In addition to the primary treatment, biological treatment is used to reduce inorganic and organic components in the wastewater. The separation of biomass from treated wastewater is usually important to meet the effluent disposal requirements, so the MBBR system has been one of the most important modern technologies that use plastic tankers to transport biomass with wastewater, which works in pure biofilm, at low concentrations of suspended solids. However, biological treatment has been developed using the active sludge mixing process with MBBR. Turbo4bio was established as a sustainable and cost-effective solution for wastewater treatment plants in the early 1990s and ran on minimal sludge, and is easy to maintain. This has now evolved into a technology that has proven successful worldwide with trouble-free operation and improved Turbo4bio technology, an advanced high-intensity ventilation system fully enclosed and non-mechanical, ensuring odor-free operation, simple and environmentally friendly operation and long life of domestic and commercial wastewater treatment And the municipality. In this paper, a comparison between MBBR and T4B treatment system was made. As a general review of previous research and experiments, it is possible to reduce the total cost based on building all plant structures to obtain concentrations within the permissible limits of pollutants at the final outlets. It is clear that the use of MBBR has contributed to the realization of simultaneous biological phosphorous and nitrogen removal experiments, which aim to change the more significant methods developed from conventional methods, from the advantages of the Turbo 4 Bioreactor with low cost and high production performance, with less energy consumption and lower operating costs because it does not require Chemicals for processing, cleaning, and disinfection. It only takes small amounts of chlorine, the use of a compressor system for air, and rapid recovery providing high rates of generation of biomass to restore the plant quickly.
Digital tampering identification, which detects picture modification, is a significant area of image analysis studies. This area has grown with time with exceptional precision employing machine learning and deep learning-based strategies during the last five years. Synthesis and reinforcement-based learning techniques must now evolve to keep with the research. However, before doing any experimentation, a scientist must first comprehend the current state of the art in that domain. Diverse paths, associated outcomes, and analysis lay the groundwork for successful experimentation and superior results. Before starting with experiments, universal image forensics approaches must be thoroughly researched. As a result, this review of variou
... Show MoreThis work, deals with Kumaraswamy distribution. Kumaraswamy (1976, 1978) showed well known probability distribution functions such as the normal, beta and log-normal but in (1980) Kumaraswamy developed a more general probability density function for double bounded random processes, which is known as Kumaraswamy’s distribution. Classical maximum likelihood and Bayes methods estimator are used to estimate the unknown shape parameter (b). Reliability function are obtained using symmetric loss functions by using three types of informative priors two single priors and one double prior. In addition, a comparison is made for the performance of these estimators with respect to the numerical solution which are found using expansion method. The
... Show MoreIn this review of literature, the light will be concentrated on the role of stem cells as an approach in periodontal regeneration.
DBN Rashid, Al- Utroha Journal, 2018
In this article, a new deterministic primality test for Mersenne primes is presented. It also includes a comparative study between well-known primality tests in order to identify the best test. Moreover, new modifications are suggested in order to eliminate pseudoprimes. The study covers random primes such as Mersenne primes and Proth primes. Finally, these tests are arranged from the best to the worst according to strength, speed, and effectiveness based on the results obtained through programs prepared and operated by Mathematica, and the results are presented through tables and graphs.