Necessity for the Improvement of the Regulation of Standard Terms in Latvia (Tipveida llgumuregull juma pilnveidooa nas ne piecie ammba Latvijj)

2014 ◽  
Author(s):  
Vadim Mantrov
Keyword(s):  
Standard Terms

Social media bots as active disseminators of COVID-19 news (Preprint)

2020 ◽  
Author(s):  
Ahmed Al-Rawi ◽  
Vishal Shukla
Keyword(s):  
Social Media ◽  
Financial Incentives ◽  
Total Sample ◽  
Breaking News ◽  
Mainstream Media ◽  
Social Nature ◽  
Credible Information ◽  
Mixed Approach ◽  
Standard Terms ◽  
Official Sources

BACKGROUND In this study, we examined the activities of automated social media accounts or bots that tweet or retweet referencing #COVID-19 and #COVID19. OBJECTIVE The purpose of this study is to identify bot accounts to understand the nature of messages sent by them on COVID-19. Social media bots have been widely discussed in academic literature as some kind of moral panic mostly in relation to spreading controversial and politically polarized messages or in connection to problematic health bots (Broniatowski et al., 2018; Allem & Ferrara, 2018). The findings of this study, however, show that bots that reference COVID-19 mostly mention mainstream media and credible health sources while spreading breaking news on the pandemic or urging people to stay at home. These results align with previous research on the possible benefits, advantages, or possibilities afforded by the use of health chatbots (Brandtzaeg & Følstad, 2018; Skjuve & Brandtzæg, 2018; Kretzschmar et al., 2019; Greer et al., 2019). METHODS We used a mixed approach mostly comprised of several digital methods in this study. First, we collected 50,811,299 tweets and retweets referencing #COVID-19 and #COVID19 for a period of over two months from February 12 until April 18, 2020. We focused on these two hashtags because they are standard terms used by WHO and other official sources. From a total sample of over 50 million tweets, we used a mixed method to extract more than 185,000 messages posted by 127 bots. RESULTS Unlike the literature on health bots that associate them with anti-social activities, our findings show that the majority of these bots tweet, retweet and mention mainstream media outlets and credible official sources, promote health protection and telemedicine, and disseminate breaking news on the number of casualties and deaths caused by COVID-19. CONCLUSIONS Despite that some literature on social media bots highlight the controversial and anti-social nature of automated accounts, the findings of this study show that the majority of bots spread news on and awareness of COVID-19 risks while citing and referencing mainstream media outlets and credible health sources. We argue that there might be financial incentives behind designing some of these bots. However and if monitored and updated with credible information by health agencies themselves, we believe that bots can be useful during health crises due to their efficiency and speed in spreading valuable information, some of which is crucial for public health. CLINICALTRIAL N/A

scholarly journals A guideline for 3D printing terminology in biomedical research utilizing ISO/ASTM standards

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Amy E. Alexander ◽  
Nicole Wake ◽  
Leonid Chepelev ◽  
Philipp Brantner ◽  
Justin Ryan ◽  
...  
Keyword(s):  
3D Printing ◽  
Medical Literature ◽  
Three Dimensional ◽  
Physical Object ◽  
Medical Community ◽  
Layer By Layer ◽  
Digital File ◽  
Standardized Terminology ◽  
Standard Terms ◽  
The Impact

AbstractFirst patented in 1986, three-dimensional (3D) printing, also known as additive manufacturing or rapid prototyping, now encompasses a variety of distinct technology types where material is deposited, joined, or solidified layer by layer to create a physical object from a digital file. As 3D printing technologies continue to evolve, and as more manuscripts describing these technologies are published in the medical literature, it is imperative that standardized terminology for 3D printing is utilized. The purpose of this manuscript is to provide recommendations for standardized lexicons for 3D printing technologies described in the medical literature. For all 3D printing methods, standard general ISO/ASTM terms for 3D printing should be utilized. Additional, non-standard terms should be included to facilitate communication and reproducibility when the ISO/ASTM terms are insufficient in describing expository details. By aligning to these guidelines, the use of uniform terms for 3D printing and the associated technologies will lead to improved clarity and reproducibility of published work which will ultimately increase the impact of publications, facilitate quality improvement, and promote the dissemination and adoption of 3D printing in the medical community.

scholarly journals ECONOMIC APPROACH TO THE CHOICE OF TARGET WOOD SPECIES FOR THE FOREST GROWING IN KAMA REGION OF THE REPUBLIC OF TATARSTAN

2017 ◽  
pp. 20-27
Author(s):  
Пуряев ◽  
Aynur Puryaev ◽  
Мифтахов ◽  
Timur Miftakhov ◽  
Демаков ◽  
...  
Keyword(s):  
Tree Species ◽  
Market Value ◽  
Economic Assessment ◽  
Oak Forests ◽  
Forest Site ◽  
Economic Approach ◽  
Annual Increment ◽  
The Republic ◽  
Standard Terms ◽  
Mean Annual Increment

The objectives of economic assessment of forests, growing on rich soil and environmental conditions, are especially important for the Republic of Tatarstan, as forest site conditions are presented, mostly, fresh suramens and sudubravas. The aim is to develop an algorithm and a mathematical model of the tax and market value dynamics of stands, needed to justify the choice of target tree species. The object of the study is served as detached electronic database of forestry and forest taxation indices of Kama region, general commodity tables and rate per unit volume of standing wood. The methodology of the study was consistent sort and organize raw data on the studied parameters, as well as the drawing up of mathematical models of the dynamics of the studied parameters. According to the research rezults the algorithm of selecting the target tree species was developed, providing the highest economic benefit in cultivation. The pine stands are most profitable to grow at fresh suramens and oak forests at fresh sudubravas. Age of stand’s economic maturity, which occurs at the climax moment of values of mean annual increment of its tax value, is much lower for most tree species, than the established standard terms of logging.

scholarly journals Current practices in clinical neurofeedback with functional MRI—Analysis of a survey using the TIDieR checklist

2018 ◽  
Vol 50 ◽  
pp. 28-33 ◽  
Author(s):  
Elizabeth Randell ◽  
Rachel McNamara ◽  
Leena Subramanian ◽  
Kerenza Hood ◽  
David Linden
Keyword(s):  
Functional Mri ◽  
Online Survey ◽  
Scientific Evidence ◽  
Complex Interventions ◽  
Evidence Base ◽  
Web Based ◽  
Study Protocols ◽  
Survey Responses ◽  
Intervention Description ◽  
Standard Terms

AbstractBackgroundA core principle of creating a scientific evidence base is that results can be replicated in independent experiments and in health intervention research. The TIDieR (Template for Intervention Description and Replication) checklist has been developed to aid in summarising key items needed when reporting clinical trials and other well designed evaluations of complex interventions in order that findings can be replicated or built on reliably. Neurofeedback (NF) using functional MRI (fMRI) is a multicomponent intervention that should be considered a complex intervention. The TIDieR checklist (with minor modification to increase applicability in this context) was distributed to NF researchers as a survey of current practice in the design and conduct of clinical studies. The aim was to document practice and convergence between research groups, highlighting areas for discussion and providing a basis for recommendations for harmonisation and standardisation.MethodsThe TIDieR checklist was interpreted and expanded (21 questions) to make it applicable to neurofeedback research studies. Using the web-based Bristol Online Survey (BOS) tool, the revised checklist was disseminated to researchers in the BRAINTRAIN European research collaborative network (supported by the European Commission) and others in the fMRI-neurofeedback community.ResultsThere were 16 responses to the survey. Responses were reported under eight main headings which covered the six domains of the TIDieR checklist: What, Why, When, How, Where and Who.ConclusionsThis piece of work provides encouraging insight into the ability to be able to map neuroimaging interventions to a structured framework for reporting purposes. Regardless of the considerable variability of design components, all studies could be described in standard terms of diagnostic groups, dose/duration, targeted areas/signals, and psychological strategies and learning models. Recommendations are made which include providing detailed rationale of intervention design in study protocols.

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