Search results for ‘Journal of Future Foods ’
2021 Bioactive Materials Lifetime Achievement Award Winner: Prof. Changsheng Liu
Published 06 May, 2022
Increasing provincial college quota encourages academic high school enrollment
Published 16 July, 2023
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Special issue on immersive and intelligent hardware environment and applications
Published 23 September, 2024
Why digital transformation projects fail and how data architecture can help
Published 23 September, 2022
The study drew on detailed survey data. This was collected by Keystone Strategy and Microsoft via in-person interviews with senior technology executives at more than 100 Fortune 1000 corporations, with combined revenues of over $4 trillion. The survey covered a comprehensive set of technical frameworks and advanced tools developed by digital natives in data analytics and AI adoption.
Special issue on novel discovery in diverse watershed ecosystems
Published 18 January, 2022
Special Issue on Brain Aneurysms and Subarachnoid Hemorrhage
Published 19 April, 2024
Submission deadline: 31 December 2024
Shandong University Launches Healthcare and Rehabilitation to Drive Global Healthcare Innovation
Published 16 April, 2025
New, fully biodegradable cellulose membrane proves effective in oil-water separation
Published 22 June, 2022
A group of researchers at Shanxi Institute of Coal Chemistry (part of the Chinese Academy of Sciences - CAS) have developed a new and improved method using two different cellulose materials. Their process allows them to obtain membrane materials for oil-water separation that are ‘all cellulose’ (cellulose with two or more different crystal forms). Importantly, as they outline in their study results, published in the KeAi journal Green Energy & Environment, their membrane is friendly to the environment.
Scientists develop AI to predict the success of startup companies
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.
Special Issue on COVID-19, Air Pollution, Climate Change and Their interactions
Published 16 October, 2020
Bioactive Materials Best Paper Award 2023
Published 09 January, 2024