Science, Technology and Communication Journal

Plasma argon particle interactions in a non-equilibrium state through the Maxwell-Boltzmann kinetic equation

2024-12-12T14:41:25+07:00

Non-thermal Argon plasmas serve multiple functions, particularly in healthcare and industrial applications. Numerous particles of the same species exhibit varying velocities, referred to as a 'population'. The distribution function is a standard method for characterizing a population. The speed and energy distribution functions in the Maxwell-Boltzmann equation are simulated utilizing MATLAB. The density of each species was numerically calculated using the Runge-Kutta method. This research reviews various Argon species, including Ar*, Ar⁺, Ar(1s5), Ar(1s4), Ar(1s3), Ar(1s2), Ar, and electrons. The parameters utilized include a pressure of 10 mTorr, an Argon temperature about 400 K, and an electron temperature about 30,000 K. The maximum velocity probability density value is observed in the Ar⁺ species at 6.18 x 10⁷ (m/s)^-1, while the minimum value is found in electrons at 1.93 (m/s)^-1. The maximum energy probability density value is observed in the Ar⁺ species at 2.13 x 10²⁹ (Joule)^-1, while the minimum value is found in the Ar(1s3) species at 1.40 x 10²⁵ (Joule)^-1. The time evolution of the distribution function, independent of the coordinates r, is associated with v, at t = 10^-8 s. The velocity distribution function is significantly affected by the density value, while the distribution function is contingent upon the velocity.

Analysis of ferroelectric material BaTiO3 and mangosteen leaf extract using FTIR characterization

2024-10-30T11:11:57+07:00

Infusion monitoring strategies with wireless systems in infectious and dangerous diseases

2024-08-18T14:32:03+07:00

Intravenous (IV) infusion therapy is a medical procedure that involves the insertion of fluids directly into the patient's vein using a needle/cannula. Mismanagement during infusion fluids replacement due to negligence and shortage of medical personnel and human error must be addressed promptly. Increasing in numbers of patients throughout the Covid-19 pandemic has raised the use of infusion and the error percentage in manual infusion monitoring has also escalated, as consequence, the needs of automatic-handy tools with affordable price become a concern. The infusion monitoring system used consists of three parts, namely sensing and computing, communication, and User. This device allows monitoring and visualization of IV therapy infusion for each patient in real-time, at a remote location.

The influence of experimental learning methods on student interest and learning outcomes in physics lessons

2024-08-18T13:51:48+07:00

Classroom action research (CAR) has been carried out with the aim of knowing the level of student achievement after being given an experimental learning method. This is because the experimental learning technique is a way of teaching in which students conduct an experiment about something and observe the process. Write the results of the experiment then the results of the observations are submitted and evaluated by the teacher. The CAR model used is the problem-based learning flow and the Spiral and Taggart models. The results of the evaluation showed that student achievement had increased after the experimental method of learning was compared with conventional learning models.

Potential multi-detection manifestation of ultra-sensitive sensors based on ZnO thin films and metamaterials

2024-08-18T14:16:42+07:00

This study aims to observe the ability of a thin layer of zinc oxide (ZnO) which is applied to sensor technology. Currently, the low detection limit of the sensor is a problem in its use. Metamaterials offer resonant properties in increasing sensitivity, but their performance is still below the current high modern technology. The high engineering properties of metamaterials provide opportunities for realizing renewable metamaterials. ZnO thin layer semiconductor material as a transparent conductive oxide can provide a wide detection potential. The ability of ZnO thin films to be adapted to metamaterial sensors can be further investigated and improved for the future.