Tetracycline (TC), a frequently used drug for human and veterinary therapeutics, is among
the most common antibiotic residues found in nature. Lack of advanced treatment …

The development of machine learning-based ensemble models for the prediction of complex
processes with non-linear nature (such as adsorption) has been remarkably advanced over …

Antibiotics as emerging pollutants have attracted extensive attention due to their ecotoxicity
and persistence in the environment. Adsorption of antibiotics on carbon-based materials …

Utilizing a new microwave-assisted method, CuCoFe 2 O 4@ Chitosan (Ch) was
synthesized as a very strong, magnetically separable nano-adsorbent. The magnetic …

Magnetic nanoparticle materials which could be used to remove tetracycline were confined
seriously due to their poor stability and unsatisfactory reusability. Here, we facilely prepared …

Developing an efficient, low-cost, and non-noble metal oxide-based nanohybrid material for
overall water splitting is a highly desirable approach to promote clean energy harnessing …

Novel application and comparison of intelligent models such as adaptive neuro-fuzzy
inference systems (ANFIS), artificial neural network (ANN), and response surface …

A novel porous nanocomposite composed of hydroxyapatite nanorods (HAP), a MIL-101
(Fe) metal–organic framework, and Fe3O4 nanoparticles was successfully fabricated in this …

Demand forecasting is a scientific and methodical assessment of future demand for a critical
product. The effective Demand Forecast Model (DFM) enables pharmaceutical companies to …

The present study targeted producing hydrochar from Liquorice root pulp employing the
catalytic/non-catalytic hydrothermal carbonization (HTC) method and evaluating its …