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1,006 results on '"Xu, Jianrong"'

3. Research on Crack Control Method of Girder End Anchorage Zone Based on Nonlinear Finite Element Analysis

Author

Wang, Tongyi, Gu, Jinjian, Xu, Jianrong, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Cui, Zhen-Dong, Series Editor, Guo, Wei, editor, Qian, Kai, editor, Tang, Honggang, editor, and Gong, Lei, editor

Published
2024
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5. Kisspeptin-10 binding to Gpr54 in osteoclasts prevents bone loss by activating Dusp18-mediated dephosphorylation of Src

Author

Li, Zhenxi, Yang, Xinghai, Fu, Ruifeng, Wu, Zhipeng, Xu, Shengzhao, Jiao, Jian, Qian, Ming, Zhang, Long, Wu, Chunbiao, Xie, Tianying, Yao, Jiqiang, Wu, Zhixiang, Li, Wenjun, Ma, Guoli, You, Yu, Chen, Yihua, Zhang, Han-kun, Cheng, Yiyun, Tang, Xiaolong, Wu, Pengfei, Lian, Gewei, Wei, Haifeng, Zhao, Jian, Xu, Jianrong, Ai, Lianzhong, Siwko, Stefan, Wang, Yue, Ding, Jin, Song, Gaojie, Luo, Jian, Liu, Mingyao, and Xiao, Jianru

Published
2024
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7. HiGNN: Hierarchical Informative Graph Neural Networks for Molecular Property Prediction Equipped with Feature-Wise Attention

Author

Zhu, Weimin, Zhang, Yi, Zhao, DuanCheng, Xu, Jianrong, and Wang, Ling

Subjects
Computer Science - Machine Learning, Quantitative Biology - Quantitative Methods
Abstract

Elucidating and accurately predicting the druggability and bioactivities of molecules plays a pivotal role in drug design and discovery and remains an open challenge. Recently, graph neural networks (GNN) have made remarkable advancements in graph-based molecular property prediction. However, current graph-based deep learning methods neglect the hierarchical information of molecules and the relationships between feature channels. In this study, we propose a well-designed hierarchical informative graph neural networks framework (termed HiGNN) for predicting molecular property by utilizing a co-representation learning of molecular graphs and chemically synthesizable BRICS fragments. Furthermore, a plug-and-play feature-wise attention block is first designed in HiGNN architecture to adaptively recalibrate atomic features after the message passing phase. Extensive experiments demonstrate that HiGNN achieves state-of-the-art predictive performance on many challenging drug discovery-associated benchmark datasets. In addition, we devise a molecule-fragment similarity mechanism to comprehensively investigate the interpretability of HiGNN model at the subgraph level, indicating that HiGNN as a powerful deep learning tool can help chemists and pharmacists identify the key components of molecules for designing better molecules with desired properties or functions. The source code is publicly available at https://github.com/idruglab/hignn.

Published
2022

18. PFGDF: Pruning Filter via Gaussian Distribution Feature for Deep Neural Networks Acceleration

Author

Xu, Jianrong, Diao, Boyu, Cui, Bifeng, Yang, Kang, Li, Chao, and Xu, Yongjun

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Deep learning has achieved impressive results in many areas, but the deployment of edge intelligent devices is still very slow. To solve this problem, we propose a novel compression and acceleration method based on data distribution characteristics for deep neural networks, namely Pruning Filter via Gaussian Distribution Feature (PFGDF). Compared with previous advanced pruning methods, PFGDF compresses the model by filters with insignificance in distribution, regardless of the contribution and sensitivity information of the convolution filter. PFGDF is significantly different from weight sparsification pruning because it does not require the special accelerated library to process the sparse weight matrix and introduces no more extra parameters. The pruning process of PFGDF is automated. Furthermore, the model compressed by PFGDF can restore the same performance as the uncompressed model. We evaluate PFGDF through extensive experiments, on CIFAR-10, PFGDF compresses the convolution filter on VGG-16 by 66.62% with more than 90% parameter reduced, while the inference time is accelerated by 83.73% on Huawei MATE 10.

Published
2020

19. Implementation of Global Hearts Hypertension Control Programs in 32 Low- and Middle-Income Countries: JACC International

Author

Pathni, Anupam, Osi, Kufor, Dessie, Girma, Zhang, Xiulei, Cazabon, Danielle, Banigbe, Bolanle, Farrell, Margaret, Erojikwe, Okeoma, Swahoo, Swagata, Krishna, Ashish, Yusuf, Abdikaid Ahmed, Kebede, Henok Gebreyohannes, Berhanu, Molla Gedefaw, Bezabih, Tilahun, Tegegn, Teshome Ayalew, Demissie, Workneh, Burka, Daniel, Tasmin, Misu, Ogbeide, Bolatito, Cheadle, Timothy, Odu, Joseph, Beyene, Meron Hailu, Borkhataria, Cecile, Elliott, Kate, Jaffe, Marc, Garg, Renu, Frieden, Thomas R., Khan, Taskeen, Slama, Slim, Mikkelson, Bente, Lai, Truong Duc, Santos, Rauell John, Aquino, Tyrone, Calla, Dofel Joseph, Kunwar, Abhishek, Durgad, Kiran, Bunluesin, Sushera, Dewan, Mary, Obagha, C.E., Msyamboza, Kelias, Das, Bidisha, Kishore, Navneet, Puthussery, Yannick Poulose, Sambandam, Gopinath Thirugnana, Immanuel, A Branch, Chandrakant Joshi, Chakshu, Bhardawaj, Rupali, Wankhede, Amol, Khedkar, Suhas Namdevrao, Bhardawaj, Vishwajit Washudeorao, Kumar Reddy, Thokala Sravan, Chavan, Tejpalsinh Anandrao, Chittimella, Raghavendra Patel, Bhandari, Subhasis, Shah, Urvin Kumar, Chandram, Deenadayalan, Wassey, Mohammed Abdul, Kadia, Abhinav, Sarode, Lalit Dinkar, Chauhan, Lalita, Ponna, Satyendra Nath, Babu, Suresh, Gupta, Piyush, Reddy, Thej Kiran, Sekhon, Hanspreet, Jeelani, Asif, Nath, Gunjan, Wankhede, Virendra, Jayaprasad, Niniya, Mohanty, Trishna, Kumar, Praveen, Khanna, Abhishek, Singh, Shweta, Bhat, Ashish, Thakkar, Jatin, Anitha Sreekumar, Aiswarya Lakshmi, Lakshmanasamy, Ravivarman, Rafique, Mohamed Essa, Dar, Sunil Kumar, Chintala, Sreedhar, Jagadeesh, Bharath, Patruni, Manoj, Raimule, Madhur, Prabhu Valawalkar, Shahanara S., Ordunez, Pedro, Giraldo, Gloria, Martinez, Ramon, Rosende, Andres, Rodriguez, Yenny, Lombardi, Cintia, Gamarra, Angelo, Rodriguez, Libardo, Parra, Natalia, Rodriguez, Gonzalo, Villalta, Noelia, Escobar, Maria C., Villacres, Nilda, Sorto, Carlos, Baca, Edith, Batista, Vhania, Perez, Vivian, Victoria, Jorge, Abaakouk, Zohra, Malcolm, Taraleen, Kostova, Deliana, Richter, Patricia, Whelton, Paul K., Lackland, Daniel, Weber, Michael, Pineiro, Daniel, Wood, David, Pinto, Fausto, Mwangi, Jeremiah, Perel, Pablo, Codato, Elisa, Eiselé, Jean-Luc, Kaur, Prabhdeep, Parashuraman, Ganeshkumar, Sharma, Meenakshi, Shivashankar, Roopa, Bangar, Sampada Dipak, Chakma, Tapas, Pragya, Pragati, Malik, Abdul, Awal, Khondker Abdul, Malik, Fazilatunnesa, Choudhury, Sohel Reza, Bhuiyan, Mahfuzur Rahman, Jubayer, Shamim, Al Mamun, Mohammad Abdullah, Ishraquzzaman, Mir, Abrar, Ahmed Khairul, Akhter, Jubaida, Sultana, Sarmin, Parvej, Aslam, Sayem Khandoker Ehsanul Amin, Noor Nabi, Islam, Md Shahinul, Dey Parag, Deb Dulal, Amin, Ruhul, Luna, Mahfuja, Ibn Karim, Md Abbas, Mahajabin, Progga, Khan, Iqbal Ahmed, Hossain, Sazzad, Ullah, Riasat Razi, Nahid, Muhtamim Fuwad, Zhang, Xinhua, Huang, Hongxia, Wang, Hao, Guan, Tingrui, Zhao, Haiying, Ojji, Dike, Shedul, Gabriel Lamkur, Shedul, Grace, Orji, Anthony, Asuku, Regina, Alo-Joseph, Confidence, Akor, Charity, Egenti, Nonye, Nwankwo, Ada, Omitiran, Kasarachi, Okoli, Rosemary, Ripiye, Nanna, Akor, Blessing, Cai, Jun, Wang, Lu, Wang, Wenjie, Fan, Luyun, Xu, Jianrong (Jenny), Tang, Shanshan, Wu, Guoli, Smith, Barbara, Kenyon, Thomas, Mandal, Sudarsan, Swarnakar, Sunny, Wickramasinghe, S.C., Herath, Amila Bandarra, Ratnayake, I.U., Samarasinghe, Kosala, Kumarasiri, K.H.N., Vensentini, Natalia, Mendieta, Daniel Palacios, Rivera, Marcela, Gonzalez, Yamile Valdez, Cevallos, Lucia, Villatoro, Matías Humberto, Gloria Hernandez, Laura Elena, Arenas, Elsa, Fernández, Daniel, De Oleo, Daniel Mola, Cyr, Shana, Mitchell, Roxanne, Hossain, AHM Enayet, Amin, Mohammad Robed, Alim, Abdul, Milon, Sarowar Uddin, Alex-Okoh, M.O., Odoh-Bako, D.O., Malau, M.T., Oshundele, B.R., Akinkoye, O.K., Abraham, E.A., Eze, S.V., Elemuwa, Chris, Lamorde, Suleiman, Oguntayo, E.A., Rajab, Ashiru, Ibrahim, Auwalu, Soyinka, Festus, Caluag, Maria Elizabeth, Uy, Maria Rosario, Adriano Subaan, Regional Director, Gayomali, Aimee Marie, Lapascua, John Richard, Taffese, Hiwot Solomon, Bac, Truong Dinh, Bao, Tran Quoc, Guo, Xiaolei, Xu, Chunxiao, Zhang, Bingyin, Thi Tho, Nguyen Thi, Van, Ngo Hai, Danh, Phan Cong, Tinh, Ho Huu, Hau, Tran Phuc, Appel, Lawrence J., Matsushita, Kunihiro, Andersen, Katye, Ayensu-Asiedu, Christabelle, Byiringiro, Samuel, Brady, Tammy, Charleston, Jeanne, Chen, Mengkun, Commodore–Mensah, Yvonne, Dalcin, Arlene, Dennison-Himmelfarb, Cheryl, Ding, Ning, Doyle, Christopher K., Edward, Anbrasi, de Souza Elias, Sabrina, Foti, Kathryn, Greer, Raquel, Henry, Megan, Hu, Xiao, Ishigami, Junichi, Kou, Minghao, Lord, Katherine, Lu, Yifei, Marklund, Matti, Amezcua, Pablo Martinez, Mattingly, Joey, McArthur, Kristin, Miller, Edgar R., III, Neupane, Dinesh, Ogungbe, Bunmi, Pariyo, George, Pathak, Priya, Pilla, Scott, Rao, Krishna, Resnick, Carol, Riekert, Kristin, Sakulsaengprapha, Tangkwa, Scheiber, Simona, Shilkofski, Nicole, Tamplin, Steve, Tang, Olive, Zhao, Di, Campbell, Norman, Ogedegbe, Olugbenga, Di Pette, Donald, Brettler, Jeffrey, Connell, Kenneth, Kishore, Sandeep P., Huffman, Mark, Hutchinson, Brian, Abdalla, Marwa, Moran, Andrew E., and Gupta, Reena

Published
2023
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21. Capsaicin receptor TRPV1 maintains quiescence of hepatic stellate cells in the liver via recruitment of SARM1

Author

Tao, Le, Yang, Guangyue, Sun, Tiantian, Jie Tao, Zhu, Chan, Yu, Huimin, Cheng, Yalan, Yang, Zongguo, Xu, Mingyi, Jiang, Yuefeng, Zhang, Wei, Wang, Zhiyi, Ma, Wenting, Wu, Liu, Xue, Dongying, Wang, Dongxue, Yang, Wentao, Zhao, Yongjuan, Horsefield, Shane, Kobe, Bostjan, Zhang, Zhe, Tang, Zongxiang, Li, Qigen, Zhai, Qiwei, Dooley, Steven, Seki, Ekihiro, Liu, Ping, Xu, Jianrong, Chen, Hongzhuan, and Liu, Cheng

Published
2023
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23. Numerical Simulation of Water Impoundment at a High Arch Dam Site

Author

Detournay, Christine, Meng, Guotao, Hou, Jing, Xu, Jianrong, Cheng, Zhao, Peterson, Ryan, Cundall, Peter, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, and Wahab, Magd Abdel, editor

Published
2022
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24. Glial cell line-derived neurotrophic factor (GDNF) mediates hepatic stellate cell activation via ALK5/Smad signalling

Author

Tao, Le, Ma, Wenting, Wu, Liu, Xu, Mingyi, Yang, Yanqin, Zhang, Wei, Sha, Wenjun, Li, Hongshan, Xu, Jianrong, Feng, Rilu, Xue, Dongying, Zhang, Jie, Dooley, Steven, Seki, Ekihiro, Liu, Ping, and Liu, Cheng

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Nutrition and Dietetics, Liver Disease, Digestive Diseases, Chronic Liver Disease and Cirrhosis, Aetiology, 2.1 Biological and endogenous factors, Oral and gastrointestinal, Adult, Animals, Biopsy, Cell Line, Disease Models, Animal, Female, Follow-Up Studies, Gene Expression Regulation, Glial Cell Line-Derived Neurotrophic Factor, Hepatic Stellate Cells, Humans, Liver Cirrhosis, Male, Mice, RNA, Receptor, Transforming Growth Factor-beta Type I, Retrospective Studies, Signal Transduction, Smad Proteins, Up-Regulation, chronic liver disease, hepatic fibrosis, hepatic stellate cell, Paediatrics and Reproductive Medicine, Gastroenterology & Hepatology, Clinical sciences, Nutrition and dietetics
Abstract

ObjectiveAlthough glial cell line-derived neurotrophic factor (GDNF) is a member of the transforming growth factor-β superfamily, its function in liver fibrosis has rarely been studied. Here, we investigated the role of GDNF in hepatic stellate cell (HSC) activation and liver fibrosis in humans and mice.DesignGDNF expression was examined in liver biopsies and sera from patients with liver fibrosis. The functional role of GDNF in liver fibrosis was examined in mice with adenoviral delivery of the GDNF gene, GDNF sgRNA CRISPR/Cas9 and the administration of GDNF-blocking antibodies. GDNF was examined on HSC activation using human and mouse primary HSCs. The binding of activin receptor-like kinase 5 (ALK5) to GDNF was determined using surface plasmon resonance (SPR), molecular docking, mutagenesis and co-immunoprecipitation.ResultsGDNF mRNA and protein levels are significantly upregulated in patients with stage F4 fibrosis. Serum GDNF content correlates positively with α-smooth muscle actin (α-SMA) and Col1A1 mRNA in human fibrotic livers. Mice with overexpressed GDNF display aggravated liver fibrosis, while mice with silenced GDNF expression or signalling inhibition by GDNF-blocking antibodies have reduced fibrosis and HSC activation. GDNF is confined mainly to HSCs and contributes to HSC activation through ALK5 at His39 and Asp76 and through downstream signalling via Smad2/3, but not through GDNF family receptor alpha-1 (GFRα1). GDNF, ALK5 and α-SMA colocalise in human and mouse HSCs, as demonstrated by confocal microscopy.ConclusionsGDNF promotes HSC activation and liver fibrosis through ALK5/Smad signalling. Inhibition of GDNF could be a novel therapeutic strategy to combat liver fibrosis.

Published
2019

30. Quantitative susceptibility mapping (QSM) as a means to monitor cerebral hematoma treatment

Author

Zhang, Yuyao, Wei, Hongjiang, Sun, Yawen, Cronin, Matthew J, He, Naying, Xu, Jianrong, Zhou, Yan, and Liu, Chunlei

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Stroke, Neurosciences, Biomedical Imaging, Clinical Research, Brain Disorders, Adolescent, Adult, Aged, Aged, 80 and over, Cerebral Hemorrhage, Female, Hematoma, Humans, Image Interpretation, Computer-Assisted, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Middle Aged, Observer Variation, Prospective Studies, Regression Analysis, Reproducibility of Results, Severity of Illness Index, Young Adult, computed tomography, hematoma volume, intracerebral hemorrhage, magnetic resonance imaging, quantitative susceptibility mapping, Physical Sciences, Engineering, Medical and Health Sciences, Nuclear Medicine & Medical Imaging, Clinical sciences
Abstract

BACKGROUND:Quantitative susceptibility mapping (QSM) offers a consistent hemorrhage volume measurement independent of imaging parameters. PURPOSE:To investigate the magnetic susceptibility of intracerebral hemorrhage (ICH) as a quantitative measurement for monitoring treatment in hematoma patients. STUDY TYPE:Prospective. POPULATION:Twenty-six patients with acute ICH were recruited and enrolled in treatment including surgery or medication (mannitol) for 1 week. FIELD STRENGTH/SEQUENCE:A 3D gradient echo sequence at 3.0T. ASSESSMENT:The hematoma volumes on computed tomography (CT) and QSM were calculated and used for correlation analysis. Magnetic susceptibility changes from pre- to posttreatment were calculated and compared to the National Institutes of Health stroke scale (NIHSS) measure of neurological deficit for each patient. STATISTICAL TESTS:Mean susceptibility values were calculated over each region of interest (ROI). A one-sample t-test was used to assess the changes of total volumes and mean magnetic susceptibility of ICH identified between pre- and posttreatment images (P < 0.05 was considered significant) and the Bland-Altman analysis with 95% limits of agreement (average difference, ±1.96 SD of the difference). Regression of volume measurements on QSM vs. CT and fitted linear regression of mean susceptibility vs. CT signal intensity for hematoma regions were conducted in all patients. RESULTS:Good correlation was found between hemorrhage volumes calculated from CT and QSM (CT volume = 0.94*QSM volume, r = 0.98). Comparison of QSM pre- and posttreatment showed that the mean ICH volume was reduced by a statistically insignificant amount from 5.74 cm3 to 5.45 cm3 (P = 0.21), while mean magnetic susceptibility was reduced significantly from 0.48 ppm to 0.38 ppm (P = 0.004). A significant positive association was found between changes in magnetic susceptibility values and NIHSS following hematoma treatment (P < 0.01). DATA CONCLUSIONS:QSM in hematoma assessment, as compared with CT, offers a comparably accurate volume measurement; however, susceptibility measurements may enable improved monitoring of ICH treatment compared to volume measurements alone. LEVEL OF EVIDENCE:2 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2018;48:907-915.

Published
2018

37. Preparation of binary eutectic sugar alcohol particles and their application as cooling materials in traditional cigarettes.

Author

LI Kai, LIU Wen, XU Jianrong, HUANG Chaozhang, WANG Daoquan, and WANG Duo

Subjects
SUGAR alcohols, HEAT radiation & absorption, CHEMICAL reactions, ERYTHRITOL, XYLITOL, CIGARETTES
Abstract

In order to expand the screening range of cooling materials for traditional cigarettes, the eutectic point of xylitol and erythritol was calculated through the binary phase diagram of xylitol and erythritol. A binary eutectic sugar alcohols particles of xylitol and erythritol were prepared by melting method and applied as a cooling material in traditional cigarettes, and their heat absorption and cooling effects were evaluated. The results showed that the ratio of the amount of xylitol to erythritol at the eutectic point of binary eutectic sugar alcohol was 7.6 :2.4, which was named as X7.6E2.4 eutectic sugar alcohol particles, and the eutectic temperature was approximately 89 °C. The preparation process of the eutectic sugar alcohol particles did not undergo any chemical reaction, and their morphological characteristics were similar to those of xylitol particles, with a relatively smooth surface. When applied to medium and short length cigarettes, the mainstream smoke temperature of the cigarette was reduced by 6. 8 °C compared to blank cigarettes. Xylitol particles could effectively retain moisture from mainstream smoke. The more xylitol content was added to binary eutectic sugar alcohol particles, the less moisture was captured at the cigarette outlet. Binary eutectic sugar alcohol particles could intercept some of the tar in mainstream smoke, among which X7.6E2.4 eutectic sugar alcohol particle cigarettes capture the least amount of tar at the outlet, but binary eutectic sugar alcohol particles had no significant effect on the nicotine and CO content in mainstream smoke. The cigarette with added X7.6E2.4 eutectic sugar alcohol particles showed an improvement in the sweetness of the smoke, but the suction resistance slightly increased. In addition, the heat sensation of the smoke of cigarettes was decreased, resulting in the highest the overall sensory quality evaluation. [ABSTRACT FROM AUTHOR]

Published
2024
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41. Prognostic Value of Segmental Strain After ST‐Elevation Myocardial Infarction: Insights From the EARLY Assessment of MYOcardial Tissue Characteristics by Cardiac Magnetic Resonance (EARLY‐MYO‐CMR) Study

Author

He, Jie, primary, Kong, Lingcong, additional, An, Dongaolei, additional, Chen, Binghua, additional, Zhao, Chengxu, additional, Li, Zheng, additional, Yang, Fan, additional, Dong, Jianxun, additional, Wei, Lai, additional, Shan, Peiren, additional, Chen, Yingmin, additional, Wu, Lianming, additional, Xu, Jianrong, additional, Ge, Heng, additional, and Pu, Jun, additional

Published
2024
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46. Gold Nano Frameworks with Mesopores for Synergistic Immune-Thermal Therapy in Hepatic Carcinoma: A Paradigm Shift in Immune Checkpoint Blockade

Author

Feng, Lei, Luo, Bin, Li, Bei, Gou, Maling, Luo, Yuting, Liu, Geng, Ye, Xiwen, Xu, Jianrong, Fan, Yaotian, and You, Zhen

Abstract

Immune checkpoint blockade (ICB) therapy, while showing promise in various cancers, exhibits limited effectiveness in hepatic carcinoma due to the tumor’s immunosuppressive microenvironment (TME) and challenges associated with immune cell infiltration. Efforts to transform the “cold” TME into an “inflamed” state, notably through chemo-immunotherapy, have sparked interest due to their potential to induce immunogenic cell death and augment the infiltration of cytotoxic T lymphocytes (CTLs). Nonetheless, the efficacy of chemo-immunotherapy is often compromised by suboptimal pharmacokinetics, poor tumor accumulation, and off-target toxicity. Herein, in response, we introduce an innovative, milder thermal therapeutic approach leveraging gold nano frameworks with mesopores for the targeted delivery of the immunostimulant imiquimod and NIR-II photothermal therapy. This strategy employs targeted molecule modifications to ensure precise tumor targeting, guided by photoacoustic imaging. Subsequent to mild thermal treatment, there is a release of immunogenic proteins (CRT and HSP90), enhancing tumor immunogenicity. Assisted by imiquimod, substantial CTL infiltration occurs, accompanied by pro-inflammatory factor release (TNF-α, IL-6), transforming M2 macrophages into the M1 phenotype. Ultimately, the proposed strategy combines PD-L1/PD-1 blockade, imiquimod and mild thermal treatment to synergistically enhance tumor immunogenicity, remodel the TME, and restrain hepatic carcinoma, making strides in ICB synergistic immune-thermal therapy.

Published
2024
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