Results 151 to 160 of about 555,379 (343)
I-NeRV: A Single-Network Implicit Neural Representation for Efficient Video Inpainting
Deep learning methods based on implicit neural representations offer an efficient and automated solution for video inpainting by leveraging the inherent characteristics of video data.
Jie Ji, Shuxuan Fu, Jiaju Man
doaj +1 more source
A flat Klein bottle isometrically embedded in euclidean 4-space [PDF]
Casey Tompkins
openalex +1 more source
Establishment and biological characterization of radioresistant colorectal cancer cell lines
Under ionizing radiation exposure, radiation‐sensitive cancer cells exhibit oxidative stress and DNA damage, while radiation‐resistant cancer cells exhibit strong antioxidant properties and DNA damage repair. Radiotherapy resistance is a major cause of recurrence and metastasis in colorectal cancer (CRC).
Tian‐Yin Qu+10 more
wiley +1 more source
Embedding potentials for excited states of embedded species
Frozen-Density-Embedding Theory (FDET) is a formalism to obtain the upper bound of the ground-state energy of the total system and the corresponding embedded wavefunction by means of Euler-Lagrange equations [T. A. Wesolowski, Phys. Rev. A 77(1), 012504 (2008)].
openaire +5 more sources
The tumor microenvironment is a dynamic, multifaceted complex system of interdependent cellular, biochemical, and biophysical components. Three‐dimensional in vitro models of the tumor microenvironment enable a better understanding of these interactions and their impact on cancer progression and therapeutic resistance.
Salma T. Rafik+3 more
wiley +1 more source
SLC7A11 frequently migrates faster in SDS‐PAGE. The present study found that the high hydrophobicity of SLC7A11 causes its anomalous migration in SDS‐PAGE with a low concentration of acrylamide gel. Replacing isoleucine with asparagine reduced hydrophobicity and restored its normal migration at 55 kDa, revealing the role of hydrophobicity and gel ...
Nsengiyumva Emmanuel+13 more
wiley +1 more source
Embedding Compression for Teacher-to-Student Knowledge Transfer [PDF]
Common knowledge distillation methods require the teacher model and the student model to be trained on the same task. However, the usage of embeddings as teachers has also been proposed for different source tasks and target tasks. Prior work that uses embeddings as teachers ignores the fact that the teacher embeddings are likely to contain irrelevant ...
arxiv
From Node Embedding To Community Embedding
Code available at https://github.com/andompesta/nodeembedding-to ...
Zheng, Vincent W.+4 more
openaire +2 more sources