Journal of Forensic Medicine

In this study the patella bones from both right and left sides were taken out of 60 individuals (30 males and 30 females). Bones were kept in 5% sodium hypochlorite solution for a week for maceration, and then dried and following measurements were taken: Maximum Length, Maximum Width, Maximum Thickness and Lateral Articular Facet Breadth in millimeters, and Weight in grams. Statistical analysis was done using SPSS 27.0. Descriptive statistics were obtained for each measurement. The North Indian population was compared with other populations. In the present study, the mean maximum height of the right side was 37.51 mm+3.17 SD for females and 41.54 mm+2.76 SD for males, while the mean of the left side was 37.91 mm+2.95 SD for females and 42.61 mm+2.97 SD for males. The sexual dimorphism was significant statistically, with a p-value <0.001 for both sides. The projected cut off value on the right side was 39.56 mm with a projected sensitivity of 86.7% and projected specificity of 73.3%, while on the left side cut off value was 38.76 mm with a projected sensitivity of 93.3% and projected specificity of 63.3%. The mean maximum breadth of right side was found to be 37.16 mm+3.07 SD for females and 42.99 mm+2.51 SD for males while the mean maximum breadth of left side was found to be 37.88 mm+2.95 SD for females and 42.61 mm+2.97 SD for males. The sexual dimorphism was found to be significant statistically with a p value <0.001 for both sides. The projected cut off value on right side was 40.48 mm with a projected sensitivity of 90.0% and projected specificity of 96.7% while on left side cut off value was 39.85 mm with a projected sensitivity of 90.0% and projected specificity of 83.3%. In the present study, measurements taken on patella bone showed higher mean values for males as compared with females (p<0.001).

This article explains the legal procedures and Indian medico legal system being followed in India. Medico legal is the term, which incorporates the basics of two sister professions i.e., medicine and law. Everybody talks about the law but few, aside from lawyers, judges, and law teachers, have more than the vaguest notion of what constitutes law. Those lawyers, who do not constantly deal with medical issues in their legal practice, know extraordinarily little about the medical profession and its problems; physicians frequently comprehend too little about the law and how it affects them in the practice of their profession. Medico legal experts can provide a link between these two professions for their smooth and effective functioning in a scientific manner. This article includes various legal procedures being followed in India and structure of Indian medico legal system. The legal procedures include descriptions of inquest, the criminal courts, court room procedures etc. This article also contains the details of medico legal cases along with procedures to be followed while dealing with such cases.

An approach frequently used to determine the time of death is Henssge's nomogram. The precision of the resulting time period is, however, impacted by uncertainties that occur from the graphical solution of the original mathematical expression. In comparison to Henssge's nomogram, we provide a more precise and adaptive method for calculating the time of death using existing machine learning techniques/tools including support vector machines (SVMs) and decision trees. The bulk of the tools we chose can estimate the time of death with low error rates even with only 3000 training cases, according to a synthetic data-driven model we developed using Python. The best outcomes for determining the time of death with the lowest error and highest estimated time of death accuracy were from an SVM with a radial basis function (RBF) kernel and AdaBoost+SVR.

The sustainability of society can be negatively impacted by mental health problems on both people and communities. The treatment of mental disorders faces a number of difficulties, but it is more crucial to address their underlying causes because doing so can help prevent mental health issues from developing or returning. This necessitates a more comprehensive understanding of mental health issues than what has been found in previous studies. It is important to consider social and environmental aspects while analysing mental health. There is a need for more investigation and education, as well as for root cause-focused solutions. Medication dangers and effectiveness should both be researched. This study suggests a big data and machine learning-based method for automatically identifying mental health-related factors from Twitter data. 52 parameters in total were found for the three views. To combine relevant parameters, we established six macro-parameters. We give a thorough description of mental health, including its causes, medications and therapies, effects of drugs on the brain, and drug abuse, as discussed by the general people and medical professionals on Twitter. Additionally, we pinpoint their connections to other medicines. The research will pave the way for new methods of identifying drug addiction and use in relation to mental health on social media, as well as other micro- and macro-factors. The approach can be applied to different illnesses and offers the chance to find forensic toxicological evidence from social and digital media.

Enterobius vermicularis is a threadlike parasite commonly referred to as "pinworms." It is the most common helminth infection, affecting children's gastrointestinal tracts worldwide, albeit it seldom causes mortality. Infections with Enterobius vermicularis are typically asymptomatic and cause solely anal pruritis, with adult pinworms occasionally migrating into the appendix or female genital tract. We present the case of a 15-year-old girl who went to the ER with a high-grade fever, vomiting, and vague abdominal pain that had been persistent for three days. She underwent an emergency ileocecectomy after being diagnosed with acute abdominal pain, but she died the next day. The intraluminal and intramural Enterobius vermicularis discovered during the pathological examination of the ileocecal junction was concluded to be the cause of death in the absence of any other diseases. Death from Enterobius vermicularis is uncommon; however, this case highlights the need of doctors investigating Enterobius vermicularis infections in patients with unexplained severe abdominal discomfort, since it could be a cause of death.