Despite significant advances in pathogen survival and food cleaning measures, foodborne diseases continue to be the main reason for hospitalization or other fatality globally. Conventional antibacterial techniques including pasteurization, pressurized preparation, radioactivity, as well as synthetic antiseptics could indeed decrease bacterial activity in nutrition to variable levels, despite their serious downsides like an elevated upfront outlay, the possibility of accessing malfunctions due to one corrosiveness, as well as an adverse effect upon those the foodstuffs' organoleptic properties and maybe their nutritional significance. Greatest significantly, these cleansing methods eliminate all contaminants, including numerous (often beneficial) bacteria found naturally in food. A huge amount of scientific publication that discussed the application of virus bioremediation to treat a multitude of pathogenic bacteria in meals spanning between prepared raw food to fresh fruit and vegetables although since initial idea through using retroviruses on meals. Furthermore, the quantity of widely viable bacteriophage‐containing medicines licensed for use in health and safety purposes has continuously expanded. Bacteriophage bio‐control, a leafy and ordinary technique that employs lytic bacteriophages extracted from the atmosphere to selectively target pathogenic bacteria and remove meaningfully decrease their stages meals, is one potential remedy that solves some of these difficulties. It has been suggested that applying bacteriophages to food is a unique method for avoiding bacterial development in vegetables. Because of their selectivity, security, stability, and use, bacteriophages are desirable. Phages have been utilized in post‐harvest activities, either alone or in combination with antimicrobial drugs, since they are effective, strain‐specific, informal to split and manipulate. In this review to ensure food safety, it may be viable to use retroviruses as a spontaneous treatment in the thread pollution of fresh picked fruits and vegetables, dairy, and convenience foods.

One of the most popular, cost‐effective crops that are consumed globally is the potato. Due to the expanding food crisis, there is an increase in the demand for potato‐based agro‐food items. At the same time, it is noted that this pathway of ecological pollution from large‐scale wastes is challenging to manage. The food sector generates a lot of waste, which can be controlled better via biotechnological methods. The potato industry is one of the industries that generate a large amount of garbage that is harmful to the environment. Several by‐products of industrial potato production, such as potato peels (PPs), starch, flakes, and granules, are disposed of despite being rich sources of nutrients and bioactive ingredients. These wastes can subsequently be used in biotechnological processing to produce microbial polysaccharides, yeast cellular biomass, lipids, protein, enzymes, organic acids, and carotenoids as components of the microbial medium. Similarly, food processing based on potatoes uses a lot of water, which is an issue because it pollutes wastewater. The most popular method for reducing trash that is both affordable and environmentally beneficial at the moment is biotechnology. The purpose of this review study is to illustrate the potential of applying biotechnological techniques to tackle the potato waste problem while simultaneously enhancing the economy. By discussing recent breakthroughs as well as current flaws in this method of controlling potato trash, this paper seeks to give a future vision of the justifiable use of biotechnological‐based potato waste management and utilization strategies.

Acute pancreatitis is one of the most common conditions with high rates of morbidity and mortality. Different scoring systems are used to gauge the severity of this condition, which, in turn, estimates the complications and mortality rates. With the ever-evolving use of the acute-phase reactant protein, Creactive protein (CRP), and an abundant circulating protein in plasma, albumin, in daily practice, this study aimed to assess the ratio of CRP and albumin for assessing the severity of acute pancreatitis.A systematic review of the literature was performed using the keywords CRP albumin ratio and acute pancreatitis in the PubMed and Cochrane databases. Studies reporting the use of the ratio of CRP and albumin in acute pancreatitis as well as the outcomes were included in this analysis. The quality of studies was assessed using the MINORS (methodological index for non-randomized studies) assessment tool. In our review, across these three studies, 956 patients with acute pancreatitis were identified and enrolled in studies that examined the relationship between the CRP/Albumin ratio and the severity of acute pancreatitis.Overall, a positive correlation was found between the CRP/albumin ratio at admission and the development of subsequent severe acute pancreatitis, increased hospital length of stay, and the higher rate of mortality in these studies.

Social platforms have become one of the popular mediums of information sharing and communication over the Internet today. People share all types of contents such as text, images, audio and video using these social platforms. Though information gained using these social platforms can be very useful for people around the globe, some of the user generated contents are very negative as they contain abusive, racial, offensive and insulting material. Thus, there is a need for an effective online content filtering technique which blocks these negative contents while not disturbing the access of users to rest of the contents available on these sites. Current techniques simply filter on the basis of URLs blocking and keyword matching or either rely on a large database of pre-classified web addresses. The problem is how to intelligently filter the negative contents, rather than filtering entire websites using their URLs or applying simple keyword matching techniques. In this paper we review a number of existing approaches to content filtering and propose an intelligent content filtering technique that uses sentiment analysis of the text and feature engineering methods to perform text classification.

No abstract