Results 91 to 100 of about 4,966,594 (348)

Artificial selection for food colour preferences [PDF]

Proceedings of the Royal Society B: Biological Sciences, 2015
Colour is an important factor in food detection and acquisition by animals using visually based foraging. Colour can be used to identify the suitability of a food source or improve the efficiency of food detection, and can even be linked to mate choice. Food colour preferences are known to exist, but whether these preferences are heritable
Cole, Gemma L, Endler, John A
openaire   +4 more sources

RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells

FEBS Open Bio, EarlyView.
RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour, Christine Volmert, Valentina Piano   +2 more
wiley   +1 more source

Artificial selection, sexual selection, natural selection

, 2011
Fil: Ginnobili, Santiago. Universidad de Buenos Aires; Argentina.Fil: Ginnobili, Santiago. Universidad Nacional de Quilmes; Argentina.Fil: Ginnobili, Santiago.
Ginnobili, Santiago
core   +1 more source

The view from elsewhere: perspectives on ALife Modeling [PDF]

, 2002
Many artificial life researchers stress the interdisciplinary character of the field. Against such a backdrop, this report reviews and discusses artificial life, as it is depicted in, and as it interfaces with, adjacent disciplines (in particular ...
Jason Noble, Philip Husbands, Ezequiel Di Paolo (4736196), Seth Bullock (6729674), Di Paolo, E.A., Mark Bedau, Bullock, S., Anil Seth, Paolo, E. Di, Kirby, S., Michael Wheeler (6505547), Ezequiel Di Paolo, Phil Husbands (4460401), Simon Kirby, Mark Bedau (12250780), Wheeler, M., Michael Wheeler, Di Paolo, E., Jason Noble (5665444), Wheeler, S., Seth, A., Husbands, P., Kirkby, S., Bullock, Seth, Noble, J., Simon Kirby (751930), Anil Seth (4460704), Seth Bullock, Bedau, M.   +28 more
core   +1 more source

Inbreeding in artificial selection programmes

Genetics Research, 1961
In a population under artificial selection, the effective population size may be less than the actual number of parents selected because there will be variation between families in the character under selection and consequently in the probability of selection.
openaire   +3 more sources

Directed evolution of enzymes at the crossroads of tradition and innovation

FEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova, Andrej Mirossay, Erik Sedlak   +2 more
wiley   +1 more source

Portfolio selection using artificial intelligence

, 2014
The application of artificial intelligence in finance is relatively new area of research. This project employed artificial neural networks (ANNs) that use both fundamental and technical inputs to predict future prices of widely held Australian stocks and
Ashwood, Andrew J.
core  

Advances in forecasting with artificial neural networks [PDF]

, 2010
There is decades long research interest in artificial neural networks (ANNs) that has led to several successful applications. In forecasting, both in theoretical and empirical works, ANNs have shown evidence of good performance, in many cases ...
Crone, S, Kourentzes, N
core  

Adaptive Sparse Confidence-Weighted Learning for Online Feature Selection

, 2019
In this paper, we propose a new online feature selection algorithm for streaming data. We aim to focus on the following two problems which remain unaddressed in literature. First, most existing online feature selection algorithms merely utilize the first-
Liu, Y, Han, Yahong, Chen, L, Han, Y, Yan, Y, Yan, Yan, Yang, Y, Liu, Yanbin, Chen, Ling, Yang, Yi   +9 more
core   +1 more source

Guiding AlphaFold to predict how Munc13‐1 opens Syntaxin‐1

FEBS Open Bio, EarlyView.
The syntaxin‐1 Habc‐domain (orange), linker (pink) and SNARE motif (yellow) form a closed conformation that binds to Munc18‐1 (violet) and is opened by the Munc13‐1 MUN domain (cyan) to form the SNARE complex that triggers neurotransmitter release.
Madhurima Chattopadhyay, Junjie Xu, Josep Rizo   +2 more
wiley   +1 more source