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Scientists develop AI to predict the success of startup companies

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.

Enriched bicarbonate electrolytes show promise in combatting CO2 and the greenhouse effect

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.

Urine proteome provides potential biomarkers for early prediction of COVID-19 progression

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.

The crucial role of social media posts in tracking COVID-19 infection rates

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).

How nitrogen-doped fluorescent carbon dots are aiding the fight against disease

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.

Want to avoid high-altitude sicknesses? Acclimatising in a low-oxygen level tent can help

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).

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