Preparation of Low-Temperature Solution-Processed High-κ Gate Dielectrics Using Organic-Inorganic TiO Hybrid Nanoparticles.

Organic-inorganic hybrid dielectric nanomaterials are vital for OTFT applications due to their unique combination of organic dielectric and inorganic properties. Despite the challenges in preparing stable titania (TiO) nanoparticles, we successfully synthesized colloidally stable organic-inorganic (O-I) TiO hybrid nanoparticles using an amphiphilic polymer as a stabilizer through a low-temperature sol-gel process. The resulting O-I TiO hybrid sols exhibited long-term stability and formed a high-quality dielectric layer with a high dielectric constant (κ) and minimal leakage current density.

Improved expression and purification of highly-active 3 chymotrypsin-like protease from SARS-CoV-2.

Severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2) is the causative pathogen of coronavirus disease-19 (COVID-19). The COVID-19 pandemic has resulted in millions of deaths and widespread socio-economic damage worldwide. Therefore, numerous studies have been conducted to identify effective measures to control the spreading of the virus.

The Utilization of Machine Learning Algorithms for Assisting Physicians in the Diagnosis of Diabetes.

This paper investigates the use of machine learning algorithms to aid medical professionals in the detection and risk assessment of diabetes. The research employed a dataset gathered from individuals with type 2 diabetes in Ninh Binh, Vietnam. A variety of classification algorithms, including Decision Tree Classifier, Logistic Regression, SVC, Ada Boost Classifier, Gradient Boosting Classifier, Random Forest Classifier, and K Neighbors Classifier, were utilized to identify the most suitable algorithm for the dataset.