Abstract 1 This study presents a novel, ultralow-power single-sensor-based electronic nose (e-nose) system for real-time gas identification, distinguishing itself from conventional sensor-array-based e-nose systems, whose power consumption... Read More
Abstract Due to their inherent flexibility, solution-processable conjugated polymers are increasingly being considered for the cost-effective production of thin-film semiconductor devices used in Internet of Everything (IoE) applications. W... Read More
Abstract The SARS-CoV-2 pandemic has had an unprecedented impact on global public health and the economy. Although vaccines and antivirals have provided effective protection and treatment, the development of new small molecule-based antivir... Read More
Issues with spinal discs in dogs can cause paralysis, characterized by a complete or partial inability to move one or more limbs, highlighting the urgent need for effective treatments. A startup company affiliated with UNIST is anticipated... Read More
Abstract We recently reported that the dopamine (DA) analogue CA140 modulates neuroinflammatory responses in lipopolysaccharide-injected wild-type (WT) mice and in 3-month-old 5xFAD mice, a model of Alzheimer’s disease (AD). However,... Read More
Abstract Albeit the success of federated learning (FL) in decentralized training, bolstering the generalization of models by overcoming heterogeneity across clients still remains a huge challenge. To aim at improved generalization of FL, a... Read More
Abstract Effectively reducing climate change requires marked, global behavior change. However, it is unclear which strategies are most likely to motivate people to change their climate beliefs and behaviors. Here, we tested 11 expert-crowds... Read More
Abstract A mid-infrared label-free immunoassay-based biosensor is an effective device to help identify and quantify biomolecules. This biosensor employs a surface-enhanced infrared absorption spectroscopy, which is a highly potent sensing t... Read More
UNIST has signed a collaborative agreement with the Korea Credit Information Services (KCIS) to conduct joint research on synthetic data generation and evaluation methods in the financial sector. The agreement was signed on June 14 at the K... Read More
Abstract We propose a novel concept of dual and integrated latent topologies (DITTO in short) for implicit 3D reconstruction from noisy and sparse point clouds. Most existing methods predominantly focus on single latent type, such as point... Read More
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