Semantic and Morpho-Syntactic Prevention’s Guidelines for COVID-19 Based on Cognitively Inspired Artificial Intelligence and Data Mining. Case Study: Europe, North America, and South America

2021 ◽  
pp. 501-519
Author(s):  
Yoe A. Herrera-Jaramillo ◽  
Danny A. J. Gómez-Ramírez ◽  
Johana C. Ortega-Giraldo ◽  
Alex M. Ardila-Garcia
Keyword(s):  
Artificial Intelligence ◽  
Data Mining ◽  
North America ◽  
South America

scholarly journals Thematic Dynamics of Internet of Things (IoT): Impact on Digital Personalized Healthcare (PHC)

2021 ◽  
Author(s):  
Bongs Lainjo
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Data Mining ◽  
Successful Implementation ◽  
Daily Lives ◽  
Personalized Healthcare ◽  
Iot Platform ◽  
Iot Platforms ◽  
Almost All

Abstract Background: Information technology has continued to shape contemporary thematic trends. Advances in communication have impacted almost all themes ranging from education, engineering, healthcare, and many other aspects of our daily lives. Method: This paper attempts to review the different dynamics of the thematic IoT platforms. A select number of themes are extensively analyzed with emphasis on data mining (DM), personalized healthcare (PHC), and thematic trends of a select number of subjectively identified IoT-related publications over three years. In this paper, the number of IoT-related-publications is used as a proxy representing the number of apps. DM remains the trailblazer, serving as a theme with crosscutting qualities that drive artificial intelligence (AI), machine learning (ML), and data transformation. A case study in PHC illustrates the importance, complexity, productivity optimization, and nuances contributing to a successful IoT platform. Among the initial 99 IoT themes, 18 are extensively analyzed using the number of IoT publications to demonstrate a combination of different thematic dynamics, including subtleties that influence escalating IoT publication themes. Results: Based on findings amongst the 99 themes, the annual median IoT-related publications for all the themes over the four years were increasingly 5510, 8930, 11700, and 14800 for 2016, 2017, 2018, and 2019 respectively; indicating an upbeat prognosis of IoT dynamics. Conclusion: The vulnerabilities that come with the successful implementation of IoT systems are highlighted including the successes currently achieved by institutions promoting the benefits of IoT-related systems like the case study. Security continues to be an issue of significant importance.

Graph-Based Data Mining

2007 ◽  
pp. 291-307
Author(s):  
Wenyuan Li ◽  
Wee-Keong Ng ◽  
Kok-Leong Ong
Keyword(s):  
Artificial Intelligence ◽  
Data Mining ◽  
Graph Mining ◽  
The Other ◽  
Complex Data ◽  
Graph Problem ◽  
Data Graph ◽  
Theoretical Results

With the most expressive representation that is able to characterize the complex data, graph mining is an emerging and promising domain in data mining. Meanwhile, the graph has been well studied in a long history with many theoretical results from various foundational fields, such as mathematics, physics, and artificial intelligence. In this chapter, we systematically reviewed theories and techniques newly studied and proposed in these areas. Moreover, we focused on those approaches that are potentially valuable to graph-based data mining. These approaches provide the different perspectives and motivations for this new domain. To illustrate how the method from the other area contributes to graph-based data mining, we did a case study on a classic graph problem that can be widely applied in many application areas. Our results showed that the methods from foundational areas may contribute to graph-based data mining.

Effect of particulate iron on tracking indoor PM2.5 of outdoor origin: A case study in Nanjing, China

2020 ◽  
pp. 1420326X1989914
Author(s):  
Zhitong Wang ◽  
Cong Liu ◽  
Qian Hua ◽  
Xiaohong Zheng ◽  
Wenjing Ji ◽  
...  
Keyword(s):  
North America ◽  
South America ◽  
Spatial Scales ◽  
The World ◽  
Particulate Iron ◽  
The Mean ◽  
Temporal And Spatial ◽  
Indoor Pm2.5 ◽  
Indoor And Outdoor

A tracer element can help distinguish between indoor PM2.5 of outdoor origin and that of indoor origin. PM2.5-associated iron has been proposed as a tracer element of PM2.5 in Beijing. This study aims to examine the effect of particulate iron on tracking indoor PM2.5 of outdoor origin in temporal and spatial scales. From July 2018 to March 2019, we collected 24 pairs of indoor and outdoor PM2.5 samples in Nanjing, China. We calculated a normalized ratio (ratio of indoor/outdoor (I/O) ratio of iron to that of PM2.5). Results show a mean ± SD of the normalized ratio of 1.0 ± 0.38. It suggests that particulate iron tracks PM2.5 well during outdoor-to-indoor transport on average. This tracking performance varies temporally. The mean ± SD of the normalized ratio is 0.79 ± 0.17 from July to December 2018 and 1.2 ± 0.41 in March. The results from studies published in different regions of the world over recent years show a mean normalized ratio of 0.88, 0.67, 1.3 and 0.8 in Asia, Europe, North America and South America, respectively, indicating the spatial heterogeneity of iron’s tracking effect. In comparison, sulphate appears to exhibit a less stable tracking effect than iron.

scholarly journals Thematic Dynamics of Internet of Things (IoT): Impact on Digital Personalized Healthcare (PHC)

2021 ◽  
Vol 6 (3) ◽  
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Data Mining ◽  
Successful Implementation ◽  
Daily Lives ◽  
Personalized Healthcare ◽  
Iot Platform ◽  
Iot Platforms ◽  
Almost All

Information technology has continued to shape contemporary thematic trends. Advances in communication have impacted almost all themes ranging from education, engineering, healthcare, and many other aspects of our daily lives. This paper attempts to review the different dynamics of the thematic IoT platforms. A select number of themes are extensively analyzed with emphasis on data mining (DM), personalized healthcare (PHC), and thematic trends of a select number of subjectively identified IoT-related publications over three years. In this paper, the number of IoT-related-publications is used as a proxy representing the number of apps. DM remains the trailblazer, serving as a theme with crosscutting qualities that drive artificial intelligence (AI), machine learning (ML), and data transformation. A case study in PHC illustrates the importance, complexity, productivity optimization, and nuances contributing to a successful IoT platform. Among the initial 99 IoT themes, 18 are extensively analyzed using the number of IoT publications to demonstrate a combination of different thematic dynamics, including subtleties that influence escalating IoT publication themes. Based on findings amongst the 99 themes, the annual median IoT-related publications for all the themes over the four years were increasingly 5510, 8930, 11700, and 14800 for 2016, 2017, 2018, and 2019 respectively; indicating an upbeat prognosis of IoT dynamics. And finally, the vulnerabilities that come with the successful implementation of IoT systems are highlighted as part of the research. Security continues to be an issue of significant importance.

Text and Data Mining Exception in South America: A Way to Foster AI Development in the Region

2021 ◽  
Author(s):  
Matías Jackson Bertón
Keyword(s):  
Artificial Intelligence ◽  
Data Mining ◽  
South America ◽  
International Organizations ◽  
Computational Analysis ◽  
Digital Technologies ◽  
Current State ◽  
Research Techniques ◽  
Competitive Disadvantage ◽  
Text And Data Mining

  In 2015, authors wondered if Europe was falling behind in the artificial intelligence (AI) race because of the lack of a text and data mining (TDM) exception. What can then be said for South America? Copyright regimes and their interaction with the development of digital technologies in this continent have been overlooked by authors. This paper intends to start filling this gap by mapping the current state of copyright exceptions that serve computational analysis in South America. After reviewing the copyright regimes of the five largest economies of the region (i.e. Argentina, Brazil, Chile, Colombia and Peru), I concluded that they are not prepared for digital research techniques such as text and data mining. Researchers in these countries are at a competitive disadvantage, as rigid and outdated copyright regimes act as a constraint against keeping pace with the latest developments in subsequent years. If policymakers want to develop their nations’ AI capabilities, as many governments and international organizations claim they do, they will need to look for a more flexible and enabling approach to copyright.

Predicting Business Bankruptcy

2016 ◽  
Vol 5 (2) ◽  
pp. 48-65
Author(s):  
Rui Sarmento ◽  
Luís Trigo ◽  
Liliana Fonseca
Keyword(s):  
Artificial Intelligence ◽  
Data Mining ◽  
Financial Institutions ◽  
Broad Spectrum ◽  
Financial Distress ◽  
Sustainability Assessment ◽  
Business Environment ◽  
Decision Makers ◽  
Government Agencies

Managers, investors, financial institutions and government agencies have a major concern on forecasting enterprise bankruptcy. It enables the sustainability assessment of critical suppliers and clients, as well as competitors and the business environment. Throughout the 20th and the 21st century, advances in statistics and computer science fields enabled the development of different trends in financial distress assessment that co-exist today. However, recent Data Mining (DM) techniques are regarded as being the most precise. IT expertise requirements in the constantly evolving DM field may have been a major obstacle to the adoption of these techniques by decision makers. Furthermore, DM software tools that are now widespread offer a broad spectrum of Artificial Intelligence algorithms and the most difficult task may be the decision of selecting the appropriate algorithm. Hence, the adoption of a good workflow method for data processing and analysis is critical for having fast and reliable results. This work presents an overview of the available bankruptcy techniques and provides a comprehensive case study exploring the latest Data Mining techniques.

Migrant Diplomacies: Rethinking Diplomacy Beyond State-Centric Perspectives. A Civic Bi-Nationality Experience from North America

2020 ◽  
Vol 17 (1) ◽  
pp. 37-46 ◽  
Author(s):  
Antonio Alejo
Keyword(s):  
North America ◽  
Mexico City ◽  
Theoretical Framework ◽  
Global Politics ◽  
National Interests ◽  
Interdisciplinary Dialogue ◽  
Contemporary Politics ◽  
Migrant Activism ◽  
Point Of Departure

There is a pressing need to extend our thinking about diplomacy beyond state-centric perspectives, as in the name of sovereignty and national interests, people on move are confronting virtual, symbolic and/or material walls and frames of policies inhibiting their free movement. My point of departure is to explore migrant activism and global politics through the transformation of diplomacy in a globalised world. Developing an interdisciplinary dialogue between new diplomacy and sociology, I evidence the emergence of global sociopolitical formations created through civic bi-nationality organisations. Focusing on the agent in interaction with structures, I present a theoretical framework and strategy for analysing the practices of migrant diplomacies as an expression of contemporary politics. A case study from North America regarding returned families in Mexico City provides evidence of how these alternative diplomacies are operating.

Effects of insecticides on adults and eggs of Drosophila suzukii (Diptera, Drosophilidae)

2017 ◽  
Vol 43 (2) ◽  
pp. 208 ◽  
Author(s):  
Daniele Cristine Hoffmann Schlesener ◽  
Jutiane Wollmann ◽  
Juliano De Bastos Pazini ◽  
Anderson Dionei Grützmacher ◽  
Flávio Roberto Mello Garcia
Keyword(s):  
North America ◽  
South America ◽  
Chemical Control ◽  
Stone Fruits ◽  
Drosophila Suzukii ◽  
Ovicidal Effect ◽  
Mere Presence ◽  
South Of Brazil ◽  
Different Cultures ◽  
First Time

Drosophila suzukii (Diptera, Drosophilidae) is an exotic species, endemic to Asia and currently a pest to small and stone fruits in several countries of North America and Europe. It was detected in 2013 for the first time in South America, in the south of Brazil. Unlike most drosophilids, this species deserves special attention, because the females are capable of oviposit inside healthy fruits, rendering their sale and export prohibited. Despite the confirmed existence of this species in different states of Brazil, this insect is yet been to be given the pest status. Nevertheless, the mere presence of this species is enough to cause concern to producers of small fruits and to justify further investigation for it’s control, especially chemical control for a possible change in status. Therefore, the goal of this work was to evaluate, in laboratory, mortality of D. suzukii adults and ovicidal effect when exposed to different insecticides registered for species of the Tephritidae and Agromyzidae families in different cultures. The insecticides deltamethrin, dimethoate, spinosad, fenitrothion, phosmet, malathion, methidathion, and zeta-cypermethrin resulted in mortality to 100 % of the subjects three days after the treatment (DAT). Regarding the effects over eggs, it was  established that the insecticides fenitrothion, malathion, and methidathion deemed 100 % of the eggs not viable, followed by phosmet and diflubenzuron, which also caused elevated reduction in the eclosion of larvae two DAT.

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