Silicon double-disk optomechanical resonators from wafer-scale double-layered silicon-on-insulator.

Whispering Gallery Mode (WGM) optomechanical resonators are a promising technology for the simultaneous control and measurement of optical and mechanical degrees of freedom at the nanoscale. They offer potential for use across a wide range of applications such as sensors and quantum transducers. Double-disk WGM resonators, which host strongly interacting mechanical and optical modes co-localized around their circumference, are particularly attractive due to their high optomechanical coupling.

Improving oxidative stability of cream powder using pomegranate concentrate and peel extract.

In this study, the influence of pomegranate peel extract (PPE) and pomegranate concentrate (PC) on improving the oxidative stability of cream powder in comparison with synthetic antioxidant (Butylated hydroxytoluene (BHT)) during the storage period at 20°C (8 weeks) and 45°C (4 weeks) was evaluated. The finding exhibited that peroxide, -anisidine, and total oxidation (TOTOX) values increased during the storage period. Samples containing PPE and PC showed suitable performance in controlling the cream powder oxidation.

Exploring Large Language Models for Detecting Online Vaccine Reactions.

Social media offers a rich source of real-time health data, including potential vaccine reactions. However, extracting meaningful insights is challenging due to the noisy nature of social media content. This paper explores using large language models (LLMs) and prompt engineering to detect personal mentions of vaccine reactions.

Near Real-Time Syndromic Surveillance of Emergency Department Triage Texts Using Natural Language Processing: Case Study in Febrile Convulsion Detection.

Background: Collecting information on adverse events following immunization from as many sources as possible is critical for promptly identifying potential safety concerns and taking appropriate actions. Febrile convulsions are recognized as an important potential reaction to vaccination in children aged <6 years.

Objective: The primary aim of this study was to evaluate the performance of natural language processing techniques and machine learning (ML) models for the rapid detection of febrile convulsion presentations in emergency departments (EDs), especially with respect to the minimum training data requirements to obtain optimum model performance.

Suppressive Potential of L. Extract against Triple-Negative and Luminal A Breast Cancer.

Rosemary is an aromatic plant with ancient and modern applications as a spice and herbal remedy. Due to the strong antioxidant potential of rosemary, the present study investigated the anti-proliferative and pro-apoptotic characteristics of rosemary on luminal A and triple-negative breast cancer cells. The effect of rosemary extract on the WNT10B and β-Catenin genes was also evaluated.