25 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…
K.M. Meer, P.G. Nelson, K. Xiong, J. Masel
Errors in gene transcription can be costly, and organisms have evolved to prevent their occurrence or mitigate their costs. The simplest interpretation of the drift barrier hypothesis suggests that species with larger population sizes would have lower transcriptional error rates. However, Escherichia coli seems to have…
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…
Rafael Simas, Felipe Maestri, David Normando
implications Authors: Rafael Simas, Felipe Maestri, David Normando Statistical analysis is, in fact, an error analysis. A statistical test does not guarantee reliable results, it only quantifies the probability of error of a given conclusion.1 While reading the articles of this journal, you will find a p-value. For…
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…
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…
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…
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…
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…
Leonor Guiñón, Anna Soler, Mónica Gisell Díaz, Rosa María Fernández + 4 more
'Nayra Rico' 'Josep Lluís Bedini' 'Aurea Mira' 'Luisa Alvarez'] Introduction Laboratories minimize risks through quality control but analytical errors still occur. Risk management can improve the quality of processes and increase patient safety. This study aims to use the failure mode and effect analysis (FMEA) to…
Xiaoming Ye, Haibo Liu, Xuebin Xiao, Mo Ling
In several literatures, the authors give a new thinking of measurement theory system based on error non-classification philosophy, which completely overthrows the existing measurement concept system of precision, trueness and accuracy. In this paper, by focusing on the issues of error's regularities and effect…
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…
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…
Zeynep Tugce Kalender, Hakan Tozan, Ozalp Vayvay
Medical errors negatively affect patients, healthcare professionals, and healthcare establishments. Therefore, all healthcare service members should be attentive to medical errors. Research has revealed that most medical errors are caused by the system, rather than individuals. In this context, guaranteeing patient…
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…
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…
Martin Völker, Lukas D.J. Fiederer, Sofie Berberich, Jiří Hammer + 9 more
Error detection in motor behavior is a fundamental cognitive function heavily relying on cortical information processing. Neuronal activity in the high-gamma frequency band (HGB) closely reflects such local cortical processing, but little is known about its role in error processing, particularly in the healthy human…
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…
Antonio Monleon-Getino
An interlaboratory calibration analysis was carried out to validate a methodology for a European standard for domestic laundry disinfection, using different doses of disinfectant and microorganisms. ISO 5725-2 and ISO 13528 form the basis of interlaboratory validations of quantitative methods, but there is a need for a…
Seth D König, Sandra Safo, Kai Miller, Alexander B. Herman + 1 more
Time series analysis is critical for understanding brain signals and their relationship to behavior and cognition. Cluster-based permutation tests (CBPT) are commonly used to analyze a variety of electrophysiological signals including EEG, MEG, ECoG, and sEEG data without a priori assumptions about specific temporal…