Publications by authors named "Qiyu Sun"

Introduction: An accurate assessment of prognostic risk is widely recognized to be important in improving the survival of patients with acute coronary syndrome (ACS). This study aimed to investigate the roles of neutrophil-to-lymphocyte * platelet (NLPR) and neutrophil-lymphocyte (NLR) ratios with high- and (HDL-C) and low-density lipoprotein cholesterol (LDL-C) levels in predicting the risk of major adverse cardiovascular events (MACEs) in patients with ACS undergoing percutaneous coronary intervention (PCI).

Results: Overall, 1,263 patients with ACS undergoing PCI between January 2016 and December 2018 were consecutively enrolled.

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Objective: Skeletal muscle is crucial for glucose metabolism, but diabetes impairs this function, leading to muscle atrophy. Although the mutation of BOLA Family Member 3 (BOLA3) resulted in disease Multiple Mitochondrial Dysfunctions Syndrome, the role of which in diabetic muscle atrophy is unclear.

Methods: Firstly, datasets were downloaded and assessed from skeletal muscle tissue with diabetic individuals in GEO database and key genes were screened using weighted gene co-expression network analysis (WGCNA) and machine learning algorithms.

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Background: The aim of this study was to evaluate the diagnostic performance of microRNA-1 in the diagnosis of acute myocardial infarction (AMI).

Methods: PubMed, Embase, Cochrane, Web of science and CNKI databases were searched by computer to collect English literature evaluating the diagnostic value of microRNA-1 in AMI patients. The retrieval period is from the establishment of the database to September 2023.

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Clear cell renal cell carcinoma (ccRCC) is the most common histological subtype of renal cell carcinoma, and the tumour growth and metastasis of ccRCC are related to prognosis. N4-acetylcytidine (ac4C) is one of the major modifications of RNA and is known to be mediated by N-acetyltransferase 10 (NAT10). The role of NAT10 in cancer is gradually being revealed, although the role of NAT10-mediated RNA ac4C modification in ccRCC has not been reported.

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Existing domain adaptation semantic segmentation (DASS) methods under adverse conditions often depend on pseudo-labels for network training. However, these pseudo-labels are frequently plagued by noise and bias toward high-confidence predictions, thereby impeding the enhancement of segmentation performance. This article tackles the above challenge by proposing a novel boundary-based active domain adaptation (ADA) framework, which efficiently selects both informative low-confidence samples and high-confident but misclassified samples to be labeled while maximizing the segmentation performance under a limited annotation budget.

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The incidence of atherosclerosis (AS) remains high, and iron-dependent cell death (termed ferroptosis) is thought to play a key role in the progression of AS. Studies have shown that cathepsin B (CTSB) is an important regulatory molecule in atherosclerosis. However, how CTSB regulates AS progression has not been reported, and whether it is related to ferroptosis is poorly studied.

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Background: Skeletal muscle atrophy is a clinical concern in diabetic nephropathy, and without effective therapeutic approaches. Massive evidence has demonstrated that dapagliflozin, a sodium-glucose co-transporter 2 inhibitor can relieve diabetic nephropathy by inhibiting glucose re-absorption or podocyte pyroptosis. Nevertheless, whether dapagliflozin could treat skeletal muscle atrophy or the potential protection mechanism in diabetic nephropathy mice is unclear.

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Helicobacter pylori (H. pylori) plays an important role in the malignant transformation of the gastric mucosa from chronic inflammation to cancer. However, the mechanisms underlying the epigenetic regulation of gastric carcinogenesis mediated by H.

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Myocardial ischemia-reperfusion injury (MIRI) is a severe damage inflicted on the ischemic myocardium when blood flow is restored, and it commonly occurs in a wide range of cardiovascular diseases. Presently, no effective clinical treatment exists for MIRI. Accumulating evidence indicates that insulin-like growth factor-1 (IGF-1) plays a role in the intricate chain of cardiovascular events, in addition to its well-recognized growth-promoting and metabolic effects.

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Helicobacter pylori (H. pylori) infection is considered to be an important factor in gastric cancer (GC). Long noncoding RNA (lncRNA) and m6A modification are involved in the occurrence and development of GC, but the role of lncRNA m6A modification in the development of GC mediated by H.

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Background: Evidence about the association between albumin combined with neutrophil-to-lymphocyte ratio score (ANS) and survival outcomes in patients with acute coronary syndrome (ACS) undergoing percutaneous coronary intervention (PCI) is rare. This study aimed to evaluate the prognostic value of ANS in patients with ACS undergoing PCI by propensity score matching (PSM) analysis.

Patients And Methods: Patients with ACS undergoing PCI were consecutively enrolled in this prospective cohort study from January 2016 to December 2018.

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Ultra-thin has become the development trend of the direct-lit backlight unit (BLU). Double freeform surface lenses are commonly used in direct-lit BLUs to reduce thickness. However, for an ultra-thin BLU with quite small optical distance (OD) and a large LED pitch distance, the curvature of the designed lens would be quite large, which would make the final optical performance heavily affected by fabrication errors.

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Purpose: The decreased advanced lung cancer inflammation index (ALI), defined as body mass index (BMI) * albumin (Alb)/neutrophil-to-lymphocyte ratio (NLR), is an independent prognostic risk factor for overall survival in gastric, lung, and colorectal cancers. This study aimed to investigate the value of ALI in predicting the risk of major adverse cardiovascular events (MACEs) in patients with acute coronary syndrome (ACS).

Patients And Methods: A total of 1624 patients with ACS undergoing percutaneous coronary intervention (PCI) were consecutively enrolled between January 2016 and December 2018.

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Peer assessment is a common pedagogical practice for evaluating students' writing in college English classrooms. However, in-depth research on the learning outcomes after peer assessment is scarce and inconsistent; how peer feedback is used has not been fully explored either. This study compared peer feedback to teacher feedback and explored the different features of feedback and its impact on draft revision.

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Monocular depth estimation is one of the fundamental tasks in environmental perception and has achieved tremendous progress by virtue of deep learning. However, the performance of trained models tends to degrade or deteriorate when employed on other new datasets due to the gap between different datasets. Though some methods utilize domain adaptation technologies to jointly train different domains and narrow the gap between them, the trained models cannot generalize to new domains that are not involved in training.

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In recent years, artificial intelligence has played an important role on accelerating the whole process of drug discovery. Various of molecular representation schemes of different modals (e.g.

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The aggregate index of systemic inflammation (AISI), systemic inflammation response index (SIRI), and neutrophil-to-lymphocyte*platelet ratio (NLRP) are novel indices that simultaneously reflect the inflammatory and immune status. However, the role of these indices in acute coronary syndrome (ACS) patients undergoing percutaneous coronary intervention (PCI) remains unclear. We aimed to elucidate the predictive value of AISI, SIRI, and NLRP in patients with ACS undergoing PCI.

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Cardiovascular diseases (CVD) and frailty are common health problems among the elderly. This research aims to investigate the hotspots and frontiers of the field of CVD with frailty. Data of publications between 2000 and 2021 were collected from the Web of Science Core Collection (WoSCC) and CiteSpace was used for analyzing the hotspots and frontiers of cardiovascular diseases with frailty research from high-impact countries/regions, institutions, authors, cited references, cited journals, high-frequency keywords, and burst keywords.

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Acute myocardial infarction (AMI) is one of the most serious complications of coronary heart disease. Although morbidity and mortality have been decreasing year by year, acute coronary syndrome still has a high mortality rate and disability rate. To search for accurate and effective biomarkers, we explore the diagnostic and prognostic value of microRNAs (miRNAs) and the monocyte to high-density lipoprotein cholesterol ratio (MHR) in patients with AMI.

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Many researchers have acknowledged the role of metacognition in facilitating learning to write in English as a foreign language (EFL). Although research on metacognition has explored learners' metacognitive knowledge and metacognitive strategies in the field of EFL writing, little is known about the nature of learners' metacognitive experiences in EFL writing. To fill such an important gap, this study was designed to assess EFL learners' metacognitive experiences before, during, and after writing.

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Objective: To analyze the application of standardized nursing procedures in critically ill patients' nursing evaluation.

Methods: 90 cases of critically ill patients aged from 18 to 65 who were treated in our hospital from April 2020 to April 2021 were selected and divided into the control group and observation group, respectively, with 45 cases according to the drawing method. The rescue time, blood pressure, heart rate before and after nursing, adverse mood, length of stay, incidence of adverse events, ICU transfer and death, and satisfaction of 2 groups were statistically analyzed and compared.

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Autonomous systems possess the features of inferring their own state, understanding their surroundings, and performing autonomous navigation. With the applications of learning systems, like deep learning and reinforcement learning, the visual-based self-state estimation, environment perception, and navigation capabilities of autonomous systems have been efficiently addressed, and many new learning-based algorithms have surfaced with respect to autonomous visual perception and navigation. In this review, we focus on the applications of learning-based monocular approaches in ego-motion perception, environment perception, and navigation in autonomous systems, which is different from previous reviews that discussed traditional methods.

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This study aimed to explore the role and potential mechanism of the long non-coding (lncRNA) MBNL1-AS1 in human breast cancer. We included 80 patients with breast cancer in this study. Breast cancer cell lines, including MCF7, SKBR3, MDA-MB-231 and MDA-MB-415, and the normal human breast cell line MCF10A were used in this study.

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Objective: Many recent studies have demonstrated that serum miRNA-208 (miR-208) could be a powerful biomarker in the early diagnosis of acute myocardial infarction (AMI). However, the result of previous studies was not accurate due to the small sample sizes and controversial issues. Therefore, this study was performed to investigate the relationship between the expression levels of miR-208 and AMI.

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