A status report with critical analysis of research trends in exploring medicinal plants as antiviral: Let us dig into the history to predict the future

2021 ◽  
Author(s):  
Souvik Mukherjee ◽  
Kavi Bhushan Singh Chouhan ◽  
Roshni Tandey ◽  
Neelima Yadav ◽  
Mahaveer Dhobi ◽  
...  
Keyword(s):  
Medicinal Plants ◽  
Critical Analysis ◽  
Research Trends ◽  
Status Report ◽  
The Future

Critical analysis and mapping of research trends and impact assessment of polyaromatic hydrocarbon accumulation in leaves: let history tell the future

2018 ◽  
Vol 25 (23) ◽  
pp. 22464-22474 ◽  
Author(s):  
Vivekananda Mandal ◽  
Kavi Bhushan Singh Chouhan ◽  
Roshni Tandey ◽  
Kamal Kumar Sen ◽  
Harneet Kaur Kala ◽  
...  
Keyword(s):  
Impact Assessment ◽  
Critical Analysis ◽  
Research Trends ◽  
Polyaromatic Hydrocarbon ◽  
Hydrocarbon Accumulation ◽  
The Future

NAMING OF BASOTHO MEDICINAL PLANTS: SEMANTIC CONNECTION TO THEIR REMEDIES

2015 ◽  
Vol 25 (1) ◽  
Author(s):  
R Possa ◽  
P Khotso
Keyword(s):  
Medicinal Plants ◽  
Medicinal Plant ◽  
Indigenous Knowledge ◽  
Future Generation ◽  
Speech Community ◽  
Traditional Medicines ◽  
Traditional Medicinal Plants ◽  
The Future ◽  
Economic Sphere ◽  
Medical Plants

The indigenous knowledge of the Basotho makes it simple for this speech community to name their traditional medicinal plants in such a way that they are meaningful; this could also be viewed as an empowerment technique, especially in the economic sphere. Their medicinal plants names seem to be idiomatic and to express certain philosophies of the Basotho society. Creativity is observable in this kind of naming, and many names allude to the kind of remedy that is associated with the medicinal plant. It is therefore the interest of this paper to consider the names of medical plants among the Basotho whose names allude to the remedy they provide. The names of Sesotho medicinal plants and the reasoning of the Basotho in general behind the name and the use of each medicinal plant will be discussed in this article. This paper will further preserve and promote the use of Basotho traditional medicines for the future generation.

Artificial Intelligence as a Growth Engine for Health Care Startups: Emerging Business Models

2018 ◽  
Vol 61 (2) ◽  
pp. 59-83 ◽  
Author(s):  
Massimo Garbuio ◽  
Nidthida Lin
Keyword(s):  
Artificial Intelligence ◽  
Health Care ◽  
Business Model ◽  
Value Creation ◽  
Critical Analysis ◽  
Business Models ◽  
Health Conditions ◽  
The World ◽  
The Future

The future of health care may change dramatically as entrepreneurs offer solutions that change how we prevent, diagnose, and cure health conditions, using artificial intelligence (AI). This article provides a timely and critical analysis of AI-driven health care startups and identifies emerging business model archetypes that entrepreneurs from around the world are using to bring AI solutions to the marketplace. It identifies areas of value creation for the application of AI in health care and proposes an approach to designing business models for AI health care startups.

scholarly journals The research on COVID-19 and economy from 2019 to 2020: analysis from the perspective of bibliometrics

2021 ◽  
Vol 12 (2) ◽  
pp. 217-268
Author(s):  
Nana Liu ◽  
Zeshui Xu ◽  
Marinko Skare
Keyword(s):  
Statistical Analysis ◽  
Value Added ◽  
Research Trends ◽  
Research Progress ◽  
Future Research ◽  
Human Society ◽  
Citation Networks ◽  
The Future ◽  
Meaningful Research

Research background: The outbreak and spread of COVID-19 brought disastrous influences to the development of human society, especially the development of economy. Purpose of the article: Considering that knowing about the situations of the existing studies about COVID-19 and economy is not only helpful to understand the research progress and the connections between COVID-19 and economy, but also provides effective suggestions for fighting against COVID-19 and protecting economy, this paper analyzes the existing studies on COVID-19 and economy from the perspective of bibliometrics. Methods: Firstly, the discussion starts from the statistical analysis, in which the basic distributions of the studies on different countries/regions, different publication sources, different publication years, etc., are presented. Then, the paper shows the cooperation situations of the researchers from analyzing the related citation networks, co-citation networks and cooperation networks. Further, the theme analysis of the related studies is presented, in which the related co-occurrence networks are shown, and then the detailed analyses of the studies are introduced. Based on these analyses, the discussions about future research are presented, and finally we draw a conclusion. Findings & value added: The analyses not only present the basic situation on the research about COVID-19 and Economy, but also show the future research trends, which can provide meaningful research expectations.

Digital research in architecture: reflecting on the past, analysing the trends, and considering the future

2017 ◽  
Vol 21 (4) ◽  
pp. 351-358 ◽  
Author(s):  
Michael J. Ostwald
Keyword(s):  
Longitudinal Analysis ◽  
Parametric Design ◽  
Space Syntax ◽  
Research Trends ◽  
Modern World ◽  
The Past ◽  
Professional Needs ◽  
The Future ◽  
Industry Applications ◽  
Architectural Research

This paper traces the rising and falling significance of twenty-two topics in digital architectural research. These topics, which are divided into seven primary themes, are examined using a longitudinal analysis (1995 to 2017) of research in the CumInCAD database. This database, which indexes more than 12,000 publications spanning the last four decades, is the largest dedicated resource for digital architectural research. The primary themes examined in this paper include research into: documentation and representation; environmental immersion; transformative methods or approaches; industry applications and impacts; pedagogy and interaction; and cross-disciplinary and sub-disciplinary focus. Some of the specific topics examined within these themes include research trends in BIM, virtual reality, parametric design, rapid-prototyping, the design studio and space syntax. In addition to these primary themes and topics, the longitudinal analysis is also used to examine a further twenty social, cultural and philosophical topics. Some of these secondary themes include crime, homelessness, politics, poverty, gender, emotions, ethics and violence. From this two-part analysis of the prevalence (or lack thereof) of various themes in the last twenty-one years of digital architectural research, the paper identified several challenges for the future. These challenges include the dangers of self-referentiality and insularity, the possible loss of grounding in industrial or professional needs and applications, and the lack of consideration of a growing number of problems facing the modern world.

The UK's Withdrawal from the EU

2021 ◽  
Author(s):  
Michael Dougan
Keyword(s):  
European Union ◽  
Northern Ireland ◽  
Critical Analysis ◽  
Legal Perspective ◽  
The Future ◽  
Article 50 ◽  
The Uk ◽  
The Eu

Following a national referendum on 23 June 2016, the UK announced its intention to end its decades-long membership of the EU. That decision initiated a process of complex negotiations, governed by Article 50 of the Treaty on European Union, with a view to making the arrangements required for an ‘orderly Brexit’. This book explores the UK’s departure from the EU from a legal perspective. As well as analysing the various constitutional principles relevant to ‘EU withdrawal law’, and detailing the main issues and problems arising during the Brexit process itself, the book provides a critical analysis of the final EU–UK Withdrawal Agreement—including dedicated chapters on the future protection of citizens’ rights, the border between Ireland and Northern Ireland, and the prospects for future EU–UK relations in fields such as trade and security.

Applications of Artificial Neural Networks in Economics and Finance

2018 ◽  
pp. 6631-6641
Author(s):  
Iva Mihaylova
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Research Trends ◽  
Dependence Analysis ◽  
Future Trends ◽  
Powerful Technique ◽  
Analytic Tool ◽  
The Future ◽  
Multivariate Dependence ◽  
Artificial Neural

Artificial neural Networks (ANNs) are a powerful technique for multivariate dependence analysis. Originally inspired by neuroscience, ANNs are becoming an increasingly attractive analytic tool for applications in the area of economics and finance due to the flexible solutions they offer. The purpose of this article is to present such important applications with an emphasis on recent research trends. The contributions are grouped as follows: ANNs (1) for prediction, (2) for classification and (3) for modelling. The chapter concludes with the future trends in the ANNs research in economics and finance.

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