Results 151 to 160 of about 35,565 (288)

Layered Nanoporous Platforms for SERS Sensing

open access: yesAdvanced Materials Interfaces, EarlyView.
Here, we present a detailed investigation of the SERS performance of layered nanoporous metals. The controlled deposition of well‐defined, stacked porous layers enabled a systematic analysis of the effects of multimetallic systems in SERS experiments. Numerical models are also used to support the experimental findings.
Yanqiu Zou   +18 more
wiley   +1 more source

A Reproducible and Scalable Process for High Yield Mesenchymal Stromal Cell Extracellular Vesicles Production

open access: yesAdvanced Materials Technologies, EarlyView.
Mesenchymal stem cell derived extracellular vesicles (MSC‐EVs) are a promising therapeutic tool for regenerative medicine. However, the field lacks a reproducible high‐yield production method to answer the quantities needed for clinical translation.
Christophe Wong   +7 more
wiley   +1 more source

Research on Parameter-Efficient Knowledge Graph Completion Methods and Their Performance in the Cybersecurity Field

open access: yesIEEE Access
As an advanced knowledge management and reasoning tool, knowledge graph technology can significantly enhance the efficiency of managing and analyzing cyberthreat intelligence, providing strong technical support for cybersecurity threat identification and
Bin Chen, Hongyi Li, Ze Shi
doaj   +1 more source

Multiscale Microscopy via Automation: Dual Magnification Environmental Scanning Electron Microscopy Imaging by Frame Alternation

open access: yesAdvanced Materials Technologies, EarlyView.
An automation interface for environmental scanning electron microscopy (ESEM) enables simultaneous, interlaced data sets via frame‐by‐frame parameter changes. Demonstrated on oscillatory hydrogen oxidation over cobalt (Co) foil, dual‐magnification imaging bridges mesoscopic to microscopic length scales, capturing alternating views of surface dynamics ...
Maurits Vuijk   +7 more
wiley   +1 more source

A Contextualized BERT model for Knowledge Graph Completion

open access: yesCoRR
MuslML Workshop, 38th Conference on Neural Information Processing Systems (NeurIPS 2024)
Haji Gul 0001   +2 more
openaire   +2 more sources

Scalable Task Planning via Large Language Models and Structured World Representations

open access: yesAdvanced Robotics Research, EarlyView.
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari   +4 more
wiley   +1 more source

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

open access: yesAdvanced Robotics Research, EarlyView.
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

Durability of Soft Pneumatic Actuators: A Review and Benchmarking Protocol

open access: yesAdvanced Robotics Research, EarlyView.
Lack of durability is a key challenge hindering the broad scale adoption of soft pneumatic actuators (SPAs) in automation industries. This review provides a comprehensive overview of existing research on SPA durability, introduces a standardized durability benchmarking protocol to consolidate the testing of SPAs, and outlines promising directions for ...
Dickson Chiu Yu Wong   +2 more
wiley   +1 more source

LLM‐Integrated Human–Robot Interaction System for Microrobots

open access: yesAdvanced Robotics Research, EarlyView.
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley   +1 more source

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