Results 181 to 190 of about 2,432,332 (208)

From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures

open access: yesAdvanced Robotics Research, EarlyView.
This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley   +1 more source

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

open access: yesAdvanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao   +6 more
wiley   +1 more source

Machine Learning for Green Solvents: Assessment, Selection and Substitution

open access: yesAdvanced Science, EarlyView.
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta   +4 more
wiley   +1 more source

Physical Origin of Temperature Induced Activation Energy Switching in Electrically Conductive Cement

open access: yesAdvanced Science, EarlyView.
The temperature‐induced Arrhenius activation energy switching phenomenon of electrical conduction in electrically conductive cement originates from structural degradation within the biphasic ionic‐electronic conduction architecture and shows percolation‐governed characteristics: pore network opening dominates the low‐percolation regime with downward ...
Jiacheng Zhang   +7 more
wiley   +1 more source

Mitochondria and Neuromast Tagging With Fluorescent Gallium‐Triapine Analogues: In Cellulo MP FLIM and Zebrafish Live Imaging

open access: yesAdvanced Science, EarlyView.
Fluorescent BODIPY‐conjugated thiosemicarbazone ligands and their Ga(III), In(III), and Fe(III) complexes, inspired by Triapine, are developed as theranostic agents. Multiphoton FLIM and confocal microscopy in cancer cells and zebrafish reveal real‐time uptake, mitochondrial localisation, and whilst spectroscopic assays indicated preserved complex ...
Megan J. Green   +15 more
wiley   +1 more source

Combating Inflammation and Promoting Anabolism in Osteoarthritic Cartilage Defect With an MMP13‐Sensing Dual‐Drug Scaffold

open access: yesAdvanced Science, EarlyView.
ABSTRACT Osteoarthritis (OA) is a widespread degenerative joint condition marked by progressive cartilage breakdown, and a chronic inflammatory microenvironment, where conventional therapies largely fail to halt disease progression. To address this unmet need, an intra‐articularly implantable, disease‐responsive scaffold was developed for combinatorial
Zhen Zhang   +6 more
wiley   +1 more source

Recent Advances in Laser‐Induced Graphene‐Based Gas Sensors: From Sensing Mechanisms to Biomedical Applications

open access: yesAdvanced Science, EarlyView.
Laser‐induced graphene (LIG) provides a scalable, laser‐direct‐written route to porous graphene architecture with tunable chemistry and defect density. Through heterojunction engineering, catalytic functionalization, and intrinsic self‐heating, LIG achieves highly sensitive and selective detection of NOX, NH3, H2, and humidity, supporting next ...
Md Abu Sayeed Biswas   +6 more
wiley   +1 more source

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

open access: yesAdvanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo   +6 more
wiley   +1 more source

Review of Physicochemical Properties and Analytical Characterization of Lignocellulosic Biomass [PDF]

open access: yesRenewable and Sustainable Energy Reviews, 2017
Lignocellulosic biomass is the most abundant and renewable material in the world for the production of biofuels. Using lignocellulosic biomass derived biofuels could reduce reliance on fossil fuels and contribute to climate change mitigation.
Anthony Bridgwater   +2 more
exaly   +2 more sources
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