22 papers · ranked by Valyu relevance
Evan Taylor, Edward J. Louis, Gregory Mocko
Digital engineering has transformed the design and development process. However, the utility of digital engineering is fundamentally dependent on the assumption that a simulation provides information consistent with reality. This relationship is described as model fidelity. Despite the widespread use of the term…
Shauna Diffley, Richard M. Kubina Jr, Chris Noone, Sinéad Quinlivan + 1 more
Precision Teaching (PT) is a system that involves precisely defining and measuring the frequency of behavior to facilitate timely and effective data-based decisions to accelerate behavioral repertoires (Evans et al., Behavior Analysis in Practice,*14*(3), 559-576 [17]). When combined with instruction and practice…
Liane R. Ginsburg, Matthias Hoben, Adam Easterbrook, Ruth A. Anderson + 2 more
'Ruth A. Anderson' 'Carole A. Estabrooks' 'Peter G. Norton'] Background Fidelity in complex behavioural interventions is underexplored and few comprehensive or detailed fidelity studies report on specific procedures for monitoring fidelity. Using Bellg’s popular Treatment Fidelity model, this paper aims to increase…
Jain Anne Holmes, Joanna Clare Fletcher-Smith, Jose Antonio Merchán-Baeza, Julie Phillips + 1 more
'Jose Antonio Merchán-Baeza' 'Julie Phillips' 'Kathryn Radford'] Background Determining whether complex rehabilitation interventions are delivered with fidelity is important. Implementation fidelity can differ between sites, therapists delivering interventions and, over time, threatening trial outcomes and increasing…
Jianqiang Sun, Wei Cao, Ikumi Kamachi, Kentaro K. Shimizu + 1 more
Time-series RNA sequencing provides a powerful framework for studying dynamic gene regulation, yet conventional analyses usually represent gene expression profiles as real-valued vectors in Euclidean space and quantify similarity using correlation or distance. Inspired by quantum information theory, we present a…
Jayant Mukhopadhaya
| 1 | Introduction | | 1 | | --- | --- | --- | --- | | | 1.1 | Motivation | 2 | | | 1.2 | Uncertainty Quantification | 3 | | | | 1.2.1 Turbulence Modeling Uncertainty | 4 | | | | 1.2.2 Numerical Discretization Error | 5 | | | 1.3 | Multi-Fidelity Analysis | 5 | | | 1.4 | Aerodynamic Databases | 7 | | | 1.5 |…
Edward Louis, Gregory Mocko, Evan Taylor
Systems design processes are increasingly reliant on simulation models to inform design decisions. A pervasive issue within the systems engineering community is trusting in the models used to make decisions about complex systems. This work presents a method of evaluating the trustworthiness of a model to provide…
Suhana Begum, Ayumi Yada, Fabiana Lorencatto
Introduction Intervention fidelity concerns the degree to which interventions are implemented as intended. Fidelity frameworks propose fidelity is a multidimensional concept relevant at intervention designer, provider, and recipient levels; yet the extent to which it is assessed multidimensionally is unclear. Smoking…
Jeongho Bang, Junghee Ryu, Dagomir Kaszlikowski
We analyze the performance of quantum teleportation in terms of average fidelity and fidelity deviation. The average fidelity is defined as the average value of the fidelities over all possible input states and the fidelity deviation is their standard deviation, which is referred to as a concept of fluctuation or…
Ksander N. de Winkel, Tessa M. W. Talsma, Riender Happee
Driving simulators are an increasingly important tool to develop vehicle functionalities and to study driver or passenger responses. A major hindrance to the use and validity of such studies is Simulator Sickness (SS). Several studies have suggested a positive relation between improvements in simulator fidelity and the…
Ali Baheri, Mykel J. Kochenderfer
Safety validation is a crucial component in the development and deployment of autonomous systems, such as self-driving vehicles and robotic systems. Ensuring safe operation necessitates extensive testing and verification of control policies, typically conducted in simulation environments. High-fidelity simulators…
Anne M. McLeod, Daniel B. Stouffer, Jason M. Tylianakis, Warwick J. Allen + 5 more
Global environmental changes generate novel communities. Some species adapt to novel community contexts by demonstrating interaction fidelity, or consistently interacting with the same species, while others demonstrate interaction flexibility, or interacting with whichever partners are available (i.e., rewiring).…
Qiu-Shi Li, Yao-Gen Shu, Wen-Bo Fu, Zhong-Can Ou-Yang + 1 more
DNA replication is a high-fidelity information-copying processes which is realized by DNA polymerase (DNAP). The high fidelity was explained on the basis of the well-known kinetic-proofreading mechanism (KPR), under which the so-called fidelity-speed trade-off was studied theoretically. However, numerous biochemical…
Emily J. Levin, James A. Brissenden, Alexander Fengler, David Badre
The predicted utility of information stored in working memory (WM) is hypothesized to influence the strategic allocation of WM resources. Prior work has shown that when information is prioritized, it is remembered with greater precision relative to other remembered items. However, these paradigms often complicate…
Nickolas Gantzler, Aryan Deshwal, Janardhan Rao Doppa, Cory Simon
Our objective is to search a large candidate set of covalent organic frameworks (COFs) for the one with the largest equilibrium adsorptive selectivity for xenon (Xe) over krypton (Kr) at room temperature. To predict the Xe/Kr selectivity of a COF structure, we have access to two molecular simulation techniques: (1) a…
Chi Zhang, Chaolin Song, Abdollah Shafieezadeh
In many fields of science and engineering, models with different fidelities are available. Physical experiments or detailed simulations that accurately capture the behavior of the system are regarded as high-fidelity models with low model uncertainty, however, they are expensive to run. On the other hand, simplified…
Owen Madin, Michael Shirts
Dispersion-repulsion interactions, commonly represented in atomistic force fields by the Lennard-Jones (LJ) potential, play an important role in the accuracy of molecular simulations. Training the force field parameters used in the LJ potential is challenging, generally requiring adjustment based on simulations of…
Veronica Dudarev, Oswald Barral, Chuxuan Zhang, Guy Davis + 1 more
Wearable sensors are quickly making their way into psychophysiological research, as they allow collecting longitudinal and ecologically valid data. The present tutorial considers fidelity of physiological measurement with wearable sensors, focusing on reliability. We elaborate why ensuring reliability for wearables is…
David Buterez, Jon Paul Janet, Steven J. Kiddle, Pietro Liò
High-throughput screening (HTS), as one of the key techniques in drug discovery, is frequently used to identify promising drug candidates in a largely automated and cost-effective way. One of the necessary conditions for successful HTS campaigns is a large and diverse compound library, enabling hundreds of thousands of…
Authors not listed
A multi-fidelity Monte Carlo framework for molecular dynamics simulations of the diffusion coefficient of liquid water is presented. The model hierarchy is constructed based on the size of the simulation box, taking advantage of the well-known size effects that simulations of the diffusion coefficient suffer from.…
David Buterez, Jon Paul Janet, Steven Kiddle, Pietro Liò
We investigate the potential of graph neural networks for transfer learning and improving molecular property prediction on sparse and expensive to acquire high-fidelity data by leveraging low-fidelity measurements as an inexpensive proxy for a targeted property ofinterest. This problem arises in discovery processes…
Authors not listed
This report compares various simulation and data analysis methods for free induction decay (FID) signals in Nuclear Magnetic Resonance (NMR) Spectroscopy. The methods discussed include discrete fast Fourier transformation (FFT), least squares fitting (LSF), short-time Fourier transformation (STFT), and wavelet…