Results 111 to 120 of about 2,388,151 (359)
Conduction velocity is the speed at which electrical signals travel along axons and is a crucial determinant of neural communication. Inferences about conduction velocity can now be made in vivo in humans using a measure called the magnetic resonance (MR)
Ian A Clark+3 more
doaj +1 more source
This review highlights how foundation models enhance predictive healthcare by integrating advanced digital twin modeling with multiomics and biomedical data. This approach supports disease management, risk assessment, and personalized medicine, with the goal of optimizing health outcomes through adaptive, interpretable digital simulations, accessible ...
Sakhaa Alsaedi+2 more
wiley +1 more source
Coevolutionary Neural Population Models [PDF]
We present a method for using neural networks to model evolutionary population dynamics, and draw parallels to recent deep learning advancements in which adversarially-trained neural networks engage in coevolutionary interactions. We conduct experiments which demonstrate that models from evolutionary game theory are capable of describing the behavior ...
arxiv
Conductance statistics near the Anderson transition [PDF]
Paper reviews recent numerical data for the conductance distribution of disordered systems in the critical regime and in the localized regime. Of particular interest is the non-analytical form of the critical conductance distribution in the 3D and 4D systems, non-Gaussian form of the distribution of P(ln g) in localized 3D systems.
arxiv +1 more source
Aim: Previous studies have shown that the cerebrospinal fluid (CSF) protein level correlates with the number of demyelination criteria in electromyography in adult patients with Guillain-Barré syndrome (GBS), which is a potentially life-threatening ...
Dilek Agircan+3 more
doaj +1 more source
Predicting the thermal conductivity of polymeric composites filled with BN sheets is helpful for fabricating thermal management material. In this study, a co-training style semi-supervised artificial neural network model (Co-ANN) was proposed to take ...
Yunmin Liang, Zhichun Liu, Wei Liu
doaj
Cerebral organoids were employed as a novel model to explore the neurotoxicity of soman. Soman inhibited acetylcholinesterase activity, increased cell apoptosis and upregulated endoplasmic reticulum (ER) stress markers glucose‐regulated protein 78 (GRP78), activating transcription factor 6 (ATF6) and C/EBP homologous protein (CHOP).
Yue Wei+7 more
wiley +1 more source
A Real-Time Dual-Microphone Speech Enhancement Algorithm Assisted by Bone Conduction Sensor
The quality and intelligibility of the speech are usually impaired by the interference of background noise when using internet voice calls. To solve this problem in the context of wearable smart devices, this paper introduces a dual-microphone, bone ...
Yi Zhou+3 more
doaj +1 more source
Elastomeric and soft conducting microwires for implantable neural interfaces [PDF]
Novel ultra-soft neural microwire electrodes demonstrated excellent biocompatibility, high surface charge capacity, large electrochemical surface area, and sufficient electrical properties for recording single-unit activity from rodent visual cortex.
Jenna Hanner+10 more
openaire +3 more sources
Two biomarkers of Alzheimer's disease, amyloid β‐peptide (Aβ) and tau, induce the transformation of U‐251 and other glioblastoma cell lines into neurotoxic A1‐like reactive astrocytes. This transformation is produced by cytokines and is followed by upregulation of PMCA activity and isoform expression, and is closely associated with inflammation, as ...
María Berrocal+2 more
wiley +1 more source