scholarly journals A Dataset Quality Assessment—An Insight and Discussion on Selected Elements of Environmental Footprints Methodology

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 5004
Author(s):  
Anna Lewandowska ◽  
Katarzyna Joachimiak-Lechman ◽  
Przemysław Kurczewski
Keyword(s):  
Quality Assessment ◽  
European Commission ◽  
Expert Knowledge ◽  
Raw Milk ◽  
Special Procedure ◽  
Environmental Footprints ◽  
Potential Benefits ◽  
Quality Rating ◽  
Entire Dataset

One of the most recently developed life cycle-based methods is an environmental footprint of products and organisations established by the European Commission. A special procedure of data and dataset quality assessment has been developed as a part of the environmental footprints methodology. The procedure may be recognised as vital and powerful but, at the same time, a bit complicated and time-consuming. It is worth discussing this subject and looking for potential simplification. In this paper, we suggest a possible way for simplification. We propose to remove an impact-assessment-based step from the procedure of company-specific datasets quality assessment. There are two potential benefits: a reduction in the need for expert knowledge and time savings. The threats posed are connected to the fact that all data influences the Data Quality Rating indicator of the entire dataset to the same degree. With a higher volume of data included in the assessment, there is a risk of greater differentiation in their quality. In this paper, an example of raw milk production is presented. The assessment of quality of the dataset was performed in three variants: pursuant to the approach established by the European Commission in the pilot phase, transition phase and with certain modifications employed.

scholarly journals Quality assessment of instructions for authors in dental, oral and maxillofacial journals

NEMESIS ◽  
2019 ◽  
Vol 5 (1) ◽  
pp. 18
Author(s):  
Aleksandra Hebda ◽  
Guillaume A Odri ◽  
Raphael Olszewski
Keyword(s):  
Impact Factor ◽  
Quality Assessment ◽  
Journal Impact Factor ◽  
Assessment Tool ◽  
Maxillofacial Surgery ◽  
Interobserver Reproducibility ◽  
Quality Rating ◽  
Journal Impact ◽  
Surgery Journals

Objective: to develop and test inter-observer reproducibility of instructions for authors quality rating (IAQR) tool measuring the quality of instructions for authors at journal level for a possible improvement of editorial guidelines.Material and methods: instructions for authors of 75 dental and maxillofacial surgery journals were assessed by two independent observers using assessment tool inspired from AGREE with 16 questions and 1 to 4 points scale per answer. Two observers evaluated the instructions of authors independently and blind to impact factor of a given journal. Scores obtained from our tool were compared with “journal impact factor 2013”. Results: IAQR presented with an excellent interobserver reproducibility (κ= 0.81) despite a difference in data distribution between observers. There existed a weak positive correlation between IAQR and “journal impact factor 2013”. Conclusions: The IAQR is a reproducible quality assessment tool at the journal level. The IAQR assess the quality of instruction for authors and it is a goodstarting point for possible improvements of the instructions for authors, especially when it comes to their completeness. Nemesis relevance: 28% of dental and maxillofacial journals might revise their instructions for authors to provide more up-to-date version.

Expert System for Quality Assessment of Electronic Book Exhibitions

2013 ◽  
pp. 32-39
Author(s):  
Svetlana V. Savkina
Keyword(s):  
Expert System ◽  
Quality Assessment ◽  
Electronic Book ◽  
Electronic Books ◽  
Comparison Of The Results

The article presents the results of testing the complex methodology of assessment of quality of electronic books exhibitions (EBE). The author describes the project of the expert system, allowing to implement the EBE assessment without the experts’ participation. There is given the comparison of the results of assessments, carried out by experts and by the expert system.

Quality of cytogenetic investigations: problems and ways for improvement

2020 ◽  
pp. 22-24
Author(s):  
В.Г. Антоненко ◽  
Н.В. Шилова ◽  
Е.Н. Лукаш ◽  
Э.Р. Бабкеева ◽  
В.Н. Малахов
Keyword(s):  
Quality Assessment ◽  
Russian Federation ◽  
Chromosomal Analysis ◽  
Common Causes

Представлены результаты экспертной оценки качества цитогенетических исследований в лабораториях РФ в системе межлабораторных сличительных испытаний «ФСВОК» в 2018-2019 гг. Обсуждаются наиболее частые причины неудовлетворительных результатов экспертизы и возможные пути улучшения качества цитогенетических исследований. We report the results of quality assessment for preparation of cytogenetic slides and chromosomal analysis in the laboratories of Russian Federation in the system of the interlaboratory comparative examinations “FSVOK” in 2018-2019. Common causes of poor results of assessment and the ways for improvement of quality for cytogenetic investigations are discussed.

ABOUT NECESSITY OF MATHEMATICAL MODELING OF THE BUSINESS PROCESS OF COST ESTIMATE CALCULATIONS IN THE CONSTRUCTION OF OIL AND GAS FACILITIES

2017 ◽  
pp. 139-145
Author(s):  
R. I. Hamidullin ◽  
L. B. Senkevich
Keyword(s):  
Mathematical Modeling ◽  
Quality Assessment ◽  
Business Process ◽  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Gas Industry ◽  
Construction Organizations ◽  
The Cost ◽  
Cost Of Construction

A study of the quality of the development of estimate documentation on the cost of construction at all stages of the implementation of large projects in the oil and gas industry is conducted. The main problems that arise in construction organizations are indicated. The analysis of the choice of the perfect methodology of mathematical modeling of the investigated business process for improving the activity of budget calculations, conducting quality assessment of estimates and criteria for automation of design estimates is performed.

Impact of Raw Materials and Processing Techniques on The Microbiological Quality of Egyptian Domiati Cheese

2020 ◽  
Keyword(s):  
Raw Materials ◽  
Microbiological Quality ◽  
Raw Milk ◽  
Plate Count ◽  
E Coli ◽  
Fresh Cheese ◽  
Processing Techniques ◽  
The Impact ◽  
Total Yeast

Domiati cheese is the most popular brand of cheese ripened in brine in the Middle East in terms of consumed quantities. This study was performed to investigate the impact of the microbiological quality of the used raw materials, the applied traditional processing techniques and ripening period on the quality and safety of the produced cheese. Three hundred random composite samples were collected from three factories at Fayoum Governorate, Egypt. Collected samples represent twenty-five each of: raw milk, table salt, calf rennet, microbial rennet, water, environmental air, whey, fresh cheese, ripened cheese & swabs from: worker hands; cheese molds and utensils; tanks. All samples were examined microbiologically for Standard Plate Count (SPC), coliforms count, Staphylococcus aureus (S. aureus) count, total yeast & mould count, presence of E. coli, Salmonellae and Listeria monocytogenes (L. monocytogenes). The mean value of SPC, coliforms, S. aureus and total yeast & mould counts ranged from (79×102 CFU/m3 for air to 13×108 CFU/g for fresh cheese), (7×102 MPN/ cm2 for tank swabs to 80×106 MPN/ml for raw milk), (9×102 CFU/g for salt to 69×106 CFU/g for fresh cheese) and (2×102 CFU/cm2 for hand swabs to 60×104 CFU/g for fresh cheese), respectively. Whereas, E. coli, Salmonella and L. monocytogenes failed to be detected in all examined samples. There were significant differences in all determined microbiological parameters (p ≤0.05) between fresh and ripened cheese which may be attributed to different adverse conditions such as water activity, pH, salt content and temperature carried out to improve the quality of the product.

Assessing Medical Evidence

2018 ◽  
Author(s):  
Jacob Stegenga
Keyword(s):  
Quality Assessment ◽  
Randomized Trials ◽  
Empirical Studies ◽  
Allocation Concealment ◽  
Assessment Tools ◽  
Medical Evidence ◽  
Empirical Methods ◽  
First Order ◽  
First Order Methods

Medical scientists employ ‘quality assessment tools’ to assess evidence from medical research, especially from randomized trials. These tools are designed to take into account methodological details of studies, including randomization, subject allocation concealment, and other features of studies deemed relevant to minimizing bias. There are dozens of such tools available. They differ widely from each other, and empirical studies show that they have low inter-rater reliability and low inter-tool reliability. This is an instance of a more general problem called here the underdetermination of evidential significance. Disagreements about the quality of evidence can be due to different—but in principle equally good—weightings of the methodological features that constitute quality assessment tools. Thus, the malleability of empirical research in medicine is deep: in addition to the malleability of first-order empirical methods, such as randomized trials, there is malleability in the tools used to evaluate first-order methods.

scholarly journals Using the Google™ Search Engine for Health Information: Is There a Problem? Case Study: Supplements for Cancer

2021 ◽  
Vol 5 (2) ◽  
Author(s):  
Hannah C Cai ◽  
Leanne E King ◽  
Johanna T Dwyer
Keyword(s):  
Health Information ◽  
Search Engine ◽  
Information Quality ◽  
Nutrition Information ◽  
High Quality ◽  
Search Results ◽  
Health And Nutrition ◽  
Quality Rating

ABSTRACT We assessed the quality of online health and nutrition information using a Google™ search on “supplements for cancer”. Search results were scored using the Health Information Quality Index (HIQI), a quality-rating tool consisting of 12 objective criteria related to website domain, lack of commercial aspects, and authoritative nature of the health and nutrition information provided. Possible scores ranged from 0 (lowest) to 12 (“perfect” or highest quality). After eliminating irrelevant results, the remaining 160 search results had median and mean scores of 8. One-quarter of the results were of high quality (score of 10–12). There was no correlation between high-quality scores and early appearance in the sequence of search results, where results are presumably more visible. Also, 496 advertisements, over twice the number of search results, appeared. We conclude that the Google™ search engine may have shortcomings when used to obtain information on dietary supplements and cancer.

scholarly journals Quantity and quality of childcare and children’s educational outcomes

2021 ◽  
Author(s):  
Jo Blanden ◽  
Emilia Del Bono ◽  
Kirstine Hansen ◽  
Birgitta Rabe
Keyword(s):  
School Achievement ◽  
Additional Term ◽  
Publicly Funded ◽  
Highly Qualified ◽  
Policy Makers ◽  
Quality Rating ◽  
Quality Of Childcare ◽  
The Impact ◽  
School Records

AbstractPolicy-makers wanting to support child development can choose to adjust the quantity or quality of publicly funded universal pre-school. To assess the impact of such changes, we estimate the effects of an increase in free pre-school education in England of about 3.5 months at age 3 on children’s school achievement at age 5. We exploit date-of-birth discontinuities that create variation in the length and starting age of free pre-school using administrative school records linked to nursery characteristics. Estimated effects are small overall, but the impact of the additional term is substantially larger in settings with the highest inspection quality rating but not in settings with highly qualified staff. Estimated effects fade out by age 7.

scholarly journals Quality Assessment of 3D Synthesized Images Based on Textural and Structural Distortion Estimation

2021 ◽  
Vol 11 (6) ◽  
pp. 2666
Author(s):  
Hafiz Muhammad Usama Hassan Alvi ◽  
Muhammad Shahid Farid ◽  
Muhammad Hassan Khan ◽  
Marcin Grzegorzek
Keyword(s):  
Quality Assessment ◽  
Mixed Reality ◽  
Depth Estimation ◽  
Poor Quality ◽  
Depth Image ◽  
Depth Maps ◽  
Structural Distortions ◽  
Image Quality Metric ◽  
Technological Constraints

Emerging 3D-related technologies such as augmented reality, virtual reality, mixed reality, and stereoscopy have gained remarkable growth due to their numerous applications in the entertainment, gaming, and electromedical industries. In particular, the 3D television (3DTV) and free-viewpoint television (FTV) enhance viewers’ television experience by providing immersion. They need an infinite number of views to provide a full parallax to the viewer, which is not practical due to various financial and technological constraints. Therefore, novel 3D views are generated from a set of available views and their depth maps using depth-image-based rendering (DIBR) techniques. The quality of a DIBR-synthesized image may be compromised for several reasons, e.g., inaccurate depth estimation. Since depth is important in this application, inaccuracies in depth maps lead to different textural and structural distortions that degrade the quality of the generated image and result in a poor quality of experience (QoE). Therefore, quality assessment DIBR-generated images are essential to guarantee an appreciative QoE. This paper aims at estimating the quality of DIBR-synthesized images and proposes a novel 3D objective image quality metric. The proposed algorithm aims to measure both textural and structural distortions in the DIBR image by exploiting the contrast sensitivity and the Hausdorff distance, respectively. The two measures are combined to estimate an overall quality score. The experimental evaluations performed on the benchmark MCL-3D dataset show that the proposed metric is reliable and accurate, and performs better than existing 2D and 3D quality assessment metrics.

Economic returns of family planning and fertility decline in India, 1991–2061

2021 ◽  
pp. 1-33
Author(s):  
Srinivas Goli ◽  
K. S. James ◽  
Devender Singh ◽  
Venkatesh Srinivasan ◽  
Rakesh Mishra ◽  
...  
Keyword(s):  
Family Planning ◽  
Return On Investment ◽  
Unmet Need ◽  
Economic Returns ◽  
Reproductive Health Care ◽  
The World ◽  
Potential Benefits ◽  
Education And Employment ◽  
Global Evidence

Abstract Investment in family planning (FP) provides returns through a lifetime. Global evidence shows that FP is the second-best buy in terms of return on investment after liberalizing trade. In this study, we estimate the cumulative benefits of FP investments for India from 1991 to 2016 and project them up to 2061 with four scenarios of fertility levels. The findings suggest that India will have greater elasticity of FP investments to lifetime economic returns compared to the world average (cost–revenue ratio of 1:120). We have taken four scenarios for the goalpost, viz., 2.1, 1.8, 1.6, and 1.4. Although different scenarios of total fertility rate (TFR) levels at the goalpost (i.e., the year 2061) offer varied lifetime returns from FP, scenario TFR < 1.8 will be counterproductive and will reduce the potential benefits. With a comprehensive approach, if the country focuses more on improving the quality of FP services and on reducing the unmet need for FP to enhance reproductive health care and expand maximum opportunities for education and employment for both women and men, it can improve its potential to reap more benefits.

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