Outputs (310)

From fuzzy-TOPSIS to machine learning: A holistic approach to understanding groundwater fluoride contamination. (2023)
Journal Article
Nandi, R., Mondal, S., Mandal, J., & Bhattacharyya, P. (2024). From fuzzy-TOPSIS to machine learning: A holistic approach to understanding groundwater fluoride contamination. Science of the Total Environment, 912, 169323. https://doi.org/10.1016/j.scitotenv.2023.169323

Fluoride (F ) contamination of groundwater is a prevalent environmental issue threatening public health worldwide and in India. This study targets an investigation into spatial distribution and contamination sources of fluoride in Dhanbad, India, to... Read More about From fuzzy-TOPSIS to machine learning: A holistic approach to understanding groundwater fluoride contamination..

Advanced (photo)electrocatalytic approaches to substitute the use of fossil fuels in chemical production (2023)
Journal Article
Centi, G., Perathoner, S., Genovese, C., & Arrigo, R. (in press). Advanced (photo)electrocatalytic approaches to substitute the use of fossil fuels in chemical production. Chemical Communications, 59(21), 3005-3023. https://doi.org/10.1039/d2cc05132j

Electrification of the chemical industry for carbon-neutral production requires innovative (photo)electrocatalysis. This study highlights the contribution and discusses recent research projects in this area, which are relevant case examples to explor... Read More about Advanced (photo)electrocatalytic approaches to substitute the use of fossil fuels in chemical production.

Hamiltonian-path based constraint reduction for deployable polyhedral mechanisms (2023)
Journal Article
Gu, Y., Zhang, X., Wei, G., & Chen, Y. (in press). Hamiltonian-path based constraint reduction for deployable polyhedral mechanisms. Mechanism and Machine Theory, 193, 105563. https://doi.org/10.1016/j.mechmachtheory.2023.105563

Most of the deployable polyhedral mechanisms (DPMs) are multi-loop overconstrained mechanisms that causes barriers for their applications due to the issues in assembly, operation and control. Yet, constraint reduction for these mult... Read More about Hamiltonian-path based constraint reduction for deployable polyhedral mechanisms.

Appraisal of treated drinking water quality from arsenic removal units in West Bengal, India: Approach on safety, efficiency, sustainability, future health risk and socioeconomics (2023)
Journal Article
Das, A., Joardar, M., De, A., Mridha, D., Ghosh, S., Das, B., …Roychowdhury, T. (in press). Appraisal of treated drinking water quality from arsenic removal units in West Bengal, India: Approach on safety, efficiency, sustainability, future health risk and socioeconomics. Journal of Hazardous Materials, 465, 133216. https://doi.org/10.1016/j.jhazmat.2023.133216

The present study depicts the true failed scenario of the arsenic (As) removal units (ARU) in West Bengal by evaluating their treated water quality. Annual As removal efficiency of the 12 studied ARUs range between 35.2% and 82.6%.... Read More about Appraisal of treated drinking water quality from arsenic removal units in West Bengal, India: Approach on safety, efficiency, sustainability, future health risk and socioeconomics.

Discovering the core stakeholders in the Nigerian urban water supply system (2023)
Journal Article
Gyau Baffour Awuah, K., & Bijimi, C. K. (2024). Discovering the core stakeholders in the Nigerian urban water supply system. #Journal not on list, 10(1), 8. https://doi.org/10.1007/s40899-023-00986-0

Core stakeholders’ engagement and involvement are now a sine qua non of resources administration and management. This followed the emergence of pluralistic forms of governance, which call for greater democracy and emphasises transparency, accountabil... Read More about Discovering the core stakeholders in the Nigerian urban water supply system.

Deep Learning-Based Prediction of Alzheimer’s Disease Using Microarray Gene Expression Data (2023)
Journal Article
Abdelwahab, M. M., Al-Karawi, K. A., Semary, H. E., Al-Karawi, K. A., & Semary, H. E. (in press). Deep Learning-Based Prediction of Alzheimer’s Disease Using Microarray Gene Expression Data. Biomedicines, 11(12), 3304. https://doi.org/10.3390/biomedicines11123304

Alzheimer’s disease is a genetically complex disorder, and microarray technology provides valuable insights into it. However, the high dimensionality of microarray datasets and small sample sizes pose challenges. Gene selection techniques have emerge... Read More about Deep Learning-Based Prediction of Alzheimer’s Disease Using Microarray Gene Expression Data.

Understanding the functioning of urban climate finance through topologies of reach (2023)
Journal Article
Grafe, F., Forino, G., Fraser, A., Hilbrandt, H., & Morris, J. H. (2023). Understanding the functioning of urban climate finance through topologies of reach. City, 1-16. https://doi.org/10.1080/13604813.2023.2284383

Urban climate action is increasingly understood through the lens of finance: through financial agendas, interests, and practical tools which enable ‘bankable’ or profitable interventions. While the literature is rife with criticism of the normative f... Read More about Understanding the functioning of urban climate finance through topologies of reach.

Fostering information security policies compliance with ISA-95-based framework: an empirical study of oil and gas employees (2023)
Journal Article
Faizan Ali, R., Dominic, P. D. D., Hina, S., & Naseer, S. (in press). Fostering information security policies compliance with ISA-95-based framework: an empirical study of oil and gas employees. International Journal of Information Security, https://doi.org/10.1007/s10207-023-00786-9

Oil and gas (O&G) organizations are progressively being digitalized in order to facilitate substantial information flow to remain competitive in the information age. This critical sector is spearheading the establishment of technical security measure... Read More about Fostering information security policies compliance with ISA-95-based framework: an empirical study of oil and gas employees.

Application of autochthonous extremophilic Bacillus xiamenensis in remediation of groundwater- A sorption-based metal cleaning approach (2023)
Journal Article
Charan, K., Mandal, J., & Bhattacharyya, P. (2024). Application of autochthonous extremophilic Bacillus xiamenensis in remediation of groundwater- A sorption-based metal cleaning approach. Groundwater for Sustainable Development, 24, https://doi.org/10.1016/j.gsd.2023.101063

Surface water and groundwater used for drinking and agricultural purposes are contaminated due to anthropogenic and geogenic activities. Escalated metal concentrations, xenobiotic pollutants, competitive ions, and reusability issues are hindrances to... Read More about Application of autochthonous extremophilic Bacillus xiamenensis in remediation of groundwater- A sorption-based metal cleaning approach.

The trouble with a cuddle: Families’ experiences of supervising interactions between children in middle childhood and the family dog (2023)
Journal Article
Baatz, A., Bidgood, A., Taylor, G., & Young, R. (in press). The trouble with a cuddle: Families’ experiences of supervising interactions between children in middle childhood and the family dog. Human-Animal Interactions, https://doi.org/10.1079/hai.2023.0042

Background: There is growing scientific interest in the benefits for children of interacting with and engaging with domestic dogs. Since the effects of such pairings on the dog are under explored, this study aimed to explore the lived experiences of... Read More about The trouble with a cuddle: Families’ experiences of supervising interactions between children in middle childhood and the family dog.