Learn more about eLife assessments Scientific progress depends on reliable and reproducible results. Progress can be accelerated when data are shared and re-analyzed to address new questions. Current ...
In 1989, Sir Tim revolutionized the online world. Today, in the era of misinformation, addictive algorithms, and extractive ...
Elon Musk announced that X’s algorithm will be fully AI-powered by November, aiming for personalised user experience. The ...
BACKGROUND: PYGM (muscle glycogen phosphorylase), the rate-limiting enzyme in glycogenolysis, plays an indispensable role in maintaining cardiac energy metabolism. However, the role of PYGM in the ...
Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.
The real risk isn't in running robust tests; it’s in wasting money or cutting high-performing channels based on misleading ...
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Data modeling and lab experiments could lead to energy-efficient paper manufacturing
Paper manufacturing is very energy-intensive, but there is great potential for improving energy efficiency. In a ...
Google’s State of AI-assisted Software Development Report 2025 reveals AI adoption increased, but trust in AI is still uneven ...
This work presents valuable new data on the role of D-Serine and how it competes with its stereoisomer L-Serine to influence metabolism. The work presents a variety of solid experimental data combined ...
As one of the important research methods for nanomaterial analysis, transmission electron microscopy (TEM) uses high-energy ...
Small Medium Enterprise, Tangible Resources, Product Innovation Performance, Innovation, SME’s Age Share and Cite: Bakar, L. (2025) The Age-Resource Dynamic and Product Innovation Performance. Open ...
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