Results 81 to 90 of about 1,794,096 (279)

Local prediction-learning in high-dimensional spaces enables neural networks to plan

Nature Communications
Planning and problem solving are cornerstones of higher brain function. But we do not know how the brain does that. We show that learning of a suitable cognitive map of the problem space suffices.
Christoph Stöckl, Yukun Yang, Wolfgang Maass   +2 more
doaj   +1 more source

Deep Learning for College Graduates Employment Prediction: A Computational Approach

IEEE Access
The dynamic nature of employment systems, influenced by individual behaviors and macroeconomic factors, necessitates sophisticated computational models to inform effective policy-making.
Lili Wang
doaj   +1 more source

A light‐triggered Time‐Resolved X‐ray Solution Scattering (TR‐XSS) workflow with application to protein conformational dynamics

FEBS Open Bio, EarlyView.
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei, Fredrik Orädd, Konstantinos Magkakis, Magnus Andersson   +3 more
wiley   +1 more source

The risk of divergence [PDF]

, 2015
We present infinite extensive strategy profiles with perfect information and we show that replacing finite by infinite changes the notions and the reasoning tools.
Lescanne, Pierre
core   +2 more sources

Single‐molecule DNA flow‐stretch assays for high‐throughput DNA–protein interaction studies

FEBS Open Bio, EarlyView.
We describe an optimised single‐molecule DNA flow‐stretch assay that visualises DNA–protein interactions in real time. Linear DNA fragments are tethered to a surface and stretched by buffer flow for fluorescence imaging. Using λ and φX174 DNA, this protocol enhances reproducibility and accessibility, providing a versatile approach for studying diverse ...
Ayush Kumar Ganguli, Mohammad Nour Alsamsam, Ugnė Bagdonaitė, Van Truc Vu, Chun‐Jen Huang, Polina Kuzhir, Mindaugas Zaremba, Aurimas Kopūstas, Marijonas Tutkus   +8 more
wiley   +1 more source

Revisiting the Minimum Breakpoint Linearization Problem Theoretical Computer Science [PDF]

, 2013
International audienceThe gene order on a chromosome is a necessary data for most comparative genomics studies, but in many cases only partial orders can be obtained by cur- rent genetic mapping techniques.
Bulteau, Laurent, Fertin, Guillaume, Rusu, Irena   +2 more
core   +1 more source

Four lectures on probabilistic methods for data science

, 2016
Methods of high-dimensional probability play a central role in applications for statistics, signal processing theoretical computer science and related fields.
Vershynin, Roman
core   +1 more source

Game Theory Meets Theoretical Computer Science

Theoretical Computer Science, 2005
Preface
Abramsky, S., Mavronicolas, Marios, Abramsky, S., Mavronicolas, Marios   +3 more
openaire   +3 more sources

Chameleon sequences reveal structural effects in proteins representing micelle‐like distribution of hydrophobicity

FEBS Open Bio, EarlyView.
Amino acids sequence of two different proteins with the same sequence (chameleon sequence—black boxes) represent in 3D structure of the proteins different secondary structures: HHHH—helical and BBB—Beta‐structural. The chains folded in water environment adopt different III‐order structures in which the chameleon fragments appear to adopt similar status
Irena Roterman, Katarzyna Stapor, Leszek Konieczny, Krzysztof Gądek, Piotr Nowakowski   +4 more
wiley   +1 more source

What Computing Curricula is Needed: A Case at the University of Latvia

Informatics in Education, 2004
Computer science undergraduate (bachelor) curriculum of the University of Latvia was developed in late 80th based on curricula of several US universities while keeping strong practical setting.
Juris BORZOVS
doaj   +1 more source