Results 81 to 90 of about 860,879 (379)
Masking Strategies for Image Manifolds
We consider the problem of selecting an optimal mask for an image manifold, i.e., choosing a subset of the pixels of the image that preserves the manifold's geometric structure present in the original data.
Dadkhahi, Hamid, Duarte, Marco F.
core +1 more source
Determining the energetic and informational components of speech-on-speech masking
Identification of target speech was studied under masked conditions consisting of two or four independent speech maskers. In the reference conditions, the maskers were colocated with the target, the masker talkers were the same sex as the target, and the
G. Kidd+5 more
semanticscholar +1 more source
In thyroid cancer patients, high‐dose (≥7.4 GBq) radioactive iodine therapy (RAIT) was associated with a higher prevalence of clonal hematopoiesis (variant allele frequency >2%) in individuals aged ≥50 years (OR = 2.44). In silico analyses showed that truncating PPM1D mutations conferred a selective advantage under these conditions.
Jaeryuk Kim+11 more
wiley +1 more source
The contrast transfer function (CTF) is an imaging aberration that is a major resolution‐limiting factor in cryo‐electron microscopy (cryo‐EM). Precise CTF estimation is key to overcoming this limitation, but is particularly challenging in cryo‐electron tomography (cryo‐ET) data. Here, we present an approach for using geometric information to assist in
Sagar Khavnekar, William Wan
wiley +1 more source
Current trends in single‐cell RNA sequencing applications in diabetes mellitus
Single‐cell RNA sequencing is a powerful approach to decipher the cellular and molecular landscape at a single‐cell resolution. The rapid development of this technology has led to a wide range of applications, including the detection of cellular and molecular mechanisms and the identification and introduction of novel potential diagnostic and ...
Seyed Sajjad Zadian+6 more
wiley +1 more source
Privacy and Explainability: The Effects of Data Protection on Shapley Values
There is an increasing need to provide explainability for machine learning models. There are different alternatives to provide explainability, for example, local and global methods. One of the approaches is based on Shapley values.
Aso Bozorgpanah+2 more
doaj +1 more source
Collecting and Analyzing Failure Data of Bluetooth Personal Area Networks [PDF]
This work presents a failure data analysis campaign on Bluetooth Personal Area Networks (PANs) conducted on two kind of heterogeneous testbeds (working for more than one year).
CINQUE, MARCELLO+2 more
core +1 more source
Is Siesta Masking Masked Hypertension? [PDF]
To the Editor: Banegas et al,1 for the Spanish Society of Hypertension Ambulatory Blood Pressure Monitoring Registry Investigators, have examined the sensitivity and specificity of office blood pressure measurements in assessing control of hypertension in treated patients. The “gold standard” reference was the daytime component of a 24-hour ambulatory
Michael Bursztyn, Iddo Z. Ben-Dov
openaire +2 more sources
AMOM: Adaptive Masking over Masking for Conditional Masked Language Model
Transformer-based autoregressive (AR) methods have achieved appealing performance for varied sequence-to-sequence generation tasks, e.g., neural machine translation, summarization, and code generation, but suffer from low inference efficiency. To speed up the inference stage, many non-autoregressive (NAR) strategies have been proposed in the past few ...
Xiao, Yisheng+6 more
openaire +2 more sources
Microfluidic electro‐viscoelastic manipulation of extracellular vesicles
The electro‐viscoelastic manipulation as a potential method for separation of particles based on size. The particles introduced as a sheath flow migrate to the channel center under the influence of simultaneously applied electric field and pressure driven flow.
Seyedamirhosein Abdorahimzadeh+7 more
wiley +1 more source