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Book: You zhi tao xin pin zhong feng chan zai pei

Wang, Guoping / Hong, Ni

2000

Title variant	Youzhili xinpinzhong fengchan zaipei
Author's details	Wang Guoping, Hong Ni bian zhu
Keywords	Peach/Varieties
Language	Chinese
Size	5, 180 p., 20 p. of plates :, ill. ;, 19 cm.
Edition	Di 1 ban.
Publisher	Jin dun chu ban she
Publishing place	Beijing
Document type	Book
ISBN	7508211014 ; 9787508211015
Database	NAL-Catalogue (AGRICOLA)

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Book: Zhong guo gu dai you ji xuan

Ni, Qixin

1985

Author's details	Ni Qixin ... [et al.] xuan zhu
Language	Chinese
Size	33, 309 p
Edition	Di 1 ban
Publisher	Zhong guo lü you chu ban she
Publishing place	Beijing
Document type	Book
Database	Former special subject collection: coastal and deep sea fishing

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Article ; Online: Identification and immunoinfiltration analysis of key genes in ulcerative colitis using WGCNA.

Ni, Siyi / Liu, Yingchao / Zhong, Jihong / Shen, Yan

PeerJ

2024 Volume 12, Page(s) e16921

Abstract: Objective: Ulcerative colitis (UC) is a chronic non-specific inflammatory bowel disease characterized by an unclear pathogenesis. This study aims to screen out key genes related to UC pathogenesis.: Methods: Bioinformatics analysis was conducted for ... ...

Abstract	Objective: Ulcerative colitis (UC) is a chronic non-specific inflammatory bowel disease characterized by an unclear pathogenesis. This study aims to screen out key genes related to UC pathogenesis. Methods: Bioinformatics analysis was conducted for screening key genes linked to UC pathogenesis, and the expression of the screened key genes was verified by establishing a UC mouse model. Results: Through bioinformatics analysis, five key genes were obtained. Subsequent infiltration analysis revealed seven significantly different immune cell types between the UC and general samples. Additionally, animal experiment results illustrated markedly decreased body weight, visible colonic shortening and damage, along with a significant increase in the DAI score of the DSS-induced mice in the UC group in comparison with the NC group. In addition, H&E staining results demonstrated histological changes including marked inflammatory cell infiltration, loss of crypts, and epithelial destruction in the colon mucosa epithelium. qRT-PCR analysis indicated a down-regulation of ABCG2 and an up-regulation of IL1RN, REG4, SERPINB5 and TRIM29 in the UC mouse model. Notably, this observed trend showed a significant dependence on the concentration of DSS, with the mouse model of UC induced by 7% DSS demonstrating a more severe disease state compared to that induced by 5% DSS. Conclusion: ABCG2, IL1RN, REG4, SERPINB5 and TRIM29 were screened out as key genes related to UC by bioinformatics analysis. The expression of ABCG2 was down-regulated, and that of IL1RN, REG4, SERPINB5 and TRIM29 were up-regulated in UC mice as revealed by animal experiments.
MeSH term(s)	Mice ; Animals ; Colitis, Ulcerative/chemically induced ; Inflammatory Bowel Diseases ; Down-Regulation/genetics ; Pancreatitis-Associated Proteins/genetics
Chemical Substances	REG4 protein, mouse ; Pancreatitis-Associated Proteins
Language	English
Publishing date	2024-02-26
Publishing country	United States
Document type	Journal Article
ZDB-ID	2703241-3
ISSN	2167-8359 ; 2167-8359
ISSN (online)	2167-8359
ISSN	2167-8359
DOI	10.7717/peerj.16921
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Smoking contribution to the global burden of metabolic disorder: A cluster analysis.

Zhong, Hua / Ni, Xuefeng / Chen, Ruxuan / Hou, Xiaomeng

Medicina clinica

2024

Abstract: Introduction and objectives: Smoking is associated with various health risks, including cancer, cardiovascular disease, and chronic obstructive pulmonary disease. In this retrospective cohort study, we aimed to determine whether smoking is harmful to ... ...

Abstract	Introduction and objectives: Smoking is associated with various health risks, including cancer, cardiovascular disease, and chronic obstructive pulmonary disease. In this retrospective cohort study, we aimed to determine whether smoking is harmful to the whole metabolic system. Methods: We collected data from 340 randomly selected participants who were divided into three groups: smokers (n=137), non-smokers (n=134), and ex-smokers (n=69). We obtained information on participants' body mass index, waist circumference, indicators of glucose metabolism, lipid metabolism, bone metabolism, and uric acid from health screen data during the past three years. A cluster analysis was used to synthesize each participant's overall metabolic characteristics. Results: According to the cluster analysis, the 340 participants were divided into three groups: excellent metabolizers (137, 40.3%), adverse metabolizers (32, 9.4%), and intermediate metabolizers (171, 50.3%). The Chi-squared test analysis shows that people with different smoking statuses have different metabolic patterns. Non-smokers had the highest proportion of excellent metabolizers (56%), and current smokers had the highest proportion of adverse metabolizers (15.3%). The proportion of adverse metabolizers (5.8%) in the ex-smoker group was clinically relevantly lower than that of current smokers. Conclusion: The statistically significant differences in the distribution of smokers into different metabolic clusters indicate that smoking has adverse effects on the whole metabolic system of the human body, which further increases the existing global burden of metabolic disorders.
Language	Spanish
Publishing date	2024-03-26
Publishing country	Spain
Document type	Journal Article
ZDB-ID	411607-0
ISSN	1578-8989 ; 0025-7753
ISSN (online)	1578-8989
ISSN	0025-7753
DOI	10.1016/j.medcli.2024.02.001
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: MTIE-Net: Multi-technology fusion of low-light image enhancement network.

Tao, Jing / Wu, Hao / Ni, Zhihao / Jin, Zhongyang / Zhong, Changhua

PloS one

2024 Volume 19, Issue 2, Page(s) e0297984

Abstract: Images obtained in low-light scenes are often accompanied by problems such as low visibility, blurred details, and color distortion, enhancing them can effectively improve the visual effect and provide favorable conditions for advanced visual tasks. In ... ...

Abstract	Images obtained in low-light scenes are often accompanied by problems such as low visibility, blurred details, and color distortion, enhancing them can effectively improve the visual effect and provide favorable conditions for advanced visual tasks. In this study, we propose a Multi-Technology Fusion of Low-light Image Enhancement Network (MTIE-Net) that modularizes the enhancement task. MTIE-Net consists of a residual dense decomposition network (RDD-Net) based on Retinex theory, an encoder-decoder denoising network (EDD-Net), and a parallel mixed attention-based self-calibrated illumination enhancement network (PCE-Net). The low-light image is first decomposed by RDD-Net into a lighting map and reflectance map; EDD-Net is used to process noise in the reflectance map; Finally, the lighting map is fused with the denoised reflectance map as an input to PCE-Net, using the Fourier transform for illumination enhancement and detail recovery in the frequency domain. Numerous experimental results show that MTIE-Net outperforms the comparison methods in terms of image visual quality enhancement improvement, denoising, and detail recovery. The application in nighttime face detection also fully demonstrates its promise as a pre-processing means in practical applications.
MeSH term(s)	Image Enhancement ; Lighting ; Refractive Surgical Procedures ; Technology ; Image Processing, Computer-Assisted
Language	English
Publishing date	2024-02-02
Publishing country	United States
Document type	Journal Article
ZDB-ID	2267670-3
ISSN	1932-6203 ; 1932-6203
ISSN (online)	1932-6203
ISSN	1932-6203
DOI	10.1371/journal.pone.0297984
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Retraction for Ni et al., "Autoregulation of Lantibiotic Bovicin HJ50 Biosynthesis by the BovK-BovR Two-Component Signal Transduction System in

Ni, Jianqiang / Teng, Kunling / Liu, Gang / Qiao, Caixia / Huan, Liandong / Zhong, Jin

Applied and environmental microbiology

2024 Volume 90, Issue 3, Page(s) e0000624

Language	English
Publishing date	2024-02-26
Publishing country	United States
Document type	Retraction of Publication
ZDB-ID	223011-2
ISSN	1098-5336 ; 0099-2240
ISSN (online)	1098-5336
ISSN	0099-2240
DOI	10.1128/aem.00006-24
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Your blush gives you away: detecting hidden mental states with remote photoplethysmography and thermal imaging.

Liu, Ivan / Liu, Fangyuan / Zhong, Qi / Ma, Fei / Ni, Shiguang

PeerJ. Computer science

2024 Volume 10, Page(s) e1912

Abstract: Multimodal emotion recognition techniques are increasingly essential for assessing mental states. Image-based methods, however, tend to focus predominantly on overt visual cues and often overlook subtler mental state changes. Psychophysiological research ...

Abstract	Multimodal emotion recognition techniques are increasingly essential for assessing mental states. Image-based methods, however, tend to focus predominantly on overt visual cues and often overlook subtler mental state changes. Psychophysiological research has demonstrated that heart rate (HR) and skin temperature are effective in detecting autonomic nervous system (ANS) activities, thereby revealing these subtle changes. However, traditional HR tools are generally more costly and less portable, while skin temperature analysis usually necessitates extensive manual processing. Advances in remote photoplethysmography (r-PPG) and automatic thermal region of interest (ROI) detection algorithms have been developed to address these issues, yet their accuracy in practical applications remains limited. This study aims to bridge this gap by integrating r-PPG with thermal imaging to enhance prediction performance. Ninety participants completed a 20-min questionnaire to induce cognitive stress, followed by watching a film aimed at eliciting moral elevation. The results demonstrate that the combination of r-PPG and thermal imaging effectively detects emotional shifts. Using r-PPG alone, the prediction accuracy was 77% for cognitive stress and 61% for moral elevation, as determined by a support vector machine (SVM). Thermal imaging alone achieved 79% accuracy for cognitive stress and 78% for moral elevation, utilizing a random forest (RF) algorithm. An early fusion strategy of these modalities significantly improved accuracies, achieving 87% for cognitive stress and 83% for moral elevation using RF. Further analysis, which utilized statistical metrics and explainable machine learning methods including SHapley Additive exPlanations (SHAP), highlighted key features and clarified the relationship between cardiac responses and facial temperature variations. Notably, it was observed that cardiovascular features derived from r-PPG models had a more pronounced influence in data fusion, despite thermal imaging's higher predictive accuracy in unimodal analysis.
Language	English
Publishing date	2024-03-20
Publishing country	United States
Document type	Journal Article
ISSN	2376-5992
ISSN (online)	2376-5992
DOI	10.7717/peerj-cs.1912
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Unsupervised OCT image despeckling with ground-truth- and repeated-scanning-free features.

Wu, Renxiong / Huang, Shaoyan / Zhong, Junming / Zheng, Fei / Li, Meixuan / Ge, Xin / Zhong, Jie / Liu, Linbo / Ni, Guangming / Liu, Yong

Optics express

2024 Volume 32, Issue 7, Page(s) 11934–11951

Abstract: Optical coherence tomography (OCT) can resolve biological three-dimensional tissue structures, but it is inevitably plagued by speckle noise that degrades image quality and obscures biological structure. Recently unsupervised deep learning methods are ... ...

Abstract	Optical coherence tomography (OCT) can resolve biological three-dimensional tissue structures, but it is inevitably plagued by speckle noise that degrades image quality and obscures biological structure. Recently unsupervised deep learning methods are becoming more popular in OCT despeckling but they still have to use unpaired noisy-clean images or paired noisy-noisy images. To address the above problem, we propose what we believe to be a novel unsupervised deep learning method for OCT despeckling, termed Double-free Net, which eliminates the need for ground truth data and repeated scanning by sub-sampling noisy images and synthesizing noisier images. In comparison to existing unsupervised methods, Double-free Net obtains superior denoising performance when trained on datasets comprising retinal and human tissue images without clean images. The efficacy of Double-free Net in denoising holds significant promise for diagnostic applications in retinal pathologies and enhances the accuracy of retinal layer segmentation. Results demonstrate that Double-free Net outperforms state-of-the-art methods and exhibits strong convenience and adaptability across different OCT images.
MeSH term(s)	Humans ; Tomography, Optical Coherence/methods ; Algorithms ; Retina/diagnostic imaging ; Radionuclide Imaging ; Image Processing, Computer-Assisted/methods
Language	English
Publishing date	2024-04-04
Publishing country	United States
Document type	Journal Article
ZDB-ID	1491859-6
ISSN	1094-4087 ; 1094-4087
ISSN (online)	1094-4087
ISSN	1094-4087
DOI	10.1364/OE.510696
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Analysis of clinical characteristics and risk factors of community-acquired pneumonia complicated by parapneumonic pleural effusion in elderly patients.

Zhong, Mingmei / Ni, Ruiqin / Zhang, Huizhen / Sun, Yangyang

BMC pulmonary medicine

2023 Volume 23, Issue 1, Page(s) 355

Abstract: Background: Community-acquired pneumonia (CAP) patients usually present with parapneumonic pleural effusion (PPE), which complicates the treatment of pneumonia. This study aims to investigate the clinical characteristics and risk factors of elderly CAP ... ...

Abstract	Background: Community-acquired pneumonia (CAP) patients usually present with parapneumonic pleural effusion (PPE), which complicates the treatment of pneumonia. This study aims to investigate the clinical characteristics and risk factors of elderly CAP patients hospitalised with PPE. Methods: The clinical data of 132 elderly patients with CAP were retrospectively analysed. A total of 54 patients with PPE (PPE group) and 78 patients without PPE (NPPE group) were included in this study. Clinical data, laboratory examinations, treatments and other relevant indicators were collected. Univariate analysis and multivariate logistic regression analysis will be used to explore the possible risk factors for PPE. Results: The proportion of PPE in elderly patients with CAP was 40.9%. PPE patients were significantly more likely to be older, have comorbid neurological diseases, experience chest tightness, and have a lasting fever (P < 0.05). In contrast to NPPE patients, the total number of lymphocytes, serum albumin and blood sodium levels in the PPE group were significantly lower (P < 0.05). The blood D-dimer, C-reactive protein and CURB-65 score of PPE patients were significantly higher (P < 0.05) than those of NPPE patients. Multivariate logistic regression identified chest tightness (OR = 3.964, 95% CI: 1.254-12.537, P = 0.019), long duration of fever (OR = 1.108, 95%CI: 1.009-1.217, P = 0.03), low serum albumin (OR = 0.876, 95%CI: 0.790- 0.971, P = 0.012) or low blood sodium (OR = 0.896, 95%CI: 0.828-0.969, P = 0.006) as independently associated with the development of parapneumonic pleural effusion in the elderly. Conclusion: This study has identified several clinical factors, such as chest tightness, long duration of fever, low serum albumin, and low blood sodium, as risk factors for the development of pleural effusion in elderly patients with CAP. Early identification and prompt management of these patients can prevent inappropriate treatment and reduce morbidity and mortality.
MeSH term(s)	Aged ; Humans ; Retrospective Studies ; Pleural Effusion/epidemiology ; Risk Factors ; Community-Acquired Infections/epidemiology ; Fever/epidemiology ; Pneumonia/complications ; Pneumonia/epidemiology ; Serum Albumin ; Sodium
Chemical Substances	Serum Albumin ; Sodium (9NEZ333N27)
Language	English
Publishing date	2023-09-20
Publishing country	England
Document type	Journal Article
ZDB-ID	2059871-3
ISSN	1471-2466 ; 1471-2466
ISSN (online)	1471-2466
ISSN	1471-2466
DOI	10.1186/s12890-023-02649-4
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: [Studies on new attenuated strains of type I live poliovirus vaccine. I. Development of Zhong I9 strain].

Chen, T Q / Li, C Z / Ni, S F / Ji, G F / Shi, M / Ye, Z Z / Guo, R / Dong, D X

Zhongguo yi xue ke xue yuan xue bao. Acta Academiae Medicinae Sinicae

1983 Volume 5, Issue 5, Page(s) 280–284

MeSH term(s)	Animals ; Macaca mulatta ; Poliovirus/radiation effects ; Poliovirus Vaccine, Inactivated/immunology ; Vaccines, Attenuated/immunology
Chemical Substances	Poliovirus Vaccine, Inactivated ; Vaccines, Attenuated
Language	Chinese
Publishing date	1983-10
Publishing country	China
Document type	English Abstract ; Journal Article
ZDB-ID	604853-5
ISSN	1000-503X
ISSN	1000-503X
Database	MEDical Literature Analysis and Retrieval System OnLINE

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