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Article: Estimating insect pest density using the physiological index of crop leaf.

Chen, Meng / Liu, Xiang-Dong

2023 Volume 14, Page(s) 1152698

Abstract: Estimating population density is a fundamental study in ecology and crop pest management. The density estimation of small-scale animals, such as insects, is a challenging task due to the large quantity and low visibility. An herbivorous insect is the big ...

Abstract	Estimating population density is a fundamental study in ecology and crop pest management. The density estimation of small-scale animals, such as insects, is a challenging task due to the large quantity and low visibility. An herbivorous insect is the big enemy of crops, which often causes serious losses. Feeding of insects results in changes in physiology-related chemical compositions of crops, but it is unknown whether these changes can be used to estimate the population density of pests. The brown planthopper (BPH),
Language	English
Publishing date	2023-08-10
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2613694-6
ISSN	1664-462X
ISSN	1664-462X
DOI	10.3389/fpls.2023.1152698
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Research on Vision of Intelligent Car Based on Broad Learning System.

Liu, Xiang / Wu, Yuanqing

IEEE transactions on cybernetics

2023 Volume 53, Issue 8, Page(s) 4805–4814

Abstract: The broad learning system (BLS) of intelligent vehicle in different target environments is studied in this article. First, this article provides with the target recognition image data to be trained and detected through the automated guided vehicle (AGV) ... ...

Abstract	The broad learning system (BLS) of intelligent vehicle in different target environments is studied in this article. First, this article provides with the target recognition image data to be trained and detected through the automated guided vehicle (AGV) mobile platform, which can grab the recognition image of different angles and backgrounds. In order to avoid the data generalization phenomenon, the dataset can be expanded by the data normalization and data enhancement. Second, the data are input into the shared convolution layer to extract the feature image and maintain the image. The parameters of image height, width, and channel number are invariable, and the new feature image is obtained by further extraction. Furthermore, the region proposal network (RPN) prefiltering algorithm based on hierarchical clustering is used to filter the objects in the candidate box to determine the region image corresponding to the feature image. Then, the feature images of different sizes input into region of interest (ROI) pooling are used to keep the size of the image in the ROI consistent. Finally, the normalized image is input into the classifier module to obtain the category of the target recognition image to be detected. Through the simulation experiments of different groups, it can be seen that the target recognition system proposed in this design can not only accurately detect the objects but also stably recognize the objects in different environments. The target recognition accuracy for the optimized system is about 95%.
Language	English
Publishing date	2023-07-18
Publishing country	United States
Document type	Journal Article
ISSN	2168-2275
ISSN (online)	2168-2275
DOI	10.1109/TCYB.2021.3137801
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Article ; Online: Evolution of Fiber-Optic Transmission and Networking toward the 5G Era.

Liu, Xiang

iScience

2019 Volume 22, Page(s) 489–506

Abstract: Fiber Optics; Information and Communication Technologies; Telecommunication Engineering. ...

Abstract	Fiber Optics; Information and Communication Technologies; Telecommunication Engineering.
Language	English
Publishing date	2019-11-18
Publishing country	United States
Document type	Journal Article ; Review
ISSN	2589-0042
ISSN (online)	2589-0042
DOI	10.1016/j.isci.2019.11.026
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Rapid detection of multi-scale cotton pests based on lightweight GBW-YOLOv5 model.

Liang, Jinyan / Tian, Min / Liu, Xiang

Pest management science

2024

Abstract: Background: Pest infestation is one of the primary causes of decreased cotton yield and quality. Rapid and accurate identification of cotton pest categories is essential for producers to implement effective and expeditious control measures. Existing ... ...

Abstract	Background: Pest infestation is one of the primary causes of decreased cotton yield and quality. Rapid and accurate identification of cotton pest categories is essential for producers to implement effective and expeditious control measures. Existing multi-scale cotton pest detection technology still suffers from poor accuracy and rapidity of detection. This study proposed the pruned GBW-YOLOv5 (Ghost-BiFPN-WIoU You Only Look Once version 5), a novel model for the rapid detection of cotton pests. Results: The detection performance of the pruned GBW-YOLOv5 model for cotton pests was evaluated based on the self-built cotton pest dataset. In comparison with the original YOLOv5 model, the pruned GBW-YOLOv5 model demonstrated significant reductions in complexity, size, and parameters by 68.4%, 66.7%, and 68.2%, respectively. Remarkably, the mean average precision (mAP) decreased by a mere 3.8%. The pruned GBW-YOLOv5 model outperformed other classic object detection models, achieving an outstanding detection speed of 114.9 FPS. Conclusion: The methodology proposed by our research enabled rapid and accurate identification of cotton pests, laying a solid foundation for the implementation of precise pest control measures. The pruned GBW-YOLOv5 model provided theoretical research and technical support for detecting cotton pests under field conditions. © 2024 Society of Chemical Industry.
Language	English
Publishing date	2024-01-31
Publishing country	England
Document type	Journal Article
ZDB-ID	2001705-4
ISSN	1526-4998 ; 1526-498X
ISSN (online)	1526-4998
ISSN	1526-498X
DOI	10.1002/ps.7978
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Article ; Online: A discrete approximation method for modeling interval-censored multistate data.

You, Lu / Liu, Xiang / Krischer, Jeffrey

Statistics in medicine

2024

Abstract: Many longitudinal studies are designed to monitor participants for major events related to the progression of diseases. Data arising from such longitudinal studies are usually subject to interval censoring since the events are only known to occur between ...

Abstract	Many longitudinal studies are designed to monitor participants for major events related to the progression of diseases. Data arising from such longitudinal studies are usually subject to interval censoring since the events are only known to occur between two monitoring visits. In this work, we propose a new method to handle interval-censored multistate data within a proportional hazards model framework where the hazard rate of events is modeled by a nonparametric function of time and the covariates affect the hazard rate proportionally. The main idea of this method is to simplify the likelihood functions of a discrete-time multistate model through an approximation and the application of data augmentation techniques, where the assumed presence of censored information facilitates a simpler parameterization. Then the expectation-maximization algorithm is used to estimate the parameters in the model. The performance of the proposed method is evaluated by numerical studies. Finally, the method is employed to analyze a dataset on tracking the advancement of coronary allograft vasculopathy following heart transplantation.
Language	English
Publishing date	2024-04-10
Publishing country	England
Document type	Journal Article
ZDB-ID	843037-8
ISSN	1097-0258 ; 0277-6715
ISSN (online)	1097-0258
ISSN	0277-6715
DOI	10.1002/sim.10079
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Article ; Online: Risk Factors of Suicide Attempt among Adolescents with Suicide Ideation in Low- and Middle-Income Countries across the Globe.

Ding, Liwen / Liu, Yuanyuan / Liu, Xiang

Issues in mental health nursing

2024 Volume 44, Issue 12, Page(s) 1209–1215

Abstract: Suicide is a serious public health problem for adolescents. Based on the framework of ideation-to-action, it is important to examine the factors associated with the translation from suicide ideation to suicide attempt. The present study aimed to ... ...

Abstract	Suicide is a serious public health problem for adolescents. Based on the framework of ideation-to-action, it is important to examine the factors associated with the translation from suicide ideation to suicide attempt. The present study aimed to investigate the risk factors of suicide attempts among adolescents with suicide ideation in low-income and middle-income countries (LMICs). We analyzed data of students aged 12-18 years who participated in the 2009-2013 Global School-based Health Surveys (GSHS) in 39 LMICs. The Chi-square test was used to compare the prevalence of suicide attempts among participants with suicide ideation, the multilevel logistic regression model was used to identify significant factors associated with suicide attempts among suicide ideators. Among 22,655 adolescents with suicide ideation, 55.1% of them reported having made a suicide attempt in the past year. Loneliness, anxiety, alcohol use, and drug use were risk factors for suicide attempts among suicide ideators. Strategies should be implemented to reduce the likelihood of adolescents acting on their suicidal thoughts, such as community psychological crisis line, school-based mental health and skills training programs, and family support for adolescents with psychological problems.
MeSH term(s)	Humans ; Adolescent ; Suicidal Ideation ; Suicide, Attempted/psychology ; Developing Countries ; Risk Factors ; Surveys and Questionnaires
Language	English
Publishing date	2024-01-05
Publishing country	England
Document type	Journal Article
ZDB-ID	603180-8
ISSN	1096-4673 ; 0161-2840
ISSN (online)	1096-4673
ISSN	0161-2840
DOI	10.1080/01612840.2023.2258219
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Article ; Online: Fractional averaging theory for discrete fractional-order system with impulses.

Wang, Peiguang / Liu, Xiang / Anderson, Douglas R

Chaos (Woodbury, N.Y.)

2024 Volume 34, Issue 1

Abstract: In this paper, we improve the averaging theory on both finite and infinite time intervals for discrete fractional-order systems with impulses. By employing new techniques, generalized impulsive discrete fractional-order Gronwall inequality is introduced. ...

Abstract	In this paper, we improve the averaging theory on both finite and infinite time intervals for discrete fractional-order systems with impulses. By employing new techniques, generalized impulsive discrete fractional-order Gronwall inequality is introduced. In addition, the closeness of solutions for the discrete fractional-order systems with impulses and the averaged discrete fractional-order systems with impulses is derived. Finally, three examples are provided to illustrate the efficiency of our main results.
Language	English
Publishing date	2024-01-22
Publishing country	United States
Document type	Journal Article
ZDB-ID	1472677-4
ISSN	1089-7682 ; 1054-1500
ISSN (online)	1089-7682
ISSN	1054-1500
DOI	10.1063/5.0181121
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Article ; Online: Flexible Meso Electronics and Photonics Based on Cocoon Silk and Applications.

Lu, Changsheng / Wang, Xiao / Liu, Xiang Yang

ACS biomaterials science & engineering

2024

Abstract: Flexible electronics, applicable to enlarged health, AI big data medications, etc., have been one of the most important technologies of this century. Due to its particular mechanical properties, biocompatibility, and biodegradability, cocoon silk (or SF, ...

Abstract	Flexible electronics, applicable to enlarged health, AI big data medications, etc., have been one of the most important technologies of this century. Due to its particular mechanical properties, biocompatibility, and biodegradability, cocoon silk (or SF, silk fibroin) plays a key role in flexible electronics/photonics. The review begins with an examination of the hierarchical meso network structures of SF materials and introduces the concepts of meso reconstruction, meso doping, and meso hybridization based on the correlation between the structure and performance of silk materials. The SF meso functionalization was developed according to intermolecular nuclear templating. By implementation of the techniques of meso reconstruction and functionalization in the refolding of SF materials, extraordinary performance can be achieved. Relying on this strategy, particularly designed flexible electronic and photonic components can be developed. This review covers the latest ideas and technologies of meso flexible electronics and photonics based on SF materials/meso functionalization. As silk materials are biocompatible and human skin-friendly, SF meso flexible electronic/photonic components can be applied to wearable or implanted devices. These devices are applicable in human physiological signals and activities sensing/monitoring. In the case of human-machine interaction, the devices can be applicable in in-body information transmission, computation, and storage, with the potential for the combination of artificial intelligence and human intelligence.
Language	English
Publishing date	2024-04-10
Publishing country	United States
Document type	Journal Article ; Review
ISSN	2373-9878
ISSN (online)	2373-9878
DOI	10.1021/acsbiomaterials.4c00254
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Article ; Online: TFAP2A upregulates SKA3 to promote glycolysis and reduce the sensitivity of lung adenocarcinoma cells to cisplatin.

Liu, Guijun / Liu, Xiang / Zeng, Wei / Zhou, Wangyan

Pharmacology

2024

Abstract: Introduction: This work was designed to delve into the effects of SKA3 on glycolysis and cisplatin (CDDP) resistance in LUAD cells and to find new possibilities for individualized treatment of LUAD.: Methods: LUAD mRNA expression data from the TCGA ... ...

Abstract	Introduction: This work was designed to delve into the effects of SKA3 on glycolysis and cisplatin (CDDP) resistance in LUAD cells and to find new possibilities for individualized treatment of LUAD. Methods: LUAD mRNA expression data from the TCGA database were procured to scrutinize the differential expression patterns of SKA3 in both tumor and normal tissues. GSEA and Pearson correlation analyses were employed to elucidate the impact of SKA3 on signaling pathways within the context of LUAD. In order to discern the upstream regulatory mechanisms, the ChEA and JASPAR databases were utilized to predict the transcription factors and binding sites associated with SKA3. qRT-PCR and Western blot were implemented to assay the mRNA and protein expression levels of SKA3 and TFAP2A. Chromatin immunoprecipitation (ChIP) and dual luciferase assays were performed to solidify the binding relationship between the two. Extracellular acidification rate, glucose consumption, lactate production, and glycolysis-related proteins (HK2, GLUT1, and LDHA) were used to evaluate the level of glycolysis. Cell viability under CDDP treatment was determined utilizing the CCK-8, allowing for the calculation of IC50. The expression levels of SKA3 and TFAP2A proteins were detected by immunohistochemistry (IHC). Results: SKA3 exhibited upregulation in LUAD tissues and cell lines, establishing a direct linkage with glycolysis pathway. Overexpression of SKA3 fostered glycolysis in LUAD, resulting in reduced sensitivity towards CDDP treatment. The upstream transcription factor of SKA3, TFAP2A, was also upregulated in LUAD and could promote SKA3 transcription. Overexpression of TFAP2A also fostered the glycolysis of LUAD. Rescue assays showed that TFAP2A promoted glycolysis in LUAD cells by activating SKA3, reducing the sensitivity of LUAD cells to CDDP. The IHC analysis revealed a positive correlation between high expression of SKA3 and TFAP2A and CDDP resistance. Conclusion: In summary, TFAP2A can transcriptionally activate SKA3, promote glycolysis in LUAD, and protect LUAD cells from CDDP treatment, indicating that targeting the TFAP2A/SKA3 axis may become a plausible and pragmatic therapeutic strategy for the clinical governance of LUAD.
Language	English
Publishing date	2024-04-20
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	206671-3
ISSN	1423-0313 ; 0031-7012
ISSN (online)	1423-0313
ISSN	0031-7012
DOI	10.1159/000536557
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Article ; Online: The association between waist circumference and adult asthma attack using nationally representative samples.

Liu, Xiang / Tian, Shuang / Zhao, Ting

BMC public health

2024 Volume 24, Issue 1, Page(s) 1158

Abstract: Aims: This study aims to explore the relationship between waist circumference and asthma attack in adults.: Methods: In this cross-sectional study, we analysed data from 5,530 U.S. adults diagnosed with asthma. Participants were categorized into two ... ...

Abstract	Aims: This study aims to explore the relationship between waist circumference and asthma attack in adults. Methods: In this cross-sectional study, we analysed data from 5,530 U.S. adults diagnosed with asthma. Participants were categorized into two groups based on their experience of asthma attacks: with or without asthma attacks. We employed adjusted weighted logistic regression models, weighted restricted cubic splines, subgroup and sensitivity analyses to assess the association between waist circumference and asthma attack. Results: The median age of all participants was 43 years, and the median waist circumference was 98.9 cm, with a median BMI was 28.50 kg/m Conclusion: Waist circumference is an independent predictor of asthma attacks. Our findings underscore the importance of waist circumference measurement in evaluating the risk of asthma attacks.
MeSH term(s)	Humans ; Male ; Asthma/epidemiology ; Female ; Adult ; Waist Circumference ; Cross-Sectional Studies ; Middle Aged ; United States/epidemiology ; Risk Factors ; Young Adult ; Logistic Models
Language	English
Publishing date	2024-04-25
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2041338-5
ISSN	1471-2458 ; 1471-2458
ISSN (online)	1471-2458
ISSN	1471-2458
DOI	10.1186/s12889-024-18656-x
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