Results 91 to 100 of about 6,631,135 (316)

A Note on Equivalences in Measuring Returns to Scale in Multi-output-multi-input Technologies [PDF]

open access: yes
In this article we show equivalence between the input oriented and output oriented scale elasticity measures for multi-output, multi-input technologies. We show the necessary and sufficient condition for this equivalence.
Valentin Zelenyuk
core  

Rapid screening of staphylokinase protein variants using an unpurified cell‐free expression system

open access: yesFEBS Open Bio, EarlyView.
An unpurified cell‐free protein synthesis (CFPS) platform enables rapid functional screening of staphylokinase variants. Direct plasminogen‐activation assays performed in microplate format provide real‐time activity readouts, allowing rapid identification and ranking of variants with improved or reduced fibrinolytic activity without protein ...
Maria Tomková   +3 more
wiley   +1 more source

Blood‐based proteomic profiling reveals context‐dependent changes in BCL2‐associated signaling during taxane therapy in breast cancer patients

open access: yesFEBS Open Bio, EarlyView.
Chemotherapy side effects significantly impact cancer survivors' quality of life. Using protein levels in blood samples from breast cancer patients before and after 12 weeks of taxane treatment, we detected treatment‐dependent changes in calcium signaling and aging pathways associated with cancer recurrence.
Saira Munshani   +6 more
wiley   +1 more source

Multi-Scale Free-Form Surface Description and Curvature Estimation

open access: yes, 1999
A novel technique for multi-scale smoothing of a free-form 3-D surface is presented. Complete triangulated models of 3-D objects are constructed at our center [4] and using a local parametrization technique, are then smoothed using a 2-D Gaussian filter.
Yuen, P, Mokhtarian, F, Khalili, N
core  

Multi-Scale Modelling of Sintering

open access: yes, 2008
Multi-scale modelling of ...
Ruo Yu Huang   +3 more
core   +1 more source

Multi-scaling and mesoscopic structures [PDF]

open access: yesPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2010
Multi-scaling and the systematic investigation of mesoscopic structures represent a field of fruitful cooperation in physics, chemistry, mineralogy and life sciences. The increasing miniaturization of devices as well as the emphasis of recent research on microstructures with length scales of a few nanometres lead to paradigm changes that may impact not
openaire   +2 more sources

Derivation and characterization of retinal pigment epithelium from urine‐derived iPSCs

open access: yesFEBS Open Bio, EarlyView.
Age‐related macular degeneration causes vision loss via RPE dysfunction and loss. Traditional iPSC therapies rely on invasive biopsies, limiting scalability. Here, we utilize urine‐derived stem cells as an accessible source to generate u‐iPSCs, successfully differentiated into pigmented RPE. This “Urine‐to‐Retina” platform provides a promising path for
Daniella Beiner   +7 more
wiley   +1 more source

The finite element neural network method to simulate two dimensional partial differential equations and perform parameter identification

open access: yesScientific Reports
Neural networks (NNs) have received growing interest in engineering due to their ability to assimilate high-dimensional data and provide accurate approximations for complex systems.
Mohammed Abda   +7 more
doaj   +1 more source

Multi-scale 3-D Surface Description: Open and Closed Surfaces

open access: yes, 1999
A novel technique for multi-scale smoothing of a free-form 3-D surface is presented. Complete triangulated models of 3-D objects are constructed automatically and using a local parametrization technique, are then smoothed using a 2-D Gaussian filter. Our
Yuen, P   +5 more
core  

Multi-Scale Geometric Autoencoder

open access: yesCoRR
Autoencoders have emerged as powerful models for visualization and dimensionality reduction based on the fundamental assumption that high-dimensional data is generated from a low-dimensional manifold. A critical challenge in autoencoder design is to preserve the geometric structure of data in the latent space, with existing approaches typically ...
Qipeng Zhan   +3 more
openaire   +2 more sources

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