Results 81 to 90 of about 32,447 (225)

Digital Microneedles for Multiplexed Transdermal Sensing via Fluorescent QR Codes

Advanced Materials, EarlyView.
Digital fluorescent microneedles encode biochemical information in skin into scannable QR codes through threshold‐activated probes that generate binary on/off signals. By transforming analog fluorescence into discrete digital patterns, this platform enables calibration‐free, multiplexed transdermal sensing of physiologically relevant biomarkers ...
Farbod Abazar, Shahrokh Vahabi, Elena Bellotti, Martina Corsi, Irene Nocera, Paola Orlandi, Guido Bocci, Giuseppe Barillaro   +7 more
wiley   +1 more source

Assembling a True “Olympic Gel” From over 16 000 Combinatorial DNA Rings

Advanced Materials, EarlyView.
Olympic gels are an elusive class of soft matter, consisting of molecular networks held together purely by mechanically interlocked rings. Their topological structure promises unique properties and functions, but their synthesis has proven notoriously difficult.
Sarah K. Speed, Yu‐Hsuan Peng, Azra Atabay, Krishna Gupta, Toni Müller, Carolin Fischer, Ilka M. Hermes, Jens‐Uwe Sommer, Michael Lang, Elisha Krieg   +9 more
wiley   +1 more source

Concurrent collaborative captioning

, 2013
Captioned text transcriptions of the spoken word can benefit hearing impaired people, non native speakers, anyone if no audio is available (e.g. watching TV at an airport) and also anyone who needs to review recordings of what has been said (e.g.
Wald, Mike
core  

When Poor Exciton Dissociation Limits Photocurrents in Organic Solar Cells: Why Low Offset Non‐Fullerene Acceptor Blends Can't Be Efficient

Advanced Materials, EarlyView.
The energetic offset between the donor and the acceptor components in organic photoactive layers is central to the tradeoff between photovoltage and photocurrent losses. This Perspective covers the most important issues surrounding this topic in non‐fullerene acceptor blends, from the difficulty of accurately determining state energies and driving ...
Dieter Neher, Manasi Pranav
wiley   +1 more source

RS-LLaVA: A Large Vision-Language Model for Joint Captioning and Question Answering in Remote Sensing Imagery

Remote Sensing
In this paper, we delve into the innovative application of large language models (LLMs) and their extension, large vision-language models (LVLMs), in the field of remote sensing (RS) image analysis. We particularly emphasize their multi-tasking potential
Yakoub Bazi, Laila Bashmal, Mohamad Mahmoud Al Rahhal, Riccardo Ricci, Farid Melgani   +4 more
doaj   +1 more source

Liquids as Reinforcements for Anisotropic and Tough Soft Matter Composites

Advanced Materials, EarlyView.
Liquid metal droplets are shaped and oriented within soft elastomers to create all‐soft matter composites with programmable mechanical anisotropy. These liquid inclusions act as fiber‐like reinforcements, enabling directional stiffness, enhanced toughness, and controlled crack steering under extreme deformation, offering new routes to resilient soft ...
Gwyneth M. Schloer, Ohnyoung Hur, Ravi Tutika, Aaron Haake, Eric J. Markvicka, Michael D. Bartlett   +5 more
wiley   +1 more source

Model Semantic Attention (SemAtt) With Hybrid Learning Separable Neural Network and Long Short-Term Memory to Generate Caption

IEEE Access
Image captioning is a hot topic that combines a multidiscipline task between computer vision and natural language processing. One of the tasks in the geological field is to make descriptions from the images of geological rocks. The task of a geologist is
Agus Nursikuwagus, Rinaldi Munir, Masayu L. Khodra, Deshinta Arrova Dewi   +3 more
doaj   +1 more source

Live video captioning

Multimedia Tools and Applications
Abstract Dense video captioning involves detecting and describing events within video sequences. Traditional methods operate in an offline setting, assuming the entire video is available for analysis. In contrast, in this work we introduce a groundbreaking paradigm: Live Video Captioning (LVC), where captions must
Blanco Fernández, Eduardo, Gutiérrez Álvarez, Carlos, Nasri Mohammadshahi, Nadia, Maldonado Bascón, Saturnino, López Sastre, Roberto Javier   +4 more
openaire   +4 more sources

Captioning Ultrasound Images Automatically

, 2019
We describe an automatic natural language processing (NLP)-based image captioning method to describe fetal ultrasound video content by modelling the vocabulary commonly used by sonographers and sonologists. The generated captions are similar to the words spoken by a sonographer when describing the scan experience in terms of visual content and ...
Alsharid, M, H, Sharma., Drukker, L, Chatelain, P, Papageorghiou, AT, Noble, JA   +5 more
openaire   +4 more sources

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

Advanced 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, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source