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  1. Article ; Online: Factors affecting the scientific research ability and the corresponding countermeasures in clinical postgraduates.

    Fu, De-Qiang / Huang, Yin-Qiong / Que, Yu-Hui / Hong, Yu / Lin, Jian-Qing

    BMC medical education

    2023  Volume 23, Issue 1, Page(s) 309

    Abstract: Background: Scientific research ability (SRA) is very important for clinical postgraduates. However, the factors affecting students' SRA are constantly changing with the development of medicine. The aim of this study was to investigate the current ... ...

    Abstract Background: Scientific research ability (SRA) is very important for clinical postgraduates. However, the factors affecting students' SRA are constantly changing with the development of medicine. The aim of this study was to investigate the current situation of SRA in clinical postgraduates and exploring the potential factors and the corresponding countermeasures under the background of new medical science.
    Methods: A total of 133 postgraduates (first- or second-year) were investigated by questionnaire in the Second Affiliated Hospital of Fujian Medical University. All results were analyzed by R software.
    Results: In terms of the SRA, academic-degree postgraduate students (ADPSs) were significantly better than professional-degree postgraduate students (PDPSs) (P = 0.001), the students with scientific research interest were remarkably better than those without scientific research interest (P = 0.004), the students who mastered statistical analysis methods were more prominent than those who did not (P = 0.007), the students with paper-writing skills were obviously superior to those without it (P = 0.003), and the second-year students were notably better than the first-year students (P = 0.003). Stratified analysis by the above factors except the degree type showed no significant difference in the first-year postgraduates. In the second-year postgraduates, the ADPSs were remarkably superior to the PDPSs (P = 0.002), the students with scientific research interest were obviously better than those without scientific research interest (P = 0.014), the students with more time investment in scientific research were more prominent than those with less time investment in scientific research (P = 0.025), the students with paper-writing skills were notably superior to those without it (P = 0.031), and the students with plotting ability were better than those without it (P = 0.013).
    Conclusion: The important factors affecting the SRA of clinical postgraduates include the degree type, the grade of student, scientific research interest, time investment in scientific research, statistical analysis methods, paper-writing skills, plotting ability. In short, earlier systematic SRA training contributes to the improvement of SRA in clinical postgraduates, especially in PDPSs.
    MeSH term(s) Humans ; Students ; Surveys and Questionnaires ; Curriculum ; Medicine ; Education, Medical, Graduate/methods
    Language English
    Publishing date 2023-05-05
    Publishing country England
    Document type Journal Article
    ZDB-ID 2044473-4
    ISSN 1472-6920 ; 1472-6920
    ISSN (online) 1472-6920
    ISSN 1472-6920
    DOI 10.1186/s12909-023-04261-w
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Accessibility to Digital Mental Health Services among the General Public throughout COVID-19: Trajectories, Influencing Factors and Association with Long-Term Mental Health Symptoms.

    Lu, Zheng-An / Shi, Le / Que, Jian-Yu / Zheng, Yong-Bo / Wang, Qian-Wen / Liu, Wei-Jian / Huang, Yue-Tong / Liu, Xiao-Xing / Yuan, Kai / Yan, Wei / Shi, Jie / Bao, Yan-Ping / Lu, Lin

    International journal of environmental research and public health

    2022  Volume 19, Issue 6

    Abstract: Digital mental health services (DMHSs) have great potential for mitigating the mental health burden related to COVID-19, but public accessibility (ease of acquiring services when needed) to DMHSs during the pandemic is largely unknown. Accessibility to ... ...

    Abstract Digital mental health services (DMHSs) have great potential for mitigating the mental health burden related to COVID-19, but public accessibility (ease of acquiring services when needed) to DMHSs during the pandemic is largely unknown. Accessibility to DMHSs was tracked longitudinally among a nationwide sample of 18,804 adults in China from before to one year after COVID-19 outbreak. Unconditional and conditional latent growth curve models and latent growth mixture models were fitted to explore the overall growth trend, influencing factors, and latent trajectory classes of accessibility to DMHSs throughout COVID-19. Generalized estimating equation models and generalized linear mixed models were employed to explore the association between accessibility to DMHSs and long-term mental health symptoms. We found that people generally reported increased difficulty in accessing DMHSs from before to one year after COVID-19 outbreak. Males, youngsters, individuals with low socioeconomic status, and individuals greatly affected by COVID-19 reported greater difficulty in accessing DMHSs. Four DMHS accessibility trajectory classes were identified: "lowest-great increase" (6.3%), "moderate low-slight increase" (44.4%), "moderate high-slight decrease" (18.1%) and "highest-great decrease" (31.2%). Trajectory classes reporting greater difficulty in accessing DMHSs were at higher risk for long-term mental symptoms. In conclusion, an overall increase in difficulty in accessing DMHSs is observed throughout COVID-19, and heterogeneity exists in DMHS accessibility trajectories. Our results suggest that easy access to DMHSs should be consistently facilitated. Moreover, access gaps should be reduced across demographic groups, and target populations for service allocation should alter as the pandemic evolves.
    MeSH term(s) Adult ; COVID-19/epidemiology ; Health Services Accessibility ; Humans ; Male ; Mental Disorders/epidemiology ; Mental Health ; Mental Health Services
    Language English
    Publishing date 2022-03-17
    Publishing country Switzerland
    Document type Journal Article ; 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/ijerph19063593
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Long-term psychological profile of general population following COVID-19 outbreak: symptom trajectories and evolution of psychopathological network.

    Lu, Zheng-An / Shi, Le / Que, Jian-Yu / Zheng, Yong-Bo / Wang, Qian-Wen / Liu, Wei-Jian / Huang, Yue-Tong / Shi, Jie / Bao, Yan-Ping / Lu, Lin

    Epidemiology and psychiatric sciences

    2022  Volume 31, Page(s) e69

    Abstract: Aims: COVID-19 has long-term impacts on public mental health, while few research studies incorporate multidimensional methods to thoroughly characterise the psychological profile of general population and little detailed guidance exists for mental ... ...

    Abstract Aims: COVID-19 has long-term impacts on public mental health, while few research studies incorporate multidimensional methods to thoroughly characterise the psychological profile of general population and little detailed guidance exists for mental health management during the pandemic. This research aims to capture long-term psychological profile of general population following COVID-19 by integrating trajectory modelling approaches, latent trajectory pattern identification and network analyses.
    Methods: Longitudinal data were collected from a nationwide sample of 18 804 adults in 12 months after COVID-19 outbreak in China. Patient Health Questionnaire-9, Generalised Anxiety Disorder-7 and Insomnia Severity Index were used to measure depression, anxiety and insomnia, respectively. The unconditional and conditional latent growth curve models were fitted to investigate trajectories and long-term predictors for psychological symptoms. We employed latent growth mixture model to identify the major psychological symptom trajectory patterns, and ran sparse Gaussian graphical models with graphical lasso to explore the evolution of psychopathological network.
    Results: At 12 months after COVID-19 outbreak, psychological symptoms generally alleviated, and five psychological symptom trajectories with different demographics were identified: normal stable (63.4%), mild stable (15.3%), mild-increase to decrease (11.7%), mild-decrease to increase (4.0%) and moderate/severe stable (5.5%). The finding indicated that there were still about 5% individuals showing consistently severe distress and approximately 16% following fluctuating psychological trajectories, who should be continuously monitored. For individuals with persistently severe trajectories and those with fluctuating trajectories, central or bridge symptoms in the network were mainly 'motor abnormality' and 'sad mood', respectively. Compared with initial peak and late COVID-19 phase, aftermath of initial peak might be a psychologically vulnerable period with highest network connectivity. The central and bridge symptoms for aftermath of initial peak ('appetite change' and 'trouble of relaxing') were totally different from those at other pandemic phases ('sad mood').
    Conclusions: This research identified the overall growing trend, long-term predictors, trajectory classes and evolutionary pattern of psychopathological network of psychological symptoms in 12 months after COVID-19 outbreak. It provides a multidimensional long-term psychological profile of the general population after COVID-19 outbreak, and accentuates the essentiality of continuous psychological monitoring, as well as population- and time-specific psychological management after COVID-19. We believe our findings can offer reference for long-term psychological management after pandemics.
    MeSH term(s) Adult ; COVID-19 ; Depression/psychology ; Disease Outbreaks ; Humans ; SARS-CoV-2 ; Sleep Initiation and Maintenance Disorders/epidemiology
    Language English
    Publishing date 2022-09-27
    Publishing country England
    Document type Journal Article
    ZDB-ID 2607964-1
    ISSN 2045-7979 ; 2045-7960
    ISSN (online) 2045-7979
    ISSN 2045-7960
    DOI 10.1017/S2045796022000518
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Reply to Jang et al. 's commentary on Yue et al.: Efficacy and tolerability of pharmacological treatments for insomnia in adults: A systematic review and network meta-analysis.

    Yue, Jing-Li / Chang, Xiang-Wen / Zheng, Jun-Wei / Shi, Le / Xiang, Ya-Jie / Que, Jian-Yu / Yuan, Kai / Deng, Jia-Hui / Teng, Teng / Li, Yang-Yang / Sun, Wei / Sun, Hong-Qiang / Vitiello, Michael V / Tang, Xiang-Dong / Zhou, Xin-Yu / Bao, Yan-Ping / Shi, Jie / Lu, Lin

    Sleep medicine reviews

    2023  Volume 71, Page(s) 101815

    Language English
    Publishing date 2023-07-04
    Publishing country England
    Document type Letter
    ZDB-ID 1414211-9
    ISSN 1532-2955 ; 1087-0792
    ISSN (online) 1532-2955
    ISSN 1087-0792
    DOI 10.1016/j.smrv.2023.101815
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Association of Caffeine Consumption and Brain Amyloid Positivity in Cognitively Normal Older Adults.

    Zheng, Yong-Bo / Sun, Jie / Shi, Le / Su, Si-Zhen / Chen, Xuan / Wang, Qian-Wen / Huang, Yue-Tong / Wang, Yi-Jie / Zhu, Xi-Mei / Que, Jian-Yu / Zeng, Na / Lin, Xiao / Yuan, Kai / Yan, Wei / Deng, Jia-Hui / Shi, Jie / Bao, Yan-Ping / Lu, Lin

    Journal of Alzheimer's disease : JAD

    2023  Volume 93, Issue 2, Page(s) 483–493

    Abstract: Background: Several epidemiological studies have reported the protective role of caffeine on health outcomes; however, it remained debatable on caffeine consumption and brain amyloid positivity.: Objective: We aimed to determine the relationship ... ...

    Abstract Background: Several epidemiological studies have reported the protective role of caffeine on health outcomes; however, it remained debatable on caffeine consumption and brain amyloid positivity.
    Objective: We aimed to determine the relationship between caffeine consumption and brain amyloid pathology in cognitively normal older adults.
    Methods: The dataset used for analysis in this cross-sectional study was selected from the Anti-Amyloid Treatment in Asymptomatic Alzheimer's (A4) Study. Multivariable logistic regression analyses were performed to explore the association between caffeine consumption and amyloid positivity using odds ratios (ORs) and 95% confidence intervals (CIs).
    Results: In total, 4,394 participants were included in the final analysis. No significant association between caffeine consumption and amyloid positivity was observed in the whole participants (OR, 0.95; 95% CI, 0.78-1.14; p = 0.558). Subgroup analysis showed that caffeine intake was significantly associated with decreased amyloid positivity in males (OR, 0.72; 95% CI, 0.54-0.97; p = 0.032) but not in females (OR, 1.14; 95% CI, 0.90-1.46; p = 0.280), and the association between caffeine and amyloid positivity was not affected by age or APOE genotypes. In addition, different levels of caffeine were not associated with amyloid positivity.
    Conclusion: The findings suggest that caffeine consumption was not significantly associated with amyloid positivity in the whole sample. However, caffeine consumption may be inversely associated with amyloid positivity among males but not females. More studies are needed to explore the mechanisms underlying caffeine consumption and brain amyloid positivity.
    MeSH term(s) Male ; Humans ; Aged ; Caffeine ; Amyloid beta-Peptides/metabolism ; Cross-Sectional Studies ; Brain/pathology ; Amyloidogenic Proteins ; Positron-Emission Tomography ; Alzheimer Disease/epidemiology ; Alzheimer Disease/pathology
    Chemical Substances Caffeine (3G6A5W338E) ; Amyloid beta-Peptides ; Amyloidogenic Proteins
    Language English
    Publishing date 2023-04-10
    Publishing country Netherlands
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1440127-7
    ISSN 1875-8908 ; 1387-2877
    ISSN (online) 1875-8908
    ISSN 1387-2877
    DOI 10.3233/JAD-220591
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Reply to Hertenstein et al. 's commentary on Yue et al.: Efficacy and tolerability of pharmacological treatments for insomnia in adults: A systematic review and network meta-analysis.

    Yue, Jing-Li / Chang, Xiang-Wen / Zheng, Jun-Wei / Shi, Le / Xiang, Ya-Jie / Que, Jian-Yu / Yuan, Kai / Deng, Jia-Hui / Teng, Teng / Li, Yang-Yang / Sun, Wei / Sun, Hong-Qiang / Vitiello, Michael V / Tang, Xiang-Dong / Zhou, Xin-Yu / Bao, Yan-Ping / Shi, Jie / Lu, Lin

    Sleep medicine reviews

    2023  Volume 69, Page(s) 101773

    MeSH term(s) Humans ; Adult ; Sleep Initiation and Maintenance Disorders/drug therapy ; Network Meta-Analysis
    Language English
    Publishing date 2023-03-15
    Publishing country England
    Document type Meta-Analysis ; Systematic Review ; Journal Article ; Research Support, Non-U.S. Gov't ; Comment
    ZDB-ID 1414211-9
    ISSN 1532-2955 ; 1087-0792
    ISSN (online) 1532-2955
    ISSN 1087-0792
    DOI 10.1016/j.smrv.2023.101773
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Linking knowledge with attitude

    Lin Lu / Le Shi / Yong-Bo Zheng / Jian-Yu Que / Jia-Hui Deng / Qian-Wen Wang / Si-Zhen Su / Zheng-An Lu / Yan-Ping Bao

    BMJ Open, Vol 12, Iss

    a cross-sectional study of public knowledge and attitude towards sleep disturbances and dementia

    2022  Volume 12

    Abstract: Objectives Sleep disturbances increase the risk of dementia; however, there is insufficient information regarding this. We aimed to investigate public knowledge on the relationship between sleep disturbances and dementia, as well as attitudes towards ... ...

    Abstract Objectives Sleep disturbances increase the risk of dementia; however, there is insufficient information regarding this. We aimed to investigate public knowledge on the relationship between sleep disturbances and dementia, as well as attitudes towards improving sleep quality and obtaining knowledge on dementia.Design and setting A cross-sectional web-based questionnaire was administered between May and October 2019.Participants All participants provided informed consent and were able to respond to the survey.Primary outcomes Factors associated with the knowledge that sleep disturbances are risk factors for dementia and proportions of individuals with this knowledge; attitudes towards improving sleep quality and obtaining knowledge about dementia.Results Of the 3329 eligible samples, 72.57% correctly recognised that sleep disturbances increased the risk of dementia. In total, 92.97% of participants were willing to take at least one measure to improve sleep quality, and the percentages of those adopting these measures are as follows: 78.73% would lead a regular life, 67.88% would engage in strengthening exercise, 28.84% would undergo psychotherapy and 19.41% would take medication. The awareness regarding sleep disturbances increasing the risk of dementia was the only factor associated with the willingness to improve sleep quality in all four categories of measures. Almost all participants (95.25%) were willing to take at least one measure to acquire knowledge about dementia, with the following participants displaying higher willingness to obtain knowledge about dementia: female, had contact with dementia and considered sleep disturbances to increase the risk of dementia.Conclusions Our findings indicate an association between people’s knowledge and attitudes, suggesting the importance of disseminating knowledge about sleep disturbances and dementia to achieve dementia prevention in future.
    Keywords Medicine ; R
    Subject code 360
    Language English
    Publishing date 2022-12-01T00:00:00Z
    Publisher BMJ Publishing Group
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article: The Impact of Quarantine on Pain Sensation among the General Population in China during the COVID-19 Pandemic.

    Sun, Jie / Zheng, Yong-Bo / Liu, Lin / Li, Shui-Qing / Zhao, Yi-Miao / Zhu, Xi-Mei / Que, Jian-Yu / Li, Ming-Zhe / Liu, Wei-Jian / Yuan, Kai / Yan, Wei / Liu, Xiao-Guang / Chang, Su-Hua / Chen, Xuan / Gao, Nan / Shi, Jie / Bao, Yan-Ping / Lu, Lin

    Brain sciences

    2022  Volume 12, Issue 1

    Abstract: During the pandemic era, quarantines might potentially have negative effects and disproportionately exacerbate health condition problems. We conducted this cross-sectional, national study to ascertain the prevalence of constant pain symptoms and how ... ...

    Abstract During the pandemic era, quarantines might potentially have negative effects and disproportionately exacerbate health condition problems. We conducted this cross-sectional, national study to ascertain the prevalence of constant pain symptoms and how quarantines impacted the pain symptoms and identify the factors associated with constant pain to further guide reducing the prevalence of chronic pain for vulnerable people under the pandemic. The sociodemographic data, quarantine conditions, mental health situations and pain symptoms of the general population were collected. After adjusting for potential confounders, long-term quarantine (≥15 days) exposures were associated with an increased risk of constant pain complaints compared to those not under a quarantine (Odds Ratio (OR): 1.26; 95% Confidence Interval (CI): 1.03, 1.54;
    Language English
    Publishing date 2022-01-05
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2651993-8
    ISSN 2076-3425
    ISSN 2076-3425
    DOI 10.3390/brainsci12010079
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Workforce situation of the Chinese mental health care system: results from a cross-sectional study.

    Yue, Jing-Li / Li, Na / Que, Jian-Yu / Hu, Si-Fan / Xiong, Na-Na / Deng, Jia-Hui / Ma, Ning / Sun, Si-Wei / Chi, Rui / Shi, Jie / Sun, Hong-Qiang

    BMC psychiatry

    2022  Volume 22, Issue 1, Page(s) 562

    Abstract: Background: High-quality mental health services can improve outcomes for people with mental health problems and abate the burden of mental disorders. We sought to identify the challenges the country's mental health system currently faces and the human ... ...

    Abstract Background: High-quality mental health services can improve outcomes for people with mental health problems and abate the burden of mental disorders. We sought to identify the challenges the country's mental health system currently faces and the human resource situation related to psychological services and to provide recommendations on how the mental health workforce situation could be addressed in China.
    Methods: This study used a cross-sectional survey design. A web-based questionnaire approach and a convenience sampling method were adopted. It was carried out from September 2020 to January 2021 in China, and we finally included 3824 participants in the analysis. Descriptive statistical analysis of the characteristics of the study sample was performed. The risk factors for competence in psychological counseling/psychotherapy were assessed using multiple linear regression analysis.
    Results: Workforce related to psychotherapy is scarce in China, especially in Western China and community mental health sectors. Psychiatrists (39.1%) and nurses (38.9%) were the main service providers of psychotherapy in psychiatric hospitals, and clinical psychologists (6.9%) and counsellors (5.0%) were seriously scarce in mental health care sectors. A total of 74.2% of respondents had no systematic psychological training, and 68.4 and 69.2% of them had no self-experience and professional supervision, respectively. Compared with clinical psychologists and counselors, psychiatrists and nurses had less training. Systematic psychological training (β = - 0.88), self-experience (β = - 0.59) and professional supervision (β = - 1.26) significantly influenced psychotherapy capacity (P<0.001).
    Conclusions: Sustained effort will be required to provide a high-quality, equitably distributed psychotherapy workforce in China, despite challenges for community mental health sectors and western China being likely to continue for some time. Because mental illness is implicated in so many burgeoning social ills, addressing this shortfall could have wide-ranging benefits.
    MeSH term(s) China ; Cross-Sectional Studies ; Delivery of Health Care ; Humans ; Mental Health Services ; Workforce
    Language English
    Publishing date 2022-08-22
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2050438-X
    ISSN 1471-244X ; 1471-244X
    ISSN (online) 1471-244X
    ISSN 1471-244X
    DOI 10.1186/s12888-022-04204-7
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Accessibility to Digital Mental Health Services among the General Public throughout COVID-19

    Zheng-An Lu / Le Shi / Jian-Yu Que / Yong-Bo Zheng / Qian-Wen Wang / Wei-Jian Liu / Yue-Tong Huang / Xiao-Xing Liu / Kai Yuan / Wei Yan / Jie Shi / Yan-Ping Bao / Lin Lu

    International Journal of Environmental Research and Public Health, Vol 19, Iss 3593, p

    Trajectories, Influencing Factors and Association with Long-Term Mental Health Symptoms

    2022  Volume 3593

    Abstract: Digital mental health services (DMHSs) have great potential for mitigating the mental health burden related to COVID-19, but public accessibility (ease of acquiring services when needed) to DMHSs during the pandemic is largely unknown. Accessibility to ... ...

    Abstract Digital mental health services (DMHSs) have great potential for mitigating the mental health burden related to COVID-19, but public accessibility (ease of acquiring services when needed) to DMHSs during the pandemic is largely unknown. Accessibility to DMHSs was tracked longitudinally among a nationwide sample of 18,804 adults in China from before to one year after COVID-19 outbreak. Unconditional and conditional latent growth curve models and latent growth mixture models were fitted to explore the overall growth trend, influencing factors, and latent trajectory classes of accessibility to DMHSs throughout COVID-19. Generalized estimating equation models and generalized linear mixed models were employed to explore the association between accessibility to DMHSs and long-term mental health symptoms. We found that people generally reported increased difficulty in accessing DMHSs from before to one year after COVID-19 outbreak. Males, youngsters, individuals with low socioeconomic status, and individuals greatly affected by COVID-19 reported greater difficulty in accessing DMHSs. Four DMHS accessibility trajectory classes were identified: “lowest–great increase” (6.3%), “moderate low–slight increase” (44.4%), “moderate high–slight decrease” (18.1%) and “highest–great decrease” (31.2%). Trajectory classes reporting greater difficulty in accessing DMHSs were at higher risk for long-term mental symptoms. In conclusion, an overall increase in difficulty in accessing DMHSs is observed throughout COVID-19, and heterogeneity exists in DMHS accessibility trajectories. Our results suggest that easy access to DMHSs should be consistently facilitated. Moreover, access gaps should be reduced across demographic groups, and target populations for service allocation should alter as the pandemic evolves.
    Keywords digital mental health services ; COVID-19 ; accessibility ; trajectory ; Medicine ; R
    Subject code 360
    Language English
    Publishing date 2022-03-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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