Ticks are on the rise and transmit several infectious diseases, leading to serious illness or even death. The smartphone App “Zecke–Tick Prevention helps people, to remember the tick bite location and to check it for potential Lyme disease symptoms. In an interdisciplinary approach, ZHAW-scientists want to find out ...

The goal of this project is the development of a model that calculates the environmental impacts of food systems. This is important to evaluate measures that reduce the resource consumption of food systems and avoid food waste. Through various user interfaces with different levels of complexity the model can be ...

REFRACT is an international consortium aiming to extend our knowledge on the mechanism of tandem repeat protein (TRP) function and evolution, establishing a common classification and best practices. Starting from available state of the art computational tools and databases, it aims to drive a new level of TRP ...

The discovery of synonymous codon usage bias (CUB) –the unequal use of codons that code for the same amino-acid– has strengthened the notion that synonymous mutations can alter the fitness of organisms. Synonymous or silent mutations are mutations in DNA that do not alter the encoded amino acid sequence. Since CUB ...

Thanks to a native app, the learning opportunities offered by plant knowledge on the Grüental campus are to be optimised, made more attractive and expanded further. The app should be user-friendly and contain at least the following functions: Finding plants or leading intelligent activities on site Filter by ...

We are developing an agricultural risk decision assistant based on a unique model that can assess and visualize reliable weather and seasonal climate forecasts, soil data, and crop growth forecasts. Based on real-time and historical weather, climate, soil and crop data and novel learning algorithms, the system ...

Goal of the project is a feasibility study to evaluate the potential of diverse AI techniques for opimising plant breeding on the basis of morphological characteristics.

Three-dimensional imagination is highly relevant for understanding the fundamentals of chemistry at university level. Especially when drawing molecular structures, it is important that students are able to imagine molecules/salts with the right geometry, so that the correct functioning in ...

Researchers from the School of Life Sciences and Facility Management (LSFM) initiated a platform to promote interdisciplinary research in the field of health. The School of LSFM supports this initiative to increase visibility of all health-research related activities in teaching, R&D, continued education, and ...

Longitudinal study on the compensation of specialists and executives in the Facility Management market in Switzerland, as well as their influencing factors on behalf of the industry association fmpro.  It is designed as a quantitatively online survey for the targeted 1,000 participants in the form of a multi-factor ...

The aim of the project is to create a simulation module in the BioDynaMo framework for three-dimensional modeling of the structural development of a part of the human cortex. The implementation is based on an existing model. This project serves an initial contribution to the BioDynaMo consortium.    ...

Longitudinal study in all three national languages on the wages of university graduates in Switzerland, primarily the graduates form the Universities of Applied Sciences.  It is based on a quantitatively online survey with about 10,000 participants, designed as a a multi-factor analysis, which is based on a survey ...

Escape Rooms and Outdoor Missions are booming: Electronic scavenger hunts, foxtrails, geocaching, or mobile phone trails are a popular leisure activity among young families or young people. Our new "Eco Missions" offer is designed to do justice to these new leisure activities. In an eco mission, the various aspects ...

High throughput sequencing technologies have permitted a wide range of scientists to observe an astonishing molecular diversity across all domains of life. Since all observed molecular sequences area result of a long evolutionary history, most informative inferences can be made only when analysing genomic sequences ...

In essentially all applied sciences, data-driven modeling heavily relies on a sound calibration of model parameters to measured data for making probabilistic predictions. Bayesian statistics is a consistent framework for parameter inference where knowledge about model parameters is expressed through probability ...

The simulation and optimization is predestined for high performance computing (HPC). Many computing operations are necessary and huge amounts of data are being generated. The requirements have also increased in recent years as the models become more complex. In addition, simulation-based optimization needs a large ...

Safety and quality prediction are topical issues in food industry. We are developing a novel IoT approach in the framework of a collaboration with Genossenschaft Migros Zürich (GMZ), ZHAW (represented by the institutes IAS and ILGI) and Axino Solutions AG. The main goal of the project is to provide a robust, ...

The tried and tested forest edge key (Krüsi et al. 2017) is suitable for recording the initial condition and later monitoring the success of forest edge enhancements, as it provides reproducible results and is easy to use (Fuhrer et al. submitted). For this reason, this forest edge key is to be further developed ...