Kookmin University

Oxygen Vacancy Engineering for Enhanced Remanent Polarization and Memory Window in a-IGZO/HZO Ferroelectric Field-Effect Transistors

Abstract HfO2-derived ferroelectric field-effect transistors (FeFETs) are promising for nonvolatile memory and logic-in-memory applications owing to CMOS compatibility and low-voltage polarization switching. Amorphous InGaZnO (a-IGZO) is attractive for back-end-of-line compatible...

MANBO: Mamba-Based Lightweight Attention Network with Priority-Bridged Ordering for Point Cloud Processing

Selective state space models (SSMs) enable efficient long-range dependency modeling across language, vision, and 3D domains. However, because SSMs are optimized for sequential processing, they handle spatially irregular inputs such as point clouds poorly. We propose MANBO, which...

Plateau–Rayleigh Instability–Driven Shell-First Growth of (Ge, Si1– x Ge x )–AlN Core–Shell Crystals Exhibiting Telecom E-Band Photoluminescence

Abstract Si and Ge are technologically important semiconductors for electronic, photovoltaic, and optoelectronic applications. Herein, we report mixed-source hydride vapor phase epitaxial growth of (Ge, Si1–xGex)–AlN core–shell crystals on Al-based nanoabsorbers. Nano-CT and micr...

Mixed uncertainty information and volatility in the green bond market based on a new two-regime GARCH-MIDAS extension model

Purpose This study pioneers a novel two-regime Generalized Autoregressive Conditional Heteroskedasticity–Mixed Data Sampling (GARCH-MIDAS) extension model to disentangle the dual dynamics of traditional drivers and mixed uncertainty indicators in green bond market volatility. Unl...

A zero-shot LLM framework for analyzing user preference on product attributes: a case study of smartwatch reviews

The rise of zero-shot learning through Large Language Models (LLMs) opens new opportunities for analyzing consumer feedback without relying on annotated data. This study proposes a zero-shot framework to uncover user preferences on product attributes, using 12,900 Amazon smartwat...

Interpretable multimodal retrieval augmented diagnosis for breast ultrasound with multinational clinical validation and reader study

Breast ultrasound is central to breast cancer diagnosis but suffers from substantial inter-observer variability in Breast Imaging Reporting and Data System (BI-RADS) assessment, and existing deep learning models remain opaque. Multimodal large language models promise interpretabl...

HER2-Low Breast Cancer: A Review of Epidemiology, Diagnostic Challenges, Targeted Therapies, and Clinical Outcomes

Background: Breast cancer is the most common malignancy among women. The HER2-low subgroup represents one of its prevalent subtypes; however, due to its unique characteristics, it presents challenges in diagnosis and treatment, complicating clinical management. This narrative rev...

Genome-Edited Nuruk-Derived Yeast for Enhancing Quality and Flavor of Fermented Foods

Abstract While esters are known to provide fruity and floral characteristics, their production is often insufficient to meet consumer preferences. In this study, Saccharomyces cerevisiae N9 isolated from Korean nuruk (fermentation starter) was engineered using Cas9-based genome e...

Spatial Stratification of Urban Commercial Land: A Convergence and Diagnostic Framework for Seoul’s Commercial Districts

Commercial districts constitute an intensively used form of urban land, yet little is known about how commercial vitality is distributed across an entire urban land system, whether spatial disadvantage persists over time, and how such evidence can inform differentiated land gover...

Biomaterial-Based Magnetic Nanobiochar for Remediation of Trichloroethylene: Environmental Fate, Toxicity, Mechanistic Insights, and Technological Advancements

Trichloroethylene (TCE) is a carcinogenic, persistent groundwater contaminant against which conventional remediation techniques like pump-and-treat, soil vapor extraction, and chemical oxidation falter badly especially at dense non-aqueous-phase-liquid (DNAPL) source zones. Magne...

Laser-matter interactions in intrinsically soft materials for biointegrated systems

Abstract Biointegrated systems are emerging as a new class of technology that redefines how electronic devices interact with the human body and surrounding environments through intimate integration with biological tissues. To establish such interfaces, intrinsically soft material...

Reproducibility of battery state of health estimation using short discharge tests across independent experimental platforms

Accurate estimation of battery state of health (SOH) is essential for practical battery diagnostics and for screening retired lithium-ion batteries for second-life applications. Although short-duration discharge-based data-driven approaches show promising performance, their repro...

Radiative cooling: a decade of progress and the decade ahead

Abstract The accelerating rise in global temperatures and growing demand for cooling underscore the urgent need for sustainable thermal management solutions. Conventional cooling systems depend on energy-intensive processes and refrigerants that exacerbate atmospheric warming, cr...

Cost-Effective Optimization of High-Temperature Performance in Oxide Dispersion Strengthened Ni-Based Alloys through NbSi Powder Integration and Dual-Phase Composites

Abstract Oxide dispersion strengthened (ODS) Nickel-based superalloys exhibit remarkable thermal stability and mechanical performance at temperatures exceeding 1100 °C, making them indispensable for critical components such as aircraft engines and gas turbine blades. In this stud...

Synergistic Engineering of Membrane–Electrode Interfaces via Surface Patterning in Anion Exchange Membrane Water Electrolysis

ABSTRACT The membrane–electrode interface critically governs the performance and durability of anion exchange membrane (AEM) water electrolysis, yet engineering these interfaces in pre‐formed hydrocarbon AEMs remains challenging due to their high glass‐transition temperatures and...

Neutron-Induced Defect-Driven Degradation of Ferroelectric Memory and Neuromorphic Synapses in α-In2Se3 FeS-FETs

Abstract Reliable ferroelectric semiconductor devices are essential for memory and neuromorphic technologies; however, neutron-induced degradation pathways remain unclear. Here, we establish an integrated experimental framework, linking defect characterization with device-level e...

Virtual identity, real perception? Stimulating user behavior and promoting value co-creation in metaverse cultural heritage tourism

Abstract The authors have requested that this preprint be removed from Research Square.

Green Consumption Orientation and Purchase Intentions Toward Other Ethical Products: The Mediating Roles of Warm Glow and Moral Self-Regulation

An important question in sustainable consumption research is whether consumers’ green consumption orientation (GCO) extends beyond environmentally focused choices and relates to their willingness to purchase other types of ethical products, including those associated with fair tr...

Comparative analysis of proton collision effects in silicon on insulator MOSFETs using steady-state and transient responses

Proton irradiation degrades MOSFETs through multiple, spatially distinct mechanisms, yet separating the dominant damage sites remains challenging. This work presents a region-resolved electrical study of proton-irradiated partially depleted silicon-on-insulator (PDSOI) nMOSFETs,...

How ESG Information Shapes Consumer Awareness and Behavioral Intentions: Evidence from Sustainable Digital Commerce

The growing importance of sustainable digital commerce has increased the need to understand how Environmental, Social, and Governance (ESG)-related information communicated through digitally mediated environments influences consumer decision-making and value creation. This study...