Economists have developed different types of models describing the interaction of agents in markets. Early models in general equilibrium theory describe agents taking prices as given and do not ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Chemometric methods are broadly used in the chemical and biochemical sectors.

Transcriptional rates are often estimated by fitting the distribution of mature mRNA numbers measured using smFISH (single molecule fluorescence in situ hybridization) with the distribution predicted ...

Working memory is a fundamental feature of biological brains for perception, cognition, and learning. In addition, learning with working memory, which has been show in conventional artificial ...

2022-04-08 Checking HateCheck: a cross-functional analysis of behaviour-aware learning for hate speech detection Pedro Henrique Luz de Araujo et.al. 2204.04042v1 link 2022-04-08 BioBART: Pretraining ...

Mass integration has been used for reducing the amount of process waste and environmental impact. Despite its long history, new challenges constantly arise with the use of process simulation tools ...

When several sugars are at its disposition, the bacterium Escherichia coli consumes them in a specific order—a behavior called diauxie. We developed a framework combining dynamic methods and models of ...

Addressing how neural circuits underlie behavior is routinely done by measuring electrical activity from single neurons in experimental sessions. While such recordings yield snapshots of neural ...

Oxygenated species obtained from the selective chemo-catalytic refunctionalization of lignocellulosic materials and rationally formulated mixtures thereof can be tailored to the needs of advanced ...

For decades now, normative theories of perceptual decisions, and their implementation as drift diffusion models, have driven and significantly improved our understanding of human and animal behaviour ...

High dimensional statistical problems arise from diverse fields of scientific research and technological development. Variable selection plays a pivotal role in contemporary statistical learning and ...