Potential of existing online 24-hour dietary recall tools for national dietary surveys

2021 ◽  
pp. 1-62
Author(s):  
Rozenn Gazan ◽  
Florent Vieux ◽  
Ségolène Mora ◽  
Sabrina Havard ◽  
Carine Dubuisson
Keyword(s):  
Grey Literature ◽  
Quality Data ◽  
High Quality Data ◽  
Require Time ◽  
Dietary Recall ◽  
Dietary Surveys ◽  
Almost All ◽  
The Cost ◽  
Web Platform ◽  
Country Specific

Abstract Objective: To describe existing online 24-hour dietary recall (24hDR) tools in terms of functionalities and ability to tackle challenges encountered during national dietary surveys, such as maximizing response rates and collecting high-quality data from a representative sample of the population, while minimizing the cost and response burden. Design: A search (from 2000 to 2019) was conducted in peer-reviewed and grey literature. For each tool, information on functionalities, validation and user usability studies, and potential adaptability for integration into a new context was collected. Setting: Not country-specific Participants: General population Results: Eighteen online 24hDR tools were identified. Most were developed in Europe, for children ≥10 years old and/or for adults. Eight followed the five multiple-pass steps, but used various methodologies and features. Almost all tools (except three) validated their nutrient intake estimates, but with high heterogeneity in methodologies. User usability was not always assessed, and rarely by applying real-time methods. For researchers, eight tools developed a web platform to manage the survey and five appeared to be easily adaptable to a new context. Conclusions: Among the eighteen online 24hDR tools identified, the best candidates to be used in national dietary surveys should be those that were validated for their intake estimates, had confirmed user and researcher usability, and seemed sufficiently flexible to be adapted to new contexts. Regardless of the tool, adaptation to another context will still require time and funding, and this is probably the most challenging step.

scholarly journals Spatial structure of grassland patches in Poland: implications for nature conservation

2019 ◽  
Vol 88 (1) ◽  
Author(s):  
Tomasz Henryk Szymura ◽  
Magdalena Szymura
Keyword(s):  
Protected Areas ◽  
Quality Data ◽  
High Quality Data ◽  
Ecological Corridors ◽  
Average Value ◽  
Irregular Shapes ◽  
Wide Range ◽  
Seminatural Grasslands ◽  
Almost All ◽  
Grassland Biodiversity

Grasslands provide wide range of ecosystem services, however, their area and quality are still diminishing in Europe. Nowadays, they often create isolated patches inside “sea” of other habitats. We have examined basic structural landscape metrics of grasslands in Poland using CORINE land use database. Characteristics for both all individual patches as well as average values for 10 × 10-km grid covering Poland were examined. We also assessed the percentage of grasslands within protected areas and ecological corridors. We found that in Poland rather small patches (0.3–1 km<sup>2</sup>) dominate, usually located 200–500 m away from each other. The grasslands had clumped distribution, thus in Poland exist large areas where grasslands patches are separated kilometers from each other. Almost all indices calculated for 10 × 10-km<sup>2</sup> were correlated, i.e., in regions with high percentage of grasslands, the patches were large, more numerous, placed close to each other, and had more irregular shapes. Our results revealed that the percentage of grasslands within protected areas and ecological corridors did not differ from the average value for Poland. On the other hand, forests were significantly over-represented in protected areas and ecological corridors. These findings suggest that there is no planned scheme for grassland protection at the landscape scale in Poland. Development the scheme is urgent and needs high-quality data regarding distribution of seminatural grasslands patches. In practice, nature conservationists and managers should consider spatial processes in their plans in order to maintain grassland biodiversity.

scholarly journals Modeling Photovoltaic Power

2016 ◽  
Vol 6 (5) ◽  
pp. 1115-1118
Author(s):  
F. Mavromatakis ◽  
Y. Franghiadakis ◽  
F. Vignola
Keyword(s):  
Solar Irradiance ◽  
Energy Production ◽  
Photovoltaic System ◽  
Quality Data ◽  
Angle Of Incidence ◽  
High Quality Data ◽  
Photovoltaic Modules ◽  
Reliable Model ◽  
Almost All ◽  
Future Work

A robust and reliable model describing the power produced by a photovoltaic system is needed in order to be able to detect module failures, inverter malfunction, shadowing effects and other factors that may result to energy losses. In addition, a reliable model enables an investor to perform accurate estimates of the system energy production, payback times etc. The model utilizes the global irradiance reaching the plane of the photovoltaic modules since in almost all Photovoltaic (PV) facilities the beam and the diffuse solar irradiances are not recorded. The airmass, the angle of incidence and the efficiency drop due to low values of solar irradiance are taken into account. Currently, the model is validated through the use of high quality data available from the National Renewable Energy Laboratory (USA). The data were acquired with IV tracers while the meteorological conditions were also recorded. Several modules of different technologies were deployed but here we present results from a single crystalline module. The performance of the model is acceptable at a level of 5% despite the assumptions made. The dependence of the residuals upon solar irradiance temperature, airmass and angle of incidence is also explored and future work is described.

scholarly journals The International Register of Open Abdomen (IROA): An occasion to better understand the pediatric open abdomen -Preliminary results and call for pediatric intensive care participants

2017 ◽  
Author(s):  
Federico Coccolini ◽  
Torsten Kaussen ◽  
Mirco Nacoti ◽  
Giulia Montori ◽  
Marco Ceresoli ◽  
...  
Keyword(s):  
Intensive Care ◽  
Emergency Surgery ◽  
Pediatric Patients ◽  
Open Abdomen ◽  
Pediatric Intensive Care ◽  
Quality Data ◽  
High Quality ◽  
High Quality Data ◽  
The World ◽  
Web Platform

In pediatric patients open abdomen (OA) is applied with many and not standardized indications. Several studies have been published regarding the OA management in adults and fewer in pediatrics. Several issues are still unclear and need more high quality data. The World Society of Emergency Surgery (WSES) promoted the International Register of Open Abdomen (IROA) dedicated to adults and pediatric patients. The register is held on a web platform (Clinical Registers®) through a dedicated web site: www.clinicalregisters.org. (ClinicalTrials. gov Identifier: NCT02382770).

scholarly journals A Survey on Exchanging Data Using MQTT Protocol in Arduino

2021 ◽  
Vol 9 (VII) ◽  
pp. 3081-3082
Author(s):  
Arefa Shafique Shaikh
Keyword(s):  
Communication Protocol ◽  
Quality Data ◽  
The Internet ◽  
Bandwidth Efficiency ◽  
Light Weight ◽  
High Quality ◽  
High Quality Data ◽  
Message Queue ◽  
Almost All ◽  
The Internet Of Things

In the coming years, sensors will likely grow in every aspect of our lives. Several activities explain how the Internet of Things (IoT) will have an impact on almost all aspect of our lives and why security is at the top of the list of IoT challenges. Device to Device communications (D2D) in IoT are forecast and another major concern within the use of IoT is to make sure device security, D2D connectivity and high quality data. Therefore, a proper communication protocol is required to fix this issues. To address this, we purpose the use of Message Queue Telemetry Transport(MQTT)protocol to transfer data between devices, as it is more secured. MQTT (Message Queuing Telemetry Transport) is a publish/subscribe messaging protocol which works on top of the TCP/IP protocol. The key feature of MQTT is its light weight, adds flexible authentication and bandwidth efficiency. The result of this study is transferring high quality data securely using MQTT protocol.

scholarly journals Toward understanding the impact of artificial intelligence on labor

2019 ◽  
Vol 116 (14) ◽  
pp. 6531-6539 ◽  
Author(s):  
Morgan R. Frank ◽  
David Autor ◽  
James E. Bessen ◽  
Erik Brynjolfsson ◽  
Manuel Cebrian ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Technological Change ◽  
Quality Data ◽  
Urban Migration ◽  
High Quality Data ◽  
Equilibrium Behavior ◽  
Fundamental Uncertainty ◽  
Almost All ◽  
Work Done ◽  
The Impact

Rapid advances in artificial intelligence (AI) and automation technologies have the potential to significantly disrupt labor markets. While AI and automation can augment the productivity of some workers, they can replace the work done by others and will likely transform almost all occupations at least to some degree. Rising automation is happening in a period of growing economic inequality, raising fears of mass technological unemployment and a renewed call for policy efforts to address the consequences of technological change. In this paper we discuss the barriers that inhibit scientists from measuring the effects of AI and automation on the future of work. These barriers include the lack of high-quality data about the nature of work (e.g., the dynamic requirements of occupations), lack of empirically informed models of key microlevel processes (e.g., skill substitution and human–machine complementarity), and insufficient understanding of how cognitive technologies interact with broader economic dynamics and institutional mechanisms (e.g., urban migration and international trade policy). Overcoming these barriers requires improvements in the longitudinal and spatial resolution of data, as well as refinements to data on workplace skills. These improvements will enable multidisciplinary research to quantitatively monitor and predict the complex evolution of work in tandem with technological progress. Finally, given the fundamental uncertainty in predicting technological change, we recommend developing a decision framework that focuses on resilience to unexpected scenarios in addition to general equilibrium behavior.

What Can Digitization Do For Formulated Product Innovation and Development

2020 ◽  
Author(s):  
James McDonagh ◽  
William Swope ◽  
Richard L. Anderson ◽  
Michael Johnston ◽  
David J. Bray
Keyword(s):  
High Performance ◽  
Quality Data ◽  
High Quality Data ◽  
Base Level ◽  
Hybrid Approaches ◽  
Digital Ecosystem ◽  
Recent Developments ◽  
Chemical Simulation ◽  
High Level ◽  
Physical And Chemical

Digitization offers significant opportunities for the formulated product industry to transform the way it works and develop new methods of business. R&D is one area of operation that is challenging to take advantage of these technologies due to its high level of domain specialisation and creativity but the benefits could be significant. Recent developments of base level technologies such as artificial intelligence (AI)/machine learning (ML), robotics and high performance computing (HPC), to name a few, present disruptive and transformative technologies which could offer new insights, discovery methods and enhanced chemical control when combined in a digital ecosystem of connectivity, distributive services and decentralisation. At the fundamental level, research in these technologies has shown that new physical and chemical insights can be gained, which in turn can augment experimental R&D approaches through physics-based chemical simulation, data driven models and hybrid approaches. In all of these cases, high quality data is required to build and validate models in addition to the skills and expertise to exploit such methods. In this article we give an overview of some of the digital technology demonstrators we have developed for formulated product R&D. We discuss the challenges in building and deploying these demonstrators.<br>

Collecting High-Quality Data

2018 ◽  
Author(s):  
Mary Kay Gugerty ◽  
Dean Karlan
Keyword(s):  
Data Collection ◽  
Social Desirability ◽  
Measurement Errors ◽  
Monitoring And Evaluation ◽  
Quality Data ◽  
Social Desirability Bias ◽  
High Quality ◽  
High Quality Data ◽  
Evaluation Systems ◽  
Demand Effect

Without high-quality data, even the best-designed monitoring and evaluation systems will collapse. Chapter 7 introduces some the basics of collecting high-quality data and discusses how to address challenges that frequently arise. High-quality data must be clearly defined and have an indicator that validly and reliably measures the intended concept. The chapter then explains how to avoid common biases and measurement errors like anchoring, social desirability bias, the experimenter demand effect, unclear wording, long recall periods, and translation context. It then guides organizations on how to find indicators, test data collection instruments, manage surveys, and train staff appropriately for data collection and entry.

scholarly journals An explanatory study of the use of e-mail investor communication by South African listed companies

2016 ◽  
Vol 18 (1) ◽  
Author(s):  
Roelof Baard ◽  
George Nel
Keyword(s):  
Listed Companies ◽  
Future Research ◽  
Contact Method ◽  
Interactive Communication ◽  
Handling Performance ◽  
Corporate Websites ◽  
Use Of Social Media ◽  
Almost All ◽  
The Cost ◽  
E Mail

Background: Although research shows that almost all listed companies have corporate websites with dedicated investor relations (IR) sections that enable companies to ‘push’ information to investors, it was argued that such an asymmetrical approach to communication is insufficient for companies wishing to exercise good IR. The purpose of this study was to test the effectiveness of the Internet to act as a mechanism to achieve more interactive communication between companies and investors.Objectives: The objectives of the study were to measure the responsiveness, timeliness and relevance of companies’ responses to e-mail requests, and to test for the determinants (size, market-to-book ratio, profitability, leverage and liquidity) thereof.Method: The mystery investor approach and a content analysis were used to study the e-mail handling performance of companies. The associations between company-specific characteristics were statistically tested.Results: It was found that the e-mail handling performance of companies in this study was poor compared with previous studies. Significant relationships between company size and responsiveness and relevance, and between market-to-book ratio and relevance were reported, as well as between the contact method used to request information and relevance and the use of social media and timeliness.Conclusion: Specific areas where companies could improve their investor communications were identified. The need for further research was discussed to explain some of the relationships found, as well as those not found, in contrast to what was expected. Future research is warranted to examine the relationship between the e-mail handling performance of companies and information asymmetry and the cost of equity of companies.

The cost implication of primary prevention in the HOPE 3 trial

2019 ◽  
Vol 5 (3) ◽  
pp. 266-271
Author(s):  
Andre Lamy ◽  
Eva Lonn ◽  
Wesley Tong ◽  
Balakumar Swaminathan ◽  
Hyejung Jung ◽  
...  
Keyword(s):  
Developing Countries ◽  
Primary Prevention ◽  
Cost Saving ◽  
Developed Countries ◽  
Sensitivity Analyses ◽  
Clinical Trial Registration ◽  
Pressure Lowering ◽  
The Cost ◽  
Care Costs ◽  
Country Specific

Abstract Aims The Heart Outcomes Prevention Evaluation-3 (HOPE-3) found that rosuvastatin alone or with candesartan and hydrochlorothiazide (HCT) (in a subgroup with hypertension) significantly lowered cardiovascular events compared with placebo in 12 705 individuals from 21 countries at intermediate risk and without cardiovascular disease. We assessed the costs implications of implementation in primary prevention in countries at different economic levels. Methods and results Hospitalizations, procedures, study and non-study medications were documented. We applied country-specific costs to the healthcare resources consumed for each patient. We calculated the average cost per patient in US dollars for the duration of the study (5.6 years). Sensitivity analyses were also performed with cheapest equivalent substitutes. The combination of rosuvastatin with candesartan/HCT reduced total costs and was a cost-saving strategy in United States, Canada, Europe, and Australia. In contrast, the treatments were more expensive in developing countries even when cheapest equivalent substitutes were used. After adjustment for gross domestic product (GDP), the costs of cheapest equivalent substitutes in proportion to the health care costs were higher in developing countries in comparison to developed countries. Conclusion Rosuvastatin and candesartan/HCT in primary prevention is a cost-saving approach in developed countries, but not in developing countries as both drugs and their cheapest equivalent substitutes are relatively more expensive despite adjustment by GDP. Reductions in costs of these drugs in developing countries are essential to make statins and blood pressure lowering drugs affordable and ensure their use. Clinical trial registration HOPE-3 ClinicalTrials.gov number, NCT00468923.

scholarly journals The socioeconomic burden of antibiotic resistance in conflict-affected settings and refugee hosting countries: a systematic scoping review

2021 ◽  
Vol 15 (1) ◽  
Author(s):  
Elsa Kobeissi ◽  
Marilyne Menassa ◽  
Krystel Moussally ◽  
Ernestina Repetto ◽  
Ismail Soboh ◽  
...  
Keyword(s):  
Antibiotic Resistance ◽  
Scoping Review ◽  
Statistical Power ◽  
Data Extraction ◽  
Quality Data ◽  
Sufficient Information ◽  
Socioeconomic Burden ◽  
General Populations ◽  
Global Threat ◽  
The Cost

Abstract Background Antibiotic resistance (ABR) is a major global threat. Armed and protracted conflicts act as multipliers of infection and ABR, thus leading to increased healthcare and societal costs. We aimed to understand and describe the socioeconomic burden of ABR in conflict-affected settings and refugee hosting countries by conducting a systematic scoping review. Methods A systematic search of PubMed, Medline (Ovid), Embase, Web of Science, SCOPUS and Open Grey databases was conducted to identify all relevant human studies published between January 1990 and August 2019. An updated search was also conducted in April 2020 using Medline/Ovid. Independent screenings of titles/abstracts followed by full texts were performed using pre-defined criteria. The Newcastle-Ottawa Scale was used to assess study quality. Data extraction and analysis were based on the PICOS framework and following the PRISMA-ScR guideline. Results The search yielded 8 studies (7 publications), most of which were single-country, mono-center and retrospective studies. The studies were conducted in Lebanon (n = 3), Iraq (n = 2), Jordan (n = 1), Palestine (n = 1) and Yemen (n = 1). Most of the studies did not have a primary aim to assess the socioeconomic impact of ABR and were small studies with limited statistical power that could not demonstrate significant associations. The included studies lacked sufficient information for the accurate evaluation of the cost incurred by antibiotic resistant infections in conflict-affected countries. Conclusion This review highlights the scarcity of research on the socioeconomic burden of ABR on general populations in conflict-affected settings and on refugees and migrants in host countries, and lists recommendations for consideration in future studies. Further studies are needed to understand the cost of ABR in these settings to develop and implement adaptable policies.

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