Results 81 to 90 of about 217,704 (247)

Transducers Across Scales and Frequencies: A System‐Level Framework for Multiphysics Integration and Co‐Design

open access: yesAdvanced Materials Technologies, EarlyView.
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu   +8 more
wiley   +1 more source

Study of Electron Transfer Process Between Fullerenes and Membrane Cells of E-coli in Presence of Dihydrostreptomycin in NaCl and Sucrose Medias

open access: yesInternational Journal of Electrochemical Science, 2015
The electrical potential difference on the Escherichia coli membrane was utilized for theoretical study of electron transfer (ET) process between fullerenes and the membrane cells of Escherichia coli bacteria.
Narges Zolfaghar-Kerahroudi   +1 more
doaj   +1 more source

Linking Device Performance to Nanoscale Photoactivation of Grain Boundaries in 2D Hybrid Halide Perovskites

open access: yesAdvanced Materials Technologies, EarlyView.
The opto‐electronic response of polycrystalline (PEA)2PbBr4 thin films is investigated by correlating macroscopic photodetector performance with nanoscale mapping techniques. Grain boundary density is systematically tuned through crystallization control and linked to device responsivity.
Camilla Bordoni   +10 more
wiley   +1 more source

Left hemisphere structural connectivity abnormality in pediatric hydrocephalus patients following surgery

open access: yesNeuroImage: Clinical, 2016
Neuroimaging research in surgically treated pediatric hydrocephalus patients remains challenging due to the artifact caused by programmable shunt. Our previous study has demonstrated significant alterations in the whole brain white matter structural ...
Weihong Yuan   +13 more
doaj   +1 more source

Substituent Effects on Cyanine Dyes Vary with Position and Chain Length

open access: yesAdvanced Optical Materials, EarlyView.
In cyanines, substituent effects vary as a function of substituent position and cyanine length. Electron‐donating‐ and ‐withdrawing groups at meso‐ and α‐positions of 4n+1/4n−1 long cyanines (n = 1, 2, 3…) cause opposing, hypsochromic and bathochromic shifts of the 1st UV–vis absorption bands.
David Dunlop   +2 more
wiley   +1 more source

Cortical thickness and structural covariance network alterations in cerebral amyloid angiopathy: A graph theoretical analysis

open access: yesNeurobiology of Disease
Aims: This study investigates large-scale brain network alterations in cerebral amyloid angiopathy (CAA) using structural covariance network (SCN) analysis and graph theory based on 7 T MRI.
Yijun Lin   +5 more
doaj   +1 more source

Brain functional connectivity in sleep-related hypermotor epilepsy

open access: yesNeuroImage: Clinical, 2018
Objectives: To evaluate functional connectivity (FC) in patients with sleep-related hypermotor epilepsy (SHE) compared to healthy controls. Methods: Resting state fMRI was performed in 13 patients with a clinical diagnosis of SHE (age=38.3±11.8years, 6M)
Stefania Evangelisti   +12 more
doaj   +1 more source

Information Transmission Strategies for Self‐Organized Robotic Aggregation

open access: yesAdvanced Robotics Research, EarlyView.
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng   +5 more
wiley   +1 more source

AutomataGPT: Transformer‐Based Forecasting and Ruleset Inference for Two‐Dimensional Cellular Automata

open access: yesAdvanced Science, EarlyView.
We introduce AutomataGPT, a generative pretrained transformer (GPT) trained on synthetic spatiotemporal data from 2D cellular automata to learn symbolic rules. Demonstrating strong performance on both forward and inverse tasks, AutomataGPT establishes a scalable, domain‐agnostic framework for interpretable modeling, paving the way for future ...
Jaime A. Berkovich   +2 more
wiley   +1 more source

Different Topological Properties of EEG-Derived Networks Describe Working Memory Phases as Revealed by Graph Theoretical Analysis

open access: yesFrontiers in Human Neuroscience, 2018
Several non-invasive imaging methods have contributed to shed light on the brain mechanisms underlying working memory (WM). The aim of the present study was to depict the topology of the relevant EEG-derived brain networks associated to distinct ...
Jlenia Toppi   +11 more
doaj   +1 more source

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