Cellulose-based beads for the adsorptive removal of wastewater effluents: a review

Environmental Chemistry Letters - Wastewater pollution is a major issue requiring advanced treatment methods such as nanotechnologies. In particular, nanocelluloses appear promising as adsorbents...     

Tensile,Thermal and Physical Properties of Washightonia Trunk Fibres/Pineapple Fibre Biophenolic Hybrid Composites

Journal of Polymers and the Environment - In this work, hybrid composites reinforced with Washightonia trunk fibres (GW)/Pineapple fibre (PALF) in bio-phenolic matrix were fabricated with...     

The antiproliferative and apoptotic potential of Clinacanthus nutans against human breast cancer cells through targeted apoptosis pathway

Environmental Science and Pollution Research - Clinacanthus nutans dichloromethane fraction (CN-Dcm) extract has previously been proven to suppress breast cancer (MCF7) cell proliferation. Despite...     

Lean,agile, resilient,and green human resource management: the impact on organizational innovation and organizational performance

Environmental Science and Pollution Research - There are four paradigms of lean, agile, resilient, and green (LARG) which can promote human resource culture to create novel ideas and increase...     

Non-conforming fibre-reinforced green polypropylene composite panels: a case study

Journal of Material Cycles and Waste Management - Coal Bottom Ash (CBA) is one of the byproducts of the coal combustion process in power plants that accumulates in landfills due to its porous,...     

Passive aerated in-vessel composting of food waste with the addition of Sabah ragi for campus sustainability: mass balance,dwarf crape jasmine growth and techno-economic study

Journal of Material Cycles and Waste Management - Composting is a sustainable solution on campus for waste management as it is essential for achieving the ideal circular economy. This study aims to...     

Analytical solutions of contaminant transport in homogeneous and isotropic aquifer in three-dimensional groundwater flow

Environmental Science and Pollution Research - Modeling three-dimensional contaminant transport released from arbitrary shape source geometries is useful in hydrological and environmental sciences....     

Feature selection approaches for predictive modelling of cadmium sources and pollution levels in water springs

The World Health Organization lists cadmium (Cd) as one of the top ten chemicals of public health concern. Cd is toxic at relatively low exposure levels and has acute and chronic effects on both health and the environment. In this study, we investigate a suite of data-driven methods that could assist decision-makers in estimating Cd levels in water springs, and in identifying polluting sources. Machine learning (ML) regression models were used to identify sources of contamination and predict Cd levels based on support vector machines and a variety of tree-based models, including Random Forests, M5Tree, CatBoost, and gradient boosting. Feature selection analysis revealed that heavy traffic and distance to a major power plant in the sampled area play a leading role in springs Cd contamination, together with precipitation levels and average of slopes of the closest waste dumps upstream to sampled springs. Our best performing ML model was the Adaboost regression tree using all the features (RMSE = 19.36, R^2 = 0.64). Our findings highlight the effectiveness of predictive data-driven modeling in addressing environmental challenges, particularly in high-risk areas with low resources.