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  1. Article ; Online: Functional loops: Monitoring functional organization of deep neural networks using algebraic topology.

    Zhang, Ben / Lin, Hongwei

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

    2024  Volume 174, Page(s) 106239

    Abstract: Various topological methods have emerged in recent years to investigate the inner workings of deep neural networks (DNNs) based on the structural and weight information. However, their effectiveness is restricted due to the stratified structure and ... ...

    Abstract Various topological methods have emerged in recent years to investigate the inner workings of deep neural networks (DNNs) based on the structural and weight information. However, their effectiveness is restricted due to the stratified structure and volatile weight information. In this study, we explore the relationship between functional organizations and network performance using algebraic topology. Our results indicate that functional loops reveal functional interaction patterns of multiple neurons in DNNs. We also propose functional persistence as a measure of functional complexity and develop an early stopping criterion that achieves competitive results without requiring a validation set.
    MeSH term(s) Neural Networks, Computer ; Neurons
    Language English
    Publishing date 2024-03-16
    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.2024.106239
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Digital Transformation and Open Innovation Planning of Response to COVID-19 Outbreak: A Systematic Literature Review and Future Research Agenda.

    Zhang, Ben / Ming, Chenxu

    International journal of environmental research and public health

    2023  Volume 20, Issue 3

    Abstract: The COVID-19 pandemic highlights the importance of digital technology in a specific region's epidemic prevention and control, and the digital transformation strategy based on the open innovation system is an emerging way to tackle conceivable outbreaks. ... ...

    Abstract The COVID-19 pandemic highlights the importance of digital technology in a specific region's epidemic prevention and control, and the digital transformation strategy based on the open innovation system is an emerging way to tackle conceivable outbreaks. Based on the bibliometric study of relevant literature data, this paper evaluated the research and development status in this field, and conducted a systematic literature review on the basis of the core articles identified. The results of bibliometric analysis software, including CiteSpace, CitNetExplorer and VOSViewer, showed that the development of relevant research presented rapidity and decentralization, and the evolution process of literature topics further implies the necessity of interdisciplinary and multisectoral collaboration. Furthermore, this paper summarized the specific implementation strategies for constructing an open innovation system, and discussed the role and development plan of digital technology in epidemic prevention and control.
    MeSH term(s) Humans ; Pandemics/prevention & control ; COVID-19/epidemiology ; COVID-19/prevention & control ; Disease Outbreaks ; Bibliometrics ; Digital Technology
    Language English
    Publishing date 2023-02-03
    Publishing country Switzerland
    Document type Systematic Review ; Journal Article ; Review ; Research Support, Non-U.S. Gov't
    ZDB-ID 2175195-X
    ISSN 1660-4601 ; 1661-7827
    ISSN (online) 1660-4601
    ISSN 1661-7827
    DOI 10.3390/ijerph20032731
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: A Note on the Connection between Non-Additive Entropy and

    Kang, Jin-Wen / Shen, Ke-Ming / Zhang, Ben-Wei

    Entropy (Basel, Switzerland)

    2023  Volume 25, Issue 6

    Abstract: In order to study as a whole a wide part of entropy measures, we introduce a two-parameter non-extensive entropic form with respect to ... ...

    Abstract In order to study as a whole a wide part of entropy measures, we introduce a two-parameter non-extensive entropic form with respect to the
    Language English
    Publishing date 2023-06-09
    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/e25060918
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Maternal age-specific risks for adverse birth weights according to gestational weight gain: a prospective cohort in Chinese women older than 30.

    Wang, Yidi / Gong, Yunhui / Xu, Yujie / Wang, Xiaoyu / Shan, Shufang / Cheng, Guo / Zhang, Ben

    BMC pregnancy and childbirth

    2024  Volume 24, Issue 1, Page(s) 36

    Abstract: Background: It is unclear whether the effects of abnormal gestational weight gain (GWG) on birth outcomes are differently in women with different maternal ages. This study aimed to investigate maternal age-specific association between GWG and adverse ... ...

    Abstract Background: It is unclear whether the effects of abnormal gestational weight gain (GWG) on birth outcomes are differently in women with different maternal ages. This study aimed to investigate maternal age-specific association between GWG and adverse birth weights in Chinese women older than 30.
    Methods: 19,854 mother-child dyads were selected from a prospective cohort study in Southwest China between 2019 and 2022. Logistic regression model was used to assess the association between GWG, which defined by the 2009 Institute of Medicine guidelines, and adverse birth weights including large- and small-for-gestational-age (LGA and SGA), stratified by maternal age (31-34 years and ≥ 35 years).
    Results: In both maternal age groups, excessive and insufficient GWG were associated with increased odds of LGA and SGA, respectively. After women were categorized by pre-pregnancy body mass index, the associations remained significant in women aged 31-34 years, whereas for women aged ≥ 35 years, the association between excessive GWG and the risk of LGA was only significant in normal weight and overweight/obese women, and the significant effect of insufficient GWG on the risk of SGA was only observed in underweight and overweight/obese women. Moreover, among overweight/obese women, the magnitude of the association between insufficient GWG and the risk of SGA was greater in those aged ≥ 35 years (31-34 years: OR 2.08, 95% CI 1.19-3.55; ≥35 years: OR 2.65, 95% CI 1.47-4.74), while the impact of excessive GWG on the risk of LGA was more pronounced in those aged 31-34 years (31-34 years: OR 2.18, 95% CI 1.68-2.88; ≥35 years: OR 1.71, 95% CI 1.30-2.25).
    Conclusions: The stronger associations between abnormal GWG and adverse birth weights were mainly observed in women aged 31-34 years, and more attention should be paid to this age group.
    MeSH term(s) United States ; Pregnancy ; Female ; Humans ; Birth Weight ; Gestational Weight Gain ; Maternal Age ; Prospective Studies ; Overweight ; Obesity/epidemiology ; China/epidemiology
    Language English
    Publishing date 2024-01-05
    Publishing country England
    Document type Journal Article
    ZDB-ID 2059869-5
    ISSN 1471-2393 ; 1471-2393
    ISSN (online) 1471-2393
    ISSN 1471-2393
    DOI 10.1186/s12884-023-06231-y
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Analysis of the hemostatic effect of preset wrapping technique for type A aortic dissection with abnormal coagulation.

    Cai, Zhixiang / Yan, Tao / Zhang, Ben / Zhang, Weida / Su, Chenjie / Chen, Hanwei / Wang, Xianyue

    Journal of thoracic disease

    2024  Volume 16, Issue 2, Page(s) 1223–1233

    Abstract: Background: There are many techniques to reduce anastomotic bleeding for the total arch replacement, but hemostasis is sometimes difficult to achieve after surgery for acute dissection, especially in patients with abnormal coagulation (AC). This study ... ...

    Abstract Background: There are many techniques to reduce anastomotic bleeding for the total arch replacement, but hemostasis is sometimes difficult to achieve after surgery for acute dissection, especially in patients with abnormal coagulation (AC). This study aimed to investigate the hemostatic effect and early efficacy of a pre-set bovine pericardium wrapper in the right heart system shunt for total arch replacement in patients with type A aortic dissection (TAAD) and preoperative AC.
    Methods: A retrospective analysis was conducted on 85 patients with TAAD and AC who underwent total arch replacement between January 2018 and December 2022. The patients were divided into two groups: the preset pericardium group (n=30) and the control group (n=55).
    Results: There were no significant differences between the two groups in terms of Bentall surgery (ascending aorta replacement with an aortic valve artificial vessel) and cardiac arrest time. However, compared to the control group, the preset pericardium group exhibited a shorter duration of cardiopulmonary bypass (CPB) and operation (P<0.001). Additionally, the preset pericardium group required fewer transfusions of blood products and hemostatic drugs (P<0.05). Moreover, the preset pericardium group had lower 24-hour postoperative mediastinal drainage volume (P<0.001), a lower proportion of bedside hemofiltration (P=0.039), and a shorter duration of mechanical ventilation and stay in the intensive care unit (P=0.014). Although the preset pericardium group showed reductions in in-hospital mortality, re-exploration for bleeding, and neurologic dysfunction, these differences were not statistically significant compared to the control group.
    Conclusions: This study represents the first investigation into the application of the preset wrapping technique in total arch replacement for TAAD with AC. The results demonstrate that this method can reduce the duration of CPB and operation, decrease postoperative bleeding, and minimize the need for blood transfusion and hemostatic drugs. Consequently, this technique may contribute to early postoperative recovery.
    Language English
    Publishing date 2024-02-21
    Publishing country China
    Document type Journal Article
    ZDB-ID 2573571-8
    ISSN 2077-6624 ; 2072-1439
    ISSN (online) 2077-6624
    ISSN 2072-1439
    DOI 10.21037/jtd-23-1581
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Co-applied biochar and PGPB promote maize growth and reduce CO

    Zou, Yiping / Chen, Xinli / Zhang, Shuyue / Zhang, Ben / Bai, Yunxing / Zhang, Tao / Jia, Jianli

    Journal of environmental management

    2024  Volume 354, Page(s) 120280

    Abstract: Coal mining is one of the human activities that has the greatest impact on the global carbon (C) cycle and biodiversity. Biochar and plant growth-promoting bacteria (PGPB) have been both used to improve coal mining degraded soils; however, it is ... ...

    Abstract Coal mining is one of the human activities that has the greatest impact on the global carbon (C) cycle and biodiversity. Biochar and plant growth-promoting bacteria (PGPB) have been both used to improve coal mining degraded soils; however, it is uncertain whether the effects of biochar application on soil respiration and microbial communities are influenced by the presence or absence of PGPB and soil nitrogen (N) level in coal mining degraded soils. A pot experiment was carried out to examine whether the effects of biochar addition (0, 1, 2 and 4% of soil mass) on soil properties, soil respiration, maize growth, and microbial communities were altered by the presence or absence of PGPB (i.e. Sphingobium yanoikuyae BJ1) (0, 200 mL suspension (2 × 10
    MeSH term(s) Humans ; Zea mays ; Coal Mining ; Carbon Dioxide/metabolism ; Soil ; Soil Microbiology ; Charcoal/metabolism ; Bacteria
    Chemical Substances biochar ; Carbon Dioxide (142M471B3J) ; Soil ; Charcoal (16291-96-6)
    Language English
    Publishing date 2024-02-13
    Publishing country England
    Document type Journal Article
    ZDB-ID 184882-3
    ISSN 1095-8630 ; 0301-4797
    ISSN (online) 1095-8630
    ISSN 0301-4797
    DOI 10.1016/j.jenvman.2024.120280
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Exercise, weight maintenance, and nonalcoholic fatty liver disease risk: a Chinese cohort study.

    Yang, Chao / Yan, Peijing / Deng, Jiaqi / Li, Yujuan / Jiang, Xia / Zhang, Ben

    Frontiers in physiology

    2024  Volume 15, Page(s) 1359476

    Abstract: Background: ...

    Abstract Background:
    Language English
    Publishing date 2024-03-26
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2564217-0
    ISSN 1664-042X
    ISSN 1664-042X
    DOI 10.3389/fphys.2024.1359476
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Spillover effects of violent attacks and COVID-19 exposure on mental health of health professionals: A two-phase quasi-natural experiments study in Northwest China.

    Liu, Ning / Qian, Hong / Zhang, Ben Zhong / Guo, Jing

    Global mental health (Cambridge, England)

    2023  Volume 10, Page(s) e76

    Abstract: The aims of this study were to examine the spillover effects of violent attacks, coronavirus disease-2019 (COVID-19) exposure, and their interactions on health professionals' mental health, and the role of organizational support in their relationships in ...

    Abstract The aims of this study were to examine the spillover effects of violent attacks, coronavirus disease-2019 (COVID-19) exposure, and their interactions on health professionals' mental health, and the role of organizational support in their relationships in China. A two-phase survey data (
    Language English
    Publishing date 2023-10-26
    Publishing country England
    Document type Journal Article
    ZDB-ID 2806466-5
    ISSN 2054-4251
    ISSN 2054-4251
    DOI 10.1017/gmh.2023.65
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: Exploring Factors of the Willingness to Accept AI-Assisted Learning Environments: An Empirical Investigation Based on the UTAUT Model and Perceived Risk Theory.

    Wu, Wentao / Zhang, Ben / Li, Shuting / Liu, Hehai

    Frontiers in psychology

    2022  Volume 13, Page(s) 870777

    Abstract: Artificial intelligence (AI) technology has been widely applied in many fields. AI-assisted learning environments have been implemented in classrooms to facilitate the innovation of pedagogical models. However, college students' willingness to accept ( ... ...

    Abstract Artificial intelligence (AI) technology has been widely applied in many fields. AI-assisted learning environments have been implemented in classrooms to facilitate the innovation of pedagogical models. However, college students' willingness to accept (WTA) AI-assisted learning environments has been ignored. Exploring the factors that influence college students' willingness to use AI can promote AI technology application in higher education. Based on the Unified Theory of Acceptance and Use of Technology (UTAUT) and the theory of perceived risk, this study identified six factors that influence students' willingness to use AI to analyze their relationships with WTA AI-assisted learning environments. A model including six hypotheses was constructed to test the factors affecting students' WTA. The results indicated that college students showed "weak rejection" of the construction of AI-assisted learning environments. Effort expectancy (EE), performance expectancy (PE), and social influence (SI) were all positively related to college students' WTA AI-assisted learning environments. Psychological risk (PR) significantly negatively influenced students' WTA. The findings of this study will be helpful for carrying out risk communication, which can promote the construction of AI-assisted learning environments.
    Language English
    Publishing date 2022-06-24
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2563826-9
    ISSN 1664-1078
    ISSN 1664-1078
    DOI 10.3389/fpsyg.2022.870777
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Thesis ; Online: Adapting Swarm Applications

    Zhang, Ben

    A Systematic and Quantitative Approach

    2018  

    Abstract: The swarm refers to the vast collection of networked sensors and actuators installed in our connected world. Many swarm applications generate, transport, distill, and process large streams of data across a wide area in real time. The increasing volume of ...

    Abstract The swarm refers to the vast collection of networked sensors and actuators installed in our connected world. Many swarm applications generate, transport, distill, and process large streams of data across a wide area in real time. The increasing volume of data generated at the edge challenges the existing approaches of directly connecting devices to the cloud. This thesis begins with an overview of emerging swarm and the architecture design trends for swarm applications. The swarm faces challenges from the scarce and variable WAN bandwidth and the heterogeneous compute environment (from low-power microcontrollers to powerful compute units). When network resources or compute resources are insufficient, non-adaptive applications will suffer from increased latency or degraded accuracy. Existing approaches that support adaptation either require extensive developer effort to write manual policies or are limited to application-specific solutions. This thesis proposes a systematic and quantitative approach to build adaptive swarm applications. The solution has three stages: (1) a set of programming abstractions that allow developers to express adaptation options; (2) an automatic profiling tool that learns an accurate profile to characterize resource demands and application performance; (3) a runtime system responsive to environment changes, maximizing application performance guided by the learned profile. We evaluate our methodology with adaptations to network resources and compute resources. For network resources, we present a complete design and implementation of the framework AWStream and several swarm applications: pedestrian detection, augmented reality, and monitoring log analysis. Our experiments show that all applications can achieve sub-second latency with nominal accuracy drops. For compute resources, we focus on improving the profiling efficiency—using Bayesian Optimization to address the large parameter space and profile transfer to address device heterogeneity.
    Keywords Computer science
    Subject code 629
    Language ENG
    Publishing date 2018-01-01 00:00:01.0
    Publisher University of California, Berkeley
    Publishing country us
    Document type Thesis ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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