Results 81 to 90 of about 7,798,024 (252)
FEBS Open Bio, EarlyView.RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz +6 more
wiley +1 more source
Extremely Scalable Spiking Neuronal Network Simulation Code: From Laptops to Exascale Computers
Frontiers in Neuroinformatics, 2018 State-of-the-art software tools for neuronal network simulations scale to the largest computing systems available today and enable investigations of large-scale networks of up to 10 % of the human cortex at a resolution of individual neurons and synapses.
Jakob Jordan +12 more
doaj +1 more source
Root growth model for simulation of plant root system and numerical function optimization
, 2012 This paper presents the study of modelling root growth behaviours in the soil. The purpose of the study is to investigate a novel biologically inspired methodology for optimization of numerical function. A mathematical framework is designed to model root
Zhu YL(朱云龙) +5 more
core +1 more source
FEBS Open Bio, EarlyView.Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
wiley +1 more source
A QFD based evaluation framework for manufacturing-oriented simulation software
, 1997 This paper presents a quantitative framework of analysis to evaluate and compare manufacturing-oriented simulation software tools based on the Quality Function Deployment (QFD).
FONTANA A. +3 more
core +1 more source
A Closed-Loop Toolchain for Neural Network Simulations of Learning Autonomous Agents
Frontiers in Computational Neuroscience, 2019 Neural network simulation is an important tool for generating and evaluating hypotheses on the structure, dynamics, and function of neural circuits. For scientific questions addressing organisms operating autonomously in their environments, in particular
Jakob Jordan +6 more
doaj +1 more source
Efficient Communication in Distributed Simulations of Spiking Neuronal Networks With Gap Junctions
Frontiers in Neuroinformatics, 2020 Investigating the dynamics and function of large-scale spiking neuronal networks with realistic numbers of synapses is made possible today by state-of-the-art simulation code that scales to the largest contemporary supercomputers.
Jakob Jordan +13 more
doaj +1 more source
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 +3 more
wiley +1 more source
Interpolative Rus-Reich-Ćirić Type Contractions via Simulation Functions
Analele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2019 In this paper, we introduce the notion of interpolative Rus-Reich-Ćirić type 𝒵- contractions in the setting of complete metric space. We also consider some immediate consequences of our main results.
Karapınar Erdal, Agarwal Ravi P.
doaj +1 more source
Characteristic function estimation of Ornstein-Uhlenbeck-based stochastic volatility models. [PDF]
Continuous-time stochastic volatility models are becoming increasingly popular in finance because of their flexibility in accommodating most stylized facts of financial time series.
Emanuele Taufer +2 more
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