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BACKGROUND Microbial pathogens, mainly bacteria, are a major cause of food spoilage resulting in several foodborne diseases. Food spoilage can be prevented by the application of chemical preservatives in the food industry but such process has harmful effects on human health and causes the introduction of chemicals in several food chains, leading to toxicity and long-term complications. Due to such adverse effects, the need to find natural preservatives that are safer to use, effective and less complicated is increasing. OBJECTIVES This study is based on plant extracts that play a major role in microbicidal action (the use of natural preservatives is preferred over chemical ones). Antimicrobial action of different plant extracts was assessed using Staphylococcus aureus and Escherichia coli as experimental bacterial strains. MATERIAL AND METHODS Ethanolic extracts of different plants like Punica granatum, Acacia catechu and Phyllanthus emblica were highly effective against the both analyzed bacterial strains at a dosage of 10 mg/mL, while the extracts of Ocimum bacilicum and Quercus infectoria were effective only against S. aureus and E. coli, respectively. RESULTS Punica granatum and Phyllanthus emblica extracts were found to be the most effective and exhibited bacteriostatic and bactericidal activities against the highly infectious strains of pathogenic bacteria causing food spoilage, with minimum inhibitory concentration (MIC) of 2.5 mg/mL and minimum bactericidal concentration (MBC) of 5 mg/mL. CONCLUSIONS The plant extracts used in the study were highly effective in reducing bacterial contamination and can be used as an alternative to chemical preservatives to avoid and control foodborne diseases and for preservation of food with no health-related hazards caused by chemicals.

This thesis investigates the use of packet header information in trace files derived from Internet measurements at MAWI from the years 2020, 2021, and 2022 and scrutinizes these information to report the key changes in the Internet header fields over time. That is, by observing how certain header fields are used, we can determine whether or not the Internet is using newly developed network mechanisms. To do this, we parse the trace files and gather all the unusual data that was discovered in the packets to search for atypical data in the packets. Our research shows that there are no recognizable patterns in the data, confirming no significant changes in the header fields throughout the years. However, we get some exciting findings which leave room for future deep analysis, and the tool we implemented to carry out the analysis have a good chance for further development.

COVID-19 pandemic has caused a large-scale havoc in almost every country across the globe, putting major challenges for the healthcare system in many parts of the world. Several of the laboratories are running in the race with undying efforts for developing potential vaccine, drugs or therapeutics to treat or prevent the infection. However, with the limited time window and high rate of infection, the task is very big for humanity to find a cure. With hundreds of genomic data of SARS-CoV-2 virus isolates from humans are being submitted almost every day, it is coming into knowledge that virus is mutating, slower in countries with sporadic cases, but higher in countries experiencing large outbreak. These types of mutations in virus may bring challenges in vaccine or therapeutic development for use in each and every country, as each hotspot region may have their own pattern of mutations in virus with ongoing outbreak. In our current study, we retrieved non-synonymous mutation data of around 12,225 SARS-CoV-2 virus samples isolated from humans globally, and discovered all mutations that are collectively happening in antibody epitope regions of the virus country-wise. We found a few numbers of epitope regions in SARS-CoV-2 that are highly conserved collectively in all variants and may be used for epitope-based vaccine development for whole world. We also found epitope regions that are conserved collectively in SARS-CoV-2 variants country-wise and can be used for customized epitope-based vaccine development in each different country.