Constructions at Work

TL;DR: It is found that NP mean volumetric size correlates linearly with polymer concentration for NPs between 70 and 250 nm in diameter and the ability to control NP size together with targeted delivery may result in favorable biodistribution and development of clinically relevant targeted therapies.

TL;DR: In this article, women, fire, and dangerous things: What Categories Reveal about the Mind are discussed and discussed in the context of women's empowerment and women's mental health.

TL;DR: It is argued that, to deal with this “Now-or-Never” bottleneck, the brain must compress and recode linguistic input as rapidly as possible, which implies that language acquisition is learning to process, rather than inducing, a grammar.

TL;DR: A 2-layer symbolic network model based on the equilibrium equations of the Rescorla-Wagner model (Danks, 2003) is proposed, showing that for pseudo-derived words no special morpho-orthographic segmentation mechanism is required and predicting that productive affixes afford faster response latencies for new words.

TL;DR: Probabilistic Reasoning in Intelligent Systems as mentioned in this paper is a complete and accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty, and provides a coherent explication of probability as a language for reasoning with partial belief.

TL;DR: Methodological preliminaries of generative grammars as theories of linguistic competence; theory of performance; organization of a generative grammar; justification of grammar; descriptive and explanatory theories; evaluation procedures; linguistic theory and language learning.

TL;DR: A fire damper of the kind in which at least one flap is pivoted in a duct between a first position in which the flap closes the duct and a second position inwhich the duct is open.

TL;DR: In this paper, the authors explored the hypothesis that the members of categories which are considered most prototypical are those with most attributes in common with other members of the category and least attributes with other categories and found that family resemblance offers an alternative to criterial features in defining categories.