Although researchers have established the roles of oxytocin (OT) in promoting affiliative bonds and cortisol (CT) in adapting to stress, the investigation of their interplay with non-verbal behaviors has only recently begun. In this study, we employed social signal-processing techniques to investigate relationships between non-verbal features: infant and father vocalizations, infant-directed speech, speech turn-taking (STT) and hormonal dynamics (OT and CT). Thirty-five fathers were asked to interact with their infants following the fathers self-administration of OT or placebo. We consider the three episodes of the Still Face (SF) paradigm: (1) a baseline normal interaction episode, (2) the SF episode, in which the father becomes unresponsive and maintains a neutral facial expression, and (3) a reunion in which parents and their infants re-engage in interaction. This paradigm elicited stress in the infant. Statistical relationships are assessed by correlation analysis and linear mixed models (LMMs). The results indicate that (i) infant vocalization and STT are key social cues regulating interactions during the stress-inducing and reunion episodes, with infant vocalization leading the interaction dynamics; (ii) father empty pause was the main adaptive behavior of fathers after SF; (iii) OT did not modulate infant STT or father STT/fatherese; (iv) CT appeared to modulate the interaction.

Black-box security testing of web applications is a hard problem. The main complication lies in the black-box assumption: The testing tool has limited insight into the workings of server-side defenses. This has traditionally led commercial as well as research vulnerability scanners toward heuristic approaches, such as testing each input point (e.g. HTTP parameter) with a short, predefined list of effective test payloads to balance between coverage and performance.

Taint analysis, a form of information-flow analysis, establishes whether values from untrusted methods and parameters may flow into security-sensitive operations. Taint analysis can detect many common vulnerabilities in Web applications, and so has attracted much attention from both the research community and industry. However, most static taint-analysis tools do not address critical requirements for an industrial-strength tool. Specifically, an industrial-strength tool must scale to large industrial Web applications, model essential Web-application code artifacts, and generate consumable reports for a wide range of attack vectors.