With recent developments in the technological world, the issue of deterioration has been addressed efficiently through preservation technology by numerous researchers. The fundamental concept of preservation technology involves an investment that is majorly dependent on the initial deterioration rate, irrespective of the selling price of the product. Owing to this, two different products having the same deterioration rate but different selling price requires equal investment, which is irrational. Further, the investment in preservation technology was considered to be per unit time irrespective of the number of units being held, which is again a major drawback of the existing literature. Thus, this paper attempts to bridge the gap by proposing a realistic way of implementing preservation technology, where not only the investment is per unit, but also depends on the selling price of that unit. The model jointly optimizes the selling price, the fraction of per unit profit to be invested in preservation technology, and cycle length to maximize the overall profit. The proposed model proves out to be economically more viable, through superior cost management, when compared with the existing model. The model is further illustrated with comparative numerical examples and graphical representations. Moreover, sensitivity analysis is performed to convey model characteristics.

Dengue infection is endemic in India and can be associated with other illnesses like nephrotic syndrome [1]. Dengue and nephrotic syndrome share a common spectrum of presentation of plasma leakage leading to proteinemia and hypoalbuminemia further manifesting in form of generalized edema, pleural effusion, and ascites [2]. Hence, dengue infection features may mimic nephrotic syndrome in clinical practice and vice versa. Therefore nephrotic syndrome features may be masked and interpreted clinically entirely as dengue infection in the endemic area at peak season [1]. We report a case of nephrotic syndrome complicated by severe dengue infection and pediatric Multisystemic Inflammatory Syndrome.

Colitis-associated cancers are a metastatic form of inflammatory bowel disease considered a vital health associated risk factor causing the death of approximately five lacs people every year throughout the world. There are trillions of bacteria that are associated with our gut as a part of our healthy microbiome. The microbiota plays a plethora of important role in determining the normal physiological processes of the cells and, subsequently, the body. The imbalance in microbiome diversity (dysbiosis) due to abnormal dietary habitats, hectic lifestyle, and other factors thus alters the normal physiological processes of the body, thereby causing several chronic diseases. Therefore, it is essential to maintain the homeostasis between the host and their gut microbiome. So, based on the facts mentioned above, this chapter is entirely devoted to providing an overview of colitis-associated cancer and their relation with the dysbiosis of a healthy microbiome. Moreover, the mechanism involved in the development of colorectal cancer and its preventive insights has also been addressed.

The COVID-19 pandemic has resulted in disruption of many supply chains, majorly after the announcement of lockdown in numerous countries as a precaution for the novel coronavirus transmission. The decisions regarding inventory policies are greatly affected by the production rates and volumes, hence during this pandemic, flexibility in production rates and volumes becomes a necessity to handle demand uncertainties. Another big challenge that comes upfront is about rebuilding trust cum awareness in consumers about safe production, services, home deliveries through constant investment in advertisements. As quality and safety becomes the need of the hour, the manufacturers cannot afford any chance to compromise with supreme quality standards. Hence, the paper employs two stage rigorous inspection practices for the imperfect products that arise from the production process, the first inspection process being error prone (delivering Type-I and Type-II errors) while the second one being perfect. The developed model maximizes the manufacturer's total profit by optimizing the investment in service and advertisement with flexible production rate. A numerical example and comprehensive sensitivity analysis are illustrated to support the pragmatism of the model.