Global soil science research collaboration in the 21st century: Time to end helicopter research

Geoderma ◽  
2020 ◽  
Vol 373 ◽  
pp. 114299 ◽  
Author(s):  
Budiman Minasny ◽  
Dian Fiantis ◽  
Budi Mulyanto ◽  
Yiyi Sulaeman ◽  
Wirastuti Widyatmanti
Keyword(s):  
21St Century ◽  
Research Collaboration ◽  
Science Research ◽  
Soil Science ◽  
Global Soil

Letter to the Editor: Response to Global soil science research collaboration in the 21st century: Time to end helicopter research by Minasny et al

Geoderma ◽  
2020 ◽  
Vol 378 ◽  
pp. 114559
Author(s):  
Imelda Bates ◽  
Lydia M. Chabala ◽  
R. Murray Lark ◽  
Alan MacDonald ◽  
Paul Mapfumo ◽  
...  
Keyword(s):  
21St Century ◽  
Research Collaboration ◽  
Science Research ◽  
Soil Science ◽  
Letter To The Editor ◽  
Global Soil

Response to comments on “global soil science research collaboration in the 21st Century: Time to end helicopter research”

Geoderma ◽  
2020 ◽  
Vol 373 ◽  
pp. 114303
Author(s):  
Budiman Minasny ◽  
Dian Fiantis ◽  
Budi Mulyanto ◽  
Yiyi Sulaeman ◽  
Wirastuti Widyatmanti
Keyword(s):  
21St Century ◽  
Research Collaboration ◽  
Science Research ◽  
Soil Science ◽  
Global Soil

Identifying Priority Questions for Soil Science Research in the 21st Century

Soil Horizons ◽  
2012 ◽  
Vol 53 (5) ◽  
pp. 1
Author(s):  
Julius Adewopo ◽  
Rupesh Bhomia
Keyword(s):  
21St Century ◽  
Science Research ◽  
Soil Science

scholarly journals Wineinformatics: Using the Full Power of the Computational Wine Wheel to Understand 21st Century Bordeaux Wines from the Reviews

Beverages ◽  
2021 ◽  
Vol 7 (1) ◽  
pp. 3
Author(s):  
Zeqing Dong ◽  
Travis Atkison ◽  
Bernard Chen
Keyword(s):  
21St Century ◽  
Data Science ◽  
Naive Bayes ◽  
Science Research ◽  
Naïve Bayes ◽  
Classification Algorithm ◽  
Wine Quality ◽  
Research Results ◽  
Full Power ◽  
Wine Region

Although wine has been produced for several thousands of years, the ancient beverage has remained popular and even more affordable in modern times. Among all wine making regions, Bordeaux, France is probably one of the most prestigious wine areas in history. Since hundreds of wines are produced from Bordeaux each year, humans are not likely to be able to examine all wines across multiple vintages to define the characteristics of outstanding 21st century Bordeaux wines. Wineinformatics is a newly proposed data science research with an application domain in wine to process a large amount of wine data through the computer. The goal of this paper is to build a high-quality computational model on wine reviews processed by the full power of the Computational Wine Wheel to understand 21st century Bordeaux wines. On top of 985 binary-attributes generated from the Computational Wine Wheel in our previous research, we try to add additional attributes by utilizing a CATEGORY and SUBCATEGORY for an additional 14 and 34 continuous-attributes to be included in the All Bordeaux (14,349 wine) and the 1855 Bordeaux datasets (1359 wines). We believe successfully merging the original binary-attributes and the new continuous-attributes can provide more insights for Naïve Bayes and Supported Vector Machine (SVM) to build the model for a wine grade category prediction. The experimental results suggest that, for the All Bordeaux dataset, with the additional 14 attributes retrieved from CATEGORY, the Naïve Bayes classification algorithm was able to outperform the existing research results by increasing accuracy by 2.15%, precision by 8.72%, and the F-score by 1.48%. For the 1855 Bordeaux dataset, with the additional attributes retrieved from the CATEGORY and SUBCATEGORY, the SVM classification algorithm was able to outperform the existing research results by increasing accuracy by 5%, precision by 2.85%, recall by 5.56%, and the F-score by 4.07%. The improvements demonstrated in the research show that attributes retrieved from the CATEGORY and SUBCATEGORY has the power to provide more information to classifiers for superior model generation. The model build in this research can better distinguish outstanding and class 21st century Bordeaux wines. This paper provides new directions in Wineinformatics for technical research in data science, such as regression, multi-target, classification and domain specific research, including wine region terroir analysis, wine quality prediction, and weather impact examination.

scholarly journals „Efekt aureoli” i „efekt uczestnictwa” a niezależność prawników-naukowców

2017 ◽  
Vol 110 ◽  
pp. 133-148
Author(s):  
Jolanta Jabłońska-Bonca
Keyword(s):  
Mass Media ◽  
21St Century ◽  
Scientific Research ◽  
Science Research ◽  
Status Quo ◽  
Occupational Roles ◽  
The World ◽  
The Status ◽  
Ethics Of Research ◽  
The Mass Media

“THE EFFECT OF AUREOLE” AND “EFFECT OF PARTICIPATION” IN THE LIGHT OF INDEPENDENCE OF LAWYERS-SCIENTISTSThe purpose of the text is to signal the need to investigate the conditions for the preserva­tion of the independence of lawyers who practice and simultaneously engage in science. Research independence is understood in the text as loyalty to the principles of methodology and ethics of research. There have been, and will be, lawyers-scientists who are creative, well-skilled to do re­search, and also autonomous, capable of criticizing the status quo, striving for truth no matter what the consequences. In the 21st century, being in such aposition is getting harder and harder. This is due to the fact that many lawyers-scientists concurrently perform important social and occupational roles besides scientific research. The article focuses on two examples of conditions that hinder the preservation of independence and entice lawyers-scientists into the world of politics and ideology. It is: a the activity of lawyers-scientists in the mass media and the consequences of the so-called “aureole effect”, as well as b the “dual occupancy” and the meaning of “participation effect”.

scholarly journals Use of Web 2.0 Social Networking Sites for Collaborative Sharing Research Information by the Social Science Research Scholars at Alagappa University, Karaikudi.

2020 ◽  
Vol 9 (3) ◽  
pp. 70-74
Keyword(s):  
Social Science ◽  
Web 2.0 ◽  
Social Networking ◽  
Social Networking Sites ◽  
Research Collaboration ◽  
Social Science Research ◽  
Science Research ◽  
Research Information ◽  
The Social ◽  
Strongly Agree

This study attempts to the Web 2.0 Social Networking Sites for Collaborative Sharing Research Information by the Social Science Research Scholars at Alagappa University, Karaikudi. A sample size 97 Scholars was selected by random sampling method. The data required for the study were collected through a questionnaire. The findings of the study: 30.9% of the respondents using Facebook/ WhatsApp along with most highly used in the popular web browser used for Google chrome 72.2% Google chrome. 48.5% of respondents’ preference of “Very Strongly Agree” Collaborate with Research projects and Teams. Whereas 46.4% “Research Collaboration “Strongly agree” of the respondents respectively. 30.9% purpose of Web 2.0 for Collaborations of Research Communication while 19.6% Opportunities and Learning for Web 2.0 tools support social interaction in the learning process of the respondents respectively.

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