Results 121 to 130 of about 1,018,348 (314)

Catechol Derivative‐Based Bioadhesives: Molecular Design for Precision Medical Adhesion

open access: yesAdvanced Science, EarlyView.
This study utilizes tree‐inspired side‐chain engineering to graft five catechol derivatives onto PVA, systematically revealing how side‐chain length and substituents regulate adhesion and cohesion properties. Among them, the PVA‐CA patch demonstrates superior tissue adhesion, biocompatibility, and promotes regeneration, establishing a programmable ...
Xueyu Wang   +8 more
wiley   +1 more source

Copyright Exceptions and Fair Use Defences for AI Training Done for “Research” and “Learning,” or the Inescapable Licensing Horizon

open access: yesEuropean Journal of Risk Regulation
The training of Artificial Intelligence (AI) models relies on extensive amounts of “data,” often sourced from content protected by copyright, related and sui generis rights.
Eleonora Rosati
doaj   +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

The Neo-Colonial Political Economy of Scholarly Publishing: Its UK-US Origins, Maxwell's Role, and Implications for Sub-Saharan Africa

open access: yesThe African Journal of Information and Communication, 2021
The prevailing dynamics of today's global scholarly publishing ecosystem were largely established by UK and US publishing interests in the years immediately after the Second World War.
Eve Gray
doaj  

Pharmaceutical Regulation and Intellectual Property: the Third Side of the Triangle [PDF]

open access: yes
This paper seeks to determine the interactions between industry-specific regulation law and patent law in the case of the pharmaceutical industry. It thus attempts to close the third side of the triangle formed by the vertices of antitrust, regulation ...
François Lévêque
core  

The Battle to Define Asia’s Intellectual Property Law: From TPP to RCEP [PDF]

open access: yes, 2018
A battle is under way to decide the intellectual property law for half the world’s population. A trade agreement that hopes to create a free trade area even larger than that forged by Genghis Khan will define intellectual property rules across much of ...
Chander, Anupam, Sunder, Madhavi
core   +2 more sources

Inherently Disordered Auxetic Metamaterials

open access: yesAdvanced Science, EarlyView.
Inherently disordered auxetic metamaterials based on random chiral Delaunay triangulations are designed and investigated using numerical simulations and experimental tests. These disordered frameworks exhibit orthotropic behavior and a large negative Poisson's ratio (ca.
Matteo Montanari   +3 more
wiley   +1 more source

PROTECTION OF DRAWINGS AND PATTERNS IN INTERNATIONAL LAW [PDF]

open access: yesChallenges of the Knowledge Society, 2013
Intellectual property occupies a fundamental place in the legal field, namely it represents the creation, development and evolution of society, with implications in all areas of activity.
OVIDIA JANINA IONESCU
doaj  

Pierce Law Participates in Pandemic Influenza Vaccine IP Management Meeting [PDF]

open access: yes, 2006
On April 18, 2006 several members of the greater Pierce Law community participated in an important meeting held at the World Intellectual Property Organization (WIPO) in Geneva, Switzerland.
Kowalski, Stanley P.
core   +1 more source

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

open access: yesAdvanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan   +8 more
wiley   +1 more source

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