Using Flies to Understand Social Networks.

Many animals live in groups and interact with each other, creating an organized collective structure. Social network analysis (SNA) is a statistical tool that aids in revealing and understanding the organized patterns of shared social connections between individuals in groups. Surprisingly, the application of SNA revealed that , previously considered a solitary organism, displays group dynamics and that the structure of group life is inherited.

Factors related to medical neglect recurrence and foster care and adoption services.

Background: Medical neglect is defined as the failure of a caretaker to heed obvious signs of serious illness, to seek medical care in a timely fashion, or to follow instructions once medical advice is obtained. It is reportable as a form of child maltreatment.

Objectives: (1) identify factors associated with referrals after medical neglect to adoption and foster care services; (2) describe a cohort of children with first-time cases; and (3) assess whether there were factors associated with recurrence.

The gene affects social networks.

displays social behaviors including courtship, mating, aggression, and group foraging. Recent studies employed social network analyses (SNAs) to show that strains differ in their group behavior, suggesting that genes influence social network phenotypes. Aside from genes associated with sensory function, few studies address the genetic underpinnings of these networks.

A case of multiple cerebral cavernomas associated with en coup de sabre scleroderma.

Linear scleroderma is a form of localized scleroderma that presents as band-like sclerotic lesions. When it occurs on the scalp or forehead, it is called "en coup de sabre scleroderma" (ECDS). Extracutaneous associations, mostly neurologic, have been described with ECDS.

Network analyses reveal structure in insect social groups.

Animals, from flies to humans, interact with each other, forming complex relationships and structured social interaction networks. These networks describe patterns of interactions that occur within a group. Social network analysis (SNA) is the statistical analysis of nodes, which represent individuals within a network who are connected by social ties, often called edges, that represent interactions between individuals.