Machine learning-assisted synthetic biology of cyanobacteria and microalgae

W Jin, F Wang, L Chen, W Zhang - Algal Research, 2025 - Elsevier
Cyanobacteria and microalgae have recently been utilized as autotrophic chassis for
microbial cell factories capable of converting light and CO₂ directly into high-value …

The need for smart microalgal bioprospecting

J Labara Tirado, A Herdean, PJ Ralph - Natural Products and …, 2025 - Springer
Microalgae's adaptability and resilience to Earth's diverse environments have evolved these
photosynthetic microorganisms into a biotechnological source of industrially relevant …

Quality control of naringenin-carbamazepine drug-drug cocrystal: Quantitative analytical method construction of ATR-FTIR and Raman combined with chemometrics

Y Xie, J Zhou, B Zhang, L Zhang, D Yang, S Yang… - Microchemical …, 2024 - Elsevier
Naringenin, commonly found in citrus fruits, is one of the active pharmaceutical ingredient
(API) in naringenin-carbamazepine drug-drug cocrystal (NR-CBZ). In the preparation of …

[HTML][HTML] Downhole Camera Runs Validate the Capability of Machine Learning Models to Accurately Predict Perforation Entry Hole Diameter

S Nashed, S Lnu, A Guezei, O Ejehu, R Moghanloo - Energies, 2024 - mdpi.com
In the field of oil and gas well perforation, it is imperative to accurately forecast the casing
entry hole diameter under full downhole conditions. Precise prediction of the casing entry …

Gravesoil derived postmortem interval using attenuated total reflectance-Fourier transform infrared spectroscopy and the influence of carrion-associated fabric.

P Watson, S Assi, TKR Senior - 2024 - chemrxiv.org
Establishing time elapsed for unattended death scenes is crucial in formulating a timeline of
events facilitating death investigations. However, traditional postmortem interval (PMI) …