trigram

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

trigram	frequency
the number of	269
in the network	94
based on the	92
nodes in the	85
the bone marrow	83
of the network	77
in order to	75
in this paper	74
a set of	72
as well as	70
of the spleen	66
the spread of	66
one of the	65
of the nodes	60
number of nodes	59
of a node	49
the red pulp	49
in complex networks	47
the case of	45
as shown in	45
the performance of	45
shown in fig	44
due to the	44
the probability of	44
according to the	43
is used to	43
the presence of	43
part of the	42
is the number	42
the most common	41
in this study	41
on the other	41
it can be	40
such as the	39
the lymphatic system	39
of nodes in	38
the other hand	38
there is a	37
the effect of	37
red pulp vascular	37
lymph nodes were	37
the degree of	37
of the graph	37
in a network	36
in this section	36
pulp vascular spaces	36
is the most	36
in dogs and	35
the lymph node	35
of the node	35
number of infected	35
can be seen	35
total number of	34
the dynamics of	34
node in the	34
in the case	34
the nodes in	34
there is no	34
a node is	33
the size of	33
of node v	33
in this work	33
compared to the	33
of infected nodes	33
in terms of	32
spray and wait	32
in big data	32
with respect to	31
for each node	31
the total number	31
we use the	31
wireless sensor networks	31
are shown in	30
the effects of	30
size of the	29
node v i	29
dogs and cats	29
the importance of	29
because of the	29
in the bone	29
as a result	29
in addition to	29
the voter model	28
in the graph	28
the value of	28
lymph nodes are	28
the distribution of	28
the network structure	28
lymph nodes in	27
depends on the	27
also known as	27
shown in figure	27
can be used	27
it is important	27
with the same	27
structure of the	27
in the same	26
of the most	26
of the disease	26
the structure of	26
the set of	26
a number of	26
is important to	26
of a network	26
network representation learning	26
at the same	25
at time t	25
the relationship between	25
the spleen is	25
figure shows the	25
the treatment of	25
nodes in a	25
the fact that	24
a result of	24
nodes of the	24
the average degree	24
lymph nodes and	24
the network is	24
the epidemic threshold	24
to be the	24
community structure in	24
mediated hemolytic anemia	24
to evaluate the	24
the spleen was	23
is based on	23
red blood cell	23
i is the	23
most of the	23
a variety of	23
is defined as	23
de bruijn graph	23
mesenteric lymph nodes	23
of the population	23
and so on	23
the whole network	23
lymphoid lymphatic system	23
the effectiveness of	23
we propose a	23
of the proposed	23
of each node	23
jejunal lymph node	22
the most important	22
with each other	22
the same time	22
in the spleen	22
it is also	22
it has been	22
disseminated intravascular coagulation	22
which is a	22
in the blood	22
the use of	22
performance of the	22
in which the	22
the probability that	22
the efficiency of	22
in the first	22
a regional policy	22
the form of	22
are used to	21
may also be	21
with a probability	21
in case of	21
depending on the	21
cervical lymph nodes	21
of complex networks	21
it is not	21
shown in table	21
the problem of	21
for influence maximization	21
is equal to	21
in response to	21
in social networks	20
if it is	20
node i is	20
is composed of	20
testing parameter instances	20
the marginal sinus	20
been reported in	20
set of nodes	20
in this case	20
referred to as	20
of the data	20
regional lymph nodes	20
the process of	19
of lymph nodes	19
of the epidemic	19
large b cell	19
the lymph nodes	19
a causal tree	19
can lead to	19
may not be	19
is characterized by	19
number of edges	19
in the following	19
some of the	19
t cell lymphoma	19
the frequency of	18
that can be	18
large number of	18
has been reported	18
all nodes in	18
is shown in	18
to each other	18
the concentration of	18
all the nodes	18
the proposed or	18
of the two	18
proposed or protocol	18
the united states	18
at least one	18
different types of	18
in the form	18
of infectious diseases	18
it does not	18
in one ferret	18
nodes that are	18
of the lymph	17
can be found	17
in out of	17
each node in	17
be used to	17
of domestic animals	17
been shown to	17
an rfid reader	17
is that the	17
the sum of	17
the targeted immunization	17
the fraction of	17
in the second	17
of nodes and	17
in cases of	17
nodes can be	17
of susceptible nodes	17
the source node	17
is as follows	17
that a node	17
of the model	17
the development of	17
all of the	17
cells in the	17
is associated with	17
the degree distribution	16
is caused by	16
the proposed approach	16
we can see	16
based on their	16
b cell lymphoma	16
shown to be	16
be seen in	16
has been shown	16
bone marrow and	16
of an epidemic	16
the results of	16
if there is	16
b and t	16
node conductance is	16
to lymph nodes	16
of all nodes	16
that of the	16
the role of	16
within distance k	16
in networks with	16
there are two	16
of node i	16
the data packet	16
the target layer	16
the proposed protocol	16
to find the	16
of nodes is	16
in recent years	16
that are not	16
importance of nodes	16
the rest of	16
is given by	16
the spleen and	16
the parameter space	16
and lymph nodes	16
a group of	16
we define the	16
an increase in	16
the state of	15
and t lymphocytes	15
the results are	15
the network topology	15
the help of	15
we find that	15
shows that the	15
is available at	15
results in a	15
node with the	15
each node is	15
the node with	15
and it is	15
with the help	15
in patients with	15
the sir model	15
the basis of	15
that is to	15
in a graph	15
abdominal lymph nodes	15
there is an	15
in the red	15
that it is	15
the nodes are	15
the amount of	15
influential spreaders in	15
number of susceptible	15
and wait algorithm	15
to determine the	15
it is possible	15
number of communities	15
is to say	15
by using the	15
the base station	15
energy consumption in	15
average degree of	14
on virus propagation	14
that each node	14
the values of	14
the section on	14
number of contacts	14
of the same	14
can also be	14
upper respiratory tract	14
of this paper	14
are summarized in	14
if a node	14
in the section	14
a sequence of	14
the disease is	14
of the three	14
diagnosis of lymphoma	14
in animals with	14
most important for	14
associated with the	14
it is a	14
we set the	14
is less than	14
of the red	14
depend on the	14
the lymphatic vessels	14
is most important	14
based on a	14
the random walk	14
a network of	14
we use a	14
a random walk	14
to learn the	14
that the proposed	14
energy consumption and	14
state of the	14
garcia et al	14
n is the	14
which can be	14
the marginal zone	14
in the lymph	14
the adjacency matrix	14
more than one	14
analysis of the	14
a list of	14
function of the	14
the duration of	14
on a network	14
of the lymphatic	14
related to the	14
the nodes with	14
the study of	13
in most cases	13
in opportunistic network	13
macrophages in the	13
be seen that	13
nodes with a	13
nodes with the	13
to reduce the	13
the rate of	13
network structure and	13
the proposed model	13
number of the	13
the forwarder list	13
is also a	13
there may be	13
large jejunal lymph	13
different immunization strategies	13
qos under test	13
in wireless sensor	13
results of the	13
that there are	13
distance between the	13
we assume that	13
length of the	13
focus on the	13
qoe qos under	13
of blood cells	13
diffuse large b	13
nn and dht	13
the context of	13
mesenteric lymph node	13
influential nodes in	13
if and only	13
and only if	13
the concept of	13
information about the	13
murphy et al	13
years of age	13
degree of node	13
are the most	13
each of these	13
the properties of	13
nodes and the	13
the time to	13
the diameter of	13
a social network	13
the cut surface	13
used as a	13
the list of	13
and may be	13
acute respiratory syndrome	12
in the liver	12
to describe the	12
targeted immunization strategy	12
time to detection	12
was not performed	12
the location of	12
the proposed algorithm	12
severe acute respiratory	12
number of doses	12
the distance between	12
we observe that	12
average number of	12
regional lymph node	12
the difference between	12
knowledge of the	12
are divided into	12
of network topology	12
described in the	12
which may be	12
for a given	12
this is a	12
to the other	12
view of the	12
as the number	12
the optimal nodes	12
between two nodes	12
from the bone	12
cpu and memory	12
but it is	12
understanding of the	12
nature of the	12
increase in the	12
marginal zone lymphoma	12
of nodes that	12
lymph node is	12
and in the	12
seen in the	12
at the time	12
in the model	12
it is essential	12
we study the	12
of community structure	12
lymph node was	12
can be applied	12
of a disease	12
the acquaintance method	12
of the voter	12
leads to a	12
afferent lymphatic vessels	12
immunization strategy is	12
value of the	12
a lymph node	12
the regional lymph	12
rest of the	12
spread of infectious	12
deliver ratio is	12
small world network	12
the splenic capsule	12
voter model on	12
of the process	12
features of the	12
cells of the	12
this paper is	12
epidemic spreading in	12
and the number	12
the states of	12
the white pulp	12
the proposed method	12
have the same	12
the influence of	12
is the total	12
on the basis	12
to be a	12
pale mucous membranes	12
the time of	12
i and j	12
opportunistic social networks	12
to understand the	12
in the dog	12
probability of a	12
the other two	12
as compared to	12
does not have	12
is necessary to	12
the end of	12
is essential to	12
the proportion of	12
in a large	12
disorders of domestic	12
blood smear evaluation	12
to study the	12
is not a	12
it may be	12
similar to the	12
from the network	12
the proposed framework	12
this is the	12
nodes that have	12
they do not	12
the length of	11
a p p	11
on the network	11
with the highest	11
be found in	11
of neighboring nodes	11
single large jejunal	11
more likely to	11
each time step	11
for a node	11
is a set	11
is set to	11
a i j	11
pure red cell	11
the neoplastic cells	11
basic reproduction number	11
defined as follows	11
the formation of	11
likely to be	11
initial infected nodes	11
corresponding to the	11
method based on	11
the p p	11
spread of a	11
used for the	11
adjacency matrix a	11
in the marginal	11
that there is	11
weighted graph representation	11
distribution of the	11
note that the	11
into account the	11
hyperplasia of the	11
the network to	11
present in the	11
average path length	11
of the random	11
with a bloody	11
the integration of	11
is the degree	11
used in the	11
well as the	11
denotes the number	11
such that the	11
and can be	11
associated lymphoid tissue	11
the impact of	11
is due to	11
a node to	11
the absence of	11
a large number	11
we consider a	11
of nodes with	11
the bootstrap server	11
for sentinel surveillance	11
content orchestrator mechanisms	11
a node v	11
a bloody consistency	11
of the number	11
of the monocyte	11
there are no	11
big data environment	11
that the node	11
tend to be	11
per unit time	11
one or more	11
number of clusters	11
the start of	11
is considered to	11
the diagnosis of	11
available at www	11
the average number	11
strong community structure	11
impact on the	11
to improve the	11
with or without	11
on epidemic spreading	11
of the marginal	11
the smart node	11
the outbreak of	11
content orchestrator mechanism	11
the type of	11
of node u	11
to guide the	11
effective data packets	11
evaluate the performance	11
the goal of	11
to the lymphatic	11
data packets are	11
binary spray and	11
t x and	11
the result of	11
macrophages of the	11
degree of the	11
the epidemic spreading	11
t is the	11
the transmission rate	11
a susceptible node	11
have shown that	11
of the thymus	11
red cell aplasia	11
for the treatment	11
types of nodes	10
are able to	10
in all ferrets	10
of cervical lymphadenopathy	10
lymphoma is the	10
in the context	10
with the increase	10
the increase of	10
dynamical processes on	10
addition to the	10
the selection of	10
with community structure	10
for the same	10
can be infected	10
is smaller than	10
be used as	10
of vaccination strategies	10
relationship between the	10
the data set	10
a history of	10
shown that the	10
small number of	10
the nodes of	10
evaluation of the	10
validating parameter instances	10
the data packets	10
see lymphoid lymphatic	10
the liver and	10
in this way	10
may also occur	10
to have a	10
data from the	10
this section we	10
big data mobile	10
caused by a	10
considered to be	10
the quality of	10
a node with	10
in ferrets with	10
a node in	10
time step t	10
mustela putorius furo	10
associated with a	10
node and pnode	10
to that of	10
the ability to	10
defined as the	10
cervical lymphadenitis is	10
lymphocytes in the	10
the small world	10
in contrast to	10
of the parameter	10
in opportunistic social	10
the level of	10
set of edges	10
a long time	10
the same as	10
is common in	10
duration of the	10
between the two	10
on this topic	10
to a node	10
to deal with	10
bone marrow is	10
of potential infection	10
in the paper	10
we consider the	10
in the united	10
in the literature	10
node is a	10
the random network	10
divided into two	10
occur in the	10
lymph node in	10
number of links	10
in this ferret	10
information of the	10
in some cases	10
in domestic animals	10
the simulation results	10
model based on	10
illustrated in fig	10
is one of	10
advantage of the	10
the injection site	10
the boundary region	10
can be described	10
an example of	10
i in the	10
of edges in	10
for a long	10
process on a	10
portals of entry	10
information on this	10
is organized as	10
total energy consumption	10
cervical lymphadenitis in	10
in n k	10
organized as follows	10
infection to k	10
different levels of	10
found in the	10
potential infection to	10
local importance of	10
the data sets	10
are common in	10
the complex network	10
to measure the	10
in a population	10
the causal tree	10
as soon as	10
the surface of	10
this is because	10
to the node	10
node of the	10
nodes based on	9
caudal mesenteric lymph	9
the node is	9
the local importance	9
refers to a	9
was identified in	9
the condition is	9
the production of	9
the lymphoid lymphatic	9
the analysis of	9
the ranking of	9
a lot of	9
if the number	9
to address the	9
v i and	9
virus propagation in	9
be infected by	9
a dynamical process	9
we calculate the	9
characterized by a	9
spreaders in complex	9
the enron email	9
and control of	9
structure in the	9
individuals of the	9
to all the	9
been described in	9
is more than	9
frequency of visits	9
at each time	9
the community structure	9
d is the	9
is not clear	9
network can be	9
as in the	9
of the central	9
is important for	9
have been reported	9
with probability p	9
compared with the	9
a total of	9
resulting in a	9
goal of this	9
sum of the	9
a new node	9
respect to the	9
the area of	9
enlarged lymph nodes	9
as part of	9
relay node selection	9
is a rare	9
in expected value	9
infected nodes is	9
components of the	9
the majority of	9
region of the	9
a fog node	9
of the whole	9
model and the	9
hemolytic anemia in	9
a node i	9
splenic red pulp	9
edges in the	9
delay in the	9
is referred to	9
parts of the	9
in each round	9
nodules with a	9
to compute the	9
have been proposed	9
the choice of	9
of the other	9
by up to	9
areas of the	9
find that the	9
lymphatic vessels and	9
of the following	9
a part of	9
at the end	9
uniform splenomegaly with	9
respiratory tract infection	9
nodes within distance	9
the sauir model	9
effect on the	9
of p p	9
in multiplex networks	9
of the total	9
a single large	9
bounded away from	9
is the same	9
and there is	9
the population is	9
data packets in	9
node based on	9
is seen in	9
data mobile health	9
of lymphoma in	9
secondary lymphoid organs	9
multiple types of	9
node in a	9
is determined by	9
pair of nodes	9
interactive email model	9
the traditional approach	9
the average path	9
may occur with	9
in the study	9
fog node to	9
with strong community	9
in this sense	9
which is the	9
supervised node classification	9
may lead to	9
splenomegaly with a	9
of t lymphocytes	9
each node has	9
this topic is	9
in detail in	9
we show that	9
is an important	9
graph attention networks	9
node can be	9
in lymph nodes	9
difference between the	9
the feature aggregation	9
or equal to	9
shown in eq	9
surface of the	9
to form a	9
the total distance	9
in this chapter	9
is the average	9
equal to the	9
needs to be	9
source node s	9
number of packets	9
each node i	9
case of the	9
are given in	9
based on random	9
has not been	9
in the field	9
goal is to	9
are based on	9
that the number	9
an infected node	9
be able to	9
is responsible for	9
the ratio of	9
a probability of	9
splenic nodules with	9
with the largest	9
is stored in	9
version of the	9
a function of	9
the rfid reader	9
of cpt is	9
values in the	9
each of the	9
of initial infected	9
may result in	9
in which there	9
topic is available	9
properties of the	9
characteristics of the	9
ferrets in which	9
is a common	9
each round of	9
sequence of networks	9
the prevalence of	9
a graph g	9
in the target	9
to keep the	9
for wireless sensor	9
data data packets	8
p p shared	8
the model must	8
the evolution of	8
behavior of the	8
to consider the	8
of bone marrow	8
would like to	8
of this study	8
severe combined immunodeficiency	8
the difference of	8
train slgat on	8
clinically healthy ferrets	8
on random graphs	8
responses to injury	8
is close to	8
microorganisms and other	8
network based on	8
was present in	8
the calculation of	8
the possibility of	8
an important role	8
fog nodes and	8
and bone marrow	8
of a large	8
is discussed in	8
nodes and edges	8
is denoted by	8
pseudo labeled nodes	8
the node u	8
in our experiments	8
for all the	8
been recognized in	8
are discussed in	8
summarized in table	8
temperature of the	8
when a node	8
destination node d	8
v i is	8
number of stalls	8
take into account	8
the collected data	8
on the same	8
path length of	8
the main text	8
where each node	8
of the infection	8
it is the	8
not performed in	8
world health organization	8
to predict the	8
the sequence of	8
the paper is	8
guide the feature	8
ordinary differential equations	8
been reported to	8
the jejunal lymph	8
within the bone	8
to estimate the	8
paper is organized	8
the basic reproduction	8
the total energy	8
the transmission of	8
a network is	8
the disease to	8
in the bnd	8
one of these	8
reported to be	8
if a user	8
of network structure	8
a system of	8
vector representation of	8
concentrations of blood	8
a left shift	8
nodes are usually	8
has been identified	8
and pseudo labeled	8
the mechanism of	8
at a time	8
of the blood	8
the strength of	8
and lymph node	8
when the number	8
energy efficiency and	8
a network with	8
there are many	8
and other agents	8
nodes selected by	8
order modeling of	8
which results in	8
to make the	8
greedy and random	8
are similar to	8
in the number	8
we evaluate the	8
the course of	8
quality of the	8
packet to the	8
can be also	8
final number of	8
a de bruijn	8
of node conductance	8
opportunistic routing protocol	8
the model is	8
the detection of	8
k is the	8
principal component analysis	8
von willebrand disease	8
to optimize the	8
of the current	8
to obtain a	8
probability that a	8
quality of experience	8
of nodes are	8
the real world	8
lymph nodes may	8
known as the	8
indicates that the	8
the task of	8
with a small	8
based optimization method	8
in the last	8
than or equal	8
is dependent upon	8
a family of	8
an infectious disease	8
do not have	8
to regional lymph	8
the objective function	8
of the algorithm	8
refers to the	8
the entire network	8
a random node	8
increased numbers of	8
in which a	8
is difficult to	8
random walk centrality	8
on the spread	8
aspects of importance	8
dc energy efficiency	8
the cost of	8
have been used	8
the network and	8
in spray and	8
of simplicial complexes	8
see chapters and	8
as the nodes	8
in age group	8
of temporal networks	8
proceedings of the	8
training based optimization	8
fog node k	8
of which are	8
the video player	8
of influential spreaders	8
delay in detection	8
the middle of	8
of the sir	8
some of these	8
the gastrointestinal tract	8
solid lipid nanoparticles	8
in the main	8
half of the	8
be used for	8
hepatic lymph nodes	8
online social networks	8
to the number	8
the mesenteric lymph	8
of data packets	8
the sensor nodes	8
structure in networks	8
the time requirement	8
number of neighbors	8
is represented as	8
initial growth rate	8
in the small	8
the energy consumption	8
the final number	8
spleen and lymph	8
and the lymphoid	8
are part of	8
is the first	8
networks with community	8
of virus propagation	8
were present in	8
structure and dynamics	8
the university of	8
jejunal lymph nodes	8
innate and adaptive	8
of plasma cells	8
smart nodes and	8
and sentinel surveillance	8
be caused by	8
rich large b	8
the loss function	8
of marginal zone	8
presented in the	8
the data is	8
between the nodes	8
node and the	8
the two nodes	8
was performed in	8
community detection in	8
the objective measures	8
of b lymphocytes	8
less than the	8
can see that	8
in one of	8
opportunistic routing algorithm	8
the neighbors of	8
layered community structure	8
may be seen	8
in the middle	8
in the body	8
with cervical lymphadenopathy	8
the epidemic dynamics	8
given by the	8
processes on networks	8
cervical lymphadenopathy in	8
to a specific	8
mobile health environment	8
in other words	8
of nodes to	8
to detect the	7
from the same	7
of these networks	7
is most often	7
be described as	7
in the absence	7
we focus on	7
three objective measures	7
before the outbreak	7
nodes with high	7
the sequence number	7
at each node	7
be associated with	7
was based on	7
of a lymph	7
the behavior of	7
soft labels to	7
found that the	7
nodes in this	7
the decision tree	7
is hard to	7
the range of	7
within the spleen	7
value of node	7
can affect the	7
results in an	7
rate at which	7
distance k from	7
especially in the	7
the experimental results	7
have also been	7
of the drug	7
for vod services	7
are due to	7
knowledge discovery and	7
study of the	7
the fog node	7
of the small	7
is proportional to	7
of visits to	7
results are shown	7
the implementation of	7
for the spread	7
the thymus is	7
nodes from the	7
preferential attachment graphs	7
stored in the	7
bone marrow or	7
lymphadenitis in children	7
changes in the	7
an infectious node	7
in accordance with	7
of hematopoietic cells	7
to a large	7
the join request	7
determined by the	7
nodes to the	7
acute myeloid leukemia	7
details of the	7
has the highest	7
dependent upon the	7
outside of the	7
disorders of dogs	7
data into its	7
the probabilities of	7
c is the	7
may be more	7
the contact network	7
of all the	7
subgraph s i	7
is divided into	7
and red pulp	7
in the initial	7
lymph node thickness	7
equine infectious anemia	7
a complex network	7
to obtain the	7
the current node	7
nodes have a	7
consumption and overhead	7
of the splenic	7
and results in	7
is the node	7
consists of a	7
decisions community detection	7
see disorders of	7
betweenness immunization strategy	7
are likely to	7
this work is	7
i j is	7
so as to	7
time requirement of	7
node has a	7
community structure is	7
in the cluster	7
the network are	7
in the cloud	7
of the paper	7
various network topologies	7
algorithm based on	7
the research of	7
similar to those	7
the incidence curves	7
all nodes are	7
form of a	7
we introduce a	7
data packets to	7
the node and	7
a cause of	7
functions of the	7
results show that	7
with n nodes	7
for the proposed	7
without loss of	7
node is the	7
and f d	7
nodes may be	7
location of the	7
does not necessarily	7
relative to the	7
in multilayer networks	7
learning for networks	7
to access the	7
for community detection	7
this means that	7
the field of	7
three or more	7
find the optimal	7
the speed of	7
is the set	7
need to be	7
of belief functions	7
and plasma cells	7
v and v	7
the shortest paths	7
infected by an	7
maximum number of	7
only on the	7
p shared whiteboard	7
random graphs with	7
in horses and	7
training parameter instances	7
were identified in	7
and the other	7
r is the	7
energy efficiency of	7
end of the	7
of the first	7
model is used	7
is that it	7
back to the	7
detection based on	7
is the probability	7
the ventral abdomen	7
node and its	7
for learning latent	7
infected individuals of	7
the sauis model	7
important role in	7
complex network representation	7
the efficacy of	7
effects of the	7
for the case	7
the shape of	7
marrow storage pool	7
the other methods	7
of the fog	7
represented as a	7
learning latent dynamics	7
feature learning for	7
nodes are selected	7
are in the	7
and do not	7
in the area	7
chronic lymphocytic leukemia	7
its local topology	7
head and neck	7
imaging findings in	7
that they have	7
decrease in the	7
wide range of	7
the target node	7
the percentage of	7
in a community	7
the betweenness centrality	7
total distance between	7
the application of	7
energy consumption is	7
two types of	7
the backend server	7
phagocytized by macrophages	7
for the analysis	7
the purpose of	7
values of the	7
greater than the	7
the immunization efficiency	7
the disease and	7
in the early	7
the medullary cords	7
on blood smear	7
after each round	7
is calculated as	7
one ferret with	7
for at least	7
each node sends	7
communities in the	7
it is hard	7
dynamical process on	7
in the whole	7
and have a	7
due to its	7
may be difficult	7
within blood vessels	7
the idea of	7
coupled kuramoto oscillators	7
by using a	7
set of influential	7
v i in	7
later in the	7
to be an	7
in two ferrets	7
to be more	7
than that of	7
of the different	7
consumption in the	7
been identified in	7
in such a	7
data to the	7
t zone lymphoma	7
probability of the	7
uniformly at random	7
in the random	7
to identify the	7
derived from the	7
iron deficiency anemia	7
in a given	7
individuals in the	7
include the following	7
the structure and	7
central nervous system	7
of the initial	7
big data communication	7
an immunization strategy	7
show that the	7
from the blood	7
a wide range	7
we used the	7
there are several	7
in this experiment	7
the initial condition	7
caused by the	7
an interactive email	7
the center of	7
of lymphocytes in	7
node is selected	7
to build a	7
has also been	7
exhaust air temperature	7
terms of the	7
where it is	7
an edge between	7
are present in	7
attached to the	7
cluster size is	7
final affected scale	7
infectious disease dynamics	7
in the above	7
of the ferrets	7
of network self	7
vaccination strategies for	7
on gross examination	7
compared to other	7
presence of a	7
of these two	7
of the sensor	7
labels to guide	7
is most commonly	7
into the blood	7
with a firm	7
the spleen may	7
infections caused by	7
magnetic resonance imaging	7
corresponds to the	7
the most commonly	7
network is the	7
of the realworld	7
of dynamical processes	7
to maintain the	7
a measure of	7
a node that	7
of epidemic spreading	7
lymph nodes with	7
of the cranial	7
to solve the	7
as opposed to	7
this study was	7
should not be	7
social network analysis	7
of the virus	7
pseudo labels for	7
neutrophils in the	7
is analogous to	7
and adaptive immune	7
to minimize the	7
and the proposed	7
the algorithm is	7
along with the	7
the influence factor	7
nodes with degree	7
the innate and	7
is greater than	6
a and b	6
the site of	6
to the destination	6
due to a	6
can be detected	6
selection of a	6
of antigenic stimulation	6
energy consumption for	6
zhang et al	6
the spleen in	6
used to describe	6
of networks and	6
every node in	6
v is the	6
can only be	6
each age group	6
to the spleen	6
it is necessary	6
whether or not	6
property of the	6
although it is	6
for the first	6
case of a	6
other domestic animals	6
than the number	6
hemolytic anemia is	6
data can be	6
of the system	6
the severity of	6
at the base	6
of the body	6
to provide an	6
nodes according to	6
the ability of	6
effect of community	6
on the epidemic	6
community detection based	6
social networks identifying	6
in the real	6
the diffusion of	6
th time step	6
in human beings	6
on random walks	6
with a high	6
lymphoma in ferrets	6
low numbers of	6
paths of potential	6
the capsule and	6
even if the	6
in epidemic spreading	6
in the degree	6
the computation of	6
should be considered	6
tissues of the	6
three aspects of	6
in veterinary medicine	6
a response to	6
sheep and goats	6
children with cervical	6
a decrease in	6
between structure and	6
new node is	6
at distance k	6
be applied to	6
topological data analysis	6
and the frequency	6
the medullary sinuses	6
to of cases	6
some nodes are	6
to the same	6
of the delay	6
we note that	6
node v k	6
in our model	6
that results in	6
frequency of detection	6
important nodes in	6
routing protocol for	6
in the presence	6
the nodes that	6
closer to the	6
of the above	6
data packet to	6
it to the	6
based on mobile	6
this can be	6
the process on	6
of hemolytic anemia	6
have focused on	6
year of age	6
in the future	6
the new data	6
round of simulation	6
of stall events	6
the shortest path	6
a study of	6
of the cascade	6
important nodes for	6
the topological structure	6
important to note	6
the parameters are	6
to create a	6
the topology of	6
in the boundary	6
and temporal networks	6
cell lung cancer	6
of a given	6
is possible that	6
that have been	6
of measures of	6
along the ventral	6
the rate at	6
located in the	6
which leads to	6
of coupled oscillators	6
of both the	6
a malicious attack	6
suppress the epidemic	6
m is the	6
the hepatic lymph	6
should be sent	6
basis of the	6
we have to	6
than in the	6
listed in table	6
the label information	6
of the outbreak	6
i t u	6
the same community	6
distance k of	6
degree and betweenness	6
can be observed	6
the cause of	6
product of the	6
except for the	6
virus propagation and	6
selected as the	6
partial differential equations	6
the global structure	6
for the detection	6
aspect of the	6
research of the	6
the vector representation	6
can be divided	6
high local importance	6
that two nodes	6
see uniform splenomegaly	6
targeted delivery of	6
the authors of	6
is known as	6
result in a	6
instead of the	6
learning of social	6
highly connected individuals	6
anemia of inflammation	6
gross et al	6
most cases of	6
as it is	6
or protocol has	6
of the neck	6
related protein family	6
scalable feature learning	6
is how to	6
a randomly chosen	6
model can be	6
is required for	6
structures in the	6
is at least	6
on both labeled	6
all nodes within	6
of the source	6
of dynamical systems	6
data packets from	6
we report the	6
transmission rate b	6
and the cut	6
the characteristics of	6
according to some	6
energy of the	6
can be easily	6
spleen was radiographically	6
leukocyte adhesion deficiency	6
to achieve a	6
accordance with the	6
based on node	6
t lymphocytes and	6
solution of the	6
capsule and trabeculae	6
have been studied	6
the population of	6
seen that the	6
and marginal zone	6
more than the	6
as can be	6
convolutional neural networks	6
development of the	6
there are some	6
calculated as the	6
up to of	6
the who classification	6
we found that	6
from the list	6
these networks are	6
an adaptive network	6
of the wireless	6
of immunized nodes	6
we would like	6
of the vaccination	6
of the white	6
the sensor network	6
important for vaccination	6
of infectious disease	6
nodes of degree	6
the streaming unit	6
packets are transmitted	6
of the general	6
the data from	6
were performed in	6
are represented by	6
to the network	6
closely related to	6
the maximum number	6
findings in this	6
have to be	6
the full network	6
the homogeneous mixing	6
other than the	6
to a certain	6
the blood circulation	6
number of available	6
table shows the	6
center of the	6
the lumbar spine	6
peripheral t cell	6
to detection or	6
n denote the	6
in the process	6
the world health	6
branches of the	6
a method for	6
consists of two	6
is about ft	6
dynamics of the	6
the success of	6
a model of	6
the proposed clustering	6
influence maximization and	6
a probability distribution	6
computational physics problems	6
t lymphocyte origin	6
of particulate matter	6
via the lymphatic	6
the initial growth	6
members of the	6
the interplay between	6
spread of information	6
when there is	6
the degrees of	6
would also be	6
to a new	6
label information of	6
loss of generality	6
the features of	6
the need for	6
the following equation	6
sharing and searching	6
of the air	6
the model can	6
in our work	6
the first three	6
of more than	6
the extent of	6
the one ferret	6
sensor networks is	6
in the interval	6
multiple fitness functions	6
reduce energy consumption	6
estimation of the	6
computer networks and	6
and the spread	6
the emergence of	6
the new node	6
nodes have been	6
has been recognized	6
dynamics and control	6
in a ferret	6
patients and doctors	6
effect of vaccination	6
that the average	6
of the group	6
the proposed system	6
the reliability of	6
doses per unit	6
different from the	6
can be measured	6
because of its	6
states of the	6
the connectivity of	6
important than j	6
detection or extinction	6
in the enron	6
same number of	6
for temporal networks	6
the functions of	6
growth rate is	6
a period of	6
example of a	6
long axis ratio	6
widely used in	6
infected nodes in	6
shape of the	6
important for the	6
in the chapter	6
determined by a	6
of infected and	6
to the regional	6
graph attention network	6
and consists of	6
great number of	6
between i and	6
of patients with	6
at a given	6
efficiency of network	6
routing algorithm for	6
the fog video	6
local and global	6
domestic animal species	6
composed of a	6
are listed in	6
take advantage of	6
for the nodes	6
can be obtained	6
the spleen are	6
of doses per	6
way decisions community	6
be seen with	6
such as those	6
out in the	6
during times of	6
endemic steady state	6
allows one to	6
the energy of	6
nodes should be	6
parameters are set	6
the sections on	6
efferent lymphatic vessels	6
summarized in box	6
in a way	6
overlapping communities in	6
an outgoing edge	6
of a causal	6
the content orchestrator	6
the combination of	6
of the new	6
of horses and	6
x and f	6
acute lymphoblastic leukemia	6
a range of	6
drugs and cov	6
the assumption that	6
for most of	6
of lymph node	6
spread of an	6
reduced order modeling	6
a great number	6
outbreak of epidemic	6
and data mining	6
in the previous	6
from the injection	6
immunization strategies and	6
will not be	6
to deploy vod	6
assume that the	6
number of individuals	6
in domestic ferrets	6
chapter bone marrow	6
no delay in	6
we obtain the	6
a firm consistency	6
is used as	6
there are also	6
reduction in the	6
the vod service	6
many of the	6
of social representations	6
the spray and	6
the computational complexity	6
in the sections	6
one can also	6
and the node	6
be divided into	6
dynamics on networks	6
various types of	6
discussed in the	6
a population of	6
ferrets in this	6
the clustering approach	6
in a similar	6
voter model with	6
nodes in its	6
to examine the	6
networks based on	6
whether it is	6
followed by the	6
by the time	6
the susceptible individuals	6
input and output	6
that the network	6
regions of the	6
tracheobronchial lymph nodes	6
in the next	6
is able to	6
which has the	6
occurs in the	6
on networks with	6
lymph nodes can	6
between drugs and	6
demand for neutrophils	6
this paper we	6
only if the	6
different number of	6
time step in	6
we do not	6
enron email network	6
the energy efficiency	6
other causes of	6
the upper bound	6
there can be	6
the next section	6
the epidemic thresholds	6
nodes for each	6
may be a	6
networks with strong	6
the magnitude of	6
j i is	6
of individuals in	6
we select the	6
to analyze the	6
highly connected nodes	6
to calculate the	6
in opportunistic networks	6
the accuracy of	6
the framework with	6
stands for the	6
the follow links	6
subgraph proximity measure	6
vascular spaces is	6
a multilayer network	6
distributed representations of	6
the vaccination strategies	6
node has been	6
value of a	6
lymphadenopathy in children	6
are associated with	6
a regenerative response	6
tier fog architecture	6
a survey on	6
has been described	6
in the figure	6
the interactions between	6
network and the	6
by an u	6
of this work	6
lymph nodes is	6
the cortex and	6
of cervical lymphadenitis	6
in of the	6
nodes are not	6
the cervical lobes	6
to have an	6
a delay of	6
because of a	6
online learning of	6
the authors propose	6
that do not	6
each fog node	6
spread of the	6
nodes are removed	6
distantly related protein	6
and b lymphocytes	6
up to the	6
of genetic programming	6
as a consequence	6
according to a	6
canine and feline	6
deploy vod services	6
throughout the body	6
vod services in	6
can be achieved	6
to the liver	6
genetic programming with	6
minimizing the number	6
node from the	6
with ultrasound in	5
red pulp is	5
that node conductance	5
discovery and data	5
a node for	5
lymph node metastasis	5
then it is	5
influenza h n	5
b i j	5
member of the	5
of network structures	5
term is the	5
fraction of the	5
we present the	5
the target site	5
of t lymphocyte	5
of the community	5
the network of	5
small cell lung	5
of the university	5
each node and	5
evaluate the efficiency	5
we begin by	5
could not be	5
p denotes the	5
plasma cell neoplasia	5
topology of the	5
described as a	5
the basic reproductive	5
the correspondence matrix	5
a viral upper	5
one ferret had	5
nodes of a	5
nodes in community	5
may be marked	5
and have been	5
radiographic and ultrasonographic	5
in the past	5
a class of	5
drainage from the	5
the job scheduler	5
should be performed	5
v k with	5
fog video mechanism	5
labeled and pseudo	5
that fog video	5
the underlying graph	5
of the file	5
explained in section	5
the nodes have	5
there is marked	5
of n nodes	5
are discussed later	5
in the node	5
lysis of the	5
is transmitted by	5
all other nodes	5
electronic medical record	5
and the average	5
marginal zone macrophages	5
to select the	5
a mixture of	5
an overview of	5
the differences between	5
may result from	5
to the nodes	5
by mobile devices	5
by minimizing the	5
in the population	5
as a cause	5
transmission of the	5
a user can	5
to be connected	5
after duodenal administration	5
it needs to	5
on the one	5
detection in networks	5
this work we	5
by macrophages and	5
is a path	5
a link to	5
of random walks	5
caudal vena cava	5
in the heatmap	5
in network analysis	5
is the maximum	5
to the disease	5
of the second	5
the systemic circulation	5
to become a	5
it will be	5
to simulate the	5
been shown that	5
labels for each	5
of this chapter	5
model for the	5
for each of	5
of the bone	5
is known to	5
disorders of horses	5
obtained by the	5
complex networks with	5
the same degree	5
the window size	5
of influential nodes	5
outcome of the	5
only a few	5
achieve the self	5
and show that	5
a case study	5
of the distribution	5
the issue of	5
the exception of	5
file sharing and	5
table summarizes the	5
if there are	5
out of the	5
internet of things	5
of the macrophages	5
arise from the	5
the expected outbreak	5
ileocolic lymph nodes	5
attention to the	5
to know the	5
topological structure of	5
in the recent	5
number of infectious	5
importance of a	5
one of two	5
infectious disease epidemiology	5
we assume the	5
the input and	5
of the individuals	5
in of ferrets	5
of the dog	5
resource availability of	5
a few days	5
where d is	5
dysfunction responses to	5
part of a	5
integration of iot	5
of the neoplastic	5
predicting protein function	5
from a network	5
to the target	5
long as the	5
have been described	5
aware of the	5
of sensor nodes	5
cut surface of	5
e chapter bone	5
the outcome of	5
in this letter	5
please refer to	5
diameter of the	5
for example the	5
the recovery rate	5
as illustrated in	5
difference of the	5
are responsible for	5
qoe of delivered	5
for vaccination and	5
percent of nodes	5
we need to	5
to maximize the	5
the leaf node	5
common causes of	5
cytology or histopathology	5
the relay node	5
the head and	5
is essential for	5
can be different	5
when it is	5
a random attack	5
in more detail	5
reader with a	5
of nodes from	5
resulting in an	5
to the diagnosis	5
such that each	5
has been a	5
to any other	5
we investigate the	5
of different immunization	5
in its range	5
proof of theorem	5
of community detection	5
nodes with different	5
may be observed	5
by a single	5
to the next	5
on the structure	5
in the long	5
model is a	5
a is the	5
the cranial mediastinum	5
than the other	5
in large networks	5
lymphoid nodular hyperplasia	5
susceptible nodes is	5
the infected individuals	5
with the other	5
if there exists	5
a model for	5
serve as a	5
mode of inheritance	5
a form of	5
the existence of	5
the design of	5
lymphatic transport of	5
to the case	5
the infection rate	5
as long as	5
in computer science	5
in energy consumption	5
an edge with	5
qoe for vod	5
to the source	5
dot product of	5
local topology to	5
is because the	5
used as the	5
reproduction number r	5
each other and	5
of nodes have	5
and output vectors	5
of node a	5
in this article	5
the delay is	5
acute cervical lymphadenitis	5
have been extensively	5
community detection algorithm	5
at any time	5
expected outbreak size	5
collective dynamics of	5
network topology and	5
the cold aisle	5
splenic fibrohistiocytic nodule	5
v is a	5
is used for	5
routine blood smear	5
we examine a	5
in a small	5
that if the	5
more attention to	5
be considered as	5
the three aspects	5
tend to have	5
all the data	5
the rfid readers	5
nodes with respect	5
is summarized in	5
a lack of	5
two nodes have	5
as a function	5
of the transmission	5
lymphatic system are	5
to provide vod	5
of neoplastic cells	5
the qoe of	5
to suppress the	5
cortex and medulla	5
the most popular	5
well as to	5
local transition function	5
and the spleen	5
the subcapsular sinus	5
have a high	5
all the other	5
they can be	5
was confirmed in	5
based on information	5
randomly chosen node	5
by the same	5
minimum number of	5
detail in chapter	5
between the optimal	5
temporal community structure	5
as a node	5
mobile edge computing	5
client qoe qos	5
is a function	5
the transmission rates	5
university email network	5
to the renal	5
rather than the	5
and cannot be	5
in mobile health	5
length of a	5
primary rfid reader	5
on the surface	5
node is important	5
the primary site	5
is represented by	5
degree of a	5
splenic lymphoid follicles	5
to train slgat	5
of severe acute	5
lymphoma was confirmed	5
to the rest	5
the portal vein	5
cost and robustness	5
this results in	5
at the hilus	5
based on cpt	5
latent dynamics of	5
the position of	5
to the fact	5
case in which	5
lymph node or	5
to represent the	5
most of these	5
of a single	5
origin of the	5
has been used	5
these lymph nodes	5
live media streaming	5
largest reduction in	5
assume that a	5
temperature and humidity	5
than j i	5
centrality based on	5
ferrets with lymphoma	5
within incidental variation	5
are used as	5
we measure the	5
malignant catarrhal fever	5
followed by a	5
detection algorithm based	5
gross and microscopic	5
as the proposed	5
the system of	5
based on our	5
identified as a	5
detected in the	5
from a single	5
the network with	5
the average time	5
chen et al	5
both labeled and	5
when cluster size	5
the central artery	5
the testing parameter	5
the same type	5
a regional quarantine	5
is related to	5
note that this	5
and v is	5
exponential growth rate	5
inspired by the	5
performed on the	5
connectivity of the	5
belief function g	5
relevant for the	5
medullary sinuses and	5
with qoe support	5
plasma cells in	5
the forwarder node	5
on complex networks	5
or more entities	5
a given time	5
cellular automata on	5
in dogs with	5
spleen was considered	5
is similar to	5
of the importance	5
vaccination strategies on	5
of a virus	5
the advantage of	5
erythrocyte sedimentation rate	5
a potential forwarder	5
start of the	5
nodes and or	5
the node has	5
the influential nodes	5
granularity complex network	5
in the forwarder	5
cloud qoe qos	5
the agct model	5
growth of the	5
other lymph nodes	5
showed that the	5
and the second	5
concentration of lymphocytes	5
the neighborhood of	5
as follows where	5
may be caused	5
discussed in more	5
is the largest	5
than nn and	5
results in the	5
the composition of	5
a susceptible individual	5
smaller than or	5
in which each	5
atrophy of the	5
of an infectious	5
bounded paths of	5
the gastrosplenic ligament	5
standard deviation of	5
with a more	5
to be able	5
not have a	5
marrow and blood	5
small lymph nodes	5
is the only	5
t cell lymphomas	5
a large social	5
restrain virus propagation	5
is larger than	5
well as other	5
acute or chronic	5
complete blood count	5
based on network	5
an absence of	5
lymph node and	5
spread of disease	5
community structure of	5
nodes within the	5
of parameterized odes	5
of adaptive networks	5
close to the	5
set of all	5
degree distribution of	5
by microorganisms and	5
and a i	5
of the dynamics	5
the source and	5
are characterized by	5
infected node i	5
effectiveness of a	5
the construction algorithm	5
is a random	5
of any node	5
inlet air temperature	5
it could be	5
the steady state	5
to this end	5
the cbf method	5
the change of	5
international conference on	5
between smart nodes	5
because of their	5
this type of	5
of doses is	5
detected with ultrasound	5
step is to	5
from to nodes	5
influence maximization in	5
and network flow	5
energy consumption of	5
the curves of	5
is that a	5
in three ferrets	5
and human proteins	5
it is common	5
to each node	5
a series of	5
p r p	5
strategies based on	5
to reach the	5
and abdominal lymph	5
of node importance	5
for the sauir	5
the nodes to	5
doses are used	5
download the video	5
and management of	5
x and t	5
the endemic steady	5
strategy is the	5
at the destination	5
the final sizes	5
forward the data	5
independently with probability	5
pick a random	5
important for influence	5
and are the	5
nervous system lymphoma	5
in which nodes	5
large social network	5
networks and the	5
viral upper respiratory	5
horses and disorders	5
s is the	5
are phagocytized by	5
number of stall	5
based on these	5
been used for	5
it is likely	5
the splenic red	5
lymphatic vessels to	5
used by the	5
the fitness function	5
and include the	5
surrounded by a	5
and its applications	5
term in eq	5
susceptible and infected	5
we know that	5
to the backend	5
from the node	5
community structure affects	5
to observe the	5
where n is	5
in the treatment	5
given fog node	5
previously visited nodes	5
the data and	5
the weighted graph	5
able to be	5
be due to	5
a single trajectory	5
and also the	5
has been proposed	5
subacute or chronic	5
the nodes and	5
based on weighted	5
and function of	5
the interstitial space	5
in the range	5
combined immunodeficiency disease	5
channel access congestion	5
described in dogs	5
in older ferrets	5
we train the	5
in the current	5
more important than	5
structure and the	5
the cooling system	5
and for the	5
infectious diseases in	5
response of the	5
taking into account	5
with the exception	5
p percent of	5
section presents the	5
lymph nodes that	5
poor body condition	5
vaccinate all the	5
characterized by the	5
wireless sensor network	5
the generalization performance	5
in the center	5
different groups of	5
nodes will be	5
size is equal	5
high degree nodes	5
lesions in the	5
is also the	5
for all nodes	5
to change the	5
shows the relationship	5
also been reported	5
consistent with the	5
regional policy works	5
a data packet	5
and the initial	5
diseases such as	5
discussed later in	5
accumulate in the	5
in the right	5
and the effect	5
the maintenance of	5
the similarity between	5
random walks on	5