Li Cui

First Affiliated Hospital of Zhengzhou University

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Qianqian Xing

National University of Defense Technology

Ze Zhao

State Key Laboratory of Chemical Engineering

Baosheng Wang

National University of Defense Technology

Shi‐Long Lu

Sidney Kimmel Comprehensive Cancer Center

Changcheng Huang

Carleton University

Jibing Gong

Yanshan University

Wenhua Bai

National University of Defense Technology

Xiaohui Huang

East China Jiaotong University

Shi Lin

National Chung Shan Institute of Science and Technology

Fu Pu

National University of Defense Technology

Cooperative Institutions

Chinese Academy of Sciences

University of Chinese Academy of Sciences

First Affiliated Hospital of Zhengzhou University

National University of Defense Technology

Institute of Computing Technology

Beijing Institute of Technology

Zhengzhou University

Chinese Academy of Medical Sciences & Peking Union Medical College

Capital Medical University

Sun Yat-sen University

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Evaluation Model of English Teaching Effect Based on Neural Network Algorithm and Support Vector Machine

Li Cui

The optimize the analysis of support vector machines in response to the problem that traditional English teaching models cannot solve the accuracy and efficiency of student English teaching effectiveness evaluation, nor can they meet the requirements of English teaching effectiveness evaluation. Firstly, a multi-indicator English teaching effectiveness evaluation system with teachers and students as the main body was constructed using relevant theories, and the indicators were divided according to the data requirements of English teaching effectiveness evaluation indicators to reduce support vector machines in interference factors. Then, the neural network algorithm is used to solve the optimal solution of the kernel function parameters and regularization parameters of the support vector machine, forming a support vector machine scheme, and the support vector machine results are comprehensively analyzed. MATLAB simulation shows that neural network algorithms and support vector machines have the best evaluation accuracy and short evaluation time for English teaching effectiveness under certain evaluation criteria.

Kernel (algebra)

Regularization

Relevance vector machine

10.1109/aikiie60097.2023.10390347

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Neuropathologist-level integrated classification of adult-type diffuse gliomas using deep learning from whole-slide pathological images

Nature Communications (2023)

Weiwei Wang Yuanshen Zhao Lianghong Teng Jing Yan Yang Guo

Current diagnosis of glioma types requires combining both histological features and molecular characteristics, which is an expensive and time-consuming procedure. Determining the tumor types directly from whole-slide images (WSIs) is of great value for glioma diagnosis. This study presents an integrated diagnosis model for automatic classification of diffuse gliomas from annotation-free standard WSIs. Our model is developed on a training cohort (n = 1362) and a validation cohort (n = 340), and tested on an internal testing cohort (n = 289) and two external cohorts (n = 305 and 328, respectively). The model can learn imaging features containing both pathological morphology and underlying biological clues to achieve the integrated diagnosis. Our model achieves high performance with area under receiver operator curve all above 0.90 in classifying major tumor types, in identifying tumor grades within type, and especially in distinguishing tumor genotypes with shared histological features. This integrated diagnosis model has the potential to be used in clinical scenarios for automated and unbiased classification of adult-type diffuse gliomas.

10.1038/s41467-023-41195-9

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The Study on the Development and Implementation Strategy of Research Course in PE

Journal of Binzhou University (2010)

Li Cui

This paper summed up the meaning of research course in PE,analyzed the ways to the development of research course in PE,and studied the implementation strategy of research course in PE.

Course (navigation)

Life course approach

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Low-cost and wearable healthcare monitoring system for pulse analysis in Traditional Chinese Medicine

Jibing Gong Shi‐Long Lu Rui Wang Li Cui

To meet the increasing needs of home-based healthcare, we propose a novel networked low-cost and wearable healthcare monitoring system, namely TCM-PCA, for pulse analysis in Traditional Chinese Medicine(TCM). The unique innovations of the system are as follows: (1) We propose a novel adaptive features extraction algorithm for pulse waveform to improve physiological feature extraction accuracy of sensed pulse waveform data. (2) We propose a light-weight information fusion framework for human symptom identification according to our previous work. (3) We present a robust external pressure control algorithm for pulse measure to obtain stable pulse waveform data on the pulse-sensor nodes. In this demo, we will demonstrate the working procedure of the system and prove the innovations summarized above.

Remote patient monitoring

Feature (linguistics)

Healthcare system

Wearable Technology

Sensor Fusion

10.1109/mass.2010.5663822

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EasiPLED: An Approach to Discriminate the Causes of Packet Losses and Errors for Wireless Sensor Networks Based on Supervised Learning Theory

Chinese Journal of Computers (2014)

Tingpei Huang Haiming Chen Zhao-Liang ZHANG Li Cui

Supervised Learning

10.3724/sp.j.1016.2013.00471

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Elliptic shape prior for object 2D-3D pose estimation using circular feature

EURASIP Journal on Advances in Signal Processing (2020)

Li Cui Derong Chen Jiulu Gong Yangyu Wu

Abstract Many objects in real world have circular feature. It is a difficult task to obtain the 2D-3D pose estimation using circular feature in challenging scenarios. This paper proposes a method to incorporate elliptic shape prior for object pose estimation using a level set method. The relationship between the projection of the circular feature of a 3D object and the signed distance function corresponding to it is analyzed to yield a 2D elliptic shape prior. The method employs the combination of the grayscale histogram, the intensities of edge, and the smoothness distribution as main image feature descriptors that define the image statistical measure model. The elliptic shape prior combined with the image statistical measure energy model drives the elliptic shape contour to the projection of the circular feature of the 3D object with the current pose into the image plane. These works effectively reduce the impacts of the challenging scenarios on the pose estimate results. In addition, the method utilizes particle filters that take into account the motion dynamics of the object among scene frames, and this work provides the robust method for object 2D-3D pose estimation using circular feature in a challenging environment. Various numerical experiments are illustrated to show the performance and advantages of the proposed method.

Feature (linguistics)

Smoothness

Signed distance function

10.1186/s13634-020-00691-6

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Application of CAI Courseware and Inducement Creativity Teaching Method

Journal of Luoyang Teachers College (2000)

Li Cui

The traditional teaching methods in the middle schools are not adaptive for the requirement of reducing students' burdens. On teaching Fine Arts, the teaching quality can be improved through making CAI courseware and applying the inducement creativity method in terms of developing imagination, inspiring interests, transference of space, interaction between teachers and students, free creation and assignment presentation.

Presentation (obstetrics)

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A Survey of the Motivation in the Acquisition of English as a Second Language among Non-English Majors & Strategy Research

Li Cui

This paper makes a survey of the motivation in the acquisition of English as a second language among non-English majors in Hebei University of Science Technology by means of questionnaires and interviews. The resulting data are thoroughly analyzed and some corresponding strategies are proposed, aimed at motivating second language learners and promoting College English teaching.

Survey research

College English

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EasiCPRS

Jingjing Zhang Rui Wang Shi‐Long Lu Jibing Gong Ze Zhao

Traditional Chinese Pulse Diagnosis is a convenient and noninvasive method for disease diagnosis and healthcare. We have designed and implemented a Chinese wrist-pulse retrieval system based on the principle of Traditional Chinese Pulse Diagnosis (TCPD), called EasiCPRS. It is designed to be small in size, low in cost, with flexibility in deployment, and simplicity in operation. The contributions of this work are: 1. The wrist-pulse at "cun, guan and chi"points over the radial artery are obtained by applying a moderate and adjustable taking pressure during wrist-pulse retrieval. 2. A wrist-pulse signal conditioning circuit and a robust external taking pressure control algorithm are designed to overcome low signal-to-noise ratio (SNR). 3. A lightweight algorithm for wrist-pulse feature extraction is achieved on a resource-constrained platform to economize energy and bandwidth.

10.1145/2070942.2070958

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Carrying out the Information Literacy Education for the College Students Is Library's Responsibility——Talking about How the College Library to Carry out the Information Literacy Education for the College Students

Sci-Tech Information Development & Economy (2009)

Li Cui

Through expounding the connotations of the information literacy education,this paper puts forward the urgency of carrying out the information literacy education for the college students and the superiorities of the college library in carrying out the information literacy education,and puts forward some suggestions on how the college library to carry out the information literacy education for the college students.

Carry (investment)

Literacy Education

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