Integrated Scheduled Waste Management System in Kuala Lumpur Using Expert System

Over the past decade, Malaysia has enjoyed tremendous growth in its economy. This has brought about a population growth along with a great influx of foreign workforce to cities. This resulted in an increase in the amount of waste scheduled generated. Furthermore, scheduled waste management has long been a problem area for local authorities in Kuala Lumpur. Continued illegal dumping by waste generators is being practiced at large scale due to lack of proper guidance and awareness. This report reviewed and discussed about service provided for scheduled waste management by an authority and international scenario of scheduled waste management. An expert system was developed to integrate scheduled waste management in Kuala Lumpur. The knowledge base was acquired through journals, books, magazines, annual report, and web sites. An object oriented expert system shell, Microsoft Visual Basic 2005 Express Edition was used as the building tools for the prototype development. The overall development of this project has been carried out in several phases which are problem identification, problem statement and literature review, identification of domain experts, prototype development, knowledge acquisition, knowledge representation and prototype development. Scheduled waste expert system is developed based on five types of scheduled waste management which are label requirements, packaging requirements, impact of scheduled wastes, recycling of scheduled wastes, and recommendations. Besides, it contains several sub modules by which the user can obtain a comprehensive background of the domain. The output is to support effective integrated scheduled waste management

Clinical performance of reverse transcription loop mediated isothermal amplification COVID-19 assay on gold- nanoparticle-modified screen-printed Carbon Electrode using differential pulse voltammetry

The World Health Organization (WHO) has recommended real-time reverse transcription polymerase chain reaction (RT-PCR) as the gold standard for coronavirus disease detection. In this study, we aim to validate the clinical performance of reverse transcription loop-mediated isothermal amplification (RT-LAMP) assay on gold-nanoparticle-modified screen-printed carbon electrode (AuNP/SPCE) using differential pulse voltammetry (DPV) and to compare it with real-time RT-PCR. The shape of the electrodeposited AuNP on SPCE was quasi-spherical with a size of ±500 nm. The developed RT-LAMP primer was designed from the GenBank database using the NCBI Multiple Alignment tools and Jalview software. Nasopharyngeal clinical samples were obtained from suspected COVID-19 patients (n = 148). The RT-LAMP products were dropped on the modified AuNP/SPCE under DPV setting, which resulted in current change (∆I) responses. The positive and negative samples produced significantly different ∆I signals with a p-value <0.0001 at a 95% confidence interval using Student’s t-test. The RT-LAMP assay using Au/SPCE exhibited a 30 s response time per analysis. The clinical sensitivity and specificity obtained were 79.7% and 85.1%, respectively, with a detection limit of 0.4 copies µl−1. Hence, this proposed method is suitable for COVID-19 RNA detection in resource-limited settings

Integrated scheduled waste management system in Kuala Lumpur using expert system

Over the past decade, Malaysia has enjoyed tremendous growth in its economy. This has brought about a population growth together with a great influx of foreign workforce to the cities. This resulted in an increase in the amount of scheduled waste generated. Furthermore, scheduled waste management has long been a problem for local authorities in Kuala Lumpur. Continued illegal dumping by waste generators is being practiced at large scale due to lack of proper guidance and awareness. This report reviewed and discussed service provided for scheduled waste management by an authority and international scenario of scheduled waste management. An expert system was developed to integrate scheduled waste management in Kuala Lumpur. The knowledge base was acquired through journals, books, magazines, annual report and web sites. An object oriented expert system shell, Microsoft Visual Basic 2005 Express Edition was used as the building tool for the prototype development. The overall development of this project was carried out in several phases which are problem identification, problem statement, literature review, identification of domain experts, prototype development, knowledge acquisition, knowledge representation and prototype development. Scheduled waste expert system is developed based on five types of scheduled waste management which are label requirements, packaging requirements, impact of scheduled wastes, recycling of scheduled wastes and recommendations. Besides, it contains several sub-modules by which the user can obtain a comprehensive background of the domain. The output is to support effective integrated scheduled waste management