Results 51 to 60 of about 1,078,236 (317)

SOCIALIZATION OF THE ECONOMY AS A COMPONENT OF THE ANTHROPOCENE AGE: ECONOMIC AND LEGAL DIMENSION

open access: yesФінансово-кредитна діяльність: проблеми теорії та практики, 2022
The article is devoted to the consideration of one of the defining trends in the world and domestic economy of the third millennium — socialization. Its inevitability is caused by the fact that one of the main challenges hindering the establishment of ...
Vitaliy Kosovych   +2 more
doaj   +1 more source

Deformable Eutectic Alloy With Near‐Theoretical Yield Strength via Hierarchical Nanoscale Multiphases and Sessile Defects

open access: yesAdvanced Science, EarlyView.
A CoCrFeNiTa0.4 eutectic high‐entropy alloy achieves a near‐theoretical yield strength of 2.6 GPa with 13.6% plasticity. This breakthrough stems from a hierarchical nanostructure (FCC‐Laves lamellae with L12/D022 precipitates), which alleviates the inter‐phase modulus/hardness mismatch through synergistic strengthening and toughening, guiding the ...
Yusha Luo   +10 more
wiley   +1 more source

Jeffrey Alexander’s theory of the civil sphere between philosophy and sociology of law [PDF]

open access: yes, 2012
Alexander’s theory of the civil sphere can be placed in the context of development of sociology of law. However, Alexander draws not so much on sociological theories but rather on the approaches of philosophy of law, particularly the ideas of Fuller ...
Maslovskaya, Elena
core  

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Introduction to the Special Issue «Justice Based on Truth»

open access: yesLaws, 2023
When I received a request from MDPI in 2021, in the midst of the COVID-19 pandemic, to guest-edit a new online journal of philosophy of law and legal theory, including the history of their disciplines, it was immediately clear to me that this offer could
Marcel Senn
doaj   +1 more source

Political jurisprudence or institutional normativism?: maintaining the difference between Arendt and Fuller [PDF]

open access: yes, 2014
Can jurisprudence fruitfully pursue a synthesis of Arendt’s political theory and Fuller’s normative legal philosophy? Might their ideas of the juridical person and the legal subject be aligned as a result of a shared concern for the value of legality ...
Wilkinson, Michael
core   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

open access: yesAdvanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova   +4 more
wiley   +1 more source

A Proposal for \u27Philosophical Method\u27 in Comparative and International Law [PDF]

open access: yes, 2009
A basic challenge of contemporary thought is to better understand the origin, persistence, and future course of international/ comparative law. I suggest that a foundational step is to begin treating the law as a philosophical matter.
Gillroy, John Martin
core   +1 more source

The Methods of Normativity [PDF]

open access: yes, 2017
This essay is an examination of the relationship between phenomenology and analytic method in the philosophy of law. It proceeds by way of a case study, the requirement of compliance in Raz’s theory of mandatory norms.
Binesh, Hass
core   +1 more source

Robust Reinforcement Learning Control Framework for a Quadrotor Unmanned Aerial Vehicle Using Critic Neural Network

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai   +3 more
wiley   +1 more source

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