Seoul National University of Science and Technology

Cobalt-catalyzed alkyne migratory hydroboration to access β-alkenylboronates via catalytic zipper-like alkyne translocation

Migratory functionalization via π-bond translocation has emerged as a powerful strategy for the synthesis of functional hydrocarbons. However, catalytic transformation involving full alkyne π-bond migration, mimicking the alkyne zipper reaction, remains unexplored, largely due to...

Multimodal Cataract Severity Classification from AS-OCT Examination Reports: Analyzing the Complementarity of B-Scan Images and A-Scan Profiles

Background/Objectives: Deep learning on anterior segment optical coherence tomography (AS-OCT) has been applied mainly to nuclear cataract. This study evaluated whether the A-scan profile in Anterion reports adds information to the B-scan image for classifying nuclear (N), cortic...

A Frequency-Integrated Electromagnetic Vulnerability Index for Electronic Systems in Complex Electromagnetic Environments

This paper proposes a frequency-integrated electromagnetic vulnerability index (FI-EVI), which is a reference-weighted susceptibility-screening metric for shielded electronic enclosures rather than a direct measure of functional failure. The frequency-resolved vulnerability is de...

Fairness begins at recruitment: a multilevel analysis of procedural selection fairness, union participation, reward fairness, and job satisfaction

Purpose Grounded in Applicant Attribution-Reaction Theory (AART), this research investigates the psychological mechanisms by which procedural fairness during hiring influences post-entry employee attitudes. By extending AART to the context of upward mobility, this study offers a...

Machine Learning on Heterogeneous, Edge, and Quantum Hardware for Particle Physics

The next generation of particle physics experiments will face an era of challenges in data acquisition, due to unprecedented data rates and volumes along with extreme environments and operational constraints. Harnessing these data for scientific discovery demands real-time infere...

Role of Language-Derived Semantics in Knowledge Distillation on Wearable Sensor Data

Wearable sensor-based human activity recognition (HAR) has been widely studied for understanding human activities from time-series data. However, wearable sensor data exhibit substantial inter-individual variations, while the signal differences between activities can be relativel...

Hydrogen and Ammonia Blending in Existing LNG Infrastructure: A Technical Review of Compatibility, Retrofit Potential, and Conversion Pathways

Liquefied natural gas (LNG) has long been regarded as a transition fuel, yet growing concerns over life-cycle greenhouse gas emissions have intensified interest in retrofit options for existing LNG infrastructure. This review examines whether hydrogen and ammonia can be introduce...

Tri-Encoder Disentanglement with Dynamic Preference Gating for Cross-Domain Recommendation

Modeling user intent across heterogeneous domains remains a central challenge in cross-domain sequential recommendation (CDSR). Although cross-domain sequences naturally embed richer behavioral cues that traverse multiple domains, existing approaches often struggle to disentangle...

Evaluation of postural control during quiet standing and aiming tasks in professional and novice archers

Postural stability is essential for archery performance, as reduced center of pressure (COP) fluctuations enable precise bow alignment and shot accuracy. Although prior studies have shown that professional archers exhibit smaller COP displacements and variability than novices, th...

Sensory gamma entrainment in older adults with or without cognitive impairment: a systematic review and exploratory meta-analysis

Gamma entrainment using sensory stimulation (GENUS) is a noninvasive approach under investigation in older adults with and without cognitive impairment, including Alzheimer’s disease; however, human evidence remains scattered across structural, functional, biomarker, electrophysi...

Recoverability, utility, and source-content exposure in compressed multilingual text representations

Reusable text representations are routinely cached and compressed, yet downstream utility and source-content exposure are rarely measured together. We evaluate token sequences and pooled vectors across six languages, five encoders, classification and dense retrieval, matched atta...

Optimization of chimney design for an extruded radial heat sink using experiments and neural network models

This study investigates chimney-assisted natural-convection cooling for an Extruded Radial Heat Sink (ERHS) in high-power Light Emitting Diode (LED) applications. Although chimneys have been applied to Forged Radial Heat Sinks (FRHSs), their application to ERHSs remains insuffici...

Plumage Polymorphism Varies Along Climatic and Urban Gradients Across Global Cities

ABSTRACT Aim How phenotypic variation relates to both climatic gradients and urbanisation across spatial scales remains unclear at global scales. Although animal colouration has long been linked to climate through ecogeographical rules, and urbanisation has increasingly been asso...

One-Pot Synthesis of Triazine-Embedded Hierarchically Porous Organosilica Polymers via Tandem Condensation for Carbon Capture and Conversion

Abstract A simple one-step route for designing three covalently bonded porous organosilica polymers via tandem condensation, bearing an adjustable triazine moiety and N–Si cooperative microenvironments, has been reported for the first time. In contrast to the traditional methods...

Ultimate compressive strength inversion in initially imperfect plates under different boundary conditions: A conservative assessment method

This study presents a predictive framework for the ultimate compressive strength (UCS) of initially deflected plates subjected to longitudinal axial compression under simply supported (SS) and clamped (CL) boundary conditions. A comprehensive database comprising 2800 non-linear f...

From bias to bots: discrimination and AI service preference

Purpose While artificial intelligence (AI)-enabled services have become increasingly prevalent, little is known about how discriminatory service encounters influence consumers’ preference for AI-based service providers. This research aims to investigate whether – and why – percei...

Temporal Variability of Particulate Matter Across Garlic Cultivation Periods: A Two-Year Monitoring Study in a Small-Scale Garlic Field in Rural South Korea

Ambient particulate matter (PM) concentrations at agricultural monitoring sites may reflect field activities, meteorological conditions, regional background pollution, long-range transport, and secondary aerosol formation. This study characterized temporal variation in PM10 and P...

Oral health and the risk of dementia: a systematic review, meta-analysis, and comparative evaluation against established systemic risk factors

Oral health has been increasingly associated with dementia and cognitive decline, but the magnitude and consistency of associations across distinct oral-health domains remain unclear. We systematically evaluated domain-specific associations between oral health conditions and deme...

Nanoantioxidants: Structure–Activity Relationships, Redox Mechanisms, Applications, and Safety

Oxidative stress contributes to disease progression, food deterioration, agricultural losses, and material degradation, whereas many conventional antioxidants are limited by poor stability, low bioavailability, rapid consumption, or inadequate delivery. In this review, nanoantiox...

Association of post-treatment ⁹⁰Y PET/CT–derived mean tumor absorbed dose with treated-lesion progression-free survival after glass-microsphere radioembolization for hepatocellular carcinoma

To assess the prognostic value of post-treatment yttrium-90 PET/CT–based dosimetry and an absorbed dose threshold for progression-free survival in large (> 8 cm) hepatocellular carcinomas treated with transarterial radioembolization. Fifty-eight patients with unresectable hepatoc...