89 research outputs found

    At What Scales and Why Does Forest Structure Vary in Naturally Dynamic Boreal Forests? An Analysis of Forest Landscapes on Two Continents

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    Identifying the scales of variation in forest structures and the underlying processes are fundamental for understanding forest dynamics. Here, we studied these scale-dependencies in forest structure in naturally dynamic boreal forests on two continents. We identified the spatial scales at which forest structures varied, and analyzed how the scales of variation and the underlying drivers differed among the regions and at particular scales. We studied three 2kmx2km landscapes in northeastern Finland and two in eastern Canada. We estimated canopy cover in contiguous 0.1-ha cells from aerial photographs and used scale-derivative analysis to identify characteristic scales of variation in the canopy cover data. We analyzed the patterns of variation at these scales using Bayesian scale space analysis. We identified structural variation at three spatial scales in each landscape. Among landscapes, the largest scale of variation showed the greatest variability (20.1-321.4ha), related to topography, soil variability, and long-term disturbance history. Superimposed on this large-scale variation, forest structure varied at similar scales (1.3-2.8ha) in all landscapes. This variation correlated with recent disturbances, soil variability, and topographic position. We also detected intense variation at the smallest scale analyzed (0.1ha, grain of our data), partly driven by recent disturbances. The distinct scales of variation indicated hierarchical structure in the landscapes studied. Except for the large-scale variation, these scales were remarkably similar among the landscapes. This suggests that boreal forests may display characteristic scales of variation that occur somewhat independent of the tree species characteristics or the disturbance regime.Peer reviewe

    The structure of boreal old-growth forests changes at multiple spatial scales over decades

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    Context: Changes in the structure of boreal old-growth forests are typically studied at a specific spatial scale. Consequently, little is known about forest development across different spatial scales. Objectives: We investigated how and at what spatial scales forest structure changed over several decades in three 4 km² boreal old-growth forests landscapes in northeastern Finland and two in Quebec, Canada. Methods: We used canopy cover values visually interpreted to 0.1-ha grid cells from aerial photographs taken at three time points between the years 1959 and 2011, and error distributions quantified for the interpretation. We identified the spatial scales at which canopy cover changed between the time points, and examined the credibility of changes at these scales using the error distributions in Bayesian inference. Results: Canopy cover changed at three to four spatial scales, the number of scales depending on the studied landscape and time interval. At large scales (15.4–321.7 ha), canopy cover increased in Finland during all time intervals. In Quebec, the direction of the large-scale change varied between the studied time intervals, owing to the occurrence of an insect outbreak and a consequent recovery. However, parts of these landscapes also showed canopy cover increase. Superimposed on the large-scale developments, canopy cover changed variably at smaller scales (1.3–2.8-ha and 0.1-ha). Conclusions: Our findings support the idea that the structure of boreal old-growth forests changes at discernible spatial scales. Instead of being driven by gap dynamics, the old-growth forests in the studied regions are currently reacting to large-scale drivers by an increase in canopy cover.Peer reviewe

    Strategies for improving medication safety in hospitals: Evolution of clinical pharmacy services

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    Background Medication safety risks are the most important preventable factors jeopardizing patient safety. To manage these risks, extending pharmacists’ involvement in patient care and patient safety work has been systematically addressed in patient safety initiatives since the early 2000s. Objective To explore the extent and range of clinical pharmacy services in Finnish hospitals to promote medication safety: 1) in 2011, when the first National Patient Safety Strategy, the new Health Care Act and the Medicines Policy 2020 had been recently enacted; and 2) five years later in 2016. Methods The study was conducted in 2011 and 2016 as a national online survey targeted to hospital pharmacies (n = 24) and medical dispensaries (n = 131 in 2011; n = 28 in 2016). The questions were analyzed using descriptive statistics and qualitative content analysis. Results Overall response rate was 60% in 2011 and 52% in 2016. Clinical pharmacy services were provided by 51% of the responding units in 2011, whereas by 85% in 2016. The reported number of clinical pharmacists had increased during the five years. The most notable increase in reported tasks occurred in conducting medication reconciliations (+63% increase in the number of providing units). By 2016 pharmacists had extended their tasks particularly towards system-based medication safety work: e.g. developing instructions for medication-use (91% of the responding units), creating and updating medication safety plans (87%) and using medication error reports in developing the process of medication use safer (78%). Pharmacists’ participation in long-term continuing education became more common in 2016, which was perceived as helpful in extending their responsibilities to improve medication safety. Conclusion Pharmacists’ involvement in patient care and system-based medication safety work was reported to become more common in Finnish hospitals during 2011–2016. This development is in line with patient safety policy initiatives and its impact on patient care outcomes should be followed up.Peer reviewe

    Monitoramento da toxicidade genética associada aos dejetos industriais e urbanos em amostras de água do rio Caí através do Teste SMART

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    O rio Caí é utilizado como corpo hídrico recipiente de efluentes industriais e urbanos. Em função disto,foi utilizado o teste SMART para traçar um diagnóstico da genotoxicidade associada a este rio. As coletasforam realizadas nos meses de março, junho e setembro de 1999 em pontos sob influência industrial(km18,6 e km13,6) e urbana (km52, km78 e km80). Os pontos km 18,6 e km 13,6 foram caracterizadoscomo destituídos de ação genotóxica. Por outro lado, as amostras urbanas referentes aos meses de março(km 52, 78 e 80) e setembro (km 52) foram diagnosticadas como indutoras de toxicidade genética.Considerando estes resultados, conclui-se que os prejuízos causados pelos dejetos urbanos podem ser tãoou mais nocivos que os impostos pelos de origem industrial.Palavras-chaves: SMART, Genotoxicidade, Água, D. melanogaster

    Therapeutic cancer vaccination against mutant calreticulin in myeloproliferative neoplasms induces expansion of specific T cells in the periphery but specific T cells fail to enrich in the bone marrow

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    BackgroundTherapeutic cancer vaccination against mutant calreticulin (CALR) in patients with CALR-mutant (CALRmut) myeloproliferative neoplasms (MPN) induces strong T-cell responses against mutant CALR yet fails to demonstrate clinical activity. Infiltration of tumor specific T cells into the tumor microenvironment is needed to attain a clinical response to therapeutic cancer vaccination.AimDetermine if CALRmut specific T cells isolated from vaccinated patients enrich in the bone marrow upon completion of vaccination and explore possible explanations for the lack of enrichment.MethodsCALRmut specific T cells from four of ten vaccinated patients were expanded, enriched, and analyzed by T-cell receptor sequencing (TCRSeq). The TCRs identified were used as fingerprints of CALRmut specific T cells. Bone marrow aspirations from the four patients were acquired at baseline and at the end of trial. T cells were enriched from the bone marrow aspirations and analyzed by TCRSeq to identify the presence and fraction of CALRmut specific T cells at the two different time points. In silico calculations were performed to calculate the ratio between transformed cells and effector cells in patients with CALRmut MPN.ResultsThe fraction of CALRmut specific T cells in the bone marrow did not increase upon completion of the vaccination trial. In general, the T cell repertoire in the bone marrow remains relatively constant through the vaccination trial. The enriched and expanded CALRmut specific T cells recognize peripheral blood autologous CALRmut cells. In silico analyses demonstrate a high imbalance in the fraction of CALRmut cells and CALRmut specific effector T-cells in peripheral blood.ConclusionCALRmut specific T cells do not enrich in the bone marrow after therapeutic cancer peptide vaccination against mutant CALR. The specific T cells recognize autologous peripheral blood derived CALRmut cells. In silico analyses demonstrate a high imbalance between the number of transformed cells and CALRmut specific effector T-cells in the periphery. We suggest that the high burden of transformed cells in the periphery compared to the number of effector cells could impact the ability of specific T cells to enrich in the bone marrow

    Family-based clusters of cognitive test performance in familial schizophrenia

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    BACKGROUND: Cognitive traits derived from neuropsychological test data are considered to be potential endophenotypes of schizophrenia. Previously, these traits have been found to form a valid basis for clustering samples of schizophrenia patients into homogeneous subgroups. We set out to identify such clusters, but apart from previous studies, we included both schizophrenia patients and family members into the cluster analysis. The aim of the study was to detect family clusters with similar cognitive test performance. METHODS: Test scores from 54 randomly selected families comprising at least two siblings with schizophrenia spectrum disorders, and at least two unaffected family members were included in a complete-linkage cluster analysis with interactive data visualization. RESULTS: A well-performing, an impaired, and an intermediate family cluster emerged from the analysis. While the neuropsychological test scores differed significantly between the clusters, only minor differences were observed in the clinical variables. CONCLUSIONS: The visually aided clustering algorithm was successful in identifying family clusters comprising both schizophrenia patients and their relatives. The present classification method may serve as a basis for selecting phenotypically more homogeneous groups of families in subsequent genetic analyses

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    The Accuracy and the Computational Complexity of a Multivariate Binned Kernel Density Estimator

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    The computational cost of multivariate kernel density estimation can be reduced by prebinning the data. The data are discretized to a grid and a weighted kernel estimator is computed. We report results on the accuracy of such a binned kernel estimator and discuss the computational complexity of the estimator as measured by its average number of nonzero terms.Kernel density estimation, binning, estimation error, computational complexity
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