Finite element analysis and its application in Orthopaedics: A narrative review.

Orthopedic surgery and traumatology necessitate cost-effective approaches that can be replicated across multiple venues. Finite Element (FE) simulation models have evolved as a solution, allowing for consistent investigations into biomechanical systems. Finite Element Analysis (FEA), which began in the 1950s aviation industry, has since expanded into orthopedics.

Economic burden of breast cancer in India, 2000-2021 and forecast to 2030.

Background Breast cancer represents a significant public health concern in India, accounting for 28% of all cancer diagnoses and imposing a substantial economic burden. This study introduces a novel approach to forecasting the number of breast cancer cases (based on prevalence rates) and estimating the associated economic impact in India using the autoregressive integrated moving average (ARIMA) model. Methods Data on the prevalence of breast cancer in India from 2000 to 2021 were obtained from the Global Burden of Disease (GBD) database.

Craniovertebral Junction Tuberculosis, a Rare Presentation With Hypoglossal and Facial Nerve Palsy: A Case Report.

Case: A 47-year-old man presented with neck pain, restricted neck movements, along with involvement of facial and hypoglossal nerve. On the basis of clinico-radiological correlation, the patient was diagnosed with craniovertebral junction tuberculosis and was started on antitubercular therapy (ATT). Failing the conservative trial, the patient was operated and occipitocervical fusion was done with bone grafting.

Nutrient Stability in NASA Spaceflight Experiment Rodent Food Bars.

The Nutrient-upgraded Rodent Food Bar (NuRFB) is the standard diet for mice in NASA's Rodent Research Project aboard the International Space Station (ISS). Given the nature of spaceflight and the lengthy production process of the food bars, a shelf-life assessment was conducted to evaluate nutritional stability over time (ranging from 0 to 27 months) and under different storage conditions (refrigerated, ambient, and refrigerated + ambient), where ambient is 22-23 °C. Lipid oxidation markers and fat- and water-soluble vitamins were assessed under various time and temperature conditions using AOAC International methods.

Quantum machine learning for Lyapunov-stabilized computation offloading in next-generation MEC networks.

Quantum computing and machine learning convergence enable powerful new approaches for optimizing mobile edge computing (MEC) networks. This paper uses Lyapunov optimization theory to propose a novel quantum machine learning framework for stabilizing computation offloading in next-generation MEC systems. Our approach leverages hybrid quantum-classical neural networks to learn optimal offloading policies that maximize network performance while ensuring the stability of data queues, even under dynamic and unpredictable network conditions.