Implementation of a conversational, videoconferencing-based therapy group for postpartum depression and anxiety symptoms: A pragmatic evaluation.

Background: Group psychotherapy is an effective treatment for postpartum depressive and anxiety symptoms, and interpersonal connection and support through the group process can aid recovery. Little is known about the implication of the delivery of interpersonally oriented group therapy in this population through videoconferencing.

Objective: To pragmatically evaluate the implementation of a conversationally-oriented postpartum videoconferencing psychotherapy group for depression and anxiety within the clinical setting.

An Approach to a Silver Conductive Ink for Inkjet Printer Technology.

Silver-based metal-organic decomposition inks composed of silver salts, complexing agents and volatile solvents are now the subject of much research due to the simplicity and variability of their preparation, their high stability and their relatively low sintering temperature. The use of this type of ink in inkjet printing allows for improved cost-effective and environmentally friendly technology for the production of electrical devices, including flexible electronics. An approach to producing a silver salt-based reactive ink for jet printing has been developed.

Cues to land softly and quietly result in acute reductions in ground reaction force loading rates in runners.

Background: A common gait retraining goal for runners is reducing vertical ground reaction force (GRF) loading rates (LRs), which have been associated with injury. Many gait retraining programs prioritize an internal focus of attention, despite evidence supporting an external focus of attention when a specific outcome is desired (e.g.

Simultaneous inference for generalized linear models with unmeasured confounders.

Tens of thousands of simultaneous hypothesis tests are routinely performed in genomic studies to identify differentially expressed genes. However, due to unmeasured confounders, many standard statistical approaches may be substantially biased. This paper investigates the large-scale hypothesis testing problem for multivariate generalized linear models in the presence of confounding effects.