16 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…
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…
Yajin Zhuang, Liwen Chen, Wei Lun Wong
Errors, as linguistic manifestations of cognitive challenges in interpreting, have attracted considerable attention in the fields of teaching, practice, and assessment. This paper examines the nature of interpreting errors among Chinese EFL (English as a Foreign Language) learners and explores their relationship with…
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…
Viraj Joshi, Pravin Mane
The paper presents a novel architecture of approximate adder and a novel generic error analysis method. The proposed architecture judiciously make use of time axis based parallelism of components to improve delay and simultaneously improvement in error parameters due to adaptive increase in group-size of carry…
Brian W. Ward
Data from surveys are an invaluable resource for health research, and using correct statistical techniques is important when analyzing public health survey data to produce accurate findings that can inform policy and program decision-making. Yet, as a peer reviewer of scientific journals, I regularly find that many…
Thomas R. Fanshawe, Margaret Glogowska, George Edwards, Philip J. Turner + 6 more
We follow the taxonomy suggested by Meier & Jones , following Kost . Our focus is on the ‘specimen collection’ and ‘specimen evaluation’ stages of the pre-analytical phase, while recognising that in some circumstances errors reported as occurring in the analytic phase may also have been caused by incorrect specimen…
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…
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…
Roland Pfister, Anna Foerster, Katharina A. Schwarz, Samuel Varga + 2 more
The error-related negativity (ERN) is a classic electrophysiological index of error detection. However, the present study challenges its classical functional interpretation by analyzing the ERN relative to the termination of erroneous actions (response offsets), a behavioral marker of error cancellation. Our findings…
Roland Pfister, Anna Foerster
Post-error slowing is one of the most widely employed measures to study cognitive and behavioral consequences of error commission. Several methods have been proposed to quantify the post-error slowing effect, and we discuss two main methods: The traditional method of comparing response times in correct post-error…
Sara-Jane Lécuyer, Keleiali'i Urima, Carole Sénéchal, Frank Crispino
This exploratory research examines the implication of science in 92 Canadian wrongful convictions officially recognized by the state. The analysis revealed that science played a role in 30 cases, but 97% of those errors stemmed from the misinterpretation or overstatement of reliable scientific results, predominantly in…
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…
Edsaúl Emilio Pérez-Guerrero, Miryam Rosario Guillén-Medina, Fabiola Márquez-Sandoval, José María Vera-Cruz + 5 more
'Fabiola Márquez-Sandoval' 'José María Vera-Cruz' 'Martha Patricia Gallegos-Arreola' 'Manuel Alejandro Rico-Méndez' 'José Alonso Aguilar-Velázquez' 'Itzae Adonai Gutiérrez-Hurtado' 'Gabriel Chodick'] Epidemiological studies are essential in medicine and public health as they help identify risk factors and causes of…
Hector Florez, Mario Sánchez, Jorge Villalobos
Enterprise models are created for documenting and communicating the structure and state of Business and Information Technologies elements of an enterprise. After models are completed, they are mainly used to support analysis. Model analysis is an activity typically based on human skills and due to the size and…