The Malaysian government's ongoing movement control order (MCO) to prevent coronavirus disease 2019 (COVID-19) spread, has disrupted the teaching and learning (T&L) activities of higher education institutions in the country. This paper seeks to outline the steps taken by the Department of Family Medicine of the International Medical University (IMU), Malaysia, to adapt its online teaching and learning activities. The five tips are: i) understand how to use online T&L platforms; ii) teachers should create multiple communication channels; iii) ensure attendance is captured; iv) enhance the online T&L experience and v) conduct online formative assessments.
In the current study, we developed an adaptive algorithm that can predict oil mobilization in a porous medium on the basis of optical data. Associated mechanisms based on tuning the electromagnetic response of magnetic and dielectric nanoparticles are also discussed. This technique is a promising method in rational magnetophoresis toward fluid mobility via fiber Bragg grating (FBG). The obtained wavelength shift due to Fe3O4 injection was 75% higher than that of dielectric materials. This use of FBG magneto-optic sensors could be a remarkable breakthrough for fluid-flow tracking in oil reservoirs. Our computational algorithm, based on piecewise linear polynomials, was evaluated with an analytical technique for homogeneous cases and achieved 99.45% accuracy. Theoretical values obtained via coupled-mode theory agreed with our FBG experiment data of at a level of 95.23% accuracy.