News

Friend or foe: Do online recommender tools really improve decision making?

Published 29 November, 2021

The researchers conducted two experiments using Jingdong and Taobao, the two biggest online shopping platforms in China. According to author Jian Mou, of Korea’s Pusan National University, “we found that AI recommendation augmented the information cocoon effect. In other words, people see what they want to see, and then the website’s AI recommender algorithm selects content for them based on those preferences. This negatively impacts the quality of the customer’s purchasing decisions.”

Why long samples are one of the keys to improving predictive algorithms in finance

Published 23 November, 2021

In a study published in the KeAi The Journal of Finance and Data Science, Guillaume Coqueret, a Professor of Finance and Data Science at France’s EMLYON Business School, considered three dimensions of factor models based on ML: the persistence of the dependent variable, the size of the samples, and the holding period (i.e., the rebalancing frequency of the portfolio). His analysis focused on the US stock market.

A new cell factory for high-efficiency production of ectoine

Published 08 November, 2021

A study published in the KeAi journal Green Chemical Engineering, has reported the biotechnological construction of an efficient ectoine cell factory based on E. coli BL21(DE3). Using metabolic engineering, researchers synthesised the ectoine with the E. coli, using glucose as the sole carbon source. By reconstructing the ectoine synthetic pathway, and enhancing the biosynthesis of ectoine precursor in E. coli, a high level of 60.7 g/L of ectoine was produced using a fed-batch fermentation approach.

Existing product standards for off-grid solar systems could prove a barrier to India’s energy transition

Published 03 November, 2021

Indian product standards for off-grid solar systems are acting as barriers to the country’s energy transition. Such barriers can increase the costs for manufacturers of complying with the various standards’ testing and certification procedures, while the variation in product service levels can result in mistrust among consumers.

Mapping the impact of tiered pricing reform on China’s residential electricity use

Published 01 November, 2021

According to author Xiumei Yu: “The results of the paper have several policy implications. The fact that the average residential electricity use was reduced by the tiered pricing reform shows that this kind of reform can encourage residents to reduce their electricity use. In addition, our results suggest that policy intensity can be a powerful tool to guide residents to use electricity more efficiently.”

Take advantage of discounted APCs in open access week

Published 25 October, 2021

KeAi is proud to be an open access publisher and as part of open access week we are delighted to offer our authors a heavily discounted or full waiver of article publishing charges (APC) for the majority of the journals we publish. To take advantage of this offer, submit your paper for consideration between 25 and 31 October, 2021.

New NLP model improves stock market predictions

Published 22 October, 2021

A group of researchers at the Research Center for Social Computing and Information Retrieval at China’s Harbin Institute of Technology have constructed a model that can synthesise these multiple data sources and the various forms of data they contain. Study results, published in the KeAi journal AI Open, show that their model achieves a higher AUC (area under the precision-recall curve) score than existing models.

Peer Review Week 2021 – KeAi reviewers share their thoughts on this year’s theme ‘identity’

Published 20 September, 2021

At KeAi, we are enormously grateful to the tireless efforts of our reviewer community, who have not only helped us enhance the scope and quality of our existing journals, but also launch new titles. So, we asked them for their thoughts on reviewing and this year’s PRW identity theme.