Results 101 to 110 of about 1,083,294 (265)
Noisier2Inverse: Self-Supervised Learning for Image Reconstruction With Correlated Noise
We propose Noisier2Inverse, a correction-free, self-supervised deep learning method for general inverse problems. Our approach learns a reconstruction function without requiring ground truth data and is applicable in settings where measurement noise is ...
Nadja Gruber +5 more
doaj +1 more source
Incomplete Data and Potential Risks of Drugs in People with Obesity. [PDF]
Apovian CM +4 more
europepmc +1 more source
Spatial heterogeneity of hotspot mutations and clonal relatedness in ovarian endometrioid carcinoma
Spatially resolved analysis revealed heterogeneous distributions of selected cancer‐associated mutations within ovarian endometrioid carcinomas. Shared mutations between paired endometrial and ovarian tumors supported clonal relatedness. These findings highlight the value of sampling multiple tumor regions when interpreting molecular profiles ...
Takahito Ashihara +10 more
wiley +1 more source
Ambiguities, Built-In Biases, and Flaws in Big Data Insight Extraction
I address the challenge of extracting reliable insights from large datasets using a simplified model that illustrates how hierarchical classification can distort outcomes. The model consists of discrete pixels labeled red, blue, or white.
Serge Galam
doaj +1 more source
Optimizing photoactivation of PA‐mCherry for optical pooled CRISPR screens
Photoactivatable PA‐mCherry finds widespread use to optically tag individual cells. However, confocal 405 nm UV laser‐scanning (normal scan) is much less efficient than widefield UV illumination, limiting the use of PA‐mCherry on confocal instruments. We remedy this limitation by reporting that rapid and repeated confocal scanning with a low‐intensity,
Sravasti Mukherjee +3 more
wiley +1 more source
In actual industrial scenarios, collecting a complete dataset with all fault categories under the same conditions is challenging, leading to a loss in fault category knowledge in single-source domains.
Juan Tian, Shun Zhang, Gang Xie, Hui Shi
doaj +1 more source
RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells
RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour +2 more
wiley +1 more source
Multi-source data-driven Bayesian network for risk analysis of maritime accidents in the high sea
Incomplete data significantly hampers risk analysis for high-sea maritime accidents (HSMAs). This paper introduces a novel multi-source data-driven Bayesian network (DDBN) framework to address this limitation.
Xiaotong Qu +7 more
doaj +1 more source
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
A K-Means-Based Interpolation Algorithm With Lp-Norm and Feature Weighting
The integrity of data is crucial for the majority of existing data analysis methods. However, incomplete and unbalanced datasets from the collection and organization process will affect analysis accuracy.
Yipeng Miao, Yenan Xu
doaj +1 more source

