Adulteration in edible oil (mustard oil) and ghee; detection and their effects on human health.

Edible oils and ghee are vital parts of our daily culinary practices. In recent years, owing to heightened demand in the domestic and global markets, consistent reports regarding the adulteration of edible oils and ghee with substandard ingredients have been reported. Adulteration in edible oils is widespread, with distinctive contaminants, including cottonseed, mineral, and lower-cost oils like palm olein.

Efficacy and Safety of Abhal (Juniperus communis L). on Pain intensity, Uterine Artery Doppler Flow, and Quality of Life in Primary Dysmenorrhea: A Double-Blind, Randomized Controlled Trial.

Ethnopharmacology Relevance: Incorporating ancient wisdom from Unani Medicine, this study delves into the therapeutic efficacy of Juniperus communis L. in primary dysmenorrhea. By seamlessly merging traditional knowledge with modern scientific evaluation, this research illuminates Juniperus communis L.

Evaluation of Pelvic Pathology of Subfertile Women by Transvaginal Sonography and Correlation with Laparoscopic Findings.

Damage of fallopian tube, endometriosis, fibroid uterus, adenomysis and polycystic ovary syndrome are the major pelvic pathology that causes subfertility. Although there are many diagnostic tests available, the clinical presentation of each patient can usually be linked to specific and efficient testing strategies. Transvaginal sonographic (TVS) imaging is an effective, easy to use, safe and readily available noninvasive means to evaluate fertility potential.

An unusual surgical complication: Slipped molar lodged in vocal cords and its anesthetic management.

Background: Extraction of wisdom tooth is one of the most common surgical interventions, as it is more prone for impaction. Due to the pain and anxiety associated with the procedure, it is common to do this procedure under conscious sedation. However unexpected events do occur during the procedure and one such complication along with the prompt management is discussed here.

Role of artificial intelligence in predicting neurological outcomes in postcardiac resuscitation.

Being an extremely high mortality rate condition, cardiac arrest cases have rightfully been evaluated via various studies and scoring factors for effective resuscitative practices and neurological outcomes postresuscitation. This narrative review aims to explore the role of artificial intelligence (AI) in predicting neurological outcomes postcardiac resuscitation. The methodology involved a detailed review of all relevant recent studies of AI, different machine learning algorithms, prediction tools, and assessing their benefit in predicting neurological outcomes in postcardiac resuscitation cases as compared to more traditional prognostic scoring systems and tools.