PLoS Computational Biology,
Journal Year:
2013,
Volume and Issue:
9(3), P. e1002938 - e1002938
Published: March 7, 2013
Pollinating
bees
develop
foraging
circuits
(traplines)
to
visit
multiple
flowers
in
a
manner
that
minimizes
overall
travel
distance,
task
analogous
the
travelling
salesman
problem.
We
report
on
an
in-depth
exploration
of
iterative
improvement
heuristic
model
bumblebee
traplining
previously
found
accurately
replicate
establishment
stable
routes
by
between
distributed
over
several
hectares.
The
critical
test
for
is
its
predictive
power
empirical
data
which
has
not
been
specifically
developed,
and
here
shown
be
consistent
with
observations
from
different
research
groups
made
at
spatial
scales
using
configurations
flowers.
refine
account
search
strategy
exploring
their
environment,
unexplored
predictions.
find
predicts
1)
increasing
propensity
optimize
scale;
2)
cannot
establish
optimal
traplines
all
rewarding
flowers;
3)
observed
trade-off
distance
prioritization
high-reward
sites
(with
slight
modification
model);
4)
temporal
pattern
acquire
approximate
solutions
salesman-like
problems
dozen
bouts;
5)
instability
visitation
schedules
some
6)
observation
flower
arrays,
bees'
are
highly
individually
different;
7)
searching
behaviour
leads
efficient
location
them.
Our
constitutes
robust
theoretical
platform
generate
novel
hypotheses
our
understanding
about
how
small-brained
insects
representation
space
use
it
navigate
complex
dynamic
environments.
Current Opinion in Environmental Sustainability,
Journal Year:
2013,
Volume and Issue:
5(3-4), P. 293 - 305
Published: June 6, 2013
In
less
than
20
years,
neonicotinoids
have
become
the
most
widely
used
class
of
insecticides
with
a
global
market
share
more
25%.
For
pollinators,
this
has
transformed
agrochemical
landscape.
These
chemicals
mimic
acetylcholine
neurotransmitter
and
are
highly
neurotoxic
to
insects.
Their
systemic
mode
action
inside
plants
means
phloemic
xylemic
transport
that
results
in
translocation
pollen
nectar.
wide
application,
persistence
soil
water
potential
for
uptake
by
succeeding
crops
wild
make
bioavailable
pollinators
at
sublethal
concentrations
year.
This
frequent
presence
honeybee
hives.
At
field
realistic
doses,
cause
range
adverse
effects
bumblebee
colonies,
affecting
colony
performance
through
impairment
foraging
success,
brood
larval
development,
memory
learning,
damage
central
nervous
system,
susceptibility
diseases,
hive
hygiene
etc.
Neonicotinoids
exhibit
toxicity
can
be
amplified
various
other
agrochemicals
they
synergistically
reinforce
infectious
agents
such
as
Nosema
ceranae
which
together
produce
collapse.
The
limited
available
data
suggest
likely
similar
virtually
all
insect
pollinators.
worldwide
production
is
still
increasing.
Therefore
transition
pollinator-friendly
alternatives
urgently
needed
sake
sustainability
pollinator
ecosystem
services.
We
present
a
global
optimization
approach
to
optical
flow
estimation.
The
optimizes
classical
objective
over
the
full
space
of
mappings
between
discrete
grids.
No
descriptor
matching
is
used.
highly
regular
structure
enables
optimizations
that
reduce
computational
complexity
algorithm's
inner
loop
from
quadratic
linear
and
support
efficient
tens
thousands
nodes
displacements.
show
one-shot
Horn-Schunck-type
grids
at
single
resolution
sufficient
initialize
continuous
interpolation
achieve
state-of-the-art
performance
on
challenging
modern
benchmarks.
PLoS ONE,
Journal Year:
2014,
Volume and Issue:
9(7), P. e103073 - e103073
Published: July 21, 2014
As
in
many
other
locations
the
world,
honeybee
colony
losses
and
disorders
have
increased
Belgium.
Some
of
symptoms
observed
rest
unspecific
their
causes
remain
unknown.
The
present
study
aims
to
determine
role
both
pesticide
exposure
virus
load
on
appraisal
unexplained
field
conditions.
From
July
2011
May
2012,
330
colonies
were
monitored.
Honeybees,
wax,
beebread
honey
samples
collected.
Morbidity
mortality
information
provided
by
beekeepers,
clinical
visits
availability
analytical
matrix
used
form
2
groups:
healthy
with
(n
=
29,
n
25,
respectively).
Disorders
included:
(1)
dead
or
which
part
appeared
dead,
had
disappeared;
(2)
weak
colonies;
(3)
queen
loss;
(4)
problems
linked
brood
not
related
any
known
disease.
Five
common
viruses
99
pesticides
(41
fungicides,
39
insecticides
synergist,
14
herbicides,
5
acaricides
metabolites)
quantified
samples.The
main
group
are
queens.
most
frequently
found
Black
Queen
Cell
Virus,
Sac
Brood
Deformed
Wing
Virus.
No
significant
difference
was
between
two
groups.
Three
acaricides,
13
fungicides
detected
analysed
samples.
A
correlation
presence
fungicide
residues
disorders.
positive
link
could
also
be
established
observation
disorder
abundance
crop
surface
around
beehive.
According
our
results,
as
a
potential
stressor
for
should
further
studied,
either
direct
and/or
indirect
impacts
bees
bee
colonies.
Proceedings of the National Academy of Sciences,
Journal Year:
2012,
Volume and Issue:
109(19), P. 7481 - 7486
Published: April 19, 2012
Sorting
objects
and
events
into
categories
concepts
is
a
fundamental
cognitive
capacity
that
reduces
the
cost
of
learning
every
particular
situation
encountered
in
our
daily
lives.
Relational
such
as
“same,”
“different,”
“better
than,”
or
“larger
than”—among
others—are
essential
human
cognition
because
they
allow
highly
efficient
classifying
irrespective
physical
similarity.
Mastering
relational
concept
involves
encoding
relationship
by
brain
independently
linked
relation
is,
therefore,
consistent
with
abstraction
capacities.
Processing
several
at
time
presupposes
an
even
higher
level
sophistication
not
expected
invertebrate.
We
found
miniature
brains
honey
bees
rapidly
learn
to
master
two
abstract
simultaneously,
one
based
on
spatial
relationships
(above/below
right/left)
another
perception
difference.
Bees
learned
classify
visual
targets
using
this
dual
transferred
their
choices
unknown
stimuli
offered
best
match
terms
dual-concept
availability:
components
presented
appropriate
differed
from
another.
This
study
reveals
surprising
facility
extract
set
complex
pictures
combine
them
rule
for
subsequent
choices.
finding
thus
provides
excellent
opportunities
understanding
how
processing
achieved
relatively
simple
neural
architectures.