Results 111 to 120 of about 24,275,785 (260)
Efficient Detection of Irrelevant User Reviews Using Machine Learning
User reviews such as SNS feeds and blog writings have been widely used to extract opinions, complains, and requirements about a given place or product from users’ perspective.
Cheolgi Kim, Hyeon Gyu Kim
doaj +1 more source
Molecular characterization of covRS mutations in M1UK Streptococcus pyogenes
Group A Streptococcus (GAS) acquires covRS mutations driving a hypervirulent bacterial state, frequently associated with invasive disease‐like necrotizing fasciitis. We demonstrate that the newly emerged M1UK GAS lineage can also acquire these mutations.
Jarrad Pritchard +12 more
wiley +1 more source
Evaluating classification accuracy is a key component of the training and validation stages of thematic map production, and the choice of metric has profound implications for both the success of the training process and the reliability of the final ...
Sarah Farhadpour +2 more
doaj +1 more source
Research on data imbalance in intrusion detection using CGAN. [PDF]
Zhao G +5 more
europepmc +1 more source
Hyperosmotic stress triggers the relocation of the CFIm complex from the nucleus to the cytoplasm. This shift creates a nuclear ‘stoichiometric bottleneck’, limiting CFIm availability for mRNA processing. Consequently, specific mRNAs like NUDT21 and DICER1 undergo targeted 3′UTR shortening, demonstrating how spatial protein dynamics drive rapid ...
Hitomi Soumiya +2 more
wiley +1 more source
Evaluating the effect of γ‐oryzanol on MASLD pathology using a medaka fish model
This study explores a liver disease called MASLD, which is increasing worldwide and can lead to serious damage. Researchers used medaka fish instead of rodents to test a food compound, γ‐oryzanol. Fish fed this compound had less liver fat and healthier gut bacteria.
Yukako Ito +7 more
wiley +1 more source
The role of data imbalance bias in the prediction of protein stability change upon mutation. [PDF]
Fang J.
europepmc +1 more source
Accurate and noninvasive prostate cancer detection using plasma‐derived extracellular vesicle RNA
Plasma extracellular vesicles were captured with WGA‐conjugated magnetic beads and profiled for RNA biomarkers. A three‐RNA panel (NM_024955, NR_047469, and NR_002564) distinguished prostate cancer from healthy controls and benign prostatic hyperplasia, supporting a simple, noninvasive approach to improve prostate cancer detection.
Hanping Wei, Haoran Wu, Wei Feng
wiley +1 more source
Enhancing classification performance over noise and imbalanced data problems [PDF]
This research presents the development of techniques to handle two issues in data classification: noise and imbalanced data problems. Noise is a significant problem that can degrade the quality of training data in any learning algorithm.
Jeatrakul, Piyasak
core
Parks and Gardens Data Service
Parks and Gardens UK is the leading on-line resource for historic parks and gardens providing freely accessible, accurate and inspiring information on UK parks, gardens and designed landscapes and all activities concerned with their promotion ...
Parks and Gardens Data Service
core +1 more source

