Metacognitively guided retrieval and report (META-RAR): Quality control processes in recall

2009 ◽  
Author(s):  
Morris Goldsmith ◽  
Larry L. Jacoby ◽  
Vered Halamish ◽  
Christopher N. Wahlheim
Keyword(s):  
Quality Control ◽  
Control Processes

scholarly journals STL_Process: A .STL-based preprocessor for robot path planning in manufacturing and quality control processes

SoftwareX ◽  
2021 ◽  
Vol 15 ◽  
pp. 100725
Author(s):  
Abanti Shama Afroz ◽  
Francesco Inglese ◽  
Cesare Stefanini ◽  
Mario Milazzo
Keyword(s):  
Quality Control ◽  
Path Planning ◽  
Robot Path Planning ◽  
Control Processes ◽  
Robot Path

scholarly journals Long-Term Calorie Restriction Enhances Cellular Quality-Control Processes in Human Skeletal Muscle

Cell Reports ◽  
2016 ◽  
Vol 14 (3) ◽  
pp. 422-428 ◽  
Author(s):  
Ling Yang ◽  
Danilo Licastro ◽  
Edda Cava ◽  
Nicola Veronese ◽  
Francesco Spelta ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Quality Control ◽  
Calorie Restriction ◽  
Human Skeletal Muscle ◽  
Control Processes

scholarly journals Recirculating Aquaculture Technologies

2019 ◽  
pp. 35-76 ◽  
Author(s):  
Carlos A. Espinal ◽  
Daniel Matulić
Keyword(s):  
Water Quality ◽  
Quality Control ◽  
Wastewater Treatment ◽  
Water Quality Control ◽  
New Developments ◽  
The Past ◽  
Control Processes ◽  
Recirculating Aquaculture ◽  
Recirculating Aquaculture Systems ◽  
Aquaculture Production

AbstractRecirculating aquaculture technology, which includes aquaponics, has been under development for the past 40 years from a combination of technologies derived from the wastewater treatment and aquaculture sectors. Until recently, recirculating aquaculture systems (RAS) farms have been relatively small compared with other types of modern aquaculture production. The last two decades have seen a significant increase in the development of this technology, with increased market acceptance and scale. This chapter provides a brief overview of the history, water quality control processes, new developments and ongoing challenges of RAS.

scholarly journals Quality assurance and quality control processes: summary of a metabolomics community questionnaire

Metabolomics ◽  
2017 ◽  
Vol 13 (5) ◽  
Author(s):  
Warwick B. Dunn ◽  
David I. Broadhurst ◽  
Arthur Edison ◽  
Claude Guillou ◽  
Mark R. Viant ◽  
...  
Keyword(s):  
Quality Control ◽  
Quality Assurance ◽  
Control Processes

scholarly journals A large-scale image dataset of wood surface defects for automated vision-based quality control processes

F1000Research ◽  
2021 ◽  
Vol 10 ◽  
pp. 581
Author(s):  
Pavel Kodytek ◽  
Alexandra Bodzas ◽  
Petr Bilik
Keyword(s):  
Quality Control ◽  
High Speed ◽  
Large Scale ◽  
Surface Defects ◽  
Recognition Rate ◽  
Raw Material ◽  
Technical Solution ◽  
Control Processes ◽  
Wide Range ◽  
Authentic Data

The wood industry is facing many challenges. The high variability of raw material and the complexity of manufacturing processes results in a wide range of visible structure defects, which have to be controlled by trained specialists. These manual processes are not only tedious and biased, but also less effective. To overcome the drawbacks of the manual quality control processes, several automated vision-based systems have been proposed. Even though some conducted studies achieved a higher recognition rate than trained experts, researchers have to deal with a lack of large-scale databases and authentic data in this field. To address this issue, we performed a data acquisition experiment set in the industrial environment, where we were able to acquire an extensive set of authentic data from a production line. For this purpose, we designed and implemented a complex technical solution suitable for high-speed acquisition during harsh manufacturing conditions. In this data note, we present a large-scale dataset of high-resolution sawn timber surface images containing more than 43 000 labelled surface defects and covering 10 types of the most common wood defects. Moreover, with each image record, we provide two types of labels allowing researchers to perform semantic segmentation, as well as defect classification, and localization.

Metacognitive Quality-Control Processes in Memory Retrieval and Reporting

2015 ◽  
Author(s):  
Morris Goldsmith
Keyword(s):  
Quality Control ◽  
Memory Retrieval ◽  
Metacognitive Knowledge ◽  
Retrieval Strategy ◽  
False Information ◽  
Retrieval Cues ◽  
Control Processes ◽  
Front End

Quality control in memory retrieval and reporting is achieved both by “back-end” processes designed to identify and screen out defective (false) retrieval products and by “front-end” processes that attempt to prevent the retrieval of false information in the first place. Front-end processes utilize metacognitive knowledge in choosing an appropriate retrieval strategy and in specifying and applying effective and constraining retrieval cues. Back-end processes monitor the correctness of the retrieved information and on that basis, together with strategic considerations concerning the perceived payoffs for accuracy and informativeness, control whether or not to report the retrieved information and if so, at what level of precision to report it. This chapter presents a selective overview of research and theory on these complementary aspects of memory quality control, guided by an overarching metacognitive framework that delineates the underlying metacognitive mechanisms and their potential contributions to the quantity and accuracy of information reported from memory.

scholarly journals How to Get Better Survey Data More Efficiently

2020 ◽  
pp. 1-18
Author(s):  
Mollie J. Cohen ◽  
Zach Warner
Keyword(s):  
Quality Control ◽  
Public Opinion ◽  
Control Processes ◽  
Public Opinion Surveys ◽  
Final Sample ◽  
Study Results ◽  
Small Set ◽  
Control Procedures ◽  
Using Data ◽  
The Many

Abstract A key challenge facing many large, in-person public opinion surveys is ensuring that enumerators follow fieldwork protocols. Implementing “quality control” processes can improve data quality and help ensure the representativeness of the final sample. Yet while public opinion researchers have demonstrated the utility of quality control procedures such as audio capture and geo-tracking, there is little research assessing the relative merits of such tools. In this paper, we present new evidence on this question using data from the 2016/17 wave of the AmericasBarometer study. Results from a large classification task demonstrate that a small set of automated and human-coded variables, available across popular survey platforms, can recover the final sample of interviews that results when a full suite of quality control procedures is implemented. Taken as a whole, our results indicate that implementing and automating just a few of the many quality control procedures available can streamline survey researchers’ quality control processes while substantially improving the quality of their data.

Rapid stability-indicative turbidimetric assay to determine the potency of cefadroxil monohydrate capsules

2018 ◽  
Vol 10 (6) ◽  
pp. 660-666 ◽  
Author(s):  
Bianca Aparecida de Marco ◽  
Hérida Regina Nunes Salgado
Keyword(s):  
Quality Control ◽  
Biological Activities ◽  
Control Processes ◽  
Microbiological Methods ◽  
Physicochemical Methods ◽  
Turbidimetric Assay

Microbiological methods for the analysis of antimicrobials are indispensable to quality control processes, since they can provide important information about their biological activities, which physicochemical methods are not able to provide.

Sign in / Sign up

Export Citation Format

Share Document