Authorea (Authorea),
Journal Year:
2024,
Volume and Issue:
unknown
Published: June 24, 2024
As
a
net
water
production
entity
where
unconventional
oil
and
gas
extraction
operations
generate
volumes
of
hypersaline
(known
as
produced
water,
PW)
greater
than
they
consume,
it
is
imperative
to
consider
what
options
are
available
for
this
new
source
displace
demand
on
the
nations
already
struggling
supplies.
The
increased
awareness
adverse
environmental
impacts
associated
with
underground
injection
expected
drive
PW
management
away
from
disposal.
Meanwhile,
lack
data
chemical
constituents
toxicological
characteristics
treated
has
likely
hampered
regulatory
agencies
in
developing
policies
that
enable
advanced
treatment
reuse.
Therefore,
until
reuse
market
emerges
justify
costs
treatment,
most
viable
strategy
operators
reduce
volume
This
study
examines
cost
benefits
adopting
on-site
thermal
evaporation
process
through
collected
multiple
developmental
basins
–
Rockies,
Appalachia,
Haynesville
using
evaporators.
We
developed
method
assessing
benefit
applied
hypothetical
scenario
Eagle
Ford
shale
demonstrate
potential
evaporation.
challenges
limitations
also
discussed
paper.
Journal of Business and Management Studies,
Journal Year:
2024,
Volume and Issue:
6(2), P. 61 - 66
Published: March 18, 2024
Despite
advancements
in
machine-learning
prediction
techniques,
the
majority
of
lenders
continue
to
rely
on
conventional
methods
for
predicting
credit
defaults,
largely
due
their
lack
transparency
and
explainability.
This
reluctance
embrace
newer
approaches
persists
as
there
is
a
compelling
need
default
models
be
explainable.
study
introduces
employing
several
tree-based
ensemble
methods,
with
most
effective
model,
XGBoost,
being
further
utilized
enhance
We
implement
SHapley
Additive
exPlanations
(SHAP)
ML-based
scoring
using
data
from
US-based
P2P
Lending
Platform,
Club.
Detailed
discussions
results,
along
explanations
SHAP
values,
are
also
provided.
The
model
explainability
generated
by
Shapely
values
enables
its
applicability
broad
spectrum
industry
applications.
Journal of Computer Science and Technology Studies,
Journal Year:
2024,
Volume and Issue:
6(2), P. 62 - 70
Published: April 20, 2024
Cardiovascular
diseases,
including
myocardial
infarction,
present
significant
challenges
in
modern
healthcare,
necessitating
accurate
prediction
models
for
early
intervention.
This
study
explores
the
efficacy
of
machine
learning
algorithms
predicting
leveraging
a
dataset
comprising
various
clinical
attributes
sourced
from
patients
with
heart
failure.
Six
models,
Logistic
Regression,
Support
Vector
Machine,
XGBoost,
LightGBM,
Decision
Tree,
and
Bagging,
are
evaluated
based
on
key
performance
metrics
such
as
accuracy,
precision,
recall,
F1
Score,
AUC.
The
results
reveal
XGBoost
top
performer,
achieving
an
accuracy
94.80%
AUC
90.0%.
LightGBM
closely
follows
92.50%
92.00%.
Regression
emerges
reliable
option
85.0%.
underscores
potential
enhancing
infarction
prediction,
offering
valuable
insights
decision-making
healthcare
intervention
strategies.
Water,
Journal Year:
2024,
Volume and Issue:
16(11), P. 1461 - 1461
Published: May 21, 2024
Oilfield
brine
is
the
largest
byproduct
stream
generated
during
extraction
of
crude
oil
and
natural
gas
may
be
considered
a
resource
for
production
potable
water
valuable
raw
materials.
The
high
salinity
such
waters
limits
application
typical
membrane-based
techniques.
In
most
oilfields,
waste
cold
energy
from
process
low-temperature
separation
available
used
as
source
freezing
desalination
(FD)
brine.
As
result
FD
process,
two
streams
are
obtained:
partially
desalinated
concentrated
suitable
non-potable
applications
or
feed
membrane
desalination.
could
recovery
selected
chemicals.
This
paper
focuses
on
verifying
above-described
concept
oilfield
laboratory
scale.
Polish
located
in
Carpathian
Foredeep
was
feed.
Four
freezing–thawing
stages
were
applied
to
obtain
low-salinity
water,
which
subsequently
treated
by
reverse
osmosis.
obtained
permeate
meets
criteria
recommended
irrigation
livestock
watering.
enriched
with
iodine
(48
mg/L)
lithium
(14
subjected
tests.
Ion
exchange
resin
Diaion
NSA100
allowed
us
recover
58%
iodine.
Lithium
using
Mn-
Ti-based
sorbents
varies
52
93%.
Wearable Technologies,
Journal Year:
2025,
Volume and Issue:
6
Published: Jan. 1, 2025
Elastic
textiles
play
a
critical
role
in
passive
wearable
solutions
for
musculoskeletal
load
management
both
exosuits
and
resistance
clothing.
These
textiles,
based
on
their
ability
to
stretch
retract,
can
exhibit
ambivalence
load-modulating
effects
when
used
occupational,
rehabilitation,
exercise,
or
everyday
activity
settings.
While
garments
may
appear
similar
design,
they
have
opposing
goals:
reduce
the
case
of
increase
it
Despite
this
intrinsic
connection,
these
two
approaches
not
been
extensively
linked
together.
This
review
aims
fill
gap
by
examining
common
distinct
principles
elastic
clothing,
shedding
light
interactions
complex
dynamics
systems.
The
effectiveness
different
designs
that
mimic
function
clothing
workload
strength
training
are
critically
reviewed.
Current
challenges
practical
implementation
opportunities
improve
issues,
such
as
preload,
thermal
comfort,
skin
friction,
donning
doffing
also
highlighted.
