Biochar in the 21st century: A data-driven visualization of collaboration, frontier identification, and future trend

Author(s):  
Fanzhi Qin ◽  
Jialing Li ◽  
Chen Zhang ◽  
Guangming Zeng ◽  
Danlian Huang ◽  
...  
2019 ◽  
Vol 34 (5) ◽  
pp. 274-277 ◽  
Author(s):  
Regina Wysocki ◽  
Erin D. Maughan

The beginning of a new school year provides an opportunity to share with teachers and principals how you, as the school nurse, support student learning. Presenting data, whether via an Excel spreadsheet, PowerPoint presentation, or handout is vital to telling your students’ story. While often we talk about compiling data for year-end reports, you can share your data anytime. Data can be used to articulate the complexity of students’ health and where needs exist. Presenting your data is a way to advocate for your students and describe your role as the school nurse. There are several questions to think about when preparing a data presentation: Who is your audience? What information are you presenting? How are you going to tell the story? And finally, why is this important? This article will provide tips on conveying your data-driven message to the audience with minimal effort, utilizing digital tools the 21st century school nurse is already familiar with.


2012 ◽  
pp. 259-272 ◽  
Author(s):  
Wenli Chen ◽  
Wenting Xie

In the 21st Century, due to development of transportation and communication technology, people are living in a more globalized world than ever before. International migration, with changing dynamics, is achieved at high speed and on a large scale. As new media are gaining popularity, the authors are curious about the way immigrants behave in the cyberspace and the consequences their cyber behaviors bring about. In this article, the authors trace the historical development of research on cyber behaviors of immigrants, explore important research topics, examine existing studies, and predict future trend in this area.


2019 ◽  
Vol 11 (24) ◽  
pp. 7006 ◽  
Author(s):  
Daikun Wang ◽  
Victor Jing Li

With the increasing volume and active transaction of real estate properties, mass appraisal has been widely adopted in many countries for different purposes, including assessment of property tax. In this paper, 104 papers are selected for the systematic literature review of mass appraisal models and methods from 2000 to 2018. The review focuses on the application trend and classification of mass appraisal and highlights a 3I-trend, namely AI-Based model, GIS-Based model and MIX-Based model. The characteristics of different mass appraisal models are analyzed and compared. Finally, the future trend of mass appraisal based on model perspective is defined as “mass appraisal 2.0”: mass appraisal is the appraisal procedure of model establishment, analysis and test of group of properties as of a given date, combined with artificial intelligence, geo-information systems, and mixed methods, to better model the real estate value of non-spatial and spatial data.


SAGE Open ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 215824402091590 ◽  
Author(s):  
Alvin Vista

The world is rapidly changing, and the systemic shifts have the potential to affect the nature of work. To prepare the workforce, it is crucial to develop the skills that will be necessary for the unpredictable landscape of the future. Before these skills can be developed, however, they have to be identified and quantified through some form of valuation. It is important that the approach to skills valuation is empirically defensible. This article presents an approach to skills valuation that focuses on the extent to which a skill facilitates occupational transitions as its measure of value. This valuation metric is then developed using a graph-theoretic approach. Results show that this valuation reflects skills-importance that aligns with existing skills valuation in the literature. Limitations of this approach and its potential extensions are discussed.


Author(s):  
Vishu Bhooshan ◽  
Shajay Bhooshan

Solutions to the significant social, ecological and economic opportunities and problems of 21st century architecture and urbanism involve a vast number of variables. These solutions will require the use of data-driven technologies to acquire physical and social information of sites and consumer communities, digital technologies to design for the briefs so acquired and robotic manufacturing to deliver the designed solutions effectively.


2000 ◽  
Vol 2 (2) ◽  
pp. 133-147 ◽  
Author(s):  
Roland K. Price

The developing insights of hydroinformatics have much to offer the water industry, and particularly urban storm and wastewater drainage. This paper reviews aspects of data mining and knowledge discovery of large asset databases, the complementary nature of both physically based and data-driven modelling of drainage network performance, and the roles of decision support systems and knowledge management. It concludes with the presentation of ten agenda items that would benefit research and practice at the beginning of the 21st century.


Author(s):  
Matthias Lederer ◽  
Juluis Lederer

Data-driven business processes management (BPM) is regarded as a central future trend because automation often makes huge amounts of data (big data) available for the optimisation and control of workflows. Software manufacturers also use this trend and call their solutions big data applications, even if some features are reminiscent of traditional data management approaches. This chapter derives from the basic definitions of big data including 13 central requirements that a big data BPM solution must meet in order to be described as such. One hundred twenty-one process management solutions are evaluated on the basis of these to determine whether they are real big data applications. As a result, less than 5% of all solutions analysed meet all requirements.


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