scholarly journals EVALUATION METHOD OF AIR CLEANING ABILITY OF TURBULENT FLOW TYPE CLEANROOM : Selection of elements and quality control using statistical method

1991 ◽  
Vol 421 (0) ◽  
pp. 39-49
Author(s):  
Yoshinobu SUZUKI ◽  
Shuji FUJII
Keyword(s):  
Quality Control ◽  
Turbulent Flow ◽  
Statistical Method ◽  
Evaluation Method ◽  
Air Cleaning ◽  
Flow Type ◽  
Selection Of

QUALITATIVE STABILITY OF WINTER WHEAT VARIETIES AT DIFFERENT LOCATIONS

2000 ◽  
Vol 48 (2) ◽  
pp. 191-195
Author(s):  
C. Kondora ◽  
M. Szabó ◽  
A. Máté ◽  
G. Szabó
Keyword(s):  
Quality Control ◽  
Winter Wheat ◽  
Evaluation Method ◽  
Wheat Varieties ◽  
Local Conditions ◽  
Grain Yields ◽  
Baking Quality ◽  
Small Plot ◽  
High Yielding Varieties ◽  
Winter Wheat Varieties

Owing to the significant differences in the adaptability of state-registered varieties, those which can adapt well to the local conditions should be given preference. There are several high-yielding varieties available in Hungary with excellent agronomic properties, good adaptability and satisfactory baking quality. This study was conducted to analyse the adaptability of 34 state-registered winter wheat varieties tested in the small plot trials of the National Institute for Agricultural Quality Control (NIAQC) at 5–9 locations between 1994 and 1997 based on their gluten quantity and farinographic index. For the comparison of the varieties the evaluation method of Eberhart and Russell (1966) was applied as modified by Bedő and Balla (1977). The qualitative stability and adaptability values of the varieties differ from the adaptability and stability values calculated from the grain yields. Some winter wheat varieties have good qualitative adaptability and stability, while others have special adaptability and poor qualitative stability, but the majority of the varieties do not belong to these groups.

scholarly journals A Multi-Attribute Decision Method under Uncertainty Environment Conditions—The Green Supplier Evaluation Perspective

2021 ◽  
Vol 18 (1) ◽  
pp. 344
Author(s):  
Hao Xu ◽  
Liuxin Chen ◽  
Qiongfang Li ◽  
Jianchao Yang
Keyword(s):  
Environmental Pollution ◽  
Evaluation Method ◽  
External Environment ◽  
Environmental Indicators ◽  
Supplier Evaluation ◽  
Uncertain Environment ◽  
Green Suppliers ◽  
Uncertainty Environment ◽  
Selection Of

Due to the continuous changes of political environment, consumption habits, technological progress and other factors, the external environment of enterprises is full of uncertainty. The turbulence of external environment is not conducive to the long-term operation and development of enterprises, but also brings great challenges to the selection of suppliers. This makes the competition of enterprises focus on how to choose long-term cooperation suppliers in the uncertain external environment. In addition, due to the deterioration of the global environment, governments pay more and more attention to environmental pollution, and consumers are more and more inclined to green consumption, which makes many companies pay more and more attention to environmental indicators when selecting suppliers. In the case of external environment turbulence and serious environmental pollution, the evaluation and selection of green suppliers in uncertain environment is particularly important for the long-term development of enterprises. What’s more, when the supplier’s capability gap is small, the decision-maker often hesitates among several suppliers. In this paper, the hesitant fuzzy is used to describe the hesitant psychology of decision-makers in selecting suppliers, the variance fluctuation is used to describe the characteristics of hesitant fuzzy numbers, and the probability is used to measure the uncertainty of the environment. A green supplier evaluation model under the uncertainty environment is proposed, which comprehensively evaluates the green suppliers under the uncertain environment. Furthermore, it is compared with other methods that do not consider the uncertainty and the adaptability of evaluation method and right confirmation method, so as to reflect the influence of uncertainty to green supplier evaluation and the importance of adaptability of evaluation method and right confirmation method.

scholarly journals Tracing total and dissolved material in a western Canadian basin using quality control samples to guide the selection of fingerprinting parameters for modelling

CATENA ◽  
2021 ◽  
Vol 200 ◽  
pp. 105095
Author(s):  
J.P. Laceby ◽  
P.V.G. Batista ◽  
N. Taube ◽  
M.K. Kruk ◽  
C. Chung ◽  
...  
Keyword(s):  
Quality Control ◽  
Canadian Basin ◽  
Selection Of ◽  
Control Samples

scholarly journals Expanding HadISD: quality-controlled, sub-daily station data from 1931

2016 ◽  
Author(s):  
Robert J. H. Dunn ◽  
Kate M. Willett ◽  
David E. Parker ◽  
Lorna Mitchell
Keyword(s):  
Quality Control ◽  
Wind Speed ◽  
Time Range ◽  
Underlying Structure ◽  
Control Procedure ◽  
Future Projections ◽  
Quality Control Procedure ◽  
Temporal Coverage ◽  
Extremes Of Temperature ◽  
Selection Of

Abstract. HadISD is a sub-daily, station-based, quality-controlled dataset designed to study past extremes of temperature, pressure and humidity and allow comparisons to future projections. Herein we describe the first major update to the HadISD dataset. The temporal coverage of the dataset has been extended to 1931 to present, doubling the time range over which data are provided. Improvements made to the station selection and merging procedures result in 7677 stations being provided in version 2.0.0.2015p of this dataset. The selection of stations to merge together making composites has also been improved and made more robust. The underlying structure of the quality control procedure is the same as for HadISD.1.0.x, but a number of improvements have been implemented in individual tests. Also, more detailed quality control tests for wind speed and direction have been added. The data will be made available as netCDF files at www.metoffice.gov.uk/hadobs/hadisd and updated annually.

scholarly journals Multivariate Statistical Analysis Uncovers Spectrum–Effect Relationship between HPLC Fingerprints and Antioxidant Activity of Saffron

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Ya You ◽  
Zijin Xu ◽  
Qingrou Zhong ◽  
Lin Zhu ◽  
Susu Lin ◽  
...  
Keyword(s):  
Antioxidant Activity ◽  
Quality Control ◽  
Evaluation Method ◽  
Control Method ◽  
Partial Least Square ◽  
Least Square ◽  
Crocus Sativus ◽  
Effect Relationship ◽  
Spectrum Effect

Crocus sativus L. is commonly used as functional food and medicinal herb in traditional Chinese medicine. In this study, the spectrum–effect relationship was established between HPLC fingerprints and in vitro antioxidant activity of saffron to improve the quality evaluation method of saffron. The fingerprints of 21 batches of saffron collected from different regions were assessed, and the data were further analyzed by chemometric methods, including similarity analysis, hierarchical clustering analysis, principal component analysis, and orthogonal partial least squares discriminant analysis. The spectrum–effect relationship between fingerprints and antioxidant effect of saffron was analyzed by grey relational analysis and partial least square methods to figure out the antioxidant component of saffron. Thirteen common peaks of 21 batches of saffron were included in the analysis, and peak 3 (picrocrocin), peak 7 (crocin I), and peak 10 (crocin II) were identified as the main active components responsible for antioxidant efficacy. Besides, a multi-index quality control method was developed for simultaneous determination of these three antioxidant components in saffron. Taken together, this study provided new strategies for the quality control and the development of new bioactive products of saffron in the future.

scholarly journals Design and Implementation of 16 Quality Indices for Neonatal Screening

2021 ◽  
Author(s):  
Yao Chen ◽  
Yinglin Zeng ◽  
Xiaolong Qiu ◽  
Feng Lin ◽  
Hong Zhao ◽  
...  
Keyword(s):  
Quality Control ◽  
Quality Management ◽  
Neonatal Screening ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Disease Screening ◽  
Management Information ◽  
Neonatal Disease ◽  
Medical Institutions

Abstract Background: We aim to explore the realization of 16 quality control indices of neonatal disease screening in neonatal disease management information system, and to establish the multi-center management evaluation model under the framework of the whole province. Methods: Based on the network management system for neonatal screening originally used in our province, the quality management module of neonatal disease was developed and applied according to the quality control index. A quantitative evaluation method was established for the quality of all maternal and child health care institutions involved in neonatal disease screening related to neonatal disease screening, specimen collection and recall of suspected cases. Results: The quality management information was shared by all neonatal screening agencies. Comprehensive evaluation was given to the multi-center quality management measurements. Comprehensive evaluation was performed to quality among different medical institutions. Evaluation of applicability and timeliness of quality in practical work was conducted accordingly. Conclusions: The timeliness of self-improvement in centers and medical institutions were improved. The application of neonatal disease screening quality management index improved the requirements for neonatal screening management. The quality management module was adopted to conduct dynamic management of the whole management process, which greatly improved the overall management level of neonatal screening.

scholarly journals Chemical Biology Framework to Illuminate Proteostasis

2020 ◽  
Vol 89 (1) ◽  
pp. 529-555 ◽  
Author(s):  
Rebecca M. Sebastian ◽  
Matthew D. Shoulders
Keyword(s):  
Quality Control ◽  
Protein Folding ◽  
Chemical Biology ◽  
Control Factors ◽  
Network Composition ◽  
Network Component ◽  
Selection Of ◽  
In Cells

Protein folding in the cell is mediated by an extensive network of >1,000 chaperones, quality control factors, and trafficking mechanisms collectively termed the proteostasis network. While the components and organization of this network are generally well established, our understanding of how protein-folding problems are identified, how the network components integrate to successfully address challenges, and what types of biophysical issues each proteostasis network component is capable of addressing remains immature. We describe a chemical biology–informed framework for studying cellular proteostasis that relies on selection of interesting protein-folding problems and precise researcher control of proteostasis network composition and activities. By combining these methods with multifaceted strategies to monitor protein folding, degradation, trafficking, and aggregation in cells, researchers continue to rapidly generate new insights into cellular proteostasis.

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