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  1. Book ; Online ; E-Book: Cardiac CT

    Jin, Zheng-yu / Lu, Bin / Wang, Yining

    Diagnostic Guide and Cases

    2020  

    Abstract: Over the past few decades there have been major advances in computed tomography (CT) to improve the performance of cardiac imaging. Thanks to the improved scanning speed, power boost tubes, and increased-width detectors, the latest CT technology delivers ...

    Author's details edited by Zheng-yu Jin, Bin Lu, Yining Wang
    Abstract Over the past few decades there have been major advances in computed tomography (CT) to improve the performance of cardiac imaging. Thanks to the improved scanning speed, power boost tubes, and increased-width detectors, the latest CT technology delivers greater coverage, better spatial and temporal resolution, and functional information on cardiac diseases. Focusing on cardiac CT imaging, this book offers case-based information on cardiac diseases, presents the current technical status, and highlights applications, helping readers systematically understand how cardiac CTs are performed and interpreted in clinical practice. Divided into six chapters, it broadly discusses the characteristics of CT imaging and its applications to coronary artery disease (CAD); non-atherosclerotic coronary artery disease; congenital heart disease; cardiac neoplasms; cardiomyopathy and aortic diseases.
    Keywords Cardiac imaging ; Cardiology ; Cardiac Imaging ; Malalties cardiovasculars ; Tomografia ; Cardiologia ; Diagnòstic per la imatge ; Històries clíniques
    Subject code 616.120757
    Language English
    Size 1 online resource (XVII, 186 p.)
    Edition 1st ed. 2020.
    Publisher Springer Singapore ; Imprint: Springer
    Publishing place Singapore
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    ISBN 981-15-5305-X ; 981-15-5304-1 ; 978-981-15-5305-9 ; 978-981-15-5304-2
    DOI 10.1007/978-981-15-5305-9
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Book ; Online: Beyond Embodied Cognition: Intentionality, Affordance, and Environmental Adaptation

    Jin, Zheng / Tirassa, Maurizio / Borghi, Anna M.

    2019  

    Keywords Science: general issues ; Psychology ; affordance ; mind-body interaction ; ecological approach ; embodied cognition ; intentionality ; enmindment
    Size 1 electronic resource (142 pages)
    Publisher Frontiers Media SA
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021230298
    ISBN 9782889458158 ; 2889458156
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  3. Article ; Online: Between Meanings and Senses-Making Spaces: Agency and Ownership Emergence Formalization from Cultural-Historical Activity Theory Position, for an AI-Friendly Model.

    El Maouch, Mohamad / Jin, Zheng

    Integrative psychological & behavioral science

    2023  Volume 58, Issue 1, Page(s) 99–137

    Abstract: Sense of agency and sense of ownership are considered crucial in autonomous systems. However, drawbacks still exist regarding how to represent their causal origin and internal structure, either in formalized psychological models or in artificial systems. ...

    Abstract Sense of agency and sense of ownership are considered crucial in autonomous systems. However, drawbacks still exist regarding how to represent their causal origin and internal structure, either in formalized psychological models or in artificial systems. This paper considers that these drawbacks are based on the ontological and epistemological duality in mainstream psychology and AI. By shedding light on the cultural-historical activity theory (CHAT) and dialectical logic, and by building on and extending related work, this paper attempts to investigate how the noted duality affects investigating the self and "I". And by differentiating between the space of meanings and the sense-making space, the paper introduces CHAT's position of the causal emergence of agency and ownership by stressing the twofold transition theory being central to CHAT. Furthermore, a qualitative formalized model is introduced to represent the emergence of agency and ownership through the emergence of the contradictions-based meaning with potential employment in AI.
    MeSH term(s) Humans ; Ownership ; Models, Psychological
    Language English
    Publishing date 2023-05-17
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2396310-4
    ISSN 1936-3567 ; 1932-4502
    ISSN (online) 1936-3567
    ISSN 1932-4502
    DOI 10.1007/s12124-023-09770-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: A temporal multi-scale hybrid attention network for sleep stage classification.

    Jin, Zheng / Jia, Kebin

    Medical & biological engineering & computing

    2023  Volume 61, Issue 9, Page(s) 2291–2303

    Abstract: Sleep is crucial for human health. Automatic sleep stage classification based on polysomnogram (PSG) is meaningful for the diagnosis of sleep disorders, which has attracted extensive attention in recent years. Most existing methods could not fully ... ...

    Abstract Sleep is crucial for human health. Automatic sleep stage classification based on polysomnogram (PSG) is meaningful for the diagnosis of sleep disorders, which has attracted extensive attention in recent years. Most existing methods could not fully consider the different transitions of sleep stages and fit the visual inspection of sleep experts simultaneously. To this end, we propose a temporal multi-scale hybrid attention network, namely TMHAN, to automatically achieve sleep staging. The temporal multi-scale mechanism incorporates short-term abrupt and long-term periodic transitions of the successive PSG epochs. Furthermore, the hybrid attention mechanism includes 1-D local attention, 2-D global attention, and 2-D contextual sparse multi-head self-attention for three kinds of sequence-level representations. The concatenated representation is subsequently fed into a softmax layer to train an end-to-end model. Experimental results on two benchmark sleep datasets show that TMHAN obtains the best performance compared with several baselines, demonstrating the effectiveness of our model. In general, our work not only provides good classification performance, but also fits the actual sleep staging processes, which makes contribution for the combination of deep learning and sleep medicine.
    MeSH term(s) Humans ; Electroencephalography/methods ; Sleep ; Sleep Stages ; Polysomnography/methods ; Seizures
    Language English
    Publishing date 2023-03-31
    Publishing country United States
    Document type Journal Article
    ZDB-ID 282327-5
    ISSN 1741-0444 ; 0025-696X ; 0140-0118
    ISSN (online) 1741-0444
    ISSN 0025-696X ; 0140-0118
    DOI 10.1007/s11517-023-02808-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Setting the Theater for Creativity: Proposal for Integrating Temporal and Spatial Artificial Mnemonics as a Qualitative Artificial Development of the Autobiographical Naturalistic Mnemonics (AM).

    El Maouch, Mohamad / Chen, Ruijun / Jin, Zheng

    Integrative psychological & behavioral science

    2024  

    Abstract: Mnemonics are not only tools that empower memory but also have a significant role in qualitatively transforming mental functions and, hence, consciousness in general. A specific type of mnemonics is autobiographical mnemonics (AM) constructed of spatial, ...

    Abstract Mnemonics are not only tools that empower memory but also have a significant role in qualitatively transforming mental functions and, hence, consciousness in general. A specific type of mnemonics is autobiographical mnemonics (AM) constructed of spatial, temporal, and semantic dimensions used in a naturalist form by individuals about their own experiences. This paper proposes a spatial-temporal mnemonic that transforms AM from a naturalist level into an artificial one. We consider allowing the intellect and consciousness to grasp the abstract flow of time in the global context of geography will contribute to setting the stage for creativity. By explicitly representing the abstract time-space theater, the intellect (the world view) is more able to reflect the abstract laws of reality (the world), hence, to make the intellect sphere objectively equipped to externalize the emerged meanings (the internalized reality) that reflect the internal content of experience and, hence, make sense of them as a crucial function in creative activity. The paper is a theoretical and methodological step for the empirical part of the proposal when the mnemonic should be used as a training tool to empower creativity factors.
    Language English
    Publishing date 2024-02-02
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2396310-4
    ISSN 1936-3567 ; 1932-4502
    ISSN (online) 1936-3567
    ISSN 1932-4502
    DOI 10.1007/s12124-024-09819-x
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: A Model for the Assignment of Emergency Rescuers Considering Collaborative Information

    Pingping Cao / Jin Zheng / Mingyang Li / Yu Fu

    Sustainability, Vol 15, Iss 1203, p

    2023  Volume 1203

    Abstract: Emergency rescue is a critical decision for emergency response, and the assignment of rescuers is crucial to the sustainable development of emergency rescue. Therefore, how to effectively assign rescuers to carry out rescue tasks, so as to achieve the ... ...

    Abstract Emergency rescue is a critical decision for emergency response, and the assignment of rescuers is crucial to the sustainable development of emergency rescue. Therefore, how to effectively assign rescuers to carry out rescue tasks, so as to achieve the best rescue effect, is a research problem with practical value. In this paper, a model for the assignment of emergency rescuers considering collaborative information is proposed. Firstly, the synergy degrees of rescuers are calculated based on the synergy effect between rescuers and the synergy ability of rescuers. Secondly, according to the evaluation values of the skill level of rescuers, the competence degrees of rescuers are calculated and the overall ability of each rescuer is obtained. Then, the satisfaction degrees of rescuers are calculated according to the subjective preferences of rescuers. Furthermore, the task fitness degrees are obtained, and the satisfaction of rescue time is calculated. Afterwards, a model for assignment of emergency rescuers is constructed with the satisfaction of rescue time and the task fitness degrees maximization as the objectives, and the optimal assignment scheme can be obtained through solving the model. Finally, an illustrative example on the rescuer assignment under public health emergencies is given to illustrate the use of the proposed model.
    Keywords assignment of rescuers ; emergency rescue ; rescue tasks ; collaborative information ; optimization model ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
    Subject code 650
    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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  7. Article: Artificial Intelligence Inheriting the Historical Crisis in Psychology: An Epistemological and Methodological Investigation of Challenges and Alternatives.

    El Maouch, Mohamad / Jin, Zheng

    Frontiers in psychology

    2022  Volume 13, Page(s) 781730

    Abstract: By following the arguments developed by Vygotsky and employing the cultural-historical activity theory (CHAT) in addition to dialectical logic, this paper attempts to investigate the interaction between psychology and artificial intelligence (AI) to ... ...

    Abstract By following the arguments developed by Vygotsky and employing the cultural-historical activity theory (CHAT) in addition to dialectical logic, this paper attempts to investigate the interaction between psychology and artificial intelligence (AI) to confront the epistemological and methodological challenges encountered in AI research. The paper proposes that AI is facing an epistemological and methodological crisis inherited from psychology based on dualist ontology. The roots of this crisis lie in the duality between rationalism and objectivism or in the mind-body rupture that has governed the production of scientific thought and the proliferation of approaches. In addition, by highlighting the sociohistorical conditions of AI, this paper investigates the historical characteristics of the shift of the crisis from psychology to AI. Additionally, we examine the epistemological and methodological roots of the main challenges encountered in AI research by noting that empiricism is the dominant tendency in the field. Empiricism gives rise to methodological and practical challenges, including challenges related to the emergence of meaning, abstraction, generalization, the emergence of symbols, concept formation, functional reflection of reality, and the emergence of higher psychological functions. Furthermore, through discussing attempts to formalize dialectical logic, the paper, based on contradiction formation, proposes a qualitative epistemological, methodological, and formal alternative by using a preliminary algorithmic model that grasps the formation of meaning as an essential ability for the qualitative reflection of reality and the emergence of other mental functions.
    Language English
    Publishing date 2022-03-10
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2563826-9
    ISSN 1664-1078
    ISSN 1664-1078
    DOI 10.3389/fpsyg.2022.781730
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Relationship between phthalates exposure, risk of decreased ovarian reserve, and oxidative stress levels.

    Hu, Weihuan / Jin, Zheng / Wang, Huihua / Wang, Fangfang / Qu, Fan

    Toxicology and industrial health

    2024  Volume 40, Issue 4, Page(s) 156–166

    Abstract: Phthalates (PAEs), a group of environmental endocrine disruptors, are associated with oxidative stress and have adverse effects on female ovarian reserves. However, this association has been poorly investigated, particularly with respect to clinical ... ...

    Abstract Phthalates (PAEs), a group of environmental endocrine disruptors, are associated with oxidative stress and have adverse effects on female ovarian reserves. However, this association has been poorly investigated, particularly with respect to clinical evidence. In this study, we provided clinical evidence of a relationship between exposure levels of PAEs, oxidative stress and decreased ovarian reserve (DOR). Firstly, the urinary concentrations of metabolites of PAEs were measured by high performance liquid chromatography coupled with tandem mass spectrometry (HPLC-MS/MS). The serum concentrations of follicle-stimulating hormone (FSH), luteinizing hormone (LH), and anti-Mullerian hormone (AMH), and the biomarkers of oxidative stress, malondialdehyde (MDA), superoxide dismutase (SOD), and total antioxidant capacity (T-AOC), were determined. Finally, statistical analyses were conducted to describe the relationship between the PAEs exposure, oxidative stress and DOR. We found that the levels of monomethyl phthalate (MMP), monoisobutyl phthalate (MiBP), mono-(2-ethylhexyl) phthalate (MEHP), and mono-(2-ethyl-5-hydroxypentyl) phthalate (MECPP) in the DOR group were significantly higher than those in the control group. There was a significant negative association between AMH and MMP, MiBP levels. and a significant positive association between FSH and MMP levels. PAEs exposure was also associated with a significant increase in MDA levels and decrease in SOD levels. In conclusion, the exposure of PAEs was closely associated with DOR, potentially mediated by oxidative stress pathways; however, small sample size was a limitation in this study.
    MeSH term(s) Humans ; Female ; Environmental Exposure/adverse effects ; Environmental Exposure/analysis ; Ovarian Reserve ; Tandem Mass Spectrometry ; Oxidative Stress ; Follicle Stimulating Hormone ; Superoxide Dismutase ; Phthalic Acids
    Chemical Substances phthalic acid (6O7F7IX66E) ; Follicle Stimulating Hormone (9002-68-0) ; Superoxide Dismutase (EC 1.15.1.1) ; Phthalic Acids
    Language English
    Publishing date 2024-01-29
    Publishing country England
    Document type Journal Article
    ZDB-ID 56831-4
    ISSN 1477-0393 ; 0748-2337
    ISSN (online) 1477-0393
    ISSN 0748-2337
    DOI 10.1177/07482337241229761
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Quantitative MR imaging biomarkers for distinguishing inflammatory pancreatic mass and pancreatic cancer-a systematic review and meta-analysis.

    Wang, Zi-He / Zhu, Liang / Xue, Hua-Dan / Jin, Zheng-Yu

    European radiology

    2024  

    Abstract: Objectives: To evaluate the diagnostic performance of quantitative magnetic resonance (MR) imaging biomarkers in distinguishing between inflammatory pancreatic masses (IPM) and pancreatic cancer (PC).: Methods: A literature search was conducted using ...

    Abstract Objectives: To evaluate the diagnostic performance of quantitative magnetic resonance (MR) imaging biomarkers in distinguishing between inflammatory pancreatic masses (IPM) and pancreatic cancer (PC).
    Methods: A literature search was conducted using PubMed, Embase, the Cochrane Library, and Web of Science through August 2023. Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2) was used to evaluate the risk of bias and applicability of the studies. The pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio were calculated using the DerSimonian-Laird method. Univariate meta-regression analysis was used to identify the potential factors of heterogeneity.
    Results: Twenty-four studies were included in this meta-analysis. The two main types of IPM, mass-forming pancreatitis (MFP) and autoimmune pancreatitis (AIP), differ in their apparent diffusion coefficient (ADC) values. Compared with PC, the ADC value was higher in MFP but lower in AIP. The pooled sensitivity/specificity of ADC were 0.80/0.85 for distinguishing MFP from PC and 0.82/0.84 for distinguishing AIP from PC. The pooled sensitivity/specificity for the maximal diameter of the upstream main pancreatic duct (dMPD) was 0.86/0.74, with a cutoff of dMPD ≤ 4 mm, and 0.97/0.52, with a cutoff of dMPD ≤ 5 mm. The pooled sensitivity/specificity for perfusion fraction (f) was 0.82/0.68, and 0.82/0.77 for mass stiffness values.
    Conclusions: Quantitative MR imaging biomarkers are useful in distinguishing between IPM and PC. ADC values differ between MFP and AIP, and they should be separated for consideration in future studies.
    Clinical relevance statement: Quantitative MR parameters could serve as non-invasive imaging biomarkers for differentiating malignant pancreatic neoplasms from inflammatory masses of the pancreas, and hence help to avoid unnecessary surgery.
    Key points: • Several quantitative MR imaging biomarkers performed well in differential diagnosis between inflammatory pancreatic mass and pancreatic cancer. • The ADC value could discern pancreatic cancer from mass-forming pancreatitis or autoimmune pancreatitis, if the two inflammatory mass types are not combined. • The diameter of main pancreatic duct had the highest specificity for differentiating autoimmune pancreatitis from pancreatic cancer.
    Language English
    Publishing date 2024-04-19
    Publishing country Germany
    Document type Journal Article ; Review
    ZDB-ID 1085366-2
    ISSN 1432-1084 ; 0938-7994 ; 1613-3749
    ISSN (online) 1432-1084
    ISSN 0938-7994 ; 1613-3749
    DOI 10.1007/s00330-024-10720-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Book ; Online: Temporal Consistency Optimization for Alpine Lake Turbulent Flux Observations

    Jin, Zheng

    A Machine Learning Approach

    2020  

    Abstract: Aiming to mitigate the temporal inconsistency in eddy covariance (EC) flux observations, an ultra-wide neural network structure is constructed based on the TensorFlow framework, with which the artificial neural networks (ANNs) are more capable of ... ...

    Abstract Aiming to mitigate the temporal inconsistency in eddy covariance (EC) flux observations, an ultra-wide neural network structure is constructed based on the TensorFlow framework, with which the artificial neural networks (ANNs) are more capable of estimating flux intensity via in-situ micrometeorological features. The EC measurements and micrometeorology observations are conducted at the shore of an alpine lake Yamzho Yumco in southern Tibet Plateau (TP). The performance of the ANNs is evaluated via 10-fold cross-validation. As a result, the simulation bias level exhibits minuscule perturbation over different cross-validation subsamples. As an innovative attempt, the micrometeorological features are selected according to their thermodynamic or kinetic information utilization rather than statistical correlations with the flux intensity. The method providing uncertainty mitigation can be extended to other EC flux measurement experiments, especially in harsh regions like TP, where the environmental conditions do not allow more direct observations.
    Keywords Physics - Atmospheric and Oceanic Physics
    Subject code 551
    Publishing date 2020-01-03
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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