Results 171 to 180 of about 144,729 (309)

Automated CLL cell population detection using a weakly supervised approach and CLL MRD flow cytometry data

open access: yesCytometry Part B: Clinical Cytometry, EarlyView.
Abstract Minimal/measurable residual disease detection is routinely performed as part of post‐diagnostic treatment plans for many types of cancer, for which multiparameter flow cytometry is one possible modality frequently used. We propose a machine learning approach for binary prediction of minimal residual disease status with flow cytometry data. Our
Wikum Dinalankara   +5 more
wiley   +1 more source

Numerical investigation on the influence of mesoscopic deformation on contact area and hydraulic aperture to fracture seepage

open access: yesDeep Underground Science and Engineering, EarlyView.
Fluid flow through a single fracture is commonly described by the cubic law. However, deviations from this model are expected because natural fracture surfaces are rough and in contact with each other in discrete regions. In this study, the interactions between fracture closure, contact area, and hydraulic characterization of mesoscopic‐scale rough ...
Chenghao Han   +5 more
wiley   +1 more source

Is It Time to Adopt the LM‐View Fluoroscopic Projection in Balloon‐Expandable TAVR?

open access: yes
Catheterization and Cardiovascular Interventions, EarlyView.
Julius Jelisejevas, John G. Webb
wiley   +1 more source

A review on rockburst prediction and prevention to shape an ontology‐based framework for better decision‐making for underground excavations

open access: yesDeep Underground Science and Engineering, EarlyView.
A scientometric analysis of 2449 journal articles and a comprehensive review of 336 papers were conducted, discussing and identifying challenges and research gaps in rockburst prediction and prevention and proposing an ontology‐based framework for better decision‐making in underground excavations. Abstract With underground engineering projects becoming
Hongchuan Yan   +6 more
wiley   +1 more source

Strengthening urban resilience in China through underground infrastructures management: Addressing global climate challenges with technological solutions

open access: yesDeep Underground Science and Engineering, EarlyView.
This paper explores how climate‐resilient technologies, such as smart grids, digital twins, and self‐healing materials, can enhance urban resilience. It highlights the urgent need for proactive planning, public‐private collaboration, and data‐driven innovation to future‐proof underground infrastructure amid accelerating climate and urban pressures ...
Kai Chen Goh   +12 more
wiley   +1 more source

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