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  1. Article: 'Chenguang', a new tetraploid Chinese jujube cultivar

    Liu, Ping / Dai, Li / Liu, Mengjun / Jiang, Hong'en / Zhao, Zhihui / Wang, Jiurui

    Fruits

    2012  Volume 67, Issue 4, Page(s) 293

    Language English
    Document type Article
    ZDB-ID 240538-6
    ISSN 0016-2299 ; 0248-1294 ; 0248-1324
    Database Current Contents Nutrition, Environment, Agriculture

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  2. Article ; Online: Rhesus monkeys learn to control a directional-key inspired brain machine interface via bio-feedback

    Chenguang Zhang / Hao Wang / Shaohua Tang / Zheng Li

    PLoS ONE, Vol 19, Iss

    2024  Volume 1

    Keywords Medicine ; R ; Science ; Q
    Language English
    Publishing date 2024-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: A Physical Measure for Characterizing Crossover from Integrable to Chaotic Quantum Systems.

    Lyu, Chenguang Y / Wang, Wen-Ge

    Entropy (Basel, Switzerland)

    2023  Volume 25, Issue 2

    Abstract: In this paper, a quantity that describes a response of a system's eigenstates to a very small perturbation of physical relevance is studied as a measure for characterizing crossover from integrable to chaotic quantum systems. It is computed from the ... ...

    Abstract In this paper, a quantity that describes a response of a system's eigenstates to a very small perturbation of physical relevance is studied as a measure for characterizing crossover from integrable to chaotic quantum systems. It is computed from the distribution of very small, rescaled components of perturbed eigenfunctions on the unperturbed basis. Physically, it gives a relative measure to prohibition of level transitions induced by the perturbation. Making use of this measure, numerical simulations in the so-called Lipkin-Meshkov-Glick model show in a clear way that the whole integrability-chaos transition region is divided into three subregions: a nearly integrable regime, a nearly chaotic regime, and a crossover regime.
    Language English
    Publishing date 2023-02-17
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2014734-X
    ISSN 1099-4300 ; 1099-4300
    ISSN (online) 1099-4300
    ISSN 1099-4300
    DOI 10.3390/e25020366
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Rhesus monkeys learn to control a directional-key inspired brain machine interface via bio-feedback.

    Chenguang Zhang / Hao Wang / Shaohua Tang / Zheng Li

    PLoS ONE, Vol 19, Iss 1, p e

    2024  Volume 0286742

    Abstract: Brain machine interfaces (BMI) connect brains directly to the outside world, bypassing natural neural systems and actuators. Neuronal-activity-to-motion transformation algorithms allow applications such as control of prosthetics or computer cursors. ... ...

    Abstract Brain machine interfaces (BMI) connect brains directly to the outside world, bypassing natural neural systems and actuators. Neuronal-activity-to-motion transformation algorithms allow applications such as control of prosthetics or computer cursors. These algorithms lie within a spectrum between bio-mimetic control and bio-feedback control. The bio-mimetic approach relies on increasingly complex algorithms to decode neural activity by mimicking the natural neural system and actuator relationship while focusing on machine learning: the supervised fitting of decoder parameters. On the other hand, the bio-feedback approach uses simple algorithms and relies primarily on user learning, which may take some time, but can facilitate control of novel, non-biological appendages. An increasing amount of work has focused on the arguably more successful bio-mimetic approach. However, as chronic recordings have become more accessible and utilization of novel appendages such as computer cursors have become more universal, users can more easily spend time learning in a bio-feedback control paradigm. We believe a simple approach which leverages user learning and few assumptions will provide users with good control ability. To test the feasibility of this idea, we implemented a simple firing-rate-to-motion correspondence rule, assigned groups of neurons to virtual "directional keys" for control of a 2D cursor. Though not strictly required, to facilitate initial control, we selected neurons with similar preferred directions for each group. The groups of neurons were kept the same across multiple recording sessions to allow learning. Two Rhesus monkeys used this BMI to perform a center-out cursor movement task. After about a week of training, monkeys performed the task better and neuronal signal patterns changed on a group basis, indicating learning. While our experiments did not compare this bio-feedback BMI to bio-mimetic BMIs, the results demonstrate the feasibility of our control paradigm and paves the way for further research ...
    Keywords Medicine ; R ; Science ; Q
    Subject code 629
    Language English
    Publishing date 2024-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article: Mitogenomes Provide Insights into the Species Boundaries and Phylogenetic Relationships among Three

    Zheng, Chenguang / Zhu, Xiuxiu / Wang, Ying / Dong, Xue / Yang, Ruijuan / Tang, Zechen / Bu, Wenjun

    Insects

    2024  Volume 15, Issue 2

    Abstract: 1) Background: The three sloe bugs, ...

    Abstract (1) Background: The three sloe bugs,
    Language English
    Publishing date 2024-02-17
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2662247-6
    ISSN 2075-4450
    ISSN 2075-4450
    DOI 10.3390/insects15020134
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Chinese consumer preference for beef with geographical indications and other attributes.

    Fu, Rao / Li, Chenguang / Wang, Liming / Gao, Zhifeng

    Meat science

    2024  Volume 212, Page(s) 109475

    Abstract: As the demand for beef products grows in the Chinese market, understanding consumer preferences for beef, especially those related to quality labelling, is essential. The recent agreement between China and the European Union to promote Geographical ... ...

    Abstract As the demand for beef products grows in the Chinese market, understanding consumer preferences for beef, especially those related to quality labelling, is essential. The recent agreement between China and the European Union to promote Geographical Indications (GIs) provides a new insight into preferences for beef with quality labelling. This paper assesses consumer preferences for beef products with GIs and other attributes. A nationwide survey is conducted including 1210 respondents in China by a choice experiment attributing GI label, 'green', 'hazard-free', and 'organic' labels, feeding regimes (grain-fed, grass-fed), country of origin (China, Ireland, Australia, Brazil), and price (30, 40, 80, 100 ¥/500 g). The random parameter logit model with error component reveals that Chinese consumers have a significant preference for grain-fed beef and domestic beef, and they are willing to pay a premium price for GI-labelled beef compared with other attributes. The interaction between GIs and country of origin is included to indicate the positive price impact of GIs on imported beef products. Demographic factors such as place of residence and occupation are found to affect consumer preferences for GIs.
    MeSH term(s) Humans ; Animals ; Cattle ; Taste ; Consumer Behavior ; Surveys and Questionnaires ; Asian People ; Ireland
    Language English
    Publishing date 2024-03-01
    Publishing country England
    Document type Journal Article
    ZDB-ID 753319-6
    ISSN 1873-4138 ; 0309-1740
    ISSN (online) 1873-4138
    ISSN 0309-1740
    DOI 10.1016/j.meatsci.2024.109475
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Contrastive Prototype-Guided Generation for Generalized Zero-Shot Learning.

    Wang, Yunyun / Mao, Jian / Guo, Chenguang / Chen, Songcan

    Neural networks : the official journal of the International Neural Network Society

    2024  Volume 176, Page(s) 106324

    Abstract: Generalized zero-shot learning (GZSL) aims to recognize both seen and unseen classes, while only samples from seen classes are available for training. The mainstream methods mitigate the lack of unseen training data by simulating the visual unseen ... ...

    Abstract Generalized zero-shot learning (GZSL) aims to recognize both seen and unseen classes, while only samples from seen classes are available for training. The mainstream methods mitigate the lack of unseen training data by simulating the visual unseen samples. However, the sample generator is actually learned with just seen-class samples, and semantic descriptions of unseen classes are just provided to the pre-trained sample generator for unseen data generation, therefore, the generator would have bias towards seen categories, and the unseen generation quality, including both precision and diversity, is still the main learning challenge. To this end, we propose a Prototype-Guided Generation for Generalized Zero-Shot Learning (PGZSL), in order to guide the sample generation with unseen knowledge. First, unseen data generation is guided and rectified in PGZSL by contrastive prototypical anchors with both class semantic consistency and feature discriminability. Second, PGZSL introduces Certainty-Driven Mixup for generator to enrich the diversity of generated unseen samples, while suppress the generation of uncertain boundary samples as well. Empirical results over five benchmark datasets show that PGZSL significantly outperforms the SOTA methods in both ZSL and GZSL tasks.
    Language English
    Publishing date 2024-04-15
    Publishing country United States
    Document type Journal Article
    ZDB-ID 740542-x
    ISSN 1879-2782 ; 0893-6080
    ISSN (online) 1879-2782
    ISSN 0893-6080
    DOI 10.1016/j.neunet.2024.106324
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Rhesus monkeys learn to control a directional-key inspired brain machine interface via bio-feedback.

    Zhang, Chenguang / Wang, Hao / Tang, Shaohua / Li, Zheng

    PloS one

    2024  Volume 19, Issue 1, Page(s) e0286742

    Abstract: Brain machine interfaces (BMI) connect brains directly to the outside world, bypassing natural neural systems and actuators. Neuronal-activity-to-motion transformation algorithms allow applications such as control of prosthetics or computer cursors. ... ...

    Abstract Brain machine interfaces (BMI) connect brains directly to the outside world, bypassing natural neural systems and actuators. Neuronal-activity-to-motion transformation algorithms allow applications such as control of prosthetics or computer cursors. These algorithms lie within a spectrum between bio-mimetic control and bio-feedback control. The bio-mimetic approach relies on increasingly complex algorithms to decode neural activity by mimicking the natural neural system and actuator relationship while focusing on machine learning: the supervised fitting of decoder parameters. On the other hand, the bio-feedback approach uses simple algorithms and relies primarily on user learning, which may take some time, but can facilitate control of novel, non-biological appendages. An increasing amount of work has focused on the arguably more successful bio-mimetic approach. However, as chronic recordings have become more accessible and utilization of novel appendages such as computer cursors have become more universal, users can more easily spend time learning in a bio-feedback control paradigm. We believe a simple approach which leverages user learning and few assumptions will provide users with good control ability. To test the feasibility of this idea, we implemented a simple firing-rate-to-motion correspondence rule, assigned groups of neurons to virtual "directional keys" for control of a 2D cursor. Though not strictly required, to facilitate initial control, we selected neurons with similar preferred directions for each group. The groups of neurons were kept the same across multiple recording sessions to allow learning. Two Rhesus monkeys used this BMI to perform a center-out cursor movement task. After about a week of training, monkeys performed the task better and neuronal signal patterns changed on a group basis, indicating learning. While our experiments did not compare this bio-feedback BMI to bio-mimetic BMIs, the results demonstrate the feasibility of our control paradigm and paves the way for further research in multi-dimensional bio-feedback BMIs.
    MeSH term(s) Animals ; Brain-Computer Interfaces ; Macaca mulatta ; Feedback ; Biofeedback, Psychology/methods ; Algorithms ; Brain/physiology ; User-Computer Interface
    Language English
    Publishing date 2024-01-17
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0286742
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: Conceptualization and Measurement of Flow in a Chinese Blended English as a Foreign Language Learning Context.

    Wang, Xin / Huang, Chenguang

    Frontiers in psychology

    2022  Volume 13, Page(s) 839267

    Abstract: This study takes a holistic view of flow and anti-flow experiences as interactive subsystems in blended English as a foreign language (EFL) learning and examines the dynamic complex construct in the field of instructed second language acquisition (ISLA). ...

    Abstract This study takes a holistic view of flow and anti-flow experiences as interactive subsystems in blended English as a foreign language (EFL) learning and examines the dynamic complex construct in the field of instructed second language acquisition (ISLA). We first rephrased the 22-item
    Language English
    Publishing date 2022-01-27
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2563826-9
    ISSN 1664-1078
    ISSN 1664-1078
    DOI 10.3389/fpsyg.2022.839267
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Mechanical Properties and Reaction Kinetics of Alkali-Activated Metakaolin.

    Cui, Chao / Dang, Yingze / Luo, Chenguang / Wang, Lan / Peng, Hui

    Materials (Basel, Switzerland)

    2024  Volume 17, Issue 2

    Abstract: In this study, the influence of the physicochemical properties and proportioning conditions of metakaolin on the mechanical properties of the synthesized metakaolin geopolymers was comprehensively evaluated, and the issue of the reaction control ... ...

    Abstract In this study, the influence of the physicochemical properties and proportioning conditions of metakaolin on the mechanical properties of the synthesized metakaolin geopolymers was comprehensively evaluated, and the issue of the reaction control mechanism for the formation of mechanical properties during the synthesis of geopolymers was addressed. The reaction mechanism was analyzed by SEM and FTIR, and the kinetic analysis of the geopolymerization process was carried out using isothermal calorimetry combined with the Jander model. The test results show that the physicochemical properties of the metakaolin and the proportioning conditions together affect the mechanical properties of the geopolymer, with the correlation between the active aluminum content of the metakaolin and the strength of the geopolymer reaching over 0.87. The early stages of the geopolymerization reaction are all controlled by nucleation-growth mechanisms (
    Language English
    Publishing date 2024-01-11
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2487261-1
    ISSN 1996-1944
    ISSN 1996-1944
    DOI 10.3390/ma17020367
    Database MEDical Literature Analysis and Retrieval System OnLINE

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