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  1. Artikel: Mechanism of Shrinkage in Compacted Graphite Iron and Prediction of Shrinkage Tendency.

    Liu, Zeyu / Shi, Dequan / Gao, Guili / Feng, Yicheng

    Materials (Basel, Switzerland)

    2022  Band 15, Heft 23

    Abstract: Shrinkage greatly influences the mechanical and fatigue properties of compacted graphite iron and it is necessary in order to study the causes of shrinkage in compacted graphite iron and to predict it effectively. In this paper, a kind of cylindrical ... ...

    Abstract Shrinkage greatly influences the mechanical and fatigue properties of compacted graphite iron and it is necessary in order to study the causes of shrinkage in compacted graphite iron and to predict it effectively. In this paper, a kind of cylindrical necking test sample was designed to evaluate the shrinkage in compacted graphite iron, and a method to calculate the size of shrinkage was proposed. By observing the microstructure around the shrinkage zone, it is concluded that concentrated shrinkage mainly appears in the solidification region where the dendritic gap is closed, and the isolated shrinkage mainly occurs in the final solidification region, and the supersaturated carbon elements are gathered on the surface of the shrinkage. The cause of shrinkage in compacted graphite iron is caused by its solidification method, where the austenite dendrites and the eutectic clusters are generated close to the melt zone during the solidification process, leading to the inability to feed the shrinkage. Based on the thermodynamic analysis, the equations between the volume change of each phase, solid phase rate, and time during solidification of compacted graphite iron were established to theoretically explain the formation mechanism of the shrinkage. Taking nine parameters such as the chemical elements and characteristic values of thermal analysis as the input nods, a four-layer BP neural network model for predicting the size of shrinkage in compacted graphite iron was constructed, and the R-squared of the model reached 97%, which indicates it could be used to predict the shrinkage tendency.
    Sprache Englisch
    Erscheinungsdatum 2022-11-25
    Erscheinungsland Switzerland
    Dokumenttyp Journal Article
    ZDB-ID 2487261-1
    ISSN 1996-1944
    ISSN 1996-1944
    DOI 10.3390/ma15238413
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  2. Buch ; Online: Learning Multi-Object Positional Relationships via Emergent Communication

    Feng, Yicheng / An, Boshi / Lu, Zongqing

    2023  

    Abstract: The study of emergent communication has been dedicated to interactive artificial intelligence. While existing work focuses on communication about single objects or complex image scenes, we argue that communicating relationships between multiple objects ... ...

    Abstract The study of emergent communication has been dedicated to interactive artificial intelligence. While existing work focuses on communication about single objects or complex image scenes, we argue that communicating relationships between multiple objects is important in more realistic tasks, but understudied. In this paper, we try to fill this gap and focus on emergent communication about positional relationships between two objects. We train agents in the referential game where observations contain two objects, and find that generalization is the major problem when the positional relationship is involved. The key factor affecting the generalization ability of the emergent language is the input variation between Speaker and Listener, which is realized by a random image generator in our work. Further, we find that the learned language can generalize well in a new multi-step MDP task where the positional relationship describes the goal, and performs better than raw-pixel images as well as pre-trained image features, verifying the strong generalization ability of discrete sequences. We also show that language transfer from the referential game performs better in the new task than learning language directly in this task, implying the potential benefits of pre-training in referential games. All in all, our experiments demonstrate the viability and merit of having agents learn to communicate positional relationships between multiple objects through emergent communication.

    Comment: 15 pages
    Schlagwörter Computer Science - Machine Learning ; Computer Science - Artificial Intelligence ; Computer Science - Computation and Language
    Thema/Rubrik (Code) 401
    Erscheinungsdatum 2023-02-15
    Erscheinungsland us
    Dokumenttyp Buch ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  3. Buch ; Online: Steve-Eye

    Zheng, Sipeng / Liu, Jiazheng / Feng, Yicheng / Lu, Zongqing

    Equipping LLM-based Embodied Agents with Visual Perception in Open Worlds

    2023  

    Abstract: Recent studies have presented compelling evidence that large language models (LLMs) can equip embodied agents with the self-driven capability to interact with the world, which marks an initial step toward versatile robotics. However, these efforts tend ... ...

    Abstract Recent studies have presented compelling evidence that large language models (LLMs) can equip embodied agents with the self-driven capability to interact with the world, which marks an initial step toward versatile robotics. However, these efforts tend to overlook the visual richness of open worlds, rendering the entire interactive process akin to "a blindfolded text-based game." Consequently, LLM-based agents frequently encounter challenges in intuitively comprehending their surroundings and producing responses that are easy to understand. In this paper, we propose Steve-Eye, an end-to-end trained large multimodal model designed to address this limitation. Steve-Eye integrates the LLM with a visual encoder which enables it to process visual-text inputs and generate multimodal feedback. In addition, we use a semi-automatic strategy to collect an extensive dataset comprising 850K open-world instruction pairs, empowering our model to encompass three essential functions for an agent: multimodal perception, foundational knowledge base, and skill prediction and planning. Lastly, we develop three open-world evaluation benchmarks, then carry out extensive experiments from a wide range of perspectives to validate our model's capability to strategically act and plan. Codes and datasets will be released.

    Comment: 19 pages, 19 figures
    Schlagwörter Computer Science - Computer Vision and Pattern Recognition
    Erscheinungsdatum 2023-10-19
    Erscheinungsland us
    Dokumenttyp Buch ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  4. Artikel: Effect of Solution Treatment Time on Microstructure Evolution and Properties of Mg-3Y-4Nd-2Al Alloy.

    Zhao, Lili / Zhao, Sicong / Feng, Yicheng / Wang, Lei / Fan, Rui / Ma, Tao / Wang, Liping

    Materials (Basel, Switzerland)

    2023  Band 16, Heft 6

    Abstract: In order to explore the microstructure evolution of an Mg-RE alloy refined by Al during solution treatment, an Mg-3Y-4Nd-2Al alloy was treated at 545 °C for different time periods. Phase evolution of the alloy was investigated. After solution treatment, ... ...

    Abstract In order to explore the microstructure evolution of an Mg-RE alloy refined by Al during solution treatment, an Mg-3Y-4Nd-2Al alloy was treated at 545 °C for different time periods. Phase evolution of the alloy was investigated. After solution treatment, the Mg-RE eutectic phase in the Mg-3Y-4Nd-2Al alloy dissolves, the granular Al
    Sprache Englisch
    Erscheinungsdatum 2023-03-22
    Erscheinungsland Switzerland
    Dokumenttyp Journal Article
    ZDB-ID 2487261-1
    ISSN 1996-1944
    ISSN 1996-1944
    DOI 10.3390/ma16062512
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  5. Artikel ; Online: Powder Synthesis and Characterization of Al

    Li, Yanchun / Sui, Yi / Feng, Yicheng / Zhang, Yu / Li, Yan / Song, Meihui / Gong, Shulin / Xie, Yang

    ACS omega

    2024  Band 9, Heft 16, Seite(n) 18358–18365

    Abstract: ... The ... ...

    Abstract The Al
    Sprache Englisch
    Erscheinungsdatum 2024-04-11
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ISSN 2470-1343
    ISSN (online) 2470-1343
    DOI 10.1021/acsomega.4c00291
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  6. Buch ; Online: LLaMA Rider

    Feng, Yicheng / Wang, Yuxuan / Liu, Jiazheng / Zheng, Sipeng / Lu, Zongqing

    Spurring Large Language Models to Explore the Open World

    2023  

    Abstract: Recently, various studies have leveraged Large Language Models (LLMs) to help decision-making and planning in environments, and try to align the LLMs' knowledge with the world conditions. Nonetheless, the capacity of LLMs to continuously acquire ... ...

    Abstract Recently, various studies have leveraged Large Language Models (LLMs) to help decision-making and planning in environments, and try to align the LLMs' knowledge with the world conditions. Nonetheless, the capacity of LLMs to continuously acquire environmental knowledge and adapt in an open world remains uncertain. In this paper, we propose an approach to spur LLMs to explore the open world, gather experiences, and learn to improve their task-solving capabilities. In this approach, a multi-round feedback-revision mechanism is utilized to encourage LLMs to actively select appropriate revision actions guided by feedback information from the environment. This facilitates exploration and enhances the model's performance. Besides, we integrate sub-task relabeling to assist LLMs in maintaining consistency in sub-task planning and help the model learn the combinatorial nature between tasks, enabling it to complete a wider range of tasks through training based on the acquired exploration experiences. By evaluation in Minecraft, an open-ended sandbox world, we demonstrate that our approach LLaMA-Rider enhances the efficiency of the LLM in exploring the environment, and effectively improves the LLM's ability to accomplish more tasks through fine-tuning with merely 1.3k instances of collected data, showing minimal training costs compared to the baseline using reinforcement learning.

    Comment: 18 pages
    Schlagwörter Computer Science - Machine Learning
    Thema/Rubrik (Code) 004
    Erscheinungsdatum 2023-10-13
    Erscheinungsland us
    Dokumenttyp Buch ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  7. Artikel: Effect of Al Content on Microstructure Evolution and Mechanical Properties of As-Cast Mg-11Gd-2Y-1Zn Alloy.

    Fu, Yuanke / Wang, Liping / Zhao, Sicong / Feng, Yicheng / Wang, Lei

    Materials (Basel, Switzerland)

    2021  Band 14, Heft 23

    Abstract: In the present paper, the Mg-11Gd-2Y-1Zn alloys with different Al addition were fabricated by the gravity permanent mold method. The effect of Al content on microstructure evolution and mechanical properties of as-cast Mg-11Gd-2Y-1Zn alloy was studied by ...

    Abstract In the present paper, the Mg-11Gd-2Y-1Zn alloys with different Al addition were fabricated by the gravity permanent mold method. The effect of Al content on microstructure evolution and mechanical properties of as-cast Mg-11Gd-2Y-1Zn alloy was studied by metallographic microscope, scanning electron microscope, XRD and tensile testing. The experimental results showed that the microstructure of as-cast Mg-11Gd-2Y-1Zn alloy consisted of α-Mg phase and island-shaped Mg
    Sprache Englisch
    Erscheinungsdatum 2021-11-24
    Erscheinungsland Switzerland
    Dokumenttyp Journal Article
    ZDB-ID 2487261-1
    ISSN 1996-1944
    ISSN 1996-1944
    DOI 10.3390/ma14237145
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  8. Artikel: Nanotherapeutics Overcoming the Blood-Brain Barrier for Glioblastoma Treatment.

    Tang, Lin / Feng, Yicheng / Gao, Sai / Mu, Qingchun / Liu, Chaoyong

    Frontiers in pharmacology

    2021  Band 12, Seite(n) 786700

    Abstract: Glioblastoma (GBM) is the most common malignant primary brain tumor with a poor prognosis. The current standard treatment regimen represented by temozolomide/radiotherapy has an average survival time of 14.6 months, while the 5-year survival rate is ... ...

    Abstract Glioblastoma (GBM) is the most common malignant primary brain tumor with a poor prognosis. The current standard treatment regimen represented by temozolomide/radiotherapy has an average survival time of 14.6 months, while the 5-year survival rate is still less than 5%. New therapeutics are still highly needed to improve the therapeutic outcome of GBM treatment. The blood-brain barrier (BBB) is the main barrier that prevents therapeutic drugs from reaching the brain. Nanotechnologies that enable drug delivery across the BBB hold great promise for the treatment of GBM. This review summarizes various drug delivery systems used to treat glioma and focuses on their approaches for overcoming the BBB to enhance the accumulation of small molecules, protein and gene drugs, etc. in the brain.
    Sprache Englisch
    Erscheinungsdatum 2021-11-25
    Erscheinungsland Switzerland
    Dokumenttyp Journal Article ; Review
    ZDB-ID 2587355-6
    ISSN 1663-9812
    ISSN 1663-9812
    DOI 10.3389/fphar.2021.786700
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  9. Artikel ; Online: Classical Active Ingredients and Extracts of Chinese Herbal Medicines: Pharmacokinetics, Pharmacodynamics, and Molecular Mechanisms for Ischemic Stroke.

    Zhu, Ting / Wang, Lei / Feng, Yicheng / Sun, Guibo / Sun, Xiaobo

    Oxidative medicine and cellular longevity

    2021  Band 2021, Seite(n) 8868941

    Abstract: Stroke is a leading cause of death and disability worldwide, and approximately 87% of cases are attributed to ischemia. The main factors that cause ischemic stroke include excitotoxicity, energy metabolism disorder, ... ...

    Abstract Stroke is a leading cause of death and disability worldwide, and approximately 87% of cases are attributed to ischemia. The main factors that cause ischemic stroke include excitotoxicity, energy metabolism disorder, Ca
    Mesh-Begriff(e) Animals ; Drugs, Chinese Herbal/analysis ; Drugs, Chinese Herbal/chemistry ; Drugs, Chinese Herbal/pharmacokinetics ; Drugs, Chinese Herbal/therapeutic use ; Humans ; Ischemic Stroke/drug therapy ; Ischemic Stroke/genetics ; Metabolome ; Molecular Targeted Therapy ; Plant Extracts/analysis
    Chemische Substanzen Drugs, Chinese Herbal ; Plant Extracts
    Sprache Englisch
    Erscheinungsdatum 2021-03-13
    Erscheinungsland United States
    Dokumenttyp Journal Article ; Review
    ZDB-ID 2455981-7
    ISSN 1942-0994 ; 1942-0994
    ISSN (online) 1942-0994
    ISSN 1942-0994
    DOI 10.1155/2021/8868941
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  10. Artikel: Microstructure and Mechanical Properties of EK30 Alloy Synergistically Reinforced by Ag Alloying and Hot Extrusion for Aerospace Applications.

    Zhang, Daohe / Zhao, Sicong / Chen, Hongtao / Feng, Yicheng / Guo, Erjun / Li, Jingfang

    Materials (Basel, Switzerland)

    2022  Band 15, Heft 23

    Abstract: Enhancing the mechanical properties of magnesium alloys to meet the urgent need for their lightweight applications in the aerospace field has always been a great challenge. Herein, the effect of Ag on the microstructure and tensile properties of the Mg-2. ...

    Abstract Enhancing the mechanical properties of magnesium alloys to meet the urgent need for their lightweight applications in the aerospace field has always been a great challenge. Herein, the effect of Ag on the microstructure and tensile properties of the Mg-2.5Nd-1.0Sm-0.4Zn-0.1Ca-0.5Zr (EK30) alloy prepared by integrated extrusion and equal-channel angular pressing is studied. The microstructure of as-extruded alloys consists of
    Sprache Englisch
    Erscheinungsdatum 2022-12-02
    Erscheinungsland Switzerland
    Dokumenttyp Journal Article
    ZDB-ID 2487261-1
    ISSN 1996-1944
    ISSN 1996-1944
    DOI 10.3390/ma15238613
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