The following manuscripts will be appeared in September 2022 as vol. 4 , issue no. 2:

Proofread No. 1. Optical, Electrical Properties and Surface Morphology of Thermal Evaporated Zinc Telluride (ZnTe) Thin Films for Photovoltaic Applications

Rasaq Ayinla Babatunde1,2,* and Rasaki Kola Odunaike1

1Department of Physics, Faculty of Science,Olabisi Onabanjo University,Ago-Iwoye, Ogun State, Nigeria.

2Department of Science Laboratory Technology Department, School of Pure and Applied Sciences, The Federal Polytechnic, Ilaro. Ogun  State, Nigeria.

*Corresponding author: rasaq.babatunde@federalpolyilaro.edu.ng, ORCiD: 0000-0002-8288-9100

https://doi.org/10.33093/jetap.2022.4.2.1, pp. 1 - 4.

Manuscript Received: 2 February 2021, Accepted: 18 April 2022, Published: 15 September 2022

Abstract - ZnTe bilayer thin films were deposited onto soda-lime glass by a thermal vacuum evaporation technique using the NANO 36 thermal evaporator under a vacuum pressure of 2.9 × 10-5 torr. The optical characteristics of the film were measured using an AVANTEX UV spectrophotometer in the wavelength range from 239.534 nm to 999.495 nm. Also, the electrical characteristics of the thin films were investigated using KEITHLEY four-point probe techniques. The investigation of the optical properties of the thin films as-deposited and annealed at different temperatures showed high transmission in the NIR region with good absorption in the visible and UV regions. The extrapolated band gap energies were 2.60 eV and 3.20 eV for annealed and as-deposited samples, respectively.  electrical resistivity decreased as the annealing temperature increases. The images of the film as-deposited and on annealing have a uniform distribution on the glass slides.

Keywords— Hetero-junction, Evaporator, ZnTe and Band gaps

 

Proofread No. 2. Optimizing Vaccine Distribution Using Sine Cosine Algorithm with Mutation

Amirul Hakim Saifulezam, Khairul Ikhwan Mohamad and Nor Azlina Ab. Aziz*
Faculty of Engineering and Technology, Multimedia University, Jalan Ayer Keroh Lama, Melaka, Malaysia.

*Corresponding author: azlina.aziz@mmu.edu.my, ORCiD: 0000-0002-2119-6191

https://doi.org/10.33093/jetap.2022.4.2.2, pp. 5 - 10.

Manuscript Received: 18 March 2022, Accepted: 26 April 2022, Published: 15 September 2022

Abstract – Vaccination is the best approach in curbing the spread of a pandemic. However, during pandemic one of the challenge is limited number of vaccine due to limited manufacturing capacity and high demand. Therefore, optimal vaccine distribution is needed to ensure maximum effectiveness in decreasing the total infections in the population. In this paper, the vaccine distribution is optimized using sine cosine algorithm improved with mutation (SCAmut). The SEIR model of H1N1 pandemic in 2009 is used as the case problem here. The effectiveness of SCAmut vaccine deployment is studied using two factors, which are vaccine coverage percentage and vaccine releasing time. The algorithm's result is compared with three traditional methods and original SCA without mutation. The findings suggested that the proposed SCAmut is able to provide more effective vaccination distributions better than the three traditional methods and also the original SCA.

Keywords— Vaccine deployment, H1N1, SEIR, Sine cosine Algorithm, Mutation