have been	3
in a ferret with	3
resource availability of mbps	3
adtra deliver ratio is	3
in ferrets with lymphoma	3
similar to those of	3
in the second case	3
the proposed system is	3
influential nodes in complex	3
formalism of simplicial complexes	3
it is evident that	3
of the lymphatic vessels	3
efficiency of network construction	3
and rfid readers has	3
on the type of	3
sizes than the degree	3
of the collected data	3
the nodes with the	3
than the degree method	3
energy efficiency has been	3
homogeneous mixing sir model	3
subpopulation must emigrate into	3
or quit the network	3
the details about the	3
to download the video	3
depending on the duration	3
section we study the	3
the time elapsed between	3
disorders of the spleen	3
the fact that the	3
discussed later in this	3
smaller jejunal lymph nodes	3
of the data packet	3
descendent at distance k	3
an undirected graph g	3
from the marginal sinus	3
region more similar by	3
operating in the network	3
red and white pulp	3
the computationally generated networks	3
a random graph with	3
the degree distribution of	3
the critical value of	3
let the sequence of	3
the initial number of	3
the balanced distribution of	3
controller computes the hash	3
clustering method based on	3
the three objective measures	3
to previously visited nodes	3
and n is the	3
the portal vein and	3
any sequence of networks	3
node with the largest	3
such a way that	3
for predicting protein functions	3
of targeted immunization strategies	3
requirement of network self	3
as an immunized node	3
with high local importance	3
readers has three fields	3
to observe the effect	3
as a special case	3
this leads to a	3
be seen from the	3
to forward the data	3
the average time requirement	3
growth rate is given	3
may be difficult to	3
source node s to	3
in the network that	3
are also known as	3
visible along the ventral	3
be attached to the	3
demand for neutrophils in	3
central and south america	3
than mdor and eeor	3
the same as the	3
the incubation period of	3
in the above equations	3
of relay node selection	3
rfid reader receives all	3
and challenges in current	3
of the three ferrets	3
with the same probability	3
ultrasound image of the	3
path between i and	3
to the bone marrow	3
nodes in social networks	3
are characterized by the	3
medial iliac lymph nodes	3
can be described by	3
probability that a node	3
was selected as the	3
surface of the spleen	3
and may be seen	3
by the fact that	3
given fog node k	3
with an emphasis on	3
study the effect of	3
the optimal nodes for	3
of the injected dose	3
centrality method resulted in	3
node in the walk	3
sln after duodenal administration	3
scale hypertextual web search	3
serous atrophy of fat	3
to solve the problem	3
transmitted directly from person	3
results on one network	3
responsible for collecting the	3
i is the degree	3
final sizes for the	3
create a link to	3
may occur because of	3
in the following section	3
and count the time	3
availability of mbps for	3
of small communities by	3
to identify influential nodes	3