Results 91 to 100 of about 61,829,048 (296)
Attitudes of cancer patients toward ctDNA‐based liquid biopsy for follow‐up
This mixed‐methods study explored cancer patients' experiences, knowledge, and preferences regarding ctDNA‐based liquid biopsy for follow‐up. Awareness of ctDNA was low and recall of previous liquid biopsy was imperfect, yet acceptance was high.
Siddharth Chhajlani +7 more
wiley +1 more source
The cultural landscape of Gubeikou, with distinct historical stratification and event-relatedness, bears unique value. Against the backdrop of increasingly prominent themes of cultural heritage development and transformation, research on Gubeikou’s ...
Ding He +3 more
doaj +1 more source
Vascular normalization confers an endothelial immune suppressive gene expression profile
We compare the immunoregulatory gene expression profiles of healthy endothelial cells or endothelial cells from tumors having a normalized endothelium (low leakage) with that of wild‐type tumors (high leakage) and observe that the wild‐type tumor endothelium exhibits immunostimulatory properties.
Liqun He, Michael Welsh
wiley +1 more source
TEXT COMPLEXITY AND TEXT SIMPLIFICATION [PDF]
A thesis submitted in partial fulfilment of the requirements of the University of Wolverhampton for the degree of Doctor of PhilosophyDue to the fact that emergency situations can lead to substantial losses, both financial and in terms of human lives, it
Temnikova, Irina
core +2 more sources
Learning DALTS for cross-modal retrieval
Cross-modal retrieval has been recently proposed to find an appropriate subspace, where the similarity across different modalities such as image and text can be directly measured.
Zheng Yu, Wenmin Wang
doaj +1 more source
RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz +6 more
wiley +1 more source
Synthetically generated text for supervised text analysis
AbstractLarge language models are a powerful tool for conducting text analysis in political science, but using them to annotate text has several drawbacks, including high cost, limited reproducibility, and poor explainability. Traditional supervised text classifiers are fast and reproducible, but require expensive hand annotation, which is especially ...
openaire +2 more sources
Learning Ontologies to Improve Text Clustering and Classification [PDF]
Bloehdorn S, Cimiano P, Hotho A. Learning Ontologies to Improve Text Clustering and Classification. In: Spiliopoulou M, Kruse R, Nürnberger A, Borgelt C, Gaul W, eds.
Spiliopoulou, Myra +7 more
core
Eye-ConTact: Towards a new design for text-analysis tools
Anyone who has used a text-analysis tool like TACT has at some point been frustrated by its limitations and wished that a feature or two could be added.
Bradley, J., Rockwell, Geoffrey
core +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

