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Objective: Due to the alarming rise in COVID-19 cases every day in India, numerous academics are already developing a variety of math-based estimation models to forecast the pandemic future course. This paper makes use of publicly available data to anticipate certain COVID-19 trajectories in India. Methods: We used the Auto-Regressive Integrated Moving Average Model, a time series model, to anticipate the number of COVID-19 infected cases every day soon. People need to consume nutritious food that is well-balanced and contains the right number of calories, nutrients, as well as vitamins for strong development, bearing in mind that sustaining and repairing bodily tissues is the goal while preventing unfavorable illnesses and disease. Results: Recent studies have shown that healthy eating can help lower the possibilities of developing cancer, cardiovascular disease and for COVID patients. Therefore, an optimization strategy and LINDO software was used to solve the model. This study offers an exhaustive daily meal plan created especially for hospital patients, acting as a helpful resource for school administrators. With six different food choices, the diet plan makes sure that you get all the nutrients you need each day at a reasonable price. Conclusions: The model is solved using LINDO software in the study, which shows how effective it is when compared to other heuristic techniques like biological algorithms. It is determined through thorough investigation that the chosen meals are both financially and nutritionally feasible to serve in ho spital settings. Hospital patients make up the study's participants, and each day's total cost comes to Rs109.34. This cost makes it possible to deliver meals that are minimally more costly but of higher quality, improving the patients' overall nutritional value. [ABSTRACT FROM AUTHOR]

Mobile Ad hoc Network is a network of independent nodes, which are mobile, connected through the wireless medium and highly dynamic by nature, and exemplified by the absence of physical infrastructure. The diversity and variations in wireless mobile devices are generating the revolutionary changes in the way users are using the services and resources for their purposes, at the same time it also poses many challenges to the researchers. In this paper, authors contribute toward the design of a new adaptive Quality of Service (QoS) paradigm for MANET. An honest attempt is made to develop an approach to decrease the overall delay, i.e. End-to-End delay and increase the efficiency of Protocol and also tried to make it more reliable by increasing the Packet Delivery Ratio (PDR) by applying Dijkstra Algorithm (for finding shortest and optimal route) and reducing queuing delay for increasing throughput by using a new hybrid algorithm. The modified AODV, which is named as Improved AODV (IAODV), enhance the "Packet Delivery Ratio" and reduce the "Queuing Delay". [ABSTRACT FROM AUTHOR]

A mobile ad hoc network (MANET) is a self-configuring infrastructure less network of mobile devices connected by wireless and it getting popular means of data transfer these days. MANETs have become the subject of intensive research over the past decade. MANET is an autonomous system of mobile nodes and is free to move independently in any direction at varying speeds, and will therefore change its links to other devices frequently. Each node must forward traffic unrelated to its own use, and therefore be a router. Each flow from the source to the destination traverses multiple hops of wireless links. In the mobile ad hoc networks, due to the multi-hop of the data, the limited bandwidth and the dynamic changes of the network topology, the network performance is hindered. It is the need that quality of service has to be improved. Now days these types networks are gaining popularity in the form of wi-fi zones etc. MANETs are a kind of wireless ad hoc networks that usually has a routable networking environment on top of a Link Layer ad hoc network. The need has been felt to improve the services of MANET. In this paper an attempt is made to improve the quality of service QoS of MANET by reducing queuing delay in turn increasing throughput by proposing a new hybrid algorithm. [ABSTRACT FROM AUTHOR]