The Paleoenvironmental Standard Terms (PaST) Thesaurus: Standardizing heterogeneous variables in paleoscience

2021 ◽  
Author(s):  
Carrie Morrill ◽  
Bridget Thrasher ◽  
Samuel N. Lockshin ◽  
Edward P. Gille ◽  
Shelley McNeill ◽  
...  
Keyword(s):  
Standard Terms ◽  
Heterogeneous Variables

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.

Effects of air quality on the health of Mediterranean forests

2021 ◽  
Author(s):  
Adrián García Bruzón ◽  
Patricia Arrogante Funes ◽  
Laura Muñoz Moral
Keyword(s):  
Climate Change ◽  
Machine Learning ◽  
Random Forest ◽  
Aridity Index ◽  
Plant Health ◽  
Mediterranean Forests ◽  
Random Forest Algorithm ◽  
The Mediterranean ◽  
Heterogeneous Variables ◽  
Peninsular Spain

<p>The climate change has turned out to be a determining factor in the development of forest in Spain. Production systems have emitted polluting gases and other particles into the atmosphere, for which some plants have not yet developed adaptation systems. Among the most harmful pollutants for the environment are gases such as nitrous oxides, ozone, particulate matter.</p><p>However, this condition is not the same in Peninsular Spain, and the Balearic Islands since the plant compositions differ in the territory and the bioclimatic, topographic, and anthropic characteristics. Monitoring the vegetation with sufficient spatial and temporal resolution, studying variables conditioning plant health is a challenge from the nature of the variables and the amount of data to be handled. </p><p>The Mediterranean forest is one of the most ecosystem affected by climate change because of usually experimented long periods of drought that, in combination with increased temperatures, can drastically reduce the photosynthetic activity of trees and therefore the biomass of forests.</p><p>That is why the application of environmental technologies based on Remote Sensing (which provide plant health indices from passive sensors on satellite platforms and other variables of interest), Geographic Information Systems (to integrate, process, analyze spatial and temporal data) and machine learning models (which facilitate the extraction of relationships between variables, conditioning factors and predict patterns). </p><p>In this regard, this work's objective is to evaluate the possible effect that different pollutants have on the health of the vegetation, measured from the annual values of the Normalized Difference Vegetation Index (NDVI), in the Mediterranean forests of Peninsular Spain. To achieve this, we are used machine learning techniques using the Random Forest algorithm. The study has also been done with various climatic, topographic, and anthropic variables that characterize the forest to carry it out. </p><p>The results showed that certain variables such as the aridity index had generated the NDVI values and therefore plant development, while others are limiting factors such as the concentration of certain pollutants and the direct relationship between them particulates and NOx. This study can verify how the Random Forest algorithm offers reliable results, even when working with heterogeneous variables. </p>

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 Brand Value Assessment in Terms of Contemporary Global Challenges

2017 ◽  
Author(s):  
Maria Misankova ◽  
Jana Kliestikova ◽  
Anna Krizanova ◽  
Tatiana Corejova
Keyword(s):  
Dynamic System ◽  
Input Data ◽  
Slovak Republic ◽  
Brand Value ◽  
Value Assessment ◽  
Brand Positioning ◽  
Critical Comparison ◽  
Global Challenges ◽  
Value Model ◽  
Heterogeneous Variables

Brand represents one of the most important assets of the company. Brand-managing activities are typically related to brand positioning and integration with marketing campaigns, and can involve complex decisions. The branding of an organization is indeed a dynamic system with many cause-effect relationships as well as intangible and heterogeneous variables. In order to assess the value of individual brands can be used various models developed worldwide, based on different input data and valuation methodologies. We assume that individual environment in which company operates and consumers’ perceptions in different countries influence the ability and usability of these models in other countries. Therefore, we applied chosen well-known brand value models on the set of Slovak companies and validated their assessment ability in specific condition of the Slovak Republic. This was provided by the critical comparison of calculated values with the official values of brands of these companies listed in the Slovak journal. Through this, we pointed out the importance of the development of unique brand value model, which will be constructed in the specific condition of individual countries and highlight the weak assessment ability of foreign models.

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