Results 191 to 200 of about 1,450,549 (348)

Communication network-based train control system

open access: yes机车电传动
The automatic configuration (inauguration) of train communication networks (TCN) is emphasized as a distinguishing feature of train control and management systems (TCMS).
LU Xiangyang   +5 more
doaj  

MEA‐seqX: High‐Resolution Profiling of Large‐Scale Electrophysiological and Transcriptional Network Dynamics

open access: yesAdvanced Science, EarlyView.
How can we fully understand brain function and disease without uncovering the causal coordination between molecular and neural activity across space and time? MEA‐seqX tackles this challenge by integrating advanced electrophysiology, spatial transcriptomics, and artificial intelligence predictions, revealing multiscale dynamics.
Brett Addison Emery   +9 more
wiley   +1 more source

Machine Learning‐Enhanced Optimization for High‐Throughput Precision in Cellular Droplet Bioprinting

open access: yesAdvanced Science, EarlyView.
A high‐throughput droplet‐based cellular bioprinting platform enhanced with machine learning optimizes five key printing parameters—bioink viscosity, nozzle size, printing time, printing pressure, and cell concentration—to enable accurate prediction of droplet size.
Jaemyung Shin   +7 more
wiley   +1 more source

An Aerial–Aquatic Hitchhiking Robot with Remora‐Inspired Tactile Sensors and Thrust Vectoring Units

open access: yesAdvanced Intelligent Systems, EarlyView., 2023
An untethered aerial–aquatic hitchhiking robot that can be remotely controlled for flying, swimming, and transiting air–water boundaries rapidly (0.16 s), is presented. Notably, it can autonomously attach to various surfaces in both air and water environments using a remora‐inspired suction disc with flexible tactile sensors.
Lei Li   +12 more
wiley   +1 more source

Corrigendum: Exploring the Co-occurrence of Manual Verbs and Actions in Early Mother-Child Communication

open access: yesFrontiers in Psychology, 2020
María José Rodrigo   +2 more
doaj   +1 more source

Exploring the Latent Information in Spatial Transcriptomics Data via Multi‐View Graph Convolutional Network Based on Implicit Contrastive Learning

open access: yesAdvanced Science, EarlyView.
STMIGCL is an implicit contrastive learning‐based multi‐view graph convolutional network framework designed for downstream tasks such as spatial domain recognition, trajectory inference, and spatially variable gene identification. By combining multi‐view learning with contrastive learning and employing contrastive learning methods that enhance contrast
Sheng Ren   +5 more
wiley   +1 more source

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