Results 61 to 70 of about 47,566 (189)
Aging and the Division of Labor of Theory of Mind Skills in Metaphor Comprehension
Abstract While some aspects of pragmatic competence are known to decline with age, for metaphor skills the evidence is inconclusive, possibly due to heterogeneity in the assessment tools. Furthermore, the previous literature on age‐related changes in pragmatic skills has rarely considered the role of Theory of Mind (ToM), which is described as one of ...
Irene Ceccato +6 more
wiley +1 more source
Sound offset responses become highly informative in the auditory cortex
Abstract figure legend Using large datasets of neural responses to diverse sounds recorded across four stages of the mouse auditory system (depicted and colour‐coded on the left), offset responses occurring after the termination of each sound (time window indicated by the orange shaded area superimposed with activity traces) were characterized and it ...
Charly Lamothe +3 more
wiley +1 more source
Abstract figure legend We used an optogenetic gain‐of‐function manipulation to investigate how sensory signals from two subtypes of Aβ low threshold mechanoreceptors (LTMRs) contribute to the cortical representation of touch. CatCh, a sensitive and fast channelrhodopsin variant, enables pulsed‐light generation of high‐frequency action potential trains ...
Wanyi Liu +2 more
wiley +1 more source
Physics‐encoded transfer learning for scale‐up modeling of CHO cell bioreactors
Abstract Developing reliable predictive models for mammalian cell bioreactors, particularly Chinese hamster ovary (CHO) cultures widely used in biopharmaceutical manufacturing, remains challenging due to severe data scarcity in industrial‐scale reactors.
Muyang Li, Ming Xiao, Zhe Wu
wiley +1 more source
phys-MCP: A Control Plane for Heterogeneous Physical Neural Networks
Physical neural networks (PNNs) embed computation directly in material dynamics, including molecular, chemical, biological, photonic, memristive, and mechanical substrates. They are attractive for edge computing, especially at the extreme edge, where computation can be placed at the interface to sensing, actuation, or the physical process itself ...
Fischer, Stefan +2 more
openaire +2 more sources
This study introduces a structurally cascaded physics‐informed graph neural network to model tumor microenvironments accurately. By enforcing a directional dependency from mechanical strain to biochemical secretion, the method eliminates unphysical artifacts and significantly improves predictive accuracy for precision healthcare applications.
Xinyuan Chen +2 more
wiley +1 more source
A Mechanism for Analyzing the Energy Consumption and Environmental Impact of LoRa Sensors Over Time
An SPN‐based mechanism, validated against NS‐3 with MAPE below 0.3%, reveals how packet generation rate and spreading factor shape LoRa sensor lifetime, energy consumption, and operational CO2$$ {}_2 $$ emissions, supporting sustainable planning of large‐scale IoT deployments. ABSTRACT Long Range (LoRa) sensors are widely adopted in Internet of Things (
Vandirleya Barbosa +5 more
wiley +1 more source
If You Really Want to Know How AI Is Changing Peer Review Talk to Early Career Researchers
ABSTRACT The Harbingers study of early career researchers (ECRs), their work life and scholarly communications, began by studying generational—Millennial—change (H1 c.2016), then pandemic change (H2 c2020) and is now investigating yet another: artificial intelligence (H3 2024–).
David Nicholas +9 more
wiley +1 more source
Abstract Physics‐based handcrafted features, such as P‐wave amplitude derived from early parts of active source ultrasonic waveforms, successfully predict shear stress evolution. This study investigates whether feature extraction can be automated by leveraging full active source ultrasonic waveforms recorded during a laboratory friction experiment.
Prabhav Borate +3 more
wiley +1 more source
Dominant Biases in Atmospheric Radiative Heating Rates in Global Climate Models
Abstract The Earth's energy budget is fundamental to climate, and its accurate simulations in global climate models (GCMs) are essential for climate projections. While studies have validated energy budget at the top of the atmosphere (TOA) and surface, the layer‐wise atmospheric energy budget remains largely unexplored because of limited observations ...
Han Huang, Yi Huang
wiley +1 more source

