female networks
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2021 ◽  
pp. 201-213
Author(s):  
Marija Laugalyte
Keyword(s):  

2021 ◽  
pp. 1-14
Author(s):  
Laura Casas ◽  
Fran Saborido-Rey

Fishes are the only vertebrates that undergo sex change during their lifetime, but even within this group, a unique reproductive strategy is displayed by only 1.5% of the teleosts. This lability in alternating sexual fate is the result of the simultaneous suppression and activation of opposing male and female networks. Here, we provide a brief review summarizing recent advances in our understanding of the environmental cues that trigger sex change and their perception, integration, and translation into molecular cascades that convert the sex of an individual. We particularly focus on molecular events underpinning the complex behavioral and morphological transformation involved in sex change, dissecting the main molecular players and regulatory networks that shape the transformation of one sex into the opposite. We show that histological changes and molecular pathways governing gonadal reorganization are better described than the neuroendocrine basis of sex change and that, despite important advances, information is lacking for the majority of hermaphrodite species. We highlight significant gaps in our knowledge of how sex change takes place and suggest future research directions.


2020 ◽  
Author(s):  
Anders Lindh Olsson ◽  
Markus Snellman ◽  
Knut Deppert ◽  
Inger Lövkrona

In this study, we used data from LinkedIn networks to gain insight in how different groups network in terms of network size and gender composition among men and women. We have gathered categorical data from 751 LinkedIn networks to quantitatively analyze networking tendencies and network gender compositions in the categories gender, age, sector of work, fi?eld of work, level of education and area of residence. We have also determined networking "savviness" as a quantitative measure of social networking for comparing groups in the categories. The observations made regarding networking behavior among female and male LinkedIn users include that women on average had more female contacts than men in all categories. Female networks working in a non-technical fi?eld were found to have the most gender equal networks of all groups with an average of 42.5% female contacts. The data show further, that men and women in STEM and the private sector were savvier networkers and that users with a PhD had fewer female contacts on average than those without a PhD. Further, Scandinavian networks had signi?cantly more female contacts in their networks than networks from other European countries and North America had.


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