Testing reliability and validity of practitioner-rated parental sensitivity: A novel tool for practice.

Improving parental sensitivity is an important objective of interventions to support families. This study examined reliability and validity of parental sensitivity ratings using a novel package of an e-learning tool and an interactive decision tree provided through a mobile application, called the OK! package. Independent raters assessed parental sensitivity using the OK! package (N = 11 raters) and the NICHD Parental Sensitivity rating scales (N = 22 raters) on the basis of videotaped mother-child interactions at 10- or 12-months-old (N = 294) and at 24-months-old (N = 204) from the Dutch longitudinal cohort study Generation .

Multiomics Data Collection, Visualization, and Utilization for Guiding Metabolic Engineering.

Biology has changed radically in the past two decades, growing from a purely descriptive science into also a design science. The availability of tools that enable the precise modification of cells, as well as the ability to collect large amounts of multimodal data, open the possibility of sophisticated bioengineering to produce fuels, specialty and commodity chemicals, materials, and other renewable bioproducts. However, despite new tools and exponentially increasing data volumes, synthetic biology cannot yet fulfill its true potential due to our inability to predict the behavior of biological systems.

A novel endoimaging system for endoscopic 3D reconstruction in bladder cancer patients.

Introduction: The methods employed to document cystoscopic findings in bladder cancer patients lack accuracy and are subject to observer variability. We propose a novel endoimaging system and an online documentation platform to provide post-procedural 3D bladder reconstructions for improved diagnosis, management and follow-up.

Material And Methods: The RaVeNNA4pi consortium is comprised of five industrial partners, two university hospitals and two technical institutes.

The Experiment Data Depot: A Web-Based Software Tool for Biological Experimental Data Storage, Sharing, and Visualization.

Although recent advances in synthetic biology allow us to produce biological designs more efficiently than ever, our ability to predict the end result of these designs is still nascent. Predictive models require large amounts of high-quality data to be parametrized and tested, which are not generally available. Here, we present the Experiment Data Depot (EDD), an online tool designed as a repository of experimental data and metadata.