Outputs (376)

RSM optimization and yield prediction for biodiesel produced from alkali-catalytic transesterification of pawpaw seed extract: thermodynamics, kinetics, and Multiple Linear Regression analysis (2022)
Journal Article
Ngige, G., Ovuoraye, P., Igwegbe, C., Fetahi, E., Okeke, J., Yakubu, A., & Onyechi, P. (2022). RSM optimization and yield prediction for biodiesel produced from alkali-catalytic transesterification of pawpaw seed extract: thermodynamics, kinetics, and Multiple Linear Regression analysis. Digital chemical engineering, 6, 100066. https://doi.org/10.1016/j.dche.2022.100066

Optimization of alkali transesterification of pawpaw seed extract to biodiesel using NaOH catalyst was carried out to analyze kinetics, thermodynamic parameters, and optimum conditions. Response Surface Methodology (RSM) and Multiple Linear Regressio... Read More about RSM optimization and yield prediction for biodiesel produced from alkali-catalytic transesterification of pawpaw seed extract: thermodynamics, kinetics, and Multiple Linear Regression analysis.

Effects of COVID-19 pandemic on computational intelligence and cybersecurity: survey (2022)
Journal Article
Mkaouer, M., Gaber, T., & Dagdia, Z. (2022). Effects of COVID-19 pandemic on computational intelligence and cybersecurity: survey. Applied Computational Intelligence and Soft Computing, 2(2), 173-194. https://doi.org/10.3934/aci.2022010

In late December 2019, the World Health Organization (WHO) announced the outbreak of a new type of coronavirus, named the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), also known as COVID-19. The deadliness of the virus has forced gov... Read More about Effects of COVID-19 pandemic on computational intelligence and cybersecurity: survey.

DeepClean : a robust deep learning technique for autonomous vehicle camera data privacy (2022)
Journal Article
Adeboye, O., Dargahi, T., Babaie, M., Saraee, M., & Yu, C. (2022). DeepClean : a robust deep learning technique for autonomous vehicle camera data privacy. IEEE Access, https://doi.org/10.1109/ACCESS.2022.3222834

Autonomous Vehicles (AVs) are equipped with several sensors which produce various forms of data, such as geo-location, distance, and camera data. The volume and utility of these data, especially camera data, have contributed to the advancement of h... Read More about DeepClean : a robust deep learning technique for autonomous vehicle camera data privacy.

Graph attention neural network for water network partitioning (2022)
Journal Article
Rong, K., Fu, M., Huang, Y., Zhang, M., Zheng, L., Zheng, J., …Yaseen, Z. (2022). Graph attention neural network for water network partitioning. Applied Water Science, 13(3), https://doi.org/10.1007/s13201-022-01791-4

Partitioning a water distribution network into several district metered areas is beneficial for its management. Partitioning a network according to its node features and connections remains a challenge. A recent study has realized water network parti... Read More about Graph attention neural network for water network partitioning.

Energy Flow and Functional Behavior of Individual Muscles at Different Speeds During Human Walking (2022)
Journal Article
Hu, Z., Ren, L., Wei, G., Qian, Z., Liang, W., Chen, W., …Wang, K. (2022). Energy Flow and Functional Behavior of Individual Muscles at Different Speeds During Human Walking. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 31, 294-303. https://doi.org/10.1109/tnsre.2022.3221986

Understanding the distinct functions of human muscles could not only help professionals obtain insights into the underlying mechanisms that we accommodate compromised neuromuscular system, but also assist engineers in developing rehabilitation device... Read More about Energy Flow and Functional Behavior of Individual Muscles at Different Speeds During Human Walking.

Exhaustion and over-activation of immune cells in COVID-19: challenges and therapeutic opportunities (2022)
Journal Article
Alahdal, M., & Elkord, E. (2022). Exhaustion and over-activation of immune cells in COVID-19: challenges and therapeutic opportunities. Clinical Immunology, 245, https://doi.org/10.1016/j.clim.2022.109177

Exhaustion of immune cells in COVID-19 remains a serious concern for infection management and therapeutic interventions. As reported, immune cells such as T effector cells (Teff), T regulatory cells (Tregs), natural killer cells (NKs), and antigen-pr... Read More about Exhaustion and over-activation of immune cells in COVID-19: challenges and therapeutic opportunities.

Editorial: metabolic reprogramming in breast cancer (2022)
Journal Article
Scatena, C., Naccarato, A., Ozsvari, B., & Scumaci, D. (2022). Editorial: metabolic reprogramming in breast cancer. Frontiers in Oncology, 12, https://doi.org/10.3389/fonc.2022.1081171

Metabolic reprogramming is an emerging hallmark of breast cancer. A common characteristic of tumor cells is the ability to obtain nutrients from a nutrient-deprived environment and to use them to sustain cancer progression, within crucial metabolic p... Read More about Editorial: metabolic reprogramming in breast cancer.

Measuring Environmental Resilience Using Q-Methods: A Malaysian Perspective (2022)
Journal Article
Tariq, H., Pathirage, C., Fernando, T., Sulaiman, N., Nazir, U., Abdul Latib, S. K. K., & Masram, H. (2022). Measuring Environmental Resilience Using Q-Methods: A Malaysian Perspective. Sustainability, 14(22), 14749. https://doi.org/10.3390/su142214749

Communities increasingly need tools that can help them assess the environmental risks they face to understand better their capacities in mitigation, preparedness, response, and recovery. Environmental resilience (ER) is a crucial feature of community... Read More about Measuring Environmental Resilience Using Q-Methods: A Malaysian Perspective.

Examining the impact of artificial intelligence and social and computer anxiety in e-learning settings: students’ perceptions at the university level (2022)
Journal Article
Almaiah, M., Alfaisal, R., Salloum, S., Hajjej, F., Thabit, S., El-Qirem, F., …Al-Maroof, R. (2022). Examining the impact of artificial intelligence and social and computer anxiety in e-learning settings: students’ perceptions at the university level. Electronics, 11(22), https://doi.org/10.3390/electronics11223662

The learning environment usually raises various types of anxiety based on the student’s abilities to use technology and their abilities to overcome the negative feelings of an individual being watched all the time and criticized. Hence, learners stil... Read More about Examining the impact of artificial intelligence and social and computer anxiety in e-learning settings: students’ perceptions at the university level.

Influence of variable thermal conductivity and dissipation on magnetic Carreau fluid flow along a micro-cantilever sensor in a squeezing regime (2022)
Journal Article
Beg, O., Muhammed, R., Basha, H., Reddy, G., & Shankar, U. (2022). Influence of variable thermal conductivity and dissipation on magnetic Carreau fluid flow along a micro-cantilever sensor in a squeezing regime. Waves in Random and Complex Media, https://doi.org/10.1080/17455030.2022.2139013

Mathematical modelling of squeezing flows finds numerous applications in biological, mechanical and medical engineering. Sensors feature such flows and can be effectively utilized to control vibrations and regulate lubrication. Magnetic fluids are cr... Read More about Influence of variable thermal conductivity and dissipation on magnetic Carreau fluid flow along a micro-cantilever sensor in a squeezing regime.