Liu Mi

First Affiliated Hospital of Soochow University

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i-10 index

Research Trends

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Document Type

Co-Authors

Lizong Deng

Chinese Academy of Medical Sciences & Peking Union Medical College

Taijiao Jiang

State Key Laboratory of Respiratory Disease

Luming Chen

Guangzhou Medical University

Tao Yang

Guangzhou Medical University

Yousong Peng

Hunan University

Taijiao Jiang

Guangzhou Experimental Station

Shicheng Li

Yangzhou University

Xiaoqiang Zhang

Second Affiliated Hospital of Nanchang University

Xiao Ding

Weifang Medical University

Dayan Wang

National Institute for Viral Disease Control and Prevention

Cooperative Institutions

Chinese Academy of Medical Sciences & Peking Union Medical College

Army Medical University

Daping Hospital

Suzhou Institute of Systems Medicine

Soochow University

Chinese Academy of Sciences

Peking Union Medical College Hospital

Sun Yat-sen University

Army Medical College

First Affiliated Hospital of Soochow University

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Research Field

Research on the Face Image Detection in Coal Mine Environment

DEStech Transactions on Computer Science and Engineering (2017)

Xiucai Guo Liu Mi

In recent years, face recognition system used in the coal mine workersâ€™ identity becomes a hot spot. face detection is the key to face recognition, but at the special coal mine working environment, the monitoring image contrast is low, the light intensity of illumination is weak. The minersâ€™ face image detection becomes difficult. In order to solve this problem, The light density strengthen based on homomorphic filtering, the image noise removal based on wavelet transform was put forward. Canny edge detection method combining the extraction of face and mine cap contour method was used to detect human face area. The experiment shows that this method is well implemented in face detection and is helpful for further identification.

Canny edge detector

Object-class detection

10.12783/dtcse/iceiti2016/6161

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Citations (0)

Multiple-image encryption algorithm based on Sarrus rule and 3D Fibonacci matrix

Physica Scripta (2023)

Xiaoqiang Zhang Liu Mi Jingxi Tian

Abstract Using images to transmit information becomes more common in the new era, but the image information can easily be stolen and tampered with the malicious damage during transmission. In this paper, firstly, inspired by the famous Sarrus rule the theory of linear algebra theory, the Sarrus model is established to scramble images; secondly, the pixel positions of plain images are scrambled with the established Sarrus model to obtain the stereo scrambled matrix; thirdly, two-dimensional Fibonacci matrix is extended to three-dimensional (3D) space; finally, the image matrix is divided into cubes which are diffused by the 3D Fibonacci matrix. Experimental analyses indicate that the new algorithm has the characteristics of large key space, high key sensitivity, high efficiency and can resist to the plaintext attacks, statistical attacks, etc.

Plain text

Matrix (chemical analysis)

Key space

10.1088/1402-4896/acc905

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Citations (11)

Medical Ontology can significantly enhance the performance of mainstream text embedding models in retrieving medical information: Exploration research (Preprint)

Lizong Deng Luming Chen Liu Mi Xuan Wang Yifan Qi

BACKGROUND In recent years, text embedding models and their associated vector search techniques have seen significant advancements. These technologies have become crucial for deploying large language models in specialized fields like medicine. However, the inherent complexity of domain-specific knowledge still poses challenges for mainstream text embedding models. These models often struggle to accurately interpret and represent specialized terminology. The medical field, with its extensive and diverse terminology, highlights a gap in systematically evaluating how this terminological diversity affects the precision of vector-based information retrieval for text embedding models. OBJECTIVE This study seeks to evaluate how the diversity of medical terminology affects vector-based information retrieval for text embedding models. Additionally, it aims to identify and propose potential strategies to mitigate these effects. METHODS We initially developed a medical knowledge base comprising 9715 sentences, utilizing phenotypic terms and their definitions from the Human Phenotype Ontology. This knowledge base was then vectorized using 19 representative text embedding models and stored in a vector database separately. Following this, we conducted a series of information retrieval experiments to assess the efficacy of vector-based retrieval with both preferred and non-preferred phenotypic terms across the different text embedding models. This approach allowed us to thoroughly analyze how the diversity of medical terminology affects retrieval accuracy. RESULTS Our findings reveal that the diversity of medical terminology substantially affects the vector-based information retrieval accuracy of text embedding models for medical texts. Besides, it is found that the greater the literal or semantic differences between preferred and non-preferred terms for a given medical concept, the more significant the impact on vector-based information retrieval accuracy. Furthermore, current text embedding models demonstrate markedly weaker performance in retrieving cross-lingual medical texts compared to texts within the same language. Utilizing medical ontologies to standardize concepts in medical texts can significantly improve the vector-based information retrieval accuracy of these models. CONCLUSIONS The diversity of medical terminology has a profound impact on the vector-based information retrieval accuracy of text embedding models for medical texts. Employing medical ontologies to standardize the concepts within these texts represents a highly effective strategy for enhancing the retrieval accuracy of existing text embedding models.

Preprint

Mainstream

Medical information

10.2196/preprints.65634

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A Study on French teacher mobility system

Comparative Education Review (2012)

Liu Mi

Reasonable teacher mobility system is conducive to balance the allocation of teaching resource and effectively mobilize the enthusiasm of teachers,and thus promote the realization of social equity.This paper approaches the primary and secondary teachers mobility system by analyzing and introducing the law,system rules,system development history,status and issues,with an expectation to provide reference to balanced development of education in China.

Equity

Realization (probability)

Social Mobility

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Color Image Encryption Algorithm Based on Cross-Spiral Transformation and Zone Diffusion

Mathematics (2023)

Xiaoqiang Zhang Liu Mi Xiaochang Yang

Due to their rich information, color images are frequently utilized in many different industries, but the network’s security in handling their delivery of images must be taken into account. To improve the security and efficiency of color images, this paper proposed a color image encryption algorithm based on cross-spiral transformation and zone diffusion. The proposed algorithm is based on Chen’s system and the piecewise linear chaotic map, and uses the chaotic sequences generated by them for related operations. Firstly, the R, G and B planes are extracted, and the spiral starting point of each plane is randomly selected by the chaotic sequence to implement the cross-spiral transformation. Secondly, the bit-level image matrix is constructed by the scrambled image matrix, and the bit-level chaotic matrix is constructed by the chaotic sequence. Finally, the three-dimensional matrix is divided into four zones by a dividing line, and partition diffusion is carried out to obtain the encrypted image. Simulation results and algorithm analyses indicate that the proposed algorithm has superior performance and can resist a wide range of attacks.

Transformation matrix

Matrix (chemical analysis)

Sequence (biology)

10.3390/math11143228

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Citations (6)

PREDAV-H1: a user-friendly web server for predicting antigenic variants of influenza H1N1 viruses

Science China Life Sciences (2018)

Congyu Lu Liu Mi Aiping Wu Yuelong Shu Yousong Peng

H1N1 influenza

Antigenic shift

User Friendly

10.1007/s11427-018-9375-4

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Citations (2)

Cluster-Transition Determining Sites Underlying the Antigenic Evolution of Seasonal Influenza Viruses

Molecular Biology and Evolution (2019)

Lijun Quan Chengyang Ji Xiao Ding Yousong Peng Liu Mi

Seasonal influenza viruses undergo frequent mutations on their surface hemagglutinin (HA) proteins to escape the host immune response. In these mutations, a few key amino acid sites are associated with significant antigenic cluster transitions. To recognize the cluster-transition determining sites of seasonal influenza A/H3N2 and A/H1N1 viruses systematically and quickly, we developed a computational model named RECDS (recognition of cluster-transition determining sites) to evaluate the contribution of a specific amino acid site on the HA protein in the whole history of antigenic evolution. In RECDS, we ranked all of the HA sites by calculating the contribution scores derived from the forest of gradient boosting classifiers trained by various sequence- and structure-based features. With the RECDS model, we found out that the sites determining influenza antigenicity were mostly around the receptor-binding domain both for the influenza A/H3N2 and A/H1N1 viruses. Specifically, half of the cluster-transition determining sites of the influenza A/H1N1 virus were located in the vestigial esterase domain and basic path area on the HA, which indicated that the differential driving force of the antigenic evolution of the A/H1N1 virus refers to the A/H3N2 virus. Beyond that, the footprints of substitutions responsible for antigenic evolution were inferred according to the phylogenetic trees for the cluster-transition determining sites. The monitoring of genetic variation occurring at these cluster-transition determining sites in circulating influenza viruses on a large scale will potentially reduce current assay workloads in influenza surveillance and the selection of new influenza vaccine strains.

Antigenic shift

Antigenic variation

Viral evolution

H5N1 genetic structure

Antigenicity

Viral phylodynamics

10.1093/molbev/msz050

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Citations (16)

Analysis on the Graduate Education with an Equivalent Level of the Library and Information Science Specialty in Beijing Area

Sci-Tech Information Development & Economy (2007)

Liu Mi

This paper introduces the present situation of the graduate education with an equivalent level of the library and information science specialty in Beijing Area,and based on analyzing the demand on the development of the graduate education with an equivalent level,probes mainly into the developing thoughts of strengthening the graduate education with an equivalent level of the library and information science specialty.

Specialty

Graduate Education

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Skills of Reading Comprehension on Reading the Essay Majored in Logistics English

Logistics management (2005)

Liu Mi

In this article, the author holds the four patterns of reading skills and abilities on reading comprehension and methods of grasping when people will read the essay majored in logistics English. Sequentially, it is arrived that readers will be familiar with the characteristic of reading and it also provide the foundation of foreign language for logistics science job.

Foundation (evidence)

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Development of PREDAC-H1pdm to model the antigenic evolution of influenza A/(H1N1) pdm09 viruses

Virologica Sinica (2023)

Liu Mi Jingze Liu Wenjun Song Yousong Peng Xiao Ding

The Influenza A (H1N1) pdm09 virus caused a global pandemic in 2009 and has circulated seasonally ever since. As the continual genetic evolution of hemagglutinin in this virus leads to antigenic drift, rapid identification of antigenic variants and characterization of the antigenic evolution are needed. In this study, we developed PREDAC-H1pdm, a model to predict antigenic relationships between H1N1pdm viruses and identify antigenic clusters for post-2009 pandemic H1N1 strains. Our model performed well in predicting antigenic variants, which was helpful in influenza surveillance. By mapping the antigenic clusters for H1N1pdm, we found that substitutions on the Sa epitope were common for H1N1pdm, whereas for the former seasonal H1N1, substitutions on the Sb epitope were more common in antigenic evolution. Additionally, the localized epidemic pattern of H1N1pdm was more obvious than that of the former seasonal H1N1, which could make vaccine recommendation more sophisticated. Overall, the antigenic relationship prediction model we developed provides a rapid determination method for identifying antigenic variants, and the further analysis of evolutionary and epidemic characteristics can facilitate vaccine recommendations and influenza surveillance for H1N1pdm.

Antigenic shift

Antigenic variation

Pandemic

H5N1 genetic structure

Original antigenic sin

Viral phylodynamics

H1n1 pandemic

10.1016/j.virs.2023.05.008

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Citations (3)