Scientists evaluate the impact of toxic, endocrine-disrupting chemicals like bisphenol A and phthalates on liver function and metabolic homeostasis Humans are constantly exposed to harmful endocrine-disrupting chemicals (EDCs), including phthalates and bisphenol A (BPA) through cosmetics and plastics. Now scientists from South Korea have demonstrated that EDCs, particularly in mixture…

Scientists develop a more precise and versatile platform for droplet-based microfluidics on solid surfaces Microfluidics, the manipulation of small volumes of fluid constrained to small scales, is a rapidly growing field with scientific and practical applications. In a recent study, Chung-Ang University scientists report a new light-based technique to precisely…

The new catalyst improves the efficiency of hydrogen production from water splitting without incurring high costs Hydrogen, a clean fuel, can be produced sustainably by electrocatalytic water splitting, a process where the water molecule is split into oxygen and hydrogen gas using electricity. However, the need for expensive and rare…

A new platform mimics live cellular environment to guide stem cell differentiation outside the body without needing complex experimental steps Stem cells give rise to all kinds of cells and tissues in our body through a conversion process called “differentiation.” However, guiding stem cell differentiation in the laboratory is a…

Our steady advance into the era of smart grids and smart homes presents new opportunities for using energy more efficiently. Fortunately, most decisions and actions needed to optimize our energy use can be delegated to home energy management systems (HEMSs), which efficiently manage the energy consumption of home appliances by…

Researchers develop a simple and effective generative adversarial network known as SphereGAN for unsupervised image generation Neural networks, widely used for object recognition and segmentation, have multiple applications in cybersecurity, social media, and healthcare. Researchers from Chung-Ang University recently developed a novel generative adversarial neural network (GAN) based on Riemannian…

Study shows how meiotic cohesin complexes affect chromosome structure and genomic integrity — and the long-term implications of their effects on the stem cell genome The eukaryotic chromosomal structure depends on the role played by complexes of specific proteins called cohesins. Cohesins play an active role during mitotic and meiotic…

Vertically stacked quantum dots offer unprecedented pixel density for ultra-compact, flexible, and sensitive color image sensors Scientists have developed a new type of color image sensor using vertically stacked quantum dots — nanoparticles tailored to be sensitive to specific light frequencies. Their innovative pixel structure uses much less area per…

Scientists conduct quantum mechanics simulations to identify a promising class of materials for new types of rechargeable battery The scarcity of lithium has led scientists to look for other alkaline metals to produce rechargeable batteries. In a recent study, Assistant Professor Haesun Park of Chung-Ang University, Korea, and his colleagues…