23 papers · ranked by Valyu relevance
Shiyang Liu
Understanding the challenges inherent in Chinese-Spanish sight translation for undergraduate students is essential for enhancing their interpretation ability and accuracy. However, sight translation errors have rarely been studied, especially for Chinese-Spanish language pair. This study builds a corpus of Chinese…
Jun Yuan, Jesse Vig, Nazneen Fatema Rajani
Error analysis in NLP models is essential to successful model development and deployment. One common approach for diagnosing errors is to identify subpopulations in the dataset where the model produces the most errors. However, existing approaches typically define subpopulations based on pre-defined features, which…
Eduardo Mazoni Andrade Marçal Mendes, Fábio Petrillo
—The choice of log severity level can be challenging and cause problems in producing reliable logging data. However, there is a lack of specifications and practical guidelines to support this challenge. In this study, we present a multivocal systematic mapping of log severity levels from literature peerreviewed…
Alexander Muacevic, John R Adler, Rashmi Ranjan Guru, Ishani Bora + 8 more
'B Soujanya Kumar' 'Sumit kumar Sangat' 'Subhodip Mitra' 'Vikramjeet Dutta' 'Rahul Kumar' 'Swayamprava Dalai' 'Prasad Bhanap' 'Meenakshi Sharma'] Background The Lean Six Sigma tools are widely used in various industries, including healthcare, to reduce waste and improve quality. This study investigated how Lean Six…
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…
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…
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…
Eleonora Vitagliano, Chiara D'Ambrogi, Ilaria Spassiani, Rosa Di Maio
'Rosa Di Maio'] Numerical back-stripping procedure is crucial for understanding the geological mechanisms of basin formation or for reconstructing the palaeo-bathymetry in the oceanic regions. However, the importance of errors associated with data acquisition, processing and interpretation is often underestimated.…
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…
Han Shu, Chunlong Zou, Jianyu Chen, Shenghuai Wang
Flatness error is an important factor for effective evaluation of surface quality. The existing flatness error evaluation methods mainly evaluate the flatness error of a small number of data points on the micro scale surface measured by CMM, which cannot complete the flatness error evaluation of three-dimensional point…
William Daniels, Meng Jia, Dorit Hammerling
We propose a generic, modular framework for emission event detection, localization, and quantification on oil and gas production sites that uses concentration data collected by pointin-space continuous monitoring systems (CMS). The framework uses a gradient-based spike detection algorithm to estimate emission start and…
Li‐Pang Chen, Su‐Fen Yang
Control charts are important tools to monitor quality of products. One of useful applications is to monitor the proportion of non-conforming products. However, in practical applications, measurement error is ubiquitous and may occur due to false records or misclassification, which makes the observed proportion…
Guanghui Zhang, Steven J. Luck
Although it is widely accepted that data quality for event-related potential (ERP) components varies considerably across studies and across participants within a study, ERP data quality has not received much systematic analysis. The present study used a recently developed metric of ERP data quality— the standardized…
William Daniels, Meng Jia, Dorit Hammerling
We propose a generic, modular framework for methane emission event detection, localization, and quantification on oil and gas production sites that uses concentration and wind data collected by point-in-space continuous monitoring systems. The framework uses a gradient-based spike detection algorithm to estimate…
Matthew Aquilina, Nathan J.W. Wu, Kiros Kwan, Filip Bušić + 5 more
Gel electrophoresis is a ubiquitous laboratory method for the separation and semi-quantitative analysis of biomolecules. However, gel image analysis principles have barely advanced for decades, in stark contrast to other fields where AI has revolutionised data processing. Here, we show that an AI-based system can…
Marli van Heerden, Jaya A. George, Siyabonga Khoza
Medical laboratories strive to produce accurate reproducible results as physicians rely on these for diagnosis, monitoring, and prognostication of patients.1 To produce results with no errors, medical laboratories thus monitor and evaluate analytical processes using several different quality control (QC) processes. In…
Şerif Ercan
Entre un 60 y un 70 % de los diagnósticos y tratamientos médicos se establecen en función de los datos obtenidos en el laboratorio clínico . De este modo, con el objetivo de garantizar la seguridad del paciente, se deben observar todas las actividades que componen el proceso analítico total, que se desarrolla en tres…
Ranjeeta Gadde, Venkatappa HM
A zero defects goal was implemented in the clinical laboratory settings using a six-sigma model. Daily Internal Quality Control (IQC) and external quality control data from April-September 2023 was extracted to calculate the sigma metrics of 21 biochemical analytes based on Total Error Allowable (TEa), % bias and…
Tülay Çevlik, Goncagül Haklar
Clinical laboratories are constantly making great efforts to produce more efficient and reliable results. Quality control plays a vital role in the laboratory’s ability to produce accurate test results, and it has been a component of laboratory medicine for more than 50 years. While the first quality control methods…
Stephane Hess, Andrew Daly, Michiel C.J. Bliemer, C. Ángelo Guevara + 2 more
This paper offers a commentary on the use of notions of statistical significance in choice modelling. We review the reasons for uncertainty in parameter estimates, provide a precise discussion on the computation of measures of uncertainty and confidence intervals, and discuss the use of statistical tests. We argue…
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…
H. Swofford, S. Lund, H. Iyer, J. Butler + 5 more
'V. Desiderio' 'J.P. Jones' 'R. Ramotowski'] In recent years, there has been discussion and controversy relating to the treatment of inconclusive decisions in forensic feature comparison disciplines when considering the reliability of examination methods and results. In this article, we offer a brief review of the…
Zen Faulkes
Comparing averages requires knowing sample variation, which can be shown visually using a bar graph with error bars or a box plot. Because error bars and box plots can show different measures, they must be labelled to be interpretable. Of graphs of averages shown at a scientific conference in 2020, 87.5% of graphs did…