25 papers · ranked by Valyu relevance
Hunter N.B. Moseley
Error analysis plays a fundamental role in describing the uncertainty in experimental results. It has several fundamental uses in metabolomics including experimental design, quality control of experiments, the selection of appropriate statistical methods, and the determination of uncertainty in results. Furthermore…
Zhenhua Luo, Xinyuan Yang, Yong Zhang, Bin Xiong + 1 more
This study explored individual differences among senior high school students in detecting and correcting logical errors in mathematical reasoning. Eight participants with high and average mathematical abilities each were recruited from a key high school in Shanghai to solve three error-detecting tasks by thinking…
Ken Gu, Eunice Jun, Tim Althoff
Figure 1: Overview of Multiverse Analysis. In traditional analyses, an analyst may consider multiple decisions in their analysis data filter cutoff, statistical modeling approach (e.g., frequentist, Bayesian), and Bayesian family function (e.g., binomial, lognormal). Traditionally, analysts may conduct multiple…
Authors not listed
Bayesian optimization (BO) has become increasingly important for experimental optimization across scientific domains, yet implementing BO pipelines requires significant programming expertise and familiarity with specialized frameworks. This creates a barrier for domain experts who could benefit from BO but lack the…
Atsushi Shirafuji, Taku Matsumoto, Md Faizul Ibne Amin, Yutaka Watanobe
'Yutaka Watanobe'] Abstract—Finding and fixing errors is a time-consuming task not only for novice programmers but also for expert programmers. Prior work has identified frequent error patterns among various levels of programmers. However, the differences in the tendencies between novices and experts have yet to be…
Authors not listed
Moving bed reactors (MBRs) are widely used in various industrial processes, making the development of mathematical models crucial for their design, optimization, and control. This study presents a semi-analytical solution (SAS) for a lumped parameter kinetic and heat transfer model of a tubular MBR, where a first-order…
Daniel W. Barowy, Emery D. Berger, Benjamin G. Zorn
Spreadsheets are one of the most widely used programming environments, and are widely deployed in domains like finance where errors can have catastrophic consequences. We present a static analysis specifically designed to find spreadsheet formula errors. Our analysis directly leverages the rectangular character of…
Ali Aburas
Thanks to their flexibility and capability to perform different tasks and organize data in the best form and format, spreadsheets are widely used in different organizations and by different end users. Many business organizations rely on spreadsheets to fulfill their various tasks. On the other hand, the number of…
Ulrich Knief, Wolfgang Forstmeier
When multiple studies on the same research question, or multiple analyses of the same dataset are summarized in a meta-analysis, our confidence intervals (CIs) are put to a relentless test of reliability. While we might hope that 95% of the CIs would contain the meta-analytic mean value (and therefore presumably also…
Simon Iveson, Kevin Galvin
This paper presents a simple relationship for estimating the uncertainty in the overall yield and species recovery when the two-product formula is applied to assays of the feed, product and tailings streams of a steady-state mineral separator. The non-linearity of the two-product formula means the reliability of these…
Daniel Kadlec, Kristin L. Sainani, Sophia Nimphius
Background and Objective Meta-analysis and meta-regression are often highly cited and may influence practice. Unfortunately, statistical errors in meta-analyses are widespread and can lead to flawed conclusions. The purpose of this article was to review common statistical errors in meta-analyses and to document their…
Don Simone Daly, Amanda M White, Susan M Varnum, Kevin K Anderson + 1 more
'Richard C Zangar'] Background Enzyme-linked immunosorbent assay (ELISA) is a standard immunoassay to estimate a protein's concentration in a sample. Deploying ELISA in a microarray format permits simultaneous estimation of the concentrations of numerous proteins in a small sample. These estimates, however, are…
Camille Gontier, William Hockeimer, Nicolas G. Kunigk, Edgar Canario + 5 more
Intracortical brain-computer interfaces (BCIs) are used to decode motor intent from neural population activity; their main clinical application is to restore function for individuals with motor or communication deficits. However, when trying to reconstruct movement trajectories, such as in computer cursor control, even…
Brady T. West, Joseph W. Sakshaug, Guy Alain S. Aurelien, Lourens J Waldorp
'Lourens J Waldorp'] Secondary analyses of survey data collected from large probability samples of persons or establishments further scientific progress in many fields. The complex design features of these samples improve data collection efficiency, but also require analysts to account for these features when…
Eva Niessen, Jonas Wickert, Martin Schober, Gereon R. Fink + 2 more
Influential theories on error processing assume that when we conduct errors adaptive processes are triggered to improve our behaviour and prevent errors in the future. These processes appear to be more effective after participants have detected an error. Therefore, the assessment of error awareness allowing a…
Maria H. Rasmussen, Chenru Duan, Heather J. Kulik, Jan Halborg Jensen
With the increasingly more important role of machine learning (ML) models in chemical research, the need for putting a level of confidence to the model predictions naturally arises. Several methods for obtaining uncertainty estimates have been proposed in recent years but consensus on the evaluation of these have yet…
Zhenyu Xu, Kun Zhang, Victor S. Sheng
Pseudocode and Graph Neural Networks Authors: ['Zhenyu Xu' 'Kun Zhang' 'Victor S. Sheng'] Abstract. Pseudocode is extensively used in introductory programming courses to instruct computer science students in algorithm design, utilizing natural language to define algorithmic behaviors. This learning approach enables…
Gezelle Dali, Méadhbh Brosnan, Jeggan Tiego, Beth P. Johnson + 3 more
Goal-directed behaviour is dependent upon the ability to detect errors and implement appropriate post-error adjustments. Accordingly, several studies have explored the neural activity underlying error-monitoring processes, identifying the insula cortex as crucial for error awareness and reporting mixed findings with…
Banafsheh Lashkari, Shojaeddin Chenouri
System Assessment Studies Authors: ['Banafsheh Lashkari' 'Shojaeddin Chenouri'] Measurement system analysis aims to quantify the variability in data attributable to the measurement system and evaluate its contribution to overall data variability. This paper conducts a rigorous theoretical investigation of the…
Robert Steinhauser, Marco Steinhauser
The concurrent execution of temporally overlapping tasks leads to considerable interference between the subtasks, which is overcome by a neural mechanism that actively defers processing of the secondary task. In this study, we recorded error-related scalp potentials to investigate whether such a mechanism can also be…
Authors not listed
This study presents a validation and refinement of the “yellow cards” error detection workflow that can be applied to any property connected to molecular structure. In our implementation the workflow employed 5 predictive models with each assigning a “yellow card” to 5% of the entries with worst prediction accuracy.…
H. Sherry Zhang, Roger D. Peng
Checks Authors: ['H. Sherry Zhang' 'Roger D. Peng'] In data analysis, unexpected results often prompt researchers to revisit their procedures to identify potential issues. While some researchers may struggle to identify the root causes, experienced researchers can often quickly diagnose problems by checking a few key…
Surajit Nandi, Jonas Busk, Peter Bjørn Jørgensen, Tejs Vegge + 1 more
Workflows to predict chemical reaction networks based on density functional theory (DFT) are prone to systematic errors in reaction energy due to the extensive use of cheap DFT exchange-correlation functionals to limit computational cost. Recently, machine learning-based models are increasingly applied to mitigate this…
Max Neuwinger, Dirk Riehle
—The design of effective programming languages, libraries, frameworks, tools, and platforms for data engineering strongly depends on their ease and correctness of use. Anyone who ignores that it is humans who use these tools risks building tools that are useless, or worse, harmful. To ensure our data engineering tools…
Authors not listed
The precision of thermodynamic modeling for ionic liquid (IL)–solute systems is fundamentally reliant on the quality of experimental data. However, prevalent databases such as ILThermo frequently exhibit conflicting measurements for the same systems under identical temperature and pressure conditions. These disparities…