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Mingqi Lv

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4 papers

1 author row

EAAI Journal 2026 Journal Article

Aircraft geomagnetic navigation via dual-view feature extraction and hybrid multi-criteria adaptive weighting

Yifan Li
Zihao Chen
Mingqi Lv
Tieming Chen
Baiyang Ji

Geomagnetic navigation is a passive technique that leverages the spatial distribution of the Earth’s magnetic field to mitigate the susceptibility of Global Navigation Satellite Systems (GNSS) to external interference and reduce cumulative errors in inertial navigation systems, thereby ensuring robust stability. However, its relatively low accuracy has historically limited practical deployment. To address this challenge, this paper proposes an aircraft geomagnetic navigation method via dual-view feature extraction and hybrid multi-criteria adaptive weighting (DHAGN). DHAGN extracts features from two distinct views, adaptively adjusts feature weights using both standard-deviation-based and summation-based criteria, and integrates an loss-feedback mechanism within the summation-based weighting to further enhance navigation accuracy. Experiments on 13 flight routes from the SGL2020 dataset demonstrate that DHAGN achieves an average distance-root-mean-square (DRMS) error reduction of 45. 5 meters compared to the state-of-the-art Magnav2C method, validating its effectiveness in enhancing geomagnetic navigation accuracy and facilitating practical implementation.

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YNIMG Journal 2024 Journal Article

Biological mechanism of sex differences in mental rotation: Evidence from multimodal MRI, transcriptomic and receptor/transporter data

Haixia Long
Hao Wu
Chaoliang Sun
Xinli Xu
Xu-Hua Yang
Jie Xiao
Mingqi Lv
Qiuju Chen

Sex differences in mental rotation are a well-documented phenomenon in cognitive research, with implications for the differing prevalence of neuropsychiatric disorders such as autism spectrum disorder (ASD), Alzheimer's disease (AD) and major depressive disorder (MDD) between the sexes. Despite extensive documentation, the biological mechanism underpinning these differences remain elusive. This study aimed to elucidate neural, genetic, and molecular bases of these disparities in mental rotation by integrating data from multimodal magnetic resonance imaging (MRI), transcriptomic and receptor/transporter. We first calculated the dynamic regional homogeneity (dReHo), gray matter volume (GMV) and fractional anisotropy (FA) in voxel-wise manner and parceled them into 246 brain regions based on Brainnetome Atlas. Subsequent analyses involved Pearson Correlations to examine the association between mental rotation performance and dReHo/GMV/FA and two-sample t-tests to delineate gender differences in these indices. Based on the above results, further mediation analysis was conducted to explore the relationship between sex, brain biomarkers and mental rotation. In addition, transcriptome-neuroimaging association analysis and correlation analysis between brain biomarkers and neurotransmitter receptor/transporter distribution were also performed to uncover genetic and molecular mechanisms contributing to the observed sex differences in mental rotation. We found correlations between mental rotation performance and dReHo, GMV and FA of the inferior parietal lobule (IPL) and superior temporal gyrus (STG) and sex effects on these brain biomarkers. Notably, the dReHo of the left IPL mediated the relationship between sex and mental rotation. Further correlation analysis revealed that the proton-coupled oligopeptide transporter PEPT2 (SLC15A2) and interleukin 17 receptor D (IL17RD) were associated with sex-related t-statistic maps and mental rotation-related r-statistic maps of dReHo. Moreover, γ-aminobutyric acid subtype A (GABAA) receptor availability was correlated with the r-statistic of dReHo, while norepinephrine transporter (NET) availability was correlated with its t-statistic. Serial mediation models revealed the indirect effect of these genes on the r-statistic maps through the transporter/receptor and t-statistic maps. Our findings provide novel insights into the biological mechanism underlying sex differences in mental rotation, identifying potential biomarkers for cognitive impairment and explaining variations in prevalence of certain mental disorders between the sexes. These results highlight the necessity of considering sex in research on mental health disorders.

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YNIMG Journal 2024 Journal Article

Elucidating genetic and molecular basis of altered higher-order brain structure-function coupling in major depressive disorder

Haixia Long
Zihao Chen
Xinli Xu
Qianwei Zhou
Zhaolin Fang
Mingqi Lv
Xu-Hua Yang
Jie Xiao

Previous studies have shown that major depressive disorder (MDD) patients exhibit structural and functional impairments, but few studies have investigated changes in higher-order coupling between structure and function. Here, we systematically investigated the effect of MDD on higher-order coupling between structural connectivity (SC) and functional connectivity (FC). Each brain region was mapped into embedding vector by the node2vec algorithm. We used support vector machine (SVM) with the brain region embedding vector to distinguish MDD patients from health controls (HCs) and identify the most discriminative brain regions. Our study revealed that MDD patients had decreased higher-order coupling in connections between the most discriminative brain regions and local connections in rich-club organization and increased higher-order coupling in connections between the ventral attentional network and limbic network compared with HCs. Interestingly, transcriptome-neuroimaging association analysis demonstrated the correlations between regional rSC-FC coupling variations between MDD patients and HCs and α/β-hydrolase domain-containing 6 (ABHD6), β 1,3-N-acetylglucosaminyltransferase-9(β3GNT9), transmembrane protein 45B (TMEM45B), the correlation between regional dSC-FC coupling variations and retinoic acid early transcript 1E antisense RNA 1(RAET1E-AS1), and the correlations between regional iSC-FC coupling variations and ABHD6, β3GNT9, katanin-like 2 protein (KATNAL2). In addition, correlation analysis with neurotransmitter receptor/transporter maps found that the rSC-FC and iSC-FC coupling variations were both correlated with neuroendocrine transporter (NET) expression, and the dSC-FC coupling variations were correlated with metabotropic glutamate receptor 5 (mGluR5). Further mediation analysis explored the relationship between genes, neurotransmitter receptor/transporter and MDD related higher-order coupling variations. These findings indicate that specific genetic and molecular factors underpin the observed disparities in higher-order SC-FC coupling between MDD patients and HCs. Our study confirmed that higher-order coupling between SC and FC plays an important role in diagnosing MDD. The identification of new biological evidence for MDD etiology holds promise for the development of innovative antidepressant therapies.

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EAAI Journal 2019 Journal Article

Workflow difference detection based on basis paths

Bin Cao
Feng Hong
Jiaxing Wang
Jing Fan
Mingqi Lv

Detecting workflow difference is meaningful for many applications, e. g. , in-vehicle system testing. However, current workflow difference detection methods stress on structural differences while ignoring the behavioral aspects of the workflow models. Due to the large number of possible behaviors for a workflow model, it is challenging to detect the behavioral difference. To address this problem, this paper introduces the idea of basis path testing from the software testing field, and presents an efficient method for detecting the workflow difference in terms of their behaviors. First, we compute the cyclomatic complexity according to the number of nodes and arcs in the workflow model. Then, based on the cyclomatic complexity we design an algorithm that can retrieve the basis paths from a tree structure converted from the workflow model. At last, the Kuhn–Munkres (KM) algorithm is used to map the independent paths from two workflow models and generate the optimal mapping that the overall distance is the minimum. The experimental evaluation shows that our proposed method has been proved feasible in terms of both efficiency and effectiveness.

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