Cyclic Olefin Copolymers as Versatile Materials for Advanced Engineering Applications
Cyclic olefin copolymers (COCs) are presented as highly versatile materials combining tunable synthesis, excellent optical properties, and mechanical robustness. Their potential spans microfluidics, bioengineering, and advanced electronics, while emerging self‐healing and sustainable solutions highlight future opportunities.
Giulia Fredi +3 more
wiley +1 more source
This article presents an alternative way of evaluating the efficiency of the electric distribution companies in Brazil. This assessment is currently performed and designed by the National Electric Energy Agency (ANEEL), a Brazilian regulatory agency, to ...
Thiago Gomes Leal Ganhadeiro +4 more
doaj +1 more source
A network Data Envelopment Analysis to estimate nations' efficiency in the fight against SARS-CoV-2. [PDF]
Pereira MA +4 more
europepmc +1 more source
Efficiency and Productivity Analysis in Regulation and Governance [PDF]
This paper surveys the application of efficiency and productivity analysis to recent regulatory experience, especially in Europe. From a review of regulatory case studies, particularly of network industries, it is clear that regulatory practice differs ...
Thomas Weyman-Jones
core
Light‐Actuated Fiber‐Climbing Inchworm Robot Toward Endoluminal Navigation
A kirigami‐inspired soft inchworm robot harnesses optical energy from a customized side‐emitting optical fiber, guaranteeing its propulsion along the fiber body. The wavelength‐selective responsiveness of dye‐functionalized liquid crystal elastomers and the application of temporal illumination patterns enable sequential control of robot components. The
Antonio Lobosco +6 more
wiley +1 more source
Using network data envelopment analysis to assess the sustainability and resilience of healthcare supply chains in response to the COVID-19 pandemic. [PDF]
Azadi M +5 more
europepmc +1 more source
Active Learning‐Accelerated Discovery of Fibrous Hydrogels with Tissue‐Mimetic Viscoelasticity
Active learning accelerates the design of fibrous hydrogels that mimic the viscoelasticity of native tissues. By integrating multi‐objective optimization and closed‐loop experimentation, this approach efficiently identifies optimal formulations from thousands of possibilities and decouples elasticity and viscosity. The resulting hydrogels offer tunable
Zhengkun Chen +11 more
wiley +1 more source
Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou +5 more
wiley +1 more source
This study presents a method that is based on the three-stage network Data Envelopment Analysis (DEA) to evaluate the sustainability of packaging systems for a product.
Yong Xie +4 more
doaj +1 more source
Nested dynamic network data envelopment analysis models with infinitely many decision making units for portfolio evaluation. [PDF]
Chang TS, Tone K, Wu CH.
europepmc +1 more source

