Results 101 to 110 of about 5,543,646 (278)

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

, 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, Net-Zero Infrastructure Industry Coalition, Strickland, L, Wildfire, C, Dolan, T   +4 more
core   +1 more source

Degradation mechanism of the von Willebrand factor A2 domain by nattokinase

FEBS Letters, EarlyView.
Nattokinase, a natto‐derived protease, exhibits potent antithrombotic effects. This study demonstrates that nattokinase directly cleaves the von Willebrand factor (vWF) A2 domain in vitro. Unlike the native regulator ADAMTS13, nattokinase degrades folded vWF independently of shear stress.
Ryuichi Hyakumoto, Masatomo So, Ayako Furukawa, Kenji Sugase   +3 more
wiley   +1 more source

A Novel Deep Learning Model for Pancreas Segmentation: Pascal U-Net

Inteligencia Artificial
A robust and reliable automated organ segmentation from abdomen images is a crucial problem in both quantitative imaging analysis and computer aided diagnosis.
Ender Kurnaz, Rahime Ceylan, Mustafa Alper Bozkurt, Hakan Cebeci, Mustafa Koplay   +4 more
doaj  

A Comparative Analysis of Deep-Learning-Based Speech Enhancement Models: Assessing Biometric Speaker Verification in Real-World Noisy Environments

Big Data and Cognitive Computing
Speech enhancement through denoising is essential for maintaining signal intelligibility and quality in biometric speaker verification pipelines that operate in acoustically adverse conditions.
Md Jahangir Alam Khondkar, Ajan Ahmed, Stephanie Schuckers, Masudul H. Imtiaz   +3 more
doaj   +1 more source

LU-NET: An Improved U-Net for Ventricular Segmentation

IEEE Access, 2019
In order to solve the problem of low accuracy of the U-Net in cardiac ventricular segmentation, we propose an improved U-net named LU-Net by the following three methods.
Jun Zhang, Jiazhuo Du, Hongpu Liu, Xiangdan Hou, Yihao Zhao, Mengyuan Ding   +5 more
doaj   +1 more source

U-net weights for patch-based brain segmentation

, 2019
U-net weights for patch-based brain segmentation using the ANTsRNet ...
Brian Avants (418551), Nick Tustison (441144)   +1 more
core   +1 more source

Salmonella lipopolysaccharide‐containing supported lipid bilayers as platforms to study bacteriophage interactions

FEBS Letters, EarlyView.
We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace, Alyssa Borges, Charles Arnaud, Tove Karlsson, Nina K. Bröker, Stefanie Barbirz, Marta Bally   +6 more
wiley   +1 more source

U-net weights for T2/Flair whole tumor segmentation

, 2019
Whole tumor segmentation u-net model using T2 and flair ...
Brian Avants (418551), Nick Tustison (441144)   +1 more
core   +1 more source

From mice to humans—divergent strategies for intestinal homeostasis and regeneration

FEBS Letters, EarlyView.
Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa, Shinya Sugimoto, Toshiro Sato   +2 more
wiley   +1 more source

Generalized U-Net for automatic liver segmentation and R2* estimation for assessment of iron overload using MRI

BMC Medical Imaging
Background Although R2*-MRI is extensively validated for assessing liver iron concentration (LIC), techniques for robust and automatic liver extraction remain underdeveloped, limiting clinical workflow and adoption for automated LIC reporting. Hence this
Utsav Shrestha, Zachary R. Abramson, Stephan Kannengiesser, Xiaodong Zhong, Cara E. Morin, Aaryani Tipirneni-Sajja   +5 more
doaj   +1 more source