Results 41 to 50 of about 59,408 (267)

Decoding spatial layout patterns of traditional houses in urban kampung settlements

Journal of Architecture and Urbanism
Understanding and identifying the spatial layout patterns of traditional houses is a pivotal feature for preserving and enhancing the cultural heritage of twelve houses which have been an object to be studied.
Nova Asriana, Rendy Perdana Khidmat
doaj   +1 more source

Plasmonic Enhancement of Fluorescence and Protein Dynamics in Living Mammalian Cells

Advanced Materials, EarlyView.
This study demonstrates plasmonic enhancement of the function of fluorescent voltage sensing proteins (genetically encoded voltage indicators, (GEVIs), QuasAr6) in live mammalian cells. Coupling to plasmonic nanoparticles does not just increase fluorescence, but influences the protein photocycle, creating a hybrid sensor with its response speed to ...
Marco Locarno, Qiangrui Dong, Marco Post, Xin Meng, Cristiano Glessi, Nynke Marije Hettema, Nidas Brandsma, Sebbe Blokhuizen, Alejandro Castañeda Garcia, Srividya Ganapathy, Thieme Schmidt, Lars van Roemburg, Bing Xu, Chun‐Ting Cho, Liedewij Laan, Miao‐Ping Chien, Daan Brinks   +16 more
wiley   +1 more source

Association of the triglyceride–glucose index with coronary artery disease complexity in patients with acute coronary syndrome

Cardiovascular Diabetology, 2023
Aim The triglyceride–glucose (TyG) index has been shown to be an independent predictor for the progression and prognosis of coronary artery disease (CAD).
Shiqiang Xiong, Qiang Chen, Yu Long, Hong Su, Yan Luo, Hanxiong Liu, Yingzhong Chen, Qiao Feng, Xiufen Peng, Maoling Jiang, Xiuqiong Yu, Zhen Zhang, Lin Cai   +12 more
doaj   +1 more source

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

Advanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam, William S. Rogers, Chen‐Yu Hu, Ming‐Yuan Song, Xinyu Bao, Shehrin Sayed, Jean Anne C. Incorvia   +6 more
wiley   +1 more source

Attention Modulates Electrophysiological Responses to Simultaneous Music and Language Syntax Processing

Brain Sciences, 2019
Music and language are hypothesized to engage the same neural resources, particularly at the level of syntax processing. Recent reports suggest that attention modulates the shared processing of music and language, but the time-course of the effects of ...
Daniel J. Lee, Harim Jung, Psyche Loui
doaj   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Diversity within complex syntax: Complex syntax tokens of children with Developmental Language Disorder

Journal of Child Language Acquisition and Development
Constructivist accounts of children’s acquisition of complex syntax make a distinction between children’s initial complex syntax tokens and later-produced complex syntax tokens.
Ian Morton, Lan-Anh Pham
doaj   +1 more source

Uncommon Word Order of Yoda in Star Wars Movie Series: A Syntactic Analysis

Nobel: Journal of Literature and Language Teaching, 2019
This paper analyzes Yoda’s syntax order to discover the word order which occurs in his speeches and the factors affecting his preferred syntax. Data were collected from   Yoda’s utterances in George Lucas’ Star Wars saga.
Yuliyana Yuliyana, Barli Bram
doaj   +1 more source

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

LLM‐Integrated Human–Robot Interaction System for Microrobots

Advanced 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