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1. Study on the relationship between personality characteristics and family environment of medical undergraduates taking psychology as an elective course

Author

Zeng Huimei, Zhan Zhi, Zheng Zhuanfang, Yang Lingling, Zheng Liming, and Li Yan

Subjects
undergraduate medical students, psychology course, personality characteristics, family environment, Psychology, BF1-990, Psychiatry, RC435-571
Abstract

ObjectiveTo analyze the correlation between personality characteristics and family environment of undergraduate medical students taking psychology course.MethodsIn June 2017， a cross-sectional survey was conducted among 67 undergraduate medical students taking psychology course， and all the selected individuals were assessed using Minnesota Multiphasic Personality Inventory （MMPI） and Family Environment Scale-Chinese Version （FES-CV）. Then Pearson correlation analysis was performed between the original scores of MMPI subscales and the scores of FES-CV subscales.ResultsThe scores of hypochondriasis， depression， hysteria， psychopathic deviate， masculine-femininity， paranoia， psychasthenia and schizophrenia in MMPI of undergraduates were all higher than those of the national norm， with statistical differences （t=2.070~8.350， P

Published
2021
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3. Effects of Astragalus Polysaccharides on Growth, Metastasis and Cell Cycle of Lewis Lung Cancer in Tumor-bearing Mice with Qi and Yin Deficiency

Author

LI Yang, YANG Lingling, BAI Yanli, and MING Haixia

Subjects
astragalus polysaccharide, qi and yin deficiency, lewis lung cancer, cell cycle, antitumor effect, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Objective To observe the effects of Astragalus polysaccharides on the growth, metastasis and cell cycle of Lewis lung cancer in tumor-bearing mice with Qi and Yin deficiency. Methods Lewis lung cancer cells cultured in vitro were randomly divided into control group and Chinese medicine group. Cell cycle was detected by flow cytometry. Among 90 C57BL/6J mice, 10 mice were taken as blank group, and the other 80 mice were treated with Chinese medicine and gastric perfusion of warm smoked shavings. The mice bearing transplanted Lewis lung cancer solid tumor with Qi and Yin deficiency were randomly divided into eight groups. Mice tumor inhibition rate and q value were compared. Peripheral blood cells and bone marrow cells were counted and ELISA was applied to detect the content of serum IL-2, IFN-γ, TNF-α, IL-10, HIF-1α, VEGF and MMP-2. Results Astragalus polysaccharide arrested Lewis lung cancer cells in S phase; with the increase of drug concentration, cell apoptosis increased gradually; the tumor inhibition rates in the drug combination groups were higher than those of Astragalus polysaccharide groups and cisplatin group, q value was 0.85-1.15; compared with cisplatin group, the number of peripheral blood cells and bone marrow cells, the content of IL-2, INF-γ and TNF-α in moderate-and high-dose drug combination groups were significantly increased, while the content of IL-10, HIF-1α, VEGF and MMP-2 were significantly decreased (P < 0.05, P < 0.01). Conclusion Astragalus polysaccharides in vitro has inhibitory effect on Lewis lung cancer cells; its combination with cisplatin in vivo could inhibit the growth and metastasis of Lewis lung cancer cells, increase the number of peripheral blood cells and bone marrow cells, the content of IL-2, INF-γ and TNF-α, and reduce the content of IL-10, HIF-1α, VEGF and MMP-2 in tumor-bearing mice with Qi and Yin deficiency.

Published
2018
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8. Bogdanov-Takens bifurcation of codimension $3$ in the Gierer-Meinhardt model

Author

Wu, Ranchao and Yang, Lingling

Subjects
Mathematics - Dynamical Systems
Abstract

Bifurcation of the local Gierer-Meinhardt model is analyzed in this paper. It is found that the degenerate Bogdanov-Takens bifurcation of codimension 3 happens in the model, except that teh saddle-node bifurcation and the Hopf bifurcation. That was not reported in the existing results about this model. The existence of equilibria, their stability, the bifurcation and the induced complicated and interesting dynamics are explored in detail, by using the stability analysis, the normal form method and bifurcation theory. Numerical results are also presented to validate theoretical results.

Published
2023

9. Neural Radiation Fields via Accelerated and High Quality Parallel for Novel View Synthesis

Author

Liu, Liqiang, Yang, Lingling, Fu, Yanfang, Cai, Dongmei, Luo, Qianqing, Cao, Zijian, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Huang, De-Shuang, editor, Pan, Yijie, editor, and Zhang, Qinhu, editor

Published
2024
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18. Compact and miniaturized wideband bandpass filter based on substrate integrated waveguide and microstrip line.

Author

Liu, Haihong, Yang, Lingling, Cai, Bin, Wu, Ling, Cheng, Yongzhi, Chen, Fu, Luo, Hui, and Li, Xiangcheng

Subjects
*MICROSTRIP transmission lines, *BANDPASS filters, *INSERTION loss (Telecommunication), *MODAL analysis, *RESONANCE
Abstract

In this work, we present a simple design of a compact and miniaturized wideband bandpass filter (BPF) based on substrate integrated waveguide (SIW) and microstrip line. Through the order extension, the filtering effect and the order of the Chebyshev response of the designed BPF can be indirectly controlled by preserving square notches (SNs) on the SIW. By introducing one or two SNs in the SIW structure, the resonance frequencies of different modes can be controlled, thus achieving dual- and tri-mode BPFs with wideband and low insert loss. The working principle of the designed BPFs was illustrated by modal analysis, field distribution, and equivalent circuit theory. Based on this, the dual- and tri-mode BPFs with center frequencies of 6.8 and 7 GHz were designed and demonstrated numerically. Further experimental results indicate that the proposed tri-mode BPF has low insertion loss (0.25 dB), compact size (0.27λg2), and wideband bandwidth (60%). In addition, the tri-mode BPF achieves a broadband out-of-band rejection of 1.5f0 (f0 is the center resonance frequency) below the −10 dB level, making it highly promising for various applications in related fields. [ABSTRACT FROM AUTHOR]

Published
2024
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19. The impact of sensory neuropathy and inflammation on epithelial wound healing in diabetic corneas

Author

Yu, Fu-Shin X, Lee, Patrick SY, Yang, Lingling, Gao, Nan, Zhang, Yangyang, Ljubimov, Alexander V, Yang, Ellen, Zhou, Qingjun, and Xie, Lixin

Subjects
Biomedical and Clinical Sciences, Neurosciences, Ophthalmology and Optometry, Eye Disease and Disorders of Vision, Peripheral Neuropathy, Pain Research, Chronic Pain, Neurodegenerative, Physical Injury - Accidents and Adverse Effects, Regenerative Medicine, Autoimmune Disease, Diabetes, Development of treatments and therapeutic interventions, 2.1 Biological and endogenous factors, Aetiology, 5.2 Cellular and gene therapies, Eye, Metabolic and endocrine, Animals, Humans, Cornea, Diabetes Complications, Diabetes Mellitus, Experimental, Epithelium, Corneal, Inflammation, Wound Healing, Corneal wound healing, Diabetic keratopathy, Diabetic peripheral nerve degeneration, Opthalmology and Optometry, Ophthalmology & Optometry, Ophthalmology and optometry
Abstract

Diabetic peripheral neuropathy (DPN) is the most common complication of diabetes, with several underlying pathophysiological mechanisms, some of which are still uncertain. The cornea is an avascular tissue and sensitive to hyperglycemia, resulting in several diabetic corneal complications including delayed epithelial wound healing, recurrent erosions, neuropathy, loss of sensitivity, and tear film changes. The manifestation of DPN in the cornea is referred to as diabetic neurotrophic keratopathy (DNK). Recent studies have revealed that disturbed epithelial-neural-immune cell interactions are a major cause of DNK. The epithelium is supplied by a dense network of sensory nerve endings and dendritic cell processes, and it secretes growth/neurotrophic factors and cytokines to nourish these neighboring cells. In turn, sensory nerve endings release neuropeptides to suppress inflammation and promote epithelial wound healing, while resident immune cells provide neurotrophic and growth factors to support neuronal and epithelial cells, respectively. Diabetes greatly perturbs these interdependencies, resulting in suppressed epithelial proliferation, sensory neuropathy, and a decreased density of dendritic cells. Clinically, this results in a markedly delayed wound healing and impaired sensory nerve regeneration in response to insult and injury. Current treatments for DPN and DNK largely focus on managing the severe complications of the disease. Cell-based therapies hold promise for providing more effective treatment for diabetic keratopathy and corneal ulcers.

Published
2022

39. Prediction Modeling and Analysis for Telecom Customer Churn in Two Months

Author

Yang, Lingling, Li, Dongyang, and Lu, Yao

Subjects
Computer Science - Information Retrieval, Computer Science - Machine Learning
Abstract

A practical churn customer prediction model is critical to retain customers for telecom companies in the saturated and competitive market. Previous studies focus on predicting churn customers in current or next month, in which telecom companies don't have enough time to develop and carry out churn management strategies. In this paper, we propose a new T+2 churn customer prediction model, in which the churn customers in two months are recognized and the one-month window T+1 is reserved to carry out churn management strategies. However, the predictions for churn customers in two months are much more difficult than in current or next month because of the weaker correlation between the customer information and churn states. Two characteristics of telecom dataset, the discrimination between churn and non-churn customers is complicated and the class imbalance problem is serious, are observed. To discriminate the churn customers accurately, random forest (RF) classifier is chosen because RF solves the nonlinear separable problem with low bias and low variance and handles high feature spaces and large number of training examples. To overcome the imbalance problem, synthetic minority over-sampling with borderline or tomek link, in which the distribution of the samples remains and the number of the training examples becomes larger, is applied. Overall, a precision ratio of about 50% with a recall ratio of about 50% is achieved in the T+2 churn prediction. The proposed prediction model provides an accurate and operable churn customer prediction model for telecom companies., Comment: 22 pages, 4 figures

Published
2019

40. Decoding of visual-related information from the human EEG using an end-to-end deep learning approach

Author

Yang, Lingling, Chan, Leanne Lai Hang, and Lu, Yao

Subjects
Electrical Engineering and Systems Science - Signal Processing, Computer Science - Machine Learning
Abstract

There is increasing interest in using deep learning approach for EEG analysis as there are still rooms for the improvement of EEG analysis in its accuracy. Convolutional long short-term (CNNLSTM) has been successfully applied in time series data with spatial structure through end-to-end learning. Here, we proposed a CNNLSTM based neural network architecture termed EEG_CNNLSTMNet for the classification of EEG signals in response to grating stimuli with different spatial frequencies. EEG_CNNLSTMNet comprises two convolutional layers and one bidirectional long short-term memory (LSTM) layer. The convolutional layers capture local temporal characteristics of the EEG signal at each channel as well as global spatial characteristics across channels, while the LSTM layer extracts long-term temporal dependency of EEG signals. Our experiment showed that EEG_CNNLSTMNet performed much better at EEG classification than a traditional machine learning approach, i.e. a support vector machine (SVM) with features. Additionally, EEG_CNNLSTMNet outperformed EEGNet, a state-of-art neural network architecture for the intra-subject case. We infer that the underperformance when using an LSTM layer in the inter-subject case is due to long-term dependency characteristics in the EEG signal that vary greatly across subjects. Moreover, the inter-subject fine-tuned classification model using very little data of the new subject achieved much higher accuracy than that trained only on the data from the other subjects. Our study suggests that the fine-tuned inter-subject model can be a potential end-to-end EEG analysis method considering both the accuracy and the required training data of the new subject., Comment: \c{opyright} 20XX IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works

Published
2019

46. A multicenter prospective study of comprehensive metagenomic and transcriptomic signatures for predicting outcomes of patients with severe community-acquired pneumonia

Author

Zhao, Jingya, He, Xiangyan, Min, Jiumeng, Yao, Rosary Sin Yu, Chen, Yu, Chen, Zhonglin, Huang, Yi, Zhu, Zhongyi, Gong, Yanping, Xie, Yusang, Li, Yuping, Luo, Weiwei, Shi, Dongwei, Xu, Jinfu, Shen, Ao, Wang, Qiuyue, Sun, Ruixue, He, Bei, Lin, Yang, Shen, Ning, Cao, Bin, Yang, Lingling, She, Danyang, Shi, Yi, Zhou, Jiali, Su, Xin, Zhou, Hua, Ma, Zhenzi, Fan, Hong, Lin, Yongquan, Ye, Feng, Nie, Xifang, Zhang, Qiao, Tian, Xinlun, Lai, Guoxiang, Zhou, Min, Ma, Jinmin, Zhang, Jing, and Qu, Jieming

Published
2023
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