Publications by authors named "Yulin Sun"

Active Domain Adaptation (ADA) improves knowledge transfer efficiency from the labeled source domain to the unlabeled target domain by selecting a few target sample labels. However, most existing active sampling methods ignore the local uncertainty of neighbors in the target domain,making it easier to pick out anomalous samples that are detrimental to the model. To address this problem, we present a new approach to active domain adaptation called Local Uncertainty Energy Transfer (LUET), which integrates active learning of local uncertainty confusion and energy transfer alignment constraints into a unified framework.

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Introduction: The impact of distinct primary colorectal cancer (CRC) sites on lung injury and complications remains largely unexplored, despite the palpable differences in surgical positions, procedures, and the resulting mechanically induced respiratory pressures at each site.

Materials And Methods: This study employed a forwards-looking approach utilising the propensity score matching (PSM) method; 300 patients with pathological CRC after laparoscopic surgery from April 2019 to May 2023 were enrolled. Two categories were bifurcated based on their surgical locations: the rectosigmoid colon (RSC) group and the descending/ascending colon (DAC) group, with a 2:1 ratio.

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Background: Cell-assisted lipotransfer (CAL) and platelet-rich plasma (PRP)-assisted lipotransfer have been used to overcome the low survival rate of conventional lipotransfer. However, there is still insufficient evidence to determine which technique is the best strategy for autologous fat grafting in breast cosmetic and reconstructive surgery. The present study aimed to compare the efficacy of traditional fat transplantation, CAL, and PRP-assisted lipotransfer.

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Chinese construction enterprises are at a pivotal point in their transition to sustainable development, with Environmental, Social, and Governance (ESG) emerging as a key driver. However, limited understanding of ESG mechanisms hampers effective management strategies. To address this challenge, this study constructs an ESG introduction mechanism framework based on Bayesian networks and machine learning algorithms.

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This study aims to explore the effects of Yin and Yang Double Supplement Compound Chinese Medicine Preparations (YYSBFF) on the reproductive performance, antioxidant levels, and immunity of dairy goats. For the experiment, 36 Alps milk goats were selected and randomly divided into an experimental group and a control group, with 18 goats in each group. The ewes in the experimental group were fed with YYSBFF for 14 d prior to breeding and farrowing.

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Physical activity reduces chronic disease risk and enhances immune function, but its causal relationship with thymic tumors-rare neoplasms of the anterior mediastinum-remains unclear. This study investigated whether physical activity reduces thymic tumor risk and whether circulating cytokines mediate this effect. We performed a two-sample Mendelian randomization (MR) analysis using genetic variants as instrumental variables for physical activity and cytokines.

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Background: The increased incidence of androgenic alopecia (AGA) causes adverse physiological and psychological effects on people of all genders. The hair follicle stem cells (HFSCs) have displayed clinical improvements on AGA. However, the molecular mechanism of HFSCs against AGA remains elusive.

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Natural Xanthine oxidase (XOD) inhibitors represent promising therapeutic agents for hyperuricemia (HUA) treatment due to their potent efficacy and favorable safety profiles. This study involved the construction of a comprehensive database of 315 XOD inhibitors and development of 28 machine learning-based QSAR models. The ChemoPy light gradient boosting machine model exhibited the best performance (AUC = 0.

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At present, at least 30% of refractory epilepsy patients in the world cannot be effectively controlled and treated. The suddenness and unpredictability of seizures greatly affect the physical and mental health and even the life safety of patients, and the realization of early prediction of seizures and the adoption of interventions are of great significance to the improvement of patients' quality of life. In this paper, we firstly introduce the design process of EEG-based seizure prediction methods, introduce several databases commonly used in the research, and summarize the commonly used methods in pre-processing, feature extraction, classification and identification, and post-processing.

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Peptide-based biofluorescents are of great interest due to their controllability and biocompatibility, as well as their potential applications in biomedical imaging and biosensing. Here, we present a simple approach to synthesizing full-color fluorescent nanomaterials with broad-spectrum fluorescence emissions, high optical stability, and long fluorescence lifetimes. By doping amino acids during the enzyme-catalyzed oxidative self-assembly of tyrosine-based peptides, we can precisely control the intermolecular interactions to obtain nanoparticles with fluorescence emission at different wavelengths.

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Traditional molecular descriptors have contributed to the prediction of angiotensin I-converting enzyme (ACE) inhibitory peptides, but they often fall short in capturing the complex structure of the molecule. To address these limitations, this study introduces molecular graphs as an advanced method for peptide characterization. Peptides containing 2-10 amino acids were represented using molecular graphs, and a graph convolutional network (GCN) model was constructed to predict variable-length peptides.

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Background: Melanoma, a significant global health concern, has shown evolving epidemiologic trends. Accurate estimation of melanoma's burden is essential for public health strategies and interventions.

Objectives: This study aims to estimate the incidence, mortality, and disability-adjusted life years for melanoma, stratified by region, gender, and age group, from 1990 to 2021.

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Objective: To investigate the incremental value of pericoronary fat attenuation index (FAI) in routine coronary artery computed tomography angiography (CCTA) to identify culprit lesions in acute coronary syndrome (ACS).

Methods: We reviewed the CCTA data from 80 ACS patients and 40 individuals with stable coronary atherosclerosis. ACS patient plaques were categorized into culprit and nonculprit groups.

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The polar bear (Ursus maritimus) occupies a relatively narrow ecological niche, with many traits adapted for cold temperatures, movement across snow, ice and open water, and for consuming highly lipid-dense prey species. The divergence of polar bears from brown bears (Ursus arctos) and their adaptation to their Arctic lifestyle is a well-known example of rapid evolution. Previous research investigating whole genomes uncovered twelve key genes that are highly differentiated between polar and brown bears, show signatures of selection in the polar bear lineage, and are associated with polar bear adaptation to the Arctic environment.

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Article Synopsis
  • Emotion recognition is vital for enhancing human-computer interaction, and the study introduces the Mixed Attention-based Convolution and Transformer Network (MACTN) as a novel model using EEG data to capture emotional states.
  • The model employs depth-wise and separable convolutions for local feature extraction and a self-attention-based transformer for global context, along with channel attention to optimize emotion-channel relationships.
  • MACTN shows significant improvements in emotion recognition accuracy in both online and offline evaluations and won the Emotional BCI Competition at the World Robot Contest, with its source code available for public use.
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Background: Breast cancer, the most prevalent tumor in women globally, significantly impacts young women, compromising their daily lives and overall well-being. Breast cancer represents a significant public health concern due to its extensive physical and psychological consequences.

Material And Methods: Data from the Global Burden of Disease (GBD) were used to assess the global, regional, and national burden of breast cancer in young women aged 20-39 from 1990 to 2021.

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The electrooxidation of catalyst surfaces is across various electrocatalytic reactions, directly impacting their activity, stability and selectivity. Precisely characterizing the electrooxidation on well-defined surfaces is essential to understanding electrocatalytic reactions comprehensively. Herein, we employed in situ Raman spectroscopy to monitor the electrooxidation process of palladium single crystal.

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Article Synopsis
  • Exosomes and stem cell-derived extracellular vesicles (SC-EVs) are gaining attention in skin and plastic surgery research due to their potential biological benefits.
  • A detailed study from 2003 to 2023 identified 1089 relevant publications, with notable contributions from China and key journals leading the field.
  • The review highlights major research themes, particularly in wound healing and skin rejuvenation, and suggests future directions for researchers interested in SC-EVs.
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"Exercise is the best medicine" is well known, but the optimal dose of physical activity (PA) for males and females across different age groups is still unknown. This study, using data from the four waves of CHARLS, aimed to determine the optimal PA dose that reduces frailty risks among older adults across various age groups and both sexes. We created a frailty index score using 63 health-related variables and used 0.

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Physical activity and sedentary behavior, both distinct lifestyle behaviors associated with brain health, have an unclear potential relationship with brain cortical structure. This study aimed to determine the causal link between physical activity, sedentary behavior, and brain cortical structure (cortical surface area and thickness) through Mendelian randomization analysis. The inverse-variance weighted method was primarily utilized, accompanied by sensitivity analyses, to confirm the results' robustness and accuracy.

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Androgenic alopecia (AGA) is a highly prevalent form of non-scarring alopecia but lacks effective treatments. Stem cell exosomes have similar repair effects to stem cells, suffer from the drawbacks of high cost and low yield yet. Cell-derived nanovesicles acquired through mechanical extrusion exhibit favorable biomimetic properties similar to exosomes, enabling them to efficiently encapsulate substantial quantities of therapeutic proteins.

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Adipose tissue macrophages can promote beige adipose thermogenesis by altering local sympathetic activity. Here, we perform sympathectomy in mice and further eradicate subcutaneous adipose macrophages and discover that these macrophages have a direct beige-promoting function that is independent of sympathetic system. We further identify adipocyte Ets1 as a vital mediator in this process.

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