14 papers · ranked by Valyu relevance
Immo Schuetz, Harun Karimpur, Katja Fiehler
Virtual reality (VR) is a powerful tool for researchers due to its potential to study dynamic human behavior in highly naturalistic environments while retaining full control over the presented stimuli. Due to advancements in consumer hardware, VR devices are now very affordable and have also started to include…
Jin Hyun Cheong, Eshin Jolly, Tiankang Xie, Sophie Byrne + 2 more
'Matthew Kenney' 'Luke J. Chang'] Studying facial expressions is a notoriously difficult endeavor. Recent advances in the field of affective computing have yielded impressive progress in automatically detecting facial expressions from pictures and videos. However, much of this work has yet to be widely disseminated in…
Márton Á Goda, Peter H Charlton, Joachim A Behar
Objective. Photoplethysmography is a non-invasive optical technique that measures changes in blood volume within tissues. It is commonly and being increasingly used for a variety of research and clinical applications to assess vascular dynamics and physiological parameters. Yet, contrary to heart rate variability…
Jens Lucht, Paul Meyer, Leon Merten Lohse, Tim Salditt + 1 more
We present HoToPy, a toolbox for X-ray holo-tomography in Python. It offers state-of-the-art phase retrieval methods for synchrotron and laboratory sources as well as tomographic reconstruction and alignment methods.
Haocheng Zhu, Ulrik Beierholm, Ladan Shams, Michael Moutoussis
Psychological and neuroscientific research over the past two decades has shown that the Bayesian causal inference (BCI) is a potential unifying theory that can account for a wide range of perceptual and sensorimotor processes in humans. Therefore, we introduce the BCI Toolbox, a statistical and analytical tool in…
William R. P. Nourse, Clayton Jackson, Nicholas S. Szczecinski, Roger D. Quinn + 2 more
'Roger D. Quinn' 'Mingguo Zhao' 'Biao Hu'] One developing approach for robotic control is the use of networks of dynamic neurons connected with conductance-based synapses, also known as Synthetic Nervous Systems (SNS). These networks are often developed using cyclic topologies and heterogeneous mixtures of spiking and…
Christoph Redies, Ralf Bartho, Lisa Koßmann, Branka Spehar + 3 more
'Ronald Hübner' 'Johan Wagemans' 'Gregor U. Hayn-Leichsenring'] Over the past two decades, researchers in the field of visual aesthetics have studied numerous quantitative (objective) image properties and how they relate to visual aesthetic appreciation. However, results are difficult to compare between research…
Althea Hansel-Harris, Andreas Tillack, Diogo Santos-Martins, Matthew Holcomb + 1 more
Virtual screening using molecular docking is now routinely used for the rapid evaluation of very large ligand libraries. As such, it has become an increasingly common approach in early-stage drug discovery. These screenings generate large amounts of data proportional to the size of the compound library used, which must…
Muhammad Aziz
Computational chemistry software designed to compute the chemical properties of compounds falls under the category of dry research. The computational calculation of chemicals is a broad term. In this current study, chemical properties are estimated through computational methods, which is valuable for newly synthesis…
Dimitar Georgiev, Simon Vilms Pedersen, Ruoxiao Xie, Álvaro Fernández-Galiana + 2 more
Raman spectroscopy is a non-destructive and label-free chemical analysis technique, which plays a key role in the analysis and discovery cycle of various branches of science. Nonetheless, progress in Raman spectroscopic analysis is still impeded by the lack of software, methodological and data standardisation, and the…
Himaghna Bhattacharjee, Jackson Burns, Dionisios Vlachos
The recent advances in deep learning, generative modeling, and statistical learning have ushered in a renewed interest in traditional cheminformatics tools and methods. Quantifying molecular similarity is essential in molecular generative modeling, exploratory molecular synthesis campaigns, and drug-discovery…
Authors not listed
With the rapid growth of chemical data and information, there is an increasing need for chemistry undergraduates to master Python tools for analyzing large chemical datasets and extracting key or feature information. Currently, more than 100,000 types of metal-organic frameworks (MOFs), as the material recently awarded…
Anselm W. Hahn, Joseph Zsombor-Pindera, Pierre Kennepohl, Serena DeBeer
In chemistry, analyzing spectra through peak fitting is a crucial task that helps scientists extract useful quantitative information about a sample's chemical composition or electronic structure. To make this process more efficient, we have developed a new open-source software tool called SpectraFit. This tool allows…
Anupam Ojha, Lane Votapka, Gary Huber, Shang Gao + 1 more
SEEKR2 (Simulation enabled estimation of kinetic rates v. 2) is a powerful and versatile software tool designed to computationally estimate the kinetics and thermodynamics of complex molecular processes, particularly emphasizing the process of receptor-ligand binding and unbinding. We present a suite of tutorials for…