Results 161 to 170 of about 804,745 (253)
Plant Behaviour, Adaptive Plasticity and Evolution: Reassessing the Debate on Plant Intelligence. [PDF]
Rosciglione C.
europepmc +1 more source
Consciousness Doesn’t Overflow Cognition
Richard eBrown
doaj +1 more source
Digitalizing electroplating requires both domain knowledge and interoperability. This work introduces PlatOn, a domain ontology for trivalent chromium plating and coating characterization, and a hybrid pipeline that aligns it to a mid‐level reference ontology by combining eight similarity metrics with language model reasoning. Expert‐validated mappings
Janik Harter +10 more
wiley +1 more source
The self as destination or illusion: a comparative study of individuation in Jung and self-transcendence in Buddhist Vijñānavāda. [PDF]
Zhang Y.
europepmc +1 more source
The OntOMat ontology establishes a structured framework for polymer matrix fiber reinforced composite materials, integrating manufacturing processes, characterization methods, and multiscale design through the VDI/VDE 3682 formalized process description standard.
Nicolas Christ +19 more
wiley +1 more source
Quantum theory and consciousness
This chapter first contrasts the classical worldview (deterministic, reductionist, and mechanistic) with that of quantum theory (indeterministic, contextual, and holistic).
Pylkkänen, Paavo
core
Mirror-induced origination process of human self-consciousness-restructuring consciousness-based cognitive theory. [PDF]
Luo X.
europepmc +1 more source
The community‐driven Platform MaterialDigital Core Ontology (PMDco) 3.0 is introduced as a Basic Formal Ontology‐aligned semantic backbone for the processing–structure–properties paradigm in Materials Science and Engineering. Modular engineering, automated releases, and validation workflows are highlighted and key semantic patterns for materials ...
Markus Schilling +15 more
wiley +1 more source
Bridging dream and wake states: a new tool for consciousness research. [PDF]
Temel Başer Z +8 more
europepmc +1 more source
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani +7 more
wiley +1 more source

