Green solutions for blue waters: Using biomaterials to purify water from microplastics and nanoplastics

V Fakhri, A Hamzehlouy, AJ Dehchani, E Moradi… - Journal of Water …, 2024 - Elsevier
Microplastics (MPs) are increasingly recognized as significant environmental contaminants
due to their widespread presence in the atmosphere, soil, and, particularly, aquatic …

History of metal free g-C3N4 photocatalysts for hydrogen production: A comprehensive review

D Yue, SNM Raj, JV Kumar, MW Alam… - Diamond and Related …, 2024 - Elsevier
Graphitic carbon nitride (gC 3 N 4) photocatalysts are an excellent material for solar energy
conversion applications and environmental remediation. This review looks at the most …

Evaluation of machine learning models for predicting TiO2 photocatalytic degradation of air contaminants

MF Javed, MZ Shahab, U Asif, T Najeh, F Aslam… - Scientific Reports, 2024 - nature.com
The escalation of global urbanization and industrial expansion has resulted in an increase
in the emission of harmful substances into the atmosphere. Evaluating the effectiveness of …

Development of machine learning models for forecasting the strength of resilient modulus of subgrade soil: genetic and artificial neural network approaches

L Khawaja, U Asif, K Onyelowe, AF Al Asmari… - Scientific Reports, 2024 - nature.com
Accurately predicting the Modulus of Resilience (MR) of subgrade soils, which exhibit non-
linear stress–strain behaviors, is crucial for effective soil assessment. Traditional laboratory …

[HTML][HTML] Evaluation of the probiotic, anti-bacterial, anti-biofilm, and safety properties of Lacticaseibacillus paracasei B31-2

BA Behbahani, H Jooyandeh, M Taki, F Falah - Lwt, 2024 - Elsevier
Lacticaseibacillus paracasei is commonly present in the gut flora of healthy individuals and
in various fermented foods, such as yogurt, and other dairy items. This strain is frequently …

[HTML][HTML] Machine learning approaches for predicting shielding effectiveness of carbon fiber-reinforced mortars

A Husnain, M Iqbal, M Ashraf, MF Javed… - Case Studies in …, 2024 - Elsevier
The exponential growth of communication technologies and the ubiquitous use of electronic
devices raise concerns about unintended electromagnetic interference (EMI). Existing …

Study of two soliton and shock wave structures by weighted residual method and Hirota bilinear approach

J Zhang, J Manafian, S Raut, S Roy, KH Mahmoud… - Nonlinear …, 2024 - Springer
The dissipation effect in the viscous plasma is expressed in the current study by a Burgers
term. The Weighted Residual Method is used to produce a solitary type progressive wave …

Soft computing models for prediction of bentonite plastic concrete strength

WB Inqiad, MF Javed, K Onyelowe, MS Siddique… - Scientific Reports, 2024 - nature.com
Bentonite plastic concrete (BPC) is extensively used in the construction of water-tight
structures like cut-off walls in dams, etc., because it offers high plasticity, improved …

Light-Activated Nanofibers: Advances in Photo-Responsive Electrospun Polymer Technologies

E Sharif Bakhsh, M Tavakoli Dare… - Polymer-Plastics …, 2025 - Taylor & Francis
The field of photo-responsive electrospun polymer nanofibers represents a significant
advancement in materials science, providing innovative solutions across various domains …

Indirect estimation of resilient modulus (Mr) of subgrade soil: Gene expression programming vs multi expression programming

L Khawaja, MF Javed, U Asif, L Alkhattabi, B Ahmed… - Structures, 2024 - Elsevier
Accurate prediction of resilient modulus (MR) in compacted subgrade soil is crucial for
planning secure and environmentally friendly flexible pavement systems. This research …