Results 81 to 90 of about 738,099 (298)

Neurophenomenology revisited: second-person methods for the study of human consciousness

open access: yesFrontiers in Psychology, 2015
In the study of consciousness, neurophenomenology was originally established as a novel research program attempting to reconcile two apparently irreconcilable methodologies in psychology: qualitative and quantitative methods.
Francisco Andrés Olivares   +5 more
doaj   +1 more source

Functional comparison of EncB and EncC cargo proteins in iron storage within the Myxococcus xanthus encapsulin

open access: yesFEBS Letters, EarlyView.
Encapsulins are protein nanocompartments that play an important role in iron storage. In the Myxococcus xanthus encapsulin system, two cargo proteins called EncB and EncC contribute to iron mineralization. Here, we show that EncB and EncC generate iron‐containing minerals with distinct chemical compositions, suggesting that the composition of stored ...
Harry B. McDowell   +2 more
wiley   +1 more source

Attitude Towards Humanoid Robots and the Uncanny Valley Hypothesis

open access: yesFoundations of Computing and Decision Sciences, 2019
The main aim of the presented study was to check whether the well-established measures concerning the attitude towards humanoid robots are good predictors for the uncanny valley effect.
Łupkowski Paweł, Gierszewska Marta
doaj   +1 more source

Structural and biochemical analysis of a B12 superbinder

open access: yesFEBS Letters, EarlyView.
BtuG proteins are vitamin B12 scavengers in Bacteroides thetaiotaomicron, a dominant human gut bacterium. We present crystal structures of three BtuG homologs bound to cobalamin and its precursor cobinamide, revealing picomolar binding affinities, among the highest known for any natural protein.
Jose M. Martinez Felices   +3 more
wiley   +1 more source

Homo Promptus: Predicting the impact of generative AI on human memory and creativity

open access: yesMemory, Mind & Media
This article explores the transformational potential of artificial intelligence (AI), particularly generative AI (genAI) – large language models (LLMs), chatbots, and AI-driven smart assistants yet to emerge – to reshape human cognition, memory, and ...
Katerina Linden   +2 more
doaj   +1 more source

From junk to function — How weak selection in eukaryotes builds new parts and drives genomic complexity

open access: yesFEBS Letters, EarlyView.
How do genomes gain new functional parts? In eukaryotes, which tend to evolve under weak selection, much of the genome is junk. Palazzo and Qiu borrow the logic of Markov chains to show how non‐functional DNA becomes functional through the appearance of intermediate states, which arise due to epistasis, buffering, and biochemical messiness, allowing ...
Alexander F. Palazzo, Yi Qiu
wiley   +1 more source

KR and Reasoning on the Semantic Web: Web-Scale Reasoning

open access: yes, 2011
Reasoning is a key element of the Semantic Web. For the Semantic Web to scale, it is required that reasoning also scales. This chapter focuses on two approaches to achieve this: The first deals with increasing the computational power available for a ...
Weaver, Jesse   +6 more
core   +1 more source

Prospecting the protein design landscape

open access: yesFEBS Letters, EarlyView.
This review outlines the current state of various protein design approaches. We discuss the current possibilities enabled by recently released tools, highlight future avenues to pursue in protein design, and underscore the crucial role of key databases and resources for successful protein design workflows.
Jakob R. Riccabona   +4 more
wiley   +1 more source

Commonsense knowledge representation and reasoning with fuzzy neural networks [PDF]

open access: yes, 1996
This paper highlights the theory of common-sense knowledge in terms of representation and reasoning. A connectionist model is proposed for common-sense knowledge representation and reasoning.
Kouzani, Abbas, Sammut, Karl, He, Fangpo
core  

Building critical GenAI literacy through mathematical error analysis

open access: yesFrontiers in Education
This study examined gains in undergraduate students' mathematical computation and GenAI error-detection skills following a GenAI-integrated error analysis activity in a quantitative reasoning course.
Eunmi Joung
doaj   +1 more source

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