SKKU RANBIZ

Convergence Prof. HONG, JOO WHA Professor Joo-Wha Hong, together with Professor Herbert Chang of Dartmouth College and Professor David Tewksbury of the University of Illinois at Urbana-Champaign, published this study in Digital Journalism, a leading international journal in the field of communication. The research experimentally examined how audiences perceive and evaluate both AI- and human-authored political news. Grounded in the theoretical frameworks of the machine heuristic and the hostile media effect, the study investigated how the author’s identity (human vs. AI) and readers’ political orientations influence perceptions of news credibility and journalist credibility. The experiment was conducted with 442 adult participants in the United States through an online survey. Participants were randomly assigned to read articles on four politically sensitive issues (i.e., abortion law, gun control, minimum wage, and health-care reform) authored either by AI or human journalists and published under three different news outlets representing distinct ideological leanings (i.e., liberal, neutral, and conservative). This design enabled the researchers to analyze interactions among author identity, reader ideology, and political distance from the media outlet.

2025-11-03

Medicine Prof. LEE, YUNJONG Professor Yunjong Lee’s research team (first authors: Ji Hun Kim, Ph.D. student; Hyo Jung Kim, Ph.D.; and Prof. Yunjong Lee) at the Department of Pharmacology, Sungkyunkwan University School of Medicine, has developed a conditional Tet-off transgenic mouse model expressing ZNF746 (PARIS) specifically in midbrain dopaminergic neurons to elucidate the molecular pathogenesis of Parkinson’s disease (PD) and to enable preclinical evaluation of therapeutic agents. PARIS (ZNF746) is a substrate of the autosomal recessive PD gene Parkin and is known as a transcriptional repressor that accumulates in the brains of PD patients, playing a direct pathogenic role in dopaminergic neuronal degeneration. PARIS represses key regulators of cellular survival, including PGC-1α, a master regulator of mitochondrial biogenesis, and MDM4, an upstream modulator of the apoptosis regulator p53, thereby leading to metabolic dysfunction and neuronal death.

2025-10-24

Mechanical Engineering Prof. RODRIGUE, HUGO This study developed a hybrid pneumatic joint by combining a soft pneumatic-driven origami chamber and a rigid frame with a fixed rotational axis. The hybrid joint appropriately limited the excessive compliance, which was a drawback of existing inflatable joints, and was able to maintain high torque and control accuracy over a wide range of motion. This was expanded into a meter-scale hybrid robot manipulator, which stably performed pick-and-place tasks of heavy objects such as fruit. The objective of this study is the development of a hybrid joint with a hard/soft combined structure that compensates for the drawbacks of existing pneumatic-driven inflatable joints, such as excessive compliance and high control difficulty. This joint has the advantage that deformation is predictable due to the origami structure, it can operate under both positive and negative pressure without the chamber shape collapsing through the use of facet reinforcement, and excessive expansion of the chamber can be prevented through the use of internal constraint. Additionally, the origami chamber, when combined with a rigid frame, allows the use of general rotational angle measurement sensors such as rotary encoders or potentiometers. The origami chamber was made of tarpaulin, a type of functional fabric, and combined with a 3D-printed frame to form the hybrid joint.

2025-10-16