Publikasjoner
NIBIOs ansatte publiserer flere hundre vitenskapelige artikler og forskningsrapporter hvert år. Her finner du referanser og lenker til publikasjoner og andre forsknings- og formidlingsaktiviteter. Samlingen oppdateres løpende med både nytt og historisk materiale. For mer informasjon om NIBIOs publikasjoner, besøk NIBIOs bibliotek.
2025
Sammendrag
Interpreting multi-component 1H NMR spectra is difficult due to peak overlap, concentration variability, and low-abundance signals. We cast mixture identification as a single-pass multi-label task. A compact CNN–Transformer (“Hybrid”) model was trained end-to-end on domain-informed and realistically simulated spectra derived from a 13-component flavor library; the model requires no real mixtures for training. On 16 real formulations, the Hybrid attains micro-F1 = 0.990 and exact-match (subset) accuracy = 0.875, outperforming CNN-only and Transformer-only ablations, while remaining efficient (~0.47 M parameters; ~0.68 ms on GPU, V100). The approach supports abstention and shows robustness to simulated outsiders. Although the evaluation set was small, and the macro-ECE (per-class, 15 bins) was inflated by sparse classes (≈0.70), the micro-averaged Brier is low (0.0179), and temperature scaling had negligible effect (T ≈ 1.0), indicating the good overall probability quality. The pipeline is readily extensible to larger libraries and adjacent applications in food authenticity and targeted metabolomics. Classical chemometric baselines trained on simulation failed to transfer to real measurements (subset accuracy 0.00), while the Hybrid model maintained strong performance.
Forfattere
Annbjørg KristoffersenSammendrag
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Forfattere
Annbjørg KristoffersenSammendrag
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Forfattere
Jostein Beseth NordeideSammendrag
In this study, the modulus of resilience, modulus of elasticity and density of structural timber from Norway Spruce (Picea Abies) from Nordland in Norway were studied. The main objectives were to assess whether structural timber from Nordland meets the requirements specified in the Norwegian standard NS-EN 338 when graded by using visual grading according to the Norwegian standard NS-INSTA 142, and to examine the variations. Timber was collected from 45 trees from five stands in Nordland. The logs were sawn into 411 planks, which were visually strength-graded in accordance with Norwegian standard NS-INSTA 142, and density, modulus of elasticity and modulus of resilience were tested following the standard EN 408. The test results were adjusted in accordance with Norwegian standard NS-EN 384, and characteristic values were calculated in accordance with Norwegian standard NS-EN 14358. The study found that sorting class T1 meets the requirements for strength class C18, sorting class T2 meets the requirements for C24, and class “T2 and better” meets the requirements for C24. However, spruce graded as T3 did not meet the requirements for C30 given in Norwegian standard NS-EN 338. Statistical models were developed, showing that visual and position- related variables such as knot diameter, relative height within the tree and annual ring width can explain the mechanical properties. Some of the models use forest-, tree-, and log-specific variables, requiring traceability of timber from forest to sawmill for these models to be implemented in sorting at the sawmill. The average values for density, modulus of elasticity and modulus of resilience in this study were lower than those found in studies of spruce from southern Norway. Nevertheless, the spruce from this study meets the requirements up to and including strength class C24 when visually strength-graded according to Norwegian standard NS-INSTA 142, approving a potential for using spruce from Nordland as structural timber.
Forfattere
Ivan M De-la-Cruz Femke Batsleer Dries Bonte Carolina Diller José Luis Izquierdo Sonja Still Sonia Osorio David Posé Aurora de la Rosa Martijn L. Vandegehuchte Anne Muola Timo Hytönen Johan A StenbergSammendrag
Climate change creates novel environmental conditions that plant species must adapt to. Since plants are finely tuned to the seasonality of their environments, shifts in their phenology serve as some of the most compelling evidence of climate change’s impact. Understanding how key fitness-related phenological traits, such as flowering onset, respond to novel environments is crucial for assessing species’ plasticity and/or adaptive potential under climate change. Here, we investigated the onset of flowering in Fragaria vesca (woodland strawberry; Rosaceae) by translocating genotypes between four sites along a south–north gradient in Europe, encompassing its entire latitudinal distribution range with varying temperatures, precipitation patterns, and photoperiods. At each site, we included a reduced precipitation treatment using rainout shelters to simulate drought conditions and assess their impact on flowering onset. Our findings revealed that southern and central European genotypes exhibited a delayed onset of flowering when translocated to the northernmost site. In contrast, no difference among genotypes was found in the onset of flowering when grown in more southerly sites. Reduced precipitation accelerated flowering across several sites and all genotypes, irrespective of their latitudinal origin. Overall, northern European genotypes showed a greater capacity to adjust their onset of flowering in response to the different photoperiods and temperatures across the latitudinal gradient compared to southern European genotypes, suggesting that they may be more resilient to shifting environmental conditions. Differences in phenotypic plasticity among genotypes translocated to higher versus lower latitudes highlight the role of photoperiod in evaluating a species’ capacity to cope with climate change.
Sammendrag
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Sammendrag
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Sammendrag
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Sammendrag
Climate change and human activities are prone to cause the shrinkage of lakes and soil salinization in arid areas, thereby affecting regional ecological security. Biodiversity conservation and ecological restoration in shrinking lake areas have attracted more attention. We have investigated the changes in soil organic carbon (SOC) content and microbial community diversity under different vegetation restoration measures, such as the species of Carex, Salicornia, Tamarisk, reed, and grass restoration in the lakeshore of Dalinor lake in Inner Mongolia. Results showed that the soil pH and water-soluble salt content are relatively high in the Carex and Salicornia restoration areas compared to the bare land, and the changes in SOC and TN content are not significant. Still, the contents of AP (available phosphorus) and AK (available potassium) are significantly increased. For the Tamarisk, reed, and grass restoration areas, the level of soil salinization has significantly decreased. At the same time, the contents of SOC and TN are increased by 23.1% and 116.2% compared with the bare land, respectively. With the different vegetation restoration measures, soil microbial biomass carbon (MBC) content was, on average, 62.4% higher than that of bare land. The high-throughput sequencing data showed that different vegetation restoration measures have significantly changed the composition of soil bacterial communities, the alpha diversity indices of Chao1 and Shannon increased by 73.6% and 19.7%, respectively, and the abundance of microbial species related to soil carbon and nitrogen cycling also showed an enrichment trend. Taken together, our study, built on the joint efforts of Chinese and Norwegian partners, has provided valuable information for the future adaptive management of climate change risks and biodiversity conservation related to the shrinkage of lakes in arid areas.
Forfattere
Fride Høistad ScheiSammendrag
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