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162 results on '"Wang, Qiquan"'

1. A Topological Gaussian Mixture Model for Bone Marrow Morphology in Leukaemia

Author

Wang, Qiquan, Song, Anna, Batsivari, Antoniana, Bonnet, Dominique, and Monod, Anthea

Subjects
Statistics - Applications, Mathematics - Algebraic Topology
Abstract

Acute myeloid leukaemia (AML) is a type of blood and bone marrow cancer characterized by the proliferation of abnormal clonal haematopoietic cells in the bone marrow leading to bone marrow failure. Over the course of the disease, angiogenic factors released by leukaemic cells drastically alter the bone marrow vascular niches resulting in observable structural abnormalities. We use a technique from topological data analysis - persistent homology - to quantify the images and infer on the disease through the imaged morphological features. We find that persistent homology uncovers succinct dissimilarities between the control, early, and late stages of AML development. We then integrate persistent homology into stage-dependent Gaussian mixture models for the first time, proposing a new class of models which are applicable to persistent homology summaries and able to both infer patterns in morphological changes between different stages of progression as well as provide a basis for prediction.

Published
2024

2. On the Limitations of Fractal Dimension as a Measure of Generalization

Author

Tan, Charlie B., García-Redondo, Inés, Wang, Qiquan, Bronstein, Michael M., and Monod, Anthea

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Mathematics - Dynamical Systems, Statistics - Machine Learning
Abstract

Bounding and predicting the generalization gap of overparameterized neural networks remains a central open problem in theoretical machine learning. There is a recent and growing body of literature that proposes the framework of fractals to model optimization trajectories of neural networks, motivating generalization bounds and measures based on the fractal dimension of the trajectory. Notably, the persistent homology dimension has been proposed to correlate with the generalization gap. This paper performs an empirical evaluation of these persistent homology-based generalization measures, with an in-depth statistical analysis. Our study reveals confounding effects in the observed correlation between generalization and topological measures due to the variation of hyperparameters. We also observe that fractal dimension fails to predict generalization of models trained from poor initializations. We lastly reveal the intriguing manifestation of model-wise double descent in these topological generalization measures. Our work forms a basis for a deeper investigation of the causal relationships between fractal geometry, topological data analysis, and neural network optimization.

Published
2024

3. Stability for Inference with Persistent Homology Rank Functions

Author

Wang, Qiquan, García-Redondo, Inés, Faugère, Pierre, Henselman-Petrusek, Gregory, and Monod, Anthea

Subjects
Mathematics - Algebraic Topology, Statistics - Machine Learning
Abstract

Persistent homology barcodes and diagrams are a cornerstone of topological data analysis that capture the "shape" of a wide range of complex data structures, such as point clouds, networks, and functions. However, their use in statistical settings is challenging due to their complex geometric structure. In this paper, we revisit the persistent homology rank function, which is mathematically equivalent to a barcode and persistence diagram, as a tool for statistics and machine learning. Rank functions, being functions, enable the direct application of the statistical theory of functional data analysis (FDA)-a domain of statistics adapted for data in the form of functions. A key challenge they present over barcodes in practice, however, is their lack of stability-a property that is crucial to validate their use as a faithful representation of the data and therefore a viable summary statistic. In this paper, we fill this gap by deriving two stability results for persistent homology rank functions under a suitable metric for FDA integration. We then study the performance of rank functions in functional inferential statistics and machine learning on real data applications, in both single and multiparameter persistent homology. We find that the use of persistent homology captured by rank functions offers a clear improvement over existing non-persistence-based approaches.

Published
2023
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4. Comprehensive Evaluation on the Electric Bike Fire and Countermeasures

Author

Wang, Qiquan, Feng, Weixiang, Yang, Zimo, Li, Xiangyao, Yao, Zhiwei, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Long, Shengzhao, editor, Dhillon, Balbir S., editor, and Ye, Long, editor

Published
2024
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5. Fire Hazard Analysis of Lithium Battery Road Transport Based on Triangular Fuzzy Number

Author

Wang, Qiquan, Wang, Yunfeng, Ma, Xiaoting, Han, Ningwei, Zhang, Shuai, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Long, Shengzhao, editor, Dhillon, Balbir S., editor, and Ye, Long, editor

Published
2024
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6. Risk Analysis and Countermeasures of Civil Aviation Passenger Unsafe Behavior

Author

Lan, Jun, Wang, Qiquan, Fan, Haiqing, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Long, Shengzhao, editor, Dhillon, Balbir S., editor, and Ye, Long, editor

Published
2024
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9. Fire Risk Assessment and Application in Business Circle Based on ISM-BN Model

Author

Wang, Qiquan, Bao, Ziqi, Cui, Yuze, Wu, Hao, Yu, Hongwen, Wen, Chen, Xu, Fan, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Long, Shengzhao, editor, and Dhillon, Balbir S., editor

Published
2022
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10. Inhibition of MAT2A Impairs Skeletal Muscle Repair Function.

Author

Xiao, Wanli, Huang, Tian-E, Zhou, Jing, Wang, Benhui, Wang, Xiang, Zeng, Weirong, Wang, Qiquan, Lan, Xinqiang, and Xiang, Yang

Subjects
CELL receptors, GENE expression, FAS proteins, SKELETAL muscle, MUSCULAR atrophy
Abstract

The regenerative capacity of muscle, which primarily relies on anabolic processes, diminishes with age, thereby reducing the effectiveness of therapeutic interventions aimed at treating age-related muscle atrophy. In this study, we observed a decline in the expression of methionine adenosine transferase 2A (MAT2A), which synthesizes S-adenosylmethionine (SAM), in the muscle tissues of both aged humans and mice. Considering MAT2A's critical role in anabolism, we hypothesized that its reduced expression contributes to the impaired regenerative capacity of aging skeletal muscle. Mimicking this age-related reduction in the MAT2A level, either by reducing gene expression or inhibiting enzymatic activity, led to inhibiting their differentiation into myotubes. In vivo, inhibiting MAT2A activity aggravated BaCl2-induced skeletal muscle damage and decreased the number of satellite cells, whereas supplementation with SAM improved these effects. RNA-sequencing analysis further revealed that the Fas cell surface death receptor (Fas) gene was upregulated in Mat2a-knockdown C2C12 cells. Suppressing MAT2A expression or activity elevated Fas protein levels and increased the proportion of apoptotic cells. Additionally, inhibition of MAT2A expression or activity increased p53 expression. In conclusion, our findings demonstrated that impaired MAT2A expression or activity compromised the regeneration and repair capabilities of skeletal muscle, partially through p53–Fas-mediated apoptosis. [ABSTRACT FROM AUTHOR]

Published
2024
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13. Evaluation and Analysis of Intelligent Early Warning System in Crowded Places

Author

Wang, Qiquan, Liu, Meiming, Xu, Haibo, Meng, Yanhua, Chen, Ping, Zhu, Yu, Sun, Xi, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Long, Shengzhao, editor, and Dhillon, Balbir S., editor

Published
2020
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14. Fuel Gas Enterprise Accident Risk Assessment Based on BP Neural Network

Author

Wang, Qiquan, Cheng, Cheng, Zhang, Chao, Zhang, Jiahe, Ning, Kaiyuan, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martin, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Long, Shengzhao, editor, and Dhillon, Balbir S., editor

Published
2020
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16. On the Limitations of Fractal Dimension as a Measure of Generalization

Author

Tan, Charlie, García-Redondo, Inés, Wang, Qiquan, Bronstein, Michael M., Monod, Anthea, Tan, Charlie, García-Redondo, Inés, Wang, Qiquan, Bronstein, Michael M., and Monod, Anthea

Abstract

Bounding and predicting the generalization gap of overparameterized neural networks remains a central open problem in theoretical machine learning. Neural network optimization trajectories have been proposed to possess fractal structure, leading to bounds and generalization measures based on notions of fractal dimension on these trajectories. Prominently, both the Hausdorff dimension and the persistent homology dimension have been proposed to correlate with generalization gap, thus serving as a measure of generalization. This work performs an extended evaluation of these topological generalization measures. We demonstrate that fractal dimension fails to predict generalization of models trained from poor initializations. We further identify that the $\ell^2$ norm of the final parameter iterate, one of the simplest complexity measures in learning theory, correlates more strongly with the generalization gap than these notions of fractal dimension. Finally, our study reveals the intriguing manifestation of model-wise double descent in persistent homology-based generalization measures. This work lays the ground for a deeper investigation of the causal relationships between fractal geometry, topological data analysis, and neural network optimization., Comment: 17 pages, 6 figures

Published
2024

18. Stability for Inference with Persistent Homology Rank Functions.

Author

Wang, Qiquan, García‐Redondo, Inés, Faugère, Pierre, Henselman‐Petrusek, Gregory, and Monod, Anthea

Subjects
*ALGEBRAIC topology, *COMPUTATIONAL geometry, *INFERENTIAL statistics, *POINT cloud, *DATA structures
Abstract

Persistent homology barcodes and diagrams are a cornerstone of topological data analysis that capture the "shape" of a wide range of complex data structures, such as point clouds, networks, and functions. However, their use in statistical settings is challenging due to their complex geometric structure. In this paper, we revisit the persistent homology rank function, which is mathematically equivalent to a barcode and persistence diagram, as a tool for statistics and machine learning. Rank functions, being functions, enable the direct application of the statistical theory of functional data analysis (FDA)—a domain of statistics adapted for data in the form of functions. A key challenge they present over barcodes in practice, however, is their lack of stability—a property that is crucial to validate their use as a faithful representation of the data and therefore a viable summary statistic. In this paper, we fill this gap by deriving two stability results for persistent homology rank functions under a suitable metric for FDA integration. We then study the performance of rank functions in functional inferential statistics and machine learning on real data applications, in both single and multiparameter persistent homology. We find that the use of persistent homology captured by rank functions offers a clear improvement over existing non‐persistence‐based approaches. [ABSTRACT FROM AUTHOR]

Published
2024
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19. Histone β‐hydroxybutyrylation is critical in reversal of sarcopenia.

Author

Wang, Qiquan, Lan, Xinqiang, Ke, Hao, Xu, Siman, Huang, Chunping, Wang, Jiali, Wang, Xiang, Huang, Tiane, Wu, Xia, Chen, Mengxin, Guo, Yingqi, Zeng, Lin, Tian, Xiao‐Li, and Xiang, Yang

Subjects
*SARCOPENIA, *MUSCLE mass, *OXYGEN consumption, *LOW-calorie diet, *KETOGENIC diet, *CAENORHABDITIS elegans, *OXIDATIVE phosphorylation
Abstract

Sarcopenia, a leading cause for global disability and mortality, is an age‐related muscular disorder, characterized by accelerated muscle mass loss and functional decline. It is known that caloric restriction (CR), ketogenic diet or endurance exercise lessen sarcopenia and elevate circulating β‐hydroxybutyrate (β‐HB) levels. Whether the elevated β‐HB is essential to the reversal of sarcopenia, however, remains unclear. Here we show in both Caenorhabditis elegans and mouse models that an increase of β‐HB reverse myofiber atrophy and improves motor functions at advanced ages. β‐HB‐induced histone lysine β‐hydroxybutyrylation (Kbhb) is indispensable for the reversal of sarcopenia. Histone Kbhb enhances transcription of genes associated with mitochondrial pathways, including oxidative phosphorylation, ATP metabolic process and aerobic respiration. This ultimately leads to improve mitochondrial integrity and enhance mitochondrial respiration. The histone Kbhb are validated in mouse model with CR. Thus, we demonstrate that β‐HB induces histone Kbhb, increases mitochondrial function, and reverses sarcopenia. [ABSTRACT FROM AUTHOR]

Published
2024
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21. Analysis of the Risk Assessment of Subway Stampede

Author

Wang, Qiquan, Wu, Jiaxin, Li, Li, Shao, Jingjing, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Ruediger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Long, Shengzhao, editor, and Dhillon, Balbir S., editor

Published
2019
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30. Integrated Amino Acids and Transcriptome Analysis Reveals Arginine Transporter SLC7A2 Is a Novel Regulator of Myogenic Differentiation.

Author

Huang, Tiane, Zhou, Jing, Wang, Benhui, Wang, Xiang, Xiao, Wanli, Yang, Mengqi, Liu, Yan, Wang, Qiquan, Xiang, Yang, and Lan, Xinqiang

Subjects
AMINO acid analysis, HIGH performance liquid chromatography, GENE expression, SKELETAL muscle, AMINO acids
Abstract

Skeletal muscle differentiation is a precisely coordinated process. While many of the molecular details of myogenesis have been investigated extensively, the dynamic changes and functions of amino acids and related transporters remain unknown. In this study, we conducted a comprehensive analysis of amino acid levels during different time points of C2C12 myoblast differentiation using high-performance liquid chromatography (HPLC). Our findings revealed that the levels of most amino acids exhibited an initial increase at the onset of differentiation, reaching their peak typically on the fourth or sixth day, followed by a decline on the eighth day. Particularly, arginine and branched-chain amino acids showed a prominent increase during this period. Furthermore, we used RNA-seq analysis to show that the gene encoding the arginine transporter, Slc7a2, is significantly upregulated during differentiation. Knockdown of Slc7a2 gene expression resulted in a significant decrease in myoblast proliferation and led to a reduction in the expression levels of crucial myogenic regulatory factors, hindering the process of myoblast differentiation, fusion, and subsequent myotube formation. Lastly, we assessed the expression level of Slc7a2 during aging in humans and mice and found an upregulation of Slc7a2 expression during the aging process. These findings collectively suggest that the arginine transporter SLC7A2 plays a critical role in facilitating skeletal muscle differentiation and may hold potential as a therapeutic target for sarcopenia. [ABSTRACT FROM AUTHOR]

Published
2024
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35. A New Method Based on Ant Colony Optimization for the Probability Hypothesis Density Filter

Author

Zhu, Jihong, Xu, Benlian, Wang, Fei, Wang, Qiquan, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Tan, Ying, editor, Shi, Yuhui, editor, Chai, Yi, editor, and Wang, Guoyin, editor

Published
2011
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38. Inter-Institutional Partnerships Propel a Successful Collaborative Undergraduate Degree Program in Chemistry

Author

D'Souza, Malcolm J. and Wang, Qiquan

Abstract

Small private liberal arts colleges are increasingly tuition-dependent and mainly attract students by creating student-centered learning communities. On the other hand, larger universities tend to be trendsetters where its faculty tend to seek intellectual independence and are involved in career focused cutting-edge research. The Institutional Development Awards (IDeA) and Experimental Program to Stimulate Competitive Research (EPSCoR) are federal-state-university partnerships that builds basic research infrastructure and coax the state-wide higher education institutions to collaborate with each other in order to enhance their competitiveness. As a result in Delaware, Wesley College instituted curricular and operational changes to launch an undergraduate program in biological chemistry where its students take three upper division chemistry courses and can choose to participate in annual summer undergraduate internships at nearby Delaware State University. (Contains 2 tables.)

Published
2012

43. 椭圆芯有源光纤中模式的增益特性

Author

王齐全 Wang Qiquan, 武保剑 Wu Baojian, and 江歆睿 Jiang Xinrui

Subjects
Atomic and Molecular Physics, and Optics, Electronic, Optical and Magnetic Materials
Published
2022

46. A cellular endolysosome-modulating pore-forming protein from a toad is negatively regulated by its paralog under oxidizing conditions

Author

Wang, Qiquan, primary, Bian, Xianling, additional, Zeng, Lin, additional, Pan, Fei, additional, Liu, Lingzhen, additional, Liang, Jinyang, additional, Wang, Lingyan, additional, Zhou, Kaifeng, additional, Lee, Wenhui, additional, Xiang, Yang, additional, Li, Sheng'an, additional, Teng, Maikun, additional, Li, Xu, additional, Guo, Xiaolong, additional, and Zhang, Yun, additional

Published
2020
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47. Oxidative degradation of the antineoplastic drugs 5-fluorouracil and cytarabine in aqueous solution by potassium permanganate

Author

Hu Zhenhu, Wang QiQuan, Feng Jingwei, Wang Wei, Cheng PingPing, Yuan Shoujun, and Sun FangYuan

Subjects
Aqueous solution, Oxidative degradation, Chemistry, Potassium, chemistry.chemical_element, medicine.disease_cause, Potassium permanganate, chemistry.chemical_compound, Fluorouracil, Antineoplastic Drugs, medicine, Cytarabine, Organic chemistry, Genotoxicity, medicine.drug, Nuclear chemistry
Published
2017

48. Application of Analytic Hierarchy Process in Classification Assessment of Professional Labor Education Curriculums

Author

Zhang Renfu, Meng Yanhua, and Wang Qiquan

Subjects
Technical support, Class (computer programming), Medical education, media_common.quotation_subject, Vocational education, Beauty, Analytic hierarchy process, General Medicine, Sociology, Morality, Curriculum, Physical education, media_common
Abstract

At present, China is attaching importance to the issue of labor education for students, upgrading the traditional "four education" to "five education", that is, adding labor education on the basis of morality, intelligence, physical education and beauty. The relevant colleges and universities in China are exploring how to carry out the teaching of vocational labor education. As a relevant university in the labor field, the school where the author works is also actively exploring various issues concerning professional labor education, including exploring the curriculum setting of professional labor education, the proportion of class hours of relevant courses, the content of relevant courses, and how to carry out professional intercommunication teaching with relevant majors. This paper systematically divides the professional labor education curriculums obtained from the conference and discussion held by the relevant professors in the author's school, it means that the professional labor education curriculums are graded. Then by adopting the combination of qualitative and quantitative analytic hierarchy process (AHP) combined with multiple expert assessment of classifying labor education curriculum evaluation and determine the weight of each course in the professional labor education courses. So as to determine the importance of professional labor education courses for professional labor education teaching, to provide theoretical support for the development of professional labor education courses in the country. At the same time, it also provides technical support for introducing professional labor education into safety engineering teaching. Through the research of this paper, it is found that the application course of professional labor education is the most important part of professional labor education curriculum, and the setting of such courses should be strengthened. Simultaneously, the thoughts of labor and thought, labor and law, labor and safety, labor and economy in professional labor education courses can be introduced into the teaching of safety engineering courses.

Published
2021

50. Application Analysis of Blockchain Technology in the Field of Emergency Management

Author

Shao Wenpeng and Wang Qiquan

Subjects
Information management, Blockchain, Emergency management, Risk analysis (engineering), business.industry, Process (engineering), Emerging technologies, Computer science, Big data, General Medicine, business, Field (computer science), Block (data storage)
Abstract

Aiming at the current situation of emergency management in China, this paper discusses the research status of emergency management construction in China, the main problems existing, and the basis for establishing an emergency management system. Briefly introduce the concept and technical characteristics of the blockchain, propose the irreversible, distributed, and difficult to tamper characteristics of the block-chain technology, and apply the advantages that can be brought about in emergency management. The management of equipment and facilities in the enterprise emergency management system is the starting point, the establishment of special equipment to run life-cycle block chain technology with the entire process is analyzed, and then the system is associated with big data, to make it more intelligent and reasonable. In the end, it is concluded that the application of blockchain technology to the entire life cycle of management equipment and facilities can achieve excellent results. Based on the combination of blockchain technology and big data, it can be applied to all stages of emergency management to achieve security. Information management is the inevitable trend of future emergency management. Although the construction of the emergency management system is a complex project, the construction is difficult, the cycle is long, and many issues are involved, but with the emergence of new technologies, the emergency management system is bound to be constantly improved and taken to a whole new level.

Published
2020

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