To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...

Explore advances in protein imaging techniques and spatial proteomics. Learn how modern imaging tools reveal protein dynamics and organization in cells.

In what ways does chromatographic co-elution affect MS2 spectral quality, molecular networking, and the accuracy of ML models trained on MS2 data?

To read the first article of the series, where JEC Composites Magazine spoke with the consortium to describe the motivations behind r-LightBioCom and the foundations of its multi-disciplinary approach ...

Those that solve artificially simplified problems where quantum advantage is meaningless. Those that provide no genuine quantum advantage when all costs are properly accounted for. This critique is ...

AI-driven material development and new additive manufacturing technology are accelerating new aluminum alloy, battery, and material processing innovations.

Despite significant mathematical refinements, econometrics has shown the weaknesses of its logical underpinnings, primarily during economic turning points—financial crises, pandemics, and geopolitical ...

Modernizing biomanufacturing methods and reducing regulatory burdens are key landmarks on India’s roadmap for expanding biosimilars development.

Scientists have found a way to convert discarded shrimp shells into dense, plastic-like films and objects, a development that could redirect tons of seafood industry waste into a viable substitute for ...

Introduction Common mental health outcomes among children in conflict with the law in correctional facilities in Africa are an under-researched area with significant public health implications. This ...

AI-enhanced optical spectroscopy revolutionizes food quality monitoring with rapid, non-destructive analysis, ensuring safety and reducing waste in production.