A study visit to a vitual company

To integrate study visits to different workplaces in higher education implies important benefits for the course quality. The study visit gives the students a better understanding for the real situations they will meet in working life. However for practical and economical reasons is that not always possible. The purpose of this project is to create a virtual company that shall replace the real one for study visits. The goal is to create a realistic picture and that intended use of it can come as close as possible to a real study visit. It is also important to facilitate linking theory and practice. The virtual company is built up by pictures, videos and text. All material is made available on a web page and when entering the students will meet a layout of the company. From that position is it possible to walk around and look at videos from different workstations. Besides that can they also listen to interviews with managers and representatives of staff as well as reading reports concerning productivity and the work environment. The focus of the study visit is work sciences, therefore the material also include some visualized information about work hazards. On the web page there are also a number of tasks for the students to carry out. Until the autumn 2011, 132 students at Dalarna University have visited and produced reports from the virtual company. They were studying in programs for mechanical engineering, production technicians and human resource management. An evaluation among some ten students showed that the study visit to the virtual company is flexible in time and effective, but that students wish to have even more detailed information about the company. Experiences from four years of use in a number of classes show that the concept is worth further development. Furthermore with production of new material the concept is likely to be applicable for other purposes.

qtl.outbred: Interfacing outbred line cross data with the R/qtl mapping software

Background qtl.outbred is an extendible interface in the statistical environment, R, for combining quantitative trait loci (QTL) mapping tools. It is built as an umbrella package that enables outbred genotype probabilities to be calculated and/or imported into the software package R/qtl. Findings Using qtl.outbred, the genotype probabilities from outbred line cross data can be calculated by interfacing with a new and efficient algorithm developed for analyzing arbitrarily large datasets (included in the package) or imported from other sources such as the web-based tool, GridQTL. Conclusion qtl.outbred will improve the speed for calculating probabilities and the ability to analyse large future datasets. This package enables the user to analyse outbred line cross data accurately, but with similar effort than inbred line cross data.

Development of a molecular test to determine the vitality status of Norway spruce (Picea abies) seedlings during frozen storage

In boreal forest regions, a great portion of forest tree seedlings are stored indoors in late autumn to prevent seedlings from outdoor winter damage. For seedlings to be able to survive in storage it is crucial that they store well and can cope with the dark and cold storage environment. The aim of this study was to search for genes that can determine the vitality status of Norway spruce (Picea abies (L.) Karst.) seedlings during frozen storage. Furthermore, the sensitivity of the ColdNSure (TM) test, a gene activity test that predicts storability was assessed. The storability of seedlings was tested biweekly by evaluating damage with the gene activity test and the electrolyte leakage test after freezing seedlings to -25 A degrees C (the SELdiff-25 method). In parallel, seedlings were frozen stored at -3 A degrees C. According to both methods, seedlings were considered storable from week 41. This also corresponded to the post storage results determined at the end of the storage period. In order to identify vitality indicators, Next Generation Sequencing (NGS) was performed on bud samples collected during storage. Comparing physiological post storage data to gene analysis data revealed numerous vitality related genes. To validate the results, a second trial was performed. In this trial, gene activity was better in predicting seedling storability than the conventional freezing test; this indicates a high sensitivity level of this molecular assay. For multiple indicators a clear switch between damaged and vital seedlings was observed. A collection of indicators will be used in the future development of a commercial vitality test.