scholarly journals Flavonoids: an overview

2016 ◽  
Vol 5 ◽  
Author(s):  
A. N. Panche ◽  
A. D. Diwan ◽  
S. R. Chandra
Keyword(s):  
Research And Development ◽  
Future Research ◽  
Research Directions ◽  
Beneficial Effects ◽  
Natural Substances ◽  
Current Trends ◽  
Potential Applications ◽  
Future Research Directions ◽  
Derivatives Of ◽  
Working Mechanisms

AbstractFlavonoids, a group of natural substances with variable phenolic structures, are found in fruits, vegetables, grains, bark, roots, stems, flowers, tea and wine. These natural products are well known for their beneficial effects on health and efforts are being made to isolate the ingredients so called flavonoids. Flavonoids are now considered as an indispensable component in a variety of nutraceutical, pharmaceutical, medicinal and cosmetic applications. This is attributed to their anti-oxidative, anti-inflammatory, anti-mutagenic and anti-carcinogenic properties coupled with their capacity to modulate key cellular enzyme function. Research on flavonoids received an added impulse with the discovery of the low cardiovascular mortality rate and also prevention of CHD. Information on the working mechanisms of flavonoids is still not understood properly. However, it has widely been known for centuries that derivatives of plant origin possess a broad spectrum of biological activity. Current trends of research and development activities on flavonoids relate to isolation, identification, characterisation and functions of flavonoids and finally their applications on health benefits. Molecular docking and knowledge of bioinformatics are also being used to predict potential applications and manufacturing by industry. In the present review, attempts have been made to discuss the current trends of research and development on flavonoids, working mechanisms of flavonoids, flavonoid functions and applications, prediction of flavonoids as potential drugs in preventing chronic diseases and future research directions.

scholarly journals Mapping and Clustering Analysis on Environmental, Social and Governance Field a Bibliometric Analysis Using Scopus

2021 ◽  
Vol 13 (13) ◽  
pp. 7304
Author(s):  
Shang Gao ◽  
Fanchen Meng ◽  
Zhouyang Gu ◽  
Zhiyuan Liu ◽  
Muhammad Farrukh
Keyword(s):  
Bibliometric Analysis ◽  
Clustering Analysis ◽  
Research Agenda ◽  
Future Research ◽  
Unique Contribution ◽  
Research Directions ◽  
Current Trends ◽  
Bibliographic Data ◽  
Future Research Directions ◽  
Scopus Database

Academic interest in ESG has grown significantly in recent years. Nevertheless, bibliometric and visualization research on this topic is still insufficient. This study aims to conduct publication metrics on the literature connected with ESG and attempt to give a research agenda for future research. In this study, we used data from the Scopus database. Various bibliometric techniques, such as bibliographic coupling and co-occurrence analysis, were combined with assorted themes to present an overview. To the best of our knowledge, there is no study that analyses the bibliographic data on ESG fields; this study is a unique contribution to the literature. This study also provides an overview of the trends and trajectories with a visual and schematic frame for the research of this topic. This may help researchers understand the current trends and future research directions, and enable future authors to conduct their studies more effectively.

Electrochemical polymerization for two-dimensional conjugated polymers

2018 ◽  
Vol 6 (40) ◽  
pp. 10672-10686 ◽  
Author(s):  
Qing Zhang ◽  
Huanli Dong ◽  
Wenping Hu
Keyword(s):  
Conjugated Polymers ◽  
Electrochemical Polymerization ◽  
Research Progress ◽  
Future Research ◽  
Special Focus ◽  
Two Dimensional ◽  
Research Directions ◽  
Potential Applications ◽  
Future Research Directions ◽  
Recent Research Progress

This article places special focus on the recent research progress of the EP method in synthesizing CPs. In particular, their potential applications as 2D CPs are summarized, with a basic introduction of the EP method, its use in synthesizing CPs as well as the promising applications of the obtained CPs in different fields. Discussions of current challenges in this field and future research directions are also given.

Person–Environment Fit and Work Satisfaction: Exploring the Conditional Effects of Age

2019 ◽  
Author(s):  
Rachel S Rauvola ◽  
Cort W Rudolph ◽  
Lena K Ebbert ◽  
Hannes Zacher
Keyword(s):  
Work Satisfaction ◽  
Work Outcomes ◽  
Future Research ◽  
Older Individuals ◽  
Research Directions ◽  
Socioemotional Selectivity ◽  
Conditional Effects ◽  
Person Environment Fit ◽  
Potential Applications ◽  
Future Research Directions

Abstract Person–environment (PE) fit, a broad constellation of constructs related to an individual’s congruence with their work environment, is of great interest to research and practice given its implications for positive work outcomes and sustainable employment. Informed by a life-span perspective, particularly socioemotional selectivity theory, the present studies investigated potential age-conditional effects of PE fit types (person–job [PJ], person–group [PG], and person–organization [PO] fit) on work satisfaction. In two studies, a policy-capturing approach was used in which participants read a series of work scenario vignettes and then rated their hypothetical work satisfaction in these scenarios. In Study 1, these cues varied by fit type and levels of fit (i.e., low, medium, high), while in Study 2, they varied by fit type and level in addition to goal type (i.e., socioemotional, instrumental). It was expected that PJ fit would be more important for work satisfaction of relatively younger participants and PO fit would be more important for relatively older participants; potential age-conditional PG effects were explored as well. Findings provided support for the assumption that PO fit is more important for older individuals’ work satisfaction, while PJ and PG fit manifested mixed results; moreover, we did not find significant effects of goal type as anticipated in Study 2. These results are interpreted in light of existing theory, and future research directions and potential applications are discussed.

Future Research Directions of Software Engineering and Knowledge Engineering

2015 ◽  
Vol 25 (02) ◽  
pp. 415-421 ◽  
Author(s):  
Haiping Xu
Keyword(s):  
Software Engineering ◽  
Development Process ◽  
Knowledge Engineering ◽  
Future Research ◽  
Software Systems ◽  
Research Directions ◽  
Knowledge Based ◽  
Intelligent Software ◽  
Current Trends ◽  
Future Research Directions

Software Engineering (SE) and Knowledge Engineering (KE) are closely related disciplines with goals of turning the development process of software systems and knowledge-based systems, respectively, into engineering disciplines. In particular, they together can provide systematic approaches for engineering intelligent software systems more efficiently and cost-effectively. As there is a large overlap between the two disciplines, the interplay is vital for both to be successful. In this paper, we divide the intersection of SE and KE into three subareas, namely Knowledge-Supported Software Engineering (KSSE), Engineering Knowledge as a Software (EKaaS), and Intelligent Software System Engineering (ISSE). For each subarea, we describe the challenges along with the current trends, and predict the future research directions that may have the most potential for success.

scholarly journals Goal Reasoning: Foundations, Emerging Applications, and Prospects

AI Magazine ◽  
2018 ◽  
Vol 39 (2) ◽  
pp. 3-24 ◽  
Author(s):  
David W. Aha
Keyword(s):  
Research And Development ◽  
Intelligent Agents ◽  
Autonomous Systems ◽  
Future Research ◽  
Research Directions ◽  
Bright Future ◽  
Future Research Directions ◽  
Goal Reasoning ◽  
Ai Safety

Goal reasoning (GR) has a bright future as a foundation for the research and development of intelligent agents. GR is the study of agents that can deliberate on and self-select their goals/objectives, which is a desirable capability for some applications of deliberative autonomy. While studied in diverse AI sub-communities for multiple applications, our group has focused on how GR can play a key role for controlling autonomous systems. Thus, its importance is rapidly growing and it merits increased attention, particularly from the perspective of research on AI safety. In this article, I introduce GR, briefly relate it to other AI topics, summarize some of our group’s work on GR foundations and emerging applications, and describe some current and future research directions.

Methods and Techniques of Data Mining

2021 ◽  
pp. 749-767
Author(s):  
Ana Funes ◽  
Aristides Dasso
Keyword(s):  
Artificial Intelligence ◽  
Data Mining ◽  
Research And Development ◽  
Knowledge Acquisition ◽  
Future Research ◽  
Research Directions ◽  
New Methods ◽  
Methods And Techniques ◽  
Future Research Directions

Nowadays, there is an increasing number of applications where artificial intelligence has fuelled the research and development of new methods, techniques, and tools related to knowledge acquisition and data mining. The development of data mining and other related disciplines has benefited from the existence of large volumes of data proceeding from the most diverse sources and domains. KDD process and methods of data mining allows for the discovery of knowledge in data that is hidden to humans, presenting this knowledge under different ways. In this chapter, the relation of data mining with other disciplines is analyzed, an overview of data mining tasks and methods is presented, and also a possible classification of them is given. Finally, a brief discussion on issues associated to the discipline and future research directions are also given.

Polymeric nanocomposites reinforced with nanowhiskers: Design, development, and emerging applications

2020 ◽  
Vol 36 (3) ◽  
pp. 312-333
Author(s):  
Ayesha Kausar
Keyword(s):  
Antibacterial Agents ◽  
Water Resistance ◽  
Material Design ◽  
Future Research ◽  
Polymeric Nanocomposites ◽  
Design Development ◽  
Research Directions ◽  
Potential Applications ◽  
Future Research Directions ◽  
Processing Techniques

This article provides insights into nanowhisker nanofiller particles, different categories of polymer/nanowhisker nanocomposites, and broad span of applications. Nanowhiskers are hierarchical needle-like elementary crystallites, often used as nanofillers in polymers. Cellulose, chitin, zinc oxide, fullerene, and aluminum nitride-based nanowhiskers have been employed in matrices. Inclusion of organic and inorganic nanowhiskers in polymers has enhanced thermal conductivity, electrical conductivity, thermal stability, water resistance, and other physical properties of nanocomposites. Polymer/nanowhisker nanocomposites have found technical applications in supercapacitors, sensors, anticorrosion agents, antibacterial agents, and drug delivery systems. Future research directions for potential applications rely on material design, nanowhisker functionalization, better dispersion, better reinforcement, and better processing techniques.

scholarly journals Smart Education: A Review and Future Research Directions

Proceedings ◽  
2019 ◽  
Vol 31 (1) ◽  
pp. 57 ◽  
Author(s):  
Adrián Martín ◽  
Carlos Alario-Hoyos ◽  
Carlos Kloos
Keyword(s):  
Literature Review ◽  
Research And Development ◽  
Systematic Literature Review ◽  
Educational Technologies ◽  
Future Research ◽  
Formal Definition ◽  
Research Directions ◽  
New Developments ◽  
Smart Education ◽  
Future Research Directions

Research and development often move forward based on buzzwords. New terms are coined to summarize new developments, often with several interpretations and without a formal definition. The term Smart Education has been coined to represent a move forward in technology-enhanced education, but what is behind it? Does it represent something essentially different from the educational technologies used before? In this paper, we do a systematic literature review to understand how this term is used, what the technologies behind it are, and what promises are made. We conclude that although the term is fuzzy, there are indeed several developments available today that can make educational technologies much more adapted to the learner and therefore underpin the learning in a smarter way.

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