Results 81 to 90 of about 20,128 (303)
Capacitorless DC–DC regulator as a candidate topology for photovoltaic solar facilities [PDF]
Postprint (published ...
Martínez García, Herminio
core
Effect of soy in men with type 2 diabetes mellitus and subclinical hypogonadism: a randomised controlled study [PDF]
Context: Isoflavones found in soy products have a chemical structure similar to estrogen, leading to concerns of an adverse estrogenic effect in men, particularly in those with type 2 diabetes mellitus (T2DM) who have low testosterone levels due to ...
Atkin, Stephen L. +5 more
core +1 more source
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 +17 more
wiley +1 more source
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 +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 +2 more
core +1 more source
CACLENS: A Multitask Deep Learning System for Enzyme Discovery
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 +5 more
wiley +1 more source
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 +2 more
doaj +1 more source
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 +9 more
wiley +1 more source
Total ionization dose and electromagnetic pulse synergistic effects on low dropout linear regulator
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 +5 more
doaj +1 more source
In this paper, a high performance adaptive digital low-dropout voltage regulator (ADLDO) is proposed for Internet-of-Things (IoT) applications. In the proposed ADLDO, a fully synthesizable adaptive digital controller is designed.
Muhammad Asif +10 more
doaj +1 more source

