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781 results on '"Li, Yuanfang"'

1. Low-Carbon and Economic Synergy Optimization Configuration for Microgrid With Hydrogen Energy Storage

Author

TAN Lingling, SUN Peng, GUO Peixuan, LI Yuanfang, JI Xingquan, and ZHANG Yumin

Subjects
microgrid, hydrogen energy storage, new energy, low-carbon, carbon trading, capacity planning, demand response, optimization configuration, Applications of electric power, TK4001-4102, Production of electric energy or power. Powerplants. Central stations, TK1001-1841, Science
Abstract

ObjectivesTraditional electric energy storage has limitations in scale, duration, and environmental impact.Moreover, the renewable energy absorption capacity in the microgrid is low, and low-carbon and economy cannot be taken into account in planning. In order to solve the above problems, based on the basic working principle of hydrogen energy storage, hydrogen energy storage was incorporated into the microgrid instead of traditional electric energy storage, and a low-carbon and economic synergy bi-level optimization configuration model of microgrid with hydrogen energy storage was established.MethodsThe upper-level planning model aimed at minimizing the comprehensive equivalent annual value of the microgrid, based on the joint operation of electricity and hydrogen. The carbon trading mechanism was introduced to plan the capacity of various power generation equipments in the microgrid, which can enhance the low-carbon of the system. The lower-level operation model aimed to minimize the sum of the absolute values of the difference between the new energy output and the load demand. The model also encouraged users to adopt diversified demand-side response behaviors with the goal of accurately tracking the new energy output curve, and feeded back the user’s energy consumption behavior to the upper-level model to optimize the load curve. On the basis of improving the absorption capacity of new energy, the system economy is further improved, deeply exploring the synergy between the low-carbon and economic characteristics of microgrids.ResultsThe simulation results of microgrid in a certain industrial park show that the proposed method yields a planning scheme with excellent low-carbon and economy. Compared with the traditional planning method, the low-carbon and economy are improved by 53.6% and 37.1%, respectively.ConclusionsThe model presented in this paper not only enhances the capacity for new energy absorption but also further improves the system economic performance. It achieves a synergistic enhancement of the microgrid low-carbon and economy.

Published
2024
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2. From Planning Stage Towards FAIR Data: A Practical Metadatasheet For Biomedical Scientists

Author

Seep, Lea, Grein, Stephan, Splichalova, Iva, Ran, Danli, Mikhael, Mickel, Hildebrand, Staffan, Lauterbach, Mario, Hiller, Karsten, Ribeiro, Dalila Juliana Silva, Sieckmann, Katharina, Kardinal, Ronja, Huang, Hao, Yu, Jiangyan, Kallabis, Sebastian, Behrens, Janina, Till, Andreas, Peeva, Viktoriya, Strohmeyer, Akim, Bruder, Johanna, Blum, Tobias, Soriano-Arroquia, Ana, Tischer, Dominik, Kuellmer, Katharina, Li, Yuanfang, Beyer, Marc, Gellner, Anne-Kathrin, Fromme, Tobias, Wackerhage, Henning, Klingenspor, Martin, Fenske, Wiebke K., Scheja, Ludger, Meissner, Felix, Schlitzer, Andreas, Mass, Elvira, Wachten, Dagmar, Latz, Eicke, Pfeifer, Alexander, and Hasenauer, Jan

Published
2024
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5. DNG: Taxonomy Expansion by Exploring the Intrinsic Directed Structure on Non-gaussian Space

Author

Zhai, Songlin, Wang, Weiqing, Li, Yuanfang, and Meng, Yuan

Subjects
Computer Science - Artificial Intelligence
Abstract

Taxonomy expansion is the process of incorporating a large number of additional nodes (i.e., "queries") into an existing taxonomy (i.e., "seed"), with the most important step being the selection of appropriate positions for each query. Enormous efforts have been made by exploring the seed's structure. However, existing approaches are deficient in their mining of structural information in two ways: poor modeling of the hierarchical semantics and failure to capture directionality of is-a relation. This paper seeks to address these issues by explicitly denoting each node as the combination of inherited feature (i.e., structural part) and incremental feature (i.e., supplementary part). Specifically, the inherited feature originates from "parent" nodes and is weighted by an inheritance factor. With this node representation, the hierarchy of semantics in taxonomies (i.e., the inheritance and accumulation of features from "parent" to "child") could be embodied. Additionally, based on this representation, the directionality of is-a relation could be easily translated into the irreversible inheritance of features. Inspired by the Darmois-Skitovich Theorem, we implement this irreversibility by a non-Gaussian constraint on the supplementary feature. A log-likelihood learning objective is further utilized to optimize the proposed model (dubbed DNG), whereby the required non-Gaussianity is also theoretically ensured. Extensive experimental results on two real-world datasets verify the superiority of DNG relative to several strong baselines., Comment: 7figures

Published
2023

17. Finite element analysis of inclined wall construction process of super high-rise core tube

Author

Zhao, Yipeng, Ren, Baoshuang, Li, Yuanfang, Chan, Albert P. C., Series Editor, Hong, Wei-Chiang, Series Editor, Mellal, Mohamed Arezki, Series Editor, Narayanan, Ramadas, Series Editor, Nguyen, Quang Ngoc, Series Editor, Ong, Hwai Chyuan, Series Editor, Sachsenmeier, Peter, Series Editor, Sun, Zaicheng, Series Editor, Ullah, Sharif, Series Editor, Wu, Junwei, Series Editor, Zhang, Wei, Series Editor, Bilgin, Hüseyin, editor, Wen, Jiwei, editor, and Rahhal, Muhsin Elie, editor

Published
2023
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21. Pairing of single-cell RNA analysis and T cell antigen receptor profiling indicates breakdown of T cell tolerance checkpoints in atherosclerosis

Author

Wang, Zhihua, Zhang, Xi, Lu, Shu, Zhang, Chuankai, Ma, Zhe, Su, Rui, Li, Yuanfang, Sun, Ting, Li, Yutao, Hong, Mingyang, Deng, Xinyi, Rafiee Monjezi, Mohammad, Hristov, Michael, Steffens, Sabine, Santovito, Donato, Dornmair, Klaus, Ley, Klaus, Weber, Christian, Mohanta, Sarajo K., Habenicht, Andreas J. R., and Yin, Changjun

Published
2023
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31. Molecular Imaging of Fibroblast Activity After Myocardial Infarction Using a 68Ga-Labeled Fibroblast Activation Protein Inhibitor, FAPI-04

Author

Varasteh, Zohreh, Mohanta, Sarajo, Robu, Stephanie, Braeuer, Miriam, Li, Yuanfang, Omidvari, Negar, Topping, Geoffrey, Sun, Ting, Nekolla, Stephan G, Richter, Antonia, Weber, Christian, Habenicht, Andreas, Haberkorn, Uwe A, and Weber, Wolfgang A

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Heart Disease, Heart Disease - Coronary Heart Disease, Cardiovascular, Biomedical Imaging, 4.1 Discovery and preclinical testing of markers and technologies, Detection, screening and diagnosis, Good Health and Well Being, Animals, Feasibility Studies, Fibroblasts, Gallium Radioisotopes, Isotope Labeling, Male, Membrane Proteins, Myocardial Infarction, Positron Emission Tomography Computed Tomography, Quinolines, Rats, Rats, Wistar, myocardial infarction, cardiac remodeling, fibroblast activation protein, molecular imaging, PET, Nuclear Medicine & Medical Imaging, Clinical sciences
Abstract

Heart failure remains a major source of late morbidity and mortality after myocardial infarction (MI). The temporospatial presence of activated fibroblasts in the injured myocardium predicts the quality of cardiac remodeling after MI. Therefore, monitoring of activated fibroblasts is of great interest for studying cardiac remodeling after MI. Fibroblast activation protein (FAP) expression is upregulated in activated fibroblasts. This study investigated the feasibility of imaging activated fibroblasts with a new 68Ga-labeled FAP inhibitor (68Ga-FAPI-04) for PET imaging of fibroblast activation in a preclinical model of MI. Methods: MI and sham-operated rats were scanned with 68Ga-FAPI-04 PET/CT (1, 3, 6, 14, 23, and 30 d after MI) and with 18F-FDG (3 d after MI). Dynamic 68Ga-FAPI-04 PET and blocking studies were performed on MI rats 7 d after coronary ligation. After in vivo scans, the animals were euthanized and their hearts harvested for ex vivo analyses. Cryosections were prepared for autoradiography, hematoxylin and eosin (H&E), and immunofluorescence staining. Results: 68Ga-FAPI-04 uptake in the injured myocardium peaked on day 6 after coronary ligation. The tracer accumulated intensely in the MI territory, as identified by decreased 18F-FDG uptake and confirmed by PET/MR and H&E staining. Autoradiography and H&E staining of cross-sections revealed that 68Ga-FAPI-04 accumulated mainly at the border zone of the infarcted myocardium. In contrast, there was only minimal uptake in the infarct of the blocked rats, comparable to the uptake in the remote noninfarcted myocardium (PET image-derived ratio of infarct uptake to remote uptake: 6 ± 2). Immunofluorescence staining confirmed the presence of FAP-positive myofibroblasts in the injured myocardium. Morphometric analysis of the whole-heart sections demonstrated 3- and 8-fold higher FAP-positive fibroblast density in the border zone than in the infarct center and remote area, respectively. Conclusion: 68Ga-FAPI-04 represents a promising radiotracer for in vivo imaging of post-MI fibroblast activation. Noninvasive imaging of activated fibroblasts may have significant diagnostic and prognostic value, which could aid clinical management of patients after MI.

Published
2019

39. Neuroimmune cardiovascular interfaces control atherosclerosis

Author

Mohanta, Sarajo K., Peng, Li, Li, Yuanfang, Lu, Shu, Sun, Ting, Carnevale, Lorenzo, Perrotta, Marialuisa, Ma, Zhe, Förstera, Benjamin, Stanic, Karen, Zhang, Chuankai, Zhang, Xi, Szczepaniak, Piotr, Bianchini, Mariaelvy, Saeed, Borhan R., Carnevale, Raimondo, Hu, Desheng, Nosalski, Ryszard, Pallante, Fabio, Beer, Michael, Santovito, Donato, Ertürk, Ali, Mettenleiter, Thomas C., Klupp, Barbara G., Megens, Remco T. A., Steffens, Sabine, Pelisek, Jaroslav, Eckstein, Hans-Henning, Kleemann, Robert, Habenicht, Livia, Mallat, Ziad, Michel, Jean-Baptiste, Bernhagen, Jürgen, Dichgans, Martin, D’Agostino, Giuseppe, Guzik, Tomasz J., Olofsson, Peder S., Yin, Changjun, Weber, Christian, Lembo, Giuseppe, Carnevale, Daniela, and Habenicht, Andreas J. R.

Published
2022
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47. CATERPILLAR: Coarse Grain Reconfigurable Architecture for Accelerating the Training of Deep Neural Networks

Author

Li, Yuanfang and Pedram, Ardavan

Subjects
Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Learning, Computer Science - Neural and Evolutionary Computing
Abstract

Accelerating the inference of a trained DNN is a well studied subject. In this paper we switch the focus to the training of DNNs. The training phase is compute intensive, demands complicated data communication, and contains multiple levels of data dependencies and parallelism. This paper presents an algorithm/architecture space exploration of efficient accelerators to achieve better network convergence rates and higher energy efficiency for training DNNs. We further demonstrate that an architecture with hierarchical support for collective communication semantics provides flexibility in training various networks performing both stochastic and batched gradient descent based techniques. Our results suggest that smaller networks favor non-batched techniques while performance for larger networks is higher using batched operations. At 45nm technology, CATERPILLAR achieves performance efficiencies of 177 GFLOPS/W at over 80% utilization for SGD training on small networks and 211 GFLOPS/W at over 90% utilization for pipelined SGD/CP training on larger networks using a total area of 103.2 mm$^2$ and 178.9 mm$^2$ respectively., Comment: ASAP 2017: The 28th Annual IEEE International Conference on Application-specific Systems, Architectures and Processors

Published
2017

48. Intelligent Soft Quasi‐Organism Equipped with Sensor‐Driven Integrated Tentacles.

Author

Liu, Chang, Luo, Jinan, Liu, Haidong, Fu, Junxin, Liu, Houfang, Tang, Hao, Deng, Zhikang, Wu, Jingzhi, Li, Yuanfang, Liu, Chuting, Peng, Shiqi, Hu, Juxin, Ren, Tian‐Ling, Zhou, Jianhua, and Qiao, Yancong

Abstract

Integration of soft electronic system components is critical to create a closed‐loop system that seamlessly integrates sensing, driving, processing, and autonomous control capabilities. However, the existence of these components, particularly sensors and actuators, in isolated or discrete forms complicates the endeavor to achieve seamless interface matching and in situ integration, no more than the autonomic system. Here, an intelligent soft quasi‐organism (SQO) equipped with sensor‐driven integrated tentacles is demonstrated, featuring real‐time state recognition and autonomous object recognition inspired by the sea anemones. By employing a heterogeneous mechanisms homotopic integration (HMHI) strategy, the tentacles of the SQO possess the unique ability to simultaneously perceive state changes and flexibly drive motions, utilizing the same material and structure. The sea anemone‐shaped SQO exhibits real‐time autonomous state identification capabilities through the integration of machine learning and customized circuits, attaining 100% recognition accuracy across sixteen states. With a neuromuscular system that facilitates active autonomous perception, the anemone‐shaped SQO can recognize and intelligently grasp static objects with an accuracy of 80.7%, surpassing that of a human hand (74.7%). The SQO provides a promising approach for realizing artificial neuromuscular systems, with great potential for applications in crucial areas such as intelligent soft robotics and in vivo therapy. [ABSTRACT FROM AUTHOR]

Published
2024
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