In a study titled Recent Applications of Machine Learning Algorithms for Pesticide Analysis in Food Samples, published in the ...

As interest in essential oils (EOs) for their therapeutic, antibacterial, and antifungal properties continues to grow—driving demand for high-quality products in both medicinal and industrial ...

A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral analysis and SVM classification, the approach improves ...

The proteomics market is experiencing strong growth as demand rises for advanced tools that analyze protein structure, function, and interactions. Proteomics plays a critical role in understanding ...

Ammonia is an essential chemical used across many industries worldwide. Beyond its traditional role as a fertilizer, it is also a promising liquid hydrogen carrier and low-carbon fuel that could help ...

Owing to the chaotic and non-integrable nature of three-body dynamics, the conventional Keplerian elements are rendered inadequate for cataloging cislunar space objects. Currently, there has been a ...

Four Olympic athletes have been provisionally suspended after a re-analysis took place. The athletes in question took part in ...

Recently, chemical looping ammonia synthesis (CLAS) has emerged as a viable alternative method for ammonia production. Specifically, aluminium-oxide (Al (2) O (3) )-based chemical looping has shown ...

An interim analysis of the prospective BIOPSTAGE trial determined optimal PET thresholds for SUVmax and SUVratio that ...

Introduction Accurate preoperative assessment of lymph node metastasis (LNM) is a key determinant of treatment selection in early gastric cancer (EGC), particularly when choosing between endoscopic ...

This dual experimental-numerical approach provides a rare, holistic view of bonded joint performance under ballistic loading, ...