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  1. Article ; Online: Putting it Together, Together.

    Zheng, Chen / Tversky, Barbara

    Cognitive science

    2024  Volume 48, Issue 2, Page(s) e13405

    Abstract: People are not as fast or as strong as many other creatures that evolved around us. What gives us an evolutionary advantage is working together to achieve common aims. Coordinating joint action begins at a tender age with such cooperative activities as ... ...

    Abstract People are not as fast or as strong as many other creatures that evolved around us. What gives us an evolutionary advantage is working together to achieve common aims. Coordinating joint action begins at a tender age with such cooperative activities as alternating babbling and clapping games. Adult joint activities are far more complex and use multiple means of coordination. Joint action has attracted qualitative analyses by sociolinguists, cognitive scientists, and philosophers as well as empirical analyses and theories by cognitive scientists. Here, we analyze how joint action is spontaneously coordinated from start to finish in a novel complex real-life joint activity, assembling a piece of furniture, a task that captures the essentials of joint action, collaborators, things in the world, and communicative devices. Pairs of strangers assembled a TV cart from a stack of parts and a photo of the completed cart. Coordination prior to each assembly action was coded as explicit, using speech or gesture, or implicit, actions that both advanced the task and communicated the next step. Initial planning relied on explicit communication about structure, but not action nor division of labor, which were improvised. That served to establish a joint representation of the goal that informed actions and monitored progress. As assembly progressed, coordination was increasingly implicit, through actions alone. Joint action is a dynamic interplay of explicit and implicit signaling with respect to things in the world to coordinate ongoing progress, guided by a shared representation of the goal.
    MeSH term(s) Adult ; Humans ; Cooperative Behavior ; Psychomotor Performance ; Communication ; Speech ; Biological Evolution
    Language English
    Publishing date 2024-02-02
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2002940-8
    ISSN 1551-6709 ; 0364-0213
    ISSN (online) 1551-6709
    ISSN 0364-0213
    DOI 10.1111/cogs.13405
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Metal–Organic Frameworks for the Enhancement of Lithium‐Based Batteries

    Anthony U. Mu / Guorui Cai / Zheng Chen

    Advanced Science, Vol 11, Iss 2, Pp n/a-n/a (2024)

    A Mini Review on Emerging Functional Designs

    2024  

    Abstract: Abstract Metal–organic frameworks (MOFs) have played a crucial role in recent advancements in developing lithium‐based battery electrolytes, electrodes, and separators. Although many MOF‐based battery components rely on their well‐defined porosity and ... ...

    Abstract Abstract Metal–organic frameworks (MOFs) have played a crucial role in recent advancements in developing lithium‐based battery electrolytes, electrodes, and separators. Although many MOF‐based battery components rely on their well‐defined porosity and controllable functionality, they also boast a myriad of other significant properties relevant to battery applications. In this mini‐review, the distinct advantages of MOFs in battery applications are discussed, including using MOFs to 1) scavenge impurities to increase cycling stability, 2) widen the operation temperature range of conventional electrolytes, 3) widen the operation voltage range of common electrolytes, and 4) employ as artificial solid‐electrolyte interphases to prevent lithium dendrite growth. Furthermore, subsisting challenges of developing these emerging MOF‐based battery technologies are discussed and guidance for shaping the future of this field is given.
    Keywords cycling stability ; lithium‐based batteries ; metal–organic frameworks ; wide operation voltage ; wide‐temperature operation ; Science ; Q
    Subject code 620
    Language English
    Publishing date 2024-01-01T00:00:00Z
    Publisher Wiley
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Latent profile analysis of depression among empty nesters in China.

    Zheng, Chen / Zhang, Huijun

    Journal of affective disorders

    2023  Volume 347, Page(s) 541–548

    Abstract: Objectives: The study aimed to explore the depression profile of empty nesters and to identify heterogeneous subgroups in the elderly population. It explored the influencing factors of depression in elderly people with different depression profiles, ... ...

    Abstract Objectives: The study aimed to explore the depression profile of empty nesters and to identify heterogeneous subgroups in the elderly population. It explored the influencing factors of depression in elderly people with different depression profiles, with a view to provide a reference basis for improving the depression situation of empty-nesting elderly people.
    Methods: This study used the Chinese Longitudinal Healthy Lifespan Survey (CLHLS) survey data, with empty nesters over 60 as the research subjects. Latent profile analysis (LPA) was used to fit potential classes of depression in empty nesters; chi-square tests, Kruskal-Wallis, and multinomial logistic regression were used to explore the factors influencing different depression profiles in older adults.
    Results: A total of 4481 subjects were included in this study and were classified as low-level (11.6 %), moderate-level (51.6 %), and high-level (36.8 %). Compared to the low-level, the influencing factors for the high-level were IADL, anxiety, self-rated health, exercise, and education; and the influencing factors for the medium level group were anxiety, self-rated health, drink, and education. Factors influencing high-level relative to the mid-level group were IADL, anxiety, residence, self-rated health, exercise, and limited in activities.
    Limitations: The CESD-10, as a screening tool, could not completely determine the presence of depression in high levels of empty nesters.
    Conclusions: Psychological problems arising from depression among empty nesters seriously affected their overall health, and targeted intervention strategies should be developed for different categories of older adults to improve depression and enhance health-related quality of life.
    MeSH term(s) Humans ; Aged ; Depression/diagnosis ; Depression/epidemiology ; Quality of Life/psychology ; Surveys and Questionnaires ; Cross-Sectional Studies ; China/epidemiology
    Language English
    Publishing date 2023-12-11
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 135449-8
    ISSN 1573-2517 ; 0165-0327
    ISSN (online) 1573-2517
    ISSN 0165-0327
    DOI 10.1016/j.jad.2023.12.027
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Psychometric properties of the Chinese version of the health behavior motivation scale: a translation and validation study.

    Ge, Yuanhui / Zheng, Chen / Wang, Xin / Liu, Tao

    Frontiers in psychology

    2024  Volume 15, Page(s) 1279816

    Abstract: Objective: This study's objectives were to translate the Health Behavior Motivation Scale (HBMS) into Chinese and verify the scale's validity and reliability among Chinese healthy adults.: Method: The HBMS scales were translated into Chinese based on ...

    Abstract Objective: This study's objectives were to translate the Health Behavior Motivation Scale (HBMS) into Chinese and verify the scale's validity and reliability among Chinese healthy adults.
    Method: The HBMS scales were translated into Chinese based on Brislin's principles. The Chinese version of HBMS is created through translation, back translation, and cross-cultural adaptation. This investigation implemented the convenience sampling method to conduct a survey on 781 healthy respondents, utilizing the Chinese version of the HBMS and a general demographic questionnaire. We used AMOS (v28.0) and SPSS (v26.0) for statistical analysis. We employed test-retest reliability, split-half reliability, and internal consistency to assess the reliability of the translation questionnaire. Structure validity and content validity were used to assess validity.
    Results: The Chinese version of the Health Behavior Motivation Scale (HBMS) had a Cronbach's alpha coefficient of 0.885, and the range of Cronbach's alpha values for each dimension was 0.820-0.885. The scale's test-retest reliability was 0.824, and its split-half reliability was 0.906. Five public factors with a cumulative variance contribution of 56.527% were retrieved from the exploratory factor analysis. Moreover, the factor loading value for each item exceeded 0.4.In confirmatory factor analysis, the indicators were reported as follows: χ
    Conclusion: The Chinese version of the HBMS exhibits strong discrimination, validity, and reliability. The tool effectively identifies the motivation of healthy people to engage in healthy behaviors. It can be used by healthcare practitioners to assist in the development of follow-up interventions to reduce the prevalence of chronic disease in older people and the incidence of chronic disease in populations of young and middle-aged people.
    Language English
    Publishing date 2024-01-17
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2563826-9
    ISSN 1664-1078
    ISSN 1664-1078
    DOI 10.3389/fpsyg.2024.1279816
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Computer-Aided Drug Design towards New Psychotropic and Neurological Drugs

    Georgia Dorahy / Jake Zheng Chen / Thomas Balle

    Molecules, Vol 28, Iss 1324, p

    2023  Volume 1324

    Abstract: Central nervous system (CNS) disorders are a therapeutic area in drug discovery where demand for new treatments greatly exceeds approved treatment options. This is complicated by the high failure rate in late-stage clinical trials, resulting in ... ...

    Abstract Central nervous system (CNS) disorders are a therapeutic area in drug discovery where demand for new treatments greatly exceeds approved treatment options. This is complicated by the high failure rate in late-stage clinical trials, resulting in exorbitant costs associated with bringing new CNS drugs to market. Computer-aided drug design (CADD) techniques minimise the time and cost burdens associated with drug research and development by ensuring an advantageous starting point for pre-clinical and clinical assessments. The key elements of CADD are divided into ligand-based and structure-based methods. Ligand-based methods encompass techniques including pharmacophore modelling and quantitative structure activity relationships (QSARs), which use the relationship between biological activity and chemical structure to ascertain suitable lead molecules. In contrast, structure-based methods use information about the binding site architecture from an established protein structure to select suitable molecules for further investigation. In recent years, deep learning techniques have been applied in drug design and present an exciting addition to CADD workflows. Despite the difficulties associated with CNS drug discovery, advances towards new pharmaceutical treatments continue to be made, and CADD has supported these findings. This review explores various CADD techniques and discusses applications in CNS drug discovery from 2018 to November 2022.
    Keywords structure-based drug design ; ligand-based drug design ; artificial intelligence ; docking ; QSAR ; pharmacophore ; Organic chemistry ; QD241-441
    Subject code 540
    Language English
    Publishing date 2023-01-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Research on the impact of irregular structure group construction on rail transit bridge piers and its response to wind load

    Yan Wang / Zheng Chen / Yi Qi

    Scientific Reports, Vol 13, Iss 1, Pp 1-

    2023  Volume 15

    Abstract: Abstract The possibility of deformation and collision in existing railway bridge foundation structures due to the construction of a group of large irregular structures in close proximity and their potential for overturning under strong wind loads is ... ...

    Abstract Abstract The possibility of deformation and collision in existing railway bridge foundation structures due to the construction of a group of large irregular structures in close proximity and their potential for overturning under strong wind loads is posed as a potential threat. The impact of the construction of large irregular sculptures on bridge piers and their response under strong wind loads is primarily investigated in this study. A modeling method based on real 3D spatial information of the bridge structure, geological structure, and sculpture structure is proposed to accurately reflect their spatial relationships. Finite difference method is employed to analyze the impact of sculpture structure construction on pier deformations and ground settlement. The bridge structure exhibits small overall deformation, with maximum horizontal and vertical displacements of the piers located at the edge of the bent cap on the side of the critical neighboring bridge pier J24 adjacent to the sculpture. A fluid–solid coupling model of the interaction between the sculpture structure and wind loads with two different direction is established using computational fluid dynamics, and theoretical analysis and numerical calculations are conducted on the sculpture's anti-overturning performance. The internal force indicators such as displacement, stress, and moment of the sculpture structure in the flow field under two working conditions are studied, and comparative analysis of typical structures is conducted. It is shown that sculpture A and B have different unfavorable wind directions and specific internal force distributions and response patterns due to the influence of size effects. Under both working conditions, the sculpture structure remains safe and stable.
    Keywords Medicine ; R ; Science ; Q
    Subject code 690
    Language English
    Publishing date 2023-06-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Wedge shaped decompression to remove ear cartilage for a patient with an ear intradermal nevi.

    Jian, Qi-Chao / Xu, Xi-Dan / Hu, Meng-Yao / Zheng, Chen

    Asian journal of surgery

    2024  

    Language English
    Publishing date 2024-03-29
    Publishing country Netherlands
    Document type Letter
    ZDB-ID 1068461-x
    ISSN 0219-3108 ; 1015-9584
    ISSN (online) 0219-3108
    ISSN 1015-9584
    DOI 10.1016/j.asjsur.2024.03.097
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: MicroRNA-let-7 Targets HMGA2 to Regulate the Proliferation, Migration, and Invasion of Colon Cancer Cell HCT116

    Zheng Chen / Jiheng Liu

    Evidence-Based Complementary and Alternative Medicine, Vol

    2021  Volume 2021

    Abstract: Objective. To investigate the effect of microRNA-let-7 (miR-let-7) on the proliferation, migration, and invasion of colon cancer cell HCT116 in vitro and its regulatory mechanism on downstream HMGA2. Methods. It was planned to synthesize miR-let-7 ... ...

    Abstract Objective. To investigate the effect of microRNA-let-7 (miR-let-7) on the proliferation, migration, and invasion of colon cancer cell HCT116 in vitro and its regulatory mechanism on downstream HMGA2. Methods. It was planned to synthesize miR-let-7 overexpression (mimics) and interference expression (inhibitor) and transiently transfect colon cancer cell HCT116, detect the expression levels of miR-let-7 and HMGA2 in the cells after transfection and the targeted regulation effect of miR-let-7 on HMGA2, then detect the effect of upregulation/downregulation of miR-let-7 on HMGA2, and detect the proliferation, migration, and invasion of HCT116 cells. Results. The expression of miR-let-7 was downregulated, and the expression of HMGA2 was upregulated in HCT116. The expression of miR-let-7 increased significantly after HCT116 was transfected with miR-let-7 mimics. The expression of miR-let-7 decreased significantly after HCT116 was transfected with miR-let-7 inhibitor. The bioinformatics websites predicted that miR-let-7 has a binding site with HMGA2, and the dual-luciferase reporter gene experiment detected that miR-let-7 has a targeting relationship with HMGA2. The expression of HMGA2 decreased after HCT116 was transfected with miR-let-7 mimics; the expression of HMGA2 increased after HCT116 was transfected with miR-let-7 inhibitor. After upregulating miR-let-7, the proliferation, migration, and invasion ability of HCT116 was weakened. After miR-let-7 was inhibited, the proliferation, migration, and invasion ability of HCT116 was enhanced. Conclusion. Abnormal expression of miR-let-7 is an important factor affecting the proliferation, migration, and invasion of HCT116 cells, and it can promote or inhibit the biological behavior of cancer cells by targeting the expression of HMGA2. This study provides ideas for the drug development of new gene targets.
    Keywords Other systems of medicine ; RZ201-999
    Subject code 500
    Language English
    Publishing date 2021-01-01T00:00:00Z
    Publisher Hindawi Limited
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Think Twice

    Wei Gou / Zheng Chen

    Applied Sciences, Vol 11, Iss 5832, p

    A Post-Processing Approach for the Chinese Spelling Error Correction

    2021  Volume 5832

    Abstract: Chinese Spelling Error Correction is a hot subject in the field of natural language processing. Researchers have already produced many great solutions, from the initial rule-based solution to the current deep learning method. At present, SpellGCN, ... ...

    Abstract Chinese Spelling Error Correction is a hot subject in the field of natural language processing. Researchers have already produced many great solutions, from the initial rule-based solution to the current deep learning method. At present, SpellGCN, proposed by Alibaba’s team, achieves the best results of which character level precision over SIGHAN2013 is 98.4%. However, when we apply this algorithm to practical error correction tasks, it produces many false error correction results. We believe that this is because the corpus used for model training contains significantly more errors than the text used for model correcting. In response to this problem, we propose performing a post-processing operation on the error correction tasks. We employ the initial model’s output as a candidate character, obtain various features of the character itself and its context, and then use a classification model to filter the initial model’s false error correction results. The post-processing idea introduced in this paper can apply to most Chinese Spelling Error Correction models to improve their performance over practical error correction tasks.
    Keywords natural language processing ; Chinese Spelling Error Correction ; post-processing ; practical application ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
    Subject code 518
    Language English
    Publishing date 2021-06-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: Antibiotic Toxicity Profiles of Escherichia coli Strains Lacking DNA Methyltransferases

    Zheng Chen / Hailin Wang

    ACS Omega, Vol 6, Iss 11, Pp 7834-

    2021  Volume 7840

    Keywords Chemistry ; QD1-999
    Language English
    Publishing date 2021-03-01T00:00:00Z
    Publisher American Chemical Society
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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