203 research outputs found
Perception, history, and science: coherence or disparity in the timing of the Little Ice Age maximum in southeast Iceland?
Belonging and participation as portrayed in the curriculum guidelines of five European countries
This study seeks to explore how the belonging and participation, as well as its related concepts, are framed in the national curriculum guidelines of the Netherlands, Finland, Iceland, Norway, and Sweden. We employed a scoping study with concept-mapping methodology. The results reveal macro level principles related to human rights and values, multiliteracy and language, policy measures and ideologies. Meso level principles stressed that education is supposed to guarantee a child’s overall development and skills acquisition, participation involvement in the activities related to a child’s environment and cultural heritage. The micro level principles were indicative of the need for inclusive and accessible physical and social environments, along with teaching methods which foster positive attitudes about diversity and teachers’ expertise levels to address diversity. We also found the importance of designing opportunities that encourage socializing, building relationships, and belongingness. Additionally, the results show how frequently the chosen key concepts are represented in the guidelines. Based on our study we can conclude that curriculum guidelines do not provide sufficent frameworks for promoting children’s belonging and participation. Further exploration on those concepts is needed, along with increased scholarly attention within the spheres of ECEC and compulsory education practice to enable inclusion for all children.publishedVersio
Extending cognitive-behavioural theory and therapy to medically unexplained symptoms and long term conditions:a hybrid transdiagnostic/problem specific approach
Medically Unexplained Symptoms (MUS) are not only common and distressing, but also are typically poorly managed in general medical settings. Those suffering from these problems tend to incur significantly higher health costs than the general population. There are many effective treatments for different MUS; these are almost entirely based on Cognitive-behavioural approaches. However, the wide range of treatment protocols tend to be “syndrome specific”. As such, they do not generalise well in terms of training and application, making them expensive and difficult to disseminate, suggesting the desirability of developing a transdiagnostic approach. The general basis of such a CBT grounded transdiagnostic approach is considered, and the particular need to incorporate cognitive elements of both anxiety/health anxiety (threat) and depression (loss) is highlighted. Key empirically grounded and evidence based processes (both specific and general) previously identified as underpinning the maintenance of MUS are delineated. The way in which these can be combined in a transdiagnostic model which accounts for most MUS presentations is presented and linked to a formulation driven transdiagnostic treatment strategy, which is described. However, the need to take more syndrome-specific issues into account in treatment is identified, suggesting that the optimum treatment may be a hybrid transdiagnostic/specific approach with formulation, shared understanding, belief change strategies and behavioural experiments at its heart. The generalisation of such approaches to psychological problems occurring in the context of “Long Term Conditions” is identified as a further important development which is now within reach
Intracellular Fas ligand in normal and malignant breast epithelium does not induce apoptosis in Fas-sensitive cells
Fas ligand (FasL) is expressed on some cancers and may play a role in the immune evasion of the tumour. We used immuno-histochemistry to study the expression of Fas and FasL in tissue samples from breast cancer patients, as well as normal breast tissue. Our results show that Fas and FasL are co-expressed both in normal tissue and in breast tumours. Fas and FasL mRNA were expressed in fresh normal and malignant breast tissue, as well as cultured breast epithelium and breast cancer cell lines. Flow cytometry analysis of live cells failed to detect FasL on the surface of normal or malignant breast cells; however, both stained positive for FasL after permeabilization. Fas was detected on the surface of normal breast cells and T47D and MCF-10A cell lines but only intracellularly in other breast cell lines tested. Neither normal breast epithelium nor breast cell lines induced Fas-dependent apoptosis in Jurkat cells. Finally, 20 tumour samples were stained for apoptosis. Few apoptotic cells were detected and there was no increase in apoptotic cells on the borders between tumour cells and lymphocytes. We conclude that FasL is expressed intracellularly in both normal and malignant breast epithelium and unlikely to be important for the immune evasion of breast tumours. © 2000 Cancer Research Campaign http://www.bjcancer.co
Multivariate Analysis of Variance: Finding significant growth in mice with craniofacial dysmorphology caused by the Crouzon mutation
Towards inclusive funding practices for early career researchers
Securing research funding is a challenge faced by most scientists in academic institutions worldwide. Funding success rates for all career stages are low, but the burden falls most heavily on early career researchers (ECRs). These are young investigators in training and new principal investigators who have a shorter track record. ECRs are dependent on funding to establish their academic careers. The low number of career development awards and the lack of sustained research funding result in the loss of ECR talent in academia. Several steps in the current funding process, from grant conditions to review, play significant roles in the distribution of funds. Furthermore, there is an imbalance where certain research disciplines and labs of influential researchers receive more funding. As a group of ECRs with global representation, we examined funding practices, barriers, and facilitators to the current funding systems. We also identified alternatives to the most common funding distribution practices, such as diversifying risk or awarding grants on a partly random basis. Here, we detail recommendations for funding agencies and grant reviewers to improve ECR funding prospects worldwide and promote a fairer and more inclusive funding landscape for ECRs.Instituto de VirologíaFil: de Winde, Charlotte M. University College London. MRC Laboratory for Molecular Cell Biology; Reino UnidoFil: de Winde, Charlotte M. Amsterdam University Medical Center. Department of Molecular Cell Biology & Immunology; Países BajosFil: Sarabipour, Sarvenaz. Johns Hopkins University. Department of Biomedical Engineering. Institute for Computational Medicine; Estados UnidosFil: Carignano, Hugo Adrian. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Virología e Innovaciones Tecnológicas; ArgentinaFil: Davla, Sejal. City University of New York. Advanced Science Research Center; Estados UnidosFil: Eccles, David. Malaghan Institute of Medical Research; Nueva ZelandaFil: Hainer, Sarah J. University of Pittsburgh. Department of Biological Sciences; Estados UnidosFil: Haidar, Mansour. Hasselt University; BélgicaFil: Ilangovan, Vinodh. Aarhus University; DinamarcaFil: Jadavji, Nafisa M. Midwestern University. Department of Biomedical Sciences; Estados UnidosFil: Jadavji, Nafisa M. Carleton University. Department of Neuroscience; CanadáFil: Kritsiligkou, Paraskevi. German Cancer Research Center; AlemaniaFil: Lee, Tai-Ying. University of Oxford; Reino UnidoFil: Ólafsdóttir, H. Freyja. Radboud University. Donders Institute for Brain, Cognition and Behaviour; Países Bajo
Modeling Historic Rangeland Management and Grazing Pressures in Landscapes of Settlement
Defining historic grazing pressures and rangeland management is vital if early landscape threshold crossing and long–term trajectories of landscape change are to be properly understood. In this paper we use a new environmental simulation model, Búmodel, to assess two contrasting historical grazing landscapes in Mývatnssveit Iceland for two key periods—the colonization period (ca. Landnám, A.D. 872–1000) and the early eighteenth century A.D. Results suggest that there were spatial and temporal variations in productivity and grazing pressure within and between historic grazing areas and indicate that land degradation was not an inevitable consequence of the livestock grazing introduced with settlement. The results also demonstrate the significance of grazing and livestock management strategies in preventing overgrazing, particularly under cooler climatic conditions. The model enables detailed consideration of historic grazing management scenarios and their associated landscape pressures
Prediction-Coherent LSTM-based Recurrent Neural Network for Safer Glucose Predictions in Diabetic People
In the context of time-series forecasting, we propose a LSTM-based recurrent
neural network architecture and loss function that enhance the stability of the
predictions. In particular, the loss function penalizes the model, not only on
the prediction error (mean-squared error), but also on the predicted variation
error.
We apply this idea to the prediction of future glucose values in diabetes,
which is a delicate task as unstable predictions can leave the patient in doubt
and make him/her take the wrong action, threatening his/her life. The study is
conducted on type 1 and type 2 diabetic people, with a focus on predictions
made 30-minutes ahead of time.
First, we confirm the superiority, in the context of glucose prediction, of
the LSTM model by comparing it to other state-of-the-art models (Extreme
Learning Machine, Gaussian Process regressor, Support Vector Regressor).
Then, we show the importance of making stable predictions by smoothing the
predictions made by the models, resulting in an overall improvement of the
clinical acceptability of the models at the cost in a slight loss in prediction
accuracy.
Finally, we show that the proposed approach, outperforms all baseline
results. More precisely, it trades a loss of 4.3\% in the prediction accuracy
for an improvement of the clinical acceptability of 27.1\%. When compared to
the moving average post-processing method, we show that the trade-off is more
efficient with our approach
Glyphosate and AMPA in human urine of HBM4EU-aligned studies: part B adults
Within HBM4EU, human biomonitoring (HBM) studies measuring glyphosate (Gly) and aminomethylphosphonic acid (AMPA) in urine samples from the general adult population were aligned and quality-controlled/assured. Data from four studies (ESB Germany (2015-2020); Swiss HBM4EU study (2020); DIET-HBM Iceland (2019-2020); ESTEBAN France (2014-2016)) were included representing Northern and Western Europe. Overall, median values were below the reported quantification limits (LOQs) (0.05-0.1 microg/L). The 95th percentiles (P95) ranged between 0.24 and 0.37 microg/L urine for Gly and between 0.21 and 0.38 microg/L for AMPA. Lower values were observed in adults compared to children. Indications exist for autonomous sources of AMPA in the environment. As for children, reversed dosimetry calculations based on HBM data in adults did not lead to exceedances of the ADI (proposed acceptable daily intake of EFSA for Gly 0.1 mg/kg bw/day based on histopathological findings in the salivary gland of rats) indicating no human health risks in the studied populations at the moment. However, the controversy on carcinogenicity, potential endocrine effects and the absence of a group ADI for Gly and AMPA induce uncertainty to the risk assessment. Exposure determinant analysis showed few significant associations. More data on specific subgroups, such as those occupationally exposed or living close to agricultural fields or with certain consumption patterns (vegetarian, vegan, organic food, high cereal consumer), are needed to evaluate major exposure sources
Extending cognitive-behavioural theory and therapy to medically unexplained symptoms and long term conditions:a hybrid transdiagnostic/problem specific approach
Medically unexplained symptoms (MUS) are not only common and distressing, but are also typically poorly managed in general medical settings. Those suffering from these problems tend to incur significantly higher health costs than the general population. There are many effective treatments for different MUS; these are almost entirely based on cognitive-behavioural approaches. However, the wide range of treatment protocols tend to be ‘syndrome specific’. As such, they do not generalise well in terms of training and application, making them expensive and difficult to disseminate, suggesting the desirability of developing a transdiagnostic approach. The general basis of such a CBT grounded transdiagnostic approach is considered, and the particular need to incorporate cognitive elements of both anxiety or health anxiety (threat) and depression (loss) is highlighted. Key empirically grounded and evidence-based processes (both specific and general) previously identified as underpinning the maintenance of MUS are delineated. The way in which these can be combined in a transdiagnostic model that accounts for most MUS presentations is presented and linked to a formulation-driven transdiagnostic treatment strategy, which is described. However, the need to take more syndrome-specific issues into account in treatment is identified, suggesting that the optimum treatment may be a hybrid transdiagnostic/specific approach with formulation, shared understanding, belief change strategies, and behavioural experiments at its heart. The generalisation of such approaches to psychological problems occurring in the context of ‘long-term conditions’ is identified as a further important development that is now within reach
- …