scholarly journals Quality Control Factors Influencing the Successful and Reliable Implementation of Oocyte and Embryo Vitrification

10.5772/65332 ◽  
2016 ◽  
Author(s):  
Mitchel C. Schiewe
Keyword(s):  
Quality Control ◽  
Control Factors ◽  
Factors Influencing

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.

Understanding Tasmanian dairy farmer adoption of pasture management practices: a Theory of Planned Behaviour approach

2019 ◽  
Vol 59 (10) ◽  
pp. 1941 ◽  
Author(s):  
Alison Hall ◽  
Lydia Turner ◽  
Sue Kilpatrick
Keyword(s):  
Tool Use ◽  
Perceived Control ◽  
Theory Of Planned Behaviour ◽  
Management Practices ◽  
Measurement Tool ◽  
Pasture Management ◽  
Dairy Farmers ◽  
Planned Behaviour ◽  
Control Factors ◽  
Factors Influencing

Improved pasture management and increased pasture utilisation are positively associated with dairy farm efficiency and profitability in Tasmania. Supporting dairy farmers in developing pasture management knowledge and skills has been a key priority for research, development and extension in the Tasmanian dairy industry. The role of extension has been to increase farmer awareness and knowledge of best practice pasture management and to facilitate farmer learning, focusing on training farmers to use pasture measurement tools. However, many farmers have never used a pasture measurement tool, only trialled/tested a tool, and/or do not implement recommended pasture management practices. This study aimed to identify and understand factors influencing pasture management decision-making and behaviour for different farmer subgroups. Qualitative data was obtained through semi-structured interviews with 30 Tasmanian dairy farmers. The Theory of Planned Behaviour was used to identify and explore key factors influencing pasture management behaviour. There was a negative effect of social influence on pasture measurement tool use by experienced farmers, with many perceiving tool use to be for less experienced, younger farmers. This negative influence limited their intention to measure pasture and engage in the learning process required to overcome perceived control factors and change practices. Perceived control factors limiting behaviour change included tool data inaccuracy and challenging calculations associated with applying measurement data on-farm. This study demonstrates how the Theory of Planned Behaviour can be used to identify and understand factors influencing adoption behaviour of Tasmanian dairy farmers and assist in developing recommendations for future extension and pasture management programs.

scholarly journals Constraints on control: factors influencing reproductive success in male mandrills (Mandrillus sphinx)

2005 ◽  
Vol 16 (3) ◽  
pp. 614-623 ◽  
Author(s):  
Marie Charpentier ◽  
Patricia Peignot ◽  
Martine Hossaert-McKey ◽  
Olivier Gimenez ◽  
Joanna M. Setchell ◽  
...  
Keyword(s):  
Reproductive Success ◽  
Mandrillus Sphinx ◽  
Control Factors ◽  
Factors Influencing

scholarly journals Development and Implementation of the Quality Management System as Applied to the Production of Medical Immunobiological Preparations at the Russian Research Anti-Plague Institute Microbe

2012 ◽  
pp. 96-98
Author(s):  
O. A. Lobovikova ◽  
I. V. Shul'gina ◽  
A. K. Nikiforov
Keyword(s):  
Quality Control ◽  
Quality Assurance ◽  
Quality Management ◽  
Russian Federation ◽  
Management System ◽  
Quality Management System ◽  
Iso 9001 ◽  
Design And Implementation ◽  
Factors Influencing ◽  
Russian Research

Developed are the methodical approaches for design and implementation of quality management system(QMS) in the production of preventive and diagnostic medical immunobiological preparations manufactured at the Russian Research Anti-Plague Institute Microbe. Analyzed and generalized is the current legislative-normative framework of Russian Federation in the sphere of quality control and quality assurance. Factors influencing the quality management system are revealed. QMS is certified in conformity with the requirements of international standard ISO 9001.

scholarly journals Mutations Outside the Ure2 Amyloid-Forming Region Disrupt [URE3] Prion Propagation and Alter Interactions with Protein Quality Control Factors

2020 ◽  
Vol 40 (21) ◽  
Author(s):  
Shailesh Kumar ◽  
Elliot A. Dine ◽  
Ethan Paddock ◽  
Danielle N. Steinberg ◽  
Lois E. Greene ◽  
...  
Keyword(s):  
Quality Control ◽  
Protein Quality ◽  
De Novo ◽  
Protein Quality Control ◽  
Functional Domain ◽  
Amyloid Formation ◽  
Yeast Prions ◽  
Control Factors ◽  
Prion Propagation

ABSTRACT The yeast prion [URE3] propagates as a misfolded amyloid form of the Ure2 protein. Propagation of amyloid-based yeast prions requires protein quality control (PQC) factors, and altering PQC abundance or activity can cure cells of prions. Yeast antiprion systems composed of PQC factors act at normal abundance to restrict establishment of the majority of prion variants that arise de novo. While these systems are well described, how they or other PQC factors interact with prion proteins remains unclear. To gain insight into such interactions, we identified mutations outside the Ure2 prion-determining region that destabilize [URE3]. Despite residing in the functional domain, 16 of 17 mutants retained Ure2 activity. Four characterized mutations caused rapid loss of [URE3] yet allowed [URE3] to propagate under prion-selecting conditions. Two sensitized [URE3] to Btn2, Cur1, and Hsp42, but in different ways. Two others reduced amyloid formation in vitro. Of these, one impaired prion replication and the other apparently impaired transmission. Thus, widely dispersed sites outside a prion’s amyloid-forming region can contribute to prion character, and altering such sites can disrupt prion propagation by altering interactions with PQC factors.

MODELING OF PROCESSES AFFECTING THE QUALITY OF CONCRETE ROAD SURFACES

2021 ◽  
Vol 14 (1) ◽  
pp. 38-44
Author(s):  
Aleksandr Merkulov ◽  
S. Nikolenko ◽  
Svetlana Sazonova
Keyword(s):  
Quality Control ◽  
Defect Formation ◽  
Concrete Pavements ◽  
Factors Influencing ◽  
Road Surfaces

This paper considers the main processes that affect the quality of concrete pavements. The processes of quality control of concrete constituents, the process of its production, as well as control of road surfaces that have fully gained strength and are ready for use are considered. Examples of defect formation on concrete pavements are given. The factors influencing their appearance and the measures that exclude their formation are considered.

Combinations of slow-translating codon clusters can increase mRNA half-life in Saccharomyces cerevisiae

2021 ◽  
Vol 118 (51) ◽  
pp. e2026362118
Author(s):  
Ajeet K. Sharma ◽  
Johannes Venezian ◽  
Ayala Shiber ◽  
Günter Kramer ◽  
Bernd Bukau ◽  
...  
Keyword(s):  
Saccharomyces Cerevisiae ◽  
Quality Control ◽  
Half Life ◽  
Synergistic Effects ◽  
Cellular Protein ◽  
Start Codon ◽  
Translational Efficiency ◽  
Control Factors ◽  
The Impact ◽  
Mrna Half Life

The presence of a single cluster of nonoptimal codons was found to decrease a transcript’s half-life through the interaction of the ribosome-associated quality control machinery with stalled ribosomes in Saccharomyces cerevisiae. The impact of multiple nonoptimal codon clusters on a transcript’s half-life, however, is unknown. Using a kinetic model, we predict that inserting a second nonoptimal cluster near the 5′ end can lead to synergistic effects that increase a messenger RNA’s (mRNA’s) half-life in S. cerevisiae. Specifically, the 5′ end cluster suppresses the formation of ribosome queues, reducing the interaction of ribosome-associated quality control factors with stalled ribosomes. We experimentally validate this prediction by introducing two nonoptimal clusters into three different genes and find that their mRNA half-life increases up to fourfold. The model also predicts that in the presence of two clusters, the cluster closest to the 5′ end is the primary determinant of mRNA half-life. These results suggest the “translational ramp,” in which nonoptimal codons are located near the start codon and increase translational efficiency, may have the additional biological benefit of allowing downstream slow-codon clusters to be present without decreasing mRNA half-life. These results indicate that codon usage bias plays a more nuanced role in controlling cellular protein levels than previously thought.

Quality control in orthodontics: factors influencing the receipt of orthodontic treatment

BDJ ◽  
1991 ◽  
Vol 170 (2) ◽  
pp. 66-68 ◽  
Author(s):  
W C Shaw ◽  
K D O'Brien ◽  
S Richmond
Keyword(s):  
Quality Control ◽  
Orthodontic Treatment ◽  
Factors Influencing

Analytical Methodology for Determining Glucosinolate Composition and Content

1983 ◽  
Vol 66 (4) ◽  
pp. 825-849 ◽  
Author(s):  
Douglas I Mcgregor ◽  
William J Mullin ◽  
Gruffydd R Fenwick
Keyword(s):  
Quality Control ◽  
Sample Preparation ◽  
Plant Material ◽  
Current Knowledge ◽  
Analytical Techniques ◽  
Rapid Screening ◽  
Agricultural Crops ◽  
Analytical Methodology ◽  
The Past ◽  
Factors Influencing

Abstract New analytical techniques and instrumentation and increased knowledge of the diversity and distribution of glucosinolates, the diversity of their enzymatically released products, and factors influencing their release, have led to significant advances in methodology for analysis of glucosinolates over the past three decades. However, many of the methods have been developed for specific agricultural crops or commodities and their particular glucosinolate compositions. They can only be applied to certain types of plant material or can detect and quantitate only certain glucosinolates or their products. Other methods have been designed to meet specific research, regulatory, or quality control requirements. This had necessitated sacrifice of either speed, simplicity, accuracy, precision, or the ability to distinguish different glucosinolates or their products. This review examines the methods available for sample preparation, identification, and quantitation of glucosinolates in light of current knowledge of their diversity, distribution, and chemistry. Consideration is given to the suitability of methods for rapid screening or precise, discriminating measurement, and to the standardization of methodology and reporting of results.

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