Xiran Zhang
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View article: Clinical study of PLA2R epitope spreading for predicting proteinuria remission in primary membranous nephropathy
Clinical study of PLA2R epitope spreading for predicting proteinuria remission in primary membranous nephropathy Open
Introduction M-type phospholipase A2 receptor (PLA2R) is the predominant autoantigen in primary membranous nephropathy (PMN), accounting for approximately 70%–80% of cases. Circulating anti-PLA2R IgG is a widely used biomarker to monitor d…
View article: PLA2R1 and HLA-DQA1 SNP in patients with primary membranous nephropathy
PLA2R1 and HLA-DQA1 SNP in patients with primary membranous nephropathy Open
Background Primary membranous nephropathy is a widely recognized autoimmune disease associated with podocyte antigens; the most important autoantigen is PLA2R1. PLA2R1 and HLA-DQA1 play important roles in the production of pathogenic antib…
View article: PPDPF promotes the progression of esophageal squamous cell carcinoma via c-Myc/CD24 axis
PPDPF promotes the progression of esophageal squamous cell carcinoma via c-Myc/CD24 axis Open
Background Despite a series of attempts during the last decades, the prognosis for esophageal squamous cell carcinoma (ESCC) remains poor. Although clinical immunotherapy trials have shown encouraging results, their benefits are limited. T…
View article: Naringin mitigates experimental autoimmune prostatitis by modulating oxidative stress and the NLRP3 inflammasome via the PPAR-γ/NF-κB pathway
Naringin mitigates experimental autoimmune prostatitis by modulating oxidative stress and the NLRP3 inflammasome via the PPAR-γ/NF-κB pathway Open
View article: Integrative single-cell and spatial transcriptomics analysis reveals MDK-NCL pathway’s role in shaping the immunosuppressive environment of lung adenocarcinoma
Integrative single-cell and spatial transcriptomics analysis reveals MDK-NCL pathway’s role in shaping the immunosuppressive environment of lung adenocarcinoma Open
Objectives The tumor microenvironment (TME) plays a critical role in the progression of lung adenocarcinoma (LUAD). This study aims to investigate the cellular composition of the TME in LUAD and assess the role of the MDK-NCL signaling pat…
View article: Role of PLA2R domain antibodies and epitope spreading in risk stratification and prediction of proteinuria remission in primary membranous nephropathy
Role of PLA2R domain antibodies and epitope spreading in risk stratification and prediction of proteinuria remission in primary membranous nephropathy Open
The clinical significance of phospholipase A2 receptor (PLA2R) antigen domain-specific antibodies has not been determined. We investigated the role of serum PLA2R domain antibodies and epitope spreading in risk stratification and proteinur…
View article: Ppg-Cagan: A Ppg Signal with Coronary Artery Disease Synthesis Method Based on Generative Adversarial Learning
Ppg-Cagan: A Ppg Signal with Coronary Artery Disease Synthesis Method Based on Generative Adversarial Learning Open
View article: Exploring gut microbiota and metabolite alterations in patients with thyroid-associated ophthalmopathy using high-throughput sequencing and untargeted metabolomics
Exploring gut microbiota and metabolite alterations in patients with thyroid-associated ophthalmopathy using high-throughput sequencing and untargeted metabolomics Open
Introduction Thyroid-associated ophthalmopathy (TAO) is an autoimmune-driven orbital inflammatory disease. Despite research efforts, its exact pathogenesis remains unclear. This study aimed to characterize the intestinal flora and metaboli…
View article: Application of mendelian randomization in ocular diseases: a review
Application of mendelian randomization in ocular diseases: a review Open
Ocular disorders can significantly lower patients’ quality of life and impose an economic burden on families and society. However, for the majority of these diseases, their prevalence and mechanisms are yet unknown, making prevention, mana…
View article: Predictive value of the domain specific PLA2R antibodies for clinical remission in patients with primary membranous nephropathy: A retrospective study
Predictive value of the domain specific PLA2R antibodies for clinical remission in patients with primary membranous nephropathy: A retrospective study Open
Background M-type phospholipase A2 receptor (PLA2R) is a major auto-antigen of primary membranous nephropathy(PMN). Anti-PLA2R antibody levels are closely associated with disease severity and therapeutic effectiveness. Analysis of PLA2R an…
View article: WCN24-1092 Predictive value of the domain specific PLA2R antibodies for clinical remission in patients with primary membranous nephropathy
WCN24-1092 Predictive value of the domain specific PLA2R antibodies for clinical remission in patients with primary membranous nephropathy Open
M-type phospholipase A2 receptor(PLA2R) is a major autoantigen of primary membranous nephropathy(PMN) and anti-PLA2R antibody levels are closely associated with disease severity and therapeutic effectiveness.With the investigation of the i…
View article: XAF1 promotes colorectal cancer metastasis via VCP–RNF114–JUP axis
XAF1 promotes colorectal cancer metastasis via VCP–RNF114–JUP axis Open
Metastasis is the main cause of colorectal cancer (CRC)-related death, and the 5-year relative survival rate for CRC patients with distant metastasis is only 14%. X-linked inhibitor of apoptosis (XIAP)-associated factor 1 (XAF1) is a zinc-…
View article: Research on the Establishment of Evaluation Index System for Military Software Suppliers
Research on the Establishment of Evaluation Index System for Military Software Suppliers Open
Establishing a scientifically justifiable system of evaluation indices is crucial for selecting and evaluating military software suppliers. Based on an initial screening of the evaluation indices, the grey-rough set method was used to redu…
View article: Research on space pursuit and escape strategy of spacecraft based on the artificial immune algorithm
Research on space pursuit and escape strategy of spacecraft based on the artificial immune algorithm Open
This paper attempts to solve the space pursuit and escape problems of a spacecraft with a fixed stay period. The artificial immune algorithm is used to solve the Nash equilibrium solution in the process of both parties’ pursuit and escape,…
View article: Construction and Simulation of Lanchester Battle Equations Based on Space-based Information Support
Construction and Simulation of Lanchester Battle Equations Based on Space-based Information Support Open
Modern warfare is a joint operation supported by space-based information, and space-based information is a “benefit multiplier” for joint combat effectiveness. In order to study the impact of space-based information support on joint operat…
View article: An Improved RAPID Imaging Method of Defects in Composite Plate Based on Feature Identification by Machine Learning
An Improved RAPID Imaging Method of Defects in Composite Plate Based on Feature Identification by Machine Learning Open
The RAPID (reconstruction algorithm for probabilistic inspection of defect) method based on Lamb wave detection is an effective method to give the position information of a defect in composite plate. In this paper, an improved RAPID imagin…
View article: Peer Review #3 of "PLA2R-IgG4 antibody as a predictive biomarker of treatment effectiveness and prognostic evaluation in patients with idiopathic membranous nephropathy: a retrospective study (v0.1)"
Peer Review #3 of "PLA2R-IgG4 antibody as a predictive biomarker of treatment effectiveness and prognostic evaluation in patients with idiopathic membranous nephropathy: a retrospective study (v0.1)" Open
Background.The Kidney Disease Improving Global Outcomes (KDIGO) 2021 guidelines recommend Rituximab (RTX) as the first-line therapy and phospholipase receptor (PLA2R) antibody as a biomarker for remission and prognosis in patients with idi…
View article: Peer Review #1 of "PLA2R-IgG4 antibody as a predictive biomarker of treatment effectiveness and prognostic evaluation in patients with idiopathic membranous nephropathy: a retrospective study (v0.1)"
Peer Review #1 of "PLA2R-IgG4 antibody as a predictive biomarker of treatment effectiveness and prognostic evaluation in patients with idiopathic membranous nephropathy: a retrospective study (v0.1)" Open
Background.The Kidney Disease Improving Global Outcomes (KDIGO) 2021 guidelines recommend Rituximab (RTX) as the first-line therapy and phospholipase receptor (PLA2R) antibody as a biomarker for remission and prognosis in patients with idi…
View article: PLA2R-IgG4 antibody as a predictive biomarker of treatment effectiveness and prognostic evaluation in patients with idiopathic membranous nephropathy: a retrospective study
PLA2R-IgG4 antibody as a predictive biomarker of treatment effectiveness and prognostic evaluation in patients with idiopathic membranous nephropathy: a retrospective study Open
Background The Kidney Disease Improving Global Outcomes (KDIGO) 2021 guidelines recommend Rituximab (RTX) as the first-line therapy and phospholipase A2 receptor (PLA2R) antibody as a biomarker for remission and prognosis in patients with …
View article: The transcription factor <i>RXRA</i> regulates lipid metabolism in duck myoblasts by the <i>CD36</i> network
The transcription factor <i>RXRA</i> regulates lipid metabolism in duck myoblasts by the <i>CD36</i> network Open
Lipid metabolism is a highly complex metabolic process regulated at multiple levels. RXRA is a well-characterized factor that regulates lipid metabolism. To explore the function and mechanism of the transcription factor RXRA in myoblasts, …
View article: An Intelligence Method for Recognizing Multiple Defects in Rail
An Intelligence Method for Recognizing Multiple Defects in Rail Open
Ultrasonic guided waves are sensitive to many different types of defects and have been studied for defect recognition in rail. However, most fault recognition algorithms need to extract features from the time domain, frequency domain, or t…
View article: Kernelized k-Local Hyperplane Distance Nearest-Neighbor Model for Predicting Cerebrovascular Disease in Patients With End-Stage Renal Disease
Kernelized k-Local Hyperplane Distance Nearest-Neighbor Model for Predicting Cerebrovascular Disease in Patients With End-Stage Renal Disease Open
Detecting and treating cerebrovascular diseases are essential for the survival of patients with chronic kidney disease (CKD). Machine learning algorithms can be used to effectively predict stroke risk in patients with end-stage renal disea…
View article: Sharp Bounds for Generalized <a:math xmlns:a="http://www.w3.org/1998/Math/MathML" id="M1"> <a:mi>m</a:mi> </a:math>-Linear <c:math xmlns:c="http://www.w3.org/1998/Math/MathML" id="M2"> <c:mi>n</c:mi> </c:math>-Dimensional <e:math xmlns:e="http://www.w3.org/1998/Math/MathML" id="M3"> <e:mi>p</e:mi> </e:math>-Adic Hardy-Littlewood-Pólya Operator
Sharp Bounds for Generalized m -Linear n -Dimensional p -Adic Hardy-Littlewood-Pólya Operator Open
In this paper, we study the sharp bounds for the generalized m -linear n -dimensional p -adic Hardy-Littlewood-Pólya operator on central and noncentral p -adic Morrey spaces with power weight. As an application, the sharp bounds fo…
View article: A PLA2R-IgG4 Antibody-Based Predictive Model for Assessing Risk Stratification of Idiopathic Membranous Nephropathy
A PLA2R-IgG4 Antibody-Based Predictive Model for Assessing Risk Stratification of Idiopathic Membranous Nephropathy Open
Background. Known as an autoimmune glomerular disease, idiopathic membranous nephropathy (IMN) is considered to be associated with phospholipase A2 receptor (PLA2R) in terms of the main pathogenesis. The quantitative detection of serum PLA…
View article: A Self-Representation-Based Fuzzy SVM Model for Predicting Vascular Calcification of Hemodialysis Patients
A Self-Representation-Based Fuzzy SVM Model for Predicting Vascular Calcification of Hemodialysis Patients Open
In end-stage renal disease (ESRD), vascular calcification risk factors are essential for the survival of hemodialysis patients. To effectively assess the level of vascular calcification, the machine learning algorithm can be used to predic…
View article: Stereo Correspondence and Reconstruction of Endoscopic Data Challenge
Stereo Correspondence and Reconstruction of Endoscopic Data Challenge Open
The stereo correspondence and reconstruction of endoscopic data sub-challenge was organized during the Endovis challenge at MICCAI 2019 in Shenzhen, China. The task was to perform dense depth estimation using 7 training datasets and 2 test…
View article: Study on Efficient Fused Deposition Modelling of Thermoplastic Polyurethane Inflatable Wall Features for Airtightness
Study on Efficient Fused Deposition Modelling of Thermoplastic Polyurethane Inflatable Wall Features for Airtightness Open
The thermoplastic polyurethane (TPU) material is an elastomer that can be used for inflatable products. Fused deposition modelling (FDM) is a widely used additive manufacturing process for TPU material due to the capability of generating c…
View article: Feedback Control for the Precise Shape Morphing of 4D-Printed Shape Memory Polymer
Feedback Control for the Precise Shape Morphing of 4D-Printed Shape Memory Polymer Open
Four-dimensional printing (4DP) is a newly emerged technology that uses smart materials for additive manufacturing and thus enables shape and/or property change upon stimulus after the printing process. Present study on 4DP has been focuse…
View article: The unique molecular mechanism of diabetic nephropathy: a bioinformatics analysis of over 250 microarray datasets
The unique molecular mechanism of diabetic nephropathy: a bioinformatics analysis of over 250 microarray datasets Open
Background/Aims Diabetic nephropathy (DN) is one of the main causes of end-stage kidney disease worldwide. Emerging studies have suggested that its pathogenesis is distinct from nondiabetic renal diseases in many aspects. However, it still…
View article: Network intrusion detection using generative adversarial networks.
Network intrusion detection using generative adversarial networks. Open
Intrusion detection systems (IDS), as one of important security solutions, are used to detect network attacks. With the extensive applications of traditional machine learning algorithms in the security field, intrusion detection methods ba…