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Articles by Wei Lan
Statistics > Machine Learning
Graph neural networks (GNNs) rely critically on neighborhood aggregation, yet conventional mean aggregation may fail to capture class-relevant distributional information, particularly in heterophilic graphs. We propose ExpectileGCN, an adaptive graph aggregation framework that introduces a learnable expectile level to capture neighborhood information beyond the mean.
[2610.00933] Quantile Social Autoregressive Model
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ERFMTDA: Predicting tsRNA–disease associations using an enhanced rotative factorization machine
Citation: Lan W, Wang D, Chen W, Yan X, Chen Q, Pan S, et al. (2026) ERFMTDA: Predicting tsRNA–disease associations using an enhanced rotative factorization machine. PLoS Comput Biol 22(8): e1014594. https://doi.org/10.1371/journal.pcbi.1014594 Editor: Hailin Chen, East China JiaoTong University, CHINA Received: April 2, 2026; Accepted: July 17, 2026; Published: August 18, 2026 Copyright: © 2026 Lan et al.
The A-FABP Nexus in the Neurovascular Unit: Bridging Endothelial Barrier Breakdown and Microglial Lipotoxicity in Ischemic Stroke
Back to Journals » Journal of Inflammation Research » Volume 19 Authors Ma WY, Yao L, Lan W Received 29 June 2026 Accepted for publication 8 October 2026 Published 21 October 2026 Volume 2026:19 635848 DOI https://doi.org/10.2147/JIR.S635848 Checked for plagiarism Yes Review by Single anonymous peer review Peer reviewer comments 2 Editor who approved publication: Dr Adam Bachstetter Wen-yu Ma,1– 3,* Lan Yao,1– 3,* Wei Lan1– 3 1College of Traditional Chinese Medicine, Xinjiang...
Interfacial π–π Stacking Interaction Promotes H2‐Driven Enzymatic Asymmetric Reduction
Conflict of Interests The authors declare no conflict of interest. Data Availability Statement The data that support the findings of this study are available from the corresponding author upon reasonable request. Supporting Information Filename Description anie71214-sup-0001-SuppMat.docx28.6 MB Supporting Information References 1, , , , , , Chem. 2017, 2, 621–654. 2, , , , , , , , , Nat. Commun. 2023, 14, 1814, https://doi.org/10.1038/s41467-023-37257-7. 3, , Nat.
Pore Engineering in Triptycene-Based Copper Metal–Organic Frameworks for High-Efficiency Photocatalytic Hydroboration
Energy, Environmental, and Catalysis ApplicationsOctober 15, 2025 Jun-Kai Wang State Key Laboratory of Chemistry and Utilization of Carbon Based Energy Resources, College of Chemistry, Xinjiang University, Urumqi 830017, Xinjiang, P. R.
Multicolor fluorescent sensors based on a mixture of CdTe quantum dots and ionic liquid for the visual detection of sulfur dioxide residues in food
DATA AVAILABILITY STATEMENT The data that support the findings of this study are available from the corresponding author upon reasonable request.
Association between De-Ritis ratio (AST/ALT) and mortality in patients with chronic kidney disease: a retrospective cohort study - Scientific Reports
Abstract The De-Ritis ratio, also known as the aspartate aminotransferase-to-alanine aminotransferase ratio (AST/ALT ratio), has been associated with poor outcomes in critically ill patients. However, data on chronic kidney disease (CKD) patients are lacking. Herein, we aimed to assess the association between De-Ritis ratio and mortality among American CKD patients.
Efficient Photocatalytic Synthesis of Hydrogen Peroxide Facilitated by Triptycene‐Based 3D Covalent Organic Frameworks
Conflict of Interest The authors declare no conflict of interest. Supporting Information Filename Description smll202501327-sup-0001-SuppMat.docx8.9 MB Supporting Information smll202501327-sup-0002-TableS1.xlsx258.2 KB Supplemental Table 1 References 1, , , , , , , , Energy Environ. Sci. 2020, 13, 4189. 2, , , , , , , Science 2009, 323, 1037. 3, , , , , , J. Am. Chem. Soc. 2021, 143, 19287. 4, , , Angew. Chem., Int. Ed. 2020, 59, 17356. 5, , , , , , , , , , , , , , , , , Angew. Chem., Int. Ed. 2020, 59, 487.
Effects of Dietary Supplementation of Omega-3 PUFA Enriched Fish Oil During Late-Pregnancy and Lactation on Reproductive Performance, Immune Activity and Fecal Microbiota Composition in Postpartum Sows
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Research on the Mechanical Properties of Composite Grouting Materials Based on Ordinary Portland-Sulphoaluminate Cement
1. Introduction In soft soil strata, particularly in geological environments abundant in moisture, the low bearing capacity and inadequate stability of foundations have emerged as pivotal factors constraining the stability of building infrastructures. These infrastructures are highly susceptible to adverse phenomena, such as settlement and deformation, posing formidable challenges to engineering construction.
Comparison of Flavor Differences between the Juices and Wines of Four Strawberry Cultivars Using Two-Dimensional Gas Chromatography-Time-of-Flight Mass Spectrometry and Sensory Evaluation
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Effects of Cultivar Factors on Fermentation Characteristics and Volatile Organic Components of Strawberry Wine
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Blueberry (Vaccinium spp.) Anthocyanins and Their Functions, Stability, Bioavailability, and Applications
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Fungal biomineralization of toxic metals accelerates organic pollutant removal
Fungal biomineralization. Curr. Biol. 2021; 31: R1557-R1563https://doi.org/10.1016/j.cub.2021.10.041 Fungal bioremediation of soil co-contaminated with petroleum hydrocarbons and toxic metals. Appl. Microbiol. Biotechnol. 2020; 104: 8999-9008https://doi.org/10.1007/s00253-020-10854-y Ma L. Chen Q. Zhu J. Xi Y. He H. Zhu R. Tao Q. Ayoko G.A. Adsorption of phenol and Cu(II) onto cationic and zwitterionic surfactant modified montmorillonite in single and binary systems. Chem. Eng. J.
Comparison of the Correlations of Microbial Community and Volatile Compounds between Pit-Mud and Fermented Grains of Compound-Flavor Baijiu
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
iLncDA-RSN: identification of lncRNA-disease associations based on reliable similarity networks
Yahan Li† Mingrui Zhang† Junliang Shang* Feng Li Qianqian Ren Jin-Xing Liu School of Computer Science, Qufu Normal University, Rizhao, China Identification of disease-associated long non-coding RNAs (lncRNAs) is crucial for unveiling the underlying genetic mechanisms of complex diseases. Multiple types of similarity networks of lncRNAs (or diseases) can complementary and comprehensively characterize their similarities.
Dans l’hémisphère nord, une canicule record
Les températures mondiales s’envolent, mais en France, le ministre de l’agriculture Marc Fesneau regarde le doigt, plutôt que la lune. Il s’est félicité, samedi 15 juillet, sur France Inter : « On n’a pas eu des températures extrêmes, on a plutôt eu des températures normales, pour un été.
DEJKMDR: miRNA-disease association prediction method based on graph convolutional network
Shiyuan Gao1 Zhufang Kuang1* Tao Duan1 Lei Deng2 1School of Computer and Information Engineering, Central South University of Forestry and Technology, Changsha, China 2School of Computer Science and Engineering, Central South University, Changsha, China Numerous studies have shown that miRNAs play a crucial role in the investigation of complex human diseases. Identifying the connection between miRNAs and diseases is crucial for advancing the treatment of complex diseases.
TLSEA: a tool for lncRNA set enrichment analysis based on multi-source heterogeneous information fusion
1 Introduction The central principle of molecular biology has proposed that RNA is an intermediary between protein-coding genes and proteins. However, genes encoding proteins only account for 1.5% of the human genome, and more than 98% of the human genome does not encode proteins. Most of these non-protein-coding genes were transcribed into non-coding RNAs (ncRNAs) (Guttman et al., 2009; Xue et al., 2017; DiStefano, 2018).
In situ titanium phosphate formation on titanium implant as an ultrahigh linking with nano-hydroxyapatite coating for rapid osseointegration
In situ titanium phosphate formation on titanium implant as an ultrahigh linking with nano-hydroxyapatite coating for rapid osseointegration Ziming Liao, Luyao Zhang, Wei Wei Lan, Jingjing Du, Yinchun Hu, Yan Wei, Ruiqiang Hang, Weiyi Chen and Di Huang Abstract Titanium (Ti) has been widely used as dental implant material due to its excellent mechanical properties and good biocompatibility. However, the poor biological activity severely limits its ability to bond with bony tissues.
Changes in physiological profiles and co-occurrence patterns of soil microbial community following exposure to nanoceria and ionic cerium
Changes in physiological profiles and co-occurrence patterns of soil microbial community following exposure to nanoceria and ionic cerium Jie Hong, Siying Jia, Wei Lan, Minhua Wu, Feng Chen, Feng He, Olamide R Ogundele and Cyren M Rico Abstract Soil microbial toxicity is an important topic for understanding the environmental risk of cerium oxide nanoparticles (nanoceria).
Identifying disease-associated circRNAs based on edge-weighted graph attention and heterogeneous graph neural network
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Value Iteration Networks with Double Estimator for Planetary Rover Path Planning
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linking academia, business and industry through research
Home Full-text access for editors Predicting protein functions by using non-negative matrix factorisation with multi-networks co-regularisation by Wei Peng; Jielin Du; Lun Li; Wei Dai; Wei Lan International Journal of Data Mining and Bioinformatics (IJDMB), Vol. 23, No. 4, 2020 Abstract: It is a hot research field to design an effective method for protein function prediction by integrating heterogeneous biological data.
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