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  1. Article ; Online: Omitted Acknowledgment of Local Contributors to Study.

    Wade, Mark

    JAMA psychiatry

    2019  Volume 76, Issue 4, Page(s) 447

    Language English
    Publishing date 2019-02-26
    Publishing country United States
    Document type Journal Article ; Published Erratum
    ZDB-ID 2701203-7
    ISSN 2168-6238 ; 2168-622X
    ISSN (online) 2168-6238
    ISSN 2168-622X
    DOI 10.1001/jamapsychiatry.2018.4596
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Ui I Zs.235: Show issues Location:
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    ab Jg. 2022: Lesesaal (EG)

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  2. Article ; Online: Working to protect rights: Women's civil liberties in cross-cultural perspective.

    Cole, Wade M

    Social science research

    2020  Volume 91, Page(s) 102461

    Abstract: Using data for a majority of the world's countries over a 25- to 55-year period, this paper analyzes cross-cultural heterogeneity in women's civil liberties independently of and relative to men. Civil liberties include the freedoms of discussion and ... ...

    Abstract Using data for a majority of the world's countries over a 25- to 55-year period, this paper analyzes cross-cultural heterogeneity in women's civil liberties independently of and relative to men. Civil liberties include the freedoms of discussion and movement, freedom from forced labor, property rights, and access to justice. Regression analyses show that women's civil liberties vary considerably across cultural zones defined by the intersection of religious traditions and geographical regions. These patterns persist even when controlling for factors such as democracy and development. Accounting for women's political representation and educational attainment often reduces but never eliminates these cross-cultural differences; the same is true for embeddedness in world society. In contrast, women's labor force participation all but erases negative cultural effects, and instrumental-variables analyses suggest that this factor is a causal determinant of women's civil liberties. Efforts to improve women's rights should therefore focus on overcoming cultural barriers to their workforce participation.
    MeSH term(s) Cross-Cultural Comparison ; Developing Countries ; Educational Status ; Female ; Freedom ; Humans ; Male ; Socioeconomic Factors ; Women's Rights
    Language English
    Publishing date 2020-08-14
    Publishing country United States
    Document type Journal Article
    ISSN 1096-0317
    ISSN (online) 1096-0317
    DOI 10.1016/j.ssresearch.2020.102461
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  3. Article: Thrombectomy of a Complex Deep Vein Thrombosis: A Case Report.

    Shabbir, Talha / Wade, Matthew / Das, Krishna / Nayyar, Rahul

    Cureus

    2023  Volume 15, Issue 1, Page(s) e33413

    Abstract: A deep vein thrombosis (DVT) is a multifactorial condition characterized by a thrombus or blood clot developing in the deep veins of the upper or lower extremities. The presentation of DVT is characterized by unilateral peripheral edema and signs of ... ...

    Abstract A deep vein thrombosis (DVT) is a multifactorial condition characterized by a thrombus or blood clot developing in the deep veins of the upper or lower extremities. The presentation of DVT is characterized by unilateral peripheral edema and signs of inflammation in the affected extremity. The treatment of DVT is complex and case-dependent; however, most individuals are managed with oral anticoagulation therapy, while complex cases can be treated with advanced interventions. This report discusses a singular case of an atypical or complex DVT in a middle-aged woman with prior venous thromboembolic events undergoing a thrombectomy using an Inari FlowTriever system.
    Language English
    Publishing date 2023-01-05
    Publishing country United States
    Document type Case Reports
    ZDB-ID 2747273-5
    ISSN 2168-8184
    ISSN 2168-8184
    DOI 10.7759/cureus.33413
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  4. Article ; Online: Why we still need longitudinal mental health research with children and youth during (and after) the COVID-19 pandemic.

    Wade, Mark / Prime, Heather / Browne, Dillon T

    Psychiatry research

    2023  Volume 323, Page(s) 115126

    MeSH term(s) Adolescent ; Child ; Humans ; COVID-19 ; Mental Health ; Pandemics
    Language English
    Publishing date 2023-02-22
    Publishing country Ireland
    Document type Letter
    ZDB-ID 445361-x
    ISSN 1872-7123 ; 1872-7506 ; 0925-4927 ; 0165-1781
    ISSN (online) 1872-7123 ; 1872-7506
    ISSN 0925-4927 ; 0165-1781
    DOI 10.1016/j.psychres.2023.115126
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    Zs.A 1541: Show issues Location:
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  5. Book ; Online: Sparse-penalized deep neural networks estimator under weak dependence

    Kengne, William / Wade, Modou

    2023  

    Abstract: We consider the nonparametric regression and the classification problems for $\psi$-weakly dependent processes. This weak dependence structure is more general than conditions such as, mixing, association, $\ldots$. A penalized estimation method for ... ...

    Abstract We consider the nonparametric regression and the classification problems for $\psi$-weakly dependent processes. This weak dependence structure is more general than conditions such as, mixing, association, $\ldots$. A penalized estimation method for sparse deep neural networks is performed. In both nonparametric regression and binary classification problems, we establish oracle inequalities for the excess risk of the sparse-penalized deep neural networks estimators. Convergence rates of the excess risk of these estimators are also derived. The simulation results displayed show that, the proposed estimators overall work well than the non penalized estimators.
    Keywords Statistics - Machine Learning ; Computer Science - Machine Learning ; Mathematics - Statistics Theory
    Publishing date 2023-03-02
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Book ; Online: Penalized deep neural networks estimator with general loss functions under weak dependence

    Kengne, William / Wade, Modou

    2023  

    Abstract: This paper carries out sparse-penalized deep neural networks predictors for learning weakly dependent processes, with a broad class of loss functions. We deal with a general framework that includes, regression estimation, classification, times series ... ...

    Abstract This paper carries out sparse-penalized deep neural networks predictors for learning weakly dependent processes, with a broad class of loss functions. We deal with a general framework that includes, regression estimation, classification, times series prediction, $\cdots$ The $\psi$-weak dependence structure is considered, and for the specific case of bounded observations, $\theta_\infty$-coefficients are also used. In this case of $\theta_\infty$-weakly dependent, a non asymptotic generalization bound within the class of deep neural networks predictors is provided. For learning both $\psi$ and $\theta_\infty$-weakly dependent processes, oracle inequalities for the excess risk of the sparse-penalized deep neural networks estimators are established. When the target function is sufficiently smooth, the convergence rate of these excess risk is close to $\mathcal{O}(n^{-1/3})$. Some simulation results are provided, and application to the forecast of the particulate matter in the Vit\'{o}ria metropolitan area is also considered.
    Keywords Statistics - Machine Learning ; Computer Science - Machine Learning ; Mathematics - Statistics Theory
    Subject code 519
    Publishing date 2023-05-10
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Book ; Online: Digital technology to construct 3D hydrodynamic models for monitoring environmental flows

    Wade, M. / Kaizer, A. / McNeil, T. / O’Brien, G.

    2023  

    Abstract: To support the implementation of environmental flows (e-flows), we piloted a three-dimensional digital modeling approach to monitor the changes in river ecosystems. A high-resolution 3D model of study sites in the Crocodile River, South Africa, was ... ...

    Abstract To support the implementation of environmental flows (e-flows), we piloted a three-dimensional digital modeling approach to monitor the changes in river ecosystems. A high-resolution 3D model of study sites in the Crocodile River, South Africa, was constructed and used to test its utility and value to monitor changes in river ecosystem structure over time. The initial demonstration of the approach shows highly detailed 3D models of nine tracks across the study sites. The output represents the velocity-depth and bathymetry variability of each site in 3D. The dataset successfully demonstrated the potential value of adopting the approach for e-flow implementation to monitor the habitat dynamism to support the timely management of river health. In the next phase, this assessment will integrate the 3D modeling approach into a hydrodynamic modeling framework to investigate dynamic relationships between flow-ecosystem and ecosystem services.
    Keywords environmental flows ; monitoring ; digital technology ; hydrodynamics ; models ; rivers ; ecosystems ; habitats ; discharges
    Language English
    Publishing date 2023-01-24T12:50:21Z
    Publisher CGIAR Initiative on Digital Innovation
    Publishing country fr
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: Wealth and health revisited: Economic growth and wellbeing in developing countries, 1970 to 2015.

    Cole, Wade M

    Social science research

    2018  Volume 77, Page(s) 45–67

    Abstract: Is wealthier always healthier, or are the health effects of economic growth trivial, irregular, or perhaps even detrimental? Using data for up to 134 developing countries between 1970 and 2015, this article revisits the effect of economic growth on ... ...

    Abstract Is wealthier always healthier, or are the health effects of economic growth trivial, irregular, or perhaps even detrimental? Using data for up to 134 developing countries between 1970 and 2015, this article revisits the effect of economic growth on health, focusing on infant mortality, life expectancy, and caloric consumption. The analysis enlarges the geographical and temporal scope of previous samples and attempts to isolate the causal effects of growth using two-stage models with instrumental variables. Results show that five-year economic growth rates improve all three health outcomes, even after controlling for other important determinants and accounting for the possibility of reverse causality. Growth effects are largest for infant mortality rates. Nevertheless, there are diminishing returns to economic growth as a function of economic development: as countries become more affluent, the benefits of growth for health diminish.
    Language English
    Publishing date 2018-09-24
    Publishing country United States
    Document type Journal Article
    ISSN 1096-0317
    ISSN (online) 1096-0317
    DOI 10.1016/j.ssresearch.2018.09.003
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: Covid-19 has accelerated digital transformation, but may have made it harder not easier

    Wade, M. / Shan, J.

    MIS Quarterly Executive

    Abstract: The impact of Covid-19 on digital transformation is not straightforward Although many organizations have successfully implemented digital projects to support working from home during the pandemic, the particular conditions in place at this time are ... ...

    Abstract The impact of Covid-19 on digital transformation is not straightforward Although many organizations have successfully implemented digital projects to support working from home during the pandemic, the particular conditions in place at this time are unlikely to be repeated, meaning that future digital transformation programs may be harder to complete successfully The insights from our research provide best practices to improve the likelihood of digital transformation success in a post-Covid-19 world © Indiana University
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #832677
    Database COVID19

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  10. Article ; Online: Family functioning in the context of current and historical stressors: Exploring the buffering role of social support.

    Sloss, Imogen M / Smith, Jackson / Sebben, Sofia / Wade, Mark / Prime, Heather / Browne, Dillon T

    Child abuse & neglect

    2024  , Page(s) 106711

    Abstract: Background: Adverse Childhood Experiences (ACEs) can be passed onto future generations through complex biopsychosocial mechanisms. However, social support in caregivers who have experienced adversity may lead to adaptation. Most research on the ... ...

    Abstract Background: Adverse Childhood Experiences (ACEs) can be passed onto future generations through complex biopsychosocial mechanisms. However, social support in caregivers who have experienced adversity may lead to adaptation. Most research on the intergenerational consequences of ACEs has focused on mental health in subsequent generations, while overlooking family functioning as an outcome.
    Objective: This pre-registered study addresses this gap by examining a hypothesized association between caregiver ACEs and caregiver-perceived family functioning, and the moderating role of social support. It was expected that high levels of social support would attenuate the association between caregiver ACEs and family functioning, controlling for contemporaneous stressors in the context of the COVID-19 pandemic.
    Participants and setting: Data come from a multinational non-clinical sample (n = 310).
    Methods: Caregivers completed self-report measures to assess caregiver ACEs, social support, COVID stressors, and family dysfunction.
    Results: Multiple regression analyses revealed that the ACEs-by-social support interaction was not significant. Exploratory analyses revealed a significant three-way interaction between COVID stressors, ACEs, and social support (b = 0.001, SE < 0.001, p = .008). For lower adversity, social support protected against the association between COVID stressors and family dysfunction; however, for higher adversity, social support was only protective when COVID stressors were low.
    Conclusions: Social support is protective against concurrent stressors during the pandemic in relation to family functioning, though this buffering depends on historical levels of adversity. Findings are interpreted through a trauma-informed lens and provide support for family-focused interventions and policies to mitigate the impact of stress on caregivers with high ACEs.
    Language English
    Publishing date 2024-02-21
    Publishing country England
    Document type Journal Article
    ZDB-ID 799143-5
    ISSN 1873-7757 ; 0145-2134
    ISSN (online) 1873-7757
    ISSN 0145-2134
    DOI 10.1016/j.chiabu.2024.106711
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    Zs.A 1437: Show issues Location:
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