Using Graphene Oxide to Efficiently Filter Particulate Matter at High Concentrations
Air pollution has detrimental effects on both the environment and humans. Here, researchers use graphene oxide to filter particulate matter from the air. Graphene oxide filters performed better than commercially available filters, effectively removing particulate matter from the air.
Read More...De novo design of a dual-target inhibitor against tau phosphorylation and acetylation for Alzheimer's therapy
The authors use computational methods to compare tau acetylation to the better studied tau phosphorylation in Alzheimer's disease and then design and computationally test a new drug to prevent abnormal post-translational modifications of tau.
Read More...Revisiting the Belmont Report: an analysis of the bioethical values of Generation Z
The authors studied the bioethical values of Generation Z.
Read More...Silver nanoparticle-coated orthopedic screws lead to greater calcium precipitation
The authors test whether coating stainless steel orthopedic screws in silver will promote calcium precipitation to improve orthopedic implant integration into bone.
Read More...Fire detection using subterranean soil sensors
The authors looked at how soil temperature changes with fire to develop a sensor system that could aid in earlier detection of fires.
Read More...Simple solving heuristics improve the accuracy of sudoku difficulty classifiers
Class distinctions in automated domestic waste classification with a convolutional neural network
Domestic waste classification using convolutional neural network
Read More...SpottingDiffusion: Using transfer learning to detect Latent Diffusion Model-synthesized images
Mendelian randomization reveals shared genetic landscape in autism spectrum disorder and Alzheimer's disease
Autism Spectrum Disorder (ASD) and Alzheimer's Disease (AD) are distinct conditions, but research suggests a link, as individuals with ASD are 2.5 times more likely to develop AD. A study employing genome-wide association studies and Mendelian randomization revealed shared genetic factors, particularly in synaptic regulation pathways, that may increase the risk of AD in those with ASD. These findings provide insights into the genetic underpinnings connecting the two disorders.
Read More...Automated classification of nebulae using deep learning & machine learning for enhanced discovery
There are believed to be ~20,000 nebulae in the Milky Way Galaxy. However, humans have only cataloged ~1,800 of them even though we have gathered 1.3 million nebula images. Classification of nebulae is important as it helps scientists understand the chemical composition of a nebula which in turn helps them understand the material of the original star. Our research on nebulae classification aims to make the process of classifying new nebulae faster and more accurate using a hybrid of deep learning and machine learning techniques.
Read More...
