Results 51 to 60 of about 23,915,049 (293)
Matched spatial transcriptomics and single‐nuclei RNA‐seq were generated for anaplastic and BRAFV600E papillary thyroid cancers revealing generic and tumor‐specific states occurring in cancer cells and in the tumor microenvironment. In this context, cancer dedifferentiation mirrored organoid maturation through ordered thyroid marker gain/loss ...
Adrien Tourneur +11 more
wiley +1 more source
The C‐terminal domain of yeast Arginyltransferase1 is essential for its catalytic activity
Arginyltransferase 1 (Ate1), a eukaryotic enzyme, catalyses arginylation, transferring arginine from tRNA‐Arg to the amino terminus of the target protein. Overexpression of Ate1 in yeast is lethal and is dependent on arginylation. This study elucidates how mutations in the cofactor‐binding and active site of Ate1 and truncation of its structural ...
Vikas Kumar Yadav +4 more
wiley +1 more source
Reversible Data Hiding in Encrypted Images With Dual Data Embedding
Typical reversible data hiding in encrypted image (RDH-EI) methods merely embed data in the encrypted domain, ignoring the requirement of the image owner for data embedding.
Yingqiang Qiu +4 more
doaj +1 more source
Chronobiology of Cancer: How Aging Fuels Oncogenesis at the Molecular Level
This graphical abstract illustrates the key biological pathways linking aging with cancer development and progression. In the upper left, cumulative exposure to ultraviolet radiation, toxins, and reactive oxygen species (ROS) causes DNA damage and genomic instability, whereas age‐related decline in repair mechanisms, such as ATM/ATR, BER, and NER ...
Anu Singh, Aroonima Misra, Sufian Zaheer
wiley +1 more source
Reversible data hiding (RDH) is a key technique in secure multimedia applications, enabling the exact recovery of both embedded data and the original cover content.
Cheonshik Kim, Ching-Nung Yang, Lu Leng
doaj +1 more source
DCT-based Reversible Data Hiding Scheme
To enhance the hiding capacity of Chang et al.’s reversible DCT-based data hiding scheme, in this paper we propose another method called a layer-1 data embedding strategy. Our proposed layer-1 strategy considers some areas not used by Chang et al.’s scheme, which we call layer-2 data embedding.
Chia-Chen Lin 0001, Pei-Feng Shiu
openaire +3 more sources
Reversible Data Hiding Using Prediction-based Adaptive Embedding [PDF]
In this paper, we propose a new algorithm in reversible data hiding with prediction-based scheme. Reversible data hiding can be implemented with two types, one is by modifying the histogram of images, named the histogram-based scheme, and the other is by
Huang, Hsiang-cheh; Chen, Yueh-hong; Chang, Feng-cheng; Li, Sheng-hong +1 more
core
Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 more
wiley +1 more source
Gene Tagging and the Data Hiding Rate [PDF]
23nd IET Irish Signals and Systems Conference, Maynooth, Ireland, 28-29th June, 2012We analyze the maximum number of ways in which one can intrinsically tag a very particular kind of digital asset: a gene, which is just a DNA sequence that encodes a ...
Balado, Félix +3 more
core +2 more sources
High-Capacity Reversible Data Hiding in Encrypted Images by Information Preprocessing
With the development of cloud computing, high-capacity reversible data hiding in an encrypted image (RDHEI) has attracted increasing attention. The main idea of RDHEI is that an image owner encrypts a cover image, and then a data hider embeds secret ...
Xi-Yan Li +4 more
doaj +1 more source

