Publications by authors named "Fang Meng"

Object: With the development of new technologies, the surgical algorithm for ossification of posterior longitudinal ligament (OPLL) in the cervical spine also needs to be updated. The aim of this study is to elucidate a new surgical classification algorithm to guide the choice of surgical approaches for cervical OPLL based on its location and extent. In this algorithm, anterior controllable antedisplacement and fusion (ACAF) will be used as a new surgical option.

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  • - The study presents the creation and analysis of pH-sensitive boron and nitrogen co-doped carbon dots (B, N-CDs) that display fluorescence changes between pH levels 3.0 and 6.0 due to their unique aggregation properties.
  • - The fluorescence of B, N-CDs is initially diminished by an interference from chrome azurol S (CAS), but can be restored by adding aluminum, leading to the formation of complexes that allow detection of aluminum.
  • - A dual-mode sensor for aluminum detection was developed, achieving detection limits of 2.67 μM for fluorescence and 4.8 μM for colorimetry, and successfully identified aluminum in tablet samples, indicating potential for real-time applications in
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Training a neural network-based biomedical named entity recognition (BioNER) model usually requires extensive and costly human annotations. While several studies have employed multi-task learning with multiple BioNER datasets to reduce human effort, this approach does not consistently yield performance improvements and may introduce label ambiguity in different biomedical corpora. We aim to tackle those challenges through transfer learning from easily accessible resources with fewer concept overlaps with biomedical datasets.

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Objective: Training a neural network-based biomedical named entity recognition (BioNER) model usually requires extensive and costly human annotations. While several studies have employed multi-task learning with multiple BioNER datasets to reduce human effort, this approach does not consistently yield performance improvements and may introduce label ambiguity in different biomedical corpora. We aim to tackle those challenges through transfer learning from easily accessible resources with fewer concept overlaps with biomedical datasets.

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Background: The co-occurrence of rheumatoid arthritis and depression typically exacerbates pain and leads to a range of adverse consequences, becoming a research hotspot in recent years. This study conducted the systematic retrieval of relevant articles within the past five years and employed bibliometric methods for scientometric analysis.

Methods: Setting the keywords "Rheumatoid arthritis", "Depression" and "Depressive Disorder", relevant literature published between 2019 and 2023 was retrieved from the Web of Science database.

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  • The presence of agricultural biomass-based fertilizers and fecal matter leads to persistent pollution of antibiotic resistance genes in water, posing serious health risks.
  • A new method utilizing designer zinc finger proteins to selectively bind and remove the sul1 gene, which is responsible for sulfonamide resistance, was developed and tested.
  • This method demonstrated over 99% efficiency in removing the sul1 gene from water through a specialized column, offering a promising solution to combat antibiotic resistance in the environment.
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  • The study explores how the quality of tourist-to-tourist interactions (TTI) impacts tourist loyalty, emphasizing its significance for sustainable tourism.
  • It employs self-determination theory to show that satisfaction of basic psychological needs mediates the relationship between TTI quality and loyalty, while sociability acts as a moderator.
  • A survey conducted in various Chinese cities, with 746 responses, confirms these dynamics and offers practical suggestions for tourism managers to enhance tourist relationships and destination sustainability.
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  • This study explores how gas, liquid, and solid phases interact in an Internal Circulation anaerobic reactor used for wastewater treatment.
  • It uses computational fluid dynamics (CFD) simulations to analyze the effects of different velocities of gas and liquid on the distribution of anaerobic granules and various flow characteristics.
  • The research also looks at how the gas and liquid superficial velocities relate to one another in the reactor's first reaction chamber.
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Background: Lots of patients with bipolar disorder (BD) continue to have residual symptoms after treatment in their remission, BD exhibits intricate characteristics and transformation patterns in its residual symptoms, residual symptoms of different polarities and degrees can mix with and transform to each other. There is a need for further investigation of BD as a comprehensive multivariate disease system. The current research lacks network analyses focusing on BD's residual and subsyndromal symptoms.

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  • Recent research suggests proton pump inhibitors (PPIs) may enhance the effectiveness of immune checkpoint inhibitors (ICIs) by increasing PD-L1 expression on tumor cells, although their effect on microbiome diversity is also a concern.
  • In experiments with mice, PPIs were found to boost PD-L1 levels at the cell membrane without changing total protein levels, and they worked synergistically with anti-PD-L1 antibodies to improve tumor response.
  • Clinical data from esophageal cancer patients showed that those using PPIs exhibited higher PD-L1 expression in tumor tissues, indicating a potential link between PPI use and altered immune response in cancer.
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  • The text indicates that there is a correction to an article referenced by its DOI.
  • It emphasizes that the correction is important for ensuring accuracy in the scholarly work.
  • The specifics of the correction are not provided in the text.
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  • Microemulsion systems can create nano/microstructures, but there's a lack of understanding in controlling how these structures form at the interface.
  • The researchers propose a new method called nucleation-inhibited microemulsion interfacial assembly to create polydopamine microvesicles (PDA MVs), which resemble cell shapes and are about 1 µm in size.
  • When modified with antibodies, these PDA MVs significantly boost T-cell activation compared to solid nanoparticles, demonstrating their potential as effective artificial antigen-presenting cells.
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Background: The novel coronavirus SARS-CoV-2 caused the global COVID-19 pandemic. Emerging reports support lower mortality and reduced case numbers in highland areas; however, comparative studies on the cumulative impact of environmental factors and viral genetic diversity on COVID-19 infection rates have not been performed to date.

Objective: The aims of this study were to determine the difference in COVID-19 infection rates between high and low altitudes, and to explore whether the difference in the pandemic trend in the high-altitude region of China compared to that of the lowlands is influenced by environmental factors, population density, and biological mechanisms.

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  • The study aims to develop algorithms using serum biomarkers to detect hepatocellular carcinoma (HCC) early, potentially lowering cancer-related deaths among patients in China.
  • A total of 10,359 subjects were analyzed, leading to the creation of three nomograms that were rigorously validated with high performance (AUC over 0.900) in predicting HCC.
  • These nomograms successfully categorize HCC patients by recurrence and survival rates, with one model (TAGALAD) showing the ability to predict HCC up to 48 weeks before clinical diagnosis.
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  • A study reviewed the outcomes of 27 patients who underwent total or high sacrectomy for giant sacral tumors, comparing those who received a pedicled VRAM flap reconstruction to those with conventional wound closure.
  • The VRAM group showed significant benefits including shorter drainage periods, reduced time in bed, and fewer instances of wound infections compared to the conventional closure group.
  • The findings suggest that using a VRAM flap reconstruction technique is more effective for managing large soft-tissue defects post-surgery, resulting in better clinical outcomes.
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  • Frontotemporal dementia (FTD) is primarily caused by genetic mutations and understanding biomarkers is crucial for developing effective treatments and tracking disease progression.
  • The study analyzed various biomarkers related to lysosomal activity, glial activation, and neuronal health in cerebrospinal fluid and plasma from both mutated carriers and non-carriers of FTD.
  • Key findings revealed elevated levels of lysosomal biomarkers like glucosylsphingosine in plasma and certain brain regions among affected individuals, suggesting potential indicators of disease presence and progression.
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  • * The study utilized network pharmacology and lab experiments to examine how Tan IIA affects liver fibrosis, showing that it improves liver function in a mouse model induced by CCl.
  • * Results indicated that Tan IIA reduces harmful protein expressions linked to fibrosis and enhances antioxidant activity, suggesting it helps regulate liver fibrosis through specific signaling pathways.
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  • Myoprotein degradation increases in obese individuals, leading to a loss of muscle mass, with Atg7 being a key player in regulating protein stability through various pathways.
  • The study utilized a mouse model of diet-induced obesity to investigate the effects of reducing Atg7 expression on muscle degradation and performance, involving multiple experimental techniques like immunofluorescence and western blotting.
  • Results showed that obesity resulted in a notable decrease in muscle area and performance, highlighting the complex role of Atg7 in muscle mass decline due to obesity.
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Background: The incidence of cervical cancer ranks second among malignant tumors in women, exerting a significant impact on their quality of life and overall well-being. The hypoxic microenvironment plays a pivotal role in the initiation and progression of tumorigenesis. The present study aims to investigate the fundamental genes and pathways associated with the hypoxia-inducible factor (HIF-1A) in cervical cancer, aiming to identify potential downstream targets for diagnostic and therapeutic purposes.

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  • Bone metastasis is common in renal cell carcinoma and has a poor prognosis, prompting the need to explore potential therapeutic targets through a detailed analysis of single-cell transcriptomes from both primary and metastatic tumors.* -
  • The study reveals significant immune deficiencies in the bone metastatic environment, highlighting the role of cancer-associated fibroblasts and a dominance of immune inhibitory T cells, which could be targeted for treatment.* -
  • Dynamic changes among various cell types, including the transition of myeloid-derived suppressor cells to macrophages, are observed, pointing to potential avenues for developing new therapies for bone metastatic renal cell carcinoma.*
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  • Surface water monitoring data exhibit variations over time and space, leading to challenges in clustering due to these spatiotemporal characteristics.
  • The paper introduces an improved algorithm called RTADW that enhances the existing TADW model by integrating original time series and spatial information to better capture these characteristics.
  • Application of the RTADW model to various sites in the Liaohe River Basin demonstrates its effectiveness in extracting spatiotemporal features, offering valuable insights for managing water environments and watershed zoning.
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