Fast extraction of high-quality framework-specific models from application code

2008 ◽  
Vol 16 (1) ◽  
pp. 101-144 ◽  
Author(s):  
Michał Antkiewicz ◽  
Thiago Tonelli Bartolomei ◽  
Krzysztof Czarnecki
Keyword(s):  
High Quality ◽  
Quality Framework ◽  
Fast Extraction

scholarly journals Rapid synthesis of MgCo2O4 and Mg2/3Ni4/3O2 nanocrystals in supercritical fluid for Mg-ion batteries

RSC Advances ◽  
2019 ◽  
Vol 9 (63) ◽  
pp. 36717-36725 ◽  
Author(s):  
Quang Duc Truong ◽  
Hiroaki Kobayashi ◽  
Itaru Honma
Keyword(s):  
Energy Density ◽  
Supercritical Fluid ◽  
High Energy ◽  
High Energy Density ◽  
Magnesium Ions ◽  
High Quality ◽  
Rapid Synthesis ◽  
Fast Extraction

High-quality spinel MgCo2O4 and rocksalt Mg2/3Ni4/3O2 nanocrystal cathodes allow fast extraction/insertion of magnesium ions for high energy-density batteries.

Control Systems

2014 ◽  
pp. 96-107
Author(s):  
Roger La Brooy
Keyword(s):  
Information Technology ◽  
Control Systems ◽  
Systems Approach ◽  
Time Frame ◽  
First Year ◽  
High Quality ◽  
Knowledge Application ◽  
Materials Engineering ◽  
Engineering Degree ◽  
Quality Framework

The field of engineering is undergoing rapid advances in knowledge application. Present drivers for the advances in engineering are clearly electronics, materials engineering, and information technology. As innovation applications abound, employers expect educators to produce students having the latest knowledge of advances in their native discipline. This aim needs to be achieved in the same four-year time-frame and yet the degree needs to contain increasing research-orientated content to comply with Australian Quality Framework requirements. How these ends can be achieved within the context of a high-quality engineering degree becomes a challenging task. The author suggests that a solution can arise by utilising a systems approach from the very first year of an engineering degree across several electro-mechanical disciplines.

scholarly journals Evaluation of a Higher Education institute’s Quality Framework performance during COVID-19

2021 ◽  
Author(s):  
Paul O'Leary ◽  
Derek O'Byrne
Keyword(s):  
Higher Education ◽  
Quality Education ◽  
Education Quality ◽  
Student Body ◽  
High Quality ◽  
The Public ◽  
Education Experience ◽  
Higher Education Quality ◽  
Quality Framework ◽  
Academic Year

COVID-19 provided a challenge to the continuing high quality operation of higher education. Quality frameworks, which were created long before national lockdowns or social distancing were tested in a manner that had not been foreseen on their creation. This work examines the performance of the framework in our institute to see if it was sufficiently robust to offer our students a quality education experience and to reassure the public in terms of the standard of our graduates. Engagement with the student body is described in detail from decision-making to evaluation at the end of the academic year of their experience on their programme of study.

scholarly journals DISCOVERING STAFFING ISSUES AND EXPERIMENTING WITH STAFFING LEVELS IN DUTCH NURSING HOMES

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S890-S891
Author(s):  
Marleen Prins ◽  
Janne van Erp ◽  
Ceciel Heijkants ◽  
Erica de vries ◽  
Ramona Backhaus ◽  
...  
Keyword(s):  
Nursing Home ◽  
Nursing Homes ◽  
Home Care ◽  
Nursing Home Care ◽  
Care Staff ◽  
High Quality ◽  
Skill Mix ◽  
Staffing Levels ◽  
Study Results ◽  
Quality Framework

Abstract Background: In 2017, the Dutch National Health Care Institute developed a quality framework describing what high quality nursing home care entails, aimed to improve nursing home care. The current study focuses on evaluating whether Dutch nursing homes comply to the framework, specifically regarding norms about staffing and formation of care teams (skill mix and educational level). Care teams that were experimenting with new staffing levels were monitored to evaluate what changes in staffing occurred and which obstructing or promoting factors they experienced. Methods: Quantitative data about staffing and team characteristics were gathered. Further, qualitative data about motives for wanting to change, the change approach, obstructing and promoting factors and evaluation of changes was collected. Telephone interviews were held at baseline, after 3 months and after 6 months. Thirty-two teams participated in the study. Results: Challenges for making changes in staffing consisted of attracting new care staff, dealing with sickness leave, communication within and between teams, communication with informal carers and combining care for and having attention for well-being of residents in the daily work routine. Additionally, teams wanted to better adjust the skill mix of staff to the needs of residents. Conclusion: For the formation of care teams, there seems to be no ‘one-size fits all’ approach. A quantitative norm that applies to all nursing homes in the Netherlands as described in the quality framework (e.g. a minimum of two care professionals for eight residents during intensive moments of care) is therefore not always the route to high quality care.

scholarly journals A patient-centred model to quality assure outputs from an echocardiography department: consensus guidance from the British Society of Echocardiography

2018 ◽  
pp. G25-G33 ◽  
Author(s):  
Thomas E Ingram ◽  
Steph Baker ◽  
Jane Allen ◽  
Sarah Ritzmann ◽  
Nina Bual ◽  
...  
Keyword(s):  
Clinical Audit ◽  
Quality Standards ◽  
Individual Variability ◽  
British Society ◽  
Service Users ◽  
High Quality ◽  
Report Generation ◽  
Quality Framework ◽  
Consensus Guidance ◽  
Quantifiable Level

BackgroundQuality assurance (QA) of echocardiographic studies is vital to ensure that clinicians can act on findings of high quality to deliver excellent patient care. To date, there is a paucity of published guidance on how to perform this QA. The British Society of Echocardiography (BSE) has previously produced an Echocardiography Quality Framework (EQF) to assist departments with their QA processes. This article expands on the EQF with a structured yet versatile approach on how to analyse echocardiographic departments to ensure high-quality standards are met. In addition, a process is detailed for departments that are seeking to demonstrate to external bodies adherence to a robust QA process.MethodsThe EQF consists of four domains. These include assessment of Echo Quality (including study acquisition and report generation); Reproducibility & Consistency (including analysis of individual variability when compared to the group and focused clinical audit), Education & Training (for all providers and service users) and Customer & Staff Satisfaction (of both service users and patients/their carers). Examples of what could be done in each of these areas are presented. Furthermore, evidence of participation in each domain is categorised against a red, amber or green rating: with an amber or green rating signifying that a quantifiable level of engagement in that aspect of QA has been achieved.ConclusionThe proposed EQF is a powerful tool that focuses the limited time available for departmental QA on areas of practice where a change in patient experience or outcome is most likely to occur.

A quality framework for statistical algorithms

2021 ◽  
pp. 1-18
Author(s):  
Wesley Yung ◽  
Siu-Ming Tam ◽  
Bart Buelens ◽  
Hugh Chipman ◽  
Florian Dumpert ◽  
...  
Keyword(s):  
Machine Learning ◽  
Official Statistics ◽  
High Quality ◽  
Machine Learning Methods ◽  
High Level Group ◽  
Black Boxes ◽  
Quality Framework ◽  
Statistical Algorithms ◽  
High Level ◽  
Level Group

As national statistical offices (NSOs) modernize, interest in integrating machine learning (ML) into official statisticians’ toolbox is growing. Two challenges to such an integration are the potential loss of transparency from using “black-boxes” and the need to develop a quality framework. In 2019, the High-Level Group for the Modernisation of Official Statistics (HLG-MOS) launched a project on machine learning with one of the objectives being to address these two challenges. One of the outputs of the HLG-MOS project is a Quality Framework for Statistical Algorithms (QF4SA). While many quality frameworks exist, they have been conceived with traditional methods in mind, and they tend to target statistical outputs. Currently, machine learning methods are being looked at for use in processes producing intermediate outputs, which lead to a final statistical output. Therefore, the QF4SA does not replace existing quality frameworks; it complements them. As the QF4SA targets intermediate outputs and not necessarily the final statistical output, it should be used in conjunction with existing quality frameworks to ensure that high-quality outputs are produced. This paper presents the QF4SA, as well as some recommendations for NSOs considering the use of machine learning in the production of official statistics.

Fast Extraction of High-quality Crease Surfaces for Visual Analysis

2011 ◽  
Vol 30 (3) ◽  
pp. 961-970 ◽  
Author(s):  
S. Barakat ◽  
N. Andrysco ◽  
X. Tricoche
Keyword(s):  
Visual Analysis ◽  
High Quality ◽  
Fast Extraction

Some problems of objective-prism spectra classification

1966 ◽  
Vol 24 ◽  
pp. 51-52
Author(s):  
E. K. Kharadze ◽  
R. A. Bartaya
Keyword(s):  
Short Wave ◽  
High Quality ◽  
Stellar Spectra ◽  
Objective Prism

The unique 70-cm meniscus-type telescope of the Abastumani Astrophysical Observatory supplied with two objective prisms and the seeing conditions characteristic at Mount Kanobili (Abastumani) permit us to obtain stellar spectra of a high quality. No additional design to improve the “climate” immediately around the telescope itself is being applied. The dispersions and photographic magnitude limits are 160 and 660Å/mm, and 12–13, respectively. The short-wave end of spectra reaches 3500–3400Å.

A non-cyanide method of electropolishing silver

1978 ◽  
Vol 36 (1) ◽  
pp. 146-147
Author(s):  
R. L. Lyles ◽  
S. J. Rothman ◽  
W. Jäger
Keyword(s):  
Electron Microscopy ◽  
Sulphuric Acid ◽  
Methyl Alcohol ◽  
Health Hazards ◽  
Silver Alloy ◽  
High Quality ◽  
Silver Alloys ◽  
Free Sample ◽  
Specimen Quality ◽  
Standard Techniques

Standard techniques of electropolishing silver and silver alloys for electron microscopy in most instances have relied on various CN recipes. These methods have been characteristically unsatisfactory due to difficulties in obtaining large electron transparent areas, reproducible results, adequate solution lifetimes, and contamination free sample surfaces. In addition, there are the inherent health hazards associated with the use of CN solutions. Various attempts to develop noncyanic methods of electropolishing specimens for electron microscopy have not been successful in that the specimen quality problems encountered with the CN solutions have also existed in the previously proposed non-cyanic methods.The technique we describe allows us to jet polish high quality silver and silver alloy microscope specimens with consistant reproducibility and without the use of CN salts.The solution is similar to that suggested by Myschoyaev et al. It consists, in order of mixing, 115ml glacial actic acid (CH3CO2H, specific wt 1.04 g/ml), 43ml sulphuric acid (H2SO4, specific wt. g/ml), 350 ml anhydrous methyl alcohol, and 77 g thiourea (NH2CSNH2).

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