Results 61 to 70 of about 117,002 (264)
Molecular Oncology, EarlyView.The novel styrylquinazolinone‐based molecule W1B effectively suppresses glioblastoma by inhibiting IGF1R and EGFR. In high‐glucose microenvironments driving tumor resistance, W1B acts synergistically with the EGFR inhibitor dacomitinib. This combination safely blocks compensatory survival signaling in zebrafish xenograft models. Showcasing promising in
Patryk Rurka +9 more
wiley +1 more source
IEEE AccessIn the context of the low-carbon transition of energy systems, power system operating conditions exhibit strong stochasticity, making rapid and accurate characterization of the steady-state security region boundary essential for online security ...
Hongyin Liu +6 more
doaj +1 more source
Data Augmentation by Pairing Samples for Images Classification
CoRR, 2018 Data augmentation is a widely used technique in many machine learning tasks, such as image classification, to virtually enlarge the training dataset size and avoid overfitting. Traditional data augmentation techniques for image classification tasks create new samples from the original training data by, for example, flipping, distorting, adding a small ...
openaire +2 more sources
Molecular Oncology, EarlyView.Single‐cell multi‐omics reveals epigenetic heterogeneity across therapy‐adaptive tumor states, including quiescent/dormant, drug‐tolerant persister, and EMT‐like phenotypes. By linking regulatory features with state‐associated biomarkers, these approaches inform biomarker‐guided therapeutic strategies for evolving tumors.
Hee Jung Kim +3 more
wiley +1 more source
Geomatics, Natural Hazards & RiskLandslide susceptibility mapping (LSM) commonly relies on the assumption of geographical similarity. However, existing sample augmentation methods assume global similarity and often overlook regional differences in landslide-forming mechanisms, limiting ...
Yuqian Yang +6 more
doaj +1 more source
FEBS Open Bio, EarlyView.UiO‐66(Zr) metal–organic frameworks are chemically stable, biocompatible, and highly tunable nanomaterials. Their modular structure enables controlled drug delivery, multimodal bioimaging, and light‐activated photodynamic therapy, supporting integrated diagnostic and therapeutic (theranostic) applications in cancer and biomedical research.
Veronika Huntošová +2 more
wiley +1 more source
Enhanced mixup for improved time series analysis
IJAIN (International Journal of Advances in Intelligent Informatics)Time series data analysis is crucial for real-world applications. While deep learning has advanced in this field, it still faces challenges, such as limited or poor-quality data.
Khoa Tho Anh Nguyen +4 more
doaj +1 more source
Synthetic Data Generation for Augmenting Small Samples
CoRRSmall datasets are common in health research. However, the generalization performance of machine learning models is suboptimal when the training datasets are small. To address this, data augmentation is one solution. Augmentation increases sample size and is seen as a form of regularization that increases the diversity of small datasets, leading them ...
Dan Liu +8 more
openaire +2 more sources
Aquaporin‐3 and aquaporin‐5 impact the development of pancreatic ductal adenocarcinoma spheroids
FEBS Open Bio, EarlyView.Schematic representation of the role of aquaporin‐3 (AQP3) and aquaporin‐5 (AQP5) in pancreatic ductal adenocarcinoma (PDAC). Both proteins are upregulated in PDAC and are associated with tumor progression and metastatic potential. Silencing AQP3 or AQP5 in PDAC spheroids results in decreased diameter, area, and overall growth, underscoring their key ...
Catarina Pimpão +3 more
wiley +1 more source
GAN-Based Image Augmentation for Finger-Vein Biometric Recognition
IEEE Access, 2019 Deep learning methods, and especially convolutional neural networks (CNNs), have made a considerable breakthrough in various fields of machine vision, basically by employing large-scale labeled databases.
Jianfeng Zhang +3 more
doaj +1 more source