Efficacy testing of novel organic fungicides and elicitors: from the lab to the field

Novel organic fungicides and elicitors against downy mildew on grapevines were evaluated on grapevine seedlings in a series of indoor screening experiments under controlled conditions and, if they have shown a good efficacy indoors, in a screening vineyard under field conditions. From 39 products tested under controlled conditions 10 were further examined under field conditions. All of the new products tested under field conditions showed at least partial efficacy. However, the efficacy was not good enough to protect grapevine plants sufficiently from downy mildew. For a complete re-placement of copper in plant protection against downy mildew on grapevine in organic agriculture, additional new products are needed

Cheetah Experimental Platform Web 1.0: Cleaning Pupillary Data

Recently, researchers started using cognitive load in various settings, e.g., educational psychology, cognitive load theory, or human-computer interaction. Cognitive load characterizes a tasks' demand on the limited information processing capacity of the brain. The widespread adoption of eye-tracking devices led to increased attention for objectively measuring cognitive load via pupil dilation. However, this approach requires a standardized data processing routine to reliably measure cognitive load. This technical report presents CEP-Web, an open source platform to providing state of the art data processing routines for cleaning pupillary data combined with a graphical user interface, enabling the management of studies and subjects. Future developments will include the support for analyzing the cleaned data as well as support for Task-Evoked Pupillary Response (TEPR) studies

Disease Surveillance Networks Initiative Africa: Final Evaluation

The overall objective of the Foundation's Disease Surveillance Networks (DSN) Initiative is to strengthen technical capacity at the country level for disease surveillance and to bolster response to outbreaks through the sharing of technical information and expertise. It supports formalizing collaboration, information sharing and best practices among established networks as well as trans-national, interdisciplinary and multi-sectoral efforts, and is experienced in developing and fostering innovative partnerships. In order to more effectively address disease threats, the DSN has four key outcome areas:(1) forming and sustaining trans-boundary DSN;(2) strengthening and applying technical and communication skills by local experts and institutions;(3) increasing access and use of improved tools and methods on information sharing, reporting and monitoring; and(4) emphasizing One Health and transdisciplinary approaches to policy and practice at global, regional and local levels