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3. PBjam: Asteroseismology for everyone

Author

Nielsen, M.B, Guy Davies, Alex Lyttle, and Lindsey Carboneau

Subjects
Asteroseismology, Astrophysics::Solar and Stellar Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, Astrophysics::Earth and Planetary Astrophysics, Open source, Astrophysics::Galaxy Astrophysics, Software
Abstract

Asteroseismology is an exceptional tool for measuring fundamental stellar properties. The CoRoT, Kepler and TESS missions have observed thousands of stars that oscillate in a similar way as our Sun. This allows us to place tight constraints on their mass, radius and even age, which are important for understanding stellar structure and evolution, exoplanets and stellar populations in our galaxy. The enormous amount of observations that are and will become available, must be made accessible to the community in an easy and straightforward way. We are developing the PBjam platform for this purpose. PBjam is an open-source Python package for measuring oscillation frequencies of stars, and aims to be fast, easy and automated, allowing users in the wider community to exploit asteroseismic constraints in their studies.

Published
2021
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4. Regulation of plastic from a circular economy perspective

Author

Syberg, K., Nielsen, M.B., Westergaard Clausen, L.P., van Calster, G., van Wezel, A., Rochman, Chelsea M., Koelmans, A.A., Cronin, R., Pahl, S., Hansen, S.F., Syberg, K., Nielsen, M.B., Westergaard Clausen, L.P., van Calster, G., van Wezel, A., Rochman, Chelsea M., Koelmans, A.A., Cronin, R., Pahl, S., and Hansen, S.F.

Abstract

Plastic pollution is one of the major global environmental challenges and is therefore attracting increased societal attention. This has resulted in the adoption of a long array of national and international policies, targeting plastic pollution. Whereas early plastic pollution regulation focused mainly on banning specific plastic products such as plastic bags, more recent focus has been devoted to the full plastic value chain. The aim of this focus is to facilitate a transition towards a circular plastic economy. This review first describes the historical development of policy initiatives targeting plastic pollution, followed by a review of key legislations at each step of the plastic value chain. Finally, the review introduces policy measures most often used since 2018 to target plastic pollution and discuss the importance of regulation that facilitate the transition towards a circular plastic economy.

Published
2021

5. Remote ischaemic conditioning and early changes in plasma creatinine as markers of one year kidney graft function-A follow-up of the CONTEXT study

Author

Nielsen, M.B. (Marie B.), Krogstrup, N.V. (Nicoline V.), Oltean, M. (Mihai), Nieuwenhuijs-Moeke, G.J. (Gertrude J.), Dor, F.J.M.F. (Frank), Birn, H. (Henrik), Jespersen, B. (Bente), Nielsen, M.B. (Marie B.), Krogstrup, N.V. (Nicoline V.), Oltean, M. (Mihai), Nieuwenhuijs-Moeke, G.J. (Gertrude J.), Dor, F.J.M.F. (Frank), Birn, H. (Henrik), and Jespersen, B. (Bente)

Abstract

BACKGROUND: Ischaemia-reperfusion injury in kidney transplantation leads to delayed graft function (DGF), which is associated with reduced long term graft function. Remote ischaemic conditioning (RIC) improved early kidney graft function in a porcine model of donation after brain death and was associated with improved long-term cardiac outcome after myocardial ischaemia. This randomised, double-blinded trial evaluated the effect of RIC on kidney graft outcome in the first year, and examined the predictive value of a new measure of initial kidney graft function, i.e. the estimated time to a 50% reduction in plasma creatinine post-transplantation (tCr50). METHODS: A total of 225 patients undergoing deceased donor kidney transplantation were randomised to RIC or a sham procedure performed prior to kidney reperfusion. Up to four repetitive cycles of five minutes of leg ischaemia and five minutes of reperfusion were given. GFR, plasma creatinine, cystatin C and neutrophil gelatinase associated lipocalin (NGAL) were measured at three and twelve months and estimated GFR was calculated using four different equations. Other secondary outcomes were identified from patient files. RESULTS: RIC did not affect GFR or other outcomes when compared to the sham procedure at three or twelve months. tCr50 correlated with one year graft function (p<0.0001 for both mGFR and eGFR estimates). In contrast, DGF i.e. "need of dialysis the first week" did not correlate significantly with one year GFR. CONCLUSION: RIC during deceased donor kidney transplantation did not improve one year outcome. However, tC

Published
2019
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7. Beyond the Kepler/K2 bright limit: variability in the seven brightest members of the Pleiades

Author

White, T.R., Pope, B.J.S., Antoci, V., Pápics, P.I., Aerts, C., Gies, D.R., Gordon, K., Huber, D., Schaefer, G.H., Aigrain, S., Albrecht, S., Barclay, T., Barentsen, G., Beck, P.G., Bedding, T.R., Fredslund Andersen, M., Grundahl, F., Howell, S.B., Ireland, M.J., Murphy, S.J., Nielsen, M.B., Silva Aguirre, V., Tuthill, P.G., White, T.R., Pope, B.J.S., Antoci, V., Pápics, P.I., Aerts, C., Gies, D.R., Gordon, K., Huber, D., Schaefer, G.H., Aigrain, S., Albrecht, S., Barclay, T., Barentsen, G., Beck, P.G., Bedding, T.R., Fredslund Andersen, M., Grundahl, F., Howell, S.B., Ireland, M.J., Murphy, S.J., Nielsen, M.B., Silva Aguirre, V., and Tuthill, P.G.

Abstract

Contains fulltext : 176266.pdf (publisher's version ) (Open Access)

Published
2017

9. Non-essential genes form the hubs of genome scale protein function and environmental gene expression networks in Salmonella enterica serovar Typhimurium

Author

Rosenkrantz, J.T., Aarts, H., Abee, T., Rolfe, M.D., Knudsen, G.M., Nielsen, M.B., Thomsen, L.E., Zwietering, M.H., Olsen, J.E., and Pin, C.

Abstract

Background: Salmonella Typhimurium is an important pathogen of human and animals. It shows a broad growth range and survives in harsh conditions. The aim of this study was to analyze transcriptional responses to a number of growth and stress conditions as well as the relationship of metabolic pathways and/or cell functions at the genome-scale-level by network analysis, and further to explore whether highly connected genes (hubs) in these networks were essential for growth, stress adaptation and virulence. \ud \ud Results: De novo generated as well as published transcriptional data for 425 selected genes under a number of growth and stress conditions were used to construct a bipartite network connecting culture conditions and significantly regulated genes (transcriptional network). Also, a genome scale network was constructed for strain LT2. The latter connected genes with metabolic pathways and cellular functions. Both networks were shown to belong to the family of scale-free networks characterized by the presence of highly connected nodes or hubs which are genes whose transcription is regulated when responding to many of the assayed culture conditions or genes encoding products involved in a high number of metabolic pathways and cell functions.The five genes with most connections in the transcriptional network (wraB, ygaU, uspA, cbpA and osmC) and in the genome scale network (ychN, siiF (STM4262), yajD, ybeB and dcoC) were selected for mutations, however mutagenesis of ygaU and ybeB proved unsuccessful. No difference between mutants and the wild type strain was observed during growth at unfavorable temperatures, pH values, NaCl concentrations and in the presence of H2O2. Eight mutants were evaluated for virulence in C57/BL6 mice and none differed from the wild type strain. Notably, however, deviations of phenotypes with respect to the wild type were observed when combinations of these genes were deleted. \ud \ud Conclusion: Network analysis revealed the presence of hubs in both transcriptional and functional networks of S. Typhimurium. Hubs theoretically confer higher resistance to random mutation but a greater susceptibility to directed attacks, however, we found that genes that formed hubs were dispensable for growth, stress adaptation and virulence, suggesting that evolution favors non-essential genes as main connectors in cellular networks.

Published
2013

10. Rotation and magnetism of Kepler pulsating solar-like stars : Towards asteroseismically calibrated age-rotation relations

Author

García, R.A., Ceillier, T., Salabert, D., Mathur, S., Saders, J.L. van, Pinsonneault, M., Ballot, J., Beck, P.G., Bloemen, S., Campante, T.L., Davies, G.R., Nascimento, J.-D. do, Mathis, S., Metcalfe, T.S., Nielsen, M.B., Suárez, J.C., Chaplin, W.J., Jiménez, A., Karoff, C., García, R.A., Ceillier, T., Salabert, D., Mathur, S., Saders, J.L. van, Pinsonneault, M., Ballot, J., Beck, P.G., Bloemen, S., Campante, T.L., Davies, G.R., Nascimento, J.-D. do, Mathis, S., Metcalfe, T.S., Nielsen, M.B., Suárez, J.C., Chaplin, W.J., Jiménez, A., and Karoff, C.

Abstract

Contains fulltext : 134827.pdf (preprint version ) (Open Access)

Published
2014

11. A comprehensive study of extended tetrathiafulvalene cruciform molecules for molecular electronics: Synthesis and electrical transport measurements

Author

Parker C.R., Leary, Edmund, Frisenda R., Wei Z., Jennum K.S., Glibstrup E., Abrahamsen P.B., Santella M., Christensen M.A., Della Pia E.A., Li T., González, Teresa, Jiang X., Morsing T.J., Rubio-Bollinger G., Laursen B.W., Nørgaard K., Van Der Zant H., Agraït, Nicolás, Nielsen M.B., Parker C.R., Leary, Edmund, Frisenda R., Wei Z., Jennum K.S., Glibstrup E., Abrahamsen P.B., Santella M., Christensen M.A., Della Pia E.A., Li T., González, Teresa, Jiang X., Morsing T.J., Rubio-Bollinger G., Laursen B.W., Nørgaard K., Van Der Zant H., Agraït, Nicolás, and Nielsen M.B.

Published
2014

12. Erratum: Sounding stellar cycles with Kepler – II. Ground-based observations

Author

Karoff, C., primary, Metcalfe, T. S., additional, Chaplin, W. J., additional, Frandsen, S., additional, Grundahl, F., additional, Kjeldsen, H., additional, Christensen-Dalsgaard, J., additional, Nielsen, M.B., additional, Frimann, S., additional, Thygesen, A. O., additional, Arentoft, T., additional, Amby, T. M., additional, Sousa, S. G., additional, and Buzasi, D. L., additional

Published
2014
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13. Factors affecting the electrification of wind-driven dust studied with laboratory simulations

Author

Merrison, J.P., Gunnlausson, H.P., Hogg, M.R., Jensen, M., Lykke, J.M., Madsen, Morten Bo, Nielsen, M.B., Nørnberg, P., Ottosen, T.A., Pedersen, R.T., Pedersen, S., Sørensen, A.V., Merrison, J.P., Gunnlausson, H.P., Hogg, M.R., Jensen, M., Lykke, J.M., Madsen, Morten Bo, Nielsen, M.B., Nørnberg, P., Ottosen, T.A., Pedersen, R.T., Pedersen, S., and Sørensen, A.V.

Published
2012

14. Interobserver and intraobserver variation of two-dimensional and three-dimensional anal endosonography in the evaluation of recurrent anal cancer

Author

Christensen, A.F., Nyhuus, B., Nielsen, M.B., Christensen, A.F., Nyhuus, B., and Nielsen, M.B.

Abstract

PURPOSE: This study was designed to evaluate the interobserver and intraobserver agreement of two-dimensional (2-D) and three-dimensional (3-D) anal endosonography for the detection of local recurrence anal carcinoma. METHODS: Thirty-six patients were treated for anal carcinoma, and seven had recurrent disease. They were investigated by using 3-D endosonography at Rigshospitalet from July 2001 to January 2005 because of suspected local recurrence. The 3-D endosonographic examinations were reviewed from the hard disc by two observers who twice reviewed all 2-D examinations (the axial projection) as well as all 3-D examinations (the axial, as well as the reconstructed coronal and sagittal projections). The observers scored each examination according to the following scale regarding presence of local recurrence: 1 = no finding/benign findings; 2 = properly benign findings; 3 = suspicious findings/malignant findings. Kappa statistic-statistic was used to evaluate interobserver and intraobserver variation. RESULTS: Three-dimensional endosonography achieved better interobserver agreement than 2-D endosonography: kappa 3-D 0.34-047 vs. kappa 2-D 0.15-0.28 and better intraobserver agreement: kappa 3-D 0.34-0.62 vs. kappa 2-D 0.22-0.28. These differences showed P < 0.05. CONCLUSIONS: Three-dimensional endosonography proved to have significantly better interobserver and intraobserver agreement than 2-D endosonography concerning detection of recurrent anal cancer. Three-dimensional endosonography seems to be less dependent of the individual examiner than 2-D endosonography Udgivelsesdato: 2009/3

Published
2009

15. [Computed tomography of the heart]

Author

Kristensen, T.S., Kofoed, K.F., der, Recke P. von, Bottcher, M., Nielsen, M.B., Kelbaek, H., Kristensen, T.S., Kofoed, K.F., der, Recke P. von, Bottcher, M., Nielsen, M.B., and Kelbaek, H.

Abstract

Noninvasive evaluation of the coronary arteries by multi-detector row computed tomography is a promising new alternative to conventional invasive coronary angiography. This article describes the technical background, methods, limitations and clinical applications and reviews current literature that compares the diagnostic accuracy of multi-detector row computed tomography with that of coronary angiography Udgivelsesdato: 2009/4/6

Published
2009

16. [Image fusion with ultrasound]

Author

Ewertsen, C., Nielsen, K.R., Henriksen, B.M., Torp-Pedersen, S., Nielsen, M.B., Ewertsen, C., Nielsen, K.R., Henriksen, B.M., Torp-Pedersen, S., and Nielsen, M.B.

Abstract

Udgivelsesdato: 2009/3/23

Published
2009

17. In vivo validation of a blood vector velocity estimator with MR angiography

Author

Hansen, K.L., Udesen, J., Thomsen, C., Jensen, J.A., Nielsen, M.B., Hansen, K.L., Udesen, J., Thomsen, C., Jensen, J.A., and Nielsen, M.B.

Abstract

Conventional Doppler methods for blood velocity estimation only estimate the velocity component along the ultrasound beam direction. This implies that a Doppler angle under examination close to 90 degrees results in unreliable information about the true blood direction and blood velocity. The novel method transverse oscillation (TO), which combines estimates of the axial and the transverse velocity components in the scan plane, makes it possible to estimate the vector velocity of the blood regardless of the Doppler angle. The present study evaluates the TO method with magnetic resonance phase contrast angiography (MRA) by comparing in vivo measurements of stroke volume. Eleven healthy volunteers were included in this prospective study. From the obtained data sets recorded with the 2 modalities, vector velocity sequences were constructed and stroke volume calculated. Angle of insonation was approximately 90 degrees for TO measurements. The correlation between the stroke volume estimated by TO and MRA was 0.91 (p < 0.01) with the equation for the line of regression: MRA = 1.1.TO-0.4. A Bland-Altman plot was additionally constructed where the mean difference was 0.2 ml with limits of agreement at -1.4 ml and 1.9 ml. The results indicate that reliable vector velocity estimates can be obtained in vivo using the presented angle-independent 2-D vector velocity method. The TO method can be a useful alternative to conventional Doppler systems by avoiding the angle artifact, thus giving quantitative velocity information Udgivelsesdato: 2009/1

Published
2009

20. High frame-rate blood vector velocity imaging using plane waves: simulations and preliminary experiments

Author

Udesen, J., Gran, F., Hansen, K.L., Jensen, J.A., Nielsen, M.B., Thomsen, Carsten, Udesen, J., Gran, F., Hansen, K.L., Jensen, J.A., Nielsen, M.B., and Thomsen, Carsten

Abstract

Conventional ultrasound methods for acquiring color images of blood velocity are limited by a relatively low frame-rate and are restricted to give velocity estimates along the ultrasound beam direction only. To circumvent these limitations, the method presented in this paper uses 3 techniques: 1) The ultrasound is not focused during the transmissions of the ultrasound signals; 2) A 13-bit Barker code is transmitted simultaneously from each transducer element; and 3) The 2-D vector velocity of the blood is estimated using 2-D cross-correlation. A parameter study was performed using the Field II program, and performance of the method was investigated when a virtual blood vessel was scanned by a linear array transducer. An improved parameter set for the method was identified from the parameter study, and a flow rig measurement was performed using the same improved setup as in the simulations. Finally, the common carotid artery of a healthy male was scanned with a scan sequence that satisfies the limits set by the Food and Drug Administration. Vector velocity images were obtained with a frame-rate of 100 Hz where 40 speckle images are used for each vector velocity image. It was found that the blood flow approximately followed the vessel wall, and that maximum velocity was approximately 1 m/s, which is a normal value for a healthy person. To further evaluate the method, the test person was scanned with magnetic resonance (MR) angiography. The volume flow derived from the MR scanning was compared with that from the ultrasound scanning. A deviation of 9% between the 2 volume flow estimates was found Udgivelsesdato: 2008/8

Published
2008

21. Focused bedside ultrasonography by clinicians: experiences with a basic introductory course

Author

Hillingso, J.G., Nielsen, M.B., Svendsen, Lars Bo, Hillingso, J.G., Nielsen, M.B., and Svendsen, Lars Bo

Abstract

OBJECTIVE: Ultrasonography (US) performed by clinicians might shorten workout time and diminish the workload of simple diagnostic procedures for physicians specialized in US. The purpose of this follow-up study was to evaluate the effect of an introductory course in US on participants' clinical behaviour and course compliance. MATERIAL AND METHODS: The course consisted of a combined didactic, hands-on, one-day course including a skills test and a review of 20 still-pictures of pathological findings for final authorization. A questionnaire focusing on pre- and post-course activity and its impact on clinical behaviour was sent to 162 participants. RESULTS: The response rate was 64% (103). Forty-eight (47%) participants changed their clinical approach, 45 (44%) their workout programme and 25 (24%) the pattern of referral. Eleven (10%) sent in the required pathological findings for final authorization. Thirty-four (33%) participants did not carry out US after the course; 19 did not have access to US apparatus, 7 claimed that they lacked the time, 6 lacked supervision and 1 participant cited insufficiency of the course. Clinical approach was changed by 48 (47%), acute workout by 45 (44%) and pattern of referral by 24 (23%). CONCLUSIONS: Clinicians appear to be ready to change the patterns of their workout programmes and clinical approach after a combined didactic and hands-on introduction to US, but only 10% produced the recommended documentation for authorization. National guidelines need to be introduced for gastroenterologists and surgeons or the European Federation of Societies for Ultrasound in Medicine and Biology Guidelines should be implemented Udgivelsesdato: 2008

Published
2008

22. Prevention of overuse injuries by a concurrent exercise program in subjects exposed to an increase in training load - A randomized controlled trial of 1020 army recruits

Author

Brushoj, C., Larsen, K., Albrecht-Beste, E., Nielsen, M.B., Loye, F., Holmich, P., Brushoj, C., Larsen, K., Albrecht-Beste, E., Nielsen, M.B., Loye, F., and Holmich, P.

Abstract

Background: It is unknown whether an exercise program can prevent overuse injuries in the lower extremity. An often encountered and important risk factor for the development of lower extremity overuse injuries is an abrupt increase in activity level. Hypothesis: A preventive training program based on a literature review of intrinsic risk factors, and performed concurrent with an increase in physical activity, can reduce the incidence of overuse knee injuries and medial tibial stress syndrome, as well as increase running distance. Study Design: Randomized controlled trial; Level of evidence, 1. Methods: A total of 1020 soldiers aged 20.9 years ( range, 19-26 years) undergoing 3 months of basic military training consecutively enrolled from December 2004 to December 2005. The prevention program consisted of an exercise program of 15 minutes' duration 3 times a week, including 5 exercises for strength, flexibility, and coordination; the placebo program consisted of 5 exercises for the upper body. Results: During the observation period, 223 subjects sustained an injury, with 50 and 48 of these fulfilling the study criteria for overuse knee injuries or medial tibial stress syndrome, respectively. There were no significant differences in incidence of injury between the prevention group and the placebo group ( incidence, 0.22 vs 0.19; P = .162; relative risk = 1.05 [ range, 0.98-1.11]). The soldiers in the prevention group had the greater improvement in running distance in 12-minute run tests ( 82 vs 43 m; P = .037). Conclusion: An exercise program with an emphasis on muscular strengthening, coordination, and flexibility based on intrinsic risk factors identified through a literature review did not influence the risk of developing overuse knee injuries or medial tibial stress syndrome in subjects undergoing an increase in physical activity. The program increased maximal running distance in a 12-minute test Udgivelsesdato: 2008/4

Published
2008

23. The new CT scanners. The Danish Society of Radiology

Author

Kristensen, T.S., der, Recke P. von, Nielsen, M.B., Kofoed, Klaus Fuglsang, Kristensen, T.S., der, Recke P. von, Nielsen, M.B., and Kofoed, Klaus Fuglsang

Abstract

Udgivelsesdato: 2008/3/17

Published
2008

24. Acute patellofemoral pain: aggravating activities, clinical examination, MRI and ultrasound findings

Author

Brushoj, C., Holmich, P., Nielsen, M.B., Albrecht-Beste, E., Brushoj, C., Holmich, P., Nielsen, M.B., and Albrecht-Beste, E.

Abstract

Objective: To investigate acute anterior knee pain caused by overuse in terms of pain location, aggravating activities, findings on clinical examination and ultrasound/MRI examination. To determine if acute anterior knee pain caused by overuse should be classified as a subgroup of patellofemoral pain syndrome (PFPS). Methods: In a observational study design 30 army recruits with anterior knee pain (mean duration of pain 4 weeks) were examined using the PFPS pain severity scale (PSS), knee pain diagrams, standardised clinical examination, ultrasound and MRI examinations. Results: On PSS typical knee loading activities were the most painful, while sitting with knee bend for prolonged time caused surprisingly little pain. Pain was most commonly perceived in the peripatellar area (25 patients (83%)). The most common site of pain on clinical examination was the peripatellar area (25 patients (83%)), but other synovial covered structures including the fat pad of Hoffa (12 patients (40%)), the medial plica and the joint line (12 patients (40%)) were also involved. Only eight patients (27%) experienced pain on the patellofemoral compression test. Only discrete changes was detected on MRI/ultrasound. Conclusions: Acute anterior knee pain should be regarded as a subgroup of PFPS as both symptoms and clinical examination suggests this. The clinical examination with disseminated pain in all synovial covered structures is consistent with ideas of the importance of synovium in the genesis of pain Udgivelsesdato: 2008/1

Published
2008

26. Dynamic tubular grid : An efficient data structure and algorithms for high resolution level sets

Author

Nielsen, M.B., Museth, Ken, Nielsen, M.B., and Museth, Ken

Abstract

Level set methods [Osher and Sethian. Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations. J. Comput. Phys. 79 (1988) 12] have proved very successful for interface tracking in many different areas of computational science. However, current level set methods are limited by a poor balance between computational efficiency and storage requirements. Tree-based methods have relatively slow access times, whereas narrow band schemes lead to very large memory footprints for high resolution interfaces. In this paper we present a level set scheme for which both computational complexity and storage requirements scale with the size of the interface. Our novel level set data structure and algorithms are fast, cache efficient and allow for a very low memory footprint when representing high resolution level sets. We use a time-dependent and interface adapting grid dubbed the "Dynamic Tubular Grid" or DT-Grid. Additionally, it has been optimized for advanced finite difference schemes currently employed in accurate level set computations. As a key feature of the DT-Grid, the associated interface propagations are not limited to any computational box and can expand freely. We present several numerical evaluations, including a level set simulation on a grid with an effective resolution of 10243. © 2006 Springer Science+Business Media, Inc.

Published
2006
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32. Only minor additional metabolic health benefits of high as opposed to moderate dose physical exercise in young, moderately overweight men.

Author

Reichkendler, M.H., Rosenkilde, M., Auerbach, P.L., Agerschou, J., Nielsen, M.B., Kjaer, A., Hoejgaard, L., Sjödin, A., Ploug, T., and Stallknecht, B.

Subjects
EXERCISE physiology, PHYSIOLOGICAL effects of insulin, OVERWEIGHT men, SEDENTARY lifestyles, SEDENTARY behavior
Abstract

Objective The dose-response effects of exercise training on insulin sensitivity, metabolic risk, and quality of life were examined. Methods Sixty-one healthy, sedentary (VO2max: 35 ± 5 ml/kg/min), moderately overweight (BMI: 27.9 ± 1.8), young (age: 29 ± 6 years) men were randomized to sedentary living (sedentary control group; n = 18), moderate (moderate dose training group [MOD]: 300 kcal/day, n = 21), or high (high dose training group [HIGH]: 600 kcal/day, n = 22) dose physical exercise for 11 weeks. Results The return rate for post-intervention testing was 82-94% across groups. Weekly exercise amounted to 2,004 ± 24 and 3,774 ± 68 kcal, respectively, in MOD and HIGH. Cardiorespiratory fitness increased ( P < 0.001) 18 ± 3% in MOD and 17 ± 3% in HIGH, and fat percentage decreased ( P < 0.001) similarly in both exercise groups (MOD: 32 ± 1 to 29 ± 1%; HIGH: 30 ± 1 to 27 ± 1%). Peripheral insulin sensitivity increased ( P < 0.01) (MOD: 28 ± 7%; HIGH: 36 ± 8%) and the homeostasis model assessment of insulin resistance decreased ( P < 0.05) (MOD: -17 ± 7%; HIGH: -18 ± 10%). The number of subjects meeting the criteria of the metabolic syndrome decreased by 78% in MOD ( P < 0.01) and by 80% in HIGH ( P < 0.05). General health assessed by questionnaire increased similarly in MOD ( P < 0.05) and HIGH ( P < 0.01). Conclusions Only minor additional health benefits were found when exercising ∼3,800 as opposed to ∼2,000 kcal/week in young moderately overweight men. This finding may have important public health implications. [ABSTRACT FROM AUTHOR]

Published
2014
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33. Starspot simulations for Kepler.

Author

Nielsen, M.B. and Karoff, C.

Abstract

The NASA Kepler mission yields an unprecedented amount of data in the form of photometric light curves. Apart from valuable information on exoplanets and stellar pulsations, the light curves contain rotation signals from starspots crossing the stellar disk. These modulations of the light curves are modeled and 105 simulations are carried out to analyze and understand a similar analysis of the Kepler light curves. The periodogram is calculated for each light curve. Under the assumption that the main source of variability at periods >1 day is due to spots, the simulations show that the rotation period can be easily determined for spot lifetimes of 30-60 days, but becomes more unreliable for spots lifetimes of 10-20 days. The amplitude of the periodogram peaks appear to be only weakly dependent on changes in the size of the spots, while the width of the peaks shows no clear change with increasing spot lifetimes (© 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim) [ABSTRACT FROM AUTHOR]

Published
2012
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34. Contemporary management of locally advanced and recurrent rectal cancer: views from the PelvEx collaborative

Author

Kelly M. E., O’Sullivan N. J., Fahy M. R., Aalbers A. G. J., Abdul Aziz N., Abecasis N., Abraham-Nordling M., Abu Saadeh F., Akiyoshi T., Alberda W., Albert M., Andric M., Angeles M. A., Angenete E., Antoniou A., Auer R., Austin K. K., Aytac E., Aziz O., Bacalbasa N., Baker R. P., Bali M., Baransi S., Baseckas G., Bebington B., Bedford M., Bednarski B. K., Beets G. L., Berg P. L., Bergzoll C., Beynon J., Biondo S., Boyle K., Bordeianou L., Brecelj E., Bremers A. B., Brunner M., Buchwald P., Bui A., Burgess A., Burger J. W. A., Burling D., Burns E., Campain N., Carvalhal S., Castro L., Caycedo-Marulanda A., Ceelen W., Chan K. K. L., Chang G. J., Chang M., Chew M. H., Chok A. Y., Chong P., Clouston H., Codd M., Collins D., Colquhoun A. J., Constantinides J., Corr A., Coscia M., Cosimelli M., Cotsoglou C., Coyne P. E., Croner R. S., Damjanovich L., Daniels I. R., Davies M., Delaney C. P., de Wilt J. H. W., Denost Q., Deutsch C., Dietz D., Domingo S., Dozois E. J., Drozdov E., Duff M., Eglinton T., Enriquez-Navascues J. M., Espín-Basany E., Evans M. D., Eyjólfsdóttir B., Fearnhead N. S., Ferron G., Fichtner-Feigl S., Flatmark K., Fleming F. J., Flor B., Folkesson J., Frizelle F. A., Funder J., Gallego M. A., Gargiulo M., García-Granero E., García-Sabrido J. L., Gava V. G., Gentilini L., George M. L., George V., Georgiou P., Ghosh A., Ghouti L., Gil-Moreno A., Giner F., Ginther D. N., Glyn T., Glynn R., Golda T., Griffiths B., Harris D. A., Hanchanale V., Harji D. P., Harris C., Helewa R. M., Hellawell G., Heriot A. G., Hochman D., HohenbergerW., Holm T., Hompes R., Hornung B., Hurton S., Hyun E., Ito M., Iversen L. H., Jenkins J. T., Jourand K., Kaffenberger S., Kandaswamy G. V., Kapur S., Kanemitsu Y., Kazi M., Kelley S. R., Keller D. S., Ketelaers S. H. J., Khan M. S., Kiran R. P., Kim H., Kim H. J., Koh C. E., Kok N. F. M., Kokelaar R., Kontovounisios C., Kose F., Koutra M., Kristensen H. Ø., Kroon H. M., Kumar S., Kusters M., Lago V., Lampe B., Lakkis Z., Larach J. T., Larkin J. O., Larsen S. G., Larson D. W., Law W. L., Lee P. J., Limbert M., Loria A., Lydrup ML., Lyons A., Lynch A. C., Maciel J., Manfredelli S., Mann C., Mantyh C., Mathis K. L., Marques C. F. S., Martinez A., Martling A., Mehigan B. J., MeijerinkW. J. H. J., Merchea A., Merkel S., Mehta A. M., Mikalauskas S., McArthur D. R., McCormick J. J., McCormick P., McDermott F. D., McGrath J. S., Malde S., Mirnezami A., Monson J. R. T., Navarro A. S., Neeff H., Negoi I., Neto J. W. M., Ng J. L., Nguyen B., Nielsen M. B., Nieuwenhuijzen G. A. P., Nilsson P. J., Nordkamp S., Nugent T., Oliver A., O’Dwyer S. T., Paarnio K., Palmer G., Pappou E., Park J., Patsouras D., Peacock O., Pellino G., Peterson A. C., Pfeffer F., Pinson J., Poggioli G., Proud D., Quinn M., Quyn A., Rajendran N., Radwan R. W., Rao C., Rasheed S., Rausa E., Regenbogen S. E., Reims H. M., Renehan A., Rintala J., Rocha R., Rochester M., Rohila J., Rothbarth J., Rottoli M., Roxburgh C., Rutten H. J. T., Safar B., Sagar P. M., Sahai A., Saklani A., Sammour T., Sayyed R., Schizas A. M. P., Schwarzkopf E., Scripcariu D., Scripcariu V., Selvasekar C., Shaikh I., Simpson A., Skeie-Jensen T., Smart N. J., Smart P., Smith J. J., Solbakken A. M., Solomon M. J., Sørensen M. M., Sorrentino L., Steele S. R., Steffens D., Stitzenberg K., Stocchi L., Stylianides N. A., Swartling T., Spasojevic M., Sumrien H., Sutton P. A., Swartking T., Takala H., Tan E. J., Taylor C., Taylor D., Tekin A., Tekkis P. P., Teras J., Thaysen H. V., Thurairaja R., Thorgersen E. B., Tiernan J., Toh E. L., Tolenaar J., Tsarkov P., Tsukada Y., Tsukamoto S., Tuech J. J., Turner W. H., Tuynman J. B., Valente M., van Ramshorst G. H., van Rees J., van Zoggel D., Vasquez-JimenezW., Vather R., Verhoef C., Vierimaa M., Vizzielli G., Voogt E. L. K., Uehara K., Urrejola G., Wakeman C., Warrier S. K., Wasmuth H. H., Waters P. S., Weber K., Weiser M. R., Wheeler J. M. D., Wild J., Williams A., Wilson M., Wolthuis A., Yano H., Yip B., Yoo R. N., Zappa M. A., Winter D. C., and Kelly M.E., O’Sullivan N.J., Fahy M.R., Aalbers A.G.J., Abdul Aziz N., Abecasis N., Abraham-Nordling M., Abu Saadeh F., Akiyoshi T., Alberda W., Albert M., Andric M., Angeles M.A., Angenete E., Antoniou A., Auer R., Austin K.K., Aytac E., Aziz O., Bacalbasa N., Baker R.P., Bali M., Baransi S., Baseckas G., Bebington B., Bedford M., Bednarski B.K., Beets G.L., Berg P.L., Bergzoll C., Beynon J., Biondo S., Boyle K., Bordeianou L., Brecelj E., Bremers A.B., Brunner M., Buchwald P., Bui A., Burgess A., Burger J.W.A., Burling D., Burns E., Campain N., Carvalhal S., Castro L., Caycedo-Marulanda A., Ceelen W., Chan K.K.L., Chang G.J., Chang M., Chew M.H., Chok A.Y., Chong P., Clouston H., Codd M., Collins D., Colquhoun A.J., Constantinides J., Corr A., Coscia M., Cosimelli M., Cotsoglou C., Coyne P.E., Croner R.S., Damjanovich L., Daniels I.R., Davies M., Delaney C.P., de Wilt J.H.W., Denost Q., Deutsch C., Dietz D., Domingo S., Dozois E.J., Drozdov E., Duff M., Eglinton T., Enriquez-Navascues J.M., Espín-Basany E., Evans M.D., Eyjólfsdóttir B., Fearnhead N.S., Ferron G., Fichtner-Feigl S., Flatmark K., Fleming F.J., Flor B., Folkesson J., Frizelle F.A., Funder J., Gallego M.A., Gargiulo M., García-Granero E., García-Sabrido J.L., Gargiulo M., Gava V.G., Gentilini L., George M.L., George V., Georgiou P., Ghosh A., Ghouti L., Gil-Moreno A., Giner F., Ginther D.N., Glyn T., Glynn R., Golda T., Griffiths B., Harris D.A., Hanchanale V., Harji D.P., Harris C., Helewa R.M., Hellawell G., Heriot A.G., Hochman D., HohenbergerW., Holm T., Hompes R., Hornung B., Hurton S., Hyun E., Ito M., Iversen L.H., Jenkins J.T., Jourand K., Kaffenberger S., Kandaswamy G.V., Kapur S., Kanemitsu Y., Kazi M., Kelley S.R., Keller D.S., Ketelaers S.H.J., Khan M.S., Kiran R.P., Kim H., Kim H.J., Koh C.E., Kok N.F.M., Kokelaar R., Kontovounisios C., Kose F., Koutra M., Kristensen H.Ø., Kroon H.M., Kumar S., Kusters M., Lago V., Lampe B., Lakkis Z., Larach J.T., Larkin J.O., Larsen S.G., Larson D.W., Law W.L., Lee P.J., Limbert M., Loria A., Lydrup ML., Lyons A., Lynch A.C., Maciel J., Manfredelli S., Mann C., Mantyh C., Mathis K.L., Marques C.F.S., Martinez A., Martling A., Mehigan B.J., MeijerinkW.J.H.J., Merchea A., Merkel S., Mehta A.M., Mikalauskas S., McArthur D.R., McCormick J.J., McCormick P., McDermott F.D., McGrath J.S., Malde S., Mirnezami A., Monson J.R.T., Navarro A.S., Neeff H., Negoi I., Neto J.W.M., Ng J.L., Nguyen B., Nielsen M.B., Nieuwenhuijzen G.A.P., Nilsson P.J., Nordkamp S., Nugent T., Oliver A., O’Dwyer S.T., Paarnio K., Palmer G., Pappou E., Park J., Patsouras D., Peacock O., Pellino G., Peterson A.C., Pfeffer F., Pinson J., Poggioli G., Proud D., Quinn M., Quyn A., Rajendran N., Radwan R.W., Rajendran N., Rao C., Rasheed S., Rausa E., Regenbogen S.E., Reims H.M., Renehan A., Rintala J., Rocha R., Rochester M., Rohila J., Rothbarth J., Rottoli M., Roxburgh C., Rutten H.J.T., Safar B., Sagar P.M., Sahai A., Saklani A., Sammour T., Sayyed R., Schizas A.M.P., Schwarzkopf E., Scripcariu D., Scripcariu V., Selvasekar C., Shaikh I., Simpson A., Skeie-Jensen T., Smart N.J., Smart P., Smith J.J., Solbakken A.M., Solomon M.J., Sørensen M.M., Sorrentino L., Steele S.R., Steffens D., Stitzenberg K., Stocchi L., Stylianides N.A., Swartling T., Spasojevic M., Sumrien H., Sutton P.A., Swartking T., Takala H., Tan E.J., Taylor C., Taylor D., Tekin A., Tekkis P.P., Teras J., Thaysen H.V., Thurairaja R., Thorgersen E.B., Tiernan J., Toh E.L., Tolenaar J., Tsarkov P., Tsukada Y., Tsukamoto S., Tuech J.J., Turner W.H., Tuynman J.B., Valente M., van Ramshorst G.H., van Rees J., van Zoggel D., Vasquez-JimenezW., Vather R., Verhoef C., Vierimaa M., Vizzielli G., Voogt E.L.K., Uehara K., Urrejola G., Wakeman C., Warrier S.K.,Wasmuth H.H.,Waters P.S.,Weber K.,Weiser M.R., Wheeler J.M.D.,Wild J., Williams A., Wilson M., Wolthuis A., Yano H., Yip B., Yoo R.N., Zappa M.A., Winter D.C.

Subjects
Cancer Research, perioperative care, ENHANCED RECOVERY, diagnostic, EXENTERATION, surgical management, surgical outcomes, recurrent rectal cancer, SDG 3 - Good Health and Well-being, locally advanced rectal cancer, QUALITY-OF-LIFE, Medicine and Health Sciences, diagnostics, 1112 Oncology and Carcinogenesis, PATHOLOGICAL COMPLETE RESPONSE, rectal cancer, SURGICAL TECHNIQUES, OUTCOMES, Science & Technology, HYPERTHERMIC INTRAPERITONEAL, PelvEx Collaborative, CHEMOTHERAPY, WHOLE-BODY MRI, NEOADJUVANT CHEMORADIOTHERAPY, Oncology, quality of life, CYTOREDUCTIVE SURGERY, HYPERTHERMIC INTRAPERITONEAL CHEMOTHERAPY, Life Sciences & Biomedicine
Abstract

Pelvic exenteration is a complex operation performed for locally advanced and recurrent pelvic cancers. The goal of surgery is to achieve clear margins, therefore identifying adjacent or involved organs, bone, muscle, nerves and/or vascular structures that may need resection. While these extensive resections are potentially curative, they can be associated with substantial morbidity. Recently, there has been a move to centralize care to specialized units, as this facilitates better multidisciplinary care input. Advancements in pelvic oncology and surgical innovation have redefined the boundaries of pelvic exenterative surgery. Combined with improved neoadjuvant therapies, advances in diagnostics, and better reconstructive techniques have provided quicker recovery and better quality of life outcomes, with improved survival This article provides highlights of the current management of advanced pelvic cancers in terms of surgical strategy and potential future developments.

Published
2022
Full Text
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35. The impact of the COVID-19 pandemic on the Management of Locally Advanced Primary/Recurrent Rectal Cancer

Author

Chok A. Y., Kontovounisios C., Rasheed S., Kelly M. E., Agj A., Abdul Aziz N., Abecasis N., Abraham-Nordling M., Akiyoshi T., Alberda W., Albert M., Andric M., Angenete E., Antoniou A., Auer R., Austin K. K., Aziz O., Baker R. P., Bali M., Baseckas G., Bebington B., Bedford M., Bednarski B. K., Beets G. L., Berg P. L., Beynon J., Biondo S., Boyle K., Bordeianou L., Bremers A. B., Brunner M., Buchwald P., Bui A., Burgess A., Jwa B., Burling D., Burns E., Campain N., Carvalhal S., Castro L., Caycedo-Marulanda A., Kkl C., Chang G. J., Chang M., Chew M. H., Chong P., Christensen H. K., Clouston H., Codd M., Collins D., Colquhoun A. J., Corr A., Coscia M., Cosimelli M., Coyne P. E., Creavin B., Croner R. S., Damjanovic L., Daniels I. R., Davies M., Davies R. J., Delaney C. P., Jhw D. W., Denost Q., Deutsch C., Dietz D., Domingo S., Dozois E. J., Duff M., Eglinton T., Enrique-Navascues J. M., Espin-Basany E., Evans M. D., Fearnhead N. S., Flatmark K., Fleming F., Frizelle F. A., Gallego M. A., Garcia-Granero E., Garcia-Sabrido J. L., Gentilini L., George M. L., George V., Ghouti L., Giner F., Ginther N., Glynn R., Golda T., Griffiths B., Harris D. A., Jaw H., Hanchanale V., Harji D. P., Helewa R. M., Hellawell G., Heriot A. G., Hochman D., Hohenberger W., Holm T., Hompes R., Jenkins J. T., Kaffenberger S., Kandaswamy G. V., Kapur S., Kanemitsu Y., Kelley S. R., Keller D. S., Khan M. S., Kim H., Kim H. J., Koh C. E., Nfm K., Kokelaar R., Kristensen H. O., Kroon H. M., Kusters M., Lago V., Larsen S. G., Larson D. W., Law W. L., Laurberg S., Lee P. J., Limbert M., Lydrup M. L., Lyons A., Lynch A. C., Mantyh C., Mathis K. L., Cfs M., Martling A., Wjhj M., Merkel S., Mehta A. M., McArthur D. R., McDermott F. D., McGrath J. S., Malde S., Mirnezami A., Jrt M., Morton J. R., Mullaney T. G., Negoi I., Jwm N., Ng J. L., Nguyen B., Nielsen M. B., Gap N., Nilsson P. J., Oliver A., O'Dwyer S. T., Palmer G., Pappou E., Park J., Patsouras D., Pellino G., Peterson A. C., Poggioli G., Proud D., Quinn M., Quyn A., Radwan R. W., Rasmussen P. C., Rausa E., Regenbogen S. E., Renehan A., Rocha R., Rochester M., Rohila J., Rothbarth J., Rottoli M., Roxburgh C., Hjt R., Ryan E. J., Safar B., Sagar P. M., Sahai A., Saklani A., Sammour T., Sayyed R., Amp S., Schwarzkopf E., Scripcariu V., Selvasekar C., Shaikh I., Shida D., Simpson A., Smart N. J., Smart P., Smith J. J., Solbakken A. M., Solomon M. J., Sorensen M. M., Steele S. R., Steffens D., Stitzenberg K., Stocchi L., Stylianides N. A., Swartling T., Sumrien H., Sutton P. A., Swartking T., Tan E. J., Taylor C., Teras J., Thurairaja R., Toh E. L., Tsarkov P., Tsukada Y., Tsukamoto S., Tuech J. J., Turner W. H., Tuynman J. B., van Ramshorst G. H., van Zoggel D., Vasquez-Jimenez W., Verhoef C., Vizzielli G., Elk V., Uehara K., Wakeman C., Warrier S., Wasmuth H. H., Weber K., Weiser M. R., Jmd W., Wild J., Wilson M., Wolthuis A., Yano H., Yip B., Yip J., Yoo R. N., Zappa M. A., Winter D. C., Tekkis P. P., Chok A.Y., Kontovounisios C., Rasheed S., Kelly M.E., Agj A., Abdul Aziz N., Abecasis N., Abraham-Nordling M., Akiyoshi T., Alberda W., Albert M., Andric M., Angenete E., Antoniou A., Auer R., Austin K.K., Aziz O., Baker R.P., Bali M., Baseckas G., Bebington B., Bedford M., Bednarski B.K., Beets G.L., Berg P.L., Beynon J., Biondo S., Boyle K., Bordeianou L., Bremers A.B., Brunner M., Buchwald P., Bui A., Burgess A., Jwa B., Burling D., Burns E., Campain N., Carvalhal S., Castro L., Caycedo-Marulanda A., Kkl C., Chang G.J., Chang M., Chew M.H., Chong P., Christensen H.K., Clouston H., Codd M., Collins D., Colquhoun A.J., Corr A., Coscia M., Cosimelli M., Coyne P.E., Creavin B., Croner R.S., Damjanovic L., Daniels I.R., Davies M., Davies R.J., Delaney C.P., Jhw D.W., Denost Q., Deutsch C., Dietz D., Domingo S., Dozois E.J., Duff M., Eglinton T., Enrique-Navascues J.M., Espin-Basany E., Evans M.D., Fearnhead N.S., Flatmark K., Fleming F., Frizelle F.A., Gallego M.A., Garcia-Granero E., Garcia-Sabrido J.L., Gentilini L., George M.L., George V., Ghouti L., Giner F., Ginther N., Glynn R., Golda T., Griffiths B., Harris D.A., Jaw H., Hanchanale V., Harji D.P., Helewa R.M., Hellawell G., Heriot A.G., Hochman D., Hohenberger W., Holm T., Hompes R., Jenkins J.T., Kaffenberger S., Kandaswamy G.V., Kapur S., Kanemitsu Y., Kelley S.R., Keller D.S., Khan M.S., Kim H., Kim H.J., Koh C.E., Nfm K., Kokelaar R., Kristensen H.O., Kroon H.M., Kusters M., Lago V., Larsen S.G., Larson D.W., Law W.L., Laurberg S., Lee P.J., Limbert M., Lydrup M.L., Lyons A., Lynch A.C., Mantyh C., Mathis K.L., Cfs M., Martling A., Wjhj M., Merkel S., Mehta A.M., McArthur D.R., McDermott F.D., McGrath J.S., Malde S., Mirnezami A., Jrt M., Morton J.R., Mullaney T.G., Negoi I., Jwm N., Ng J.L., Nguyen B., Nielsen M.B., Gap N., Nilsson P.J., Oliver A., O'Dwyer S.T., Palmer G., Pappou E., Park J., Patsouras D., Pellino G., Peterson A.C., Poggioli G., Proud D., Quinn M., Quyn A., Radwan R.W., Rasmussen P.C., Rausa E., Regenbogen S.E., Renehan A., Rocha R., Rochester M., Rohila J., Rothbarth J., Rottoli M., Roxburgh C., Hjt R., Ryan E.J., Safar B., Sagar P.M., Sahai A., Saklani A., Sammour T., Sayyed R., Amp S., Schwarzkopf E., Scripcariu V., Selvasekar C., Shaikh I., Shida D., Simpson A., Smart N.J., Smart P., Smith J.J., Solbakken A.M., Solomon M.J., Sorensen M.M., Steele S.R., Steffens D., Stitzenberg K., Stocchi L., Stylianides N.A., Swartling T., Sumrien H., Sutton P.A., Swartking T., Tan E.J., Taylor C., Teras J., Thurairaja R., Toh E.L., Tsarkov P., Tsukada Y., Tsukamoto S., Tuech J.J., Turner W.H., Tuynman J.B., van Ramshorst G.H., van Zoggel D., Vasquez-Jimenez W., Verhoef C., Vizzielli G., Elk V., Uehara K., Wakeman C., Warrier S., Wasmuth H.H., Weber K., Weiser M.R., Jmd W., Wild J., Wilson M., Wolthuis A., Yano H., Yip B., Yip J., Yoo R.N., Zappa M.A., Winter D.C., Tekkis P.P., Chok, A. Y., Kontovounisios, C., Rasheed, S., Kelly, M. E., Agj, A., Abdul Aziz, N., Abecasis, N., Abraham-Nordling, M., Akiyoshi, T., Alberda, W., Albert, M., Andric, M., Angenete, E., Antoniou, A., Auer, R., Austin, K. K., Aziz, O., Baker, R. P., Bali, M., Baseckas, G., Bebington, B., Bedford, M., Bednarski, B. K., Beets, G. L., Berg, P. L., Beynon, J., Biondo, S., Boyle, K., Bordeianou, L., Bremers, A. B., Brunner, M., Buchwald, P., Bui, A., Burgess, A., Jwa, B., Burling, D., Burns, E., Campain, N., Carvalhal, S., Castro, L., Caycedo-Marulanda, A., Kkl, C., Chang, G. J., Chang, M., Chew, M. H., Chong, P., Christensen, H. K., Clouston, H., Codd, M., Collins, D., Colquhoun, A. J., Corr, A., Coscia, M., Cosimelli, M., Coyne, P. E., Creavin, B., Croner, R. S., Damjanovic, L., Daniels, I. R., Davies, M., Davies, R. J., Delaney, C. P., Jhw, D. W., Denost, Q., Deutsch, C., Dietz, D., Domingo, S., Dozois, E. J., Duff, M., Eglinton, T., Enrique-Navascues, J. M., Espin-Basany, E., Evans, M. D., Fearnhead, N. S., Flatmark, K., Fleming, F., Frizelle, F. A., Gallego, M. A., Garcia-Granero, E., Garcia-Sabrido, J. L., Gentilini, L., George, M. L., George, V., Ghouti, L., Giner, F., Ginther, N., Glynn, R., Golda, T., Griffiths, B., Harris, D. A., Jaw, H., Hanchanale, V., Harji, D. P., Helewa, R. M., Hellawell, G., Heriot, A. G., Hochman, D., Hohenberger, W., Holm, T., Hompes, R., Jenkins, J. T., Kaffenberger, S., Kandaswamy, G. V., Kapur, S., Kanemitsu, Y., Kelley, S. R., Keller, D. S., Khan, M. S., Kim, H., Kim, H. J., Koh, C. E., Nfm, K., Kokelaar, R., Kristensen, H. O., Kroon, H. M., Kusters, M., Lago, V., Larsen, S. G., Larson, D. W., Law, W. L., Laurberg, S., Lee, P. J., Limbert, M., Lydrup, M. L., Lyons, A., Lynch, A. C., Mantyh, C., Mathis, K. L., Cfs, M., Martling, A., Wjhj, M., Merkel, S., Mehta, A. M., Mcarthur, D. R., Mcdermott, F. D., Mcgrath, J. S., Malde, S., Mirnezami, A., Jrt, M., Morton, J. R., Mullaney, T. G., Negoi, I., Jwm, N., Ng, J. L., Nguyen, B., Nielsen, M. B., Gap, N., Nilsson, P. J., Oliver, A., O'Dwyer, S. T., Palmer, G., Pappou, E., Park, J., Patsouras, D., Pellino, G., Peterson, A. C., Poggioli, G., Proud, D., Quinn, M., Quyn, A., Radwan, R. W., Rasmussen, P. C., Rausa, E., Regenbogen, S. E., Renehan, A., Rocha, R., Rochester, M., Rohila, J., Rothbarth, J., Rottoli, M., Roxburgh, C., Hjt, R., Ryan, E. J., Safar, B., Sagar, P. M., Sahai, A., Saklani, A., Sammour, T., Sayyed, R., Amp, S., Schwarzkopf, E., Scripcariu, V., Selvasekar, C., Shaikh, I., Shida, D., Simpson, A., Smart, N. J., Smart, P., Smith, J. J., Solbakken, A. M., Solomon, M. J., Sorensen, M. M., Steele, S. R., Steffens, D., Stitzenberg, K., Stocchi, L., Stylianides, N. A., Swartling, T., Sumrien, H., Sutton, P. A., Swartking, T., Tan, E. J., Taylor, C., Teras, J., Thurairaja, R., Toh, E. L., Tsarkov, P., Tsukada, Y., Tsukamoto, S., Tuech, J. J., Turner, W. H., Tuynman, J. B., van Ramshorst, G. H., van Zoggel, D., Vasquez-Jimenez, W., Verhoef, C., Vizzielli, G., Elk, V., Uehara, K., Wakeman, C., Warrier, S., Wasmuth, H. H., Weber, K., Weiser, M. R., Jmd, W., Wild, J., Wilson, M., Wolthuis, A., Yano, H., Yip, B., Yip, J., Yoo, R. N., Zappa, M. A., Winter, D. C., Tekkis, P. P., and Surgery

Subjects
Oncology, medicine.medical_specialty, Coronavirus disease 2019 (COVID-19), Locally advanced, MEDLINE, Comorbidity, COVID-19 - advanced - recurrent - primary - rectal cancer, SDG 3 - Good Health and Well-being, Internal medicine, Pandemic, Correspondence, medicine, Combined Modality Therapy, Humans, General, Pandemics, Recurrent Rectal Cancer, Neoplasm Staging, business.industry, Rectal Neoplasms, SARS-CoV-2, COVID-19, medicine.disease, Neoplasm staging, Surgery, Neoplasm Recurrence, Local, business
Published
2020

36. Predicting outcomes of pelvic exenteration using machine learning

Author

Dudurych I., Kelly M. E., Aalbers A. G. J., Abdul Aziz N., Abecasis N., Abraham-Nordling M., Akiyoshi T., Alberda W., Albert M., Andric M., Angenete E., Antoniou A., Auer R., Austin K. K., Aziz O., Baker R. P., Bali M., Baseckas G., Bebington B., Bedford M., Bednarski B. K., Beets G. L., Berg P. L., Beynon J., Biondo S., Boyle K., Bordeianou L., Bremers A. B., Brunner M., Buchwald P., Bui A., Burgess A., Burger J. W. A., Burling D., Burns E., Campain N., Carvalhal S., Castro L., Caycedo-Marulanda A., Chan K. K. L., Chang G. J., Chew M. H., Chok A. K., Chong P., Christensen H. K., Clouston H., Codd M., Collins D., Colquhoun A. J., Corr A., Coscia M., Coyne P. E., Creavin B., Croner R. S., Damjanovic L., Daniels I. R., Davies M., Davies R. J., Delaney C. P., Wilt J. H. W., Denost Q., Deutsch C., Dietz D., Domingo S., Dozois E. J., Duff M., Eglinton T., Enrique-Navascues J. M., Espin-Basany E., Evans M. D., Fearnhead N. S., Flatmark K., Fleming F., Frizelle F. A., Gallego M. A., Garcia-Granero E., Garcia-Sabrido J. L., Gentilini L., George M. L., George V., Ghouti L., Giner F., Ginther N., Glynn R., Golda T., Griffiths B., Harris D. A., Hagemans J. A. W., Hanchanale V., Harji D. P., Helewa R. M., Heriot A. G., Hochman D., Hohenberger W., Holm T., Hompes R., Jenkins J. T., Kaffenberger S., Kandaswamy G. V., Kapur S., Kanemitsu Y., Kelley S. R., Keller D. S., Khan M. S., Kiran R. P., Kim H., Kim H. J., Koh C. E., Kok N. F. M., Kokelaar R., Kontovounisios C., Kristensen H. O., Kroon H. M., Kusters M., Lago V., Larsen S. G., Larson D. W., Law W. L., Laurberg S., Lee P. J., Limbert M., Lydrup M. L., Lyons A., Lynch A. C., Mantyh C., Mathis K. L., Margues C. F. S., Martling A., Meijerink W. J. H. J., Merkel S., Mehta A. M., McArthur D. R., McDermott F. D., McGrath J. S., Malde S., Mirnezami A., Monson J. R. T., Morton J. R., Mullaney T. G., Negoi I., Neto J. W. M., Nguyen B., Nielsen M. B., Nieuwenhuijzen G. A. P., Nilsson P. J., Oliver A., O'Connell P. R., O'Dwyer S. T., Palmer G., Pappou E., Park J., Patsouras D., Pellino G., Peterson A. C., Poggioli G., Proud D., Quinn M., Quyn A., Radwan R. W., Rasheed S., Rasmussen P. C., Regenbogen S. E., Renehan A., Rocha R., Rochester M., Rohila J., Rothbarth J., Rottoli M., Roxburgh C., Rutten H. J. T., Ryan E. J., Safar B., Sagar P. M., Sahai A., Saklani A., Sammour T., Sayyed R., Schizas A. M. P., Schwarzkopf E., Scripcariu V., Selvasekar C., Shaikh I., Shellawell G., Shida D., Simpson A., Smart N. J., Smart P., Smith J. J., Solbakken A. M., Solomon M. J., Sorensen M. M., Steele S. R., Steffens D., Stitzenberg K., Stocchi L., Stylianides N. A., Swartling T., Sumrien H., Sutton P. A., Swartking T., Tan E. J., Taylor C., Tekkis P. P., Teras J., Thurairaja R., Toh E. L., Tsarkov P., Tsukada Y., Tsukamoto S., Tuech J. J., Turner W. H., Tuynman J. B., van Ramshorst G. H., van Zoggel D., Vasquez-Jimenez W., Verhoef C., Vizzielli G., Voogt E. L. K., Uehara K., Wakeman C., Warrier S., Wasmuth H. H., Weber K., Weiser M. R., Wheeler J. M. D., Wild J., Wilson M., Wolthuis A., Yano H., Yip B., Yip J., Yoo R. N., Winter D. C., Dudurych I., Kelly M.E., Aalbers A.G.J., Abdul Aziz N., Abecasis N., Abraham-Nordling M., Akiyoshi T., Alberda W., Albert M., Andric M., Angenete E., Antoniou A., Auer R., Austin K.K., Aziz O., Baker R.P., Bali M., Baseckas G., Bebington B., Bedford M., Bednarski B.K., Beets G.L., Berg P.L., Beynon J., Biondo S., Boyle K., Bordeianou L., Bremers A.B., Brunner M., Buchwald P., Bui A., Burgess A., Burger J.W.A., Burling D., Burns E., Campain N., Carvalhal S., Castro L., Caycedo-Marulanda A., Chan K.K.L., Chang G.J., Chew M.H., Chok A.K., Chong P., Christensen H.K., Clouston H., Codd M., Collins D., Colquhoun A.J., Corr A., Coscia M., Coyne P.E., Creavin B., Croner R.S., Damjanovic L., Daniels I.R., Davies M., Davies R.J., Delaney C.P., Wilt J.H.W., Denost Q., Deutsch C., Dietz D., Domingo S., Dozois E.J., Duff M., Eglinton T., Enrique-Navascues J.M., Espin-Basany E., Evans M.D., Fearnhead N.S., Flatmark K., Fleming F., Frizelle F.A., Gallego M.A., Garcia-Granero E., Garcia-Sabrido J.L., Gentilini L., George M.L., George V., Ghouti L., Giner F., Ginther N., Glynn R., Golda T., Griffiths B., Harris D.A., Hagemans J.A.W., Hanchanale V., Harji D.P., Helewa R.M., Heriot A.G., Hochman D., Hohenberger W., Holm T., Hompes R., Jenkins J.T., Kaffenberger S., Kandaswamy G.V., Kapur S., Kanemitsu Y., Kelley S.R., Keller D.S., Khan M.S., Kiran R.P., Kim H., Kim H.J., Koh C.E., Kok N.F.M., Kokelaar R., Kontovounisios C., Kristensen H.O., Kroon H.M., Kusters M., Lago V., Larsen S.G., Larson D.W., Law W.L., Laurberg S., Lee P.J., Limbert M., Lydrup M.L., Lyons A., Lynch A.C., Mantyh C., Mathis K.L., Margues C.F.S., Martling A., Meijerink W.J.H.J., Merkel S., Mehta A.M., McArthur D.R., McDermott F.D., McGrath J.S., Malde S., Mirnezami A., Monson J.R.T., Morton J.R., Mullaney T.G., Negoi I., Neto J.W.M., Nguyen B., Nielsen M.B., Nieuwenhuijzen G.A.P., Nilsson P.J., Oliver A., O'Connell P.R., O'Dwyer S.T., Palmer G., Pappou E., Park J., Patsouras D., Pellino G., Peterson A.C., Poggioli G., Proud D., Quinn M., Quyn A., Radwan R.W., Rasheed S., Rasmussen P.C., Regenbogen S.E., Renehan A., Rocha R., Rochester M., Rohila J., Rothbarth J., Rottoli M., Roxburgh C., Rutten H.J.T., Ryan E.J., Safar B., Sagar P.M., Sahai A., Saklani A., Sammour T., Sayyed R., Schizas A.M.P., Schwarzkopf E., Scripcariu V., Selvasekar C., Shaikh I., Shellawell G., Shida D., Simpson A., Smart N.J., Smart P., Smith J.J., Solbakken A.M., Solomon M.J., Sorensen M.M., Steele S.R., Steffens D., Stitzenberg K., Stocchi L., Stylianides N.A., Swartling T., Sumrien H., Sutton P.A., Swartking T., Tan E.J., Taylor C., Tekkis P.P., Teras J., Thurairaja R., Toh E.L., Tsarkov P., Tsukada Y., Tsukamoto S., Tuech J.J., Turner W.H., Tuynman J.B., van Ramshorst G.H., van Zoggel D., Vasquez-Jimenez W., Verhoef C., Vizzielli G., Voogt E.L.K., Uehara K., Wakeman C., Warrier S., Wasmuth H.H., Weber K., Weiser M.R., Wheeler J.M.D., Wild J., Wilson M., Wolthuis A., Yano H., Yip B., Yip J., Yoo R.N., Winter D.C., Surgery, Dudurych, I., Kelly, M. E., Aalbers, A. G. J., Abdul Aziz, N., Abecasis, N., Abraham-Nordling, M., Akiyoshi, T., Alberda, W., Albert, M., Andric, M., Angenete, E., Antoniou, A., Auer, R., Austin, K. K., Aziz, O., Baker, R. P., Bali, M., Baseckas, G., Bebington, B., Bedford, M., Bednarski, B. K., Beets, G. L., Berg, P. L., Beynon, J., Biondo, S., Boyle, K., Bordeianou, L., Bremers, A. B., Brunner, M., Buchwald, P., Bui, A., Burgess, A., Burger, J. W. A., Burling, D., Burns, E., Campain, N., Carvalhal, S., Castro, L., Caycedo-Marulanda, A., Chan, K. K. L., Chang, G. J., Chew, M. H., Chok, A. K., Chong, P., Christensen, H. K., Clouston, H., Codd, M., Collins, D., Colquhoun, A. J., Corr, A., Coscia, M., Coyne, P. E., Creavin, B., Croner, R. S., Damjanovic, L., Daniels, I. R., Davies, M., Davies, R. J., Delaney, C. P., Wilt, J. H. W., Denost, Q., Deutsch, C., Dietz, D., Domingo, S., Dozois, E. J., Duff, M., Eglinton, T., Enrique-Navascues, J. M., Espin-Basany, E., Evans, M. D., Fearnhead, N. S., Flatmark, K., Fleming, F., Frizelle, F. A., Gallego, M. A., Garcia-Granero, E., Garcia-Sabrido, J. L., Gentilini, L., George, M. L., George, V., Ghouti, L., Giner, F., Ginther, N., Glynn, R., Golda, T., Griffiths, B., Harris, D. A., Hagemans, J. A. W., Hanchanale, V., Harji, D. P., Helewa, R. M., Heriot, A. G., Hochman, D., Hohenberger, W., Holm, T., Hompes, R., Jenkins, J. T., Kaffenberger, S., Kandaswamy, G. V., Kapur, S., Kanemitsu, Y., Kelley, S. R., Keller, D. S., Khan, M. S., Kiran, R. P., Kim, H., Kim, H. J., Koh, C. E., Kok, N. F. M., Kokelaar, R., Kontovounisios, C., Kristensen, H. O., Kroon, H. M., Kusters, M., Lago, V., Larsen, S. G., Larson, D. W., Law, W. L., Laurberg, S., Lee, P. J., Limbert, M., Lydrup, M. L., Lyons, A., Lynch, A. C., Mantyh, C., Mathis, K. L., Margues, C. F. S., Martling, A., Meijerink, W. J. H. J., Merkel, S., Mehta, A. M., Mcarthur, D. R., Mcdermott, F. D., Mcgrath, J. S., Malde, S., Mirnezami, A., Monson, J. R. T., Morton, J. R., Mullaney, T. G., Negoi, I., Neto, J. W. M., Nguyen, B., Nielsen, M. B., Nieuwenhuijzen, G. A. P., Nilsson, P. J., Oliver, A., O'Connell, P. R., O'Dwyer, S. T., Palmer, G., Pappou, E., Park, J., Patsouras, D., Pellino, G., Peterson, A. C., Poggioli, G., Proud, D., Quinn, M., Quyn, A., Radwan, R. W., Rasheed, S., Rasmussen, P. C., Regenbogen, S. E., Renehan, A., Rocha, R., Rochester, M., Rohila, J., Rothbarth, J., Rottoli, M., Roxburgh, C., Rutten, H. J. T., Ryan, E. J., Safar, B., Sagar, P. M., Sahai, A., Saklani, A., Sammour, T., Sayyed, R., Schizas, A. M. P., Schwarzkopf, E., Scripcariu, V., Selvasekar, C., Shaikh, I., Shellawell, G., Shida, D., Simpson, A., Smart, N. J., Smart, P., Smith, J. J., Solbakken, A. M., Solomon, M. J., Sorensen, M. M., Steele, S. R., Steffens, D., Stitzenberg, K., Stocchi, L., Stylianides, N. A., Swartling, T., Sumrien, H., Sutton, P. A., Swartking, T., Tan, E. J., Taylor, C., Tekkis, P. P., Teras, J., Thurairaja, R., Toh, E. L., Tsarkov, P., Tsukada, Y., Tsukamoto, S., Tuech, J. J., Turner, W. H., Tuynman, J. B., van Ramshorst, G. H., van Zoggel, D., Vasquez-Jimenez, W., Verhoef, C., Vizzielli, G., Voogt, E. L. K., Uehara, K., Wakeman, C., Warrier, S., Wasmuth, H. H., Weber, K., Weiser, M. R., Wheeler, J. M. D., Wild, J., Wilson, M., Wolthuis, A., Yano, H., Yip, B., Yip, J., Yoo, R. N., and Winter, D. C.

Subjects
Artificial intelligence, medicine.medical_treatment, Machine learning, computer.software_genre, Logistic regression, Tumours of the digestive tract Radboud Institute for Health Sciences [Radboudumc 14], SDG 3 - Good Health and Well-being, Medicine, Humans, Pelvic exenteration, Receiver operating characteristic, Artificial neural network, business.industry, Rectal Neoplasms, Deep learning, Gastroenterology, Prognosis, pelvic exenteration, Support vector machine, machine learning, Test set, colorectal surgery, Neoplasm Recurrence, Local, business, computer, Predictive modelling, artificial neural network
Abstract

Aim: We aim to compare machine learning with neural network performance in predicting R0 resection (R0), length of stay >14days (LOS), major complication rates at 30days postoperatively (COMP) and survival greater than 1 year (SURV) for patients having pelvic exenteration for locally advanced and recurrent rectal cancer. Method: A deep learning computer was built and the programming environment was established. The PelvEx Collaborative database was used which contains anonymized data on patients who underwent pelvic exenteration for locally advanced or locally recurrent colorectal cancer between 2004 and 2014. Logistic regression, a support vector machine and an artificial neural network (ANN) were trained. Twenty per cent of the data were used as a test set for calculating prediction accuracy for R0, LOS, COMP and SURV. Model performance was measured by plotting receiver operating characteristic (ROC) curves and calculating the area under the ROC curve (AUROC). Results: Machine learning models and ANNs were trained on 1147 cases. The AUROC for all outcome predictions ranged from 0.608 to 0.793 indicating modest to moderate predictive ability. The models performed best at predicting LOS >14days with an AUROC of 0.793 using preoperative and operative data. Visualized logistic regression model weights indicate a varying impact of variables on the outcome in question. Conclusion: This paper highlights the potential for predictive modelling of large international databases. Current data allow moderate predictive ability of both complex ANNs and more classic methods.

Published
2020

37. Age dating of an early Milky Way merger via asteroseismology of the naked-eye star ν Indi

Author

William J. Chaplin, Aldo M. Serenelli, Andrea Miglio, Thierry Morel, J. Ted Mackereth, Fiorenzo Vincenzo, Hans Kjeldsen, Sarbani Basu, Warrick H. Ball, Amalie Stokholm, Kuldeep Verma, Jakob Rørsted Mosumgaard, Victor Silva Aguirre, Anwesh Mazumdar, Pritesh Ranadive, H. M. Antia, Yveline Lebreton, Joel Ong, Thierry Appourchaux, Timothy R. Bedding, Jørgen Christensen-Dalsgaard, Orlagh Creevey, Rafael A. García, Rasmus Handberg, Daniel Huber, Steven D. Kawaler, Mikkel N. Lund, Travis S. Metcalfe, Keivan G. Stassun, Michäel Bazot, Paul G. Beck, Keaton J. Bell, Maria Bergemann, Derek L. Buzasi, Othman Benomar, Diego Bossini, Lisa Bugnet, Tiago L. Campante, Zeynep Çelik Orhan, Enrico Corsaro, Lucía González-Cuesta, Guy R. Davies, Maria Pia Di Mauro, Ricky Egeland, Yvonne P. Elsworth, Patrick Gaulme, Hamed Ghasemi, Zhao Guo, Oliver J. Hall, Amir Hasanzadeh, Saskia Hekker, Rachel Howe, Jon M. Jenkins, Antonio Jiménez, René Kiefer, James S. Kuszlewicz, Thomas Kallinger, David W. Latham, Mia S. Lundkvist, Savita Mathur, Josefina Montalbán, Benoit Mosser, Andres Moya Bedón, Martin Bo Nielsen, Sibel Örtel, Ben M. Rendle, George R. Ricker, Thaíse S. Rodrigues, Ian W. Roxburgh, Hossein Safari, Mathew Schofield, Sara Seager, Barry Smalley, Dennis Stello, Róbert Szabó, Jamie Tayar, Nathalie Themeßl, Alexandra E. L. Thomas, Roland K. Vanderspek, Walter E. van Rossem, Mathieu Vrard, Achim Weiss, Timothy R. White, Joshua N. Winn, Mutlu Yıldız, European Commission, European Research Council, Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), Generalitat de Catalunya, Chaplin W.J., Serenelli A.M., Miglio A., Morel T., Mackereth J.T., Vincenzo F., Kjeldsen H., Basu S., Ball W.H., Stokholm A., Verma K., Mosumgaard J.R., Silva Aguirre V., Mazumdar A., Ranadive P., Antia H.M., Lebreton Y., Ong J., Appourchaux T., Bedding T.R., Christensen-Dalsgaard J., Creevey O., Garcia R.A., Handberg R., Huber D., Kawaler S.D., Lund M.N., Metcalfe T.S., Stassun K.G., Bazot M., Beck P.G., Bell K.J., Bergemann M., Buzasi D.L., Benomar O., Bossini D., Bugnet L., Campante T.L., Orhan Z.C., Corsaro E., Gonzalez-Cuesta L., Davies G.R., Di Mauro M.P., Egeland R., Elsworth Y.P., Gaulme P., Ghasemi H., Guo Z., Hall O.J., Hasanzadeh A., Hekker S., Howe R., Jenkins J.M., Jimenez A., Kiefer R., Kuszlewicz J.S., Kallinger T., Latham D.W., Lundkvist M.S., Mathur S., Montalban J., Mosser B., Bedon A.M., Nielsen M.B., Ortel S., Rendle B.M., Ricker G.R., Rodrigues T.S., Roxburgh I.W., Safari H., Schofield M., Seager S., Smalley B., Stello D., Szabo R., Tayar J., Themessl N., Thomas A.E.L., Vanderspek R.K., van Rossem W.E., Vrard M., Weiss A., White T.R., Winn J.N., Yildiz M., Institut d'astrophysique spatiale (IAS), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Department of Psychology, St John's University, Institute of Space Sciences [Barcelona] (ICE-CSIC), Spanish National Research Council [Madrid] (CSIC), School of Physics and Astronomy, University of Birmingham [Birmingham], Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique (CERFACS), Danish AsteroSeismology Centre (DASC), Aarhus University [Aarhus], Department of Astronomy, Yale University [New Haven], Max-Planck-Institut für Astrophysik (MPA), Max-Planck-Gesellschaft, Institut de Physique de Rennes (IPR), Université de Rennes (UR)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'études spatiales et d'instrumentation en astrophysique = Laboratory of Space Studies and Instrumentation in Astrophysics (LESIA), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Université Paris-Sud - Paris 11 (UP11)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Centre National d’Études Spatiales [Paris] (CNES), Sydney Institute for Astronomy (SIfA), The University of Sydney, Joseph Louis LAGRANGE (LAGRANGE), Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de la Côte d'Azur, COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS), Research institute of Computer Vision and Robotics [Girona] (VICOROB), Universitat de Girona (UdG), Department of Physics and Astronomy [Aarhus], Department of Physics and Astronomy [Iowa City], University of Iowa [Iowa City], Astrophysique Interprétation Modélisation (AIM (UMR7158 / UMR_E_9005 / UM_112)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Istituto di Astrofisica Spaziale e Fisica cosmica - Roma (IASF-Roma), Istituto Nazionale di Astrofisica (INAF), Laboratoire d'études spatiales et d'instrumentation en astrophysique (LESIA), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), NASA Ames Research Center (ARC), Centre for Automation and Robotics (CAR), Consejo Superior de Investigaciones Científicas [Madrid] (CSIC)-Universidad Politécnica de Madrid (UPM), Kiepenheuer-Institut für Sonnenphysik (KIS), Stellar Astrophysics Centre [Aarhus] (SAC), Instituut voor Sterrenkunde [Leuven], Catholic University of Leuven - Katholieke Universiteit Leuven (KU Leuven), High Altitude Observatory (HAO), National Center for Atmospheric Research [Boulder] (NCAR), Département des Sciences et Gestion de l'Environnement/Océanologie [Liège], Université de Liège, Center for Space Research [Cambridge] (CSR), Massachusetts Institute of Technology (MIT), High Speed Networks Laboratory, Dept. of Telecommunications and Media Informatics, Budapest University of Technology and Economics [Budapest] (BME), Department of Astronomy (Ohio State University), Ohio State University [Columbus] (OSU), Observatoire de Paris, Université Paris sciences et lettres (PSL), Ege Üniversitesi, CERFACS [Toulouse], Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'études spatiales et d'instrumentation en astrophysique (LESIA (UMR_8109)), PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS), Université Paris-Sud - Paris 11 (UP11)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Université Nice Sophia Antipolis (... - 2019) (UNS), Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA)-Observatoire de la Côte d'Azur, Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS), Astrophysique Interprétation Modélisation (AIM (UMR_7158 / UMR_E_9005 / UM_112)), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7), Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC), Universidad Politécnica de Madrid (UPM)-Consejo Superior de Investigaciones Científicas [Spain] (CSIC), PSL Research University (PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Observatoire de la Côte d'Azur, and COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)

Subjects
010504 meteorology & atmospheric sciences, Milky Way, Population, GAIA, Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, MASS, CHEMICAL-COMPOSITION, Q1, 01 natural sciences, Asteroseismology, 0103 physical sciences, QB460, Satellite galaxy, STELLAR HALOES, Astrophysics::Solar and Stellar Astrophysics, 10. No inequality, education, 010303 astronomy & astrophysics, QB600, QC, Astrophysics::Galaxy Astrophysics, ComputingMilieux_MISCELLANEOUS, 0105 earth and related environmental sciences, Dwarf galaxy, QB, Physics, [PHYS]Physics [physics], education.field_of_study, [SDU.ASTR]Sciences of the Universe [physics]/Astrophysics [astro-ph], ACCRETION HISTORY, Astronomy and Astrophysics, DISC, Astrophysics - Astrophysics of Galaxies, Galaxy, MODEL, Stars, Astrophysics - Solar and Stellar Astrophysics, DARK-MATTER HALOES, ROTATION, Halo, Astrophysics::Earth and Planetary Astrophysics, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], SOLAR-LIKE OSCILLATIONS, QB799
Abstract

This paper includes data collected by the TESS mission, which are publicly available from the Mikulski Archive for Space Telescopes (MAST). et al., Over the course of its history, the Milky Way has ingested multiple smaller satellite galaxies. Although these accreted stellar populations can be forensically identified as kinematically distinct structures within the Galaxy, it is difficult in general to date precisely the age at which any one merger occurred. Recent results have revealed a population of stars that were accreted via the collision of a dwarf galaxy, called Gaia–Enceladus, leading to substantial pollution of the chemical and dynamical properties of the Milky Way. Here we identify the very bright, naked-eye star ν Indi as an indicator of the age of the early in situ population of the Galaxy. We combine asteroseismic, spectroscopic, astrometric and kinematic observations to show that this metal-poor, alpha-element-rich star was an indigenous member of the halo, and we measure its age to be 11.0±0.7 (stat) ±0.8 (sys) billion years. The star bears hallmarks consistent with having been kinematically heated by the Gaia–Enceladus collision. Its age implies that the earliest the merger could have begun was 11.6 and 13.2 billion years ago, at 68% and 95% confidence, respectively. Computations based on hierarchical cosmological models slightly reduce the above limits., J.M. acknowledge support from the ERC Consolidator Grant funding scheme (project ASTEROCHRONOMETRY, grant agreement number 772293). A.M.S. is partially supported by the Spanish Government (ESP2017-82674-R) and Generalitat de Catalunya (2017-SGR-1131). T.L.C. acknowledges support from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement number 792848 (PULSATION). K.J.B., S.H., J.S.K. and N.T. are supported by the European Research Council under the European Community’s Seventh Framework Programme (FP7/2007-2013)/ERC grant agreement number 338251 (StellarAges). E.C. is funded by the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement number 664931. L.G.-C. acknowledges support from the MINECO FPI-SO doctoral research project SEV-2015-0548-17-2 and predoctoral contract BES-2017-082610. S.M. acknowledges support from the Spanish ministry through the Ramon y Cajal fellowship number RYC-2015-17697. This work was supported by FEDER through COMPETE2020 (POCI-01-0145-FEDER-030389. A.M.B. acknowledges funding from the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No 749962 (project THOT).

Published
2020
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38. Solar cycle variation of νmax in helioseismic data and its implications for asteroseismology

Author

Steven J. Hale, Yvonne Elsworth, Martin Bo Nielsen, William J. Chaplin, Warrick H. Ball, Lucas S. Viani, Andrea Miglio, Guy R. Davies, Sarbani Basu, Rachel Howe, Howe R., Chaplin W.J., Basu S., Ball W.H., Davies G.R., Elsworth Y., Hale S.J., Miglio A., Nielsen M.B., and Viani L.S.

Subjects
010504 meteorology & atmospheric sciences, asteroseismology, Astrophysics::Cosmology and Extragalactic Astrophysics, Astrophysics, 01 natural sciences, Asteroseismology, Spectral line, Photometry (optics), Sun: activity, 0103 physical sciences, Astrophysics::Solar and Stellar Astrophysics, High activity, activity [Sun], helioseismology [Sun], 010303 astronomy & astrophysics, Scaling, Sun: helioseismology, 0105 earth and related environmental sciences, Physics, Astronomy and Astrophysics, Doppler velocity, Astrophysics - Solar and Stellar Astrophysics, Space and Planetary Science, Physics::Space Physics, Significant positive correlation, Astrophysics::Earth and Planetary Astrophysics
Abstract

The frequency, $\nu_{\rm max}$, at which the envelope of pulsation power peaks for solar-like oscillators is an important quantity in asteroseismology. We measure $\nu_{\rm max}$ for the Sun using 25 years of Sun-as-a-Star Doppler velocity observations with the Birmingham Solar-Oscillations Network (BiSON), by fitting a simple model to binned power spectra of the data. We also apply the fit to Sun-as-a-Star Doppler velocity data from GONG and GOLF, and photometry data from VIRGO/SPM on the ESA/NASA SOHO spacecraft. We discover a weak but nevertheless significant positive correlation of the solar $\nu_{\rm max}$ with solar activity. The uncovered shift between low and high activity, of $\simeq 25\,\rm \mu Hz$, translates to an uncertainty of 0.8 per cent in radius and 2.4 per cent in mass, based on direct use of asteroseismic scaling relations calibrated to the Sun. The mean $\nu_{\rm max}$ in the different datasets is also clearly offset in frequency. Our results flag the need for caution when using $\nu_{\rm max}$ in asteroseismology., Comment: 6 pages, 4 figures, published in MNRAS Letters, 2020, vol 493, pages L49 - 53 Corrected error in metadata list of authors

Published
2020
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