Publications by authors named "Wang Ruixuan"

Despite that supervised learning has demonstrated impressive accuracy in medical image segmentation, its reliance on large labeled datasets poses a challenge due to the effort and expertise required for data acquisition. Semi-supervised learning has emerged as a potential solution. However, it tends to yield satisfactory segmentation performance in the central region of the foreground, but struggles in the edge region.

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Flexible and stretchable strain sensors are in high demand in sports performance monitoring, structural health monitoring, and biomedical applications. However, existing stretchable soft sensors, primarily based on soft polymer materials, often suffer from drawbacks, including high hysteresis, low durability, and delayed response. To overcome these limitations, we introduced a stretchable miniature fiber sensor comprised of a stretchable core tightly coiled with parallel conductive wires.

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Spatial omics methods are extensions of traditional histological methods that can illuminate important biomedical mechanisms of physiology and disease by examining the distribution of biomolecules, including nucleic acids, proteins, lipids, and metabolites, at microscale resolution within tissues or individual cells. Since, for some applications, the desired resolution for spatial omics approaches the nanometer scale, classical tools have inherent limitations when applied to spatial omics analyses, and they can measure only a limited number of targets. Nanotechnology applications have been instrumental in overcoming these bottlenecks.

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  • Tellurium's unique p-type properties and stability have led to renewed interest in its application in semiconductors, particularly in creating high-quality nanoflakes.
  • A new physical vapor deposition method was used to synthesize these Te nanoflakes, achieving a remarkable field-effect hole mobility of 1450 cm/(V s), the highest for 2D p-type semiconductors.
  • The integration of Te with MoS in heterostructures enables the development of photodetectors with impressive characteristics, including high current responsivity and strong gate tunability, outperforming traditional Si-MoS models.
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Introduction: Acute lung injury (ALI) and its subsequent progression to acute respiratory distress syndrome (ARDS) are severe respiratory conditions. They are marked by rapid lung function deterioration and extensive pulmonary inflammation, often resulting in critical patient outcomes. Alveolar macrophages (AMs) and monocyte-derived macrophages (MDMs) are two distinct subsets of lung macrophages present in the alveoli during ALI.

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  • Colorectal neuroendocrine tumors (NETs) require different treatment strategies than colorectal carcinoma (CRC), leading to the need for effective differentiation methods.
  • The proposed method uses pathological images to generate robust features by focusing on 2% of the most relevant diagnostic patches, achieving high accuracy metrics (AUROC of 0.9974, 0.9724, and 0.9513 across different datasets).
  • This model reduces the need for unnecessary tests and improves treatment precision for colorectal tumors, while also advancing low-complexity AI applications in clinical practices.
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Objectives: Rhein is one of the main bioactive compounds in the Polygonaceae plant, and has been proven to have anti-cancer activity in some reports. But the mechanism of Rhein in the treatment of gastric cancer (GC) is limited reported. In this research, network pharmacology combined with in vitro experiments was used for systematically studying the mechanism of Rhein.

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Epithelial-derived IL-33 (Interleukin-33), as a member of alarm signals, is a chemical substance produced under harmful stimuli that can promote innate immunity and activate adaptive immune responses. Type 2 inflammation refers to inflammation primarily mediated by Type 2 helper T cells (Th2), Type 2 innate lymphoid cells (ILC2), and related cytokines. Type 2 inflammation manifests in various forms in the lungs, with diseases such as asthma and chronic obstructive pulmonary disease chronic obstructive pulmonary disease (COPD) closely associated with Type 2 inflammation.

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Microstructures of additively manufactured metal parts are crucial since they determine the mechanical properties. The evolution of the microstructures during layer-wise printing is complex due to continuous re-melting and reheating effects. The current approach to studying this phenomenon relies on time-consuming numerical models such as finite element analysis due to the lack of effective sub-surface temperature measurement techniques.

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  • - Despite advances in epilepsy prediction through machine learning, traditional models struggle with dynamic data in real-time clinical settings due to a phenomenon known as catastrophic forgetting (CF), where previously learned information is lost as new data is introduced.
  • - The paper presents a continual learning strategy called Memory Projection (MP) that integrates core algorithms to prevent CF, allowing models to adapt to individual patient EEG data while maintaining performance and knowledge transfer.
  • - Experimental results indicate that MP achieves low forgetting rates (under 5% for accuracy and sensitivity) even when learning from diverse datasets, outperforming other continual learning methods while requiring minimal storage and computational resources, showcasing its practical application for seizure prediction.
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  • Genetic tests, such as germline and tumor testing, are important for enhancing care for cancer patients and their families, yet data on how patients engage in genetic testing discussions with healthcare providers is limited.
  • A study of cancer survivors (ages 18+) from the 2021 Health Information and National Trends Survey revealed that 17% had germline testing and 8.5% had tumor testing, with factors like age, gender, education, and insurance affecting these rates.
  • The findings indicated that younger, college-educated females with private insurance were more likely to undergo genetic testing and that patients with ovarian or breast cancers had significantly higher testing rates compared to others.
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Psoriatic arthritis (PsA) is characterized by multi-joint involvement, primarily affecting the small joints in the hands and feet. However, the specific pattern of joint involvement at an individual level remains uncertain. This study aimed to elucidate the pattern of joint involvement in a PsA cohort.

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Objectives: The integrated practice unit (IPU) aims to improve care for patients with complex medical and social needs through care coordination, medication reconciliation, and connection to community resources. This study examined the effects of IPU enrollment on emergency department (ED) utilization and health care costs among frequent ED utilizers with complex needs.

Methods: We extracted electronic health records (EHR) data from patients in a large health care system who had at least four distinct ED visits within any 6-month period between March 1, 2018, and May 30, 2021.

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  • Researchers aim to create nanodevices that target specific organs or cells, which is a key goal in synthetic biology.
  • Recent advancements in DNA nanotechnology, particularly DNA origami, have enabled the construction of robust nanodevices for delivering drugs to tumors, despite challenges like structural fragility and targeting.
  • The study highlights the successful encapsulation of DNA origami in lipid-based nanoparticles, enhancing the delivery and effectiveness of genetic material (like mRNA and siRNA) in mouse organs, paving the way for better organ-specific gene expression control.
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Multiple epigenetic regulatory mechanisms exert critical roles in tumor development, and understanding the interactions and impact of diverse epigenetic modifications on gene expression in cancer is crucial for the development of precision medicine. We found that methyltransferase-like 14 (METTL14) was significantly downregulated in non-small-cell lung cancer (NSCLC) tissues. Functional experiments demonstrated that overexpression of METTL14 inhibited the proliferation and migration of NSCLC cells both in vivo and in vitro, and the colorimetric mA quantification assay also showed that knockdown of METTL14 notably reduced global mA modification levels in NSCLC cells.

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The existing silicon-carbide-on-insulator photonic platform utilizes a thin layer of silicon dioxide under silicon carbide (SiC) to provide optical confinement and mode isolation. Here, we replace the underneath silicon dioxide layer with 1-µm-thick aluminum nitride and demonstrate a 4H-silicon-carbide-on-aluminum-nitride integrated photonic platform for the first time to our knowledge. Efficient grating couplers, low-loss waveguides, and compact microring resonators with intrinsic quality factors up to 210,000 are fabricated.

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  • Chronic atrophic gastritis (CAG) is linked to oxidative stress and DNA damage in the stomach lining, and Costunolide (COS), a compound from a traditional herb, may have protective effects against this condition.
  • The study aimed to investigate how COS can protect the gastric mucosa from damage caused by N-Methyl-N´-nitro-N-nitrosoguanidine (MNNG) using both animal models and cell cultures.
  • Results indicated that COS enhances protective protein levels, reduces signs of DNA damage and cell death, and works by increasing the expression of the protein Nrf2, which is important for combating oxidative stress.
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The occurrence and development of diabetic vascular diseases are closely linked to inflammation-induced endothelial dysfunction. Puerarin (Pue), the primary component of Pueraria lobata, possesses potent anti-inflammatory properties. However, its vasoprotective role remains elusive.

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Introduction: During postherpetic neuralgia (PHN), the cerebral spinal fluid (CSF) possesses the capability to trigger glial activation and inflammation, yet the specific changes in its composition remain unclear. Recent findings from our research indicate elevations of central bone morphogenetic protein 4 (BMP4) during neuropathic pain (NP), serving as an independent modulator of glial cells. Herein, the aim of the present study is to test the CSF-BMP4 expressions and its role in the glial modulation in the process of PHN.

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Entanglement plays a vital role in quantum information processing. Owing to its unique material properties, silicon carbide recently emerged as a promising candidate for the scalable implementation of advanced quantum information processing capabilities. To date, however, only entanglement of nuclear spins has been reported in silicon carbide, while an entangled photon source, whether it is based on bulk or chip-scale technologies, has remained elusive.

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  • Accurate identification of primary central nervous system lymphoma (PCNSL) during surgery is crucial for effective neurosurgical decisions, but pathologists struggle to differentiate it from other brain lesions like glioma using frozen sections.
  • Researchers developed a deep learning model named LGNet to improve this differentiation, utilizing H&E-stained images, and benchmarked its accuracy against pathologists with varying experience.
  • LGNet demonstrated exceptional performance, achieving high accuracy metrics (AUROCs) in distinguishing PCNSL from glioma and non-PCNSL lesions, significantly surpassing many pathologists, highlighting its potential as a vital tool in surgical diagnoses.
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Purpose: The Lenke classification system is widely utilized as the preoperative evaluation protocol for adolescent idiopathic scoliosis (AIS). However, manual measurement is susceptible to observer-induced variability, which consequently impacts the evaluation of progression. The goal of this investigation was to develop an automated Lenke classification system utilizing innovative deep learning algorithms.

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Purpose: To investigate the association of food insecurity with overall and disease-specific mortality among US cancer survivors.

Methods: Data from the National Health and Nutrition Examination Survey (NHANES 1999-2018) were used to examine the impact of food insecurity on mortality risks among cancer survivors in the US. Study participants aged ≥ 20 years who had a history of cancer and completed the Adult Food Security Survey Module were included.

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This study selects stock data of listed companies in China's A-share stock market from 2011 to 2020 as research samples. Using a fixed-effects model, it examines the impact of analyst optimism on stock price collapses and the moderating effect of information disclosure quality. Simultaneously, it conducts additional research to explore the potential transmission mechanisms involved.

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