Publications by authors named "Kang U"

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.

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Background: 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.

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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.
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  • 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.
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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.

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  • * Recently, there have been great breakthroughs for MS, with new medications being approved, but people with PD still have not gotten new treatments and only have old ones that don't work as well.
  • * Experts from around the world gathered in Toronto to discuss how to improve treatment for PD by learning from what worked for MS, focusing on things like better clinical trials and understanding the diseases better.
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Objective: This study investigated the neurocognitive characteristics of patients who visited an outpatient clinic requesting diagnosis and treatment for adult attention-deficit/hyperactivity disorder (ADHD).

Methods: The patients' electronic medical records were retrospectively reviewed. Neurocognitive test results were compared using Student's t-test according to their chief complaint, depressive symptoms, childhood history, and intelligence quotient (IQ).

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  • * Liquid chromatography-mass spectrometry (LC-MS) has identified many potential protein biomarkers for PDAC, but few have been successfully utilized in clinics due to a lack of focus on practical implementation needs during development.
  • * The authors developed a multi-marker diagnostic panel for PDAC using a robust LC-MS protocol, incorporating 12 validated protein biomarkers and simple serum sample preparation to enhance clinical applicability and adoption.
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Associative multimodal artificial intelligence (AMAI) has gained significant attention across various fields, yet its implementation poses challenges due to the burden on computing and memory resources. To address these challenges, researchers have paid increasing attention to neuromorphic devices based on novel materials and structures, which can implement classical conditioning behaviors with simplified circuitry. Herein, we introduce an artificial multimodal neuron device that shows not only the acquisition behavior but also the extinction and the spontaneous recovery behaviors for the first time.

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How can a smart home system control a connected device to be in a desired state? Recent developments in the Internet of Things (IoT) technology enable people to control various devices with the smart home system rather than physical contact. Furthermore, smart home systems cooperate with voice assistants such as Bixby or Alexa allowing users to control their devices through voice. In this process, a user's query clarifies the target state of the device rather than the actions to perform.

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  • The study investigates the differences in protein expression in the plasma of breast cancer patients compared to healthy individuals to discover potential biomarkers.
  • Serum samples from 10 breast cancer patients and 10 healthy controls were analyzed using liquid chromatography-mass spectrometry, revealing a total of 891 identified proteins.
  • The analysis highlighted 30 proteins that were upregulated and 100 downregulated in breast cancer patients, with 10 proteins chosen as potential biomarkers, suggesting that plasma proteome profiling could aid in early detection and tailored treatment approaches for breast cancer.
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Behavioral sensitization is defined as the enhanced behavioral response to drugs of abuse after repeated exposure, which can serve as a behavioral model of addiction. Our previous study demonstrated that behavioral cross-sensitization occurs between cocaine and ethanol, suggesting commonalities between these drugs. N-methyl-d-aspartate (NMDA) receptors play important roles in synaptic plasticity, learning, memory, and addiction-associated behaviors.

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Given a graph dataset, how can we generate meaningful graph representations that maximize classification accuracy? Learning representative graph embeddings is important for solving various real-world graph-based tasks. Graph contrastive learning aims to learn representations of graphs by capturing the relationship between the original graph and the augmented graph. However, previous contrastive learning methods neither capture semantic information within graphs nor consider both nodes and graphs while learning graph embeddings.

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Rationale: Electroconvulsive therapy (ECT) is an effective treatment modality for schizophrenia. However, its antipsychotic-like mechanism remains unclear.

Objectives: To gain insight into the antipsychotic-like actions of ECT, this study investigated how repeated treatments of electroconvulsive seizure (ECS), an animal model for ECT, affect the behavioral and transcriptomic profile of a neurodevelopmental animal model of schizophrenia.

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The aim of this work is to investigate and analyze the operation mechanism and power control principle of a bolted Langevin type (BLT)-loaded phase-shifted control inverter and to find a safe power control method for a phase-shifted control inverter used to drive a high-power BLT by preventing the differential current (shock current) from occurring in the right branches of a phase-shifted full-bridge circuit. In this paper, by allowing the inverter operating frequency to operate under inductive loads that coincide with the zero points of voltage and current rather than the resonant frequency of the BLT, which results in the generation of a shock current in the right branch of the full-bridge circuit, the switches of the right-branch also enabled zero-voltage, zero-current switching on (ZVZCS turn-on). The proposed method can fundamentally eliminate the generation of shock current by realizing ZVZCS turn-on on the right-branch switch elements of the inverter.

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Two-photon microscopy (TPM) is an attractive biomedical imaging method due to its large penetration depth and optical sectioning capability. In particular, label-free autofluorescence imaging offers various advantages for imaging biological samples. However, relatively low intensity of autofluorescence leads to low signal-to-noise ratio (SNR), causing practical challenges for imaging biological samples.

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Introduction: Impaired autophagy is a pathogenic mechanism in the synucleinopathies. Sirolimus, a potent mTOR inhibitor and autophagy activator, had no beneficial effects in a randomized placebo-controlled trial in patients with multiple system atrophy (MSA). Whether sirolimus effectively inhibited brain mTOR activity was unknown.

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Background: Long-term use of levodopa for Parkinson's disease (PD) treatment is often hindered by development of motor complications, including levodopa-induced dyskinesia (LID). The substantia nigra pars reticulata (SNr) and globus pallidus internal segment (GPi) are the output nuclei of the basal ganglia. Dysregulation of SNr and GPi activity contributes to PD pathophysiology and LID.

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Background: Food allergy (FA) can have a profound effect on quality of life (QoL), stress, and anxiety in the family. We aimed to validate the Korean version of the Food Allergy Quality of Life-Parental Burden (FAQL-PB) and identify factors related to the parental psychosocial burden of caring for children with FAs.

Methods: Parents of children aged between 6 months and 17 years with immunoglobulin E (IgE)-mediated FAs from the Pediatric Allergy Department of five university hospitals in Korea were enrolled in the study.

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Given a large Transformer model, how can we obtain a small and computationally efficient model which maintains the performance of the original model? Transformer has shown significant performance improvements for many NLP tasks in recent years. However, their large size, expensive computational cost, and long inference time make it challenging to deploy them to resource-constrained devices. Existing Transformer compression methods mainly focus on reducing the size of the encoder ignoring the fact that the decoder takes the major portion of the long inference time.

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Repeated administration of drugs of abuse leads to progressively greater behavioral responses; this phenomenon is referred to as behavioral sensitization. MK-801 blocks the N-methyl-d-aspartate (NMDA) receptor and elicits behavioral sensitization. Ketamine and phencyclidine, are also NMDA antagonists and have well-documented abuse potential.

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Astrocytes are a highly abundant glial cell type that perform critical homeostatic functions in the central nervous system. Like neurons, astrocytes have many discrete heterogenous subtypes. The subtype identity and functions are, at least in part, associated with their anatomical location and can be highly restricted to strategically important anatomical domains.

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Purpose: Practical challenges are encountered in percutaneous intravascular procedures when applied to markedly angulated branching vessels. Herein, we introduced a folded-loop guidewire remodeling technique-the guidewire-shaping technique-to overcome difficult catheterization.

Materials And Methods: First, the tip of a 0.

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