emerging trends
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Fuel ◽  
2022 ◽  
Vol 312 ◽  
pp. 122928
Muthusamy Govarthanan ◽  
Sivasubramanian Manikandan ◽  
Ramasamy Subbaiya ◽  
Radhakrishnan Yedhu Krishnan ◽  
Subramanian Srinivasan ◽  

2022 ◽  
Vol 15 (1) ◽  
pp. 1-15
Giovanni Colavizza ◽  
Tobias Blanke ◽  
Charles Jeurgens ◽  
Julia Noordegraaf

The digital transformation is turning archives, both old and new, into data. As a consequence, automation in the form of artificial intelligence techniques is increasingly applied both to scale traditional recordkeeping activities, and to experiment with novel ways to capture, organise, and access records. We survey recent developments at the intersection of Artificial Intelligence and archival thinking and practice. Our overview of this growing body of literature is organised through the lenses of the Records Continuum model. We find four broad themes in the literature on archives and artificial intelligence: theoretical and professional considerations, the automation of recordkeeping processes, organising and accessing archives, and novel forms of digital archives. We conclude by underlining emerging trends and directions for future work, which include the application of recordkeeping principles to the very data and processes that power modern artificial intelligence and a more structural—yet critically aware—integration of artificial intelligence into archival systems and practice.

2022 ◽  
Vol 453 ◽  
pp. 214335
Pratik V. Shinde ◽  
Anjana Tripathi ◽  
Ranjit Thapa ◽  
Chandra Sekhar Rout

2022 ◽  
Vol 423 ◽  
pp. 127171
V.C. Shruti ◽  
Fermín Pérez-Guevara ◽  
Priyadarsi D. Roy ◽  
Gurusamy Kutralam-Muniasamy
Nile Red ◽  

Minerals ◽  
2022 ◽  
Vol 12 (1) ◽  
pp. 85
Garima Awasthi ◽  
Varad Nagar ◽  
Saglara Mandzhieva ◽  
Tatiana Minkina ◽  
Mahipal Singh Sankhla ◽  

The consequences of heavy metal contamination are progressively degrading soil quality in this modern period of industry. Due to this reason, improvement of the soil quality is necessary. Remediation is a method of removing pollutants from the root zone of plants in order to minimize stress and increase yield of plants grown in it. The use of plants to remove toxins from the soil, such as heavy metals, trace elements, organic chemicals, and radioactive substances, is referred to as bioremediation. Biochar and fly ash techniques are also studied for effectiveness in improving the quality of contaminated soil. This review compiles amelioration technologies and how they are used in the field. It also explains how nanoparticles are becoming a popular method of desalination, as well as how they can be employed in heavy metal phytoremediation.

2022 ◽  
Vol 6 (2) ◽  
pp. 31-37
Ben Kajwang

Purpose: Industrial linkage strategies are necessary in any industry since they promote development of new products and technologies and access to new capabilities.The objective of this study is to identify the industrial linkage strategies and their role in bridging the employability gap in the insurance sector. The purpose of the study is to enable the readers understand  the emerging trends in the insurance industry that help to bridge the employability gap and the innovative programs and approaches that foster youth employability. Methods: A desktop literature review was used for this purpose. Relevant seminal references and journal articles for the study were identified using Google Scholar. The inclusion criteria entailed papers that were not over five years old. Conclusions: The study concluded that some of the industrial linkage strategies that have reduced the employability gap include; use of high-tech programs, the hierarchy of critical skills and industrial talent strategy. Their role in bridging the employability gap in the insurance sector has resulted in increase in productivity among employers and employees in the insurance sector. Recommendations: The study recommended that insurance companies should incorporate and partner the high- tech companies who are more digitized, reinvent their workforce models and come up with training programs to nurture and equip their employees with top talent and adaptable skills.

2022 ◽  
pp. 307-319
Tesfay G. Ashebr ◽  
Hui Li ◽  
Xu Ying ◽  
Xiao-Lei Li ◽  
Chen Zhao ◽  

2022 ◽  
Zhaozhao Hui ◽  
Xiaoqin Wang ◽  
Ying Zhou ◽  
Yajing Li ◽  
Xiaohan Ren ◽  

Abstract Background: Cognitive frailty relates to various adverse health outcomes of older adults and is proposed as a new target of healthy ageing. This study aimed to analyze the status, hotspots, and emerging trends / frontiers of global research on cognitive frailty.Methods: Articles and reviews related to cognitive frailty of older people published from 2013 to 2021 were retrieved from the Web of Science Core Collection (WoSCC) database on 26 November 2021. CiteSpace 5.8.R3 was used to conduct the collaboration analysis, document co-citation analysis, and keyword co-occurrence analysis.Results: A total of 2,077 publications were included. There has been a rapid growth of publications on cognitive research since 2016. The United States, Italy, England, and Australia were the leading research centers of cognitive frailty; however, China has recently focused on this topic. The National Center for Geriatrics and Gerontology and Shimada H. were found to be the most prolific institution and author, respectively. Co-citation analysis identified 16 clusters, of which the largest was cognitive frailty. The most frequently occurred keyword was older adult, followed by cognitive impairment, frailty, risk, dementia, prevalence, mortality, health, and Alzheimer’s disease. Burst keyword detection revealed a rising interest in cognitive frailty models.Conclusions: By analyzing the publications over the past years, this study provides a comprehensive analysis of cognitive frailty research. A variety of visualized networks offer an in-depth understanding of the countries / regions, institutions, authors, hotspots, and research frontiers.

Harish K. Handral ◽  
Vaishali P. Natu ◽  
Tong Cao ◽  
Jerry Y. H. Fuh ◽  
Gopu Sriram ◽  

2022 ◽  
Vol 39 (2) ◽  
Priyanka Sekar ◽  
Raashmi Ravitchandirane ◽  
Sofia Khanam ◽  
Nethaji Muniraj ◽  
Ananda Vayaravel Cassinadane

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