Gachon University

Structural Brain Volumes and Delay Discounting

This cross-sectional study evaluates a multilayer perceptron model for estimating delay discounting among college-aged adults.

Self-Regulating Polymer–Carbon Nanotube Composite Heater on Meta-Aramid Textile

Electric vehicles (EVs) lack a substantial source of recoverable powertrain waste heat, making cabin heating a direct parasitic load on the battery and thereby increasing the need for efficient and spatially distributed thermal management strategies. In this study, a flexible sel...

Virtual Surgical Planning-Guided Correction of Hemifacial Microsomia With Inverted-L Osteotomy

Hemifacial microsomia (HFM) produces facial asymmetry involving the skeleton and overlying soft tissues, and skeletal correction may leave residual soft-tissue deficiency. We report a 23-year-old woman with left HFM (Pruzansky-Kaban type IIb; OMENS-Plus O0M2E1N0S2), maxillary occ...

Coordination organic framework of phthalocyanine with carbon nanotubes for elevating oxygen evolution reaction

The designing and development of efficient, affordable, and effective electrocatalysts for the oxygen evolution reaction (OER) is crucial for advancing sustainable water-splitting technologies. In this study, coordination metal organic framework of cobalt tetracarboxylicacid phth...

Electrical injection of meron-antimeron pairs into a magnetic domain wall

Topological spin textures, such as merons and antimerons, have garnered significant attention for their potential in spintronic devices due to their inherent topological stability. However, achieving precise electrical control over these topological textures has remained challeng...

Two-Dimensional MXene-Reinforced Polymer Nanocomposites: Synthesis, Multifaceted-Properties, Applications, and Perspectives

Abstract MXenes, an emerging class of two-dimensional (2D) transition metal carbonitrides, nitrides, and carbides, are gaining significant attention due to their unique layered structures and versatile surface chemistries. These characteristics provide them with exceptional prope...

Longitudinal visual tracking of nail lesions using a deep learning-based EMR-integrated platform

This study proposes and evaluates an EMR-integrated, artificial intelligence (AI)-based platform for the image-level classification and longitudinal visual tracking of nail lesions in real-world clinical workflows. Because the morphology and extent of nail lesions often change ov...

Trend to Equilibrium and Diffusion Limit for the Inertial Kuramoto–Sakaguchi Equation

Abstract. In this paper, we study the inertial Kuramoto–Sakaguchi equation for interacting oscillatory systems. On the one hand, we prove the convergence toward corresponding phase-homogeneous stationary states in weighted Lebesgue norm sense when the coupling strength is small e...

Small-Molecule NANT Therapeutics Targeting the Brain–Immune Axis in Alzheimer’s Disease: Mechanisms, Clinical Progress, and Translational Challenges

Alzheimer’s disease (AD) is now widely accepted as a complex disorder involving multiple interconnected pathological processes. Increasing evidence suggest that neuroinflammation and immune system dysregulation actively contribute to neurodegeneration, extending beyond the tradit...

CHL Attenuates MIA-Induced Osteoarthritis by Regulating Inflammatory, Catabolic, and Anabolic Pathways Associated with Cartilage and Subchondral Bone Degeneration

Background/Objectives: Osteoarthritis (OA) is characterized by cartilage degeneration, extracellular matrix (ECM) disruption, inflammation, and impaired joint function. A standardized phytosterol-rich avocado/soybean unsaponifiable preparation (CHL) was examined in monosodium iod...

Sustainable Dyeing and Mordanting of Silk with a Binary Colorant from Agro-Waste Material

The use of agro-waste materials as an alternative to synthetic dyes has gained considerable interest in the development of sustainable textile coloration. This study investigates the utilization of binary colorants from agro-waste sources such as harmal seeds and thuja leaves for...

Artificial Intelligence for Esophageal Precancerous Lesions and Esophageal Cancer

Esophageal cancer is associated with a relatively poor prognosis. Early detection and diagnosis are important for the survival and prognosis of patients with esophageal cancer. Recently, the development of artificial intelligence (AI) and its application in clinical medicine has...

The Golden Cage: How Algorithmic Nurturing Systemically Erodes Human Autonomy Under Artificial General Intelligence

The proliferation of Artificial General Intelligence (AGI) presents a systemic paradox within complex socio-technical systems: while enhancing efficiency, AGI may subvert human autonomy through comfort-based alignment rather than overt coercion. Although algorithmic management re...

Engineering melanin nanoconjugates from rational synthesis to clinical translations

Melanin, a natural biopolymer, has become a very promising material for the development of multifunctional nanoconjugate due to its unique physicochemical properties, such as broadband UV-NIR absorption, redox activity, metal-chelating capacity, adhesive surface chemistry, and bi...

ToxBench: a leakage-audited multi-task benchmark for predictive toxicology with calibration, uncertainty, and applicability domain analysis

Machine learning models for toxicity prediction are routinely evaluated using random train/test splits, allowing structurally similar compounds to appear in both sets and inflating reported performance metrics. A rigorous benchmark quantifying this overestimation alongside calibr...

Lower-extremity physical performance and field-based oral function measures in community-dwelling older women: a cross-sectional study

Abstract Given the age-related declines in physical and oral function, this study investigated the link between lower-extremity performance and oral function in 102 community-dwelling women aged 65–85 in Incheon, Republic of Korea. Participants were categorized into robust or low...

Intelligent DDoS Attack Detection in Software-Defined Networks Using Explainable Machine Learning

The recent trend of Software-Defined Networking (SDN) has posed significant cybersecurity challenges as a result of its centralized control architecture, dynamic traffic behavior, and high programmability. Although these attributes improve network flexibility and management, they...

AI models as consciousness attributors: how LLMs ascribe consciousness to other agents

Research on AI consciousness has largely focused on whether AI systems are conscious and how humans attribute consciousness to them. Yet large language models (LLMs) increasingly function as consciousness attributors, generating judgments about whether and to what degree other en...

Does Policy Uncertainty Distort Green Innovation? Evidence from Heavy-Polluting Firms in China

Green innovation is essential to the low-carbon transition, but aggregate patent counts may conceal changes in the technological quality of corporate innovation. Using this observation as a starting point, this study asks how economic policy uncertainty (EPU) affects green innova...

Oxygen-dependent subcellular redistribution of PHD3 links the hypoxic microenvironment to mitochondrial metabolic reprogramming in ccRCC

Abstract Clear cell renal cell carcinoma (ccRCC) is characterized by profound metabolic dysregulation, with both prolyl hydroxylase domain protein 3 (PHD3) and pyruvate carboxylase (PC) independently implicated in disease progression. Although each influences patient outcomes, a...