Results 71 to 80 of about 4,013,335 (305)

Association Between Individualized Education for Kidney Replacement Therapy Modality Selection and Peritoneal Dialysis Initiation: A Cross‐Sectional Study

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction Peritoneal dialysis (PD) is an established home‐based kidney replacement therapy (KRT), but its uptake remains low in Japan. We evaluated whether individualized education in a dedicated outpatient clinic was associated with the initiation of PD.
Yasuko Ito   +7 more
wiley   +1 more source

VDTAR-Net: A Cooperative Dual-Path Convolutional Neural Network–Transformer Network for Robust Highlight Reflection Segmentation

open access: yesComputers
In medical endoscopic imaging, specular reflection (SR) frequently leads to local overexposure, obscuring essential tissue information and complicating computer-aided diagnosis (CAD).
Qianlong Zhang, Yue Zeng
doaj   +1 more source

Spatiotemporal and quantitative analyses of phosphoinositides – fluorescent probe—and mass spectrometry‐based approaches

open access: yesFEBS Letters, EarlyView.
Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho   +3 more
wiley   +1 more source

A Place Based Approach to Net Zero. A report by the Net Zero Infrastructure Industry Coalition [PDF]

open access: yes, 2021
This report was produced as part of the work programme of the Net-Zero Infrastructure Industry Coalition, formed in 2019 in response to the UK government’s 2050 net- zero greenhouse gas (GHG) emissions commitment.
Knowland, T   +4 more
core  

U-Net architecture implemented. [PDF]

open access: yes, 2023
Cardiovascular diseases related to the right side of the heart, such as Pulmonary Hypertension, are some of the leading causes of death among the Mexican (and worldwide) population.
Kyle McPherson (17296114)   +6 more
core   +1 more source

An attention-based U-Net for detecting deforestation within satellite sensor imagery

open access: yesInternational Journal of Applied Earth Observations and Geoinformation, 2022
In this paper, we implement and analyse an Attention U-Net deep network for semantic segmentation using Sentinel-2 satellite sensor imagery, for the purpose of detecting deforestation within two forest biomes in South America, the Amazon Rainforest and ...
David John, Ce Zhang
doaj   +1 more source

Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation

open access: yesFEBS Letters, EarlyView.
Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe   +3 more
wiley   +1 more source

Computed tomography image segmentation of irregular cerebral hemorrhage lesions based on improved U-Net

open access: yesJournal of Radiation Research and Applied Sciences, 2023
Objective: This paper aims to improve U-Net for more accurate segmentation of irregular intracranial hemorrhage lesions in CT images. Methods: The residual octave convolution (ResOctConv) module was introduced to overcome the semantic gap issue in U-Net,
Yulong Yuan   +3 more
doaj   +1 more source

Structural instability impairs function of the UDP‐xylose synthase 1 Ile181Asn variant associated with short‐stature genetic syndrome in humans

open access: yesFEBS Letters, EarlyView.
The Ile181Asn variant of human UDP‐xylose synthase (hUXS1), associated with a short‐stature genetic syndrome, has previously been reported as inactive. Our findings demonstrate that Ile181Asn‐hUXS1 retains catalytic activity similar to the wild‐type but exhibits reduced stability, a looser oligomeric state, and an increased tendency to precipitate ...
Tuo Li   +2 more
wiley   +1 more source

An Automatic Nuclei Image Segmentation Based on Multi-Scale Split-Attention U-Net [PDF]

open access: yes, 2021
Nuclei segmentation is an important step in the task of medical image analysis. Nowadays, deep learning techniques based on Convolutional Neural Networks (CNNs) have become prevalent methods in nuclei segmentation.
Wenting Duan (17157046)   +1 more
core   +2 more sources

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