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3,536 results on '"Chen, Lijun"'

57. Progress in Understanding the Mechanism by Which Probiotics Alletivate Hyperuricemia

Author

HUANG Jiahao, LI Xianping, ZHAO Junying, QIAO Weicang, LIU Lu, CHEN Lijun

Subjects
hyperuricemia, gout, probiotics, mechanism, research progress, Food processing and manufacture, TP368-456
Abstract

Hyperuricemia (HUA) is a disease caused by excessive production and/or inadequate excretion of uric acid (UA) in the body, and persistent HUA can lead to gout. Asymptomatic HUA is closely related to other metabolic diseases, such as chronic kidney disease, diabetes and cardiovascular disease. Probiotic intervention is a potentially safe, cost-effective treatment to improve HUA. This paper mainly describes the mechanisms of action of probiotics in reducing the level of uric acid, including inhibiting xanthine oxidase activity, absorbing and degrading purines in the intestine, regulating intestinal flora homeostasis and restoring intestinal barrier function. In addition, probiotics can promote uric acid excretion and consequently reduced uric acid levels by promoting the expression of urate transport proteins and inhibiting the expression of urate reabsorbing proteins. Probiotics have great potential in alleviating HUA. This review hopes to provide a theoretical basis for subsequent research.

Published
2023
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58. CamLiFlow: Bidirectional Camera-LiDAR Fusion for Joint Optical Flow and Scene Flow Estimation

Author

Liu, Haisong, Lu, Tao, Xu, Yihui, Liu, Jia, Li, Wenjie, and Chen, Lijun

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

In this paper, we study the problem of jointly estimating the optical flow and scene flow from synchronized 2D and 3D data. Previous methods either employ a complex pipeline that splits the joint task into independent stages, or fuse 2D and 3D information in an "early-fusion" or "late-fusion" manner. Such one-size-fits-all approaches suffer from a dilemma of failing to fully utilize the characteristic of each modality or to maximize the inter-modality complementarity. To address the problem, we propose a novel end-to-end framework, called CamLiFlow. It consists of 2D and 3D branches with multiple bidirectional connections between them in specific layers. Different from previous work, we apply a point-based 3D branch to better extract the geometric features and design a symmetric learnable operator to fuse dense image features and sparse point features. Experiments show that CamLiFlow achieves better performance with fewer parameters. Our method ranks 1st on the KITTI Scene Flow benchmark, outperforming the previous art with 1/7 parameters. Code is available at https://github.com/MCG-NJU/CamLiFlow., Comment: Accepted to CVPR 2022 (Oral)

Published
2021

64. Abnormal global alternative RNA splicing in COVID-19 patients

Author

Wang, Changli, Chen, Lijun, Chen, Yaobin, Jia, Wenwen, Cai, Xunhui, Liu, Yufeng, Ji, Fenghu, Xiong, Peng, Liang, Anyi, Liu, Ren, Guan, Yuanlin, Cheng, Zhongyi, Weng, Yejing, Wang, Weixin, Duan, Yaqi, Kuang, Dong, Xu, Sanpeng, Cai, Hanghang, Xia, Qin, Yang, Dehua, Wang, Ming-Wei, Yang, Xiangping, Zhang, Jianjun, Cheng, Chao, Liu, Liang, Liu, Zhongmin, Liang, Ren, Wang, Guopin, Li, Zhendong, Xia, Han, and Xia, Tian

Subjects
Biological Sciences, Bioinformatics and Computational Biology, Infectious Diseases, Human Genome, Prevention, Genetics, Clinical Research, Development of treatments and therapeutic interventions, Aetiology, 5.1 Pharmaceuticals, 2.1 Biological and endogenous factors, Infection, Good Health and Well Being, Alternative Splicing, COVID-19, COVID-19 Testing, Humans, Proteomics, SARS-CoV-2, Transcriptome, Developmental Biology
Abstract

Viral infections can alter host transcriptomes by manipulating host splicing machinery. Despite intensive transcriptomic studies on SARS-CoV-2, a systematic analysis of alternative splicing (AS) in severe COVID-19 patients remains largely elusive. Here we integrated proteomic and transcriptomic sequencing data to study AS changes in COVID-19 patients. We discovered that RNA splicing is among the major down-regulated proteomic signatures in COVID-19 patients. The transcriptome analysis showed that SARS-CoV-2 infection induces widespread dysregulation of transcript usage and expression, affecting blood coagulation, neutrophil activation, and cytokine production. Notably, CD74 and LRRFIP1 had increased skipping of an exon in COVID-19 patients that disrupts a functional domain, which correlated with reduced antiviral immunity. Furthermore, the dysregulation of transcripts was strongly correlated with clinical severity of COVID-19, and splice-variants may contribute to unexpected therapeutic activity. In summary, our data highlight that a better understanding of the AS landscape may aid in COVID-19 diagnosis and therapy.

Published
2022

71. Comprehensive proteogenomic characterization of rare kidney tumors

Author

Lazar, Alexander J., Paulovich, Amanda G., Antczak, Andrzej, Green, Anthony, Ma’ayan, Avi, Pruetz, Barb, Zhang, Bing, Reva, Boris, Druker, Brian J., Goldthwaite, Charles A., Jr., Birger, Chet, Mani, D.R., Chesla, David, Fenyö, David, Schadt, Eric E., Wilson, George, Kołodziejczak, Iga, John, Ivy, Hafron, Jason, Vo, Josh, Zaalishvili, Kakhaber, Ketchum, Karen A., Rodland, Karin D., Nyce, Kristen, Wiznerowicz, Maciej, Domagalski, Marcin J., Anurag, Meenakshi, Borucki, Melissa, Gillette, Michael A., Birrer, Michael J., Edwards, Nathan J., Vatanian, Negin, VanderKolk, Pamela, McGarvey, Peter B., Dhir, Rajiv, Thangudu, Ratna R., Crispen, Reese, Smith, Richard D., Payne, Samuel H., Cottingham, Sandra, Cai, Shuang, Carr, Steven A., Liu, Tao, Le, Toan, Ma, Weiping, Zhang, Xu, Lu, Yin, Shutack, Yvonne, Zhang, Zhen, Li, Ginny Xiaohe, Chen, Lijun, Hsiao, Yi, Mannan, Rahul, Zhang, Yuping, Luo, Jie, Petralia, Francesca, Cho, Hanbyul, Hosseini, Noshad, Leprevost, Felipe da Veiga, Calinawan, Anna, Li, Yize, Anand, Shankara, Dagar, Aniket, Geffen, Yifat, Kumar-Sinha, Chandan, Chugh, Seema, Le, Anne, Ponce, Sean, Guo, Shenghao, Zhang, Cissy, Schnaubelt, Michael, Al Deen, Nataly Naser, Chen, Feng, Caravan, Wagma, Houston, Andrew, Hopkins, Alex, Newton, Chelsea J., Wang, Xiaoming, Polasky, Daniel A., Haynes, Sarah, Yu, Fengchao, Jing, Xiaojun, Chen, Siqi, Robles, Ana I., Mesri, Mehdi, Thiagarajan, Mathangi, An, Eunkyung, Getz, Gad A., Linehan, W. Marston, Hostetter, Galen, Jewell, Scott D., Chan, Daniel W., Wang, Pei, Omenn, Gilbert S., Mehra, Rohit, Ricketts, Christopher J., Ding, Li, Chinnaiyan, Arul M., Cieslik, Marcin P., Dhanasekaran, Saravana M., Zhang, Hui, and Nesvizhskii, Alexey I.

Published
2024
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77. The short version of the Sexual Distress Scale (SDS-3): Measurement invariance across countries, gender identities, and sexual orientations

Author

Lin, Chung-Ying, Tsai, Meng-Che, Koós, Mónika, Nagy, Léna, Kraus, Shane W., Demetrovics, Zsolt, Potenza, Marc N., Ballester-Arnal, Rafael, Batthyány, Dominik, Bergeron, Sophie, Billieux, Joël, Briken, Peer, Cárdenas-López, Georgina, Carvalho, Joana, Castro-Calvo, Jesús, Chen, Lijun, Ciocca, Giacomo, Corazza, Ornella, Csako, Rita I., Fernandez, David P., Fernandez, Elaine F., Fujiwara, Hironobu, Fuss, Johannes, Gabrhelík, Roman, Gewirtz-Meydan, Ateret, Gjoneska, Biljana, Gola, Mateusz, Grubbs, Joshua B., Hashim, Hashim T., Islam, Md. Saiful, Ismail, Mustafa, Jiménez-Martínez, Martha, Jurin, Tanja, Kalina, Ondrej, Klein, Verena, Költő, András, Lee, Sang-Kyu, Lewczuk, Karol, Lochner, Christine, López-Alvarado, Silvia, Lukavská, Kateřina, Mayta-Tristán, Percy, Milea, Ion, Miller, Dan J., Orosová, Oľga, Orosz, Gábor, Ponce, Fernando P., Quintana, Gonzalo R., Garzola, Gabriel C. Quintero, Ramos-Diaz, Jano, Rigaud, Kévin, Rousseau, Ann, Scanavino, Marco De Tubino, Schulmeyer, Marion K., Sharan, Pratap, Shibata, Mami, Shoib, Sheikh, Sigre-Leirós, Vera, Sniewski, Luke, Spasovski, Ognen, Steibliene, Vesta, Stein, Dan J., Strizek, Julian, Štulhofer, Aleksandar, Ünsal, Berk C., Vaillancourt-Morel, Marie-Pier, Van Hout, Marie Claire, and Bőthe, Beáta

Published
2024
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78. Cross-cultural validation and measurement invariance of anxiety and depression symptoms: A study of the Brief Symptom Inventory (BSI) in 42 countries

Author

Quintana, Gonzalo R., Ponce, Fernando P., Escudero-Pastén, Javier I., Santibáñez-Palma, Juan F., Nagy, Léna, Koós, Mónika, Kraus, Shane W., Demetrovics, Zsolt, Potenza, Marc N., Ballester-Arnal, Rafael, Batthyány, Dominik, Bergeron, Sophie, Billieux, Joël, Briken, Peer, Burkauskas, Julius, Cárdenas-López, Georgina, Carvalho, Joana, Castro-Calvo, Jesús, Chen, Lijun, Ciocca, Giacomo, Corazza, Ornella, Csako, Rita I., Fernandez, David P., Fernandez, Elaine F., Fujiwara, Hironobu, Fuss, Johannes, Gabrhelík, Roman, Gewirtz-Meydan, Ateret, Gjoneska, Biljana, Gola, Mateusz, Grubbs, Joshua B., Hashim, Hashim T., Islam, Md. Saiful, Ismail, Mustafa, Jiménez-Martínez, Martha C., Jurin, Tanja, Kalina, Ondrej, Klein, Verena, Költő, András, Lee, Chih-Ting, Lee, Sang-Kyu, Lewczuk, Karol, Lin, Chung-Ying, Lochner, Christine, López-Alvarado, Silvia, Lukavská, Kateřina, Mayta-Tristán, Percy, Miller, Dan J., Orosová, Oľga, Orosz, Gábor, Quintero Garzola, Gabriel C., Ramos-Diaz, Jano, Rigaud, Kévin, Rousseau, Ann, Scanavino, Marco De Tubino, Schulmeyer, Marion K., Sharan, Pratap, Shibata, Mami, Shoib, Sheikh, Sigre-Leirós, Vera, Sniewski, Luke, Spasovski, Ognen, Steibliene, Vesta, Stein, Dan J., Ünsal, Berk C., Vaillancourt-Morel, Marie-Pier, Van Hout, Marie Claire, and Bőthe, Beáta

Published
2024
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84. Validity and Reliability of a Pictorial Instrument for Assessing Movement Skill Perceived Competence in Chinese Children

Author

Li, Xuanxi, Chen, Lijun, Diao, Yucui, Li, Jing, Lovell, Nigel H., Advisory Editor, Oneto, Luca, Advisory Editor, Piotto, Stefano, Advisory Editor, Rossi, Federico, Advisory Editor, Samsonovich, Alexei V., Advisory Editor, Babiloni, Fabio, Advisory Editor, Liwo, Adam, Advisory Editor, Magjarevic, Ratko, Advisory Editor, Kuan, Garry, editor, Chang, Yu-Kai, editor, Morris, Tony, editor, Eng Wah, Teo, editor, Musa, Rabiu Muazu, editor, and P. P. Abdul Majeed, Anwar, editor

Published
2023
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99. Smoothed Least-Laxity-First Algorithm for EV Charging

Author

Chen, Niangjun, Kurniawan, Christian, Nakahira, Yorie, Chen, Lijun, and Low, Steven H.

Subjects
Electrical Engineering and Systems Science - Systems and Control, Mathematics - Optimization and Control
Abstract

Adaptive charging can charge electric vehicles (EVs) at scale cost effectively, despite the uncertainty in EV arrivals. We formulate adaptive EV charging as a feasibility problem that meets all EVs' energy demands before their deadlines while satisfying constraints in charging rate and total charging power. We propose an online algorithm, smoothed least-laxity-first (sLLF), that decides the current charging rates without the knowledge of future arrivals and demands. We characterize the performance of the sLLF algorithm analytically and numerically. Numerical experiments with real-world data show that it has a significantly higher rate of feasible EV charging than several other existing EV charging algorithms. Resource augmentation framework is employed to assess the feasibility condition of the algorithm. The assessment shows that the sLLF algorithm achieves perfect feasibility with only a 0.07 increase in resources., Comment: 14 pages, 4 figures

Published
2021

100. Panorama: A Framework to Support Collaborative Context Monitoring on Co-Located Mobile Devices

Author

Alanezi, Khaled, Zhou, Xinyang, Chen, Lijun, and Mishra, Shivakant

Subjects
Computer Science - Distributed, Parallel, and Cluster Computing
Abstract

A key challenge in wide adoption of sophisticated context-aware applications is the requirement of continuous sensing and context computing. This paper presents Panorama, a middleware that identifies collaboration opportunities to offload context computing tasks to nearby mobile devices as well as cloudlets/cloud. At the heart of Panorama is a multi-objective optimizer that takes into account different constraints such as access cost, computation capability, access latency, energy consumption and data privacy, and efficiently computes a collaboration plan optimized simultaneously for different objectives such as minimizing cost, energy and/or execution time. Panorama provides support for discovering nearby devices and cloudlets/cloud, computing an optimal collaboration plan, distributing computation to participating devices, and getting the results back. The paper provides an extensive evaluation of Panorama via two representative context monitoring applications over a set of Android devices and a cloudlet/cloud under different constraints., Comment: Published in MobiCase 2015

Published
2021
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