Results 81 to 90 of about 249,622 (267)
A physics‐informed generative framework introduces Directional Latent Hybridization (DLH) for the deterministic inverse design of nonlinear metamaterials. By hybridizing dominant traits from parent geometries in the latent space, DLH overcomes the instabilities of stochastic models to ensure high structural precision at high densities.
Semin Ahn +2 more
wiley +1 more source
Interpretation and Attribution of Coastal Land Subsidence: An InSAR and Machine Learning Perspective
Subsidence, the downward vertical land motion (VLM), plays a pivotal role in contributing to the risk of coastal flooding. Accurately estimating VLM and identifying its potential features related to subsidence can provide crucial information for ...
Xiaojun Qiao +6 more
doaj +1 more source
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source
The Case of an 18‐Year‐Old Female With Persistent Vague Pain in the Top of the Occiput
Annals of Clinical and Translational Neurology, EarlyView.
Jianping Zhong, Binglin Lai
wiley +1 more source
Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder +3 more
wiley +1 more source
IGFBP4 is upregulated in granulosa cells of aged ovaries across monkeys, mice, and humans. It inhibits YAP signaling, thereby suppressing cell proliferation and contributing to follicular dysfunction. Deletion of Igfbp4 in granulosa cells enhances ovulatory output, improves hormone profiles, and reproductive performance in aged female mice, suggesting ...
Qianhui Hu +8 more
wiley +1 more source
Artificial vagina conformation and composition for semen collection
Artificial vaginas (AVs) are tools used to collect semen from domestic and exotic species for artificial insemination and managed breeding programs. AVs differ widely in their shape, size, component parts, and material composition to fit species-specific
Jacquline Rich, Dara N Orbach
doaj +1 more source
Corpus-based research into translation and interpreting, taken here to subsume Corpus-based Translation Studies and Corpus-based Interpreting Studies, is a branch of Translation Studies in which corpus analysis is used as a major paradigm and research methodology for the analysis of translated and interpreted language and what makes them distinct from ...
Castagnoli, Sara, Kajzer-Wietrzny, Marta
openaire +3 more sources
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo +6 more
wiley +1 more source

