Prevalence and demographic distribution of anaemia among those visiting a teaching hospital located in tribal predominant block of Jharkhand: Retrospective record based analysis.

Background: Anaemia is a major public health concern in developing countries, with cases increasing rapidly among women, young girls, and children under age 5.

Aims: This study aimed to estimate the prevalence of anaemia and to identify the age and gender distribution of anaemia among those attending IPD/OPD of a teaching hospital located in the tribal block.

Methodology: The study was conducted at a multispecialty tertiary care hospital in tribal predominant area, Jharkhand, India.

Categorizing Stigma as a Barrier to Support Following Nonfatal Overdose: A Qualitative Study.

Objectives: Stigma is known to be a major barrier to treatment for people who use drugs (PWUD). This study uses the Stigma and Health Discrimination Framework to analyze how different forms of stigma shape experiences in the wake of an overdose incident, and perceptions of the efficacy and utility of postoverdose interventions among a sample of PWUD in Dayton, Ohio-a location with a high overdose rate.

Methods: Interviews were conducted with 23 individuals who self-reported past-month illicit opioid, crack/cocaine, or methamphetamine use who had experienced or witnessed a drug overdose in the past 6 months.

Brain networks and intelligence: A graph neural network based approach to resting state fMRI data.

Resting-state functional magnetic resonance imaging (rsfMRI) is a powerful tool for investigating the relationship between brain function and cognitive processes as it allows for the functional organization of the brain to be captured without relying on a specific task or stimuli. In this paper, we present a novel modeling architecture called BrainRGIN for predicting intelligence (fluid, crystallized and total intelligence) using graph neural networks on rsfMRI derived static functional network connectivity matrices. Extending from the existing graph convolution networks, our approach incorporates a clustering-based embedding and graph isomorphism network in the graph convolutional layer to reflect the nature of the brain sub-network organization and efficient network expression, in combination with TopK pooling and attention-based readout functions.

Effect of Low-dose Ketamine on Inflammatory Markers, Perioperative Analgesia, and Chronic Pain in Patients Undergoing Laparoscopic Inguinal Hernia Surgery: A Prospective, Randomized, Double-blind, Comparative Study.

Objective: The neutrophil lymphocyte ratio (NLR) and platelet lymphocyte ratio (PLR) are indicators of postoperative inflammatory response. Low-dose ketamine has analgesic and anti-inflammatory properties. Inguinal hernia surgery is associated with a higher incidence of chronic pain.