Results 81 to 90 of about 56,459 (364)

Crosstalk between the ribosome quality control‐associated E3 ubiquitin ligases LTN1 and RNF10

FEBS Letters, EarlyView.
Loss of the E3 ligase LTN1, the ubiquitin‐like modifier UFM1, or the deubiquitinating enzyme UFSP2 disrupts endoplasmic reticulum–ribosome quality control (ER‐RQC), a pathway that removes stalled ribosomes and faulty proteins. This disruption may trigger a compensatory response to ER‐RQC defects, including increased expression of the E3 ligase RNF10 ...
Yuxi Huang, Satoshi Hashimoto, Sota Ito, Chisato Kikuguchi, Miho Hoshi, Kiyoshi Yamaguchi, Yoichi Furukawa, Toru Suzuki, Toshifumi Inada   +8 more
wiley   +1 more source

A Novel LSB Steganography Technique Using Image Segmentation [PDF]

Journal of Universal Computer Science
Steganography is a process to hide data inside a cover file mostly used in media files like image, video, and audio files. Least significant bit (LSB) steganography is a technique where the least significant bits of pixels are used for information hiding.
Yasir Yakup Demircan, Serhat Ozekes
doaj   +3 more sources

Peptide‐based ligand antagonists block a Vibrio cholerae adhesin

FEBS Letters, EarlyView.
The structure of a peptide‐binding domain of the Vibrio cholerae adhesin FrhA was solved by X‐ray crystallography, revealing how the inhibitory peptide AGYTD binds tightly at its Ca2+‐coordinated pocket. Structure‐guided design incorporating D‐amino acids enhanced binding affinity, providing a foundation for developing anti‐adhesion therapeutics ...
Mingyu Wang, Grace Du, Charity Yongo‐Luwawa, Angelina Lu, Brett Kinrade, Kim Munro, Karl E. Klose, William D. Lubell, Peter Davies, Shuaiqi Guo   +9 more
wiley   +1 more source

A Survey on Crypto-Steganographic Schemes and A Use Case in Healthcare System

Journal of Engineering Technology and Applied Physics, 2019
Information sharing has become prevalent due to the expansion of social networking in this 21st century. However, electronic devices are vulnerable to various kinds of attacks.
Mei Ling Phang, Swee Huay Heng
doaj   +1 more source

A New High Capacity Image Steganography Method Combined With Image Elliptic Curve Cryptography and Deep Neural Network

IEEE Access, 2020
Image steganography is a technology that hides sensitive information into an image. The traditional image steganography method tends to securely embed secret information in the host image so that the payload capacity is almost ignored and the ...
Xintao Duan, Daidou Guo, Nao Liu, Baoxia Li, Mengxiao Gou, Chuan Qin   +5 more
doaj   +1 more source

Interplay between circadian and other transcription factors—Implications for cycling transcriptome reprogramming

FEBS Letters, EarlyView.
This perspective highlights emerging insights into how the circadian transcription factor CLOCK:BMAL1 regulates chromatin architecture, cooperates with other transcription factors, and coordinates enhancer dynamics. We propose an updated framework for how circadian transcription factors operate within dynamic and multifactorial chromatin landscapes ...
Xinyu Y. Nie, Jerome S. Menet
wiley   +1 more source

AN ENHANCED APPROACH UTILIZING AN OPTIMIZED DISCRETE WAVELET TRANSFORM FOR IMAGE STEGANOGRAPHY IN MEDICAL IMAGING

Mağallaẗ Al-kūfaẗ Al-handasiyyaẗ
Image steganography constitutes a specific form of steganography wherein an image is employed as the concealing medium. Medical Image Steganography represents a distinctive subfield within the broader domain of Image Steganography.
Hayder A. Hadi, Haider S. Al-Mumen, Mustafa R. Ismael   +2 more
doaj   +1 more source

Approaches to obtaining fingerprints of steganography tools which embed message in fixed positions

Forensic Science International: Reports, 2019
Recently, more and more steganography tools are exploited to embed malicious code into images by attackers, which bring harm to society. Thus, it has been a tricky problem, for which needs to detect the stego-images correctly.
Pengjie Cao, Xiaolei He, Xianfeng Zhao, Jimin Zhang   +3 more
doaj   +1 more source

Recent Advances of Image Steganography With Generative Adversarial Networks

IEEE Access, 2020
In the past few years, the Generative Adversarial Network (GAN), which proposed in 2014, has achieved great success. There have been increasing research achievements based on GAN in the field of computer vision and natural language processing.
Jia Liu, Yan Ke, Zhuo Zhang, Yu Lei, Jun Li, Minqing Zhang, Xiaoyuan Yang   +6 more
doaj   +1 more source

Real‐time assay of ribonucleotide reductase activity with a fluorescent RNA aptamer

FEBS Letters, EarlyView.
Ribonucleotide reductases (RNR) synthesize DNA building blocks de novo, making them crucial in DNA replication and drug targeting. FLARE introduces the first single‐tube real‐time coupled RNR assay, which enables isothermal tracking of RNR activity at nanomolar enzyme levels and allows the reconstruction of allosteric regulatory patterns and rapid ...
Jacopo De Capitani, Noemi E. Nwosu, Viktoria Gocke, Müge Kasanmascheff, Hannes Mutschler   +4 more
wiley   +1 more source