Results 111 to 120 of about 20,287 (302)

A push–pull FVF LDO with full‐spectrum PSR and fast transient response

Electronics Letters
A push–pull low‐dropout regulator based on flipped voltage follower is proposed and designed in 65 nm CMOS, which has a push‐current mode and a pull‐current one.
Heng Zheng, Baixin Liu, Chen Wang, Xukun Wang, Bo Zhou   +4 more
doaj   +1 more source

The Effects of ELDRS at Ultra-Low Dose Rates [PDF]

, 2011
We present results on the effects on ELDRS at dose rates of 10, 5, 1, and 0.5 mrad(Si)/s for a variety of radiation hardened and commercial devices. We observed low dose rate enhancement below 10 mrad(Si)/s in several different parts.
Albarian, Rafi, Burns, Samuel, Carts, Martin, Chaumont, Geraldine, Chen, Dakai, Cox, Stephen, Duperray, Herve, Forney, James, Holcombe, Bruce, Kruckmeyer, Kirby, LaBel, Kenneth, Little, Bradley, Ouellet, Al, Pease, Ronald, Phan, Anthony, Salzman, James   +15 more
core   +1 more source

AS‐pHopt: An Optimal pH Prediction Model Enhanced by Active Site of Enzymes

Advanced Intelligent Discovery, EarlyView.
To address the low accuracy of enzyme optimal pH (pHopt) prediction, this study develops active site‐based pHopt (AS‐pHopt), a prediction model enhanced by active site information and pseudo‐label prediction. Integrating key structural and physicochemical features affecting enzyme pHopt, AS‐pHopt uses Evolutionary Scale Modeling (ESM)‐2 with active ...
Wenxiang Song, Xinmin Li, Hongbo Yu, Le Xiong, Guixia Liu, Weihua Li, Yun Tang   +6 more
wiley   +1 more source

Printed Wearable Sweat Rate Sensor for Continuous In Situ Perspiration Measurement

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A wireless wearable sweat rate sensor system is presented, featuring digital 3D direct‐write printing on a flexible substrate with microfluidic layers for continuous, real‐time monitoring. Printed encapsulated metal electrodes are used for capacitance measurements, achieving high sensitivity (0.01 μL min−1) while maintaining a compact and lightweight ...
Mohammad Shafiqul Islam, Sangwon Cha, Md Farhad Hassan, Wenxin Cai, Tahsin Sejat Saniat, Cedar Rose Leach, Yasser Khan   +6 more
wiley   +1 more source

A Low-Voltage Multistage Output Capacitor-Less LDO Using Dynamic Transient Enhancement Technique for SoC Applications

IEEE Access
This paper introduces a sub-1V output capacitorless low dropout regulator (OCL-LDO) for fast load transients. The OCL-LDO structures a multi-gain stage error amplifier and employs a dynamic transient enhancement (DTE) technique to improve response time ...
T. Nagateja, Ke-Horng Chen, Asisa Panigrahy, Leenendra Chowdary Gunnam, M. Durga Prakash   +4 more
doaj   +1 more source

A Generalizable Transformer Framework for Gene Regulatory Network Inference from Single‐Cell Transcriptomes

Advanced Intelligent Systems, EarlyView.
FTGRN introduces an LLM‐enhanced framework for gene regulatory network inference through a two‐stage workflow. It combines a Transformer‐based model, pretrained on GPT‐4 derived gene embeddings and regulatory knowledge, with a fine‐tuning stage utilizing single‐cell RNA‐seq data.
Guangzheng Weng, Hyobin Kim, Patrick Martin, Junil Kim, Tae‐Hyung Kim, Gi‐Hoon Nam, Dongha Kim, Kyoung Jae Won   +7 more
wiley   +1 more source

Autonomous Robotic Colonoscopy: A Supervised Learning Approach for Enhanced Navigation and Collision Detection

Advanced Intelligent Systems, EarlyView.
A novel autonomous robotic colonoscopy is introduced through supervised learning approaches. The proposed system consists of 3 degrees of freedom motorized colonoscope with an integrated navigation module that can infer a target steering point and collision probability.
Bohyun Hwang, Dae Kyung Sohn, Seonggun Joe, Byungkyu Kim   +3 more
wiley   +1 more source

Adaptive Autonomy in Microrobot Motion Control via Deep Reinforcement Learning and Path Planning Synergy

Advanced Intelligent Systems, EarlyView.
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi, Bairong Zhu, Haoyu Liu, Tingting Yu   +3 more
wiley   +1 more source

Designing Low Dropout Regulator with Low Settling Time, High Power Supply Rejection and Low Line and Load Regulation

Majlesi Journal of Electrical Engineering
Low dropout regulators are one of the most important factures of many portable devices. Thus, consider to the complexity of the circuits and increasing request for portable devices, for increasing battery life and minimizing supply noise, regulators with
Najmeh Khanian, Abbas Golmakani
doaj  

A community‐driven approach to address substance use and create a Great Plains American Indian addiction and recovery research agenda

American Journal of Community Psychology, EarlyView.
Abstract Substance use, specifically opioid and methamphetamine use, is of increasing concern among American Indian (AI) populations in the Great Plains. This community‐driven participatory study investigated the impacts of substance use and community‐defined needs in treating addiction.
Brynn Luger, Anna Kihlström, Brinda Sivaramakrishnan, Allison Kelliher, Frankie Kropp, Carmen Rosa, T. John Winhusen, Donald Warne, the CTN0129 participating Tribal communities   +8 more
wiley   +1 more source