Results 81 to 90 of about 20,128 (302)

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

A Fast-Transient Output-Capacitor-Less Low-Dropout Regulator With Direct-Coupled Slew Rate Enhancement

IEEE Access
An output capacitorless low-dropout (OCL-LDO) regulator with a direct-coupled slew rate enhancement (DCSRE) technique. This paper proposes a low-dropout regulator with a simple structure, fast transient response, and the ability to reduce overshoot and ...
Shao-Ku Kao, Jian-Jiun Chen, Chien-Hung Liao, Yu-Jen Lu, Jer-Chyi Wang   +4 more
doaj   +1 more source

Ultra-Low-Dropout Linear Regulator [PDF]

A radiation-tolerant, ultra-low-dropout linear regulator can operate between -150 and 150 C. Prototype components were demonstrated to be performing well after a total ionizing dose of 1 Mrad (Si).
Lepkowski, William, Thornton, Trevor, Wilk, Seth   +2 more
core   +1 more source

CACLENS: A Multitask Deep Learning System for Enzyme Discovery

Advanced Science, EarlyView.
CACLENS, a multimodal and multi‐task deep learning framework integrating cross‐attention, contrastive learning, and customized gate control, enables reaction type classification, EC number prediction, and reaction feasibility assessment. CACLENS accelerates functional enzyme discovery and identifies efficient Zearalenone (ZEN)‐degrading enzymes.
Xilong Yi, Yingzhu Tan, Huikang Lin, Guoqing Zhang, Ye Tian, Aibo Wu   +5 more
wiley   +1 more source

A Fast-Transient Output Capacitor-Less Low-Dropout Regulator Using Active-Feedback and Current-Reuse Feedforward Compensation

Energies, 2018
In this paper, output capacitor-less low-dropout (LDO) regulator using active-feedback and current-reuse feedforward compensation (AFCFC) is presented. The open-loop transfer function was obtained using small-signal modeling.
Eun-Taek Sung, Sangyong Park, Donghyun Baek   +2 more
doaj   +1 more source

Inferring Gene Regulatory Networks From Single‐Cell RNA Sequencing Data by Dual‐Role Graph Contrastive Learning

Advanced Science, EarlyView.
RegGAIN is a novel and powerful deep learning framework for inferring gene regulatory networks (GRNs) from single‐cell RNA sequencing data. By integrating self‐supervised contrastive learning with dual‐role gene representations, it consistently outperforms existing methods in both accuracy and robustness.
Qiyuan Guan, Jiating Yu, Jieyi Pan, Fan Yuan, Jiadong Ji, Rusong Zhao, Zhi‐Ping Liu, Bingqiang Liu, Ling‐Yun Wu, Duanchen Sun   +9 more
wiley   +1 more source

Total ionization dose and electromagnetic pulse synergistic effects on low dropout linear regulator

AIP Advances
As a power management chip widely used in various electronic systems, the low dropout regulator (LDO) plays a crucial role in the normal operation of electronic systems.
Zitao Zhao, Lin Wen, Yudong Li, Jie Feng, Bingkai Liu, Qi Guo   +5 more
doaj   +1 more source

Wireless Power Transfer System Architectures for Portable or Implantable Applications

Energies, 2016
This paper discusses the near-field inductive coupling wireless power transfer (WPT) at the system level, with detailed analyses on each state-of-the-art WPT output voltage regulation topologies.
Yan Lu, Dongsheng Brian Ma
doaj   +1 more source

Axin2 as regulatory and therapeutic target in newborn brain injury and remyelination. [PDF]

, 2011
Permanent damage to white matter tracts, comprising axons and myelinating oligodendrocytes, is an important component of brain injuries of the newborn that cause cerebral palsy and cognitive disabilities, as well as multiple sclerosis in adults. However,
Baranzini, Sergio E, Bruce, Charlotte C, Fancy, Stephen PJ, Franklin, Robin JM, Harrington, Emily P, Huang, Eric J, Nusse, Roel, Otero, Jose J, Rowitch, David H, Silbereis, John C, Yuen, Tracy J, Zhao, Chao   +11 more
core   +3 more sources

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