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The present study depicts the disease incidences in the aqua farms of Moyna, West Bengal, India, during 2018-2020 and aqua-drugs used by farmers to combat diseases. A total of 132 fish disease incidences were reported, among which parasitic diseases were the most common (53.03%) followed by bacterial diseases (27.27%), diseases due to poor nutrition and environmental fluctuations (10.61%), and fungal diseases (9.09%), respectively. Out of the 53.03% parasitic disease incidences reported, Argulus (22.86%), Dactylogyrus (17.14%), Gyrodactylus (10.00%), Myxospores (10.00%), Lernaea (8.57%), Ichthyophthirius (5.71%) and Trichodina (4.29%) were the major disease-causing parasites. Among bacteria, Pseudomonas spp. and Aeromonas spp. were the most dominant genera encountered in diseased fish. Labeo catla was the most susceptible fish species followed by Labeo rohita, and Cirrhinus mrigala. Seasonal influence in disease occurrence was noticed. Monsoon and winter were favorable seasons for disease outbreaks. The influence of water quality parameters like hardness, pH, ammonia, total dissolved solids of water, and total organic carbon of sediment had a significant correlation with parasite abundance. Farmers of Moyna were observed to use a wide range of chemicals and aqua-drugs to control diseases and related problems. The majority of the fish farms of Moyna were found using feed additives and supplements (32.00%) followed by sanitizers and disinfectants (24.00%), probiotics (17.00%), anti-parasitic drugs (11.00%), antibiotics (8.00%), and other chemicals (20.00%). Lime (calcium carbonate) and zeolite along with sodium chloride, potassium permanganate, formalin, and calcium hypochlorite were extensively used as disinfectants in Moyna. Farmers being unaware of the adverse consequences of using chemicals and aqua-medicines are fully dependent on private aquaculture consultants for time-to-time advice, which may have augmented their indiscriminate use. Initiative for implementation of better management practices by creating awareness among farmers and adopting strict aquaculture policy guidelines might improve the scenario. [ABSTRACT FROM AUTHOR]

The authors designed a process, based on the Deferred Acceptance algorithm, to allocate undergraduate admissions to over 500 programs in 80 technical universities in India. They also addressed complex rules regarding affirmative action by incorporating algorithmic innovations. We designed and implemented a new joint seat allocation process for undergraduate admissions to over 500 programs spread across 80 technical universities in India, including the prestigious Indian Institutes of Technology (IITs). Our process is based on the well-known Deferred Acceptance algorithm; however, complex affirmative action seat reservations led us to make a number of algorithmic innovations, including (1) a carefully constructed heuristic for incorporating nonnested common quotas that span multiple programs, (2) a method to utilize unfilled reserved seats with no modifications to the core software, and (3) a robust approach to reducing variability in the number of reserved-category candidates admitted, while retaining fairness. Our new seat allocation process went into production in 2015; based on its success, including a significant and provable reduction in vacancies, it has since remained in successful use and has been improved continually. [ABSTRACT FROM AUTHOR]