Results 81 to 90 of about 6,455,483 (301)

Data‐Driven Materials Science for Energy‐Sustainable Applications

open access: yesAdvanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

Information Transmission Strategies for Self‐Organized Robotic Aggregation

open access: yesAdvanced Robotics Research, EarlyView.
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng   +5 more
wiley   +1 more source

Investigating seamless vocabulary learning for young learners: ARCH for bridging home-based learning and classroom-based learning

open access: yesEducational Technology & Society
Existing studies have evidenced that mobile-assisted vocabulary learning, which allows students to create artefacts and engage in productive skills, can help them in vocabulary learning. However, there remains little research and validated approaches for
Yun Wen   +5 more
doaj   +1 more source

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

open access: yesAdvanced Robotics Research, EarlyView.
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley   +1 more source

Exemplary teachers' approaches to supporting vocabulary development during shared reading [PDF]

open access: yes, 2014
An analysis of recent PIRLS (Progress in International Reading Literacy Study) data has shown that a group of New Zealand children are struggling to learn to read well.
Oliver, John-Paul
core  

Enhancing Vocabulary Growth: A Comprehensive Study on Collaborative Game-Based Learning and Digital Integration

open access: yesTell-us Journal
This study explores the impact of collaborative game-based learning (GBL) and digital integration on vocabulary acquisition among English as a Foreign Language (EFL) learners.
Claudya Septriana Sitohang   +1 more
doaj   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

open access: yesAdvanced Robotics Research, EarlyView.
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

Textbook vocabulary and cultural competence: a case study in efl in the republic of Macedonia [PDF]

open access: yes, 2000
The issues of cultural content of textbooks for learning English as a foreign language and the sociocultral content of vocabulary in these same textbooks are the main focus of this thesis.
Georgievska, Emilija
core  

Student Attitudes Towards Vocabulary Learning: An Online System [PDF]

open access: yes, 2021
Vocabulary is, of course, essential for language learning. Finding an effective and efficient approach for students to acquire vocabulary in an English as a Foreign Language (EFL) context is challenging.
KIYOKAWA, Shannon   +1 more
core  

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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