Marital Disruption and Health: Investigating the Role of Divorce in Differential Outcomes

2003 ◽  
Vol 36 (3) ◽  
pp. 241-255 ◽  
Author(s):  
Renée B. Canady ◽  
Clifford Broman
2018 ◽  
Author(s):  
Linda Katherine Kaye ◽  
Rachel Kowert ◽  
Sally Quinn

Previous literature has found inconsistent relationships between online gaming engagement and psychosocial outcomes. To add clarity to this discussion, we explored these relationships though a multidimensional lens of gaming engagement. That is, we examined the role of gamer identity and online social capital as mediators of online gaming engagement and psychosocial outcomes (i.e. self-esteem, loneliness, social competence). We addressed this in a sample of Massively Multiplayer Online (MMOs) players (N = 708), via an online questionnaire to establish cross-sectional associations. Findings revealed positive relationships between MMO engagement (measured by a multidimensional measure), gamer identity, and online social capital. Additionally, gamer identity related positively to self-esteem and social competence, and negatively with loneliness. Differential outcomes were also found between social capital and loneliness. Specifically, loneliness was negatively related to online bonding, but positively with online bridging capital, highlighting the importance of exploring the constitution of gaming communities to assess their role in promoting varying dimensions of social capital and the associated psychological correlates. Taken together, we evidence the psychosocial benefits of MMO engagement, specifically in relation to the social value of identifying and connecting with others in MMOs. Additionally, we highlight the complexities surrounding the concept and measurement of gaming engagement


Author(s):  
Víctor Martínez-Pérez ◽  
Luis J. Fuentes ◽  
Guillermo Campoy

2020 ◽  
Vol 21 (19) ◽  
pp. 7090
Author(s):  
Rajneesh Srivastava ◽  
Swapna Vidhur Daulatabad ◽  
Mansi Srivastava ◽  
Sarath Chandra Janga

The outbreak of a novel coronavirus SARS-CoV-2 responsible for the COVID-19 pandemic has caused a worldwide public health emergency. Due to the constantly evolving nature of the coronaviruses, SARS-CoV-2-mediated alterations on post-transcriptional gene regulations across human tissues remain elusive. In this study, we analyzed publicly available genomic datasets to systematically dissect the crosstalk and dysregulation of the human post-transcriptional regulatory networks governed by RNA-binding proteins (RBPs) and micro-RNAs (miRs) due to SARS-CoV-2 infection. We uncovered that 13 out of 29 SARS-CoV-2-encoded proteins directly interacted with 51 human RBPs, of which the majority of them were abundantly expressed in gonadal tissues and immune cells. We further performed a functional analysis of differentially expressed genes in mock-treated versus SARS-CoV-2-infected lung cells that revealed enrichment for the immune response, cytokine-mediated signaling, and metabolism-associated genes. This study also characterized the alternative splicing events in SARS-CoV-2-infected cells compared to the control, demonstrating that skipped exons and mutually exclusive exons were the most abundant events that potentially contributed to differential outcomes in response to the viral infection. A motif enrichment analysis on the RNA genomic sequence of SARS-CoV-2 clearly revealed the enrichment for RBPs such as SRSFs, PCBPs, ELAVs, and HNRNPs, suggesting the sponging of RBPs by the SARS-CoV-2 genome. A similar analysis to study the interactions of miRs with SARS-CoV-2 revealed functionally important miRs that were highly expressed in immune cells, suggesting that these interactions may contribute to the progression of the viral infection and modulate the host immune response across other human tissues. Given the need to understand the interactions of SARS-CoV-2 with key post-transcriptional regulators in the human genome, this study provided a systematic computational analysis to dissect the role of dysregulated post-transcriptional regulatory networks controlled by RBPs and miRs across tissue types during a SARS-CoV-2 infection.


Demography ◽  
1986 ◽  
Vol 23 (4) ◽  
pp. 621 ◽  
Author(s):  
Richard Burkhauser ◽  
Karen C. Holden ◽  
Daniel A. Myers
Keyword(s):  

2008 ◽  
Vol 62 (1) ◽  
pp. 33-40 ◽  
Author(s):  
Robin Freeman ◽  
Dora Biro

During group navigation the information shared by group members may be complex, heterogeneous and may vary over time. Nevertheless, modelling approaches have demonstrated that even relatively simple interactions between individuals can produce complex collective outcomes. In such models each individual follows the same simple set of local rules, giving rise to differential outcomes of the navigational decision-making process depending on various parameters. However, inherent heterogeneity within groups means that some group members may emerge as more influential than others in navigational tasks and this underlying social structure may affect the ability of the group at large. Here, we present our preliminary modelling of group navigation specifically developed to include internal group structure. Building on existing models and recent experimental results we examine the role of individual influence on group navigation and its effects on group navigational ability.


2020 ◽  
Author(s):  
Rajneesh Srivastava ◽  
Swapna Vidhur Daulatabad ◽  
Mansi Srivastava ◽  
Sarath Chandra Janga

AbstractThe outbreak of a novel coronavirus SARS-CoV-2 responsible for COVID-19 pandemic has caused worldwide public health emergency. Due to the constantly evolving nature of the coronaviruses, SARS-CoV-2 mediated alteration on post-transcriptional gene regulation across human tissues remains elusive. In this study, we analyze publicly available genomic datasets to systematically dissect the crosstalk and dysregulation of human post-transcriptional regulatory networks governed by RNA binding proteins (RBPs) and micro-RNAs (miRs), due to SARS-CoV-2 infection. We uncovered that 13 out of 29 SARS-CoV-2 encoded proteins directly interact with 51 human RBPs of which majority of them were abundantly expressed in gonadal tissues and immune cells. We further performed a functional analysis of differentially expressed genes in mock-treated versus SARS-CoV-2 infected lung cells that revealed enrichment for immune response, cytokine-mediated signaling, and metabolism associated genes. This study also characterized the alternative splicing events in SARS-CoV-2 infected cells compared to control demonstrating that skipped exons and mutually exclusive exons were the most abundant events that potentially contributed to differential outcomes in response to viral infection. Motif enrichment analysis on the RNA genomic sequence of SARS-CoV-2 clearly revealed the enrichment for RBPs such as SRSFs, PCBPs, ELAVs, and HNRNPs suggesting the sponging of RBPs by SARS-CoV-2 genome. A similar analysis to study the interactions of miRs with SARS-CoV-2 revealed functionally important miRs that were highly expressed in immune cells, suggesting that these interactions may contribute to the progression of the viral infection and modulate host immune response across other human tissues. Given the need to understand the interactions of SARS-CoV-2 with key post-transcriptional regulators in the human genome, this study provides a systematic computational analysis to dissect the role of dysregulated post-transcriptional regulatory networks controlled by RBPs and miRs, across tissues types during SARS-CoV-2 infection.


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