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
for the detection of81
in the presence of61
as shown in fig53
as well as the50
in the case of49
on the other hand49
the surface of the40
one of the most39
on the surface of39
in the human brain37
as a function of36
can be used to35
and the time of34
the units in the34
the time of exposure34
severe acute respiratory syndrome33
is one of the31
was found to be31
the size of the31
as a result of30
can be used for28
it is possible to28
an important role in28
surface plasmon resonance imaging28
has been shown to26
the value of the25
have been shown to25
it is important to23
it was found that22
is based on the22
the information content of21
the coefficient of friction21
the use of a20
been shown to be20
in the development of20
for the analysis of19
model to study the19
in the absence of19
in a number of19
there is a big19
experimental data about the19
in the form of19
such as the zipf19
acute respiratory syndrome coronavirus19
is stored in the19
have shown that the19
the effect of the18
of the challenges in18
based on the data18
to the ability to18
in the range of18
is related to the18
the data from the18
and water contact angle18
a number of important18
the role of the18
the total number of18
the nature of the18
as well as in18
and aboav scaling laws18
delivered to the units17
with such characteristics of17
of the droplets used17
novel hydrophobic and superhydrophobic17
with parameters of surfaces17
a wide range of17
size of the droplets17
data and convert them17
parameters of surfaces such17
results are finally delivered17
their activations based on17
or conditions of the17
training process is stored17
interconnected nodes that model17
the challenges in the17
surfaces such as surface17
important scaling relationships such17
in the synaptic weights17
the network more accurate17
characteristics of contacting surfaces17
of friction and the17
the aim of this17
from the first physical17
by examining individual records17
apply machine learning techniques17
science is surface science17
of contacting surfaces as17
engineers often deal with17
relationships such as the17
including complex dependencies between17
composite including complex dependencies17
function and transmit it17
composition and surface roughness17
to colloidal science is17
used in wetting experiments17
graphite composite including complex17
the knowledge acquired during17
networks in the human17
has three parts or17
area closely related to17
process is stored in17
over several stages into17
and levitating droplet clusters17
as the coefficient of17
in the output layer17
several stages into the17
the first physical principles17
units in the hidden17
they are suited for17
conditions of the experiment17
the input layer and17
network more accurate in17
storing and retrieving acquired17
are suited for storing17
into the desired output17
units representing the input17
they cannot be predicted17
weights until the results17
in an experimental manner17
finally delivered to the17
predicted from the first17
a series of functions17
of small rigid particles17
transfer function and transmit17
complex dependencies between the17
synaptic weights of the17
scientists and engineers often17
such as the granular17
while there is a17
the network representation for17
and convert them over17
linear transfer function and17
friction and the wear17
cannot be predicted from17
play an important role17
related to colloidal science17
layer with units representing17
computer models somewhat resembling17
convert them over several17
are finally delivered to17
tribology remains a data17
knowledge acquired during the17
three parts or layers17
and retrieving acquired knowledge17
of important scaling relationships17
hidden layer compute their17
layer and a non17
to the units in17
prediction for each record17
made of small rigid17
correlations allows predicting water17
that while there is17
one or more hidden17
and adhesion is called17
stored in the synaptic17
the optimized design of17
properties of metallic composite17
as the granular material17
adhesion is called tribology17
comparing the result with17
we were able to17
scaling relationships such as17
of experimental data about17
units in the output17
surface scientists and engineers17
them over several stages17
ann model has interconnected17
data about the frictional17
about the material composition17
surface properties of various17
using the network representation17
neurons and synapses in17
to process the input17
the synaptic weights of17
incorporate a series of17
connection weights until the17
leading to the ability17
nodal connections leading to17
repellent properties of metallic17
in the hidden layer17
ability to represent complex17
optimized design of novel17
colloidal science is surface17
as the data about17
hidden layers connect the17
is that while there17
learn by examining individual17
by examples and training17
free behavior and in17
models somewhat resembling neural17
of metallic composite materials17
dependencies between the contact17
for the optimized design17
the result with the17
droplets used in wetting17
interdisciplinary area is highly17
more accurate in predicting17
a typical ann model17
the data about the17
has interconnected nodes that17
in the transmission of17
tribology deals with such17
a big amount of17
behavior and in a17
in order to predict17
applied branch of surface17
layers connect the units17
the wetting properties of17
anns incorporate a series17
from the input layer17
often deal with parameters17
generating the prediction for17
of novel hydrophobic and17
suggested to apply machine17
makes the network more17
to the output layer17
are computer models somewhat17
surfaces as the coefficient17
series of functions to17
and transmit it to17
such characteristics of contacting17
and surface roughness or17
be predicted from the17
amount of experimental data17
and the wear rate17
neural networks in the17
network has three parts17
between the contact angle17
result with the prediction17
which deals with friction17
ann models learn by17
transmit it to the17
resembling neural networks in17
materials for the optimized17
surface roughness or conditions17
accurate in predicting new17
the ability to represent17
input layer with units17
varying connection weights until17
input data and convert17
since ann models learn17
branch of surface science17
material composition and surface17
roughness or conditions of17
the units with varying17
stages into the desired17
neural network model to17
a more applied branch17
the input data and17
in the tribological studies17
complex neurons and synapses17
has been recently suggested17
are determined in an17
results in the scale17
for storing and retrieving17
hydrophobic and superhydrophobic materials17
such as surface roughness17
deals with such characteristics17
the input layer with17
a multilayer perception neural17
process the input data17
recently suggested to apply17
acquired during the training17
the material composition and17
activations based on the17
study the wetting properties17
with units representing the17
nodes that model complex17
design of novel hydrophobic17
models learn by examples17
to represent complex input17
order to predict surface17
functions to process the17
the droplets used in17
the hidden layer compute17
layer compute their activations17
more hidden layers connect17
it to the output17
determined in an experimental17
anns learn by examining17
connections leading to the17
applied a multilayer perception17
and in a number17
another area closely related17
such as the data17
data from the input17
perception neural network model17
number of important scaling17
or more hidden layers17
is a big amount17
challenges in the tribological17
more applied branch of17
model complex neurons and17
the prediction for each17
contacting surfaces as the17
training makes the network17
been recently suggested to17
network representation for colloidal17
in the united states17
neural network has three17
units with varying connection17
synapses in the human17
this interdisciplinary area is17
these correlations allows predicting17
it has been recently17
deal with parameters of17
the tribological studies is17
network model to study17
suited for storing and17
of functions to process17
with varying connection weights17
in predicting new outcomes17
and surface properties of17
coefficient of friction and17
compute their activations based17
properties of a ductile17
parameters are determined in17
weights of the inter17
on the data from17
of surfaces such as17
we conclude that using17
multilayer perception neural network17
to predict surface wetting17
tribological studies is that17
and engineers often deal17
during the training process17
to apply machine learning17
and synapses in the17
learning techniques in order17
of exposure to liquid17
connect the units with17
colloidal crystals made of17
typical ann model has17
closely related to colloidal17
predict surface wetting properties17
until the results are17
understanding these correlations allows17
crystals made of small17
area is highly empirical17
model has interconnected nodes17
representation for colloidal systems17
studies is that while17
composite materials for the17
big amount of experimental17
the training process is17
metallic composite materials for17
time of exposure to17
and they cannot be17
one of the challenges17
the results are finally17
a neural network has17
properties of various materials17
input layer and a17
these parameters are determined17
data about the material17
representing the input data17
machine learning techniques in17
that model complex neurons17
conclude that using the17
of a ductile iron17
techniques in order to17
learn by examples and17
somewhat resembling neural networks17
wetting properties of a17
to study the wetting17
that using the network17
it should be noted16
around the isoelectric point16
for disease control and16
the formation of a16
in addition to the16
at the same time16
for the first time16
surface plasmon resonance biosensor16
an intensive care unit16
in the field of16
in vitro and in16
should be noted that16
in the spread of15
for up to days15
for the development of15
on the order of15
be used for the15
this work was supported15
disease control and prevention15
it has been shown14
a function of the14
a wide variety of14
can be applied to14
vitro and in vivo14
centers for disease control14
of escherichia coli o14
studies have shown that14
has been shown that13
the analysis of the13
by surface plasmon resonance13
in the context of13
have been used in13
with respect to the13
the presence of the13
have been used to13
a large number of13
one of the main13
on the basis of13
plays an important role12
the results of the12
is characterized by the12
the development of a12
a thin layer of12
the biological effects of12
can be used as12
and n is the12
which indicates that the12
a key role in12
as well as their12
detection of escherichia coli12
the formation of the12
to the formation of11
used in materials science11
discussed more in detail11
for the determination of11
of the most important11
at the end of11
n is the total11
have been found to11
it is known that11
more in detail in11
in detail in the11
bending of the cantilever11
middle east respiratory syndrome11
mechanism of action of11
is given by where11
will be discussed more11
the presence of a11
the majority of the11
as shown in figure11
an increase in the11
using surface plasmon resonance11
the investigated disinfecting chemicals11
be discussed more in11
is the total number11
in vitro bioactivity data11
the structure of the11
a surface roughness parameter10
n a l p10
see also a discussion10
curve fitting equation is10
to the set of10
shannon entropy is used10
content in the surface10
colloidal clusters by janai10
the stability of the10
a l p r10
state and n is10
fitted curve is hyperbolic10
l p r e10
also a discussion of10
of d colloidal clusters10
the data from figure10
total number of states10
the preprint in perpetuity10
that the fitted curve10
power exponent in the10
of human enteric viruses10
distribution is characterized by10
for various other aspects10
entropy is used in10
roughness parameter characterizing informational10
has been reported that10
other aspects of surface10
display the preprint in10
in the curve fitting10
in this study we10
east respiratory syndrome coronavirus10
based informational approach is10
a distribution is characterized10
p r o o10
value of the power10
equation is almost one10
the following values were10
exponent in the curve10
parameter characterizing informational content10
surface given by its10
r o o f10
the shannon entropy is10
in the surface given10
is the statistical probability10
particles formed in the10
figure and tables and10
in the gas phase10
cleaning and disinfection of10
used for the analysis10
physical chemistry and materials10
surface roughness parameter characterizing10
discussion of d colloidal10
was not certified by10
the influence of the10
work was supported by10
data from figure and10
is also used for10
in order to understand10
as well as for10
as illustrated in fig10
the purpose of this10
a license to display10
fitting equation is almost10
information content of a10
the statistical probability of10
th state and n10
as wetting transitions and10
of a distribution is10
is shown in figure10
given by its profile10
of the power exponent10
the intensive care unit10
following values were obtained10
various other aspects of10
the fitted curve is10
been found to be10
is used in materials10
has granted medrxiv a10
statistical probability of the10
indicates that the fitted10
such as wetting transitions10
r n a l10
granted medrxiv a license10
chemistry and materials science10
the antimicrobial activity of10
clusters by janai et10
on the survival of10
as a surface roughness10
wetting transitions and stick10
o u r n10
by janai et al10
in the formation of10
in order to study10
d colloidal clusters by10
of hepatitis a virus10
the ability of the10
license to display the10
u r n a10
it has been reported10
to the development of10
content of a distribution10
medrxiv a license to10
somewhat similar to the10
the study of the10
not certified by peer10
which was not certified10
by the presence of10
the power exponent in10
who has granted medrxiv10
approach is also used10
a discussion of d10
using the data from10
the interaction between the10
the curve fitting equation10
to the presence of10
informational content in the10
probability of the n10
surface of the cantilever10
j o u r10
certified by peer review10
the influence of nanoparticles10
also used for various10
the results show that10
to display the preprint10
from figure and tables10
informational approach is also10
the scanning electron microscope10
the surface given by10
used for various other10
by the shannon entropy10
is the author funder10
characterizing informational content in10
characterized by the shannon10
which is given by10
aspects of surface science10
the interaction of the10
shannon entropy provides an9
law statistical distributions typical9
is more likely to9
the copyright holder for9
in intensive care units9
holder for this preprint9
the shannon entropy s9
methods of network science9
many such systems form9
given by where pn9
of small particles or9
pn is the statistical9
the analysis of various9
more random than the9
can be estimated using9
of the shannon entropy9
bond cluster is more9
the characteristics of the9
the shannon entropy approach9
small particles or droplets9
in the present study9
statistical distributions typical for9
these include granular materials9
to conclude this section9
distributions typical for the9
of configurations somewhat similar9
copyright holder for this9
systems studied by physical9
configurations somewhat similar to9
in a variety of9
the mechanical properties of9
in the surface application9
is well known that9
content in these configurations9
various systems studied by9
we show that the9
similar to the set9
molecular dynamics simulations of9
power law distribution is9
content of these structures9
cluster is more random9
an estimation of the9
the power law distribution9
entropy provides an estimation9
important role in the9
value of the shannon9
to be able to9
on the sensor surface9
the resistance of the9
could expect that the9
as a consequence of9
sets of configurations somewhat9
one could expect that9
typical for the latter9
and characterized by power9
and clusters made of9
a detection limit of9
we found that the9
systems form sets of9
can also be used9
transmission of nosocomial pathogens9
this version posted august9
our results show that9
of network science can9
the information content in9
studied by physical chemistry9
these structures can be9
reuse allowed without permission9
by where pn is9
information content of these9
localized surface plasmon resonance9
state of the art9
structures can be estimated9
it is well known9
fluorescence resonance energy transfer9
of the information content9
while for the eight9
made of small particles9
using the shannon entropy9
have been used for9
the role of environmental9
is also characteristic for9
size of the brain9
science can be used9
form sets of configurations9
detail in the following9
a better understanding of9
clusters made of small9
the magnitude of the9
is due to the9
of these structures can9
distribution is also characteristic9
immunosensor for the detection9
in the following chapter9
in contact with the9
provides an estimation of9
expect that the seven9
such systems form sets9
the value of s9
by physical chemistry and9
for this preprint this9
be estimated using the9
estimation of the information9
the set of symbols9
where pn is the9
information content in these9
random than the eight9
which will be discussed9
estimated using the shannon9
preprint this version posted9
on the use of9
a quartz crystal microbalance9
of various systems studied9
is more random than9
this preprint this version9
no reuse allowed without9
have been reported to9
law distribution is also9
analysis of various systems9
the spread of respiratory9
on the cell surface9
network science can be9
the shannon entropy provides9
in vivo toxicological data8
of the investigated disinfecting8
be used as a8
survival of enteric viruses8
and the role of8
for the study of8
of the cell membrane8
from the perspective of8
in the intensive care8
antimicrobial activity of copper8
in health care facilities8
to the size of8
it is shown that8
influence of nanoparticles on8
the determination of the8
of the filter cake8
for a long time8
the antiviral activity of8
healthcare infection control practices8
of severe acute respiratory8
the end of the8
role of environmental contamination8
two orders of magnitude8
are considered to be8
in the study of8
of reactive oxygen species8
characteristic for scalefree networks8
with the size of8
effects of carbon nanotubes8
the ability of a8
in a recent study8
it has been suggested8
of nanoparticles on the8
these results suggest that8
for scanning electron microscopy8
the surface application scenario8
used to determine the8
to better understand the8
of hepatitis b virus8
also characteristic for scalefree8
in an intensive care8
aim of this work8
is the result of8
immobilized on the sensor8
taking into account the8
the use of the8
a high degree of8
the filter cake is8
the smaller the particle8
of enteric viruses on8
the mechanism of action8
as compared to the8
and the number of8
is the use of8
artificial mucus saliva mixture8
of influenza a virus8
particles in exhaled air8
the orientation of the8
the order of particles8
has been used to8
surface plasmon resonance sensors8
in the vicinity of8
are shown in figure8
infection control practices advisory8
we have developed a8
small round structured viruses8
persist on inanimate surfaces8
the built clinical environment8
of the plasma membrane8
formed in the gas8
due to the presence8
is shown in fig8
are based on the8
to the surface of8
cleaning and disinfection in8
to the ability of7
in the healthcare environment7
the presence or absence7
with the use of7
presence or absence of7
within the built environment7
by the use of7
infection control in health7
the changes in the7
from the viewpoint of7
the increase in the7
has been developed for7
is based on a7
the limit of detection7
the resolution of the7
has been suggested that7
reduce the risk of7
surface stability of sars7
it was shown that7
plasmon resonance biosensor for7
this is due to7
there is a need7
the development of the7
the geometry of the7
a measure of the7
on the membrane surface7
in reducing the spread7
contamination of the environment7
surface plasmon resonance biosensors7
of the antimicrobial peptide7
is on the order7
on a range of7
in order to investigate7
herpes simplex virus type7
a result of the7
it is estimated that7
the hand hygiene scenario7
sodium taurocholate cotransporting polypeptide7
of the cantilever is7
of the lp process7
the surface of a7
an order of magnitude7
the position of the7
of the interaction of7
order to understand the7
we have shown that7
the fact that the7
the mucus saliva mixture7
is a need for7
as one of the7
in the plasma membrane7
the results indicate that7
was shown to be7
and surface stability of7
of an outbreak of7
better understanding of the7
for up to h7
be responsible for the7
of this study was7
it was observed that7
the most widely used7
for the treatment of7
which can be used7
for the evaluation of7
the center of the7
we have found that7
as a source of7
in the general environment7
in the dental operatory7
a surface plasmon resonance7
the basis of the7
the binding of the7
of a large number7
the peptide and the7
of disinfecting chemicals in7
as well as a7
aerosol and surface stability7
to the analysis of7
the risk of infection7
for the diagnosis of7
as well as to7
control practices advisory committee7
to be used in7
due to the high7
that can be used7
one order of magnitude7
of herpes simplex virus7
in order to find7
can be classified into6
to the molecules to6
molecules to be detected6
of the effects of6
by west et al6
with a detection limit6
a new generation of6
the average specific filtration6
the stability of sars6
enteric viruses on fomites6
the activity of the6
the type of surface6
a change in the6
in the present work6
brownian diffusion and electrostatic6
the mass fraction of6
of the virus on6
do nosocomial pathogens persist6
incorporated with antimicrobial peptides6
with at least one6
to be associated with6
the simultaneous detection of6
to the plasma membrane6
between nanoparticles and the6
the thickness of the6
the viability of the6
of cleaning and disinfection6
the lipid composition of6
has also been reported6
the strength of the6
biological effects of carbon6
the permeate flux u6
the effects of the6
transcriptase polymerase chain reaction6
in order to obtain6
is consistent with the6
fourier transform infrared spectroscopy6
that the smaller the6
all over the world6
infection prevention and control6
persist for up to6
surfaces in the transmission6
the mott cross section6
pathogens persist on inanimate6
has been used for6
results show that the6
the dynamics of the6
the accessibility of the6
transmission of respiratory pathogens6
with the increase in6
our results indicate that6
exposure to disinfecting chemicals6
confocal laser scanning microscopy6
is known about the6
the edge of the6
per unit membrane area6
long do nosocomial pathogens6
a crucial role in6
has been applied to6
on the viability of6
for disinfection and sterilization6
on the surfaces of6
for particles less than6
cells were treated with6
by the formation of6
on the role of6
to be the most6
in england and wales6
of this study is6
of copper surfaces against6
of the hospital environment6
the safety of nanoparticles6
de keuckelaere et al6
order to determine the6
mechanical properties of the6
of environmental contamination with6
the concentration of bacteria6
the relationship between nanoparticles6
how long do nosocomial6
and most of the6
in contact with a6
in less than min6
of the peptide in6
at least one pathogen6
to be used as6
it is believed that6
the transmission of respiratory6
of solid copper surfaces6
carbon particles formed in6
higher than that of6
of the particle diameter6
that the use of6
are known to be6
with the help of6
of copper alloy surfaces6
used in healthcare environments6
it can be seen6
in order to prevent6
with in vitro bioactivity6
the concentration of the6
with the formation of6
are summarized in table6
the formation of an6
purpose of this study6
were immobilized on the6
come into contact with6
is known to be6
door handles and handrails6
with decreasing particle diameter6
in the control of6
volume per unit membrane6
it was possible to6
at the membrane surface6
of surface sampling methods6
physical properties of the6
a review of the6
to be responsible for6
smaller the particle diameter6
in contrast to the6
studied the effect of6
of an intensive care6
disinfection and sterilization in6
with a diameter of6
of particle diameter on6
a decrease in the6
in order to determine6
hungarian academy of sciences6
effects of temperature and6
was found that the6
is referred to as6
to a variety of6
may be due to6
affinity to the molecules6
guideline for disinfection and6
in the environment and6
nosocomial pathogens persist on6
of this work was6
our understanding of the6
as well as several6
the composition of the6
been reported to be6
permeate flux u is6
for detection of escherichia6
from stainless steel and6
of fomites in the6
been shown to have6
in good agreement with6
the apex of the6
reducing the spread of6
a powerful tool for6
by atomic force microscopy6
in the treatment of6
in their respiratory swabs6
plays a key role6
on the cantilever surface6
nanoparticles and the environment6
has been proposed to6
to the study of6
the relative importance of6
this study was to6
little is known about6
particles less than nm6
is similar to that6
more likely to occur6
and mechanical properties of6
average specific filtration resistance6
relationship between nanoparticles and6
can be achieved by6
several tens of thousands6
was used as a6
effects of nanoparticles on6
and surface plasmon resonance6
the molecules to be6
of the initial surface5
an increasing number of5
the use of copper5
the tip and the5
toward the center of5
and van der waals5
of human immunodeficiency virus5
at the molecular level5
of the antimicrobial agent5
complementary metal oxide semiconductor5
in the polymer matrix5
it was noted that5
of surface plasmon resonance5
the shape of the5
is important to note5
been shown in fig5
have the ability to5
of an amino acid5
were positive for ahs5
have been developed for5
in the production of5
the quality of the5
the measurement of the5
and infiltration of outdoor5
survival of hepatitis a5
been reported that the5
infectious on common touch5
of packing of granular5
common touch surface materials5
the antimicrobial properties of5
norovirus contamination via environmental5
a central role in5
in comparison with other5
important to note that5
be related to the5
and as a result5
the increase of the5
the difference between the5
and dynamics of the5
the mass of the5
is possible to obtain5
the molecular basis of5
this work was to5
a result of this5
can be obtained from5
screened rutherford cross section5
in health care settings5
is an important factor5
at high risk of5
was used to compare5
sensor based on a5
it is of interest5
that the toxicity of5
a scanning electron microscope5
has been proposed that5
infiltration of outdoor air5
the use of antimicrobial5
and relative humidity on5
supported in part by5
and the amount of5
the lacrimal drainage system5
the plasma membrane of5
the mechanism of the5
using a combination of5
thin layer of molten5
plays a role in5
the surface area of5
sterilization in healthcare facilities5
the cleaning and disinfection5
the authors would like5
used in this work5
also be used for5
survival of herpes simplex5
be paid to the5
remains infectious on common5
surface plasmon resonance sensing5
and the spread of5
and redistributing a thin5
in the medical field5
disinfection in reducing the5
average convective nusselt number5
a high concentration of5
and copper alloy surfaces5
during the last decade5
on environmental surfaces in5
transmission of rhinovirus colds5
will be discussed in5
by means of the5
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based on the results5
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van doremalen et al5
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we are able to5
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sections were stained with4
the characteristic size of4
beyond the diffraction limit4
and the development of4
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dynamics simulations of the4
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a peak diameter of4
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claudia steinem institute for4
steinem institute for organic4
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increase the sensitivity of4
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studies have demonstrated that4
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the integrity of the4
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use of disinfecting chemicals4
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the inferior vena cava4
the number concentration of4
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the correlation length approaches4
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surface materials used in4
the average convective nusselt4
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in the presence or4
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orders of magnitude lower4
the cell membrane and4
examples of rg agents4
play a role in4
require superior surface qualities4
the calculation of the4
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several other process system4
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various ferrous and non4
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the size distribution of4
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play a critical role4
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reduction of microbial burden4
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the cytoplasmic membrane of4
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the use of disinfectants4
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conservation of the cross4
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cdc and the healthcare4
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by the advanced treatment4
have been identified as4
efficacy of copper alloy4
morphology and chemical composition4
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small round structured virus4
the spread of nosocomial4
sustained reduction of microbial4
the volume covered at4
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the aim of the4
the frequency of cleaning4
fraction of nvr in4
in the areas of4
assay for the detection4
transmission and spread of4
for organic and biomolecular4
covered at every stage4
ph and the ionic4
structure of the protein4
it can be used4
the level of several4
contaminated surfaces in hospital4
and the formation of4
lp does not involve4
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the temperature dependence of4
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to control the spread4
surfaces in hospital settings4
to determine if the4
mass fraction of nvr4
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the molecular mechanisms of4
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to reduce the microbial4
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the fly ash pile4
surfaces through introduction of4
bactericidal performance of the4
have found that the4
of human serum albumin4
enteric viruses in the4
immobilized on the surface4
plasmon resonance sensing of4
on the stability of4
complex thermodynamics of lasermaterial4
play a crucial role4
is dependent on the4
contact with an infected4
here we present the4
alloy touch surfaces in4
remains the main explanation4
and enteric viral disease4
performance of the coating4
contamination due to methicillin4
organic and biomolecular chemistry4
surface quality by smoothing4
clogging of the membrane4
were the bed sheet4
typical example is the4
investigate the effect of4
combustion exhaust gases are4
a potential source of4
the time required for4
showed the presence of4
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contaminated surfaces contribute to4
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the lower estimate for4
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spatial and temporal resolution4
overview of strategies to4
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main explanation of the4
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the prolification of the4
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them through a diffusion4
a certain volume with4
to freeman and breakspear4
release of gaseous clo4
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have also been reported4
infection control measures on4
nanoparticles are taken in4
of the laser energy4
the generation of nanoparticles4
source of inspiration for4
in vitro bioactivity thresholds4
that they have no4
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the nrl array biosensor4
from the cell surface4
oriented immobilization of antibodies4
nm at a concentration4
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technique that has been4
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surface cleaning and disinfection4
role of fomites and4
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significance of fomites in4
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to improve infection control4
copper alloy touch surfaces4
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in the hospital environment4
and improves surface quality4
increase in the number4
the volume served by4
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the virus from the4
changes in surface stress4
for cleaning and disinfection4
biological effects of fullerene4
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prolification of the cell4
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touch surfaces in healthcare4
the performance of the4
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viruses on environmental surfaces4
level of several seconds4
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the transmission of nosocomial3
nanoparticles from gas and3
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virus persistence and recovery3
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volume served by the3
properties of the material3
niels jerne and geoffrey3
to study the formation3
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norovirus on inanimate surfaces3
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dry metallic copper surfaces3
caused by nanoparticles as3
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temperature and pressure on3
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modulus of microtip material3
initial surface topography and3
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on inanimate surfaces and3
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thermodynamic transformation of the3
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viral or bacterial nucleic3
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all of these studies3
modified by the fenton3
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contact with the skin3
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electron microscopic observation of3
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detection and analysis of3
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droplets and their migration3
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public tertiary care hospitals3
the result of the3
several micrometers in diameter3
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bacterial contamination in healthcare3
evaluation of virucidal activity3
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the reduction of the3
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scanning ion conductance microscopy3
surfaces and their inactivation3
a force upon their3
the blood or lymphatic3
implications for infection control3
the particle tends to3
hands and transfer of3
the control of the3
a significant decrease in3
in the last years3
the problems associated with3
a total of samples3
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in the health care3
the monte carlo simulation3
can also be exposed3
occupational safety and health3
and disinfection efficacy are3
in transmission electron microscopy3
hospital outbreak investigated by3
in a prolonged hotel3
the health care environment3
improving cleaning and disinfection3
indoor nanoparticles originate from3
on the indoor environment3
possible infection control implications3
from mouse liver tissue3
can be applied on3
reducing the risk of3
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copper surface toxicity in3
for which preventive or3
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samples using surface plasmon3
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drag force from the3
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the operating characteristics of3
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the cantilever length and3
contact with environmental surfaces3
rster resonance energy transfer3
of hospital surfaces in3
their weight is equilibrated3
from the ascending vapor3
is a number of3
of different types of3
viruses in a hospital3
bacterial levels on surfaces3
and in vivo toxicological3
the internal surfaces of3
can be compared with3
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chemical reaction on solid3
which are responsible for3
cluster of differentiation antibody3
by the drag force3
optical beam deflection method3