This study was carried out on 88 railway related deaths in order to determine the specific pattern and distribution of wounds. Of the 88 victims, 79.5% were males and 20.5% were females. The majority were in the age group of 21-40 years. Most of the victims died as the result of an accident (80.7%). Of the 17 suicide cases, ten deaths occurred during the night. In 71 railway accident deaths, 64.8% of victims were pedestrians; thirty-five victims were illiterate and two had consumed alcohol. Decapitation wounds were more common in suicidal deaths and the head was the body region most commonly involved in railway accidents. Our results indicate that railway related deaths could be prevented by surveillance, education and public awareness.

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Covid-19 is now one of the most incredibly intense and severe illnesses of the twentieth century. Covid-19 has already endangered the lives of millions of people worldwide due to its acute pulmonary effects. Image-based diagnostic techniques like X-ray, CT, and ultrasound are commonly employed to get a quick and reliable clinical condition. Covid-19 identification out of such clinical scans is exceedingly time-consuming, labor-intensive, and susceptible to silly intervention. As a result, radiography imaging approaches using Deep Learning (DL) are consistently employed to achieve great results. Various artificial intelligence-based systems have been developed for the early prediction of coronavirus using radiography pictures. Specific DL methods such as CNN and RNN noticeably extract extremely critical characteristics, primarily in diagnostic imaging. Recent coronavirus studies have used these techniques to utilize radiography image scans significantly. The disease, as well as the present pandemic, was studied using public and private data. A total of 64 pre-trained and custom DL models concerning imaging modality as taxonomies are selected from the studied articles. The constraints relevant to DL-based techniques are the sample selection, network architecture, training with minimal annotated database, and security issues. This includes evaluating causal agents, pathophysiology, immunological reactions, and epidemiological illness. DL-based Covid-19 detection systems are the key focus of this review article. Covid-19 work is intended to be accelerated as a result of this study.

Homicide has become a common practice reflecting anger in southern India. The purpose of this study was to identify the potential risk factors and susceptible victims. This retrospective study analyses the data of 590 cases. Our study revealed that the victims were mostly males of 21-30 years, married (63.56%), illiterates (44.07%), low socioeconomic status and belong to rural areas. The laborers and farmers were almost equally affected in males and housewives in females. Outdoor incidents were more (61.86%). Majority of victims were innocent (82.20%) with no previous history of cognizable offence. Blood alcohol was found positive in 30.23% of victims. Sharp cutting weapons were mostly used, with hemorrhage and shock being the most common cause of death. Previous enmity and familial disharmony were the two common causes behind such heinous crime. Most victims had injuries over multiple body parts. Some potential risk factors and their preventive measures pointed at the end.