Results 31 to 40 of about 96,163 (267)

Ethical Precision in Nanoscale Brain Interfacing

Advanced Science, EarlyView.
As brain interfaces approach the nanoscale, precision no longer only measures—it knows, predicts, and potentially reshapes the mind. This work argues that traditional ethics fails under such conditions and proposes a shift toward continuous, operation‐based governance using the recovery–discovery framework to track, constrain, and responsibly steer ...
Guilherme Wood
wiley   +1 more source

Epistemic theories of democracy, constitutionalism and the procedural legitimacy of fundamental rights

, 2013
The overall aim of this thesis is to assess the legitimacy of constitutional laws and bills of rights within the framework of procedural epistemic democracy. The thesis is divided into three sections.
Allard-Tremblay, Yann
core   +1 more source

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, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Epistemic Insight Scholarship Afternoon Programme 27 February

, 2022
Epistemic Insight Scholarship Afternoon Programme 27 ...
LASAR Centre (Learning about Science and Religion)
core   +1 more source

Schooling Trajectories and the Development of Brain Dynamics: A Comparative Study of Montessori and Traditional Education

Advanced Science, EarlyView.
We investigate whether Montessori and traditional schooling systems shape the developmental trajectory of large‐scale brain dynamics in different ways. We quantify the arrow of time (“non‐reversibility”) in neural activity during resting state and movie‐watching, revealing distinct maturational patterns.
Elvira del Agua, Anira Escrichs, Yonatan Sanz Perl, Morten L. Kringelbach, Adele Diamond, Solange Denervaud, Gustavo Deco   +6 more
wiley   +1 more source

Intellectual Flourishing as the Fundamental Epistemic Norm [PDF]

, 2013
According to the extended knowledge account of assertion, we should only assert and act on what we know. Call this the ‘Knowledge Norm’. Because moral and prudential rules prohibit morally and prudentially unacceptable actions and assertions, they can ...
Brogaard, Berit, Berit Brogaard
core   +1 more source

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

Advanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan, Tian Zhang, Jiawei Dong, Yubao Xie, Kaifeng Zhong, Wei Guan, Haiqiao Wei, Changcheng Fu, Yaqiong Su   +8 more
wiley   +1 more source

Nurturing epistemic agency through interdisciplinary enquiry [PDF]

, 2023
Epistemic knowledge describes what student-teachers and their pupils learn about the methods, processes and norms of thought related to distinct disciplines. OECD considers such knowledge imperative for the 21st century (OECD, 2018, 2021).
Hazeldine, L., Thomas, C.
core  

From Epistemic Expressivism to Epistemic Inferentialism [PDF]

, 2010
Abstract This chapter explains my reasons for endorsing an inferentialist rather than an expressivist form of nondescriptivism about epistemic discourse. Epistemic inferentialism is the view that epistemic claims mean what they do in virtue of the inferential responsibilities and entitlements one commits to in making them, rather than ...
openaire   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source