29,862 results on '"Sun Li"'
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2. Food Image Classification Based on CBAM-Inception V3 Transfer Learning
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DU Hui-jiang, CUI Xiao-yi, WANG Yi-meng, and SUN Li-ping
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food image classification ,channel attention ,spatial attention ,cbam ,inceptionv3 ,transfer learning ,Food processing and manufacture ,TP368-456 ,Nutrition. Foods and food supply ,TX341-641 - Abstract
To improve the accuracy of automatic recognition and classification of food images, a classification model CBAM- InceptionV3 is proposed, which embeds the Convolutional Block Attention Module. The specific method is to split the Inception V3 model with ImageNet pre-trained weight parameters into blocks, embed CBAM modules after each Inception block, and reassemble them into a new model, embedding a total of 11 CBAM modules. This new model is used for transfer learning of Food-101 food image dataset padded and scaled to 299 pixels in both length and width, with the highest accuracy of 82.01%. Compared with the original Inception V3 model, the CBAM module can effectively improve the model's feature extraction and classification capabilities. At the same time, transfer learning can significantly improve the accuracy rate and shorten the training time compared with the training from scratch. Compared with several other mainstream convolutional neural network models, the results show that this new model has higher recognition accuracy and can provide strong support for food image classification and recognition.
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- 2024
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3. Peripheral serum iTRAQ-based proteomic characteristics of carbon tetrachloride-induced acute liver injury in Macaca fascicularis
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Miao Yufa, Chen Dongmei, Li Wei, Li Shuangxing, Sun Li, and Geng Xingchao
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Macaca fascicularis ,Carbon tetrachloride ,Acute liver injury ,Proteomics ,ITRAQ ,LC-MS/MS ,Toxicology. Poisons ,RA1190-1270 - Abstract
Carbon tetrachloride (CCl4) is a potent chemical compound that can induce liver cells necrosis. The purpose of this study was to evaluate the hepatic toxicity of CCl4 exposure in Macaca fascicularis to explore the liver toxicity mechanism using a proteomic approach. One animal (no.F6) was intoxicated by oral gavage with 15 % CCl4 solution (10 mL/kg, dissolved in edible peanut oil), and was sacrificed at 48 h after CCl4 administration. Another blank control animal (no.F4) was sacrificed at the same time. The liver cells of the blank control animal showed normal hepatocyte morphology. However, the hepatocytes at 48 h time point after CCl4 administration showed necrosis and vacuolation histopathologically. The animal No.F7∼F12 and no.M7∼M12 were administrated by gavage with 15 % CCl4 solution (10 mL/kg, dissolved in edible peanut oil). Blood samples were collected before gavage administration, and served as the 0 h blank control samples. Then, blood samples were collected at 2 h, 48 h, 72 h and 168 h after CCl4 exposure, and served as the test samples. Routine biochemistry and immunical parameters were performed using biochemistry analyzer for all serum. Then the serum from male and female animals at 0 h, 2 h, 48 h, and 72 h was mixed, respectively. The peripheral serum proteins at 0 h, 2 h, 48 h, and 72 h were extracted, then the proteins were enzymatically hydrolyzed and the peptides were isotopic labeled by isobaric tags for relative and absolute quantification (iTRAQ). Finally, the UniProt Protein Sequence Library of Macaca fascicularis was queried to identify and compare the differential proteins between different time points. The results showed that, as traditional biomarkers of liver injury, alanine aminotransferases (ALT) and aspartate aminotransferases (AST) showed a typical time-effect curve. Compared with 0 h, there were totally 55, 323, and 158 differential proteins (P value 1.5, FDR
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- 2024
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4. Copper homeostasis in chronic kidney disease and its crosstalk with ferroptosis
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Huang Jiayi, Tong Ziyuan, Xu Tianhua, Zhang Mingyu, Ma Yutong, Wang Jingyu, Zhou Hongli, and Sun Li
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Copper Metabolism ,Chronic Kidney Disease ,Ferroptosis ,Cuproptosis ,Renal fibrosis ,Therapeutics. Pharmacology ,RM1-950 - Abstract
Chronic kidney disease (CKD) has become a global public health problem with high morbidity and mortality. Renal fibrosis can lead to end-stage renal disease (ESRD). However, there is still no effective treatment to prevent or delay the progression of CKD into ESRD. Therefore, exploring the pathogenesis of CKD is essential for preventing and treating CKD. There are a variety of trace elements in the human body that interact with each other within a complex regulatory network. Iron and copper are both vital trace elements in the body. They are critical for maintaining bodily functions, and the dysregulation of their metabolism can cause many diseases, including kidney disease. Ferroptosis is a new form of cell death characterized by iron accumulation and lipid peroxidation. Studies have shown that ferroptosis is closely related to kidney disease. However, the role of abnormal copper metabolism in kidney disease and its relationship with ferroptosis remains unclear. Here, our current knowledge regarding copper metabolism, its regulatory mechanism, and the role of abnormal copper metabolism in kidney diseases is summarized. In addition, we discuss the relationship between abnormal copper metabolism and ferroptosis to explore the possible pathogenesis and provide a potential therapeutic target for CKD.
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- 2024
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5. Research on computer network information image data processing based on machine learning
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Mei Haifeng and Sun Li
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convolutional neural network ,machine learning ,maximum global pooling ,global averaging ,loss function ,image data processing ,68t05 ,Mathematics ,QA1-939 - Abstract
In this paper, we aim to progress the efficiency and accuracy of information processing and security detection in computer networks by introducing convolutional neural networks in machine learning algorithms that are capable of multi-scaling from the channel attention module and spatial attention module in extracting image information. Global maximum pooling and global averaging are done for the feature maps generated by both modules to get the clearest feature maps by dimensionality reduction. The loss function is used to calculate the feature maps to reduce the data loss generated during data extraction and finally complete the image data processing. To verify the effectiveness of the proposed platform, network images containing different amounts of data are input into the platform, and the accuracy and loss of data extraction are obtained. The results show that the data extraction accuracy of the reduced platform is up to 100%, which is 6% higher than other platforms. The number of data losses in other platforms is more than twice of this paper, while the number of losses in this paper can be controlled within 5. It can be seen that convolutional neural network in machine learning improves the accuracy of data extraction from computer network information images and reduces the loss in data extraction.
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- 2024
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6. Evaluation of EEG, EMG and clinical semiology in the lateral location of bilateral extremities tonic seizures of focal epilepsy
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SUN Li, LI Fang, WANG Xiaomei, LIU Xingzhou
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bilateral extremities tonic seizures(bets) ,electrical-clinical semiology ,positioning ,lateralization ,Medicine - Abstract
Objective To evaluate the lateralizing value of electrical and clinical semiology in patients with bilateral extremities tonic seizure (BETS). Methods Ninety-two times of BETS were retrospectively observed from 26 patients with focal epilepsy, based on the surgery and follow-up results. The ictal electroencephalography(EEG),synchronous surface electromyography(EMG) and clinical symptoms were collected. Results The EEGs were correctly lateralizing in 59.8%(55/92)seizures.The accompanying lateral signs were correctly lateralized in 64.1%(59/92)seizures. The tonic joint movement lateralization was correct in 81.5%(75/92)seizures. The surface EMGs were 85.9%(79/92)correctly lateralized. The positivity rate of the latter two was higher than that of the first two, which was statistically significant. Conclusions Both the tonic joint movement and surface EMG have better lateralization value and guiding significance for preoperative evaluation of patients with epilepsy.
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- 2023
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7. Identifying circRNA-associated-ceRNA networks in juvenile spondyloarthropathies patients
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Wei Qijiao, Zhang Tao, Liu Haimei, Li Guomin, and Sun Li
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Juvenile spondyloarthropathies ,circRNA ,miRNA ,mRNA ,Competing endogenous RNAs network ,Bioinformatics analysis ,Pediatrics ,RJ1-570 ,Diseases of the musculoskeletal system ,RC925-935 - Abstract
Abstract Background Juvenile spondyloarthropathies (JSpA) are defined as a heterogeneous group of diseases that start before the age of 16. The study aimed to identify key genes and pathways that are influenced by circRNAs and to screen potential therapeutic agents for JSpA. The study involved the analysis of circRNA expression profiles, identification of circRNA-miRNA-mRNA regulatory networks, and functional annotation of differentially expressed genes. The results of the study may have provided insights into the molecular mechanisms underlying JSpA and potential therapeutic targets for this disease. Methods In this study, sequencing data of circRNA, miRNA, and mRNA were obtained from the GEO datasets. The data were then analyzed to identify candidates for constructing a circRNA-miRNA-mRNA network based on circRNA-miRNA interactions and miRNA-mRNA interactions. Functional enrichments of genes were performed using the DAVID database. A PPI network was constructed using the STRING database and visualized using Cytoscape software. The MCODE plugin app was used to explore hub genes in the PPI network. The expression changes in immune cells were assessed using the online CIBERSORT algorithm to obtain the proportion of various types of immune cells. Finally, the Connectivity Map L1000 platform was used to identify potential agents for JSpA treatment. Overall, this study aimed to provide a comprehensive understanding of the molecular mechanisms underlying JSpA and to identify potential therapeutic agents for this disease. Results A total of 225 differentially expressed circRNAs (DEcircRNAs), 23 differentially expressed miRNAs (DEmiRNAs) and 1324 differentially expressed mRNAs (DEmRNAs) were identified. We integrated 5 overlapped circRNAs, 7 miRNAs and 299 target mRNAs into a circRNA–miRNA–mRNA network. We next identified 10 hub genes based on the PPI network. KEGG pathway analysis revealed that the DEGs were mainly associated with JAK-STAT signal pathway. We found that neutrophils accounted for the majority of all enriched cells. In addition, we discovered several chemicals as potential treatment options for JSpA. Conclusions Through this bioinformatics analysis, we suggest a regulatory role for circRNAs in the pathogenesis and treatment of JSpA from the view of a competitive endogenous RNA (ceRNA) network.
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- 2023
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8. Clinical Features and Treatment Outcomes of Chronic Nonbacterial Osteomyelitis in Children: A Multicenter Study in China
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LIU Haimei, ZHANG Tianyu, MA Le, ZHANG Zhiyong, XU Meng, ZHANG Tao, XU Hong, TANG Xuemei, YANG Sirui, YU Haiguo, SONG Hongmei, and SUN Li
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children ,chronic nonbacterial osteomyelitis ,clinical features ,treatment outcomes ,Medicine - Abstract
Objective To investigate the clinical features and treatment outcomes of chronic non-bacterial osteomyelitis (CNO) from five tertiary pediatric rheumatology services in China and provide possible treatment options for clinicians. Methods In this multicenter, retrospective study, pediatric patients diagnosed with CNO in Children's Hospital of Fudan University, Peking Union Medical College Hospital, Children's Hospital of Nanjing Medical University, Children's Hospital of Chongqing Medical University and the First Hospital of Jilin University from March 2014 to August 2022 were included. According to the treatment plan, the patients were divided into nonsteroidal anti-inflammatory drugs (NSAID) group, traditional disease modifying anti-rheumatic drugs (DMARD) group, tumor necrosis factor inhibitor (TNF-i) group, bisphosphonate group, and bisphosphonate+TNF-i group, and physician global assessment score was used to evaluate the efficacy. Results Retrospective data analysis showed that the disease was more common in boy sthan girls(31 vs. 27), and the average age at onset of symptoms was 8.5±3.4 years, the mean age of diagnosis was 9.8±3.2 years, and the Median follow-up was 10.9(5.0, 30.1) months. A total of 46 cases (79.3%) were diagnosed in the last 3 years. Bone pain and / or arthralgia was the predominant symptom in 54(93.1%) patients followed by fever in 31(53.4%) patients. Raised inflammatory markers (ESR and CRP) were present in 87.9% and 77.6% of the patients. The most frequently affected bones were lower limb bones, including 42 cases of femur and 41 cases of tibia; 3 patients had compression fractures of the vertebrae at the time of diagnosis. Bone biopsy was conducted in 33 cases, and subacute or chronic osteomyelitis manifested with inflammatory cells infiltration were detected. The remission rate was not statistically different between treatment groups (P=0.562), with the remission rate at 11 months in the bisphosphonate+TNF-i group being 60.0%, 55.6% and 33.3% in the NSAID and DMARD groups respectively; 66.7% and 52.4% in the NSAID and TNF-i groups respectively at 12 months. A total of 40 patients were followed up for ≥6 months, with the remission rate of 81.3%. Conclusions Our multicenter study describes the features and outcomes of CNO patients in China. The characteristics of CNO children from multiple centers in China were lack of specificity. Bone pain and/or arthralgia were the main clinical symptoms, accompanied by fever, normal white blood cells, and raised inflammatory markers (CRP and/or ESR). Although anti-inflammatory treatment regimens were different, the efficacy of the treatment groups was similar. Anti-inflammatory therapy is currently the first choice.
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- 2023
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9. Clinical Features of Childhood Behçet 's Disease Like Trisomy 8: A Summary of 19 Cases
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ZHAO Wanwen, LIU Haimei, ZHANG Tianyu, YANG Sirui, SUN Li, and SONG Hongmei
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behçet's disease ,trisomy 8 ,pediatrics ,myelodysplastic syndrome ,Medicine - Abstract
Objective The clinical characteristics of children with Behçet's disease like trisomy 8 (T8-BD) diagnosed and treated in multi-centers were summarized, so as to improve the understanding and treatment ability of clinicians. Methods Clinical data of children with T8-BD who were hospitalized in the First Hospital of Jilin University, Children's Hospital of Fudan University and Peking Union Medical College Hospital from January 2016 to June 2022 were retrospectively collected, and then based on the literature, to summarize their general data, symptoms and signs, auxiliary examination results, and treatment and prognosis. Results A total of 6 children with T8-BD hospitalized in the First Hospital of Jilin University, Children's Hospital of Fudan University and Peking Union Medical College Hospital and 13 children with T8-BD recorded in 10 literature reports were included. Among the 19 children with T8-BD, there were 4 males (21.1%) and 15 females (78.9%). The median age of onset was 8 years (range: 0-16 years). The main clinical manifestations were oral ulcer (94.7%), vulvar ulcer (57.9%) and fever (57.9%, including 4 cases with periodic fever-like manifestations). There were 14 cases (73.7%) of malignant hematologic diseases, 9 cases (47.4%) of digestive tract lesions, 7 cases (36.8%) of skin lesions, and 1 case (5.3%) of cerebrospinal fluid pressure elevation. There were 7 cases (36.8%) of abnormal development, including 5 cases of developmental delay, 3 cases of deep folds, 3 cases of joint deformity, 1 case of special facial appearance, 1 case of intellectual impairment, and 1 case of agenesis of corpus callosum. Auxiliary examination showed hemocytopenia in 11 cases (57.9%); C-reactive protein increase in 11 cases (57.9%), and erythrocyte sedimentation rate increase in 9 cases (47.4%). In terms of treatment, 11 cases (57.9%) were treated with glucocorticoid, 9 cases (47.4%) with traditional immunosuppressant, 6 cases (31.6%) with biological agents, 6 cases (31.6%) with hematopoietic stem cell transplantation and 3 cases (15.8%) with chemical agents. In terms of prognosis, 4 cases (21.1%) died, all of which were complicated with hematologic malignancies. Conclusions The common clinical symptoms of T8-BD are oral ulcers, vulvar ulcers and fever, which can be combined with digestive tract lesions, skin lesions, hematologic malignancies and developmental abnormalities. However, some children are accompanied by other atypical manifestations at the onset of the disease, to which clinicians should pay attention to identify. Overall, the prognosis of children with T8-BD is reasonable, but patients with hematologic malignancies have poor response to immunosuppressive therapy and increased risk of death.
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- 2023
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10. Influence of heterogeneity on fluid property variations in carbonate reservoirs with multistage hydrocarbon accumulation: A case study of the Khasib formation, Cretaceous, AB oilfield, southern Iraq
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Wang Qiang, Wen Tao, Li Hongxi, Zeng Xinyao, Wang Xingzhi, Xin Jun, Sun Li, Wang Chunpu, and Zhou Yuezong
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middle east ,carbonate reservoir heterogeneity ,heavy oil ,pore-throat structure ,fluid distribution ,hydrocarbon accumulation ,Geology ,QE1-996.5 - Abstract
The fluid distribution is considerably influenced by the reservoir homogeneity. This study analyzes carbonate reservoir heterogeneity and hydrocarbon accumulation processes in the Khasib reservoirs in AB oilfield in the Middle East to discuss factors controlling the distribution of fluid and the effects of this distribution on the productivity of single wells. The Khasib reservoirs in the AB oilfield show uniform vertical distributions, with a large difference in the longitudinal pore throats, and the upper part of the reservoir is better than the lower one. Because the hydrocarbon accumulation is multiphasic, the heterogeneity of crude oil is based on whether traps are formed in the early or late stage of source rock formation during accumulation. Moreover, the longitudinal physical differences in crude oil properties are mainly attributed to the longitudinal differences in the pore throats. The difference in the pore throat and physical properties of crude oil affords differences in the productivity of horizontal wells in different subzones.
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- 2022
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11. Finite element analysis of box grid magnetic iron-separator and its application in milk powder production
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CHENG Jian-bo, CHEN Bao-ku, LI Hui, GUO Lin, WANG Yan, and SUN Li-rui
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box grid magnetic iron-separator ,milk powder ,finite element analysis ,design scheme ,interception rate ,Food processing and manufacture ,TP368-456 - Abstract
Objective: The optimal design scheme of box grid magnetic iron-separator in milk powder production process was explored. Methods: In this study, the working principle of the box grid magnetic iron-separator was explored by using the finite element simulation analysis method under real production conditions in a fully simulated milk powder plant. Through the single factor test, the effects of material drop height, the type of metal foreign matter, the field strength, and the net distance of the magnetic bar on the effective interception rate of the box grid magnetic iron-separator were explored, and the design solution was optimized by using matrix analysis. Results: Assuming that the minimum acceptable standard is an effective interception rate greater than 80% for cast iron, 304 stainless steel and 316 stainless steel, the critical design conditions are as follows: ① When the magnetic field strength of the magnetic bar is 1.0 T, the drop height should be less than 100 mm, the number of layers of the magnetic bar should be greater than or equal to 6, and the clearance of the bar magnet is 25 mm. ② When the magnetic field strength of the magnetic bar is 1.4 T, if the falling height of the material is less than 100 mm, the number of layers of the magnetic bar should be greater than or equal to 4, and the clearance of the bar magnet is 25 mm; If the falling height of the material is between 100 and 300 mm, then the number of magnetic rod layers should be greater than 6, and the clearance of the bar magnet is 25 mm. Conclusion: The research results have industrial application value for milk powder and other powdered food materials, such as protein-based raw materials, powdered fats and oils, starch, food additives, etc.
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- 2023
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12. Design of 400 Gbit/s QSFP-DD SR8 Optical Transceiver Module
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PENG Jia-hui, SUN Li-ping, FU Yong-an, ZHANG Er-kang, ZHANG De-ling, and NI Peng-yuan
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dater center ,optical communication ,400 Gbit/s optical module ,simulation of light path ,return loss ,Applied optics. Photonics ,TA1501-1820 - Abstract
With the full deployment of 5th generation mobile communication network, the optical communication industry has entered the stage of comprehensive and rapid development. According to the demand of data center optical module market, the optical module will develop to high speed and low price in the future. The 400 Gbit/s Quad Small Form Factor Pluggable-Double Density (QSFP-DD) studied in this paper is based on the theory of near Gauss Beam. The optical path is designed and simulated by ZEMAX software, and the spherical parameters are optimized by the optimization function. The coupling efficiency is 74.8%, and the coupling efficiency under different offset is analyzed to get the error range. After analyzing the Fresnel reflection of the contact surface, and comparing the performance of the device under different grinding angles and the high-temperature fiber transmission test of the module, an oblique 8 ° for adaptation is selected. According to the requirements of the protocol, the optical design of this paper with 8 ° angle optical fiber can meet the requirements of the use of the scene.
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- 2022
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13. The structure design of mobile charging piles
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Wu Zhongming, Wang Lanxin, Lu Junfeng, and Sun Li
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mobile charging piles ,structure design ,charging demand ,engineering practice ,Physics ,QC1-999 - Abstract
The simple instalment of mobile charging piles benefits for its convenient layout, while dynamic arrangements of those charging piles through mobile mode make up for the insufficient number of fixed charging piles, which meets the growing charging demand under the increasing popularity of electric vehicles. According to the application requirements of mobile charging piles, CATIA software was used to model the structure, of which strength and reliability were analysed under four load conditions. Our results have demonstrated that the maximum deformation value of the structure is 3.07 mm, and the maximum stress is 134.41 MPa, which is within the safety range of the selected materials. In addition, the gravity centre of the charging pile is located at the bottom of the structure, and thus the stability meets the requirements. Taken together, our research provided a beneficial reference for future engineering practice.
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- 2022
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14. Repeated partial splenic artery embolization for hypersplenism improves platelet count
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Tan Youwen, Wang Jiamin, Sun Li, and Ye Yun
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partial splenic embolization ,platelet count ,side effect ,splenic abscess ,liver function ,Medicine - Abstract
Splenic embolization is a minimally invasive alternative to splenectomy for the treatment of hypersplenism. This was a retrospective study of 101 patients with hypersplenism caused by cirrhosis who were treated with splenic embolization and for whom 6 months of follow-up data were available. Of these patients, 65 underwent partial splenic artery embolization (PSE), including 23 who underwent repeated PSE (RPSE). The incidence of abdominal pain was significantly higher in the PSE group than in the total splenic artery embolization (TSE) group (P < 0.001), and its duration was also longer in the PSE group (P = 0.003). Biochemical markers of liver function were compared before and after the operation; aminotransferase indices decreased (alanine aminotransferase, aspartate aminotransferase, and alkaline phosphatase), total bilirubin increased slightly, and albumin and prealbumin decreased after the operation (all P < 0.001). Platelet (PLT) counts began to increase at 1 week postoperatively, peaked at 1 month postoperatively, and then decreased gradually. There was no significant intergroup (PSE and TSE) difference at any time point (1 day, 1 week, 1 month, and 6 months postoperatively, P > 0.05). There was a significant intergroup (PSE and RPSE) difference in the mean postoperative change in PLT count (P = 0.45). Splenic embolization can improve the inflammatory indicators of liver function. Performing PSE twice or more improves the PLT counts.
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- 2022
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15. Mechanical properties and nugget evolution in resistance spot welding of Zn–Al–Mg galvanized DC51D steel
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Zhao Linlin, Lu Yue, Xiong Ziliu, Sun Li, Qi Jianjun, Yuan Xinjian, and Peng Jian
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steel ,rsw welding ,microstructure ,coating evolution ,nugget formation ,Technology ,Chemical technology ,TP1-1185 ,Chemicals: Manufacture, use, etc. ,TP200-248 - Abstract
Zn–Al–Mg coating galvanized steel in resistance spot welded (RSW) in different configurations of DC51D was investigated to illustrate the nugget evolution process and mechanical properties of the joints. Results show that the microstructure of welded joints can be divided into nugget zone (FZ), heat-affected zone (HAZ), and base metal zone (BM). FZ was composed of lath martensite. The average hardness value of the weld joint was 110 HV0.2 while the FZ was up to 300 HV0.2 due to the formation of lath martensite. The failure modes can be divided into interface fracture (IF) and pull-out fracture occurred (PF) under different welding parameters, in which shear dimples showed had a typical plastic fracture morphology. The best range for welding parameters was found to be 12–18 cycles in which the nugget diameter reached 5.5 mm. The process of nugget evolution in HAZ and FZ was discussed.
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- 2023
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16. Identification of Metabolites of Turmeric Extract in Rats by UPLC-Q-Extractive Orbitrap MS
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WANG Yuan, LIU Mei-juan, WANG Hongjin, YIN Guang-ling, LI Yan, ZHANG Xu-guang, and SUN Li-xin
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turmeric extract ,ultra high performance liquid chromatography quadrupole extractive orbitrap mass spectrometry (uplc-q-extrative-orbitrap ms) ,metabolites ,Chemistry ,QD1-999 - Abstract
Turmeric extract is a β-diketone polyphenol extract isolated from theCurcuma longa L, a plant of the genus Curcuma of the Zingberaceae family. It mainly includes curcumin (CUR), demethoxycurcumin (DMC), and bisdemethoxycurcumin (BDMC). It is a commonly used food, natural pigment and cosmetic additive, which has various pharmacological activities, such as hypolipidemia, antioxidant, anti-inflammation, antiviral and anti-Alzheimer's disease. However, poor stability and low bioavailability limit the clinical application of curcuminoids. Curcumin hydrogenated metabolites also have pharmacological activity, and they are more stable and bioavailable than curcumin. The metabolites of curcuminoids (CUR, DMC and BDMC) in turmeric extract in rats were identified. Turmeric extract was suspended in 0.5% carboxymethlcellulose sodium (CMC-Na). Healthy male Sprague Dawley (SD) rats in drug group were gavaged with a single dose of 1 703 mg/kg turmeric extract (approximately 480 mg/kg curcuminoids), and the rats in control group were given equal volume of 05% CMC-Na solution. And then, plasma at different time points was collected after oral gavage. Urine, faeces and bile were collected after oral gavage in rats within 12 h. Plasma were prepared by protein precipitation method, the urine, faeces and bile were extracted by methanol. The biological samples of faeces, urine, bile and plasma were analyzed by ultra high performance liquid chromatography-quadrupole extractive orbitrap mass spectrometry (UPLC-Q-Extractive MS) in negative ion mode. The accurate molecular weight, primary and secondary mass spectrometry information of metabolites in faeces, urine, bile and plasma were identified. As a result, a total of 59 metabolites (B1-W12) were identified. B3, B7, B8, B11, B12, B13, C3, D3, D5, D8, D10, W1, W2, W4, W5, W7 and W10 were new metabolites. W3/W6, W11/W12 and W12 were firstly found in plasma, faces and urine, respectively. The results showed that the main metabolic pathways of curcumin were glucuronidation, sulfation, reductive hydrogenation, oxidation, reduction, hydroxylation, dehydroxylation and their composite reactions. This method can provide a theoretical basis for the later screening of active metabolites of curcumin compounds.
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- 2022
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17. Dynamic millimeter-wave OAM beam generation through programmable metasurface
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Bai Xudong, Zhang Fuli, Sun Li, Cao Anjie, He Chong, Zhang Jin, and Zhu Weiren
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metasurface ,mmwave ,orbital angular momentum ,programmable ,reflective ,Physics ,QC1-999 - Abstract
Millimeter-wave (mmWave) and orbital angular momentum (OAM) multiplexing are two key technologies for modern wireless communications, where significant efforts have been devoted to combining these two technologies for extremely high channel capacities. Recently, programmable metasurfaces have been extensively studied for stimulating dynamic multi-mode OAM beams, owing to their ability of subtle dynamic modulation over electromagnetic waves in a digital manner. However, programmable metasurfaces for mmWave OAM stimulation are rarely mentioned, due to the requirement of extremely high processing precision for mmWave applications. In this paper, a programmable metasurface is presented to stimulate dynamic multi-mode mmWave vortex beams. The proposed metasurface is composed of electronically reconfigurable units, which is obtained through configuration integration of a PIN diode within each radiation patch for modulating the unit resonant property. Both low reflection losses and stabilized inverse phase states are obtained for the binary unit coding states within the operation band. Through modulating the real-time coding distribution on the metasurface by programmable bias circuit, the generation of mmWave OAM beams with mode numbers l = 0, l = +1, l = +2, and l = +3 are numerically designed and experimentally verified. Our study paves a new perspective for the cross amalgamation of both mmWave and multi-mode OAM technologies.
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- 2022
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18. Detection of Peel Puffing and Granulation in Citrus Based on Soft X-ray Imaging Technology
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XU Qian, CAI Jianrong, DU Can, SUN Li, and BAI Junwen
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soft x-ray imaging ,citrus ,image processing ,peel puffing ,granulation ,detection ,Agriculture (General) ,S1-972 ,Technology (General) ,T1-995 - Abstract
The internal quality of citrus is an important index for citrus grading, and the most common factors affecting the internal quality of citrus are peel puffing and granulation, which affect the fruit quality and lose the market value due to the large consumption of nutrients. In this study, a soft X-ray imaging device was developed, including a transmission device, a soft X-ray imaging device, a trigger device and a soft X-ray protection device, for the problem that traditional methods cannot detect citrus peel puffing and granulation efficiently and non-destructively. In this research, the detection parameters were determined according to the physical characteristics of wide peeled citrus, and the clarity, contrast and aberration rate of citrus images were used as the judging criteria. The best imaging parameters were determined by adjusting the parameters of the imaging device as follows: The tube voltage of X-ray source was 60 kV, the tube current was 1.3 mA, the integration time of line array detector was 5.5 ms, and the transmission speed of citrus conveyor belt was 10 cm/s. The aberrations in the column direction were detected by the circular hole metal plate, and the results showed that the transmission speed was stable and the aberrations in the column direction were negligible. The aberrations in the row direction ware detected by using the 70 mm stainless steel calibration sphere, and the projection aberration coefficients at different positions in the row direction were calculated, and the aberration correction model was established. The soft X-ray images of citrus were acquired under the above parameters, and Gaussian filtering was used to denoise the citrus images. The image enhancement algorithm was used to enhance the contrast of the denoised images. The fixed threshold segmentation method and morphological algorithm were fused to remove the background area, separate the flesh area and the peel area of the citrus images. Finally, the area percentage method was used to calculate the ratio of citrus flesh area to citrus fruit area to discriminate the degree of citrus peel puffing; the grayscale features of citrus fruit area were extracted to obtain the citrus withered area, and the ratio of citrus withered area to citrus flesh area was calculated to discriminate the degree of citrus granulation. Qingjiang Ponkan were taken as the experimental object, and the results showed that the overall recognition rate of the homemade soft X-ray imaging device were 96.2% and 86.9% for the peel puffing and granulation of Qingjiang Ponkan, respectively. The method proposed in this study may achieve nondestructive detection of peel puffing and granulation inside citrus.
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- 2021
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19. Research on high-temperature oxidation resistance, hot forming ability, and microstructure of Al–Si–Cu coating for 22MnB5 steel
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Xiong Ziliu, Lin Zhangguo, Qi Jianjun, Sun Li, Wu Guangxin, Kuang Shuang, and Zhou Guoping
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al–si–cu coating ,22mnb5 steel ,high-temperature oxidation resistance ,hot stamping ability ,Technology ,Chemical technology ,TP1-1185 ,Chemicals: Manufacture, use, etc. ,TP200-248 - Abstract
High-temperature oxidation resistance, hot formability, element distribution, and microstructure of Al-10% Si-(0.5–3.0%)Cu coating were investigated by means of glow discharge spectroscopy, optical microscope, scanning electron microscope, and energy-dispersive spectroscopy. Results show that the addition of Cu can increase high-temperature oxidation resistance above 950°C and improve hot formability so that no crack spreads into substrate steel as hot forming at 33.3% strain. Oxidation film structure is continual and compacting, and Si highly concentrates in the surface layer. The distribution of Cu has skin effect with peaking content 8.2% in the surface layer. After hot stamping, Al and Si diffuse into substrate steel, and Cu diffuses from inner to outer coating. Al–Si–Cu coating has smoother surface, straighter diffusion layer, and finer metal compound than Al–Si coating. Surface and diffusion layers are identified as aluminum oxide, Si-rich, and Cu phase and Al7SiFe2, Al3Fe, and CuAl3, respectively. Al-rich phase and the metal compound are composed of α-Al dissolving Fe, Si, and Cu and Al–Si matrix, Cu3Al, respectively.
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- 2021
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20. Case report: A case report and literature review about Pathological transformation of lung adenosquamous cell carcinoma
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Liang Ge-ge, Geng Cuicui, Li Leiqiang, Tian Yongcang, Ma Jiangang, Ou Yiwen, and Sun Li-zhe
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cardiac metastasis ,lung cancer ,pathological transformation ,case report ,EGFR-TKI ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
BackgroundLung adenosquamous carcinoma is a relatively rare pathological type in lung cancer. The incidence of gene mutation is lower than that of lung adenocarcinoma. However, the cases of pathological transformation after targeted treatment of EGFR gene mutation are more rare.Case introductionA 55 year old female was diagnosed with lung cancer and underwent surgical treatment.The pathology suggested adenosquamous cell carcinoma. Genetic test was EGFR-L858R. After surgery, she was treated with gefitinib targeted therapy. After 2 years of surgery, she developed brain metastasis. surgery was performed again. The pathology suggested squamous cell carcinoma. She continued to take gefitinib targeted therapy orally. After one month later since brain metastasis, she was found to have heart cavity metastasis and surgery was performed for the third time. Besides, the pathology suggested adenosquamous cell carcinoma. Genetic test was EGFR-p E746_ A750del, T790M (-), and we replaced with the second-generation EGFR-TKI afatinib targeted therapy. Up to now, no recurrence or metastasis has been found.ConclusionWe now report a rare case of lung adenosquamous carcinoma with pathological transformation during targeted therapy, which is intended to provide therapeutic ideas for the treatment of lung adenosquamous carcinoma in clinical practice. In addition, we reviewed previously reported tumor heterogeneity in the literature.
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- 2022
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21. Targeting integrin αvβ3 by a rationally designed protein for chronic liver disease treatment
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Ravi Chakra Turaga, Ganesh Satyanarayana, Malvika Sharma, Jenny J. Yang, Shiyuan Wang, Chunfeng Liu, Sun Li, Hua Yang, Hans Grossniklaus, Alton Brad Farris, Jordi Gracia-Sancho, and Zhi-Ren Liu
- Subjects
Biology (General) ,QH301-705.5 - Abstract
As activated hepatic stellate cells and liver sinusoidal endothelial cells express high levels of integrin α v β3, Turaga et al. present a strategy for treatment of chronic liver disease using their rationally designed protein (ProAgio) which targets integrin α v β3. They find that ProAgio –mediated apoptosis of these disease-associated cells reverses liver fibrosis and ameliorates intrahepatic vascular resistance in a mouse model
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- 2021
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22. On the rheological properties of multi-walled carbon nano-polyvinylpyrrolidone/silicon-based shear thickening fluid
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Sun Li, Wang Geng, Zhang Chunwei, Jin Qiao, and Song Yansheng
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shear thickening fluid ,multi-walled carbon nanotubes ,polyvinylpyrrolidone ,silica ,rheological properties ,Technology ,Chemical technology ,TP1-1185 ,Physical and theoretical chemistry ,QD450-801 - Abstract
This study examines the rheological properties of shear thickening fluid (STF) enhanced by additives such as multi-walled carbon nanotubes (MWCNTs), polyvinylpyrrolidone (PVP), and nano-silica (SiO2) at different mass fraction ratios. The rheological properties of the liquid (MWCNTs–PVP/SiO2–STF) and the effect of the rheological properties of the STF under different plate spacing of the rheometer were investigated. The optimal mass fraction mixing ratio was also studied. The MWCNTs–PVP/SiO2–STF system with different PVP mass fractions was fabricated using ultrasonic technology and the mechanical stirring method. Then, the steady-state rheological test of the MWCNTs–PVP/SiO2–STF system was carried out with the aid of the rheometer facility. Dynamic rheological and temperature sensitivity tests on the MWCNTs–PVP/SiO2–STF system with 0.1 and 0.15% PVP mass fractions were performed. The rheological test results show that the MWCNTs–PVP/SiO2–STF system has a significant shear thickening effect when the PVP mass fraction is increased from 0 to 0.15%. When the PVP mass fraction is 0.1% and the plate spacing is 1 mm, the system exhibits the best shear thickening performance. This is based on the following facts: the viscosity can be achieved as 216.75 Pa s; the maximum energy storage and energy consumption capabilities can be observed. As a result, PVP can significantly enhance the shear thickening performance of the MWCNTs/SiO2–STF system.
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- 2021
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23. DAMe: Personalized Federated Social Event Detection with Dual Aggregation Mechanism
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Yu, Xiaoyan, Wei, Yifan, Li, Pu, Zhou, Shuaishuai, Peng, Hao, Sun, Li, Zhu, Liehuang, and Yu, Philip S.
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Computer Science - Computation and Language ,Computer Science - Artificial Intelligence - Abstract
Training social event detection models through federated learning (FedSED) aims to improve participants' performance on the task. However, existing federated learning paradigms are inadequate for achieving FedSED's objective and exhibit limitations in handling the inherent heterogeneity in social data. This paper proposes a personalized federated learning framework with a dual aggregation mechanism for social event detection, namely DAMe. We present a novel local aggregation strategy utilizing Bayesian optimization to incorporate global knowledge while retaining local characteristics. Moreover, we introduce a global aggregation strategy to provide clients with maximum external knowledge of their preferences. In addition, we incorporate a global-local event-centric constraint to prevent local overfitting and ``client-drift''. Experiments within a realistic simulation of a natural federated setting, utilizing six social event datasets spanning six languages and two social media platforms, along with an ablation study, have demonstrated the effectiveness of the proposed framework. Further robustness analyses have shown that DAMe is resistant to injection attacks., Comment: CIKM 2024
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- 2024
24. Multivariate Time-Series Anomaly Detection based on Enhancing Graph Attention Networks with Topological Analysis
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Liu, Zhe, Huang, Xiang, Zhang, Jingyun, Hao, Zhifeng, Sun, Li, and Peng, Hao
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Computer Science - Machine Learning ,Computer Science - Artificial Intelligence - Abstract
Unsupervised anomaly detection in time series is essential in industrial applications, as it significantly reduces the need for manual intervention. Multivariate time series pose a complex challenge due to their feature and temporal dimensions. Traditional methods use Graph Neural Networks (GNNs) or Transformers to analyze spatial while RNNs to model temporal dependencies. These methods focus narrowly on one dimension or engage in coarse-grained feature extraction, which can be inadequate for large datasets characterized by intricate relationships and dynamic changes. This paper introduces a novel temporal model built on an enhanced Graph Attention Network (GAT) for multivariate time series anomaly detection called TopoGDN. Our model analyzes both time and feature dimensions from a fine-grained perspective. First, we introduce a multi-scale temporal convolution module to extract detailed temporal features. Additionally, we present an augmented GAT to manage complex inter-feature dependencies, which incorporates graph topology into node features across multiple scales, a versatile, plug-and-play enhancement that significantly boosts the performance of GAT. Our experimental results confirm that our approach surpasses the baseline models on four datasets, demonstrating its potential for widespread application in fields requiring robust anomaly detection. The code is available at https://github.com/ljj-cyber/TopoGDN., Comment: 10 pages, 5 figures, to be published in CIKM 2024
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- 2024
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25. On the Evaluation Consistency of Attribution-based Explanations
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Duan, Jiarui, Li, Haoling, Zhang, Haofei, Jiang, Hao, Xue, Mengqi, Sun, Li, Song, Mingli, and Song, Jie
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Computer Science - Computer Vision and Pattern Recognition - Abstract
Attribution-based explanations are garnering increasing attention recently and have emerged as the predominant approach towards \textit{eXplanable Artificial Intelligence}~(XAI). However, the absence of consistent configurations and systematic investigations in prior literature impedes comprehensive evaluations of existing methodologies. In this work, we introduce {Meta-Rank}, an open platform for benchmarking attribution methods in the image domain. Presently, Meta-Rank assesses eight exemplary attribution methods using six renowned model architectures on four diverse datasets, employing both the \textit{Most Relevant First} (MoRF) and \textit{Least Relevant First} (LeRF) evaluation protocols. Through extensive experimentation, our benchmark reveals three insights in attribution evaluation endeavors: 1) evaluating attribution methods under disparate settings can yield divergent performance rankings; 2) although inconsistent across numerous cases, the performance rankings exhibit remarkable consistency across distinct checkpoints along the same training trajectory; 3) prior attempts at consistent evaluation fare no better than baselines when extended to more heterogeneous models and datasets. Our findings underscore the necessity for future research in this domain to conduct rigorous evaluations encompassing a broader range of models and datasets, and to reassess the assumptions underlying the empirical success of different attribution methods. Our code is publicly available at \url{https://github.com/TreeThree-R/Meta-Rank}., Comment: Accepted as a conference paper by ECCV 2024
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- 2024
26. Table-Filling via Mean Teacher for Cross-domain Aspect Sentiment Triplet Extraction
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Peng, Kun, Jiang, Lei, Li, Qian, Li, Haoran, Yu, Xiaoyan, Sun, Li, Sun, Shuo, Bi, Yanxian, and Peng, Hao
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Computer Science - Computation and Language ,Computer Science - Artificial Intelligence - Abstract
Cross-domain Aspect Sentiment Triplet Extraction (ASTE) aims to extract fine-grained sentiment elements from target domain sentences by leveraging the knowledge acquired from the source domain. Due to the absence of labeled data in the target domain, recent studies tend to rely on pre-trained language models to generate large amounts of synthetic data for training purposes. However, these approaches entail additional computational costs associated with the generation process. Different from them, we discover a striking resemblance between table-filling methods in ASTE and two-stage Object Detection (OD) in computer vision, which inspires us to revisit the cross-domain ASTE task and approach it from an OD standpoint. This allows the model to benefit from the OD extraction paradigm and region-level alignment. Building upon this premise, we propose a novel method named \textbf{T}able-\textbf{F}illing via \textbf{M}ean \textbf{T}eacher (TFMT). Specifically, the table-filling methods encode the sentence into a 2D table to detect word relations, while TFMT treats the table as a feature map and utilizes a region consistency to enhance the quality of those generated pseudo labels. Additionally, considering the existence of the domain gap, a cross-domain consistency based on Maximum Mean Discrepancy is designed to alleviate domain shift problems. Our method achieves state-of-the-art performance with minimal parameters and computational costs, making it a strong baseline for cross-domain ASTE., Comment: Accepted by CIKM2024
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- 2024
27. Adaptive Differentially Private Structural Entropy Minimization for Unsupervised Social Event Detection
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Yang, Zhiwei, Wei, Yuecen, Li, Haoran, Li, Qian, Jiang, Lei, Sun, Li, Yu, Xiaoyan, Hu, Chunming, and Peng, Hao
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Computer Science - Social and Information Networks ,Computer Science - Artificial Intelligence - Abstract
Social event detection refers to extracting relevant message clusters from social media data streams to represent specific events in the real world. Social event detection is important in numerous areas, such as opinion analysis, social safety, and decision-making. Most current methods are supervised and require access to large amounts of data. These methods need prior knowledge of the events and carry a high risk of leaking sensitive information in the messages, making them less applicable in open-world settings. Therefore, conducting unsupervised detection while fully utilizing the rich information in the messages and protecting data privacy remains a significant challenge. To this end, we propose a novel social event detection framework, ADP-SEMEvent, an unsupervised social event detection method that prioritizes privacy. Specifically, ADP-SEMEvent is divided into two stages, i.e., the construction stage of the private message graph and the clustering stage of the private message graph. In the first stage, an adaptive differential privacy approach is used to construct a private message graph. In this process, our method can adaptively apply differential privacy based on the events occurring each day in an open environment to maximize the use of the privacy budget. In the second stage, to address the reduction in data utility caused by noise, a novel 2-dimensional structural entropy minimization algorithm based on optimal subgraphs is used to detect events in the message graph. The highlight of this process is unsupervised and does not compromise differential privacy. Extensive experiments on two public datasets demonstrate that ADP-SEMEvent can achieve detection performance comparable to state-of-the-art methods while maintaining reasonable privacy budget parameters., Comment: Accepted to ACM CIKM 2024
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- 2024
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28. Geodesics on the Kahler cone of the Heisenberg group
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Kim, Joonhyung, Platis, Ioannis D., and Sun, Li-Jie
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Mathematics - Geometric Topology ,53C22, 32Q15 - Abstract
In this paper we describe the geodesics on the K\"ahler cone of the Heisenberg group. Furthermore we also prove that this is not a complete manifold.
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- 2024
29. The Intelligent Bi-directional Relaying Communication for Edge Intelligence based Industrial IoT Networks
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Jun Liu, Yuwei Zhang, Jing Wang, Tao Cui, Lin Zhang, Chao Li, Kai Chen, Huang Huang, Xuan Zhou, Wei Zhou, Zhao Wang, Sun Li, Suili Feng, Dongqing Xie, Dahua Fan, Jianghong Ou, Jiangtao Ou, Yun Li, Haige Xiang, Kaimeno Dube, Abbarbas Muazu, Nakilavai Rono, and Yajuan Tang
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Outage probability ,two-way relay network (TWRN) ,relay selection ,symbol error rate ,Computer engineering. Computer hardware ,TK7885-7895 ,Systems engineering ,TA168 - Abstract
Within this specific record, our group study the two-way interact body (TWRN) that has a number of amplify-and-forward (AF) relays. In that, the best one is actually really got to help the info communication among sources. A interact option is actually really according to the obsolete channel problem information (CSI) in addition to our group analyze its own very personal effect on the system effectiveness in the Rayleigh fading atmospheres. Especially, we extremely preliminary acquire a restricted decreased connected for the outage opportunity and afterward current an asymptotic assessment for greater signal-to-noise ratio (SNR). Our group extra acquire a restricted decreased connected along with an asymptotic result on the authorize error cost (SER). Originating got via these results, our group easily quickly obtain that body system range order remain at unity offered that the CSI is actually really obsolete. Relative results reveal the rigidness on the effectiveness bounds along with the effects of obsolete interact option on the body system effectiveness. Simulation outcomes are likewise offered to corroborate the scholastic evaluation.
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- 2022
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30. Deepening the application of appropriate technology of Traditional Chinese Medicine and improving the competence in nursing practice of breast and thyroid surgery (深耕中医适宜技术 提升甲乳专科护理能力)
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SUN Li (孙莉), NI Ting (倪婷), and ZHANG Min (张敏)
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traditional chinese medicine appropriate technology ,thyroid ,breast ,specific nursing ,nursing of traditional chinese medicine ,nursing competence ,中医适宜技术 ,甲状腺 ,乳腺 ,专科护理 ,中医护理 ,护理能力 ,Nursing ,RT1-120 - Abstract
The appropriate technology of Traditional Chinese Medicine (TCM) is one of the important methods of TCM treatment. This paper summarized the exploration, application and promotion of the TCM appropriate technology in nursing practice of breast and thyroid surgery, and discussed its role in improving specific nursing competence and the inheritance of TCM. (中医适宜技术是中医药治疗的重要方法之一。本文论述了中医适宜技术在甲状腺和乳腺外科的发掘、应用和推广, 探讨其在提升甲乳专科护理能力和中医传承中的作用。)
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- 2022
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31. Photothermal-assisted activation of peroxymonosulfate with FeOx nanoparticles anchored on carbon nitride for degradation of RhB
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SUN Li-juan, SU Yi-ping, ZHAO Zhi-cheng, WEI Qi-liang, LI Ying-kai, and LI Shun
- Subjects
iron oxide ,photothermal-assisted activation ,peroxymonosulfate ,fenton-like reaction ,dye removal ,degradation ,Materials of engineering and construction. Mechanics of materials ,TA401-492 - Abstract
Photothermal-assisted activation of peroxymonosulfate (PMS) is an effective way to promote the advanced catalytic oxidation performance. However, leaching of metal ions is a drawback for currently used metal-based catalysts, which limits their applications for water treatment. Therefore, it is important to develop high-efficient non-metal catalysts for photothermal-assisted PMS activation. Carbon nitride(CN) loaded with FeOx nanoparticles (FeOx/CN) were synthesized by the gelation-pyrolysis method. The as-prepared FeOx/CN catalysts were used to eliminate Rhodamine B (RhB) using the Fenton-like reaction by photothermal-assisted PMS activation. The crystalline structures, morphologies and light adsorption properties of the obtained nanocomposites were analyzed by using X-ray diffractometer, scanning electron microscopy, transmission electron microscopy, X-ray photoelectron spectroscopy, N2 adsorption-desorption and UV-vis spectrophotometer. The results show that the removal rate of RhB by CN/FeOx/PMS system can reach 98.0% under the condition of near neutral (pH=6) and photothermal(40 ℃ water bath and λ>420 nm visible-light irradiation) synergistic auxiliary reaction for 30 min. The trapping experiments demonstrate that holes (h+) and hydroxyl radicals (OH·) are major active species during the PMS activation process.
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- 2021
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32. Effect of Growing Season Drought and Flood on Yield of Spring Maize in Three Northeast Provinces of China
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WANG Weidan, SUN Li, PEI Zhiyuan, MA Shangjie, CHEN Yuanyuan, SUN Juanying, and DONG Mo
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drought ,flood ,standardized precipitation evapotranspiration index ,yield ,spring maize ,three northeast provinces of china ,Agriculture (General) ,S1-972 ,Technology (General) ,T1-995 - Abstract
With the change of global climate, extreme weather events such as drought and flood disasters occur frequently. These have a great impact on crop yields. As an important main grain producing area, the impact of drought and flood on the agricultural production of the three provinces in three northeast provinces of China cannot be ignored. Based on historic meteorological data such as daily precipitation, maximum temperature, minimum temperature, 2 m average wind speed, sunshine hours and relative humidity, etc., the standardized precipitation index (SPI) and standardized precipitation evapotranspiration index (SPEI) during 1988-2017 in three northeast provinces of China were calculated with different time scales. Through comparing with characterization of drought and flood disasters in history, SPEI was chosen to judge drought and flood in the growth season of spring maize. With the purpose of evaluating the effects of drought and flood on spring maize yield, based on the distance correlation analysis method, the index of reasonable time scale and key month were selected to analyze the relationship between the index and the relative meteorological yield of spring maize. The relationship between water conditions at different growth stages and the yield was also analyzed. The results showed that: (1) both SPI and SPEI could represent the drought and flood conditions in three northeast provinces of China. Compared with SPI, SPEI had higher correlation with the drought and flood disaster rate, and SPEI was more advantageous in characterizing the drought and flood conditions in the study area; (2) relative meteorological yield was significantly correlated with drought disaster rate in all three provinces (P
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- 2021
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33. Vibration analysis of a sandwich cylindrical shell in hygrothermal environment
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Zhang Chunwei, Jin Qiao, Song Yansheng, Wang Jingli, Sun Li, Liu Haicheng, Dun Limin, Tai He, Yuan Xiaodong, Xiao Hongmei, Zhu Limeng, and Guo Songlin
- Subjects
vibration ,sandwich cylindrical shell ,porous materials ,graphene nanoplatelets ,hygrothermal environment ,sinusoidal shear deformation ,Technology ,Chemical technology ,TP1-1185 ,Physical and theoretical chemistry ,QD450-801 - Abstract
The sandwich structures are three- or multilayered structures such that their mechanical properties are better than each single layer. In the current research, a three-layered cylindrical shell including a functionally graded porous core and two reinforced nanocomposite face sheets resting on the Pasternak foundation is used as model to provide a comprehensive understanding of vibrational behavior of such structures. The core is made of limestone, while the epoxy is utilized as the top and bottom layers’ matrix phase and also it is reinforced by the graphene nanoplatelets (GNPs). The pattern of the GNPs dispersion and the pores distribution play a crucial role at the continuous change of the layers’ properties. The sinusoidal shear deformation shells theory and the Hamilton’s principle are employed to derive the equations of motion for the mentioned cylindrical sandwich shell. Ultimately, the impacts of the model’s geometry, foundation moduli, mode number, and deviatory radius on the vibrational behavior are investigated and discussed. It is revealed that the natural frequency and rotation angle of the sandwich shell are directly related. Moreover, mid-radius to thickness ratio enhancement results in the natural frequency reduction. The results of this study can be helpful for the future investigations in such a broad context. Furthermore, for the pipe factories current study can be effective at their designing procedure.
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- 2021
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34. Outage Probability Analysis for UAV-Aided Mobile Edge Computing Networks
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Jun Liu, Yuwei Zhang, Jing Wang, Tao Cui, Lin Zhang, Chao Li, Kai Chen, Sun Li, Sunli Feng, Dongqing Xie, Dahua Fan, Jianghong Ou, Yun Li, Haige Xiang, Kaimeno Dube, Abbarbas Muazu, Nakilavai Rono, Fusheng Zhu, Liming Chen, Wen Zhou, and Zhusong Liu
- Subjects
UAV ,mobile edge computing ,outage probability ,latency ,Computer engineering. Computer hardware ,TK7885-7895 ,Systems engineering ,TA168 - Abstract
This paper studies one typical mobile edge computing (MEC) system, where a single user has some intensively calculating tasks to be computed by M edge nodes (ENs) with much more powerful calculating capability. In particular, unmanned aerial vehicle (UAV) can act as the ENs due to its flexibility and high mobility in the deployment. For this system, we propose several EN selection criteria to improve the system whole performance of computation and communication. Specifically, criterion I selects the best EN based on maximizing the received signal-to-noise ratio (SNR) at the EN, criterion II performs the selection according to the most powerful calculating capability, while criterion III chooses one EN randomly. For each EN selection criterion, we perform the system performance evaluation by analyzing outage probability (OP) through deriving some analytical expressions. From these expressions, we can obtain some meaningful insights regarding how to design the MEC system. We finally perform some simulation results to demonstrate the effectiveness of the proposed MEC network. In particular, criterion I can exploit the full diversity order equal to M.
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- 2022
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35. Analysis of oxide scale thickness and pores position of HCM12A steel in supercritical water
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Sun Li and Yan Weiping
- Subjects
supercritical water ,hcm12a ,thickness ,oxide scale ,pores ,Technology ,Chemical technology ,TP1-1185 ,Chemicals: Manufacture, use, etc. ,TP200-248 - Abstract
More attention has been paid to the exfoliation of oxide scale on high-temperature heating surface of utility boiler. The oxidation mechanism of HCM12A steel in supercritical water is proposed and the growth of oxide film is simulated. The duplex scale contains an outer magnetite layer and an inner Cr-rich spinel layer. According to the data of Backhaus and Töpfer, the diffusion coefficient values of iron in magnetite layer are discussed and the function of R V, RI{R}_{\text{I}} for oxygen activity can be used for calculation of iron diffusion coefficients in Cr-rich spinel layer. Based on Wagner’s oxidation theory, the oxidation rate constants of HCM12A are calculated at 500 and 600°C in supercritical water, compared with experimental data of the relevant literatures. The oxygen activities at the interfaces of alloy/Cr-rich spinel oxide and magnetite/supercritical water are estimated. The simulation results of weight gain are matched with the test data. The iron diffusion mechanisms inside the magnetite layer and the Cr-rich spinel layer are analyzed. The iron diffusion coefficient at the interface of Cr-rich spinel/magnetite is discontinuous, while the oxygen activity is continuous in the whole double layer. The thickness of oxide scale on inner tube walls of the final superheater coils (T91) of a 600 MW supercritical boiler is calculated by using the calculation method provided by the paper. The modeling results, the measured data, and the calculation results by the method are compared. Accurate calculation of the thickness of the inner and outer oxide scales can provide a necessary basis for predicting the stress and exfoliation of oxide scales.
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- 2021
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36. Modulation of Cancer-Associated Fibrotic Stroma by An Integrin αvβ3 Targeting Protein for Pancreatic Cancer TreatmentSummary
- Author
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Ravi Chakra Turaga, Malvika Sharma, Falguni Mishra, Alyssa Krasinskas, Yi Yuan, Jenny J. Yang, Shiyuan Wang, Chunfeng Liu, Sun Li, and Zhi-Ren Liu
- Subjects
Pancreatic Cancer Treatment ,Pancreatic Stellate Cells ,Integrin αvβ3 ,Collagen ,Gemcitabine ,Diseases of the digestive system. Gastroenterology ,RC799-869 - Abstract
Background & Aims: Pancreatic ductal adenocarcinoma (PDAC) is resistant to most therapeutics owing to dense fibrotic stroma orchestrated by cancer-associated pancreatic stellate cells (CAPaSC). CAPaSC also support cancer cell growth, metastasis, and resistance to apoptosis. Currently, there is no effective therapy for PDAC that specifically targets CAPaSC. We previously reported a rationally designed protein, ProAgio, that targets integrin αvβ3 at a novel site and induces apoptosis in integrin αvβ3-expressing cells. Because both CAPaSC and angiogenic endothelial cells express high levels of integrin αvβ3, we aimed to analyze the effects of ProAgio in PDAC tumor. Methods: Expression of integrin αvβ3 was examined in both patient tissue and cultured cells. The effects of ProAgio on CAPaSC were analyzed using an apoptosis assay kit. The effects of ProAgio in PDAC tumor were studied in 3 murine tumor models: subcutaneous xenograft, genetic engineered (KrasG12D; p53R172H; Pdx1-Cre, GEM-KPC) mice, and an orthotopic KrasG12D; p53R172H; Pdx1-Cre (KPC) model. Results: ProAgio induces apoptosis in CAPaSC. ProAgio treatment significantly prolonged survival of a genetically engineered mouse–KPC and orthotopic KPC mice alone or in combination with gemcitabine (Gem). ProAgio specifically induced apoptosis in CAPaSC, resorbed collagen, and opened collapsed tumor vessels without an increase in angiogenesis in PDAC tumor, enabling drug delivery into the tumor. ProAgio decreased intratumoral insulin-like growth factor 1 levels as a result of depletion of CAPaSC and consequently decreased cytidine deaminase, a Gem metabolism enzyme in cancer cells, and thereby reduced resistance to Gem-induced apoptosis. Conclusions: Our study suggests that ProAgio is an effective PDAC treatment agent because it specifically depletes CAPaSC and eliminates tumor angiogenesis, thereby enhancing drug delivery and Gem efficacy in PDAC tumors.
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- 2021
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37. Acoustical routing based on diffraction inhibition in two-dimensional sonic crystal
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Zhang Ting, Du Qiang, Wo Chengwen, Sun Li, and Liu Xiaojun
- Subjects
diffraction inhibition ,sonic crystal ,acoustical routing ,integrated acoustical devices ,Physics ,QC1-999 - Abstract
Routing and guiding acoustic waves without diffraction broadening and backscattering losses is of great interest to the acoustic community. Here, we propose a diffraction-immune acoustical waveguide based on diffraction inhibition in 2D sonic crystals (SCs). Due to the flat equal-frequency contour, the propagating acoustic waves can be highly localized between two neighboring rows of SCs. A few integrated sonic circuit building blocks including arbitrary angle bends and power splitters are further designed and theoretically realized. The proposed SCs open up possibilities for the flexible control of acoustic waves and lead to applications in integrated acoustical devices.
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- 2023
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38. Circular RNA hsa_circ_0007121 regulates proliferation, migration, invasion, and epithelial–mesenchymal transition of trophoblast cells by miR-182-5p/PGF axis in preeclampsia
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Gai Shukun, Sun Li, Wang Huiying, and Yang Ping
- Subjects
pe ,hsa_circ_0007121 ,mir-182-5p, pgf ,Medicine - Abstract
Mounting evidence has revealed that abnormal expression of circular RNAs play pivotal roles in many human diseases including preeclampsia (PE). While human sapiens circular RNA 0007121 (hsa_circ_0007121) has been verified to be downregulated in human placental tissues, the underlying mechanisms were still unclear. This research aims to investigate the effect and underlying mechanisms of hsa_circ_0007121 in preeclampsia.
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- 2020
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39. Deep Federated Learning Based Convergence Analysis in Relaying-Aided MEC-IoT Networks
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Jun Liu, Tao Cui, Lin Zhang, Yuwei Zhang, Jing Wang, Chao Li, Kai Chen, Huang Huang, Xuan Zhou, Wei Zhou, Sun Li, Suili Feng, Dongqing Xie, Yun Li, Haige Xiang, Kaimeno Dube, Abbarbas Muazu, Nakilavai Rono, Wen Zhou, Fusheng Zhu, Liming Chen, Dan Deng, Zhao Wang, and Yajuan Tang
- Subjects
Engineering (General). Civil engineering (General) ,TA1-2040 - Abstract
Recently, deep federated learning has attracted much attention from researchers in the fields of wireless communications, where the relaying technique has been shown as a powerful technology to assist the wireless signals and enhance the transmission quality, which is very important to the development of mobile edge computing (MEC) based Internet of Things (IoT) networks. In a relaying-aided MEC-IoT system, it is of vital importance to deeply investigate the system signal-to-noise ratio (SNR) at the receiver side, as it mainly determines the system performance metrics, such as capacity (or achievable data rate), outage probability, and bit-error-rate (BER). To this end, we first investigate the instantaneous convergence error, by deeply studying the relationship between the instantaneous two-hop relaying channels. We then investigate the statistical convergence error, by performing the statistical expectation with respect to the two-hop relaying channels. We finally present some results to show that the analysis of the convergence error is effective. The work in this paper can provide some theoretical foundation for deep federated learning and computing networks.
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- 2022
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40. OD-DETR: Online Distillation for Stabilizing Training of Detection Transformer
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Wu, Shengjian, Sun, Li, and Li, Qingli
- Subjects
Computer Science - Computer Vision and Pattern Recognition - Abstract
DEtection TRansformer (DETR) becomes a dominant paradigm, mainly due to its common architecture with high accuracy and no post-processing. However, DETR suffers from unstable training dynamics. It consumes more data and epochs to converge compared with CNN-based detectors. This paper aims to stabilize DETR training through the online distillation. It utilizes a teacher model, accumulated by Exponential Moving Average (EMA), and distills its knowledge into the online model in following three aspects. First, the matching relation between object queries and ground truth (GT) boxes in the teacher is employed to guide the student, so queries within the student are not only assigned labels based on their own predictions, but also refer to the matching results from the teacher. Second, the teacher's initial query is given to the online student, and its prediction is directly constrained by the corresponding output from the teacher. Finally, the object queries from teacher's different decoding stages are used to build the auxiliary groups to accelerate the convergence. For each GT, two queries with the least matching costs are selected into this extra group, and they predict the GT box and participate the optimization. Extensive experiments show that the proposed OD-DETR successfully stabilizes the training, and significantly increases the performance without bringing in more parameters., Comment: IJCAI24
- Published
- 2024
41. R-ODE: Ricci Curvature Tells When You Will be Informed
- Author
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Sun, Li, Hu, Jingbin, Li, Mengjie, and Peng, Hao
- Subjects
Computer Science - Social and Information Networks ,Computer Science - Machine Learning - Abstract
Information diffusion prediction is fundamental to understand the structure and organization of the online social networks, and plays a crucial role to blocking rumor spread, influence maximization, political propaganda, etc. So far, most existing solutions primarily predict the next user who will be informed with historical cascades, but ignore an important factor in the diffusion process - the time. Such limitation motivates us to pose the problem of the time-aware personalized information diffusion prediction for the first time, telling the time when the target user will be informed. In this paper, we address this problem from a fresh geometric perspective of Ricci curvature, and propose a novel Ricci-curvature regulated Ordinary Differential Equation (R-ODE). In the diffusion process, R-ODE considers that the inter-correlated users are organized in a dynamic system in the representation space, and the cascades give the observations sampled from the continuous realm. At each infection time, the message diffuses along the largest Ricci curvature, signifying less transportation effort. In the continuous realm, the message triggers users' movement, whose trajectory in the space is parameterized by an ODE with graph neural network. Consequently, R-ODE predicts the infection time of a target user by the movement trajectory learnt from the observations. Extensive experiments evaluate the personalized time prediction ability of R-ODE, and show R-ODE outperforms the state-of-the-art baselines., Comment: Accepted by SIGIR 2024
- Published
- 2024
42. LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering
- Author
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Sun, Li, Huang, Zhenhao, Peng, Hao, Wang, Yujie, Liu, Chunyang, and Yu, Philip S.
- Subjects
Computer Science - Machine Learning - Abstract
Graph clustering is a fundamental problem in machine learning. Deep learning methods achieve the state-of-the-art results in recent years, but they still cannot work without predefined cluster numbers. Such limitation motivates us to pose a more challenging problem of graph clustering with unknown cluster number. We propose to address this problem from a fresh perspective of graph information theory (i.e., structural information). In the literature, structural information has not yet been introduced to deep clustering, and its classic definition falls short of discrete formulation and modeling node features. In this work, we first formulate a differentiable structural information (DSI) in the continuous realm, accompanied by several theoretical results. By minimizing DSI, we construct the optimal partitioning tree where densely connected nodes in the graph tend to have the same assignment, revealing the cluster structure. DSI is also theoretically presented as a new graph clustering objective, not requiring the predefined cluster number. Furthermore, we design a neural LSEnet in the Lorentz model of hyperbolic space, where we integrate node features to structural information via manifold-valued graph convolution. Extensive empirical results on real graphs show the superiority of our approach., Comment: Accepted by ICML24, 26 pages
- Published
- 2024
43. Less Peaky and More Accurate CTC Forced Alignment by Label Priors
- Author
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Huang, Ruizhe, Zhang, Xiaohui, Ni, Zhaoheng, Sun, Li, Hira, Moto, Hwang, Jeff, Manohar, Vimal, Pratap, Vineel, Wiesner, Matthew, Watanabe, Shinji, Povey, Daniel, and Khudanpur, Sanjeev
- Subjects
Electrical Engineering and Systems Science - Audio and Speech Processing ,Computer Science - Artificial Intelligence ,Computer Science - Computation and Language ,Computer Science - Machine Learning - Abstract
Connectionist temporal classification (CTC) models are known to have peaky output distributions. Such behavior is not a problem for automatic speech recognition (ASR), but it can cause inaccurate forced alignments (FA), especially at finer granularity, e.g., phoneme level. This paper aims at alleviating the peaky behavior for CTC and improve its suitability for forced alignment generation, by leveraging label priors, so that the scores of alignment paths containing fewer blanks are boosted and maximized during training. As a result, our CTC model produces less peaky posteriors and is able to more accurately predict the offset of the tokens besides their onset. It outperforms the standard CTC model and a heuristics-based approach for obtaining CTC's token offset timestamps by 12-40% in phoneme and word boundary errors (PBE and WBE) measured on the Buckeye and TIMIT data. Compared with the most widely used FA toolkit Montreal Forced Aligner (MFA), our method performs similarly on PBE/WBE on Buckeye, yet falls behind MFA on TIMIT. Nevertheless, our method has a much simpler training pipeline and better runtime efficiency. Our training recipe and pretrained model are released in TorchAudio., Comment: Accepted by ICASSP 2024. Github repo: https://github.com/huangruizhe/audio/tree/aligner_label_priors
- Published
- 2024
44. Relational Prompt-based Pre-trained Language Models for Social Event Detection
- Author
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Li, Pu, Yu, Xiaoyan, Peng, Hao, Xian, Yantuan, Wang, Linqin, Sun, Li, Zhang, Jingyun, and Yu, Philip S.
- Subjects
Computer Science - Computation and Language ,Computer Science - Artificial Intelligence ,Computer Science - Machine Learning ,Computer Science - Social and Information Networks - Abstract
Social Event Detection (SED) aims to identify significant events from social streams, and has a wide application ranging from public opinion analysis to risk management. In recent years, Graph Neural Network (GNN) based solutions have achieved state-of-the-art performance. However, GNN-based methods often struggle with noisy and missing edges between messages, affecting the quality of learned message embedding. Moreover, these methods statically initialize node embedding before training, which, in turn, limits the ability to learn from message texts and relations simultaneously. In this paper, we approach social event detection from a new perspective based on Pre-trained Language Models (PLMs), and present RPLM_SED (Relational prompt-based Pre-trained Language Models for Social Event Detection). We first propose a new pairwise message modeling strategy to construct social messages into message pairs with multi-relational sequences. Secondly, a new multi-relational prompt-based pairwise message learning mechanism is proposed to learn more comprehensive message representation from message pairs with multi-relational prompts using PLMs. Thirdly, we design a new clustering constraint to optimize the encoding process by enhancing intra-cluster compactness and inter-cluster dispersion, making the message representation more distinguishable. We evaluate the RPLM_SED on three real-world datasets, demonstrating that the RPLM_SED model achieves state-of-the-art performance in offline, online, low-resource, and long-tail distribution scenarios for social event detection tasks., Comment: ACM TOIS Under Review
- Published
- 2024
45. Study effect of different drying temperature and drying air speed on paddy quality
- Author
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ZHENG Gang and SUN Li-qin
- Subjects
paddy ,drying ,quality indicator ,experiment ,germination rate ,Food processing and manufacture ,TP368-456 ,Nutrition. Foods and food supply ,TX341-641 - Abstract
The effect of different drying temperature and air speed on the quality of rice was studied.The results showed that the quality and germination rate of rice decreased with the increase of drying temperature and drying air speed.When the drying temperature is below 50 ℃ and the air speed is less than 0.6 m/s,the change of rice quality is the smallest and the germination rate is the highest.
- Published
- 2020
- Full Text
- View/download PDF
46. Effect of stretching process on crystalline structures and alternating current conductivity of CNF/PVDF composites
- Author
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SUN Li-li, WU Nan, and PENG Rui
- Subjects
cnf ,pvdf ,stretching ,crystallization ,ac conductivity ,Materials of engineering and construction. Mechanics of materials ,TA401-492 - Abstract
Carbon nanofiber (CNF)/poly (vinylidene fluoride) (PVDF) composites with different CNF concentrations from 1% (mass fraction, the same as below) to 5% were prepared into thin films via solution casting method firstly, followed by the stretching process. The effect of stretching process on the crystallization and alternating current (AC) conductivity of CNF/PVDF composites was discussed. The results reveal that the phase transformation from α- to β-crystal PVDF can be effectively induced by stretching process. Simultaneously, the crystallinity is decreased. On the other hand, CNFs in PVDF are re-oriented and the AC conductivity of CNF/PVDF composites is decreased, the percolation threshold of which is raised from 1% to a value between 3% and 5%.
- Published
- 2020
- Full Text
- View/download PDF
47. Nephrotoxicity and genotoxicity of silver nanoparticles in juvenile rats and possible mechanisms of action
- Author
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Liu Ye, Sun Li, Yang Guili, and Yang Zhuo
- Subjects
alkaline comet assay ,inflammation ,oxidative stress ,trpc6 cation channel ,alkalni komet test ,oksidacijski stres ,trpc6 kationski kanal ,upala ,Toxicology. Poisons ,RA1190-1270 - Abstract
Because of their widespread use and potential adverse effects in young developing organism, this study focused on the nephrotoxicity and genotoxicity of chronic low-dose exposure to silver nanoparticles (AgNPs) in 32 14-day-old male Wistar rats, randomly divided into three groups receiving AgNP solution (3 mg/kg body weight) intraperitoneally for one, two, or three weeks and the untreated control group (eight animals per group). When the rats were eight weeks old, blood creatinine and urine microalbumin were tested, followed by haematoxylin and eosin (H&E) staining. Proteinuria was found in the animals treated with AgNP for three weeks, and H&E staining revealed pathological changes in the kidney sections of this group. DNA damage was detected with the alkaline comet assay in the groups treated for two and three weeks. All results indicate that chronic exposure, even at a low dose, may affect animal health. The main culprit might be increased and time-dependent reactive oxygen species (ROS) production. Highly reactive ROS could cause a major structural damage to proteins and DNA, change the expression of ion channel proteins, and trigger inflammation. The findings of our in vivo experiment raise concern about nephrotoxic and genotoxic effects of silver nanoparticles in young organisms and call for further investigation of nanoparticle properties that can be modified to minimise the risks.
- Published
- 2020
- Full Text
- View/download PDF
48. Study on Lubrication Characteristic of Cylindrical Roller Tripod Coupling based on Time-varying Squeeze Effect
- Author
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Yang Fuqin, Sun Li, Xiao Qianhao, and Liu Xin
- Subjects
Cylindrical roller tripod coupling ,Mechanical engineering and machinery ,TJ1-1570 - Abstract
The motion between the cylindrical roller and the slider groove of the tripod coupling is simplified as the motion between the cylinder and the infinite plane. With consideration of the unsteady state effect and time-varying squeeze effect in the running process of coupling,the numerical calculation model of linear contact thermal elastohydrodynamic grease lubrication is established. The transient solutions of lubrication parameters such as film pressure,film thickness and average temperature rise of lubricating oil film are obtained by using multi-grid method. The transient solutions are compared with the steady-state values. The results show that the transient solution and the steady solution of lubricating oil film characteristics are not much different when the variable effect is in the low frequency state. While in the high frequency state,the oil film thickness is smaller than the steady solution as a whole,and the temperature rise is particularly obvious. The distributions of high-frequency solution and low-frequency solution are almost same while the film thickness of high-frequency state is lower significantly than that of low-frequency state in a period of impact load.
- Published
- 2020
- Full Text
- View/download PDF
49. Optimal Design of Negative Stiffness Devices for Highway Bridges Using Performance-Based Genetic Algorithm
- Author
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Sun Tong, Zhu Tianqi, Sun Li, and Zhang Hao
- Subjects
optimal design ,NSD ,genetic algorithm ,benchmark model ,optimization analysis ,Physics ,QC1-999 - Abstract
Parameter optimization analysis on the negative stiffness device (NSD) installed in the benchmark highway bridge is carried out in this study. Key parameters and constrain conditions are determined in accordance with the characteristics of NSD, and an objective function is designed with safety and comfort being considered. Individual fitness value–related cross and mutation operators are designed to protect excellent chromosome and improve the efficiency and convergence of computation. The genetic algorithm is used to realize parameter optimization of the NSD used in a benchmark highway bridge. Dynamic responses of structure without NSD, with random NSD, and with optimal designed NSD are compared. By analyzing the time history of displacement and acceleration, it can be concluded that dynamic responses of the structure decrease obviously when the NSD is added, and a better seismic reduction effect can be reached when the NSD is designed optimally in accordance with the optimization method and different earthquake excitations have slight influence on the optimization results.
- Published
- 2021
- Full Text
- View/download PDF
50. Crystal structure of poly[(5-bimethylamino-1-naphthalenesulfonato-κO)-(μ3-hexamethylenetetramino-κ3N:N′:N′′)silver(I)] dihydrate, C36H52Ag2N10O8S2
- Author
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Jiang Jin-Ke, Yang Gang, Sun Li-Ying, Wang Chun-Yan, and Wang Feng
- Subjects
1985662 ,Physics ,QC1-999 ,Crystallography ,QD901-999 - Abstract
C36H52Ag2N10O8S2, orthorhombic, Pna21 (no. 33), a = 11.7911(16) Å, b = 31.310(5) Å, c = 10.6883(11) Å, V = 3945.9(9) Å3, Z = 4, Rgt(F) = 0.0353, wRref(F2) = 0.0784, T = 293(2) K.
- Published
- 2020
- Full Text
- View/download PDF
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