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.
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.
Published 14 September, 2021
In a bid to identify which companies are more likely to succeed, researchers have developed machine-learning models trained on the historical performance of over 1 million companies. Their results, published in KeAi’s The Journal of Finance and Data Science, show that these models can predict the outcome of a company with up to 90% accuracy. This means that potentially 9 out of 10 companies are correctly assessed.
Published 01 September, 2021
CO2ER, the electrocatalytic reduction of carbon dioxide (CO2), offers an ideal route for mitigating the greenhouse effect and achieving green CO2 cycling. In recent years, most studies on CO2ER have focused on the intrinsic performance of the catalysts. While bicarbonate - an electrolyte or negatively-charged ion that is used by the body to help maintain its pH balance - is commonly used in CO2ER, a group of researchers from China set out to explore its role and behaviour in more detail.
Published 31 August, 2021
Improving early detection of COVID-19, along with predictions around which patients are likely to develop severe symptoms, is a high priority. In this study published in Urine, researchers from the China and the US used urine proteomic profiling to distinguish a healthy control group from COVID-19 patients. In addition, they were able to identify specific proteome features in the urine of patients that indicated whether they had mild or severe COVID-19.
Published 26 August, 2021
In a study published in the KeAi journal Data Science and Management, a group of researchers from China set out to assess the ability and applicability of using social media data to predict the development of COVID-19. Drawing on the existing Google Flu Trends (GFT) algorithm, they created a new, confirmed case prediction algorithm called Weibo COVID-19 Trends (WCT).
Published 23 August, 2021
The ability to reliably and accurately detect levels of iodide ion and curcumin is crucial in the fields of food and life sciences. For a study published in the KeAi journal Bioactive Materials, researchers from China and the US developed nitrogen-doped fluorescent carbon dots (NCDs) as a multi-mechanism detection tool for iodide ion and curcumin in complex biological and food samples.
Published 19 August, 2021
In a review published in the KeAi journal Sports Medicine and Health Science, a team of researchers from Austria and Switzerland examined recent study findings on the epidemiology and pathophysiology of high-altitude illnesses, along with options for prevention and treatment. These sicknesses include acute mountain sickness (AMS), high-altitude cerebral edema (HACE) and high-altitude pulmonary edema (HAPE).