Assessing deoxynivalenol concentration reduction and mass loss in wheat batches using near infrared hyperspectral imaging.

Deoxynivalenol is a mycotoxin which frequently contaminates wheat and its derived products causing a major concern. In this work a previously developed model was inserted into a prototype desktop application for automated prediction of individual wheat kernels as contaminated over or under the maximum set level in the EU. Using 42 batches to test the system it was observed that in batches contaminated over 1 mg/kg the rejected fraction always contained more deoxynivalenol (mean 8.

Accurate consistency-based MSA reducing the memory footprint.

Background And Objective: The emergence of Next-Generation sequencing has created a push for faster and more accurate multiple sequence alignment tools. The growing number of sequences and their longer sizes, which require the use of increased system resources and produce less accurate results, are heavily challenging to these applications. Consistency-based methods have the most intensive CPU and memory usage requirements.

A green strategy for federated and heterogeneous clouds with communicating workloads.

Providers of cloud environments must tackle the challenge of configuring their system to provide maximal performance while minimizing the cost of resources used. However, at the same time, they must guarantee an SLA (service-level agreement) to the users. The SLA is usually associated with a certain level of QoS (quality of service).