Results 51 to 60 of about 20,128 (302)

A Wireless Implantable System for Facilitating Gastrointestinal Motility. [PDF]

open access: yes, 2019
Gastrointestinal (GI) electrical stimulation has been shown in several studies to be a potential treatment option for GI motility disorders. Despite the promising preliminary research progress, however, its clinical applicability and usability are still ...
Dubrovsky, Genia   +4 more
core   +1 more source

Recent Progress on Flexible Multimodal Sensors: Decoupling Strategies, Fabrication and Applications

open access: yesAdvanced Materials, EarlyView.
In this review, we establish a tripartite decoupling framework for flexible multimodal sensors, which elucidates the underlying principles of signal crosstalk and their solutions through material design, structural engineering, and AI algorithms. We also demonstrate its potential applications across environmental monitoring, health monitoring, human ...
Tao Wu   +10 more
wiley   +1 more source

A Fast-Transient-Response NMOS LDO with Wide Load-Capacitance Range for Cross-Point Memory

open access: yesSensors, 2022
In this paper, a fast-transient-response NMOS low-dropout regulator (LDO) with a wide load-capacitance range was presented to provide a V/2 read bias for cross-point memory.
Luchang He   +6 more
doaj   +1 more source

ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products

open access: yesAdvanced Robotics Research, EarlyView.
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar   +8 more
wiley   +1 more source

CMOS low dropout regulator with dynamic zero compensation [PDF]

open access: yesElectronics Letters, 2007
The output capacitor and its equivalent series resistance (ESR) often limit the stability of a conventional low dropout regulator (LDR). A CMOS LDR with dynamic zero compensation is presented to tolerate the wide range of the output capacitor and the ESR. The stability constraints for the output capacitor with the ESR are derived.
Chen, C.-L., Huang, W.-J., Liu, S.-I.
openaire   +1 more source

Multi‐Site Transfer Classification of Major Depressive Disorder: An fMRI Study in 3335 Subjects

open access: yesAdvanced Science, EarlyView.
The study proposes graph convolution network with sparse pooling to learn the hierarchical features of brain graph for MDD classification. Experiment is done on multi‐site fMRI samples (3335 subjects, the largest functional dataset of MDD to date) and transfer learning is applied, achieving an average accuracy of 70.14%.
Jianpo Su   +14 more
wiley   +1 more source

Power lateral pnp transistor operating with high current density in irradiated voltage regulator [PDF]

open access: yesNuclear Technology and Radiation Protection, 2013
The operation of power lateral pnp transistors in gamma radiation field was examined by detection of the minimum dropout voltage on heavily loaded low-dropout voltage regulators LM2940CT5, clearly demonstrating their low radiation hardness, with ...
Vukić Vladimir Đ.   +1 more
doaj   +1 more source

Catu Daya Tegangan DC Variabel dengan Dua Tahap Regulasi (Switching dan Linier) [PDF]

open access: yes, 2011
Regulator Linier mempunyai keluaran dengan tegangan riak yang kecil namun mempunyai efisiensi yang rendah. Regulator pensaklaran (switching) beroperasi dengan efisiensi tinggi namun mempunyai tegangan riak yang besar.
Darjat, Darjat   +2 more
core  

STUDY OF FULLY-INTEGRATED LOW-DROPOUT REGULATORS [PDF]

open access: yes, 2020
Department of Electrical EngineeringThis thesis focuses on the introduction of fully-integrated low-dropout regulators (LDOs). Recently, for the mobile and internet-of-things applications, the level of integration is getting higher.
Bang, Jooeun
core  

CLinNET: An Interpretable and Uncertainty‐Aware Deep Learning Framework for Multi‐Modal Clinical Genomics

open access: yesAdvanced Science, EarlyView.
Identifying disease‐causing genes in neurocognitive disorders remains challenging due to variants of uncertain significance. CLinNET employs dual‐branch neural networks integrating Reactome pathways and Gene Ontology terms to provide pathway‐level interpretability of genomic alterations.
Ivan Bakhshayeshi   +5 more
wiley   +1 more source

Home - About - Disclaimer - Privacy