Publications by authors named "Gao Jiyue"

Objectives: The incidence of peripheral arterial disease (PAD) in China is increasing. We aim to conduct a comprehensive analysis of the burden of PAD.

Methods: We collected information from 1990 to 2019 in the Global Burden of Disease (GBD 2019) study.

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  • STIL is a protein that helps cells divide and may play a key role in triple-negative breast cancer, although its exact effects are still being studied.
  • Researchers found that STIL levels are higher in breast cancer tissues compared to normal ones, and changes in STIL levels can affect cancer cell growth and movement.
  • The study shows that STIL works with another protein, KLF16, to control a protein called FANCD2 that is important for cancer progression, suggesting that STIL could be used as a new target for breast cancer treatments.
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Aflatoxin is a highly toxic substance dispersed in peanuts, which seriously harms the health of humans and animals. In this paper, we propose a new method for aflatoxin B1(AFB1) detection inspired by quantitative remote sensing. Firstly, we obtained the relative content of AFB1 at the sub-pixel level by subpixel decomposition (endmember extraction, nonnegative matrix decomposition).

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Background: Metastasis-Associated in Colon Cancer 1(MACC1) is a validated biomarker for metastasis and is linked to survival. Although extensive experimental evidence indicates an association between MACC1 and diverse cancers, no pan-cancer analyses have yet been performed for this marker, and the role of MACC1 in immunology remains unknown.

Material And Methods: In our study, we performed the analysis of MACC1 expression and its influence on prognosis using multiple databases, including TIMER2, GEPIA2, Kaplan-Meier plotter.

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  • Crop variety identification is crucial for seed detection and scientific breeding, particularly for peanuts, which vary significantly in yield and quality.
  • Traditional methods of identifying peanut varieties are subjective and lack generalization, making them less effective.
  • The paper presents an improved VGG16 deep learning model that achieves a 96.7% accuracy in identifying 12 peanut varieties, outperforming other classic models and demonstrating robustness in its application.
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Triple-negative breast cancer (TNBC) is an aggressive, difficult-to-treat subtype of cancer with a poor prognosis; there is an urgent need for effective, targeted molecular therapies. The cyclin D/cyclin-dependent kinase (CDK)4/6-retinoblastoma protein (Rb) pathway plays a critical role in regulating cell cycle checkpoints, a process which is often disrupted in cancer cells. Selective CDK4/6 inhibitors can prevent retinoblastoma protein phosphorylation by invoking cell cycle arrest in the first growth phase (G1), and may therefore represent an effective treatment option.

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Aflatoxin is commonly exists in moldy foods, it is classified as a class one carcinogen by the World Health Organization. In this paper, we used one dimensional convolution neural network (1D-CNN) to classify whether a pixel contains aflatoxin. Firstly we found the best combination of 1D-CNN parameters were epoch = 30, learning rate = 0.

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The malignant phyllodes tumor (PT) of the breasts is a rare type of fibroepithelial neoplasm. Osteoclast-like giant cells (OLGCs) exist in many types of tumors. But malignant PTs with OLGCs were rarely reported.

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Objective: To investigate the clinical characteristics and clinicopathological correlations of bilateral breast cancer (BBC) in China.

Methods: Data of 440 patients diagnosed with BBC in 2018 were collected from 33 centers of the Chinese Society of Breast Surgery. Demographic characteristics, bilateral tumor characteristics, and comprehensive treatment data were obtained.

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Computer-aided diagnosis (CAD) is widely used for early diagnosis of breast cancer. The commonly used morphological feature (MF), dynamic feature (DF), and texture feature (TF) from breast dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) have been proved very valuable and are studied in this paper. However, previous studies ignored the prior knowledge that most of the benign lesions have clearer and smoother edges than malignant ones.

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Background: Rearranged during transfection () is a well-known proto-oncogene. Multiple oncogenic alterations have been identified, including fusions and mutations. Although fusions have been reported in multiple cancers, mutations were mainly found in multiple endocrine neoplasia type 2 and medullary thyroid carcinoma.

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Article Synopsis
  • Aflatoxin, a highly toxic substance found in maize, can cause liver cancer, making its detection critical.
  • Researchers developed a classification model using hyperspectral data with 600 spectral bands per pixel, categorizing each as 'clean' or 'contaminated'.
  • Various methods were employed for feature selection, with the most successful being the Relieff algorithm, achieving up to 99.38% accuracy using Random Forest classifier; however, using all bands yielded a perfect accuracy of 100%.
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Cancer cells adopt glycolysis to facilitate the generation of biosynthetic substrates demanded by cell proliferation and growth, and to adapt to stress conditions such as excessive reactive oxygen species (ROS) accumulation. TIGAR (TP53-induced glycolysis and apoptosis regulator) is a fructose-2,6-bisphosphatase that is regulated by p53. TIGAR functions to inhibit glycolysis and promote antioxidative activities, which assists the generation of NADPH to maintain the levels of GSH and thus reduces intracellular ROS.

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Background: Plant pests mainly refers to insects and mites that harm crops and products. There are a wide variety of plant pests, with wide distribution, fast reproduction and large quantity, which directly causes serious losses to crops. Therefore, pest recognition is very important for crops to grow healthily, and this in turn affects crop yields and quality.

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Background/aims: Previous preclinical and clinical studies have reported a positive correlation between the expression of the C-C chemokine receptor 7 (CCR7) and the incidence of lymph node metastasis in breast cancer. However, the prognostic relevance of CCR7 expression in breast cancer remains contradictory till now. The aim of this study is to assess the correlation of the CCR7 expression with other clinicopathological features and prognosis in breast cancer.

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Oct-4 and Nanog in regulating the epithelial-mesenchymal transition (EMT) and metastasis of breast cancer has not been clarified. We found that both Oct-4 and Nanog expression were significantly associated with tumor pathology and poor prognosis in 126 breast cancer patients. Characterization of CD44+CD24-Cancer stem cell(CSC) derived from breast cancer cells indicated that CSC rapidly formed mammospheres and had potent tumorigenicity in vivo.

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Background: Certain markers have been identified over the last 10 years that facilitate the prediction of a patient's prognosis; these markers have been proposed to be useful for risk stratification of lymphoma patients and for the development of specific therapeutic strategies. In the present study, we assessed the potential prognostic value of SPRR1A expression in 967 patients with diffuse large B-cell lymphomas.

Methods: All patients were enrolled between 2001 and 2007 (median follow-up, 53.

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It is an important precondition to retrieve the ground surface reflectance exactly for improving the subsequent product of remote sensing images and the quantitative application of remote sensing. However, because the electromagnetic wave is scattered by the atmosphere during its transmission from the ground surface to the sensor, the electromagnetic wave signal of the target received by the sensor contained the signal of the background. The adjacency effect emerges.

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