Results 161 to 170 of about 16,532 (241)

Data‐Driven Feedback Identifies Focused Ultrasound Exposure Regimens for Improved Nanotheranostic Targeting of the Brain

Advanced Science, EarlyView.
Machine learning models predict in real time the onset of harmful microbubble collapse during microbubble‐enhanced focused ultrasound (MB‐FUS) and enable dynamic adjustment of sonication to prevent cavitation‐induced damage. This predictive control expands the safe operating window for bloodbrain barrier opening, enhancing nanoparticle delivery and ...
Hohyun Lee, Victor Menezes, Shiqin Zeng, Chulyong Kim, Cynthia M. Baseman, Jae Hyun Kim, Samhita Padmanabhan, Pranav Premdas, Naima Djeddar, Anton Bryksin, Nikhil Pandey, Pavlos Anastasiadis, Anthony J. Kim, Tobey J. MacDonald, Chetan Bettegowda, Graeme F. Woodworth, Felix J. Herrmann, Costas Arvanitis   +17 more
wiley   +1 more source

Lightweight data protection framework for secure edge transmission using IOTA-MAM. [PDF]

Sci Prog
Lu F, Huang H, Cai Z, Chen J.
europepmc   +1 more source

Modification Strategies of Carbon‐Based Electrodes From Structural Regulation to Multifunctional Integration

Advanced Science, EarlyView.
Tracing the evolution from structural regulation to multifunctional integration, this paper systematically analyzes modification strategies for carbon‐based electrodes. It evaluates how element doping, surface functionalization, and composite material design affect the electrode performance, and offers perspectives on future applications and challenges
Yunlei Wang, Shitao Dou, Yifan Wu, Mingguang Wang, Taibin Wu   +4 more
wiley   +1 more source

A smart grid data sharing scheme supporting policy update and traceability. [PDF]

Sci Rep
Yang X, Yao K, Li S, Du X, Wang C.
europepmc   +1 more source

Generating Dynamic Structures Through Physics‐Based Sampling of Predicted Inter‐Residue Geometries

Advanced Science, EarlyView.
While static structure prediction has been revolutionized, modeling protein dynamics remains elusive. trRosettaX2‐Dynamics is presented to address this challenge. This framework leverages a Transformer‐based network to predict inter‐residue geometric constraints, guiding conformation generation via physics‐based iterative sampling. The resulting method
Chenxiao Xiang, Wenkai Wang, Zhenling Peng, Jianyi Yang   +3 more
wiley   +1 more source

PRISM: privacy-preserving rare disease analysis using fully homomorphic encryption. [PDF]

Bioinformatics
Akkaya G, Erdoğmuş N, Akgün M.
europepmc   +1 more source

m1A‐Dependent TRMT6/61A‐ARG2 Axis Drives Protumorigenic Senescence by Remodeling the Tumor Microenvironment

Advanced Science, EarlyView.
Uncovering a new layer of translational control, this study reveals how TRMT6/TRMT61A‐mediated tRNA‐m1A methylation drives pro‐tumorigenic senescence in colorectal cancer. By selectively enhancing ARG2 translation, this epitranscriptomic axis triggers an NF‐κB‐dependent SASP.
Tuoyang Li, Mingzhe Huang, Jinlin Cai, Xuan Li, Yaokang Xing, Rongzhao He, Zixiao Wan, Yingguo Gan, Ziming Li, Jingrong Weng, Yumo Xie, Yuanhui Wu, Xiaoxia Liu, Xiaolin Wang, Yanxin Luo, Meijin Huang, Jinxin Lin, Huichuan Yu   +17 more
wiley   +1 more source

Blockchain-Based Trusted Data Management with Privacy Preservation for Secure IoT Systems. [PDF]

Sensors (Basel)
Zhou H, Gao H, Ma Z, Lai G.
europepmc   +1 more source

Ascites circRNA ASCOR Drives Platinum Resistance of High‐Grade Serous Ovarian Cancer by Facilitating RPA1 Nuclear Translocation

Advanced Science, EarlyView.
High‐grade serous ovarian carcinoma (HGSOC) is plagued by platinum resistance, with malignant ascites closely linked to poor outcomes. Here, we identify ASCOR, a circRNA enriched in ascites small extracellular vesicles (sEVs) from platinum‐resistant HGSOC patients, as a predictor of poor survival. ASCOR enhances platinum resistance in vitro and in vivo
Hanyuan Liu, Chenchen Zhu, Xuelin Yao, Yi Liu, Jing Zhu, Yuebo Li, Hanjie Xu, Cheng Peng, Ge Shan, Liang Chen, Ying Zhou   +10 more
wiley   +1 more source

Privacy-preserving federated credit risk models: evaluating differential privacy and homomorphic encryption techniques. [PDF]

Sci Rep
Naresh VS, Ayyappa D.
europepmc   +1 more source