Results 201 to 210 of about 16,091 (269)

Wearable Electronic Monitoring of Vital Signs in Hospitalised Adults: A Nursing Focused Scoping Review of Clinical, Economic and Implementation Outcomes

open access: yesJournal of Advanced Nursing, EarlyView.
ABSTRACT Aim To synthesise evidence on wearable devices for continuous vital signs monitoring in adult hospital inpatients, focusing on clinical effectiveness, nursing perspectives, workflow impact, patient experience and resource implications. Design Scoping review.
Sian Myfanwy Shaw   +2 more
wiley   +1 more source

A machine learning approach to predicting severe diabetes distress in adults with type 1 diabetes mellitus

open access: yesJournal of Diabetes Investigation, EarlyView.
ABSTRACT Background Diabetes distress is common in patients with type 1 diabetes mellitus (T1DM). The aim of this study was to construct and validate prediction models for diabetes distress in adults with T1DM using continuous glucose monitoring (CGM) metrics. Methods The CGM metrics were collected from 259 adults with T1DM.
Naoki Sakane   +17 more
wiley   +1 more source

Convolutional neural network and wavelet composite against geometric attacks a watermarking approach. [PDF]

open access: yesSci Rep
Lakshmi C   +9 more
europepmc   +1 more source

Amazonian drought of 2023: Environmental conditions relevant to fishes

open access: yesJournal of Fish Biology, EarlyView.
Abstract This paper provides a platform for the following studies within this Special Issue. ‘Ecophysiology of fishes in the two great tributaries of the Amazon in the Anthropocene’. It documents the water quality conditions and accompanying zooplankton community structure and biomass relative to fish health in the Rio Negro and Rio Solimões during the
Ora E. Johannsson   +10 more
wiley   +1 more source

Leveraging modified ex situ tomography data for segmentation of in situ synchrotron X‐ray computed tomography

open access: yesJournal of Microscopy, EarlyView.
Abstract In situ synchrotron X‐ray computed tomography enables dynamic material studies. However, automated segmentation remains challenging due to complex imaging artefacts – like ring and cupping effects – and limited training data. We present a methodology for deep learning‐based segmentation by transforming high‐quality ex situ laboratory data to ...
Tristan Manchester   +6 more
wiley   +1 more source

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