Publications by authors named "U K Kang"
How can we recommend items to users utilizing multiple types of user behavior data? Multi-behavior recommender systems leverage various types of user behavior data to enhance recommendation performance for the target behavior. These systems aim to provide personalized recommendations, thereby improving user experience, engagement, and satisfaction across different applications such as e-commerce platforms, streaming services, news websites, and content platforms. While previous approaches in multi-behavior recommendation have focused on incorporating behavioral order and dependencies into embedding learning, they often overlook the nuanced importance of individual behaviors in shaping user preferences during model training.
View Article and Find Full Text PDFBackground: α-Synuclein seed amplification assay on cerebrospinal fluid (CSF-αSyn-SAA) has shown high accuracy for Parkinson's disease (PD) diagnosis. The analysis of CSF-αSyn-SAA parameters may provide useful insight to dissect the heterogeneity of synucleinopathies.
Objective: To assess differences in CSF-αSyn-SAA amplification parameters in participants with PD stratified by rapid eye movement (REM) sleep behavior disorder (RBD), dysautonomia, GBA, and LRRK2 variants.
Article Synopsis
- A novel α-synuclein seed amplification assay (synSAA) was developed to differentiate misfolded α-synuclein seeds linked to multiple system atrophy (MSA) and Parkinson's disease (PD).
- The study analyzed cerebrospinal fluid (CSF) and brain samples from various clinical cohorts across multiple medical centers to assess the assay's diagnostic accuracy.
- Findings showed that brain samples with Lewy bodies were positive for synSAA, indicating potential for the assay in distinguishing between MSA and PD in diagnostic settings.
Article Synopsis
- The study highlights the potential of targeting microglia for Alzheimer's disease treatment, emphasizing the need for precise subtypes to navigate the genetic diversity in AD.
- Researchers created models of microglial regulatory networks using patient-specific data, identifying nine distinct patient subtypes based on their molecular mechanisms.
- Key therapeutic targets were found across multiple subtypes, including PICALM, MEF2C, and LAT2, while also clarifying previous contradictory findings regarding microglial signaling pathways.
Real-Time Imaging Assessment of Stress-Induced Vascular Inflammation Using Heartbeat-Synchronized Motion Compensation.
Arterioscler Thromb Vasc Biol
December 2024
Background: Chronic mental stress accelerates atherosclerosis through complicated neuroimmune pathways, needing for advanced imaging techniques to delineate underlying cellular mechanisms. While histopathology, ex vivo imaging, and snapshots of in vivo images offer promising evidence, they lack the ability to capture real-time visualization of blood cell dynamics within pulsatile arteries in longitudinal studies.
Methods: An electrically tunable lens was implemented in intravital optical microscopy, synchronizing the focal plane with heartbeats to follow artery movements.