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The Science of the Total Environment|December 29, 2023
Pristine and modified biochar applications as multifunctional component towards sustainable future: Recent advances and new insightsFarah Amalina, Santhana Krishnan, A W Zularisam, et al.Environmental Research|September 20, 2021
The role of iron-based nanoparticles (Fe-NPs) on methanogenesis in anaerobic digestion (AD) performancePramod Jadhav, Zaied Bin Khalid, A W Zularisam, et al.The Science of the Total Environment|June 3, 2020
A comprehensive review on contaminants removal from pharmaceutical wastewater by electrocoagulation processB K Zaied, Mamunur Rashid, Mohd Nasrullah, et al.Chemosphere|March 27, 2022
Electrocoagulation treatment of raw palm oil mill effluent: Optimization process using high current applicationMohd Nasrullah, Sabah Ansar, Santhana Krishnan, et al.International Journal of Environmental Research and Public Health|March 10, 2022
Prognostic Factors for Bladder Cancer Patients in Malaysia: A Population-Based StudyMohd Nasrullah Nik Ab Kadir, Suhaily Mohd Hairon, Najib Majdi Yaacob, et al.International Journal of Environmental Research and Public Health|June 2, 2021
Survival and Characteristics of Bladder Cancer: Analysis of the Malaysian National Cancer RegistryMohd Nasrullah Nik Ab Kadir, Suhaily Mohd Hairon, Najib Majdi Yaacob, et al.The Science of the Total Environment|December 22, 2019
Co-digestion of palm oil mill effluent for enhanced biogas production in a solar assisted bioreactor: Supplementation with ammonium bicarbonateB K Zaied, Mohd Nasrullah, Md Nurul Islam Siddique, et al.Chemosphere|October 25, 2023
Characterisation of synthesised trimetallic nanoparticles and its influence on anaerobic digestion of palm oil mill effluentPramod Jadhav, Santhana Krishnan, Hesam Kamyab, et al.Chemosphere|May 4, 2021
The role of conductive nanoparticles in anaerobic digestion: Mechanism, current status and future perspectivesSmita S Kumar, Pooja Ghosh, Navish Kataria, et al.Obstetrics & Gynecology Science|May 29, 2025
Recent advances in applications of machine learning in cervical cancer research: a focus on prediction modelsSyed S Abrar, Seoparjoo Azmel Mohd Isa, Suhaily Mohd Hairon, et al.Pageof 2