Publications

Deng, S-H, Wang, C, Ngo, HH, Guo, W, Xi, B, Wang, X & Han, J 2024, 'Treatment of landfill leachate' in Environmental Pollution and Public Health, Elsevier, pp. 107-152.
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Fattah, IMR, Mofijur, M, Silitonga, AS, Kalam, MA, Mahlia, TMI & Ampah, JD 2024, 'Blending Low Carbon Fuels for Sustainable Transportation' in Reference Module in Earth Systems and Environmental Sciences, Elsevier.
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Feng, Y, Wu, D, Chen, X & Gao, W 2024, 'Machine learning aided stochastic free vibration analysis of functionally graded porous plates' in Machine Learning Aided Analysis, Design, and Additive Manufacturing of Functionally Graded Porous Composite Structures, Elsevier, pp. 293-311.
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Feng, Y, Wu, D, Chen, X & Gao, W 2024, 'Machine learning-aided stochastic static analysis of functionally graded porous plates' in Machine Learning Aided Analysis, Design, and Additive Manufacturing of Functionally Graded Porous Composite Structures, Elsevier, pp. 271-292.
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Mofijur, M, Hasan, MM, Fattah, IMR, Huang, Y & Shahriar, S 2024, 'Thermochemical conversion of microalgae into biofuels' in Waste Valorization for Bioenergy and Bioproducts, Elsevier, pp. 315-333.
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Ngo, HH, Feng, S, Guo, W, Zhang, S, Luo, G, Liu, Y, Lin, C & Bui, X-T 2024, 'Wastewater circular economy' in Environmental Pollution and Public Health, Elsevier, pp. 153-184.
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Zamri, MFMA, Bahru, R & Fattah, IMR 2024, 'Gas to liquids from biogas and landfill gases' in Waste Valorization for Bioenergy and Bioproducts, Elsevier, pp. 411-422.
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Abraham, MT, Satyam, N & Pradhan, B 2024, 'A novel approach for quantifying similarities between different debris flow sites using field investigations and numerical modelling', Terra Nova, vol. 36, no. 2, pp. 138-147.
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AbstractDebris flows are geomorphological processes that affect the landscape evolution process of any region. In this study, an integrated methodology is proposed to identify the chance of further debris flows and quantify the similarities between debris flow locations, materials and rheology, using field and laboratory investigations and remote sensing data. The method was tested for four failure‐triggered debris flow sites in the Western Ghats of India, using dimensionless parametric similarity values ranging from 0 to 1. The maximum parametric similarity was observed as 0.84 when comparing the flow accumulation values of Sites 3 and 4, and the maximum overall site similarity was 0.68. The calibrated rheological parameters of one site were found to be satisfactory in modelling the shape of debris flow at all other sites. The findings can be used to identify similar hotspots in the region and to simulate debris flows for quantitative hazard assessment.

Aditya, L, Vu, HP, Johir, MAH, Mao, S, Ansari, A, Fu, Q & Nghiem, LD 2024, 'Synthesizing cationic polymers and tuning their properties for microalgae harvesting', Science of The Total Environment, vol. 917, pp. 170423-170423.
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Aghajani, S, Wu, C, Li, Q & Fang, J 2024, 'Additively manufactured composite lattices: A state-of-the-art review on fabrications, architectures, constituent materials, mechanical properties, and future directions', Thin-Walled Structures, vol. 197, pp. 111539-111539.
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Ahmed, SF, Islam, N, Tasannum, N, Mehjabin, A, Momtahin, A, Chowdhury, AA, Almomani, F & Mofijur, M 2024, 'Microplastic removal and management strategies for wastewater treatment plants', Chemosphere, vol. 347, pp. 140648-140648.
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Discharging microplastics into the environment with treated wastewater is becoming a major concern around the world. Wastewater treatment plants (WWTPs) release microplastics into terrestrial and aquatic habitats, mostly from textile, laundry, and cosmetic industries. Despite extensive research on microplastics in the environment, their removal, and WWTP management strategies, highlighting their environmental effects, little is known about microplastics' fate and behaviour during various treatment processes. Microplastics interact with treatment technologies differently due to their diverse physical and chemical characteristics, resulting in varying removal efficiency. Microplastics removed from WWTPs may accumulate in soil and harm terrestrial ecosystems. Few studies have examined the cost, energy use, and trade-offs of large-scale implementation of modern treatment methods for the removal of microplastics. To safeguard aquatic and terrestrial habitats from microplastics' contamination, focused and efficient management techniques must bridge these knowledge gaps. This review summarizes microplastic detection, collection, removal and management strategies. A compilation of treatment process studies on microplastics' removal efficiency and their destiny and transit paths shows recent improvement. Bioremediation, membrane bioreactor (MBR), electrocoagulation, sol-gel technique, flotation, enhanced filtering, and AOPs are evaluated for microplastic removal. The fate and behaviour of microplastics in WWTPs suggest they may be secondary suppliers of microplastics to receiving ecosystems. Innovative microplastic removal strategies and technologies such as nanoparticles, microorganism-based remediation, and tertiary treatment raise issues. These new WWTP technologies are examined for feasibility, limitations, and implementation issues. Pretreatment modifies microplastic size, adsorption potential, and surface morphology to remove microplastics from WWTPs. Memb...

Ahmed, SF, Kumar, PS, Ahmed, B, Mehnaz, T, Shafiullah, GM, Nguyen, VN, Duong, XQ, Mofijur, M, Badruddin, IA & Kamangar, S 2024, 'Carbon-based nanomaterials: Characteristics, dimensions, advances and challenges in enhancing photocatalytic hydrogen production', International Journal of Hydrogen Energy, vol. 52, pp. 424-442.
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Akter, MM, Surovy, IZ, Sultana, N, Faruk, MO, Gilroyed, BH, Tijing, L, Arman, Didar-ul-Alam, M, Shon, HK, Nam, SY & Kabir, MM 2024, 'Techno-economics and environmental sustainability of agricultural biomass-based energy potential', Applied Energy, vol. 359, pp. 122662-122662.
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Algayyim, SJM, Saleh, K, Wandel, AP, Fattah, IMR, Yusaf, T & Alrazen, HA 2024, 'Influence of natural gas and hydrogen properties on internal combustion engine performance, combustion, and emissions: A review', Fuel, vol. 362, pp. 130844-130844.
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Alnahhal, MF, Hamdan, A, Hajimohammadi, A, Castel, A & Kim, T 2024, 'Hydrothermal synthesis of sodium silicate from rice husk ash: Effect of synthesis on silicate structure and transport properties of alkali-activated concrete', Cement and Concrete Research, vol. 178, pp. 107461-107461.
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Al-Zainati, N, Ibrar, I, Altaee, A, Subbiah, S & Zhou, J 2024, 'Multiple staging of pressure retarded osmosis: Impact on the energy generation', Desalination, vol. 573, pp. 117199-117199.
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Arango, E, Jiménez, P, Nogal, M, Sousa, HS, Stewart, MG & Matos, JC 2024, 'Enhancing infrastructure resilience in wildfire management to face extreme events: Insights from the Iberian Peninsula', Climate Risk Management, vol. 44, pp. 100595-100595.
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Arango, E, Nogal, M, Sousa, HS, Matos, JC & Stewart, MG 2024, 'Improving societal resilience through a GIS-based approach to manage road transport networks under wildfire hazards', Transportation Engineering, vol. 15, pp. 100219-100219.
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Arsad, SR, Arsad, AZ, Ker, PJ, Hannan, MA, Tang, SGH, Goh, SM & Mahlia, TMI 2024, 'Recent advancement in water electrolysis for hydrogen production: A comprehensive bibliometric analysis and technology updates', International Journal of Hydrogen Energy, vol. 60, pp. 780-801.
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Arsad, SR, Ker, PJ, Hannan, MA, Tang, SGH, R S, N, Chau, CF & Mahlia, TMI 2024, 'Patent landscape review of hydrogen production methods: Assessing technological updates and innovations', International Journal of Hydrogen Energy, vol. 50, pp. 447-472.
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Atapattu, S, Indraratna, B & Rujikiatkamjorn, C 2024, 'Influence of periodic cyclic loading and rest period on soft clay consolidation', Proceedings of the Institution of Civil Engineers - Ground Improvement, vol. 177, no. 1, pp. 30-43.
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Railways are often subjected to periodic cyclic loading and intermittent rest periods. Excessive consolidation settlements can affect the performance of railway tracks built on the soft subgrade. The consolidation behaviour under railway loading conditions with rest periods has not been evaluated thoroughly. In this study, laboratory testing was conducted to investigate the influence of periodic cyclic loading and rest periods on the consolidation of Holocene soft clay from Ballina NSW. The specimens were subjected to a loading frequency of 1 Hz for 54 h with multiple rest periods. The recorded settlements and excess pore-water pressures (EPWP) during cyclic consolidation were employed to determine the corresponding hydraulic gradient, void ratio, resilient (dynamic) modulus and damping ratio. The settlement and accumulated EPWP can be observed during cyclic loading. In contrast, settlements do not occur within a rest period, despite the rapidly dissipating EPWP at the start of a given rest period. The maximum EPWP and settlements decrease as the number of resting period increases. An analytical model capturing the effect of cyclic loading and rest period is proposed where the unique relationships between the hydraulic gradient and the flow rate are established.

Atgur, V, Manavendra, G, Rao, BN, Veza, I & Fattah, IMR 2024, 'Thermal and combustion characteristics of honge, jatropha, and honge‐jatropha mixed biodiesels', Environmental Progress & Sustainable Energy, vol. 43, no. 1.
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AbstractThermal characteristics of biodiesels are useful in system design, modeling, and operation. Such investigations are extensively being carried out in combustors, engine, and process industries. This article examines the thermal characteristics of jatropha (Jatropha curcas), honge (Pongamia pinnata), and their equal mixing from thermogravitometry and differential scanning calorimetry (TG‐DSC) curves for the specific 10°C/min heating rate under atmospheric air. Fuel properties are measured following ASTM standards to compare with diesel properties. Each experiment was repeated three times, and the properties showed insignificant scatter. The average properties of the repeated tests are presented. Two phases of decomposition were observed for diesel, whereas three (viz., devolatilization of aqueous fractions, combustion of methyl esters, and combustion of carbonaceous residues) in biodiesels. Jatropha oil methyl ester (JOME) is thermally stable compared to honge oil methyl ester (HOME). Mixed biodiesel (JOME+HOME) is prone to oxidation due to the high content of oleic and linoleic acids. Recorded onset and offset temperatures of mixed biodiesel are low compared to pure biodiesel. Mixed biodiesel exhibited high volatility resembling diesel characteristics. It exhibited an enthalpy of 240 J/g, whereas the enthalpy of diesel, jatropha, and honge exhibited enthalpies of 130, 321, and 570 J/g, respectively. The combustion index (S) of diesel, jatropha, honge, and mixed biodiesel was 41.6, 82.8, 77.74, and 64.6, respectively. Mixed biodiesel reduces the intensity of combustion (Hf), promising better combustion characteristics. Thus, mixed biodiesel shows the potential of an efficient alternative energy source.

Athuraliya, S, Indraratna, B, Medawela, S, Rowe, RK & Thamwattana, N 2024, 'Modelling biogeochemical clogging affecting piezometers in acid sulfate soil terrain', Canadian Geotechnical Journal, vol. 61, no. 1, pp. 149-164.
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This study offers an analytical solution for radial consolidation that captures the biogeochemical clogging effect in acid sulfate soils. Field sites and personal communication with industry practitioners have provided evidence of piezometers exhibiting retarded pore pressure readings that do not follow conventional soil consolidation and seepage principles when installed in coastal acidic floodplains. This retarded response together with a variation in pH, ion concentrations, and piezometric heads provided evidence of clogging at and around the piezometers. This paper uses the proposed biogeochemical clogging model, which is an analytically derived system of equations to estimate the excess pore water pressure dissipation of piezometers installed in clogging-prone acid sulfate soils. The inclusion of the total porosity reduction attributed to biological and geochemical clogging improves the predictions of the retarded dissipation of excess pore pressure, especially after about 1 year. This method is validated for two previously identified acidic field sites in coastal Australia, where piezometers measured a very slow rate of dissipation. It is concluded that this model has potential to accurately monitor the performance of critical infrastructure, such as dams and embankment foundations built on acidic terrain.

Baral, B, Altaee, A, Simeonidis, K & Samal, AK 2024, 'Editorial: Shape and size dependent nanostructures for environmental applications', Frontiers in Chemistry, vol. 12.
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Barua, PD, Vicnesh, J, Lih, OS, Palmer, EE, Yamakawa, T, Kobayashi, M & Acharya, UR 2024, 'Artificial intelligence assisted tools for the detection of anxiety and depression leading to suicidal ideation in adolescents: a review', Cognitive Neurodynamics, vol. 18, no. 1, pp. 1-22.
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Baygin, M, Barua, PD, Dogan, S, Tuncer, T, Hong, TJ, March, S, Tan, R-S, Molinari, F & Acharya, UR 2024, 'Automated anxiety detection using probabilistic binary pattern with ECG signals', Computer Methods and Programs in Biomedicine, vol. 247, pp. 108076-108076.
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Canales, M, Castilla-Rho, J, Rojas, R, Vicuña, S & Ball, J 2024, 'Agent-based models of groundwater systems: A review of an emerging approach to simulate the interactions between groundwater and society', Environmental Modelling & Software, vol. 175, pp. 105980-105980.
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Chen, B, Li, F, Lin, Y, Yang, L, Wei, W, Ni, B-J & Chen, X 2024, 'Degradation of Chloroquine by Ammonia-Oxidizing Bacteria: Performance, Mechanisms, and Associated Impact on N₂O Production', Environmental Science & Technology, vol. 58, no. 10, pp. 4662-4669.
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Chen, K, He, X, Liang, F & Sheng, D 2024, 'Influences of ink-bottle effect evolution on water retention hysteresis of unsaturated soils: An experimental investigation', Engineering Geology, vol. 330, pp. 107409-107409.
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Chen, Y, Ren, L, Li, X & Zhou, JL 2024, 'Competitive adsorption and bioaccumulation of sulfamethoxazole and roxithromycin by sediment and zebrafish (Danio rerio) during individual and combined exposure in water', Journal of Hazardous Materials, vol. 464, pp. 132894-132894.
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Chen, Z, Wei, W, Chen, X, Liu, Y, Shen, Y & Ni, B-J 2024, 'Upcycling of plastic wastes for hydrogen production: Advances and perspectives', Renewable and Sustainable Energy Reviews, vol. 195, pp. 114333-114333.
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Chen, Z, Zuo, W, Zhou, K, Li, Q, Yi, Z & Huang, Y 2024, 'Numerical investigation on the performance enhancement of PEMFC with gradient sinusoidal-wave fins in cathode channel', Energy, vol. 288, pp. 129894-129894.
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Chenrayan, V, Kanaginahal, G, Shahapurkar, K, Soudagar, MEM, Fouad, Y & Kalam, MA 2024, 'Analytical modeling and experimental estimation of the dynamic mechanical characteristics of green composite: Caesalpinia decapetala seed reinforcement', Polymer Engineering & Science, vol. 64, no. 3, pp. 1096-1109.
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AbstractThe emerging need for a sustainable environment prompts the research community to develop functional materials with bio‐ and organic waste. This research advocates biodegradable waste management and its performance evaluation. The involvement of Caesalpinia decapetala (CD) as a potential reinforcement in the epoxy matrix and its analytical evaluation of thermal stability are novel ideas for disposing of bio and organic waste. Three different variants (10, 20, and 30 wt%) of CD seed particles are used to develop the epoxy composite, and further, their influence on dynamic mechanical characteristics such as damping type, loss modulus, and storage modulus has been investigated. The results corroborate that the higher CD seed content (30 wt%) in the epoxy matrix enhances the storage modulus, loss modulus, and damping on a scale of 1.14, 1.25, and 1.07 times that of the neat epoxy matrix. The reason behind the improved dynamic properties has been validated through theoretical modeling. A substantial increment in the degree of entanglement and activation energy in the band of 8.33 × 10−3 moles/m3 and 20.201 kJ/mol, respectively, in comparison with neat epoxy, is considered to be good authentication for the thermal stability of the CD 30 specimen. The analytical prediction of storage modulus is executed with five different models, whereas damping behavior is executed with two different models. The analytically estimated results are matched with the experimental ones, and we conclude that they are in fair agreement with the experimental findings.

Chi, K, Li, J & Wu, C 2024, 'Behaviour of reinforced concrete panels under impact loading after cryogenic freeze-thaw cycles', Construction and Building Materials, vol. 414, pp. 135058-135058.
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Cong, J, He, M, Jang, JS, Huang, J, Privat, K, Chen, Y, Li, J, Yang, L, Green, MA, Kim, JH, Cairney, JM & Hao, X 2024, 'Unveiling the Role of Ge in CZTSSe Solar Cells by Advanced Micro‐To‐Atom Scale Characterizations', Advanced Science, p. e2305938.
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AbstractKesterite is an earth‐abundant energy material with high predicted power conversion efficiency, making it a sustainable and promising option for photovoltaics. However, a large open circuit voltage Voc deficit due to non‐radiative recombination at intrinsic defects remains a major hurdle, limiting device performance. Incorporating Ge into the kesterite structure emerges as an effective approach for enhancing performance by manipulating defects and morphology. Herein, how different amounts of Ge affect the kesterite growth pathways through the combination of advanced microscopy characterization techniques are systematically investigated. The results demonstrate the significance of incorporating Ge during the selenization process of the CZTSSe thin film. At high temperature, the Ge incorporation effectively delays the selenization process due to the formation of a ZnSe layer on top of the metal alloys through decomposition of the Cu‐Zn alloy and formation of Cu‐Sn alloy, subsequently forming of Cu‐Sn‐Se phase. Such an effect is compounded by more Ge incorporation that further postpones kesterite formation. Furthermore, introducing Ge mitigates detrimental “horizontal” grain boundaries by increasing the grain size on upper layer. The Ge incorporation strategy discussed in this study holds great promise for improving device performance and grain quality in CZTSSe and other polycrystalline chalcogenide solar cells.

Dai, S, He, X, Tong, C, Gao, F, Zhang, S & Sheng, D 2024, 'Stability of sandy soils against internal erosion under cyclic loading and quantitatively examination of the composition and origin of eroded particles', Canadian Geotechnical Journal, vol. 61, no. 4, pp. 732-747.
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Internal erosion refers to the movement of fine particles within soil framework due to subsurface water seepage. Existing criteria for assessing internal erosion usually are based on static loading, and the effect of cyclic load is not considered. Additionally, there are limited studies to examine the particle-size distribution and origin of eroded fine particles. This study presents an experimental investigation that examines the impact of cyclic loading on internal stability through a series of seepage tests. The composition and origin of lost particles are quantitatively studied using particle staining and image recognition techniques. With increasing hydraulic gradient, particle erosion progresses from top layer to bottom layer, with a gradual increase in the maximum particle size of eroded particles from each layer. After significant loss of particles, the specimens reach a state of transient equilibrium, resulting in a gradual slowdown of both particle loss rate and average flow velocity. The results indicate that cyclic loading promotes massive particle loss and causes erosion failure of specimens that are considered stable according to existing criteria. The reason is that under cyclic loading, local hydraulic gradients is oscillating, and a larger than average hydraulic gradient may occur, which is responsible for the internal instability. The analysis suggests that existing criteria can provide a reasonable assessment of the relative stabilities of specimens under static loads but fail to capture the stabilities under cyclic loading conditions.

Dang, KB, Nguyen, CQ, Tran, QC, Nguyen, H, Nguyen, TT, Nguyen, DA, Tran, TH, Bui, PT, Giang, TL, Nguyen, DA, Lenh, TA, Ngo, VL, Yasir, M, Nguyen, TT & Ngo, HH 2024, 'Comparison between U-shaped structural deep learning models to detect landslide traces', Science of The Total Environment, vol. 912, pp. 169113-169113.
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Landslides endanger lives and public infrastructure in mountainous areas. Monitoring landslide traces in real-time is difficult for scientists, sometimes costly and risky because of the harsh terrain and instability. Nowadays, modern technology may be able to identify landslide-prone locations and inform locals for hours or days when the weather worsens. This study aims to propose indicators to detect landslide traces on the fields and remote sensing images; build deep learning (DL) models to identify landslides from Sentinel-2 images automatically; and apply DL-trained models to detect this natural hazard in some particular areas of Vietnam. Nine DL models were trained based on three U-shaped architectures, including U-Net, U2-Net, and U-Net3+, and three options of input sizes. The multi-temporal Sentinel-2 images were chosen as input data for training all models. As a result, the U-Net, using an input image size of 32 × 32 and a performance of 97 % with a loss function of 0.01, can detect typical landslide traces in Vietnam. Meanwhile, the U-Net (64 × 64) can detect more considerable landslide traces. Based on multi-temporal remote sensing data, a different case study in Vietnam was chosen to see landslide traces over time based on the trained U-Net (32 × 32) model. The trained model allows mountain managers to track landslide occurrences during wet seasons. Thus, landslide incidents distant from residential areas may be discovered early to warn of flash floods.

Das, A, Im, KS, Kabir, MM, Shon, HK & Nam, SY 2024, 'Polybenzimidazole (PBI)-based membranes for fuel cell, water electrolysis and desalination', Desalination, vol. 579, pp. 117500-117500.
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Deshpande, NM, Gite, S, Pradhan, B, Alamri, A & Lee, C-W 2024, 'A New Method for Diagnosis of Leukemia Utilizing a Hybrid DL-ML Approach for Binary and Multi-Class Classification on a Limited-Sized Database', Computer Modeling in Engineering & Sciences, vol. 139, no. 1, pp. 593-631.
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Devi, A, Palmer, EE, Ganguly, R & Barua, PD 2024, 'Teachers’ Educational Experiences and Preparedness in Teaching Students with Autism', The Asia-Pacific Education Researcher, vol. 33, no. 1, pp. 71-81.
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Ding, W, Fan, X, Zhou, X, Liu, R, Chen, C, Jin, W, Sun, J, Li, X, Jiang, G & Liu, H 2024, 'Performance and mechanisms of zero valent iron enhancing short-chain fatty acids production during thermophilic anaerobic fermentation of waste activated sludge', Science of The Total Environment, vol. 912, pp. 169025-169025.
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Doan, S & Fatahi, B 2024, 'Simplified analytical solution for time dependent deformation of soft soil improved with pervious column considering load transfer between column and soil', Computers and Geotechnics, vol. 166, pp. 105988-105988.
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Dogan, A, Barua, PD, Baygin, M, Tuncer, T, Dogan, S, Yaman, O, Dogru, AH & Acharya, RU 2024, 'Automated accurate emotion classification using Clefia pattern-based features with EEG signals', International Journal of Healthcare Management, vol. 17, no. 1, pp. 32-45.
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Dogan, S, Barua, PD, Tuncer, T & Acharya, UR 2024, 'An accurate hypertension detection model based on a new odd-even pattern using ballistocardiograph signals', Engineering Applications of Artificial Intelligence, vol. 133, pp. 108306-108306.
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Dong, L, Yang, Y, Liu, Z, Yang, T, Xue, C, Shao, R & Wu, C 2024, 'Effect of chloride ion migration behaviour on the microstructure and mechanical properties of ultra-high performance concrete: A review', Journal of Building Engineering, vol. 82, pp. 108233-108233.
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Dong, T, Ai, J, Zong, Y, Zhang, Y, Li, L, Zhou, H, Peng, S, He, H, Zhang, Z & Wang, Q 2024, 'Novel multiplexed alkali enzyme lysis coupled with EDTA pretreatment for RNA virus extraction from wastewater sludge: Optimization, recovery, and detection', Journal of Environmental Management, vol. 352, pp. 120102-120102.
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Erten, M, Aydemir, E, Barua, PD, Baygin, M, Dogan, S, Tuncer, T, Tan, R-S, Hafeez-Baig, A & Rajendra Acharya, U 2024, 'Novel tiny textural motif pattern-based RNA virus protein sequence classification model', Expert Systems with Applications, vol. 242, pp. 122781-122781.
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Fallahpoor, M, Chakraborty, S, Pradhan, B, Faust, O, Barua, PD, Chegeni, H & Acharya, R 2024, 'Deep learning techniques in PET/CT imaging: A comprehensive review from sinogram to image space', Computer Methods and Programs in Biomedicine, vol. 243, pp. 107880-107880.
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Farooq, MA & Nimbalkar, S 2024, 'Monotonic and cyclic triaxial testing of untreated and polyurethane-treated soil and soil–rubber mixtures', Acta Geotechnica, vol. 19, no. 2, pp. 605-630.
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AbstractThe present research focuses on developing alternate sustainable base materials for a high-speed slab track. In this study, a series of monotonic triaxial, cyclic triaxial and permeability tests were conducted on four types of materials, viz. mix-A (gravel soil), mix-B (soil mixed with rubber), mix-C (polyurethane foam adhesive (PFA)-treated soil), and mix-D (PFA-treated soil–rubber mixture). The influence of cyclic loading frequency, effective confining pressure, drainage condition and relative density on the deformation, excess pore water pressure, resilient modulus and damping ratio of these different mixes is evaluated. The monotonic triaxial test results indicate that the PFA treatment of mix-A and mix-B increased their shear strength and critical state strength. In contrast, incorporating rubber into mix-A and mix-C helped enhance their ductility. The cyclic triaxial test results show that the PFA treatment of mix-A and mix-B significantly reduced the magnitude of deformation and generation of excess pore water pressure, which caused these untreated mixes to fail prematurely under lower confinement to which a typical base layer is subjected. The influence of cyclic loading frequency and effective confining pressure on the material's response differed for untreated and treated soil. The permeability test results indicate good drainage for mix-D comparable to mix-A.

Farooq, MA & Nimbalkar, S 2024, 'Static and cyclic performance of polyurethane foam adhesive bound soil–rubber mixtures under drained conditions', Acta Geotechnica, vol. 19, no. 2, pp. 561-589.
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AbstractThe major drawbacks of a railway track include noise, vibration, and aggravated track degradation. Resilient mats and asphalt have been increasingly used in recent years to mitigate this noise and vibration. However, these materials are quite expensive. Conventional asphalt is very stiff and brittle, making it more prone to cracking. The present work aims to develop a novel material that can be used as a base layer in ballasted and slab tracks. The current research proposes a sustainable and resilient base course layer comprising ground rubber (GR) and polyurethane foam adhesive (PFA). In this study, the performance of GR embedded in the sand is investigated. The use of PFA-treated sand with and without GR is then explored. The optimum dosage of PFA for soil and GR for treated and untreated soil is recommended based on static direct simple shear (SDSS) and cyclic direct simple shear (CDSS) tests. SDSS tests were performed to evaluate the monotonic performance of all mixtures. CDSS tests were performed to assess the long-term performance of these different mixes under repeated cyclic loading (50,000 load cycles) and varying cyclic shear stress amplitude. It is shown that PFA helps reduce the settlement and enhance soil shear strength, while GR increases the damping ratio of the soil. The optimum dosage of PFA is recommended 10%. The optimum GR content for untreated and PFA-treated soil is recommended 5 and 10%, respectively.

Fatahi, B 2024, 'Uncertainty, modeling, and decision making in geotechnics Uncertainty, modeling, and decision making in geotechnics , edited by Kok-Kwang Phoon, Takayuki Shuku, and Jianye Ching, Boca Raton, CRC Press, 2024, 502 pp., ISBN: 978-1-032-36749-1 (hbk), ISBN: 978-1-032-36750-7 (pbk), ISBN: 978-1-003-33358-6 (ebk), $315 hardback, doi:10.1201/9781003333586', Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards, vol. 18, no. 1, pp. 314-316.
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Feng, S, Liu, F, Zhu, S, Xu, Z, Qin, L, Feng, P, Wang, Z, Chen, H, Guo, W & Hao Ngo, H 2024, 'Role of hydraulic retention time in integration of microalgae and activated sludge process for nutrient recycle from diluted dairy liquid digestate', Chemical Engineering Journal, vol. 484, pp. 149538-149538.
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Feng, Y, Alamdari, MM, Wu, D, Luo, Z, Ruan, D, Egbelakin, T, Chen, X & Gao, W 2024, 'Virtual modelling aided safety assessment for ductile structures against high-velocity impact', Engineering Structures, vol. 301, pp. 117373-117373.
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Gao, X, Xu, Z, Shi, T, Qi, C, Nghiem, LD, Li, G & Luo, W 2024, 'Role of Lignocellulosic Biomass Composition to Regulate Microbial Mutualism for Organic Mineralization and Humification during Digestate Composting', ACS ES&T Engineering, vol. 4, no. 4, pp. 771-782.
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Gong, C, Lin, W, Ding, X, Liu, X, He, X, Nan, J, Li, G, Ma, J, Hao Ngo, H & Ding, A 2024, 'A three-stage process of Mn(VII)-Fe(III)/PDS system for enhancing sludge dewaterability: Effective driving of Fe(II)/Fe(III) cycle and adequate assurance of ROS', Separation and Purification Technology, vol. 330, pp. 125377-125377.
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Gudigar, A, Kadri, NA, Raghavendra, U, Samanth, J, Maithri, M, Inamdar, MA, Prabhu, MA, Hegde, A, Salvi, M, Yeong, CH, Barua, PD, Molinari, F & Acharya, UR 2024, 'Automatic identification of hypertension and assessment of its secondary effects using artificial intelligence: A systematic review (2013–2023)', Computers in Biology and Medicine, vol. 172, pp. 108207-108207.
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Guleria, S, Chawla, P, Relhan, A, Kumar, A, Bhasin, A & Zhou, JL 2024, 'Antibacterial and photocatalytic potential of bioactive compounds extracted from freshwater microalgae species (Spirogyra and Ocillatoria): A comparative analysis', Science of The Total Environment, vol. 912, pp. 169224-169224.
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Gulied, M, Zavahir, S, Elmakki, T, Park, H, Gago, GH, Shon, HK & Han, DS 2024, 'Efficient lithium recovery from simulated brine using a hybrid system: Direct contact membrane distillation (DCMD) and electrically switched ion exchange (ESIX)', Desalination, vol. 572, pp. 117127-117127.
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Seawater reverse osmosis (SWRO) brine is a readily available resource hub in many countries, fulfilling the country's freshwater need by SWRO, yet lower in a concentration of high-demand elements like Li. This study outlines developing a novel hybrid system that combines direct contact membrane distillation (DCMD) and electrically switched ion exchange (ESIX) to facilitate simultaneous SWRO brine enrichment followed by selective Li recovery. The DCMD process concentrates the SWRO brine utilizing electrospun nanofiber membranes (ENMs) composed of polyvinylidene fluoride (PVDF). Incorporating reduced graphene oxide (rGO) nanoparticles augments the morphological, thermal, and mechanical stability of the PVDF ENMs. The water contact angle (WCA) of the 1-rGO/PVDF ENM stands at 142.08°, a testament to an enhanced hydrophobic property which resulted in a 12 % freshwater recovery from simulated SWRO brine and a 2.4-fold increase in Li+ concentration. The durability of the 1-rGO/PVDF ENM is evident in its minimal 11 % reduction in WCA after 15 h of brine concentration. In the context of hybrid operation, a Li-selective LiAlO2 electrode, coupled with an activated carbon counter electrode, demonstrated remarkable Li recovery for Li capture solutions enriched by the rGO-PVDF membrane in the DCMD phase. Compared to the Li concentration in the DCMD feed, sequential Li capture and release cycles recovered 91.8 % of Li, thereby underlining the critical role of the hybrid mode operation in concentrating Li from simulated brine solutions.

Habaraduwa Peellage, W, Fatahi, B & Rasekh, H 2024, 'Stiffness and damping characteristics of jointed rocks under cyclic triaxial loading subjected to prolonged cyclic loading', International Journal of Fatigue, vol. 181, pp. 108121-108121.
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Haddad, H, Fatahi, B, Khabbaz, H, Hsi, J & Li, I 2024, 'Effects of stress history on compressibility characteristics of undisturbed landfill waste material', Construction and Building Materials, vol. 422, pp. 135725-135725.
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Hamdi, FM, Altaee, A, Alsaka, L, Ibrar, I, AL-Ejji, M, Zhou, J, Samal, AK & Hawari, AH 2024, 'Iron slag/activated carbon-electrokinetic system with anolyte recycling for single and mixture heavy metals remediation', Science of The Total Environment, pp. 172516-172516.
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Hasan, MM, Rasul, MG, Jahirul, MI & Mofijur, M 2024, 'Fuelling the future: Unleashing energy and exergy efficiency from municipal green waste pyrolysis', Fuel, vol. 357, pp. 129815-129815.
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Hassani, S, Dackermann, U, Mousavi, M & Li, J 2024, 'A systematic review of data fusion techniques for optimized structural health monitoring', Information Fusion, vol. 103, pp. 102136-102136.
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Hassani, S, Dackermann, U, Mousavi, M & Li, J 2024, 'Enhanced damage detection for noisy input signals using improved reptile search algorithm and data analytics techniques', Computers & Structures, vol. 296, pp. 107293-107293.
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He, B, Jahed Armaghani, D, Hin Lai, S, Samui, P & Tonnizam Mohamad, E 2024, 'Applying data augmentation technique on blast-induced overbreak prediction: Resolving the problem of data shortage and data imbalance', Expert Systems with Applications, vol. 237, pp. 121616-121616.
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Hou, J, Zhu, Y, Liu, J, Lin, L, Zheng, M, Yang, L, Wei, W, Ni, B-J & Chen, X 2024, 'Competitive enrichment of comammox Nitrospira in floccular sludge', Water Research, vol. 251, pp. 121151-121151.
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Hua, H, Zahmatkesh, S, Osman, H, Tariq, A & Zhou, JL 2024, 'Effects of hydraulic retention time and cultivation on nutrients removal and biomass production in wastewater by membrane photobioreactor: Modeling and optimization by machine learning and response surface methodology', Chemosphere, pp. 141394-141394.
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Hussain, I, Yaqub, M, Mortazavi, M, Ehsan, MA & Hussain, M 2024, 'Study of fire-damaged circular RC columns repaired using composite confinement techniques', Proceedings of the Institution of Civil Engineers - Structures and Buildings, vol. 177, no. 3, pp. 222-234.
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Numerical and regression modelling of 21 undamaged, fire-damaged and repaired fire-damaged circular reinforced concrete (RC) columns was undertaken. The columns were exposed to temperatures of 300°C, 500°C and 900°C and tested for axial residual capacity. It was found that the concrete lost strength after exposure to a temperature of 300°C or above. Fire-damaged columns were then repaired using various composite confinement techniques. Strength was regained when carbon-fibre-reinforced polymer (CFRP) confinement was applied to the fire-damaged columns but it also increased the deformation and thus reduced the stiffness, which is undesirable. As an alternative, steel wire mesh, filled with cement–sand mortar and wrapped with CFRP was employed. A numerical model to predict the residual capacity of these columns was developed. The development of numerical techniques, including material properties, geometry, elements, loading, boundary conditions and contact algorithms for undamaged, fire-damaged and repaired fire-damaged columns is reviewed and summarised. Analytical equations were developed using linear, multiple and quadratic regression modelling. The results obtained using the proposed model and regression equations showed that these models offer a better alternative to experimental testing for the prediction of the post-fire performance of damaged and repaired RC columns.

Hwang, Y-S, Um, J-S, Pradhan, B, Choudhury, T & Schlueter, S 2024, 'How does ChatGPT evaluate the value of spatial information in the 4th industrial revolution?', Spatial Information Research, vol. 32, no. 2, pp. 187-194.
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AbstractChat Generative Pre-trained Transformer (ChatGPT), developed by OpenAI, is a prominent AI model capable of understanding and generating human-like text based on input. Since terms and concepts of spatial information are contextual, the applications of ChatGPT on spatial information disciplines can be biased by the perceptions and perspectives of ChatGPT towards spatial information. Therefore, a thorough understanding of the real magnitude and level of comprehension of spatial information by ChatGPT is essential before exploring its potential applications in spatial information disciplines. This article aims to investigate how ChatGPT evaluates spatial information and its potential contributions to 4th Industrial Revolution (Industry 4.0). ChatGPT has summarized a notable perspective on evaluating and utilizing spatial information in the context of the Industry 4.0. The result of this study shows that ChatGPT has a good understanding on contextual concepts related to spatial information. However, it exhibits potential biases and challenges, as its responses lean towards the technological and analytical aspects. The results provide a crucial understanding on how to leverage ChatGPT’s benefits to the fullest while recognizing its constraints, with the aim to enhance the efficacy from the perspective of applications linked to spatial information.

Ijaz Malik, MA, Mujtaba, MA, Kalam, MA, Silitonga, AS & Ikram, A 2024, 'Recent advances in hydrogen supplementation to promote biomass fuels for reducing greenhouse gases', International Journal of Hydrogen Energy, vol. 49, pp. 463-487.
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Energy security is the foremost concern for a sustainable environment. To make a sustainable environment, biomass waste products like biomass oil and biofuels must be efficiently burned. As millions of tons of waste biomass are dumped daily in major cities worldwide, it must be brought into energy products utilization. The quest for a sustainable ecosystem has pushed scientists to explore alternative fuels that are not only compatible with the engine but also eco-friendly. Hydrogen exhibits excellent combustion characteristics during dual fuel mode in a compression ignition (CI) engine. Carbon dioxide and NOx emissions are the two significant pollutants alternative fuels produce. This review study has tried to mitigate these two pollutants by combining biodiesel and hydrogen. It has been investigated that hydrogen possesses zero carbon content and can reduce CO2 emission, and biodiesel made from algae resources can help reduce NOx emission. Therefore, it is highlighted through the current review study to use the blend of hydrogen and algae-based biodiesel fuels to achieve benefits from their combined physicochemical properties and mitigate greenhouse gas emissions. The carbon-free nature of hydrogen and the oxygenated nature of biodiesel can be an excellent combination for combustion in diesel engines. Adopting third-generation fuels such as algae appears to be a viable solution to meet future energy demands. Biodiesel has a lower calorific value and viscous nature, negatively impacting fuel spray characteristics and creating abrupt fuel consumption. The purpose of this study is to promote biomass oil burning using hydrogen as a promoter supplement blend. Hydrogen has a higher heating value that can help overcome the less heating value of biodiesel fuels. Therefore, hydrogen as a blend with biodiesel makes the mixture lean and positively impacts engine performance, emissions, and combustion parameters.

Im, K, Park, M, Kabir, MM, Sohn, W, Choo, Y, Shon, HK & Nam, SY 2024, 'Human urine electrolysis for simultaneous green hydrogen and liquid fertilizer production for a circular economy: A proof of concept', Desalination, vol. 570, pp. 117059-117059.
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This study explores a novel process for hydrogen production and urine concentration using water electrolysis, employing a hydrophobic membrane and hydrogel electrolyte. The process utilizes a hydrophobic membrane to provide pure water from human urine, while simultaneously producing hydrogen through electrolysis, and concentrating urine for liquid fertilizer production. A suitable hydrogel electrolyte was developed, with polyvinyl alcohol (PVA)-based hydrogels and varying potassium hydroxide (KOH) concentration, showing efficient ion conductivity. The PVA-KOH 30 wt % hydrogel incorporating melamine exhibited promising performance in cell testing, achieving a current density of 204.35 mA/cm2 at 2 V. Long-term electrolysis tests indicated sustained efficiency, although a decline in current density during 96 h was attributed to hydrophobic membrane fouling. Nonetheless, the hydrogel electrolyte demonstrated minimal fouling, successfully concentrating the urine about 5 times. This concentrated urine serves as liquid fertilizer, while the produced hydrogen acts as an energy source, and the oxygen can be recycled for use in a membrane bioreactor (MBR), establishing a sustainable energy cycle system.

Indraratna, B, Arachchige, CMK, Rujikiatkamjorn, C, Heitor, A & Qi, Y 2024, 'Utilization of Granular Wastes in Transportation Infrastructure', Geotechnical Testing Journal, vol. 47, no. 1, pp. 20220233-20220233.
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Abstract Attributed to environmental preservation in urban infrastructure development, the recycling of waste materials produced in the coal and steel industry as well as the reusing of waste tires is a high priority in Australia. In this article, the practical applications of (i) coal wash (CW) and steel furnace slag mixtures, (ii) CW and fly ash mixtures, and (iii) rubber elements derived from recycled tires are discussed. In this regard, some examples of real-life applications are elucidated in relation to coastal reclamation as well as road and rail construction (e.g., Port Kembla, Kangaroo Valley highway, and Chullora Rail Precinct). The article outlines various aspects of site investigation, construction techniques, and the installation of instrumentation to evaluate the field performance of these waste materials in contrast to traditional (natural) quarried materials. The results from these case studies demonstrate that properly engineered granular waste mixtures can exhibit promising characteristics even to exceed the current technical standards, implying reduced intensity of maintenance. The research outcomes strongly support sustainable solutions to be embraced in the future development of transportation infrastructure, capable of withstanding increased freight loading and enhanced longevity.

Indraratna, B, Malisetty, RS, Nair, L & Rujikiatkamjorn, C 2024, 'Instrumentation and Data Interpretation in Transportation Geotechnics', Indian Geotechnical Journal, vol. 54, no. 1, pp. 40-62.
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AbstractTransportation networks on the eastern coast of Australia are often built on or traverse coastal flood plains and marine clays with unfavourable soil conditions. In the past two decades, a significant number of laboratory investigations were carried out in soft soil improvement using Prefabricated Vertical Drains (PVDs) combined with vacuum-assisted surcharge preloading. In addition, significant research efforts were made to reduce the maintenance costs of railway tracks and increase their longevity by using synthetic inclusions such as geocomposites, geogrids and shock mats. These research outcomes were implemented and validated in practice through several field investigations along the eastern coast of Australia. This paper demonstrates the significance of instrumentation and data interpretation in geotechnical field investigations through 6 case histories. Field trials including Port of Brisbane Land Reclamation, Ballina Bypass Upgrade and Sandgate Rail Separation Projects were presented highlighting innovative ways of monitoring the performance of PVDs with vacuum and non-vacuum surcharge preloading. Also, railway track design improvements using geosynthetic and shock mats were discussed through Bulli and Singleton trial track case studies. Further, the heavy haul track testing facility at Russell Vale, New South Wales, was discussed as an alternative for expensive and time-consuming field trials.

Irham, A, Roslan, MF, Jern, KP, Hannan, MA & Mahlia, TMI 2024, 'Hydrogen energy storage integrated grid: A bibliometric analysis for sustainable energy production', International Journal of Hydrogen Energy, vol. 63, pp. 1044-1087.
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Islam Rony, Z, Rasul, MG, Jahirul, MI & Mofijur, M 2024, 'Harnessing marine biomass for sustainable fuel production through pyrolysis to support United Nations' Sustainable Development Goals', Fuel, vol. 358, pp. 130099-130099.
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Ismaeel, HK, Albayati, TM, Al-Sudani, FT, Salih, IK, Dhahad, HA, Saady, NMC, Zendehboudi, S & Fattah, IMR 2024, 'The role of catalysts in biodiesel production as green energy applications: A review of developments and prospects', Chemical Engineering Research and Design, vol. 204, pp. 636-653.
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Jathar, LD, Nikam, K, Awasarmol, UV, Gurav, R, Patil, JD, Shahapurkar, K, Soudagar, MEM, Khan, TMY, Kalam, MA, Hnydiuk-Stefan, A, Gürel, AE, Hoang, AT & Ağbulut, Ü 2024, 'A comprehensive analysis of the emerging modern trends in research on photovoltaic systems and desalination in the era of artificial intelligence and machine learning', Heliyon, vol. 10, no. 3, pp. e25407-e25407.
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Javan, K, Altaee, A, BaniHashemi, S, Darestani, M, Zhou, J & Pignatta, G 2024, 'A review of interconnected challenges in the water–energy–food nexus: Urban pollution perspective towards sustainable development', Science of The Total Environment, vol. 912, pp. 169319-169319.
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Ji, X, Li, Y, Wen, P, Barua, P & Acharya, UR 2024, 'MixSleepNet: A Multi-Type Convolution Combined Sleep Stage Classification Model', Computer Methods and Programs in Biomedicine, vol. 244, pp. 107992-107992.
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Jiang, J, Dorji, P, Badeti, U, Sohn, W, Freguia, S, Phuntsho, S, El Saliby, I & Shon, HK 2024, 'Corrigendum to “Potential nutrient recovery from source-separated urine through hybrid membrane bioreactor and membrane capacitive deionisation” [Desalination 566 (2023) 116924]', Desalination, vol. 573, pp. 117236-117236.
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Jiang, J, Sohn, W, Almuntashiri, A, Phuntsho, S, Wang, Q, Freguia, S, El-Saliby, I & Shon, HK 2024, 'Feasibility study of powdered activated carbon membrane bioreactor (PAC-MBR) for source-separated urine treatment: A comparison with MBR', Desalination, vol. 580, pp. 117544-117544.
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Jorquera, E, Saco, PM, Verdon-Kidd, D, Rodríguez, JF, Timmermans, H & Nelson, F 2024, 'Effects of tropical cyclones on catchment sediment delivery to coastal ecosystems', CATENA, vol. 238, pp. 107805-107805.
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Kabir, MM, Sabur, GM, Akter, MM, Nam, SY, Im, KS, Tijing, L & Shon, HK 2024, 'Electrodialysis desalination, resource and energy recovery from water industries for a circular economy', Desalination, vol. 569, pp. 117041-117041.
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The water industries (WIN) are now approaching towards sustainability of resource use, recovery process, and water and energy management based on the circular economy (CRE) framework. Thus, the integration of electrodialysis (ED) technology in the WIN with a CRE paradigm should be recommended for ensuring the sustainability of ED desalination, resource, and energy recovery (EDDRER). According to the literature review, and to the best of our knowledge, there is no systematic study devoted to the sustainable EDDRER; hence a comprehensive and critical knowledge generation of EDDRER is essential for further technological advancements of ED. Consequently, this review paper investigated the plausible incorporation of ED in the WIN for a CRE of EDDRER. The recent progress of EDDRER has been described comprehensively and critically. Moreover, an all-inclusive techno-economics and environmental sustainability analysis of EDDRER from WIN for a CRE has been carried out. This paper marks the first instance in which energy recovery techniques employing ED have been reported and critically discussed. In addition, the latest case studies of EDDRER in the WIN have been discussed critically, and the significant scaling-up issues of EDDRER have been assessed based on the state-of-the-art recent scientific findings. Furthermore, the potential mitigation measures for the scaling-up issues have also been addressed. This study is the first comprehensive assessment of EDDRER from WIN for a closed-loop economy. The novel insights of this study could be essential for the development of a sustainable CRE-based EDDRER process for WIN to attain sustainable development goals (SDGs).

Kaliyannan, P, Seikh, AH, Kalam, MA & Venkatesh, R 2024, 'Fabrication and Characteristics Study of Aluminium Alloy Hybrid Nanocomposite Synthesized with SiC and Waste Metal Powder', Silicon, vol. 16, no. 2, pp. 843-851.
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Karki, D, Far, H & Nejadi, S 2024, 'Structural Behaviour of Prefabricated Composite Cold-Formed Steel and Timber Flooring Systems', Journal of Structural Engineering, vol. 150, no. 7.
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In this study, structural performance of a new type of lightweight composite cold-formed steel and timber (CFST) flooring system has been investigated by conducting four-point bending tests on thirteen specimens. A bare cold-formed steel system without timber sheathing was also tested to provide a benchmark response to which the strength and stiffness of the composite system were compared. This paper presents key findings on the flooring system’s structural behaviour and performance parameters, such as ultimate bending capacity, load-deflection response, load-slip response and failure modes, by categorising thirteen specimens into four sub-groups based on shear connector types and spacings. In the proposed composite CFST flooring system, 45mm thick structural plywood panels were connected to the 2.4mm thick cold-formed steel C-section joist using self-drilling screws, coach screws, and nuts and bolts. The performance of different types of shear connectors on the composite action is experimentally investigated and compared with the theoretical plastic section. Furthermore, the load-carrying capacity, effective bending stiffness, and deflection of composite CFST beams were computed theoretical using elastic theory and compared to experimental results, which showed good agreement.

Khosravi, K, Golkarian, A, Saco, PM, Booij, MJ & Melesse, AM 2024, 'Model identification and accuracy for estimation of suspended sediment load', Geocarto International, vol. 37, no. 27, pp. 18520-18545.
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Khounani, Z, Abdul Razak, NN, Hosseinzadeh-Bandbafha, H, Madadi, M, Sun, F, Mohammadi, P, Mahlia, TMI, Aghbashlo, M & Tabatabaei, M 2024, 'Biphasic pretreatment excels over conventional sulfuric acid in pinewood biorefinery: An environmental analysis', Environmental Research, vol. 248, pp. 118286-118286.
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Kilic, M, Barua, PD, Keles, T, Yildiz, AM, Tuncer, I, Dogan, S, Baygin, M, Tuncer, T, Kuluozturk, M, Tan, R-S & Acharya, UR 2024, 'GCLP: An automated asthma detection model based on global chaotic logistic pattern using cough sounds', Engineering Applications of Artificial Intelligence, vol. 127, pp. 107184-107184.
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Kim, J, Dong, L, Shon, HK & Park, K 2024, 'Current progress in semi-batch reverse osmosis for brackish water desalination', Desalination, vol. 578, pp. 117434-117434.
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Kim, J, Lee, J, Lee, S, Tijing, L, Shon, HK & Hong, S 2024, 'Electrically conductive membrane for fouling control: Its mechanisms and applications', Desalination, vol. 578, pp. 117445-117445.
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Kumar, A, Singh, UK & Pradhan, B 2024, 'Enhancing subsurface contamination assessment via ensemble prediction of ground electrical property: A Colorado AMD-impacted wetland case study', Journal of Environmental Management, vol. 351, pp. 119943-119943.
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Lei, B, Yang, W, Guo, Y, Wang, X, Xiong, Q, Wang, K & Li, W 2024, 'Interfacial adhesion between recycled aggregate and asphalt mastic filled with recycled concrete powder', Case Studies in Construction Materials, vol. 20, pp. e02721-e02721.
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Recycled aggregate (RA) and recycled concrete powder (RCP) hold significant potential as environmentally sustainable raw materials for asphalt mixtures. In this study, a comprehensive investigation was conducted on the bonding properties between RA and RCP-filled asphalt mastic (RCPAM). This investigation utilized an image processing-assisted modified water boiling test, binder bond strength (BBS) tests, and the surface free energy (SFE) method. The results indicate that the boiling water test method, even with the assistance of 2D image processing analysis, cannot adequately evaluate the adhesive characteristics of the RA-RCPAM interface. This limitation could be attributed to the relatively small number of samples tested and the significant variation in surface properties of RA. Increasing both the filler-to-asphalt (F/A) ratio and RCP replacement ratio adversely affected the interfacial bond strength of the RA-RCPAM interface. On the other hand, an increase in RA surface roughness contributed to a higher bond strength. Based on the experimental results, a best-fit multivariate mixed model was proposed to predict the interfacial bond strength between RCP-filled asphalt mastic and recycled aggregate within a given range of RCP replacement ratio, surface roughness, and filler-to-asphalt (F/A) ratios. The analysis of SFE suggested that moisture damage to RCPAM was caused by both cohesive and adhesive failure. Additionally, the minimal impact of adhesion work in wet condition with increasing RCP content suggested that adhesion failure energy was only marginally affected by the inclusion of RCP, even in the presence of moisture. These findings are expected to enhance the understanding of interfacial adhesion characteristics and moisture susceptibility of the RA-RCPAM interface.

Lei, B, Yu, L, Guo, Y, Xue, H, Wang, X, Zhang, Y, Dong, W, Dehn, F & Li, W 2024, 'Triaxial mechanical behaviours and life cycle assessment of sustainable multi-recycled aggregate concrete', Science of The Total Environment, vol. 923, pp. 171381-171381.
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Leng, D, Lv, P, Zhu, Z, Li, Y & Liu, G 2024, 'Experimental study on semi-active magnetorheological elastomer based isolation system for offshore platform using wave tank', Ocean Engineering, vol. 292, pp. 116467-116467.
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Li, C, Fang, J, Qiu, N, Wu, C, Steven, G & Li, Q 2024, 'Phase field fracture in elasto-plastic solids: Considering complex loading history for crushing simulations', International Journal of Mechanical Sciences, vol. 268, pp. 108994-108994.
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Li, D, Jiang, W, Ye, Y, Luo, J, Zhou, X, Yang, L, Guo, G, Wang, S, Liu, Z, Guo, W & Ngo, HH 2024, 'A change in substance and microbial community structure during the co-composting of kitchen waste anaerobic digestion effluent, sewage sludge and Chinese medicine residue', Science of The Total Environment, vol. 907, pp. 167679-167679.
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Li, F, Zuo, W, Zhou, K, Li, Q & Huang, Y 2024, 'State of charge estimation of lithium-ion batteries based on PSO-TCN-Attention neural network', Journal of Energy Storage, vol. 84, pp. 110806-110806.
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Li, F, Zuo, W, Zhou, K, Li, Q, Huang, Y & Zhang, G 2024, 'State-of-charge estimation of lithium-ion battery based on second order resistor-capacitance circuit-PSO-TCN model', Energy, vol. 289, pp. 130025-130025.
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Li, L, Mortazavi, M, Far, H, El-Sherbeeny, AM & Ahmadian Fard Fini, A 2024, 'Simulation and modeling of polymer concrete panels using deep neural networks', Case Studies in Construction Materials, vol. 20, pp. e02912-e02912.
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Li, M, Xu, Y & Fang, J 2024, 'Orthotropic mechanical properties of PLA materials fabricated by fused deposition modeling', Thin-Walled Structures, vol. 199, pp. 111800-111800.
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Li, W, Guo, Y, Zhang, X, Dong, W, Li, X, Yu, T & Wang, K 2024, 'Development of self-sensing ultra-high-performance concrete using hybrid carbon black and carbon nanofibers', Cement and Concrete Composites, vol. 148, pp. 105466-105466.
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Li, X, Wang, Z, Hu, Y, Huang, Y, Xiang, L & Cheng, X 2024, 'Experimental and numerical studies of the evaporation and combustion characteristics of large-angle impinging sprays', Applied Thermal Engineering, vol. 246, pp. 122918-122918.
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Li, Y, Zhao, H, Hu, Y, Qu, F, Zhu, D, Wang, K & Li, W 2024, 'Effect of pore water pressure on mechanical performance of recycled aggregate concrete under triaxial compression', Cement and Concrete Composites, vol. 146, pp. 105402-105402.
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Lin, S, Liu, A, Wang, J & Kong, X 2024, 'An improved fault-tolerant cultural-PSO with probability for multi-AGV path planning', Expert Systems with Applications, vol. 237, pp. 121510-121510.
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This paper presents a hybrid evolutionary algorithm, cultural-particle swarm optimization (C-PSO), which is inspired by the cultural algorithm and the particle swarm optimization algorithm. It is aimed to balance the performance of exploration and exploitation and avoid trapping in the local optima. It introduces a probabilistic approach to update the inertia weight based on the improved metropolis rule. Generating the optimal path without collisions is challenging to ensure vehicles operate safely in real-time implementation. The contributions of C-PSO are to solve the path planning problem of multiple vehicles in modern industrial warehouses, achieving task allocation, fault tolerance and collision avoidance by a dual-layer framework. It was compared with the other algorithms, including PSO, PSO-GA, CA, HS, ABC, HPSGWO, TS and MA, by CEC benchmark functions and statistical tests to demonstrate its great performance with fewer iterations and runtime and the best solutions. It is validated through computational experiments, which involve 15 AGVs and 20 tasks for demonstration.

Liu, G-Y, Li, J-P, Indraratna, B & Zhou, P 2024, 'A hydraulic-mechanical (HM) coupling constitutive model for unsaturated soil-continuum interfaces considering bonding effect', Computers and Geotechnics, vol. 166, pp. 105989-105989.
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Liu, H, Li, X, Zhang, Z, Li, J, Zhou, T, Wang, Z & Wang, Q 2024, 'Urine pretreatment enhances energy recovery by boosting medium-chain fatty acids production from waste activate sludge through anaerobic fermentation', Chemical Engineering Journal, vol. 482, pp. 148842-148842.
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Liu, H, Zhang, Z, Li, X, Zhou, T, Wang, Z, Li, J, Li, Y & Wang, Q 2024, 'Temperature-phased anaerobic sludge digestion effectively removes antibiotic resistance genes in a full-scale wastewater treatment plant', Science of The Total Environment, vol. 924, pp. 171555-171555.
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Liu, J, Dong, L, Li, C, Fang, J, Chen, Y & Cui, J 2024, 'Quasi-static and dynamic tensile behaviour of 316L stainless steels: Rolled versus laser-powder bed fusion (LPBF) fabricated samples', International Journal of Impact Engineering, vol. 190, pp. 104972-104972.
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Liu, J, Wei, J, Li, J, Su, Y & Wu, C 2024, 'A comprehensive review of ultra-high performance concrete (UHPC) behaviour under blast loads', Cement and Concrete Composites, vol. 148, pp. 105449-105449.
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Liu, Q, Cheng, S, Sun, C, Chen, K, Li, W & Tam, VWY 2024, 'Steel cable bonding in fresh mortar and 3D printed beam flexural behavior', Automation in Construction, vol. 158, pp. 105165-105165.
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Liu, S, Huang, X, Mu, H, Zheng, M, Kuang, S, Chen, H, Xu, Y, Wang, D, Liu, H & Li, X 2024, 'Biogeography and diversity patterns of functional genes associated with C, N, P, S cycling processes across China classical sea sediments', Science of The Total Environment, vol. 906, pp. 167678-167678.
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Liu, W, Xia, R, Lin, X, Wang, Z, Ansari, AJ, Li, G & Luo, W 2024, 'Tracking fouling layer formation in membrane distillation of landfill leachate concentrate: Insights from periodic membrane autopsies', Journal of Membrane Science, vol. 693, pp. 122331-122331.
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Liu, X, Chen, Z, Lu, S, Shi, X, Qu, F, Cheng, D, Wei, W, Shon, HK & Ni, B-J 2024, 'Persistent free radicals on biochar for its catalytic capability: A review', Water Research, vol. 250, pp. 120999-120999.
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Liu, Y, Cui, X, Zhang, X, Ren, J, Li, H, Wang, Z, Guo, W & Ngo, HH 2024, 'Recent advances and trends of carbon-based biocarriers for performance enhancement of anaerobic membrane bioreactor system', Journal of Water Process Engineering, vol. 59, pp. 104949-104949.
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Liu, Y, Wang, S, Huo, J, Zhang, X, Wen, H, Zhang, D, Zhao, Y, Kang, D, Guo, W & Ngo, HH 2024, 'Adsorption recovery of phosphorus in contaminated water by calcium modified biochar derived from spent coffee grounds', Science of The Total Environment, vol. 909, pp. 168426-168426.
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Liu, Y, Yuan, Y, Wang, Y, Ngo, HH & Wang, J 2024, 'Research and application of active species based on high-valent iron for the degradation of pollutants: A critical review', Science of The Total Environment, vol. 924, pp. 171430-171430.
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Lv, L, Wei, Z, Li, W, Chen, J, Tian, Y, Gao, W, Wang, P, Sun, L, Ren, Z, Zhang, G, Liu, X & Ngo, HH 2024, 'Regulation of extracellular polymers based on quorum sensing in wastewater biological treatment from mechanisms to applications: A critical review', Water Research, vol. 250, pp. 121057-121057.
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M.S., S, Elmakki, T, Schipper, K, Ihm, S, Yoo, Y, Park, B, Park, H, Shon, HK & Han, DS 2024, 'Integrated seawater hub: A nexus of sustainable water, energy, and resource generation', Desalination, vol. 571, pp. 117065-117065.
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Maidi, AM, Kalam, MA & Begum, F 2024, 'Detection of different drinkable milk using photonic crystal fibre biosensor in IR regime', Physica Scripta, vol. 99, no. 3, pp. 035516-035516.
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Abstract A simplified PCF sensor has been designed to detect the different drinkable milk that includes camel, cow and buffalo milk, and can also assess its quality. The sensor features a singular circular core design and two layers octagonal cladding air holes that was analysed using the Finite Element Method technique in COMSOL Multiphysics software and determine the sensing and optical performance parameters: power fraction, relative sensitivity, confinement loss, effective area, numerical aperture, V-Parameter, spot size, and beam divergence. At the optimum wavelength of 6.0 μm, the relative sensitivities are 96.58%, 96.78%, and 96.84%, and confinement losses of 3.51 × 10−8 dB/m, 1.47 × 10−8 dB m−1, and 8.59 × 10−9 dB/m, for camel, cow, and buffalo milk, respectively. The efficacy of the proposed PCF structure for sensing applications in the dairy industry in distinguishing between different types of milk is evidenced by these findings. Moreover, the results of confinement loss and chromatic dispersion suggest potential applications of this design in optical communication.

Maidi, AM, Salam, R, Kalam, MA & Begum, F 2024, 'Design and simulation of photonic crystal fibre sensor for harmful chemicals detection in polycarbonate plastics', Optical and Quantum Electronics, vol. 56, no. 1.
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Malisetty, RS & Indraratna, B 2024, 'Critical speed of ballasted railway tracks: Influence of ballast and subgrade degradation', Transportation Geotechnics, vol. 46, pp. 101246-101246.
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Min, C, Akther, N, Lee, T, Choo, Y, Naidu, G, Han, D-S, Kim, S-H & Shon, HK 2024, 'Atmospheric water harvesting by osmotic distillation and direct contact membrane distillation using hydrophobic hollow fiber membranes', Process Safety and Environmental Protection, vol. 182, pp. 527-534.
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Mofijur, M, Ahmed, SF, Ahmed, B, Mehnaz, T, Mehejabin, F, Shome, S, Almomani, F, Chowdhury, AA, Kalam, MA, Badruddin, IA & Kamangar, S 2024, 'Impact of nanoparticle-based fuel additives on biodiesel combustion: An analysis of fuel properties, engine performance, emissions, and combustion characteristics', Energy Conversion and Management: X, vol. 21, pp. 100515-100515.
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Mofijur, M, Hasan, MM, Ahmed, SF, Djavanroodi, F, Fattah, IMR, Silitonga, AS, Kalam, MA, Zhou, JL & Khan, TMY 2024, 'Advances in identifying and managing emerging contaminants in aquatic ecosystems: Analytical approaches, toxicity assessment, transformation pathways, environmental fate, and remediation strategies', Environmental Pollution, vol. 341, pp. 122889-122889.
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Mohamad Aziz, NA, Mohamed, H, Kania, D, Ong, HC, Zainal, BS, Junoh, H, Ker, PJ & Silitonga, AS 2024, 'Bioenergy production by integrated microwave-assisted torrefaction and pyrolysis', Renewable and Sustainable Energy Reviews, vol. 191, pp. 114097-114097.
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Mojiri, A, Vishkaei, MN, Zhou, JL, Trzcinski, AP, Lou, Z, Kasmuri, N, Rezania, S, Gholami, A, Vakili, M & Kazeroon, RA 2024, 'Impact of polystyrene microplastics on the growth and photosynthetic efficiency of diatom Chaetoceros neogracile', Marine Environmental Research, vol. 194, pp. 106343-106343.
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Mondal, MIH, Chandra Chakraborty, S, Rahman, MS, Marjuban, SMH, Ahmed, F, Zhou, JL, Ahmed, MB & Zargar, M 2024, 'Adsorbents from rice husk and shrimp shell for effective removal of heavy metals and reactive dyes in water', Environmental Pollution, vol. 346, pp. 123637-123637.
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Mysore, THM, Patil, AY, Hegde, C, Sudeept, MA, Kumar, R, Soudagar, MEM & Fattah, IMR 2024, 'Apatite insights: From synthesis to biomedical applications', European Polymer Journal, vol. 209, pp. 112842-112842.
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Nagaprasad, KS, Banapurmath, NR, Madhu, D, Soudagar, MEM, Mujtaba, MA, Kalam, MA, Vadlamudi, C & Krishnappa, S 2024, 'Emission characteristics of diesel engines fuelled with B20 with different DPF, DOC and EGR arrangements', International Journal of Ambient Energy, vol. 45, no. 1.
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Navidpour, AH, Hosseinzadeh, A, Huang, Z, Li, D & Zhou, JL 2024, 'Application of machine learning algorithms in predicting the photocatalytic degradation of perfluorooctanoic acid', Catalysis Reviews, vol. 66, no. 2, pp. 687-712.
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Perfluorooctanoic acid (PFOA) is used in a variety of industries and is highly persistent in the environment, with potential human health risks. Photocatalysis has been extensively used for the decomposition of various organic pollutants, yet its simulation and modeling are challenging. This research aimed to establish different machine learning (ML) algorithms which can simulate and predict the photocatalytic degradation of PFOA. The published results were used to estimate and predict the photocatalytic degradation of PFOA. Statistical criteria including the coefficient of determination (R2), mean absolute error (MAE), and mean squared error (MSE) were considered in assessing the best method of modeling. Among the seven ML algorithms pre-screened, Adaptive Boosting (AdaBoost), Gradient Boosting Machine (GBM), and Random Forest (RF) showed the best performance and were chosen for deep modeling and analysis. Grid search was used to optimize the models developed by AdaBoost, GBM, and RF; and permutation variable importance (PVI) was used to analyze the relative importance of different variables. Based on the modeling results, GBM model (R2  = 0.878, MSE = 106.660, MAE = 6.009) and RF model (R2  = 0.867, MSE = 107.500, MAE = 6.796) showed superior performances compared with AdaBoost model (R2  = 0.574, MSE = 388.369, MAE = 16.480). Furthermore, the PVI results suggested that the GBM model provided the best outcome, with the light irradiation time, type of catalyst, dosage of catalyst, solution pH, irradiation intensity, initial PFOA concentration, oxidizing agents (peroxymonosulfate, ammonium persulfate, and sodium persulfate), irradiation wavelength, and solution temperature as the most important process variables in decreasing order.

Navidpour, AH, Safaei, J, Johir, MAH, Ni, B-J, Dashti, A, Li, X & Zhou, JL 2024, 'Zinc oxide@citric acid-modified graphitic carbon nitride nanocomposites for adsorption and photocatalytic degradation of perfluorooctanoic acid', Advanced Composites and Hybrid Materials, vol. 7, no. 2.
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AbstractPerfluorooctanoic acid (PFOA) is a highly persistent organic pollutant of global concern. A novel nanocomposite composed of ZnO nanoparticles and citric acid-modified g-C3N4 was synthesized by ball milling process. The synthesized nanocomposite was more efficient than pure ball-milled ZnO nanoparticles for PFOA elimination under visible light irradiation. The optimal hybrid photocatalyst, produced by the addition of 5 wt% of citric acid-modified g-C3N4, demonstrated significantly better performance for PFOA removal than pure ZnO nanoparticles under UV irradiation, with the apparent rate constants of 0.468 h−1 and 0.097 h−1, respectively. The addition of peroxymonosulfate (0.53 g L−1) significantly increased PFOA removal, clarifying the crucial effect of sulfate radicals on PFOA photodegradation. In comparison, citric acid-modified g-C3N4 was not effective for PFOA elimination under visible light irradiation, even with the addition of peroxymonosulfate. Further experiments under dark conditions identified surface adsorption on hybrid photocatalyst as a key process in total PFOA removal. In summary, PFOA removal by ZnO@citric acid-modified graphitic carbon nitride nanocomposites is due to the combined action from adsorption and photodegradation, with adsorption as the dominating mechanism.

Nguyen, N-K-Q, Bui, X-T, Dao, T-S, Pham, M-D-T, Ngo, HH, Lin, C, Lin, K-YA, Nguyen, P-D, Huynh, K-P-H, Vo, T-K-Q, Tra, V-T & Le, T-S 2024, 'Influence of hydrodynamic shear stress on activated algae granulation process for wastewater treatment', Environmental Technology & Innovation, vol. 33, pp. 103494-103494.
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Nimbalkar, S & Basack, S 2024, 'Pile group in clay subjected to cyclic lateral load: Numerical modelling and design recommendation', Marine Georesources & Geotechnology, vol. 42, no. 1, pp. 67-87.
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Ong Tang, RC, Jaiswal, M, Wang, C-T, Ong, ZC & Ong, HC 2024, 'Effect of bluff body embedded in flow channel on power performance of microbial fuel cell', Fuel, vol. 359, pp. 130370-130370.
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Onggowarsito, C, Shao, Z, Mao, S, Zhang, S, Feng, A, Li, X, Wong, EHH & Fu, Q 2024, 'Versatile cationic dual-layer hydrogel filtration system for sustainable solar steam generator', Materials Today Sustainability, vol. 26, pp. 100753-100753.
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Ozkaya, SG, Baygin, M, Barua, PD, Tuncer, T, Dogan, S, Chakraborty, S & Acharya, UR 2024, 'An automated earthquake classification model based on a new butterfly pattern using seismic signals', Expert Systems with Applications, vol. 238, pp. 122079-122079.
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Pan, Y, Zong, Z, Li, J, Qian, H & Wu, C 2024, 'Investigating the dynamic response of a double-box utility tunnel buried in calcareous sand against ground surface explosion', Tunnelling and Underground Space Technology, vol. 146, pp. 105636-105636.
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Pavan Kumar, TVV, Taranath, NL, Rahul, R, Chandra Shekara, G, Sapra, P, Thandaiah Prabu, R, Metwally, ASM & Kalam, MA 2024, 'Photovoltaic fuzzy based modelling on defining energy efficient solar devices in industry 4.0', Optical and Quantum Electronics, vol. 56, no. 1.
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Puthal, D, Yeun, CY, Damiani, E, Mishra, AK, Yelamarthi, K & Pradhan, B 2024, 'Blockchain Data Structures and Integrated Adaptive Learning: Features and Futures', IEEE Consumer Electronics Magazine, vol. 13, no. 2, pp. 72-80.
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Qi, Y, Indraratna, B, Ngo, T, Arachchige, CMK & Hettiyahandi, S 2024, 'Sustainable solutions for railway using recycled rubber', Transportation Geotechnics, pp. 101256-101256.
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Qiu, N, Wan, Y, Shen, Y & Fang, J 2024, 'Experimental and numerical studies on mechanical properties of TPMS structures', International Journal of Mechanical Sciences, vol. 261, pp. 108657-108657.
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Qiu, N, Yu, Z, Wang, D, Xiao, M, Zhang, Y, Kim, NH & Fang, J 2024, 'Bayesian optimization of origami multi-cell tubes for energy absorption considering mixed categorical-continuous variables', Thin-Walled Structures, vol. 199, pp. 111799-111799.
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Qu, K, Liu, J, Zhang, J & Wu, C 2024, 'Three-dimensional meso-scale modelling of geopolymer-based ultra-high performance concrete (G-UHPC) with ceramic ball coarse aggregates under projectile impact', Structures, vol. 61, pp. 105935-105935.
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Rafa, N, Ahmed, B, Zohora, F, Bakya, J, Ahmed, S, Ahmed, SF, Mofijur, M, Chowdhury, AA & Almomani, F 2024, 'Microplastics as carriers of toxic pollutants: Source, transport, and toxicological effects', Environmental Pollution, vol. 343, pp. 123190-123190.
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Raman, R, Gor, M, Meenakshi, R, Jayaseelan, GM, Chaturvedi, A, Taqui, SN, Ganeshan, P, Ouladsmane, M & Kalam, MA 2024, 'Solar Energy Measurement and Monitoring Model by Using Internet of Things', Electric Power Components and Systems, vol. 52, no. 10, pp. 1796-1807.
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Rao, P, Feng, W, Ouyang, P, Cui, J, Nimbalkar, S & Chen, Q 2024, 'Formation of plasma channel under high-voltage electric pulse and simulation of rock-breaking process', Physica Scripta, vol. 99, no. 1, pp. 015604-015604.
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Abstract In the context of rock fragmentation, the application of high voltage electric pulses results in the transfer of electrical energy onto the surface of the rock material, leading to a rapid electrical breakdown and the formation of a plasma channel. The ionized plasma expands at a fast velocity, generating a shock wave that causes significant damage to the rock’s integrity. In this study, we develope a numerical model that couples electrical, thermal, and mechanical forces to simulate the formation of plasma channels within rocks due to high-voltage electric pulses. The model’s accuracy is verified through field tests, and the results indicate that the configuration of the high-voltage pulse waveform, electrode spacing, and conductor particles within the rock impact the pathway of plasma channel formation. Prior to the formation of the plasma channel, minimal changes are observed in temperature and stress levels, with the majority of electric pulse energy dedicated to the creation of the plasma channel. Following the establishment of the plasma channel, the application of the electric pulse continues, resulting in notable alterations in temperature and stress levels. When the duration of the action reaches 105 ns, the temperature and stress levels surpass 104 K and 50 MPa, respectively, leading to fracture and extensive damage to the rock. The outcomes derived from the numerical model’s calculations can help to facilitate the cross-integration between physics and civil engineering and contribute to a deeper understanding of the rock fragmentation process under high voltage electric pulses.

Rao, P, Meng, J, Cui, J & Nimbalkar, S 2024, 'Field Study on Rectangular Inclined Deep Foundation Excavation in Soft Soils', Geotechnical and Geological Engineering, vol. 42, no. 3, pp. 2151-2168.
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Rashid, MI, Yaqoob, Z, Mujtaba, MA, Kalam, MA, Fayaz, H & Qazi, A 2024, 'Carbon capture, utilization and storage opportunities to mitigate greenhouse gases', Heliyon, vol. 10, no. 3, pp. e25419-e25419.
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Ren, L, Zhang, Y, Zhou, JL, Wang, G, Mo, Y, Ling, Y, Huang, Y, Zhang, Y, Hu, H & Wang, Y 2024, 'RL-WG26 mediated salt stress tolerance in rice seedlings: A new insight into molecular mechanisms', Plant Stress, vol. 11, pp. 100306-100306.
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Roobavannan, S, Choo, Y, Truong, DQ, Shon, HK & Naidu, G 2024, 'Selective lithium extraction using capacitive deionization with fabricated zeolitic imidazolate framework encapsulated manganese oxide carbon electrode', Chemical Engineering Journal, vol. 483, pp. 149242-149242.
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Salih, AK, Aditya, L, Matar, F, Nghiem, LD & Ton-That, C 2024, 'Improved flux and anti-fouling performance of a photocatalytic ZnO membrane on porous stainless steel substrate for microalgae harvesting', Journal of Membrane Science, vol. 694, pp. 122405-122405.
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Salvi, M, Loh, HW, Seoni, S, Barua, PD, García, S, Molinari, F & Acharya, UR 2024, 'Multi-modality approaches for medical support systems: A systematic review of the last decade', Information Fusion, vol. 103, pp. 102134-102134.
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Sarifudin, A, Yaningsih, I, Kristiawan, B, Wibawa, A, Miyazaki, T, Thu, K, Silitonga, A & Ong, H 2024, 'Investigation of granular natural stone materials as photothermal absorbers for sustainable and environmentally friendly energy harvesting', Journal of Applied Engineering Science, vol. 22, no. 1, pp. 147-162.
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The development of cost-effective and environmentally friendly solar thermal technologies that deliver high performance poses several challenges, where the collector and absorber components play a pivotal role. This research addresses these issues by investigating enhanced temperature generation using a 30 cm × 30 cm Fresnel lens collector under solar illumination from a xenon lamp. Natural stone materials (andesite, coal, and pumice), characterized by granular structures with an average diameter of 1.68-2.00 mm, were selected because of their abundance and eco-friendliness. This research is focused on evaluating the effect of Fresnel lens on temperature generation performance. Two types of temperature generation tests were carried out: wet tests (where the natural stone materials were immersed in distilled water) and dry tests (where the natural stone materials were used in dry conditions). The morphologies of the natural stone materials were examined using an optical microscope and scanning electron microscope. Furthermore, the optical properties of the natural stone materials were analyzed using an ultraviolet-visible (UV-VIS) spectrophotometer. The findings revealed that there were significant improvements in the photothermal absorber performance with the use of a Fresnel lens in dry tests, where the highest temperature was achieved for coal (103.25 °C), followed by andesite (89.00 °C) and pumice (73.00 °C). The impurities varied between the materials, where the impurities were most dominant for pumice while coal was more uniform. Further examination using scanning electron microscope showed that all materials had light-trapping structures in the form of rough surfaces, pores, and crack gaps. Andesite was dominated by rough surfaces, while coal and pumice were dominated by crack gaps and pores, respectively. However, based on the UV-VIS spectrophotometric results, there were no correlations between the optical properties (absorbance, reflect...

Senanayake, S, Pradhan, B, Wedathanthirige, H, Alamri, A & Park, H-J 2024, 'Monitoring soil erosion in support of achieving SDGs: A special focus on rainfall variation and farming systems vulnerability', CATENA, vol. 234, pp. 107537-107537.
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Seoni, S, Molinari, F, Rajendra Acharya, U, Lih, OS, Barua, PD, García, S & Salvi, M 2024, 'Application of spatial uncertainty predictor in CNN-BiLSTM model using coronary artery disease ECG signals', Information Sciences, vol. 665, pp. 120383-120383.
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Shahapurkar, K, Zelalem, YM, Chenrayan, V, Soudagar, MEM, Fouad, Y, Kalam, MA & Kiran, MC 2024, 'Investigation on the mechanical and fracture properties of lightweight pumice epoxy composites', Polymer Engineering & Science, vol. 64, no. 3, pp. 1071-1082.
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AbstractPumice, which is prevalent in Ethiopia, is formed naturally during the quick cooling and solidifying of molten lava. Pumice is a naturally occurring mineral that, due to its high thermal resistance and lightweightness, can be an excellent candidate for reinforcing material for polymers. The present study investigates epoxy‐based composites reinforced with pumice particles by varying the pumice content (0, 10, 20, and 30 vol%). The densities of all composites reduce in comparison with neat epoxy as the volume proportion of pumice increases credited to the low density pumice particles. Tensile stress–strain curves depict neat epoxy with higher deformation than other pumice particulate‐filled composites in the linear elastic area followed by rapid brittle failure. Tensile modulus of all the composites increases in the range of 13%–67% in comparison with neat epoxy. The compressive characteristics of composites are greatly improved by the addition of pumice. Compressive moduli and specific compressive moduli of all composites increase with increasing volume fraction of pumice by 54%–58% and 65%–93%, respectively, in comparison with neat epoxy. The fracture toughness of P‐10, P‐20, and P‐30 composites improved by 18%, 54%, and 59%, respectively, as compared with neat epoxy mainly attributed to the foam‐like structure of pumice particles. SEM micrographs are used to analyze the morphology of compression‐tested specimens. Property mapping highlights the advantages of utilizing composites from present work over numerous syntactic foams.

Shen, D, Zhang, P, Wu, S-L, Long, Y, Wei, W & Ni, B-J 2024, 'Enhanced biomethane production from waste activated sludge anaerobic digestion by ceramsite and amended Fe2O3 ceramsite', Journal of Environmental Management, vol. 351, pp. 119973-119973.
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Shi, X, Wei, W, Wu, L, Huang, Y & Ni, B-J 2024, 'Biosynthesis mechanisms of medium-chain carboxylic acids and alcohols in anaerobic microalgae fermentation regulated by pH conditions', Applied and Environmental Microbiology, vol. 90, no. 1.
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ABSTRACT Valorization of microalgae into high-value products and drop-in chemicals can reduce our dependence on non-renewable fossil fuels in an environmentally sustainable way. Among the valuable products, medium-chain carboxylic acids (MCCAs) and alcohols are attractive building blocks as fuel precursors. However, the biosynthetic mechanisms of MCCAs and alcohols in anaerobic microalgae fermentation and the regulating role of pH on the microbial structure and metabolism interaction among different functional groups have never been documented. In this work, we systematically investigated the roles of pH (5, 7, and 10) on the production of MCCAs and alcohols in anaerobic microalgae fermentation. The gene-centric and genome-centric metagenomes were employed to uncover the dynamics and metabolic network of the key players in the microbial communities. The results indicated that the pH significantly changed the product spectrum. The maximum production rate of alcohol was obtained at pH 5, while pH 7 was more beneficial for MCCA production. Metagenomic analysis reveals that this differential performance under different pH is attributed to the transformation of microbial guild and metabolism regulated by pH. The composition of various functional groups for MCCA and alcohol production also varies at different pH levels. Finally, a metabolic network was proposed to reveal the microbial interactions at different pH levels and thus provide insights into bioconversion of microalgae to high-value biofuels. IMPORTANCE Carboxylate platforms encompass a biosynthesis process involving a mixed and undefined culture, enabling the conversion of microalgae, rich in carbohydrates and protein, into valuable fuels and mitigating the risks associated with algae blooms. However, there is little known about the effects of pH on the metabolic pathways...

Shi, Z, Feng, Y, Stewart, MG & Gao, W 2024, 'Virtual modelling based fragility assessment of structures under bushfire propagation', Reliability Engineering & System Safety, vol. 245, pp. 110000-110000.
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Singh, RB, Patra, KC, Pradhan, B & Samantra, A 2024, 'HDTO-DeepAR: A novel hybrid approach to forecast surface water quality indicators', Journal of Environmental Management, vol. 352, pp. 120091-120091.
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Sohn, W, Jiang, J, Phuntsho, S & Shon, HK 2024, 'Membrane bioreactor incorporated with biofilm carriers and activated carbon for enhanced biological nitrification of urine', Desalination, vol. 570, pp. 117061-117061.
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Long hydraulic retention time (HRT) of a membrane bioreactor (MBR) for the nitrification of source-separated urine remains one of the major challenges of which reduces energy efficiency and increases footprint. In this study, a powdered activated carbon (PAC) incorporated MBR with biofilm carrier addition was operated to investigate their effects on the enhancement of nitrification rates and their HRT. The presence of biofilm carrier in the MBR reduced restabilisation time and the start-up period by 26 % and 18 %, respectively. The combination of biofilm carriers and PAC showed a significantly higher nitrification rate of 304 ± 73 mgN/L·d compared to 194 ± 60 mgN/L·d for the conventional MBR (control), which significantly helped reduced HRT during urine treatment. This study therefore shows that PAC and biofilm carrier incorporated MBR is more compact and high-performing contributing to commercial applications and helping achieve circular economy of nutrients.

Sohn, W, Jiang, J, Su, Z, Zheng, M, Wang, Q, Phuntsho, S & Kyong Shon, H 2024, 'Microbial community analysis of membrane bioreactor incorporated with biofilm carriers and activated carbon for nitrification of urine', Bioresource Technology, vol. 397, pp. 130462-130462.
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Soudagar, MEM, Shelare, S, Marghade, D, Belkhode, P, Nur-E-Alam, M, Kiong, TS, Ramesh, S, Rajabi, A, Venu, H, Yunus Khan, TM, Mujtaba, MA, Shahapurkar, K, Kalam, MA & Fattah, IMR 2024, 'Optimizing IC engine efficiency: A comprehensive review on biodiesel, nanofluid, and the role of artificial intelligence and machine learning', Energy Conversion and Management, vol. 307, pp. 118337-118337.
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Stuart, B, Guan, J, Collins, S, Thomas, P & Ueland, M 2024, 'A preliminary study of non-woven fabrics for forensic identification purposes', Australian Journal of Forensic Sciences, vol. 56, no. 2, pp. 144-153.
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While traditional woven textiles have been the subject of many forensic investigations, non-woven fabrics have received minimal attention thus far. Given the expansion of commercial applications of non-woven fabrics, a preliminary investigation of household wipes has been carried out to characterize the compositions of these widely available non-woven fabrics. Infrared spectroscopy and thermogravimetric analysis were employed to identify the fibre type and additives of three types of commercial wipes. Polyester and/or viscose fibres were found to be the main components and, along with the identification of binders, enable source types to be differentiated. The predicted different sensitivities of the fibre types to biodeterioration highlights the importance of future environmental studies for the correct characterization of non-woven fabrics in evidence.

Su, Y, Qian, J, Wang, J, Mi, X, Huang, Q, Zhang, Y, Jiang, Q & Wang, Q 2024, 'Unraveling the mechanism of norfloxacin removal and fate of antibiotics resistance genes (ARGs) in the sulfur-mediated autotrophic denitrification via metagenomic and metatranscriptomic analyses', Science of The Total Environment, vol. 922, pp. 171328-171328.
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Sun, Y-L, Wang, H-L, Ngo, HH, Guo, W, Ni, B-J, Zhang, X-N & Wei, W 2024, 'Adapting to seasonal temperature variations: A dynamic multi-subunit strategy for sulfur autotrophic denitrification bioreactors', Environmental Research, vol. 240, pp. 117493-117493.
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Sun, Y-L, Wang, J-Y, Ngo, HH, Wei, W, Guo, W, Zhang, X-N, Cheng, H-Y, Yang, J-X & Wang, A-J 2024, 'Inducement mechanism and control of self-acidification in elemental sulfur fluidizing bioreactor', Bioresource Technology, vol. 393, pp. 130081-130081.
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Swain, S, Mishra, PK, Nandi, S, Pradhan, B, Sahoo, S & Al-Ansari, N 2024, 'A simplistic approach for monitoring meteorological drought over arid regions: a case study of Rajasthan, India', Applied Water Science, vol. 14, no. 2.
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AbstractThe commonly used precipitation-based drought indices typically rely on probability distribution functions that can be suitable when the data exhibit minimal discrepancies. However, in arid and semi-arid regions, the precipitation data often display significant discrepancies due to highly irregular rainfall patterns. Consequently, imposing any probability distributions on the data for drought analysis in such regions may not be effective. To address this issue, this study employs a novel drought index called the Discrepancy Precipitation Index (DPI), specifically designed for arid regions. Unlike traditional methods, the DPI does not impose a probability distribution on the precipitation data; instead, it relies on the discrepancy between the data and the mean value. Drought severity classifications (i.e., Drought-I, Drought-II, and Drought-III) are proposed based on the DPI values. The DPI is used to characterize and assess the meteorological drought years based on annual and monsoonal precipitation over nineteen districts in Western Rajasthan, India, during 1901–2019. Additionally, a novel statistic called Discrepancy Measure (DM) is employed to assess the degree of discrepancy in the precipitation climatology of the districts for annual and monsoon precipitation time series. Based on annual precipitation, Jaisalmer district exhibited the highest number of historical drought years (35), whereas three districts, i.e., Jhunjhunu, Dausa, and Bhilwara exhibited the lowest number of drought years (11). Similarly, based on monsoon precipitation, Jaisalmer and Bhilwara encountered the highest (34) and the lowest (11) number of drought years, respectively. The return period of Drought-II is lower for monsoon precipitation-based DPI as compared to that of the annual precipitation-based DPI for all the districts. The DM and DPI-based total number of droughts are found to be strongly correlated for both annual and monsoon...

Talhami, M, Wakjira, T, Alomar, T, Fouladi, S, Fezouni, F, Ebead, U, Altaee, A, AL-Ejji, M, Das, P & Hawari, AH 2024, 'Single and ensemble explainable machine learning-based prediction of membrane flux in the reverse osmosis process', Journal of Water Process Engineering, vol. 57, pp. 104633-104633.
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Tao, M, Yang, Z, Zhao, Y, Wu, X & Wu, C 2024, 'Failure characteristics of microwave heat-treated stressed sandstone: Implications for deep rock breakage using TBM cutting', Energy, vol. 292, pp. 130489-130489.
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Tatli, S, Macin, G, Tasci, I, Tasci, B, Barua, PD, Baygin, M, Tuncer, T, Dogan, S, Ciaccio, EJ & Acharya, UR 2024, 'Transfer-transfer model with MSNet: An automated accurate multiple sclerosis and myelitis detection system', Expert Systems with Applications, vol. 236, pp. 121314-121314.
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Thacharodi, A, Hassan, S, Meenatchi, R, Bhat, MA, Hussain, N, Arockiaraj, J, Ngo, HH, Sharma, A, Nguyen, HT & Pugazhendhi, A 2024, 'Mitigating microplastic pollution: A critical review on the effects, remediation, and utilization strategies of microplastics', Journal of Environmental Management, vol. 351, pp. 119988-119988.
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Thacharodi, A, Meenatchi, R, Hassan, S, Hussain, N, Bhat, MA, Arockiaraj, J, Ngo, HH, Le, QH & Pugazhendhi, A 2024, 'Microplastics in the environment: A critical overview on its fate, toxicity, implications, management, and bioremediation strategies', Journal of Environmental Management, vol. 349, pp. 119433-119433.
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Thiviyanathan, VA, Ker, PJ, Hoon Tang, SG, Amin, EPP, Yee, W, Hannan, MA, Jamaludin, Z, Nghiem, LD & Indra Mahlia, TM 2024, 'Microalgae biomass and biomolecule quantification: Optical techniques, challenges and prospects', Renewable and Sustainable Energy Reviews, vol. 189, pp. 113926-113926.
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Tian, S, Li, X, Ren, J, Zhou, Z, Wang, F, Shi, K, Xu, J, Gu, T & Shon, H 2024, 'Emerging heat-localized solar distillation systems: Solar interfacial distillation VS photothermal membrane distillation', Desalination, vol. 572, pp. 117147-117147.
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Heat-localized solar distillation (HLSD) is an emerging environmentally- friendly high-efficiency distillation technology for clean water production. Solar interfacial distillation (SID) and photothermal membrane distillation (PMD) are two featured HLSD processes that have attracted a lot of attentions from researchers recently. Both SID and PMD systems produce water vapor from thin film surfaces where sunlight can be absorbed and converted as localized-heat to minimize heat loss and improve heat conversion efficiency. This article offers an overview of SID and PMD, including their respective classifications and characteristics. Subsequently, the water production capacities and purification efficiencies of the two systems are compared and the influencing factors are analyzed. Moreover, this paper compares the crystallization processes between the two systems and elucidates the methods employed to prevent salt fouling and achieve salt recovery. Finally, this study highlights the current challenges and future prospects of both systems to guide future research.

Tihin, GL, Mo, KH, Juan, JC, Ong, HC, Asikin-Mijan, N & Lee, HV 2024, 'Enhanced energy recovery of non-hazardous organic wastes via moderate pyrolysis with natural calcium- and potassium-based additives', Journal of Thermal Analysis and Calorimetry, vol. 149, no. 6, pp. 2521-2535.
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Tuncer, T, Dogan, S, Baygin, M, Barua, PD, Palmer, EE, March, S, Ciaccio, EJ, Tan, R-S & Acharya, UR 2024, 'FLP: Factor lattice pattern-based automated detection of Parkinson's disease and specific language impairment using recorded speech', Computers in Biology and Medicine, vol. 173, pp. 108280-108280.
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Val, DV, Andrade, C, Sykora, M, Stewart, MG, Bastidas-Arteaga, E, Mlcoch, J, Truong, QC & El Soueidy, C-P 2024, 'TEMPORARY REMOVAL: Probabilistic modelling of deterioration of reinforced concrete structures', Structural Safety, pp. 102454-102454.
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Vo, PHN, Danaee, S, Hai, HTN, Huy, LN, Nguyen, TAH, Nguyen, HTM, Kuzhiumparambil, U, Kim, M, Nghiem, LD & Ralph, PJ 2024, 'Biomining for sustainable recovery of rare earth elements from mining waste: A comprehensive review', Science of The Total Environment, vol. 908, pp. 168210-168210.
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Vu, HP, Kuzhiumparambil, U, Cai, Z, Wang, Q, Ralph, PJ & Nghiem, LD 2024, 'Enhanced biomethane production from Scenedesmus sp. using polymer harvesting and expired COVID-19 disinfectant for pretreatment', Chemosphere, vol. 356, pp. 141869-141869.
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Waheed, S, Ahmed, A, Abid, M, Mufti, RA, Ferreira, F, Bashir, MN, Shah, AUR, Jafry, AT, Zulkifli, NW & Fattah, IMR 2024, 'Ionic liquids as lubricants: An overview of recent developments', Journal of Molecular Structure, vol. 1301, pp. 137307-137307.
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Wali, SB, Hannan, MA, Ker, PJ, Rahman, SA, Le, KN, Begum, RA, Tiong, SK & Mahlia, TMI 2024, 'Grid-connected lithium-ion battery energy storage system towards sustainable energy: A patent landscape analysis and technology updates', Journal of Energy Storage, vol. 77, pp. 109986-109986.
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Wang, C, Wang, L, Yu, H, Soo, A, Wang, Z, Rajabzadeh, S, Ni, B-J & Shon, HK 2024, 'Machine learning for layer-by-layer nanofiltration membrane performance prediction and polymer candidate exploration', Chemosphere, vol. 350, pp. 140999-140999.
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Wang, F, Long, G & Zhou, JL 2024, 'Enhanced green remediation and refinement disposal of electrolytic manganese residue using air-jet milling and horizontal-shaking leaching', Journal of Hazardous Materials, vol. 465, pp. 133419-133419.
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Wang, F, Nghiem, LD, Sarkar, D, Rene, E, Zou, L, Hu, Y, Bui, TX, Fujioka, T, Bolzonella, D, Dong, Z, Du, K & Gin, K 2024, 'Environmental Technology & Innovation Holiday Season Message Dec 2023', Environmental Technology & Innovation, vol. 33, pp. 103507-103507.
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Wang, H, Xue, S, Qian, K, Li, Y & Wang, J 2024, 'Magnetic field-dependent dynamic behavior of magnetorheological grease composite in a wide temperature range: Experiment and modeling', Colloids and Surfaces A: Physicochemical and Engineering Aspects, vol. 686, pp. 133468-133468.
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Wang, Q, Jin, W, Qin, Y, Zhou, X, Han, W, Gao, S, Li, X, Naushad, M, Jiang, G & Liu, H 2024, 'Development of an alternative low-cost culture medium for a new isolated high-production DHA strain using kitchen wastewater', Process Safety and Environmental Protection, vol. 183, pp. 698-707.
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Wang, Q, Jin, W, Zhou, X, Chen, C, Han, W, Mahlia, TMI, Li, X, Jiang, G, Liu, H & Wang, Q 2024, 'Enhancing docosahexaenoic acid production in Aurantiochytrium species using atmospheric and room temperature plasma mutagenesis and comprehensive multi-omics analysis', Science of The Total Environment, vol. 912, pp. 169217-169217.
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Wang, Q, Wu, D, Li, G, Liu, Z, Tong, J, Chen, X & Gao, W 2024, 'Machine learning aided uncertainty quantification for engineering structures involving material-geometric randomness and data imperfection', Computer Methods in Applied Mechanics and Engineering, vol. 423, pp. 116868-116868.
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Wang, X, Li, W, Guo, Y, Kashani, A, Wang, K, Ferrara, L & Agudelo, I 2024, 'Concrete 3D printing technology for sustainable construction: A review on raw material, concrete type and performance', Developments in the Built Environment, vol. 17, pp. 100378-100378.
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Wang, Y, Wei, W, Dai, X, Wu, L, Chen, X & Ni, B-J 2024, 'Different Electron Donors Drive the Variation in the Performance of Medium-Chain Fatty Acid Production from Waste-Activated Sludge', ACS ES&T Engineering, vol. 4, no. 3, pp. 650-659.
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Wang, Z, Li, X, Liu, H, Li, J, Vodnar, DC, Lin, CSK & Wang, Q 2024, 'Life cycle assessment of traditional and innovative sludge management scenarios in Australia: Focusing on environmental impacts, energy balance, and economic benefits', Resources, Conservation and Recycling, vol. 204, pp. 107496-107496.
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Wang, Z, Li, X, Liu, H, Zhou, T, Li, J, Siddiqui, MA, Lin, CSK, Huang, S, Cairney, JM & Wang, Q 2024, 'Enhanced short-chain fatty acids production from anaerobic fermentation of secondary sludge by lignosulfonate addition: Towards circular economy', Journal of Cleaner Production, vol. 434, pp. 140252-140252.
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Wang, Z, Lu, J, Deng, P, Li, S, Wang, K, Zhang, C, Cheng, X, Zhang, J & Huang, Y 2024, 'Mechanisms of enhanced heat transfer of piston oscillating cooling in a heavy-duty diesel engine', Applied Thermal Engineering, vol. 245, pp. 122875-122875.
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Warmbier, E, Altaee, A, Różański, J, Kazwini, T, Różańska, S, Ibrar, I, Wagner, P, Al-Ejji, M & Hawari, AH 2024, 'Stability of Viscoelastic Solutions: BrijL4 and Sodium Cholate Mixtures with Metal Ions Across a Broad pH and Temperature Range', Langmuir, vol. 40, no. 3, pp. 1707-1716.
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Wu, C, Wan, B, Entezari, A, Fang, J, Xu, Y & Li, Q 2024, 'Machine learning-based design for additive manufacturing in biomedical engineering', International Journal of Mechanical Sciences, vol. 266, pp. 108828-108828.
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Wu, C, Wan, B, Xu, Y, Al Maruf, DSA, Cheng, K, Lewin, WT, Fang, J, Xin, H, Crook, JM, Clark, JR, Steven, GP & Li, Q 2024, 'Dynamic optimisation for graded tissue scaffolds using machine learning techniques', Computer Methods in Applied Mechanics and Engineering, vol. 425, pp. 116911-116911.
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Wu, L, Wei, W, Chen, Z, Shi, X, Qian, J & Ni, B-J 2024, 'Novel anaerobic fermentation paradigm of producing medium-chain fatty acids from food wastes with self-produced ethanol as electron donor', Chemical Engineering Journal, vol. 483, pp. 149236-149236.
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Wu, Y, Li, S, Zhang, J, Li, Y, Li, Y & Zhang, Y 2024, 'Dual attention transformer network for pixel-level concrete crack segmentation considering camera placement', Automation in Construction, vol. 157, pp. 105166-105166.
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Pixel-level crack segmentation remains a challenging task due to the trade-off between computational cost and accuracy, as well as the small size of real-world cracks, typically submillimeter in width, resulting in limited pixels for analysis. To address these challenges, this paper proposes a Pixel Crack Transformer Network (PCTNet) to investigate the impact of different camera placements on network performance. PCTNet adopts a hierarchical structure with Cross-Scale PatchEmbedding Layer and Dual Attention Transformer Block, enabling the generation of multi-scale feature maps and the fusion of global and local features. PCTNet achieves a reduction of up to 64% in computational cost compared to transformer networks while outperforming both convolutional and transformer networks, achieving 95.89% precision, 93.77% recall, 94.8% F1-score, and 90.53% mIoU. Furthermore, this work introduces Crack-R dataset, which encompasses crack images captured at varying distances, facilitating the evaluation of segmentation accuracy in real-world scenarios with different crack-to-pixel ratios.

Wu, Z, Rao, P, Cui, J, Chen, Q & Nimbalkar, S 2024, 'Lateral Response Evaluation of Existing Pile by Adjacent Pile Driving in Claye Slope', Geotechnical and Geological Engineering, vol. 42, no. 2, pp. 1313-1337.
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Xiang, G, Tao, M, Zhao, R, Zhao, H, Memon, MB & Wu, C 2024, 'Dynamic response of water-rich tunnel subjected to plane P wave considering excavation induced damage zone', Underground Space, vol. 15, pp. 113-130.
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Xu, S, Zeng, H, Yuan, P, Liu, J, Yang, T, Shao, R, Su, Y & Wu, C 2024, 'Experimental and numerical study of G-HPC slabs rapidly repaired by G-HPC canvas and G-UHPC under contact detonations', Engineering Structures, vol. 306, pp. 117877-117877.
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Xu, T, Xu, Z, Liu, Z, Zhang, Y, Castel, A & Yang, G 2024, 'Linear and nonlinear tensile creep of steam-cured UHPC', Cement and Concrete Composites, vol. 145, pp. 105323-105323.
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Xu, Y, Feng, Z, Gao, Y, Wu, C, Fang, J, Sun, G, Qiu, N, Steven, GP & Li, Q 2024, 'Topology optimization for additive manufacturing of CFRP structures', International Journal of Mechanical Sciences, vol. 269, pp. 108967-108967.
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Xu, Y, Liu, Y, Liang, C, Guo, W, Ngo, HH & Peng, L 2024, 'Favipiravir biotransformation by a side-stream partial nitritation sludge: Transformation mechanisms, pathways and toxicity evaluation', Chemosphere, vol. 353, pp. 141580-141580.
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Yaqoob, H, Tan, ES, Ali, HM, Ong, HC, Jamil, MA & Farooq, MU 2024, 'Sustainable energy generation from plastic waste: An in-depth review of diesel engine application', Environmental Technology & Innovation, vol. 34, pp. 103467-103467.
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Yin, S, Gao, L, Fan, X, Gao, S, Zhou, X, Jin, W, He, Z & Wang, Q 2024, 'Performance of sewage sludge treatment for the removal of antibiotic resistance genes: Status and prospects', Science of The Total Environment, vol. 907, pp. 167862-167862.
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Yu, L, Wang, Y & Pradhan, B 2024, 'Enhancing landslide susceptibility mapping incorporating landslide typology via stacking ensemble machine learning in Three Gorges Reservoir, China', Geoscience Frontiers, vol. 15, no. 4, pp. 101802-101802.
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Zainal, BS, Ker, PJ, Mohamed, H, Ong, HC, Fattah, IMR, Rahman, SMA, Nghiem, LD & Mahlia, TMI 2024, 'Recent advancement and assessment of green hydrogen production technologies', Renewable and Sustainable Energy Reviews, vol. 189, pp. 113941-113941.
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Zavahir, S, Riyaz, NS, Elmakki, T, Tariq, H, Ahmad, Z, Chen, Y, Park, H, Ho, Y-C, Shon, HK & Han, DS 2024, 'Ion-imprinted membranes for lithium recovery: A review', Chemosphere, vol. 354, pp. 141674-141674.
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Zhan, P, Wang, J, Zhao, H, Li, W, Shah, SP & Xu, J 2024, 'Impact of synthetic C-S-H seeds on early hydration and pore structure evolution of cement pastes: A study by 1H low-field NMR and path analysis', Cement and Concrete Research, vol. 175, pp. 107376-107376.
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Zhang, H, Yin, W, Liao, G, Liu, J, Dong, G, Wang, J, Guo, W & Ngo, HH 2024, 'The identification of a correlation between lipid content in the model diatom Phaeodactylum tricornutum and pH treatment strategies', Science of The Total Environment, vol. 915, pp. 169897-169897.
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Zhang, J, Chen, Z, Liu, Y, Wei, W & Ni, B-J 2024, 'Removal of emerging contaminants (ECs) from aqueous solutions by modified biochar: A review', Chemical Engineering Journal, vol. 479, pp. 147615-147615.
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Zhang, Q, Hu, J, Guo, H, Yang, C, Li, J, Liu, N, Guo, W, Dai, C, Wang, L, Tian, Y & Ngo, HH 2024, 'Preparation of C=C polymerization-oriented magnetic protein molecularly imprinted polymer and the application for membrane flux improvement', Desalination, vol. 573, pp. 117206-117206.
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Zhang, X, Zheng, H, Wang, Z, Su, Y, Chen, H, Liu, Q, Yao, P, Mameda, N, Ngo, HH & Nghiem, LD 2024, 'Pretreatment by a novel photo-electro reactor to control organic and biofouling during reverse osmosis filtration of reclaimed water', Chemical Engineering Journal, vol. 482, pp. 148893-148893.
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Zhang, Z, Li, X, Liu, H, Zhou, T, Wang, Z, Nghiem, LD & Wang, Q 2024, 'Biofouling control of reverse osmosis membrane using free ammonia as a cleaning agent', Journal of Membrane Science, vol. 694, pp. 122414-122414.
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Zhao, H, Hu, Y, Li, Y, Wang, K, Dehn, F & Li, W 2024, 'Triaxial compressive performance of recycled aggregate/glass sand concrete: Experimental study and mechanism analysis', Journal of Cleaner Production, vol. 442, pp. 141006-141006.
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Zhen, J, Zheng, M, Wei, W, Ni, S-Q & Ni, B-J 2024, 'Extracellular electron transfer (EET) enhanced anammox process for progressive nitrogen removal: A review', Chemical Engineering Journal, vol. 482, pp. 148886-148886.
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Zheng, Y, Ngo, HH, Luo, H, Wang, R, Li, C, Zhang, C & Wang, X 2024, 'Production of cost-competitive bioethanol and value-added co-products from distillers' grains: Techno-economic evaluation and environmental impact analysis', Bioresource Technology, vol. 397, pp. 130470-130470.
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Zhou, T, Li, X, Liu, H, Dong, S, Zhang, Z, Wang, Z, Li, J, Nghiem, LD, Khan, SJ & Wang, Q 2024, 'Occurrence, fate, and remediation for per-and polyfluoroalkyl substances (PFAS) in sewage sludge: A comprehensive review', Journal of Hazardous Materials, vol. 466, pp. 133637-133637.
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Zhuo, M, Chen, Z, Liu, X, Wei, W, Shen, Y & Ni, B-J 2024, 'A broad horizon for sustainable catalytic oxidation of microplastics', Environmental Pollution, vol. 340, pp. 122835-122835.
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Zuo, W, Li, D, Li, Q, Cheng, Q & Huang, Y 2024, 'Effects of intermittent pulsating flow on the performance of multi-channel cold plate in electric vehicle lithium-ion battery pack', Energy, vol. 294, pp. 130832-130832.
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Zuo, W, Li, F, Li, Q, Chen, Z, Huang, Y & Chu, H 2024, 'Multi-objective optimization of micro planar combustor with tube outlet by RSM and NSGA-II for thermophotovoltaic applications', Energy, vol. 291, pp. 130396-130396.
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Zuo, W, Wang, Z, Li, Q, Zhou, K & Huang, Y 2024, 'Numerical investigations on the performance enhancement of a hydrogen-fueled micro planar combustor with finned bluff body for thermophotovoltaic applications', Energy, vol. 293, pp. 130752-130752.
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Ngo, T & Indraratna, B 1970, 'Geocell-Reinforced Capping Layer in Rail Tracks Subjected to Cyclic Loading: Laboratory and Numerical Modeling Study', Geo-Congress 2024, Geo-Congress 2024, American Society of Civil Engineers, pp. 397-406.
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This research investigates the behavior of geocell-reinforced capping layers in ballasted tracks subjected to cyclic loading. Large-scale laboratory testing and numerical modeling techniques were employed. The cyclic tests applied a 25-t axle load under frequencies ranging from 10 to 30 Hz. The geocell-reinforced capping layers were modeled using the discrete element method. The geocell structure was simulated by bonding small balls to build a realistic geometry and shape. Model parameters were calibrated based on tensile and bending tests performed on the geocell material. The DEM simulations accurately represented the irregular shape of the capping aggregates using bonded circular particles. The findings indicated that the geocell effectively reduced both vertical and lateral displacements of the capping layer. The DEM analysis provided valuable insights into the contact force chain distributions within the capping assembly.

Vaseghi, S, Sheng, D, Kodikara, J & Khabbaz, H 1970, 'Deformation of Unbound Granular Materials in Three-Dimensional Stress State', Geo-Congress 2024, Geo-Congress 2024, American Society of Civil Engineers.
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Liu, Y, Huete, A, Xie, Q, Davies, JM, Beggs, PJ, Abdollahi, A, Pradhan, B & Zhang, X 2024, 'Informing spatial distributions and temporal variations of grass pollen sources in urban landscapes using 10 m Sentinel-2 data', Research Square Platform LLC.
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