Impact of information publicity on Korean residents' E-waste recycling intentions: Applying the norm activation model and theory of planned behavior.

The escalating annual growth rate of electronic waste, commonly referred to as "e-waste," is currently between 3 % and 5 %, indicating a rapidly increasing solid waste stream. In 2019, South Korea generated 15.8 kg of e-waste per capita.

SMEPPI: An indenone derivative that selectively inhibits M1 macrophage activation and enhances phagocytic activity.

SMEPPI is a small molecule synthesized as a derivative of KR-62980 that has anti-diabetic and anti-inflammatory activities. Despite the established physiological effects of KR-62980, the effects and benefits of SMEPPI remain largely unexplored. This study investigated the immunomodulatory functions of SMEPPI on macrophages and inflammatory diseases.

Evolutionary lineage-specific genomic imprinting at the ZNF791 locus.

Genomic imprinting is an epigenetic process that results in parent-of-origin effects on mammalian development and growth. Research on genomic imprinting in domesticated animals has lagged due to a primary focus on orthologs of mouse and human imprinted genes. This emphasis has limited the discovery of imprinted genes specific to livestock.

AI-assisted detection for chest X-rays (AID-CXR): a multi-reader multi-case study protocol.

Introduction: A chest X-ray (CXR) is the most common imaging investigation performed worldwide. Advances in machine learning and computer vision technologies have led to the development of several artificial intelligence (AI) tools to detect abnormalities on CXRs, which may expand diagnostic support to a wider field of health professionals. There is a paucity of evidence on the impact of AI algorithms in assisting healthcare professionals (other than radiologists) who regularly review CXR images in their daily practice.