24 papers · ranked by Valyu relevance
Iris M. Reijmerink, Kelly Bos, Ian P. Leistikow, Jop Groeneweg + 3 more
'Fokie Cnossen' 'Dave A. Dongelmans' 'Maarten J. van der Laan'] This study aimed to evaluate how performance variability contributes to perioperative sentinel events occurring within the Dutch healthcare system. Although performance variability was identified as a contributing factor in almost all analysis reports, it…
Li Xu, Thomas Lux, Tyler H. Chang, Bo Li + 5 more
'Layne T. Watson' 'Ali R. Butt' 'Danfeng Yao' 'Kirk W. Cameron'] Performance variability is an important measure for a reliable high performance computing (HPC) system. Performance variability is affected by complicated interactions between numerous factors, such as CPU frequency, the number of input/output (IO)…
Arabella Charlotte Vaughan, Damian Patrick Birney
Despite evidence that it exists, short-term within-individual variability in cognitive performance has largely been ignored as a meaningful component of human cognitive ability. In this article, we build a case for why this within-individual variability should not be viewed as mere measurement error and why it should…
Marlou Nadine Perquin, Jessica Yang, Christoph Teufel, Petroc Sumner + 2 more
Any repeatedly performed action is characterised by endogenous variability, affecting both speed and accuracy – for a large part presumably caused by fluctuations in underlying brain and body states. The current research questions were: 1) whether such states are accessible to us, and 2) whether we can act upon this…
Panagiotis Giannakopoulos, Bart van Knippenberg, Kishor Chandra Joshi, Nicola Calabretta + 1 more
'Nicola Calabretta' 'George Exarchakos'] Edge computing is an emerging approach that enables applications to run closer to users, accommodating their specific execution time requirements. Edge computing systems typically consist of heterogeneous processing and networking components, resulting in inconsistent task…
Nicholas Judd, Michael Aristodemou, Torkel Klingberg, Rogier Kievit
Our performance on cognitive tasks fluctuates: the same individual completing the same task will differ in their response’s moment-to-moment. For decades cognitive fluctuations have been implicitly ignored - treated as measurement error - with a focus instead on aggregates such as mean performance. Leveraging dense…
Jiahao Chen, Jarrett Revels
—We propose a benchmarking strategy that is robust in the presence of timer error, OS jitter and other environmental fluctuations, and is insensitive to the highly nonideal statistics produced by timing measurements. We construct a model that explains how these strongly nonideal statistics can arise from environmental…
Musfiqur Rahman, SayedHassan Khatoonabadi, Ahmad Abdellatif, Haya Samaana + 1 more
Configurations Authors: ['Musfiqur Rahman' 'SayedHassan Khatoonabadi' 'Ahmad Abdellatif' 'Haya Samaana' 'Emad Shihab'] [Context] Nowadays, many software systems include Artificial Intelligence (AI) components and changes in the development environment have been known to induce variability in an AI-based system.…
Jinfeng Wen, Zhenpeng Chen, Federica Sarro, Xuanzhe Liu
Serverless computing is an emerging cloud computing paradigm, which allows software engineers to develop applications at the granularity of function (called serverless functions). However, multiple identical runs of the same serverless functions can show different performance (i.e., response latencies) due to the…
Carmen Ruano, Carla Caballero, Francisco J. Moreno, Andrew Lavender
There is a controversy about the benefits of variable practice on motor learning. This study aimed to analyze the effect of variable practice after the learner stabilized their performance. Thirty-two healthy adults performed a computer-simulated discrete accuracy task in which they had to release a virtual ball to try…
David Flater, William F Guthrie
Programmers routinely omit run-time safety checks from applications because they assume that these safety checks would degrade performance. The simplest example is the use of arrays or array-like data structures that do not enforce the constraint that indices must be within bounds. This report documents an attempt to…
Douglas D. Garrett, Samira Epp, Maike Kleemeyer, Ulman Lindenberger + 1 more
The extent to which brain responses differ across varying cognitive demands is referred to as “neural differentiation,” and greater neural differentiation has been associated with better cognitive performance in older adults. An emerging approach has examined within-person neural differentiation using moment-to-moment…
Marco Cardis, Maura Casadio, Rajiv Ranganathan
Motor variability plays an important role in motor learning, although the exact mechanisms of how variability affects learning is not well understood. Recent evidence suggests that motor variability may have different effects on learning in redundant tasks, depending on whether it is present in the task space (where it…
David Georg Reichelt, Stefan Kühne, Wilhelm Hasselbring
—To develop software with optimal performance, even small performance changes need to be identified. Identifying performance changes is challenging since the performance of software is influenced by non-deterministic factors. Therefore, not every performance change is measurable with reasonable effort. In this work, we…
Authors not listed
Optimizing the synthesis conditions of advanced materials is challenging, especially when outcomes are subject to inherent experimental uncertainties. Bayesian optimization is a popular tool for accelerating materials discovery, but its standard risk-neutral framework overlooks the variability of outcomes under…
David Daly
It is important to detect changes in software performance during development in order to avoid performance decreasing release to release or dealing with costly delays at release time. Performance testing is part of the development process at MongoDB, and integrated into our continuous integration system. We describe a…
Luca Traini, Vittorio Cortellessa, Daniele Di Pompeo, Michele Tucci
Microbenchmarking is a widely used form of performance testing in Java software. A microbenchmark repeatedly executes a small chunk of code while collecting measurements related to its performance. Due to Java Virtual Machine optimizations, microbenchmarks are usually subject to severe performance fluctuations in the…
Marlou Nadine Perquin, Tobias Heed, Christoph Kayser
Any series of sensorimotor actions shows fluctuations in speed and accuracy from repetition to repetition, even when the sensory input and motor output requirements remain identical over time. Such fluctuations are particularly prominent in reaction time (RT) series from laboratory neurocognitive tasks. Despite their…
Huiwen Zheng, Jan Vijg, Atefeh Taherian Fard, Jessica Cara Mar
Single-cell RNA-sequencing (scRNA-seq) technologies enable the capture of gene expression heterogeneity and consequently cell-to-cell variability at the cell type level. Although different methods have been proposed to quantify cell-to-cell variability, it is unclear what the optimal statistical approach is, especially…
Nobuyasu Nakano, Yuki Inaba, Senshi Fukashiro, Shinsuke Yoshioka
How humans execute accurate movement in the presence of motor noise is a key problem in the field of biomechanics and motor control that limits the performance improvement in daily or sporting activities. The aim of this study was to clarify the strategy of basketball players during free-throw shooting. Two possible…
Authors not listed
Physics-based methods such as protein-ligand binding free energy calculations have been increasingly adopted in early-stage drug discovery to prioritize promising compounds for synthesis. However, the accuracy of these methods is highly dependent on details of the calculation and choices made while preparing the…
Zhenghao Wu, Tianhang Zhou
In the realm of multiscale molecular simulations, structure-based coarse graining is a prominent approach for creating efficient coarse-grained (CG) representations of soft matter systems such as polymers. This involves optimizing CG interactions by matching static correlation functions of corresponding degrees of…
Authors not listed
Background: Pharmaceutical batch scheduling in multi-reactor configurations presents complex optimization challenges under operational uncertainty, yet limited research addresses how parallel processing capacity affects heuristic performance and predictive modeling. Objectives: This study investigated scheduling…
Authors not listed
The rapid growth of worldwide computing power has transformed in silico chemistry into a discipline that is integrated into the daily work of many chemists. Nowadays, researchers find it increasingly straightforward to predict a wide range of molecular properties and chemi- cal processes at reasonable computational…