ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
Tail-Latency-Aware Federated Learning with Pinching Antenna: Latency, Participation, and Placement. [PDF]
Lin Y, Ding Z.
europepmc +1 more source
Pellet Printing for Soft Robotic Devices
Fused Granulate Fabrication (FGF) is established here as a reliable method for fabricating soft, airtight robotic devices. Through coordinated optimization of hardware, material selection, and process parameters, this approach enables high‐speed printing of thermoplastic elastomers with silicone‐like softness and modulus.
Yijia Wu +6 more
wiley +1 more source
Investigating perspective taking and caregiver-proxy-child communication attitude agreement in early childhood stuttering. [PDF]
Winters KL, Byrd CT.
europepmc +1 more source
Customizing Tactile Sensors via Machine Learning‐Driven Inverse Design
ABSTRACT Replicating the sophisticated sense of touch in artificial systems requires tactile sensors with precisely tailored properties. However, manually navigating the complex microstructure‐property relationship results in inefficient and suboptimal designs.
Baocheng Wang +15 more
wiley +1 more source
Characteristics, interventions, and outcomes of factitious disorder imposed on another (FDIA): a systematic review of 455 perpetrators and 469 victims. [PDF]
Wang D, Zhao M, Yin J, La Y.
europepmc +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
Pareto-Based Diagnostics and Selection for Mechanics-Synergy Trade-Offs in Unmeasured Muscle Activation Reconstruction. [PDF]
Jiang PH, Chan KY.
europepmc +1 more source
Injured or cut peripheral nerves can be surgically rerouted to reinnervate new muscle targets. This study demonstrates reinnervated muscles exhibit enhanced separability between individual motor unit signals, which can simplify signal recording and decomposition. These findings highlight the potential of reinnervated muscle to serve as a key biological
Kiara N Quinn +11 more
wiley +1 more source

