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1.	HUGHES, JR, et al. (author) EXCITATIONS IN DOUBLY-MAGIC SUPERDEFORMED PB-194 1994 In: Physical Review C. Nuclear Physics. - 0556-2813 .- 1089-490X. ; 50:3, s. R1265-R1269 Journal article (peer-reviewed)abstract A new superdeformed band with an intensity similar to 5% relative to the yrast superdeformed band has been observed in Pb-194. Evidence for a second new band corresponding to the signature partner is also presented. These bands were observed with GAMMASPHERE early implementation via the Yb-174(Mg-25, 5n) reaction at a beam energy of 130 MeV. The rotational characteristics of the new bands suggest an interpretation involving particle-hole excitations in the doubly-magic Pb-194 superdeformed core. The results are compared to neighboring nuclei and recent theoretical calculations, and possible configurations are suggested.
2.	HUGHES, JR, et al. (author) SUPERDEFORMATION IN PB-193 AND THE EFFECTS OF THE N=7 INTRUDER ORBITAL 1995 In: Physical Review C. Nuclear Physics. - 0556-2813 .- 1089-490X. ; 51:2, s. R447-R451 Journal article (peer-reviewed)
3.	Neumann, HPH, et al. (author) Comparison of Pheochromocytoma-Specific Morbidity and Mortality Among Adults With Bilateral Pheochromocytomas Undergoing Total Adrenalectomy vs Cortical-Sparing Adrenalectomy 2019 In: JAMA network open. - : American Medical Association (AMA). - 2574-3805. ; 2:8, s. e198898- Journal article (peer-reviewed)
4.	Sieberts, SK, et al. (author) Crowdsourced assessment of common genetic contribution to predicting anti-TNF treatment response in rheumatoid arthritis 2016 In: Nature communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 7, s. 12460- Journal article (peer-reviewed)abstract Rheumatoid arthritis (RA) affects millions world-wide. While anti-TNF treatment is widely used to reduce disease progression, treatment fails in ∼one-third of patients. No biomarker currently exists that identifies non-responders before treatment. A rigorous community-based assessment of the utility of SNP data for predicting anti-TNF treatment efficacy in RA patients was performed in the context of a DREAM Challenge (http://www.synapse.org/RA_Challenge). An open challenge framework enabled the comparative evaluation of predictions developed by 73 research groups using the most comprehensive available data and covering a wide range of state-of-the-art modelling methodologies. Despite a significant genetic heritability estimate of treatment non-response trait (h2=0.18, P value=0.02), no significant genetic contribution to prediction accuracy is observed. Results formally confirm the expectations of the rheumatology community that SNP information does not significantly improve predictive performance relative to standard clinical traits, thereby justifying a refocusing of future efforts on collection of other data.
5.	Sturm, D, et al. (author) New Brain Tumor Entities Emerge from Molecular Classification of CNS-PNETs 2016 In: Cell. - : Elsevier BV. - 1097-4172 .- 0092-8674. ; 164:5, s. 1060-1072 Journal article (peer-reviewed)

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Type of publication: journal article (5)

Type of content: peer-reviewed (5)

Author/Editor: Fallon, P (2); Cederwall, Bo (2); Wang, T. (1); Xie, Y. (1); Aittokallio, T (1); Tang, J. (1); show more...; KLARESKOG, L (1); Zhao, C. (1); Wolter, M. (1); Clark, RM (1); Petrov, R. (1); Wang, B. (1); Calissendorff, J (1); Saevarsdottir, S (1); Dufour, C. (1); Padyukov, L (1); Gregersen, PK (1); Khan, SA (1); Koster, J (1); Frank, S (1); Larsson, C (1); Shah, N. (1); Cheng, L (1); Mariette, X (1); Aguilar, D (1); Oliva, B (1); Wesseling, P. (1); Jones, C (1); Allen, SJ (1); Eng, C (1); Tang, H (1); Huizinga, TWJ (1); Mangravite, LM (1); Jones, DTW (1); De Vries, N (1); Pirinen, M (1); Saarela, J. (1); Michaud, K (1); Weinblatt, M (1); Scheie, D (1); Holm, S (1); Neto, EC (1); Dillenberger, D (1); Guan, YF (1); Stolovitzky, G (1); Xiao, GH (1); Zhan, XW (1); Zhu, F (1); Miceli, C (1); Reimand, J (1); show less...

University: Karolinska Institutet (3); Royal Institute of Technology (2)

Language: English (5)

Research subject (UKÄ/SCB): Natural sciences (2); Medical and Health Sciences (1)

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