Results 51 to 60 of about 1,601 (210)

Behaviour of Lightweight Concrete Wall Panel under Axial Loading: Experimental and Numerical Investigation toward Sustainability in Construction Industry

Buildings, 2021
Awareness of sustainability in construction has led to the utilization of waste material such as oil palm shell (OPS) in concrete production. The feasibility of OPS as alternative aggregates in concrete has been widely studied at the material level ...
Muhammad Ekhlasur Rahman, Timothy Zhi Hong Ting, Hieng Ho Lau, Brabha Nagaratnam, Keerthan Poologanathan   +4 more
doaj   +1 more source

Recent advances in multifunctional soft robots: A materials–structures–systems co‐design perspective for synergistic integration

FlexMat, EarlyView.
Abstract Soft robots, engineered from highly compliant materials, offer superior adaptability and safety in unstructured environments compared to their rigid counterparts. Recent advancements, fueled by bio‐inspiration and material programmability, have led to the rapid co‐evolution of their core modules: actuation, sensing, protection, energy, and ...
Qiulei Liu, Zicao Peng, Chong Sun, Haitao Yang   +3 more
wiley   +1 more source

Case study of fiber reinforced, lightweight concrete, intended for production of precast elements

Case Studies in Construction Materials
The presented work was focused on developing a lightweight, quasi self-compacting, fiber reinforced concrete mix for pre-cast use. The research activities covered a complex iteration design process and experimental tests leading to the selection of the ...
Patrycja Bancerz, Jacek Katzer, Petr Miarka   +2 more
doaj   +1 more source

Medical Reasoning With Large Language Models: A Systematic Review and Evaluation

iNew Medicine, EarlyView.
ABSTRACT Large language models (LLMs) have achieved strong performance on medical exam–style tasks, motivating growing interest in their deployment in real‐world clinical settings. However, clinical decision‐making is inherently safety‐critical, context‐dependent, and conducted under evolving evidence.
Xiaohan Ren, Chenxiao Fan, Wenyin Ma, Hongliang He, Chongming Gao, Xiaoyan Zhao, Fuli Feng   +6 more
wiley   +1 more source

Design of Self Compacting Lightweight Concrete Using Acidic Pumice with Different Powder Materials

, 2017
This paper reports an experimental study on the design of self-compacting lightweight concrete using acidic pumice with different powder materials. For this aim, nine self-compacting lightweight concretes were designed with inclusion of two different ...
Taşkin, V., N. Bozkurt, Bozkurt, N., V. Taşkin   +3 more
core   +1 more source

Residual Neural Network Compensation of Temperature‐Induced Gamma Shift in OLED Display

Journal of the Society for Information Display, EarlyView.
The figure summarizes the proposed white‐only sensing framework and highlights its key advantages in improving color accuracy and reducing calibration time ABSTRACT Organic light‐emitting diode (OLED) displays exhibit temperature‐induced chromatic shifts and luminance‐dependent nonlinear responses, causing CIEDE2000 color difference (ΔE) and local ...
Ching‐Hsiang Hsu, Mang Ou‐Yang
wiley   +1 more source

Development of self-compacting lightweight concrete made of palm oil clinker [PDF]

, 2015
This report presents the findings on development of self-compacting lightweight concrete using lightweight aggregate. In this study, palm oil clinker (POC) is used to replace normal gravel as course aggregate in concrete.
Joohari, Ilya
core  

Startups Driving Artificial Intelligence Into Clinical Dermatology

JEADV Clinical Practice, EarlyView.
ABSTRACT Artificial intelligence (AI) is rapidly transitioning from innovation to routine clinical application in dermatology. This review examines how AI‐enabled technologies are being developed and integrated across diverse clinical purposes and workflows.
Dominique Du Crest, Benjamin Miguel Monteagudo, Stanislas Vandier, Mullarkey Dan, Svedenhag Per, Jon Friis, Monisha Madhumita, Lilit Garibyan, Tu‐Anh Duong, Merete Haedersdal, Vinzent Kevin Ortner   +10 more
wiley   +1 more source

Investigating the Performance of the Attention Mechanism and the Interpretability in the Concrete Strength Prediction Model

Buildings
To address the limitations of traditional models in capturing complex features for concrete strength prediction, this study proposes a hybrid deep learning approach that integrates multiple attention mechanisms with gated recurrent units (GRU).
Ziang Jia, Noor Azline Mohd Nasir, Nabilah Abu Bakar   +2 more
doaj   +1 more source

Polymaterial Lattice Discrete Particle Model for the Optimization of Lightweight Aggregate Concrete: Intragranular Fracture and Compression Behavior

International Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.
ABSTRACT Lightweight aggregate concrete (LWAC) offers clear advantages for sustainable construction, including reduced density and improved thermal insulation. However, its mechanical and fracture behavior is difficult to characterize due to the heterogeneity and brittle crushing of porous lightweight aggregates.
Yuhui Lyu, Fan Zheng, Matthew Troemner, Erol Lale, Ke Yu, Dono Toussaint, Hailong Ye, Gianluca Cusatis   +7 more
wiley   +1 more source