Results 131 to 140 of about 1,225,622 (295)
Advanced Robotics Research, EarlyView.Pak Biawak, a necrobot, embodies an unusual fusion of biology and robotics. Designed to repurpose natural structures after death, it challenges conventional boundaries between nature and engineering. Its movements are precise yet unsettling, raising questions about sustainability, ethics, and the untapped potential of biointegrated machines.
Leo Foulds +2 more
wiley +1 more source
How Local Governments Structure Contracts with Private Firms: Economic Theory and Evidence on Solid Waste and Recycling Contracts [PDF]
Solid waste management services are contracted out to private firms in many U.S. communities. Household waste collection, transport, and disposal are relatively straightforward services to define within the terms of a contract. The addition of recycling,
Walls, Margaret
core
From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures
Advanced 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
Multilayer Structure Ammoniated Collagen Fibers for Fast Adsorption of Anionic Dyes
ACS Omega, 2021 Wei Luo +9 more
doaj +1 more source
A Perspective on the Applications of Triphasic Gas Storage in Electrochemical Systems
Advanced Science, EarlyView.Gas storage in microporous materials positioned locally at an electrode or electrocatalyst surface enhances electrochemical processes. Abstract Microporous materials store gases under dry conditions (e.g., hydrogen or oxygen via physisorption), but in some cases microporous materials also show triphasic (e.g., in a solid|gas|liquid system) gas storage ...
Zhongkai Li +9 more
wiley +1 more source
Machine Learning for Green Solvents: Assessment, Selection and Substitution
Advanced 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
A life cycle based energy and greenhouse gas emission assessment of C&D waste and container glass recycling in the City of Cape Town [PDF]
, 2012 Includes abstract.Includes bibliographical references.The rate at which the world is consuming energy is growing, and with climate change an immediate concern (Stern, 2006), it is incumbent for the global society to find alternate ways of fuelling human ...
Vossberg, Cherilyn
core
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
Advanced Science, EarlyView.This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
An Economic Analysis of the Packaging Waste Recovery Note System in the UK [PDF]
In order to cope with the increasing scarcity of final dump sites for household wastes, the UK recently introduced an environmental policy targeted at the firms that produce and sell products that generate packaging wastes.
Norimichi Matsueda, Yoko Nagase
core
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Advanced Science, EarlyView.Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source