Results 21 to 30 of about 56,805 (219)
This review presents recent progress in vision‐augmented wearable interfaces that combine artificial vision, soft wearable sensors, and exoskeletal robots. Inspired by biological visual systems, these technologies enable multimodal perception and intelligent human–machine interaction.
Jihun Lee +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
A Microbial Lipid‐ATP Synthase Axis Fuels NK Cell Antitumor Activity
This study focuses on the mechanism by which gut microbiota‐derived outer membrane vesicles (OMVs) regulate NK cell antitumor activity. B. intestinalis is identified to decrease extra‐intestinal tumor growth via its OMVs enriched in sphingosine (SP).
Kaiyuan Yu +16 more
wiley +1 more source
Cloud services for e-learning [PDF]
Cloud computing is growing rapidly in almost every sector including education. Many educational institutions do not have the ability to maintain the resources and/or infrastructures required to run e-learning systems and are looking for cloud based solutions. This paper introduces the benefits and limitations of cloud based e-learning.
openaire +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Mapping the “Supply–Demand–Flow” of Ecosystem Services for Ecosystem Management in China
This study develops a “supply–demand–flow” framework clarifies how ecosystem services move between regions by distinguishing potential and actual supply and demand. Using integrated biophysical–socioeconomic modeling, nine services in China were mapped.
Yikun Zhang +3 more
wiley +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
Engineered extracellular vesicles displaying Ephrin‐B2 selectively target Ephrin‐B4–expressing ovarian cancer cells, enabling precise delivery in patient‐derived models. This scalable bio‐manufacturing platform reveals a versatile strategy to exploit Ephrin signaling for highly specific therapeutic payload delivery and motivates exploration of tailored
Nihar Godbole +17 more
wiley +1 more source
A self‐evolving Pd/Ov‐FeTiO3 photothermal catalyst, inspired by lunar soil, enables efficient extraterrestrial CO2 conversion. The formation of transient active interfaces and oxygen vacancies extends light absorption to the infrared range and optimizes electron transfer.
Yahang Wang +11 more
wiley +1 more source
Understanding and monitoring cloud services [PDF]
Cloud services have changed the way computing power is delivered to customers. The advantages of the cloud model have fast resulted in powerful providers. However, this success has not come without problems. Cloud providers have been related to major failures, including outages and performance degradation.
openaire +2 more sources

