Sökning: "Jonas Blomberg"
Visar resultat 1 - 5 av 15 avhandlingar innehållade orden Jonas Blomberg.
1. Compression mechanisms and strength properties of semi- isostatically densified wood
Sammanfattning : Since most strength properties increase with increased wood density, densifying wood through compression will increase strength and wear resistance. After densification, wood with originally low density can substitute denser wood and originally dense wood can be used for purposes where wood is considered too soft, e.g. LÄS MER
2. Mechanical and physical properties of semi-isostatically densified wood
Sammanfattning : When wood is densified through semi-isostatical compression in a Quintus- press at pressures up to 140 MPa, the material properties change. The cells are flattened, size is decreased and shape is changed, as a consequence of this the density is increased. Most properties of native woods are strongly correlated to the density. LÄS MER
3. Informell Statistisk Inferens i modelleringssituationer : En studie om utveckling av ett ramverk för att analysera hur elever uttrycker inferenser
Sammanfattning : Syftet med denna studie är att bidra med ökad kunskap om lärande och undervisning i informell statistisk inferens. I studien användes en kvalitativ forskningsstrategi inriktad mot prövning och generering av teorier med inspiration av grounded theory. LÄS MER
4. PCR detection of Streptococcus pneumoniae and Haemophilus influenzae in pneumonia patients
Sammanfattning : PCR is a rapid, reproducible method for nucleic acid detection. However, this technology displays significant deficiencies when applied in clinical microbiology. This work’s aim was to improve current diagnostics and provide sensitive and quantitative real-time PCRs. LÄS MER
5. Retroviral long Terminal Repeats; Structure, Detection and Phylogeny
Sammanfattning : Long terminal repeats (LTRs) are non-coding repeats flanking the protein-coding genes of LTR retrotransposons. The variability of LTRs poses a challenge in studying them. Hidden Markov models (HMMs), probabilistic models widely used in pattern recognition, are useful in dealing with this variability. LÄS MER