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Article ; Online: Analysis on the Trust Game in Second-hand Transection

Cui Yuchen

E3S Web of Conferences, Vol 235, p

2021 Volume 03081

Abstract: In modern society, every one of us is fully aware that trust and credit are the substantial principle that we must own to build up our relationship, networking or individual development from beginning of birth to end of journey. Thus, trust and credit ... ...

Abstract	In modern society, every one of us is fully aware that trust and credit are the substantial principle that we must own to build up our relationship, networking or individual development from beginning of birth to end of journey. Thus, trust and credit are undoubted basis for our social composition, especially at current stage, where e-commerce or e-trade mode change our traditional way of life significantly. One interesting thing we are witnessing is that, more and more popularity of the online second-hand product market, so how to understand trust game theory properly, with follow-up the rule to implement in this market, is essentially important for both of the buyer and the seller. Herein this article, some real cases’ studies from China second hand market will help reader for this purpose illustration. This study contains much of the current study and discoveries of trust game and second-hand transaction market in China. Based on the previous knowledge, the suggestions for both consumers and the second-hand market producers are given.
Keywords	Environmental sciences ; GE1-350
Language	English
Publishing date	2021-01-01T00:00:00Z
Publisher	EDP Sciences
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: High-G MEMS Accelerometer Calibration Denoising Method Based on EMD and Time-Frequency Peak Filtering.

Wang, Chenguang / Cui, Yuchen / Liu, Yang / Li, Ke / Shen, Chong

Micromachines

2023 Volume 14, Issue 5

Abstract: In order to remove noise generated during the accelerometer calibration process, an accelerometer denoising method based on empirical mode decomposition (EMD) and time-frequency peak filtering (TFPF) is proposed in this paper. Firstly, a new design of ... ...

Abstract	In order to remove noise generated during the accelerometer calibration process, an accelerometer denoising method based on empirical mode decomposition (EMD) and time-frequency peak filtering (TFPF) is proposed in this paper. Firstly, a new design of the accelerometer structure is introduced and analyzed by finite element analysis software. Then, an algorithm combining EMD and TFPF is proposed for the first time to deal with the noise of the accelerometer calibration process. Specific steps taken are to remove the intrinsic mode function (IMF) component of the high frequency band after the EMD decomposition, and then to use the TFPF algorithm to process the IMF component of the medium frequency band; meanwhile, the IMF component of the low frequency band is reserved, and finally the signal is reconstructed. The reconstruction results show that the algorithm can effectively suppress the random noise generated during the calibration process. The results of spectrum analysis show that EMD + TFPF can effectively protect the characteristics of the original signal and that the error can be controlled within 0.5%. Finally, Allan variance is used to analyze the results of the three methods to verify the filtering effect. The results show that the filtering effect of EMD + TFPF is the most obvious, being 97.4% higher than the original data.
Language	English
Publishing date	2023-04-28
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2620864-7
ISSN	2072-666X
ISSN	2072-666X
DOI	10.3390/mi14050970
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Article ; Online: Binary Transition-Metal Sulfides/MXene Synergistically Promote Polysulfide Adsorption and Conversion in Lithium-Sulfur Batteries.

Cui, Yuchen / Zhou, Xiaoya / Huang, Xin / Xu, Lei / Tang, Shaochun

ACS applied materials & interfaces

2023 Volume 15, Issue 42, Page(s) 49223–49232

Abstract: Currently, severe shuttle effects and sluggish conversion kinetics are the main obstacles to the advancement of lithium-sulfur (Li-S) batteries. Modification of the battery separator by a catalyst is a promising approach to tackle these problems, but ... ...

Abstract	Currently, severe shuttle effects and sluggish conversion kinetics are the main obstacles to the advancement of lithium-sulfur (Li-S) batteries. Modification of the battery separator by a catalyst is a promising approach to tackle these problems, but simultaneously obtaining rich catalytic active sites, high conductivity, and remarkable stability remains a great challenge. Herein, a flower-like MXene/MoS
Language	English
Publishing date	2023-10-15
Publishing country	United States
Document type	Journal Article
ISSN	1944-8252
ISSN (online)	1944-8252
DOI	10.1021/acsami.3c11170
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Article: First Detection and Genomic Characterization of Bovine Norovirus from Yak.

Cui, Yuchen / Chen, Xi / Yue, Hua / Tang, Cheng

Pathogens (Basel, Switzerland)

2022 Volume 11, Issue 2

Abstract: Yak are a unique free-grazing bovine species in high-altitude areas. The objective of this study was to investigate the presence and molecular characteristics of BNoV in yak. A total of 205 diarrheal samples of yak (aged ≤ 3 months) were collected from ... ...

Abstract	Yak are a unique free-grazing bovine species in high-altitude areas. The objective of this study was to investigate the presence and molecular characteristics of BNoV in yak. A total of 205 diarrheal samples of yak (aged ≤ 3 months) were collected from 10 farms in Sichuan Province, China, from May 2018 to October 2020, and four samples were detected as BNoV-positive with RT-PCR. Moreover, a nearly full-length genome of SMU-YAK-J1 containing three complete ORFs was successfully sequenced. Sequence analysis with only nine genome sequences of the GIII genogroup showed that SMU-YAK-J1 was most closely related with GIII.P2 GIII.4, sharing 90.9% gnomic nucleotide identity, but only shared 71.6-85.9% with other genotypes, which confirmed that SMU-YAK-J1 belongs to genotype GIII.P2 GIII.4. However, compared with the sole genome of GIII.4 in GenBank, the BNoV in this study also exhibited many unique amino acid changes among all the three ORFs, which may represent the unique genetic evolution of BNoV in yak. This study first determined the presence of BNoV in yak, contributing to a better understanding of the prevalence and genetic evolution of BNoV.
Language	English
Publishing date	2022-01-31
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2695572-6
ISSN	2076-0817
ISSN	2076-0817
DOI	10.3390/pathogens11020192
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Article: First Detection and Genomic Characterization of Bovine Norovirus from Yak

Cui, Yuchen / Chen, Xi / Yue, Hua / Tang, Cheng

Pathogens. 2022 Jan. 31, v. 11, no. 2

2022

Abstract	Yak are a unique free-grazing bovine species in high-altitude areas. The objective of this study was to investigate the presence and molecular characteristics of BNoV in yak. A total of 205 diarrheal samples of yak (aged ≤ 3 months) were collected from 10 farms in Sichuan Province, China, from May 2018 to October 2020, and four samples were detected as BNoV-positive with RT-PCR. Moreover, a nearly full-length genome of SMU-YAK-J1 containing three complete ORFs was successfully sequenced. Sequence analysis with only nine genome sequences of the GIII genogroup showed that SMU-YAK-J1 was most closely related with GIII.P2 GIII.4, sharing 90.9% gnomic nucleotide identity, but only shared 71.6–85.9% with other genotypes, which confirmed that SMU-YAK-J1 belongs to genotype GIII.P2 GIII.4. However, compared with the sole genome of GIII.4 in GenBank, the BNoV in this study also exhibited many unique amino acid changes among all the three ORFs, which may represent the unique genetic evolution of BNoV in yak. This study first determined the presence of BNoV in yak, contributing to a better understanding of the prevalence and genetic evolution of BNoV.
Keywords	Norovirus ; altitude ; amino acids ; cattle ; diarrhea ; evolution ; genome ; genomics ; genotype ; sequence analysis ; yaks ; China
Language	English
Dates of publication	2022-0131
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article
ZDB-ID	2695572-6
ISSN	2076-0817
ISSN	2076-0817
DOI	10.3390/pathogens11020192
Database	NAL-Catalogue (AGRICOLA)

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Book ; Online: HYDRA

Belkhale, Suneel / Cui, Yuchen / Sadigh, Dorsa

Hybrid Robot Actions for Imitation Learning

2023

Abstract: Imitation Learning (IL) is a sample efficient paradigm for robot learning using expert demonstrations. However, policies learned through IL suffer from state distribution shift at test time, due to compounding errors in action prediction which lead to ... ...

Abstract	Imitation Learning (IL) is a sample efficient paradigm for robot learning using expert demonstrations. However, policies learned through IL suffer from state distribution shift at test time, due to compounding errors in action prediction which lead to previously unseen states. Choosing an action representation for the policy that minimizes this distribution shift is critical in imitation learning. Prior work propose using temporal action abstractions to reduce compounding errors, but they often sacrifice policy dexterity or require domain-specific knowledge. To address these trade-offs, we introduce HYDRA, a method that leverages a hybrid action space with two levels of action abstractions: sparse high-level waypoints and dense low-level actions. HYDRA dynamically switches between action abstractions at test time to enable both coarse and fine-grained control of a robot. In addition, HYDRA employs action relabeling to increase the consistency of actions in the dataset, further reducing distribution shift. HYDRA outperforms prior imitation learning methods by 30-40% on seven challenging simulation and real world environments, involving long-horizon tasks in the real world like making coffee and toasting bread. Videos are found on our website: https://tinyurl.com/3mc6793z
Keywords	Computer Science - Robotics
Subject code	629
Publishing date	2023-06-29
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Book ; Online: Data Quality in Imitation Learning

Belkhale, Suneel / Cui, Yuchen / Sadigh, Dorsa

2023

Abstract: In supervised learning, the question of data quality and curation has been over-shadowed in recent years by increasingly more powerful and expressive models that can ingest internet-scale data. However, in offline learning for robotics, we simply lack ... ...

Abstract	In supervised learning, the question of data quality and curation has been over-shadowed in recent years by increasingly more powerful and expressive models that can ingest internet-scale data. However, in offline learning for robotics, we simply lack internet scale data, and so high quality datasets are a necessity. This is especially true in imitation learning (IL), a sample efficient paradigm for robot learning using expert demonstrations. Policies learned through IL suffer from state distribution shift at test time due to compounding errors in action prediction, which leads to unseen states that the policy cannot recover from. Instead of designing new algorithms to address distribution shift, an alternative perspective is to develop new ways of assessing and curating datasets. There is growing evidence that the same IL algorithms can have substantially different performance across different datasets. This calls for a formalism for defining metrics of "data quality" that can further be leveraged for data curation. In this work, we take the first step toward formalizing data quality for imitation learning through the lens of distribution shift: a high quality dataset encourages the policy to stay in distribution at test time. We propose two fundamental properties that shape the quality of a dataset: i) action divergence: the mismatch between the expert and learned policy at certain states; and ii) transition diversity: the noise present in the system for a given state and action. We investigate the combined effect of these two key properties in imitation learning theoretically, and we empirically analyze models trained on a variety of different data sources. We show that state diversity is not always beneficial, and we demonstrate how action divergence and transition diversity interact in practice.
Keywords	Computer Science - Robotics ; Computer Science - Machine Learning
Subject code	006
Publishing date	2023-06-04
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Controllable assembly/disassembly of polyphenol-DNA nanocomplex for cascade-responsive drug release in cancer cells.

Han, Jinpeng / Cui, Yuchen / Gu, Zi / Yang, Dayong

Biomaterials

2021 Volume 273, Page(s) 120846

Abstract: Developing nanocarrier systems with sufficient drug loading ability and efficient drug release behavior in cells is a powerful strategy to maximize therapeutic efficacies and minimize side effects of administered drugs. However, the two aspects are ... ...

Abstract	Developing nanocarrier systems with sufficient drug loading ability and efficient drug release behavior in cells is a powerful strategy to maximize therapeutic efficacies and minimize side effects of administered drugs. However, the two aspects are usually contradictory in a single nanocarrier. Herein, polyphenol-DNA nanocomplex with controllable assembly/disassembly behaviors is developed for responsive and sequential drug release in cancer cells. Programmable assembly of branched-DNA achieves multiple-gene loading, afterwards tannic acid (TA), plant-derived polyphenols as drugs mediate assembly of branched-DNA to form nanocomplex. Intracellularly, two-step disassembly process of nanocomplex enables efficient gene/drug release. Lysosomal acidic microenvironment induces the disassembly of nanocomplex to release TA and branched-DNA. Glutathione and DNase I in cytoplasm trigger the precise release of genes from branched-DNA. The efficacy of multiple-gene/chemo-therapy is demonstrated using in vitro and in vivo models. This work provides a controllable assembly/disassembly route to resolve the conflict between sufficient drug loading and efficient drug release in cells for therapeutics.
MeSH term(s)	DNA/therapeutic use ; Drug Carriers/therapeutic use ; Drug Liberation ; Humans ; Neoplasms/drug therapy ; Polyphenols ; Tumor Microenvironment
Chemical Substances	Drug Carriers ; Polyphenols ; DNA (9007-49-2)
Language	English
Publishing date	2021-04-23
Publishing country	Netherlands
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	603079-8
ISSN	1878-5905 ; 0142-9612
ISSN (online)	1878-5905
ISSN	0142-9612
DOI	10.1016/j.biomaterials.2021.120846
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Article ; Online: Fosl2 Deficiency Predisposes Mice to Osteopetrosis, Leading to Bone Marrow Failure.

Chen, Jinfeng / Wen, Yi / Lin, Lili / Cui, Yuchen / Chen, Zhenyu / Gao, Jing / Zhuang, Yifang / Chen, Qi

Journal of immunology (Baltimore, Md. : 1950)

2024 Volume 212, Issue 7, Page(s) 1081–1093

Abstract: Arthritis causes Fos-like 2 (Fosl2) inactivation, and various immune cells contribute to its pathogenesis. However, little is known about the role of Fosl2 in hematopoiesis and the possible pathological role of Fosl2 inactivation in the hematopoietic ... ...

Abstract	Arthritis causes Fos-like 2 (Fosl2) inactivation, and various immune cells contribute to its pathogenesis. However, little is known about the role of Fosl2 in hematopoiesis and the possible pathological role of Fosl2 inactivation in the hematopoietic system in arthritis. In this study, we show that Fosl2 maintains hematopoietic stem cell (HSC) quiescence and differentiation while controlling the inflammatory response via macrophages. Fosl2-specific deletion in the hematopoietic system caused the expansion of HSCs and myeloid cell growth while affecting erythroid and B cell differentiation. Fosl2 inactivation enhanced macrophage M1 polarization and stimulated proinflammatory cytokines and myeloid growth factors, skewing HSCs toward myeloid cell differentiation, similar to hematopoietic alterations in arthritic mice. Loss of Fosl2 mediated by Vav-iCre also displays an unexpected deletion in embryonic erythro-myeloid progenitor-derived osteoclasts, leading to osteopetrosis and anemia. The reduced bone marrow cellularity in Vav-iCreFosl2f/f mice is a consequence of the reduced bone marrow space in osteopetrotic mice rather than a direct role of Fosl2 in hematopoiesis. Thus, Fosl2 is indispensable for erythro-myeloid progenitor-derived osteoclasts to maintain the medullary cavity to ensure normal hematopoiesis. These findings improve our understanding of the pathogenesis of bone-destructive diseases and provide important implications for developing therapeutic approaches for these diseases.
MeSH term(s)	Animals ; Mice ; Arthritis/pathology ; Bone Marrow Failure Disorders/pathology ; Cell Differentiation ; Hematopoiesis/genetics ; Hematopoietic Stem Cells ; Osteopetrosis/genetics ; Osteopetrosis/pathology ; Fos-Related Antigen-2/genetics
Chemical Substances	Fosl2 protein, mouse ; Fos-Related Antigen-2
Language	English
Publishing date	2024-02-21
Publishing country	United States
Document type	Journal Article
ZDB-ID	3056-9
ISSN	1550-6606 ; 0022-1767 ; 1048-3233 ; 1047-7381
ISSN (online)	1550-6606
ISSN	0022-1767 ; 1048-3233 ; 1047-7381
DOI	10.4049/jimmunol.2300592
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Article: Temperature Drift Compensation for Four-Mass Vibration MEMS Gyroscope Based on EMD and Hybrid Filtering Fusion Method.

Li, Zhong / Cui, Yuchen / Gu, Yikuan / Wang, Guodong / Yang, Jian / Chen, Kai / Cao, Huiliang

Micromachines

2023 Volume 14, Issue 5

Abstract: This paper presents an improved empirical modal decomposition (EMD) method to eliminate the influence of the external environment, accurately compensate for the temperature drift of MEMS gyroscopes, and improve their accuracy. This new fusion algorithm ... ...

Abstract	This paper presents an improved empirical modal decomposition (EMD) method to eliminate the influence of the external environment, accurately compensate for the temperature drift of MEMS gyroscopes, and improve their accuracy. This new fusion algorithm combines empirical mode decomposition (EMD), a radial basis function neural network (RBF NN), a genetic algorithm (GA), and a Kalman filter (KF). First, the working principle of a newly designed four-mass vibration MEMS gyroscope (FMVMG) structure is given. The specific dimensions of the FMVMG are also given through calculation. Second, finite element analysis is carried out. The simulation results show that the FMVMG has two working modes: a driving mode and a sensing mode. The resonant frequency of the driving mode is 30,740 Hz, and the resonant frequency of the sensing mode is 30,886 Hz. The frequency separation between the two modes is 146 Hz. Moreover, a temperature experiment is performed to record the output value of the FMVMG, and the proposed fusion algorithm is used to analyse and optimise the output value of the FMVMG. The processing results show that the EMD-based RBF NN+GA+KF fusion algorithm can compensate for the temperature drift of the FMVMG effectively. The final result indicates that the random walk is reduced from 99.608°/h/Hz
Language	English
Publishing date	2023-04-28
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2620864-7
ISSN	2072-666X
ISSN	2072-666X
DOI	10.3390/mi14050971
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