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Articles by Lee JB
The bacterial composition signatures of perianal abscess and origin of infecting microbes
The flowchart of the experimental design used in this study was shown in Fig. 1. The studies involving humans were approved by Medical Ethics Committee of Qilu Hospital of Shandong University (Qingdao) under approval number KYLL-2023045. Written informed consent was obtained from all participants.
Multi-angle information aggregation for inductive temporal graph embedding
In the real world, various types of graph data exist, including communication graphs, citation graphs (Jia & Yao, 2024), brain graphs (Ma et al., 2024), and online consultation graphs (Luo & Guo, 2024). The fields of machine learning and data mining have shown significant interest in understanding and learning from such graph data (Cui et al., 2019; Lin, Wang & Lin, 2024).
Automatic classification of kidney CT images with relief based novel hybrid deep model
Some organs are vital in the human body. If these vital organs are missing or not functioning properly, the patient may die. Kidneys are among the first of these vital organs. Approximately 10% of adult individuals are affected by chronic kidney disease, which is among the top 20 causes of death in the world (Al Imran, Amin & Johora, 2018).
Effect of a Wearable Device-Based Physical Activity Intervention in North Korean Refugees: Pilot Randomized Controlled Trial
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First-in-Human Phase 1 Study of a B Cell- and Monocyte-Based Immunotherapeutic Vaccine Against HER2-Positive Advanced Gastric Cancer
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Layer-specific microglia activation drives chronic stress-induced synapse loss
This is a preprint. It has not yet been peer reviewed by a journal. The National Library of Medicine is running a pilot to include preprints that result from research funded by NIH in PMC and PubMed. Display options Abstract Microglia play a pivotal role in mediating the neurological effects of chronic stress, and is implicated in stress-associated diseases such as depression. However, the biological states of microglia in the stressed brain remains unclear.
Errors encountered in the diagnostic pathway: A prospective single-institution study
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A mechanical metamaterial made from a DNA hydrogel
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Clinical utility of a plasma-based comprehensive genomic profiling test in patients with non-small cell lung cancer in Korea
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Renal vascular conductance is unrelated to leg vascular conductance or muscle sympathetic activity at rest and during stress in humans
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Enhanced stability, formulations, and rheological properties of nanoemulsions produced with microfludization for eco-friendly process
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Comparison of outcomes of EUS-guided ablation and surveillance only for pancreatic cystic lesions: a propensity score matching study (with videos)
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Blood dopamine level enhanced by caffeine in men after treadmill running
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A survey of field programmable gate array (FPGA)-based graph convolutional neural network accelerators: challenges and opportunities
Background In the past few years, deep learning has succeeded in artificial intelligence and machine learning, bringing huge progress to society. In many machine learning tasks, such as image classification, video processing, speech recognition, language understanding, data is usually represented in Euclidean space. However, in more and more applications, data are generated from non-Euclidean space and represented as graphs with complex interdependencies between objects (Wu et al., 2021).
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