How English language literature is taught in the Norwegian upper secondary school

Mastergradsoppgave i kultur- og språkfagenes didaktikk, fordypning i engelsk. Avdeling for lærerutdanning og naturvitenskap, Høgskolen i Hedmark, 2010Norsk: Dette prosjektet forsøker å finne ut hvordan engelskspråklig litteratur brukes i norsk videregående skole. Dataene er samlet i form av intervjuer med dem som står midt i dette arbeidet – engelsklærerne, og i form av analyser av offentlige dokumenter og lærebøker. Oppgaven konkluderer med at engelskspråklig litteratur først og fremst brukes som et hjelpemiddel i engelskundervisningen. Læreplanen anerkjenner viktigheten av litteratur, men litteraturens hovedfunksjon er å gi elevene eksempler på engelsk språkbruk, og å gi dem kunnskap om kulturen og livet i den engelskspråklige verden. Litteratur er ikke engelskfagets innhold, selv om det er en vesentlig bestanddel som har blitt viktigere i Kunnskapsløftet, sammenliknet med den forrige læreplanen. Kommunikativ kompetanse og kulturell bevissthet er hovedmålene for faget. Litterær kompetanse er noe elevene kan oppnå gjennom å eksponeres for litterære tekster, men det er ikke et krav.English: This project attempts to investigate how English language literature is used in Norwegian upper secondary school. Data were gathered from interviews with those who are faced with the task of carrying out the job – the English teachers, and from an analysis of official documents and textbooks. The report concludes that English language literature is viewed first and foremost as an aid in the teaching of English. The curriculum acknowledges the importance of literature, but its main function is to give students examples of English in use and to give them ideas about culture and the way of life in the English-speaking world. Literature does not constitute the content of the course, although it is an integral part which has gained more importance in the Knowledge Promotion, compared to the previous curriculum. Communicative competence and cultural awareness are the main aims of the course. Literary competence is something which students can acquire from being exposed to literary texts, but which is not obligatory

Clinical markers for unfavorable course of multiple sclerosis

Objective. To study possible clinical markers associated with the unfavorable course of multiple sclerosis and its transition to a progressive subtype. Materials and methods. This prospective study included healthy volunteers and patients with relapsing-remitting multiple sclerosis (RRMS), secondary progressive multiple sclerosis (SPMS), primary progressive multiple sclerosis (PPMS). For a comprehensive clinical evaluation, the participants completed the Timed 25-Foot Walk Test (T25-FW), Nine-Hole Peg Test (9-HPT), Symbol Digit Modalities Test (SDMT), Fatigue test, and MSProDiscuss questionnaires. Then we compared the results between the groups. Results. We found significant differences between the groups in regard to most of the tests. Furthermore, we proposed a composite clinical score (CCS) based on T25-FW, SDMT, and 9-HPT results (for both hands). Discussion. Our CCS can be a useful clinical tool to determine the most likely course of multiple sclerosis at a certain timepoint

Crowdsourced mapping of unexplored target space of kinase inhibitors

Despite decades of intensive search for compounds that modulate the activity of particular protein targets, a large proportion of the human kinome remains as yet undrugged. Effective approaches are therefore required to map the massive space of unexplored compound-kinase interactions for novel and potent activities. Here, we carry out a crowdsourced benchmarking of predictive algorithms for kinase inhibitor potencies across multiple kinase families tested on unpublished bioactivity data. We find the top-performing predictions are based on various models, including kernel learning, gradient boosting and deep learning, and their ensemble leads to a predictive accuracy exceeding that of single-dose kinase activity assays. We design experiments based on the model predictions and identify unexpected activities even for under-studied kinases, thereby accelerating experimental mapping efforts. The open-source prediction algorithms together with the bioactivities between 95 compounds and 295 kinases provide a resource for benchmarking prediction algorithms and for extending the druggable kinome. The IDG-DREAM Challenge carried out crowdsourced benchmarking of predictive algorithms for kinase inhibitor activities on unpublished data. This study provides a resource to compare emerging algorithms and prioritize new kinase activities to accelerate drug discovery and repurposing efforts.</p

Crowdsourced mapping of unexplored target space of kinase inhibitors

Despite decades of intensive search for compounds that modulate the activity of particular protein targets, a large proportion of the human kinome remains as yet undrugged. Effective approaches are therefore required to map the massive space of unexplored compound-kinase interactions for novel and potent activities. Here, we carry out a crowdsourced benchmarking of predictive algorithms for kinase inhibitor potencies across multiple kinase families tested on unpublished bioactivity data. We find the top-performing predictions are based on various models, including kernel learning, gradient boosting and deep learning, and their ensemble leads to a predictive accuracy exceeding that of single-dose kinase activity assays. We design experiments based on the model predictions and identify unexpected activities even for under-studied kinases, thereby accelerating experimental mapping efforts. The open-source prediction algorithms together with the bioactivities between 95 compounds and 295 kinases provide a resource for benchmarking prediction algorithms and for extending the druggable kinome. The IDG-DREAM Challenge carried out crowdsourced benchmarking of predictive algorithms for kinase inhibitor activities on unpublished data. This study provides a resource to compare emerging algorithms and prioritize new kinase activities to accelerate drug discovery and repurposing efforts

Crowdsourced mapping of unexplored target space of kinase inhibitors

Despite decades of intensive search for compounds that modulate the activity of particular protein targets, a large proportion of the human kinome remains as yet undrugged. Effective approaches are therefore required to map the massive space of unexplored compound–kinase interactions for novel and potent activities. Here, we carry out a crowdsourced benchmarking of predictive algorithms for kinase inhibitor potencies across multiple kinase families tested on unpublished bioactivity data. We find the top-performing predictions are based on various models, including kernel learning, gradient boosting and deep learning, and their ensemble leads to a predictive accuracy exceeding that of single-dose kinase activity assays. We design experiments based on the model predictions and identify unexpected activities even for under-studied kinases, thereby accelerating experimental mapping efforts. The open-source prediction algorithms together with the bioactivities between 95 compounds and 295 kinases provide a resource for benchmarking prediction algorithms and for extending the druggable kinome

How English language literature is taught in the Norwegian upper secondary school

Norsk: Dette prosjektet forsøker å finne ut hvordan engelskspråklig litteratur brukes i norsk videregående skole. Dataene er samlet i form av intervjuer med dem som står midt i dette arbeidet – engelsklærerne, og i form av analyser av offentlige dokumenter og lærebøker. Oppgaven konkluderer med at engelskspråklig litteratur først og fremst brukes som et hjelpemiddel i engelskundervisningen. Læreplanen anerkjenner viktigheten av litteratur, men litteraturens hovedfunksjon er å gi elevene eksempler på engelsk språkbruk, og å gi dem kunnskap om kulturen og livet i den engelskspråklige verden. Litteratur er ikke engelskfagets innhold, selv om det er en vesentlig bestanddel som har blitt viktigere i Kunnskapsløftet, sammenliknet med den forrige læreplanen. Kommunikativ kompetanse og kulturell bevissthet er hovedmålene for faget. Litterær kompetanse er noe elevene kan oppnå gjennom å eksponeres for litterære tekster, men det er ikke et krav