Weapon detection with FMR-CNN and YOLOv8 for enhanced crime prevention and security.

In modern days, increasing weapon-related threats in public places have created an immediate need for intelligent surveillance systems to detect crime in real-time. Traditional surveillance systems have struggles with recognizing small objects, occlusion, and the time it takes to respond, which makes them ineffective in crowded and fast-changing situations. To overcome these challenges, the suggested system combines closed-circuit television (CCTV) surveillance cameras with advanced deep learning methods, image processing, and computer vision techniques for real-time crime prediction and prevention.

An Insight into the Present Pandemic Scenario (COVID-19) with Respect to Maxfac Speciality.

The December 2019 pandemic killed about 2 million people and impacted countless more. SARS-CoV-2 causes COVID-19. The sickness causes dyspnea, high temperature, dry cough, loss of taste smell, etc.

A Modified Deep Learning Framework for Arrhythmia Disease Analysis in Medical Imaging Using Electrocardiogram Signal.

Arrhythmias are anomalies in the heartbeat rhythm that occur occasionally in people's lives. These arrhythmias can lead to potentially deadly consequences, putting your life in jeopardy. As a result, arrhythmia identification and classification are an important aspect of cardiac diagnostics.

FISH for EWSR1 in Ewing's sarcoma family of tumors: Experience from a tertiary care cancer center.

Background: : Molecular confirmation of histologic diagnosis has become mandatory for the diagnosis of Ewing sarcoma family of tumors (ESFT).

Aim: To validate the diagnosis made by morphology and immunohistochemistry (IHC) by fluorescence in-situ hybridization (FISH) for EWSR1 rearrangement on formalin fixed paraffin embedded (FFPE) tissues. Settings and design: A retrospective and prospective observational study.

Comparative evaluation of efficacy and latency of twin mix vs 2% lignocaine HCL with 1:80000 epinephrine in surgical removal of impacted mandibular third molar.

Introduction: A prospective randomized double-blind controlled trial was conducted to evaluate the latency and duration of pterygomandibular nerve block with a mixture of 1.8 ml 2% lignocaine with 1:80,000 epinephrine and 1 ml of 4 mg dexamethasone and its impact on postoperative sequelae after surgical extraction of impacted mandibular third molars.

Materials And Methods: This study was conducted in 40 subjects referred to the department of oral and maxillofacial surgery; they were divided into 20 subjects each in group A and B with the age range of 18-72 years planned for elective surgical removal of unilateral impacted mandibular third molar.