3,430 research outputs found
Håkon V Magnusson : en glemt helgen?
No full textTidligere forskning har stort sett antatt at det var Håkon V selv som la grunnlaget for sitt ry som helgen ved å gi store gaver til Mariakirken,og ved å bestemme i sitt testamente at hans årtid skulle feires med bespisning og gaver til de fattige. De har da trukket den konklusjon at kannikene ved kirken har klart å skaffe seg en lokal helgen. Jeg mener dette ikke er nok til å skape en helgen.
Siden alt tyder på at Håkon V ble beatifiser en gang på begynnelsen av 1500-tallet, blir denne tiden og de politiske aktørene, som kan ha vært aktuelle som søkere av en slik helgenerklæring, kommentert. Det har stort sett vært antatt at det var Christian II, som søkte paven om kanonisering av Håkon V Magnusson, men jeg har lanser en forsiktig hypotese om at det kan ha vært en annen aktør som hadde minst like stor mulighet, og atskillig mer å vinne, det å gjøre et forsøk på å få sin slektning helgenerklært på den tiden
Le roi Håkon V Magnusson et le financement de la construction de la forteresse d'Akershus à Oslo
No full textSimensen Christian J. Le roi Håkon V Magnusson et le financement de la construction de la forteresse d'Akershus à Oslo. In: Revue numismatique, 6e série - Tome 152, année 1997 pp. 211-221
Landbasert matfiskanlegg i Finnmark - Vurdering av vannkvalitet
No full textVannkvaliteten i Kjøllefjord og Båtsfjord vurderes ut fra bruk til landbasert matfiskanlegg. Naturgitte miljømessige forhold synes å være svært like på de to lokalitetene og valg av sted kan gkøres avhengig av miljømessige effekter av utslipp. Foreliggende data gir ikke grunnlag for valg på et slikt grunnlag. Det anbefales derfor supplerende undersøkelser
Nurture Oregon progress
No full textfor Oregon Health Authority ; prepared by Comagine Health (Gillian Leichtling, Sara Magnusson, Kyn Kappesser).Title from PDF cover (viewed on January 10, 2022)."This report summarizes the first year of implementation of Nurture Oregon, a rural integrated care model for pregnant families that includes peer support, prenatal care, substance use and mental health treatment, care coordination, and other services"--Page 5.This archived document is maintained by the State Library of Oregon as part of the Oregon Documents Depository Program. It is for informational purposes and may not be suitable for legal purposes.167605Mode of access: Internet from the Oregon Government Publications Collection.Text in English
Discovering Hidden Temporal Patterns in Behavior and Interaction
No full textDiscovering hidden recurring patterns in observable behavioral processes is an important issue frequently faced by numerous advanced students and researchers across many research areas, such as, for example, psychology, biology, sports, robotics, media, fi nance, and medicine. As generally, the many powerful methods included in statistical software packages were not developed for this kind of analysis, discovering such patterns has proven a particularly diffi cult task, due to a lack of (a) adequate formalized models of the kinds of patterns to look for, (b) corresponding detection algorithms, and (c) their implementation in available software. The research described in this book is based on the application of such pattern types, algorithms, and software developed over decades or since the late 1970s and until this day in the context of research in collaboration with human and animal behavioral research teams at internationally leading universities in the USA and Europe, thus testing the usefulness and validity of the pattern types, algorithms, and software in numerous research areas. With the (scale-independent statistical hierarchical and fractal-like) T-Pattern at its heart, a set of proposed pattern types, called the T-System, forms the basis for the search algorithms implemented as the software THEME (v 6), which is easily available in free educational and full commercial versions (copyright www.patternvision.com). Recent original additions to the T-System and Theme are the T-Burst, the T-Packet (with its gravity and repulsion zone), T-Associates, T-Satellites, and T-Taboos. As each chapter of this book describes a different research application of T-Pattern Detection and Analysis with THEME, it can be seen as a sequel to Anolli et al. eds. book The Hidden Structure of Interactions: From Neurons to Culture Patterns . Both books can also be seen as products of an international research network, called Methodology for the Analysis of Social Interaction (MASI), based on a formal international interuniversity collaboration
convention between leading European universities, with Magnusson’s analytical model as the common reference, initiated in 1995 by the University of Paris V, René Descartes and fi rst signed by the rectors and presidents of seven universities, but now involves 24 universities in Europe and the Americas. Both books include a number of contributions from collaborators outside the MASI network, for example, in the area of human interaction at the University of Chicago in continuation of collaboration since the beginning of this R&D effort in the 1970s; moreover, the University of Arizona (deception in interactions, Burgoon et al.); the University of California, Irvine (psychiatry, Sandman et al.); the University of Palermo, Italy (behavior and brain research, Casarrubea et al.); and the University of Cambridge, UK (neuroscience; multi-cell interaction patterns in living brains, Nicol et al.). The chapters of this book provide advanced students and researchers highly varied models for their own research with easily available software tools (including free educational version) and should be a natural addition to university and research libraries.
M. S. Magnusson - Reykjavik , Iceland
J.K. Burgoon - Tucson , AZ , USA
M. Casarrubea - Palermo , Ital
Human tendon behaviour and adaptation, in vivo
No full textTendon properties contribute to the complex interaction of the central nervous system, muscle-tendon unit and bony structures to produce joint movement. Until recently limited information on human tendon behaviour in vivo was available; however, novel methodological advancements have enabled new insights to be gained in this area. The present review summarizes the progress made with respect to human tendon and aponeurosis function in vivo, and how tendons adapt to ageing, loading and unloading conditions. During low tensile loading or with passive lengthening not only the muscle is elongated, but also the tendon undergoes significant length changes, which may have implications for reflex responses. During active loading, the length change of the tendon far exceeds that of the aponeurosis, indicating that the aponeurosis may more effectively transfer force onto the tendon, which lengthens and stores elastic energy subsequently released during unloading, in a spring-like manner. In fact, data recently obtained in vivo confirm that, during walking, the human Achilles tendon provides elastic strain energy that can decrease the energy cost of locomotion. Also, new experimental evidence shows that, contrary to earlier beliefs, the metabolic activity in human tendon is remarkably high and this affords the tendon the ability to adapt to changing demands. With ageing and disuse there is a reduction in tendon stiffness, which can be mitigated with resistance exercises. Such adaptations seem advantageous for maintaining movement rapidity, reducing tendon stress and risk of injury, and possibly, for enabling muscles to operate closer to the optimum region of the length-tension relationship
Bioinformatic methods in rare disease genomics
No full textThe larger goal of medical genetics is to map genotype to phenotype and to understand how genomic variation affects human health. In the field of rare disease genomics, there is a mendelian assumption that states: one disease one variant. This is simplified and means that when we observe the phenotype of a rare disease patient, we suspect that there is one or two genetic variations in one gene that cause the disease. It might sound like a simple problem to solve at first, especially compared to other fields in genomics, such as cancer and common disease where multiple loci, unrelated, together are expected to cause the biological state. However, it can be a daunting task to find this variant among the handful of million variants that each human individual is carrying in the genome. This thesis is focused on the problem of finding the causative variants in patients with suspected rare inherited disorders even though some of the tools and methods are applicable in other areas as well.Many challenges arise in the sequencing analysis as the amount of data grows, requiring development of novel methods and algorithms to enable handling and interpretation of the massive amounts of data. Hundreds of millions of short sequence reads are produced for a single individual in a whole genome sequencing experiment. These are mapped to a reference genome and the positions and regions that differ from the reference are identified or “called” as variants. The variants are annotated with as much relevant information as possible, so that prediction algorithms and humans can determine which variant or small number of variants among the millions identified that are pathogenic in a particular genomic or phenotypic context.This thesis was created in parallel with the process of establishing a genomics platform in the Stockholm region, to provide the hospitals with state-of-the-art genome analysis. The tools and methods that were developed during these years were implemented and tested in a production setting immediately. In this thesis work I will illustrate the field of Clinical Genomics from different perspectives, from the components of a rare disease analysis pipeline to the integration of whole genome sequencing in a clinical setting via a close-up case study.List of scientific papersI. MultiQC: summarize analysis results for multiple tools and samples in a single report. Ewels P, Magnusson M, Lundin S, Käller M. Bioinformatics. 2016 Oct 1;32(19):3047-8. https://doi.org/10.1093/bioinformatics/btw354 II. Loqusdb: added value of an observations database of local genomic variation. Magnusson M, Eisfeldt J, Nilsson D, Rosenbaum A, Wirta V, Lindstrand A, Wedell A, Stranneheim H. BMC Bioinformatics. 2020 Jul 1;21(1):273. https://doi.org/10.1186/s12859-020-03609-z III. Integration of whole genome sequencing into a healthcare setting: high diagnostic rates across multiple clinical entities in 3219 rare disease patients. Stranneheim H*, Lagerstedt-Robinson K*, Magnusson M, Kvarnung M, Nilsson D, Lesko N, Engvall M, Anderlid BM, Arnell H, Johansson CB, Barbaro M, Björck E, Bruhn H, Eisfeldt J, Freyer C, Grigelioniene G, Gustavsson P, Hammarsjö A, Hellström-Pigg M, Iwarsson E, Jemt A, Laaksonen M, Enoksson SL, Malmgren H, Naess K, Nordenskjöld M, Oscarson M, Pettersson M, Rasi C, Rosenbaum A, Sahlin E, Sardh E, Stödberg T, Tesi B, Tham E, Thonberg H, Töhönen V, von Döbeln U, Vassiliou D, Vonlanthen S, Wikström AC, Wincent J, Winqvist O, Wredenberg A, Ygberg S, Zetterström RH, Marits P, Soller MJ, Nordgren A, Wirta V, Lindstrand A†, Wedell A†. Genome Med. 2021 Mar 17;13(1):40. *Shared first authorship, †Shared senior authorship. https://doi.org/10.1186/s13073-021-00855-5 IV. SLC12A2 mutations cause NKCC1 deficiency with encephalopathy and impaired secretory epithelia. Stödberg T*, Magnusson M*, Lesko N, Wredenberg A, Martin Munoz D, Stranneheim H, Wedell A. Neurol Genet. 2020 Jul 2;6(4):e478. *Shared first authorship. https://doi.org/10.1212/NXG.0000000000000478 </p
Excessive use of medical care or rational patient behaviour? A study of a large hospital emergency department
No full textThe role of hospital emergency departments has over the years been gradually extended, especially in large urban areas. In Stockholm, visits to hospital emergency departments increased by 30 per cent between 1973 and 1977. The southwestern district, one of Stockholm's five health care districts, has had the highest visiting rates - since 1975 40 per cent above average. A large university hospital, the Huddinge Hospital, was opened in this district in 1972. The study is an inquiry into the use of the Huddinge Hospital emergency department by the population in its catchment area. The study encompassed not only those who used the emergency department but an approximately 10 per cent sample (17 004 people) of the population. Data was collected from the hospital emergency department, medical records, by interviews with users and non-users and from registers. During the 15 months' observation (January 1976 to March 1977) 29 per cent of the population visited the hospital emergency department (range for different subareas 22 to 46 per cent). The total number of visits was 566 per 1000 population. Compared with Swedish citizens, immigrants more often visited the emergency department (19 per cent more visits) but less often used the outpatient clinics. Marked differences between Swedes and immigrants were found in the illness behaviour. The role of proximity in the use of the hospital emergency department was anlysed by dividing the catchment area into 20 subareas. The subareas closer to the hospital had up to four times higher visiting rates compared with areas further away. The travelling distance to the hospital and the proportion of immigrants together explained 81 per cent of the differences in visiting rates between the subareas. In one geographically defined subarea, 15 per cent of the population visited district GPs while 30 per cent visited the hospital emergency department. An estimated 39 to 64 per cent of the visits to the hospital emergency department were general practitioner-type cases. In a representative sample of users and non-users of the emergency department, strong association was found between health status, social factors and the level of use of the emergency department. The hospital emergency department is a major source of medical care for the population in the catchment area. A considerable part of its diversified role is to compensate for the low capacity of the primary care services in the area.List of scientific papersI. Magnusson, G. Utilization of a hospital emergency department in Stockholm. The effects of age, sex and marital status. Scandinavian Journal of Social Medicine. [Accepted] https://doi.org/10.1177/140349488000800310 II. Magnusson, G. and Aurelius, G. Illness behaviour and nationality: A study of hospital care utilization by immigrants and natives in a Stockholm district. Social Science & Medicine. [Accepted] https://pubmed.ncbi.nlm.nih.gov/7394578 III. Magnusson, G. The role of proximity in the use of hospital emergency department. Sociology of Health and Illness. [Accepted] https://doi.org/10.1111/1467-9566.ep10487794 IV. Magnusson, G. The hospital emergency department as the primary source of medical care. Scandinavian Journal of Social Medicine. [Accepted] https://doi.org/10.1177/140349488000800311 V. Magnusson, G. Association between health status, social factors and level of emergency department use. Medical Care. [Submitted]</p
INTRODUCTION
No full textDiscovering hidden recurring patterns in observable behavioral processes is an important issue frequently faced by numerous advanced students and researchers across many research areas, such as, for example, psychology, biology, sports, robotics, media, finance, and medicine. As generally, the many powerful methods included in statistical software packages were not developed for this kind of analysis, discovering such patterns has proven a particularly difficult task, due to a lack of (a) adequate formalized models of the kinds of patterns to look for, (b) corresponding detection algorithms, and (c) their implementation in available software.
The research described in this book is based on the application of such pattern types, algorithms, and software developed over decades or since the late 1970s and until this day in the context of research in collaboration with human and animal behavioral research teams at internationally leading universities in the USA and Europe, thus testing the usefulness and validity of the pattern types, algorithms, and software in numerous research areas.
With the (scale-independent statistical hierarchical and fractal-like) T-Pattern at its heart, a set of proposed pattern types, called the T-System, forms the basis for the search algorithms implemented as the software THEMETM (v 6), which is easily available in free educational and full commercial versions (copyright www.patternvision.com). Recent original additions to the T-System and Theme are the T-Burst, the T-Packet (with its gravity and repulsion zone), T-Associates, T-Satellites, and T-Taboos.
As each chapter of this book describes a different research application of T-Pattern Detection and Analysis with THEMETM, it can be seen as a sequel to Anolli et al. eds. book The Hidden Structure of Interactions: From Neurons to Culture Patterns . Both books can also be seen as products of an international research network, called “Methodology for the Analysis of Social Interaction” (MASI), based on a formal international interuniversity collaboration convention between leading European universities, with “Magnusson’s analytical model” as the common reference, initiated in 1995 by the University of Paris V, René Descartes and fi rst signed by the rectors and presidents of seven universities, but now involves 24 universities in Europe and the Americas. Both books include a number of contributions from collaborators outside the MASI network, for example, in the area of human interaction at the University of Chicago in continuation of collaboration since the beginning of this R&D effort in the 1970s; moreover, the University of Arizona (deception in interactions, Burgoon et al.); the University of California, Irvine (psychiatry, Sandman et al.); the University of Palermo, Italy (behavior and brain research, Casarrubea et al.); and the University of Cambridge, UK (neuroscience; multi-cell interaction patterns in living brains, Nicol et al.).
The chapters of this book provide advanced students and researchers highly varied models for their own research with easily available software tools (including free educational version) and should be a natural addition to university and research libraries
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