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210. The FAST Galactic Plane Pulsar Snapshot survey: I. Project design and pulsar discoveries ⋆

Author

Han, J. L., primary, Wang, Chen, additional, Wang, P. F., additional, Wang, Tao, additional, Zhou, D. J., additional, Sun, Jing-Hai, additional, Yan, Yi, additional, Su, Wei-Qi, additional, Jing, Wei-Cong, additional, Chen, Xue, additional, Gao, X. Y., additional, Hou, Li-Gang, additional, Xu, Jun, additional, Lee, K. J., additional, Wang, Na, additional, Jiang, Peng, additional, Xu, Ren-Xin, additional, Yan, Jun, additional, Gan, Heng-Qian, additional, Guan, Xin, additional, Huang, Wen-Jun, additional, Jiang, Jin-Chen, additional, Li, Hui, additional, Men, Yun-Peng, additional, Sun, Chun, additional, Wang, Bo-Jun, additional, Wang, H. G., additional, Wang, Shuang-Qiang, additional, Xie, Jin-Tao, additional, Xu, Heng, additional, Yao, Rui, additional, You, Xiao-Peng, additional, Yu, D. J., additional, Yuan, Jian-Ping, additional, Yuen, Rai, additional, Zhang, Chun-Feng, additional, and Zhu, Yan, additional

Published
2021
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211. Ferrimagnetic spintronics

Author

Kim, S.K., Beach, G.S.D., Lee, K.-J., Rasing, T.H.M., Yang, H., Kim, S.K., Beach, G.S.D., Lee, K.-J., Rasing, T.H.M., and Yang, H.

Abstract

Contains fulltext : 245781.pdf (Publisher’s version ) (Closed access)

Published
2021

212. Development of imaging-based risk scores for prediction of intracranial haemorrhage and ischaemic stroke in patients taking antithrombotic therapy after ischaemic stroke or transient ischaemic attack: a pooled analysis of individual patient data from cohort studies.

Author

Best J.G., Ambler G., Wilson D., Lee K.-J., Lim J.-S., Shiozawa M., Koga M., Li L., Lovelock C., Chabriat H., Hennerici M., Wong Y.K., Mak H.K.F., Prats-Sanchez L., Martinez-Domeno A., Inamura S., Yoshifuji K., Arsava E.M., Horstmann S., Purrucker J., Lam B.Y.K., Wong A., Kim Y.D., Song T.-J., Lemmens R., Eppinger S., Gattringer T., Uysal E., Tanriverdi Z., Bornstein N.M., Ben Assayag E., Hallevi H., Molad J., Nishihara M., Tanaka J., Coutts S.B., Polymeris A., Wagner B., Seiffge D.J., Lyrer P., Algra A., Kappelle L.J., Al-Shahi Salman R., Jager H.R., Lip G.Y.H., Fischer U., El-Koussy M., Mas J.-L., Legrand L., Karayiannis C., Phan T., Gunkel S., Christ N., Abrigo J., Leung T., Chu W., Chappell F., Makin S., Hayden D., Williams D.J., Mess W.H., Nederkoorn P.J., Barbato C., Browning S., Wiegertjes K., Tuladhar A.M., Maaijwee N., Guevarra A.C., Yatawara C., Mendyk A.-M., Delmaire C., Kohler S., van Oostenbrugge R., Zhou Y., Xu C., Hilal S., Gyanwali B., Chen C., Lou M., Staals J., Bordet R., Kandiah N., de Leeuw F.-E., Simister R., Hendrikse J., Kelly P.J., Wardlaw J., Soo Y., Fluri F., Srikanth V., Calvet D., Jung S., Kwa V.I.H., Engelter S.T., Peters N., Smith E.E., Hara H., Yakushiji Y., Orken D.N., Fazekas F., Thijs V., Heo J.H., Mok V., Veltkamp R., Ay H., Imaizumi T., Gomez-Anson B., Lau K.K., Jouvent E., Rothwell P.M., Toyoda K., Bae H.-J., Marti-Fabregas J., Werring D.J., Harkness K., Shaw L., Sword J., Mohd Nor A., Sharma P., Kelly D., Harrington F., Randall M., Smith M., Mahawish K., Elmarim A., Esisi B., Cullen C., Nallasivam A., Price C., Barry A., Roffe C., Coyle J., Hassan A., Birns J., Cohen D., Sekaran L., Parry-Jones A., Parry A., Hargroves D., Proschel H., Datta P., Darawil K., Manoj A., Burn M., Patterson C., Giallombardo E., Smyth N., Mansoor S., Anwar I., Marsh R., Ispoglou S., Chadha D., Prabhakaran M., Meenakishundaram S., O'Connell J., Scott J., Krishnamurthy V., Aghoram P., McCormick M., Sprigg N., O'Mahony P., Cooper M., Choy L., Wilkinson P., Leach S., Caine S., Burger I., Gunathilagan G., Guyler P., Emsley H., Davis M., Manawadu D., Pasco K., Mamun M., Luder R., Sajid M., Okwera J., Warburton E., Saastamoinen K., England T., Putterill J., Flossman E., Power M., Dani K., Mangion D., Suman A., Corrigan J., Lawrence E., Vahidassr D., Shakeshaft C., Brown M., Charidimou A., Cohen H., Banerjee G., Houlden H., White M., Yousry T., Flossmann E., Muir K., Gratz P., Mattle H., Panos L., Korczyn A., Kliper E., Maeder P., Gass A., Pachai C., Bracoub L., Douste-Blazy M.-Y., Fratacci M.D., Vicaut E., Sato S., Miwa K., Fujita K., Ide T., Ma H., Ly J., Singhal S., Chandra R., Slater L.-A., Soufan C., Moran C., Traenka C., Thilemann S., Fladt J., Gensicke H., Bonati L., Kim B.J., Han M.-K., Kang J., Ko E., Yang M.H., Jang M.S., Murphy S., Carty F., Akijian L., Thornton J., Schembri M., Douven E., Delgado-Mederos R., Marin R., Camps-Renom P., Guisado-Alonso D., Nunez F., Medrano-Martorell S., Merino E., Iida K., Ikeda S., Irie H., Demirelli D.S., Medanta J.M., Zerna C., Hernandez M.V., Armitage P., Heye A., Munoz-Maniega S., Sakka E., Thrippleton M., Dennis M., Beigneux Y., Silva M., Venketasubramanian N., Ho S.L., Cheung R.T.F., Chan K.H., Teo K.C., Hui E., Kwan J.S.K., Chang R., Tse M.Y., Hoi C.P., Chan C.Y., Chan O.L., Cheung R.H.K., Wong E.K.M., Leung K.T., Tsang S.F., Ip H.L., Ma S.H., Ma K., Fong W.C., Li S.H., Li R., Ng P.W., Wong K.K., Liu W., Wong L., Ramos L., De Schryver E., Jobsis J., van der Sande J., Brouwers P., Roos Y., Stam J., Bakker S., Verbiest H., Schoonewille W., Linn C., Hertzberger L., van Gemert M., Berntsen P., Van Dam-Nolen D., Kooi M.E., Van der Lugt A., Koudstaal P., Leff A., Ward N., Nachev P., Perry R., Ozkan H., Mitchell J., Best J.G., Ambler G., Wilson D., Lee K.-J., Lim J.-S., Shiozawa M., Koga M., Li L., Lovelock C., Chabriat H., Hennerici M., Wong Y.K., Mak H.K.F., Prats-Sanchez L., Martinez-Domeno A., Inamura S., Yoshifuji K., Arsava E.M., Horstmann S., Purrucker J., Lam B.Y.K., Wong A., Kim Y.D., Song T.-J., Lemmens R., Eppinger S., Gattringer T., Uysal E., Tanriverdi Z., Bornstein N.M., Ben Assayag E., Hallevi H., Molad J., Nishihara M., Tanaka J., Coutts S.B., Polymeris A., Wagner B., Seiffge D.J., Lyrer P., Algra A., Kappelle L.J., Al-Shahi Salman R., Jager H.R., Lip G.Y.H., Fischer U., El-Koussy M., Mas J.-L., Legrand L., Karayiannis C., Phan T., Gunkel S., Christ N., Abrigo J., Leung T., Chu W., Chappell F., Makin S., Hayden D., Williams D.J., Mess W.H., Nederkoorn P.J., Barbato C., Browning S., Wiegertjes K., Tuladhar A.M., Maaijwee N., Guevarra A.C., Yatawara C., Mendyk A.-M., Delmaire C., Kohler S., van Oostenbrugge R., Zhou Y., Xu C., Hilal S., Gyanwali B., Chen C., Lou M., Staals J., Bordet R., Kandiah N., de Leeuw F.-E., Simister R., Hendrikse J., Kelly P.J., Wardlaw J., Soo Y., Fluri F., Srikanth V., Calvet D., Jung S., Kwa V.I.H., Engelter S.T., Peters N., Smith E.E., Hara H., Yakushiji Y., Orken D.N., Fazekas F., Thijs V., Heo J.H., Mok V., Veltkamp R., Ay H., Imaizumi T., Gomez-Anson B., Lau K.K., Jouvent E., Rothwell P.M., Toyoda K., Bae H.-J., Marti-Fabregas J., Werring D.J., Harkness K., Shaw L., Sword J., Mohd Nor A., Sharma P., Kelly D., Harrington F., Randall M., Smith M., Mahawish K., Elmarim A., Esisi B., Cullen C., Nallasivam A., Price C., Barry A., Roffe C., Coyle J., Hassan A., Birns J., Cohen D., Sekaran L., Parry-Jones A., Parry A., Hargroves D., Proschel H., Datta P., Darawil K., Manoj A., Burn M., Patterson C., Giallombardo E., Smyth N., Mansoor S., Anwar I., Marsh R., Ispoglou S., Chadha D., Prabhakaran M., Meenakishundaram S., O'Connell J., Scott J., Krishnamurthy V., Aghoram P., McCormick M., Sprigg N., O'Mahony P., Cooper M., Choy L., Wilkinson P., Leach S., Caine S., Burger I., Gunathilagan G., Guyler P., Emsley H., Davis M., Manawadu D., Pasco K., Mamun M., Luder R., Sajid M., Okwera J., Warburton E., Saastamoinen K., England T., Putterill J., Flossman E., Power M., Dani K., Mangion D., Suman A., Corrigan J., Lawrence E., Vahidassr D., Shakeshaft C., Brown M., Charidimou A., Cohen H., Banerjee G., Houlden H., White M., Yousry T., Flossmann E., Muir K., Gratz P., Mattle H., Panos L., Korczyn A., Kliper E., Maeder P., Gass A., Pachai C., Bracoub L., Douste-Blazy M.-Y., Fratacci M.D., Vicaut E., Sato S., Miwa K., Fujita K., Ide T., Ma H., Ly J., Singhal S., Chandra R., Slater L.-A., Soufan C., Moran C., Traenka C., Thilemann S., Fladt J., Gensicke H., Bonati L., Kim B.J., Han M.-K., Kang J., Ko E., Yang M.H., Jang M.S., Murphy S., Carty F., Akijian L., Thornton J., Schembri M., Douven E., Delgado-Mederos R., Marin R., Camps-Renom P., Guisado-Alonso D., Nunez F., Medrano-Martorell S., Merino E., Iida K., Ikeda S., Irie H., Demirelli D.S., Medanta J.M., Zerna C., Hernandez M.V., Armitage P., Heye A., Munoz-Maniega S., Sakka E., Thrippleton M., Dennis M., Beigneux Y., Silva M., Venketasubramanian N., Ho S.L., Cheung R.T.F., Chan K.H., Teo K.C., Hui E., Kwan J.S.K., Chang R., Tse M.Y., Hoi C.P., Chan C.Y., Chan O.L., Cheung R.H.K., Wong E.K.M., Leung K.T., Tsang S.F., Ip H.L., Ma S.H., Ma K., Fong W.C., Li S.H., Li R., Ng P.W., Wong K.K., Liu W., Wong L., Ramos L., De Schryver E., Jobsis J., van der Sande J., Brouwers P., Roos Y., Stam J., Bakker S., Verbiest H., Schoonewille W., Linn C., Hertzberger L., van Gemert M., Berntsen P., Van Dam-Nolen D., Kooi M.E., Van der Lugt A., Koudstaal P., Leff A., Ward N., Nachev P., Perry R., Ozkan H., and Mitchell J.

Abstract

Background: Balancing the risks of recurrent ischaemic stroke and intracranial haemorrhage is important for patients treated with antithrombotic therapy after ischaemic stroke or transient ischaemic attack. However, existing predictive models offer insufficient performance, particularly for assessing the risk of intracranial haemorrhage. We aimed to develop new risk scores incorporating clinical variables and cerebral microbleeds, an MRI biomarker of intracranial haemorrhage and ischaemic stroke risk. Method(s): We did a pooled analysis of individual-patient data from the Microbleeds International Collaborative Network (MICON), which includes 38 hospital-based prospective cohort studies from 18 countries. All studies recruited participants with previous ischaemic stroke or transient ischaemic attack, acquired baseline MRI allowing quantification of cerebral microbleeds, and followed-up participants for ischaemic stroke and intracranial haemorrhage. Participants not taking antithrombotic drugs were excluded. We developed Cox regression models to predict the 5-year risks of intracranial haemorrhage and ischaemic stroke, selecting candidate predictors on biological relevance and simplifying models using backward elimination. We derived integer risk scores for clinical use. We assessed model performance in internal validation, adjusted for optimism using bootstrapping. The study is registered on PROSPERO, CRD42016036602. Finding(s): The included studies recruited participants between Aug 28, 2001, and Feb 4, 2018. 15 766 participants had follow-up for intracranial haemorrhage, and 15 784 for ischaemic stroke. Over a median follow-up of 2 years, 184 intracranial haemorrhages and 1048 ischaemic strokes were reported. The risk models we developed included cerebral microbleed burden and simple clinical variables. Optimism-adjusted c indices were 0.73 (95% CI 0.69-0.77) with a calibration slope of 0.94 (0.81-1.06) for the intracranial haemorrhage model and 0.63 (0.62-0.65) w

Published
2021

213. Psychiatric disorders in individuals born very preterm / very low-birth weight:an individual participant data (IPD) meta-analysis

Author

Anderson, P. J. (Peter J.), de Miranda, D. M. (Debora Marques), Albuquerque, M. R. (Maicon Rodrigues), Indredavik, M. S. (Marit Sæbø), Evensen, K. A. (Kari Anne I.), Van Lieshout, R. (Ryan), Saigal, S. (Saroj), Taylor, H. G. (H. Gerry), Räikkönen, K. (Katri), Kajantie, E. (Eero), Marlow, N. (Neil), Johnson, S. (Samantha), Woodward, L. J. (Lianne J.), Austin, N. (Nicola), Nosarti, C. (Chiara), Jäkel, J. (Julia), Wolke, D. (Dieter), Cheong, J. L. (Jeanie L. Y.), Burnett, A. (Alice), Treyvaud, K. (Karli), Lee, K. J. (Katherine J.), Doyle, L. W. (Lex W.), Anderson, P. J. (Peter J.), de Miranda, D. M. (Debora Marques), Albuquerque, M. R. (Maicon Rodrigues), Indredavik, M. S. (Marit Sæbø), Evensen, K. A. (Kari Anne I.), Van Lieshout, R. (Ryan), Saigal, S. (Saroj), Taylor, H. G. (H. Gerry), Räikkönen, K. (Katri), Kajantie, E. (Eero), Marlow, N. (Neil), Johnson, S. (Samantha), Woodward, L. J. (Lianne J.), Austin, N. (Nicola), Nosarti, C. (Chiara), Jäkel, J. (Julia), Wolke, D. (Dieter), Cheong, J. L. (Jeanie L. Y.), Burnett, A. (Alice), Treyvaud, K. (Karli), Lee, K. J. (Katherine J.), and Doyle, L. W. (Lex W.)

Abstract

Background: Data on psychiatric disorders in survivors born very preterm (VP; <32 weeks) or very low birthweight (VLBW; <1500 g) are sparse. We compared rates of psychiatric diagnoses between VP/VLBW and term-born, normal birthweight (term/NBW) control participants. Methods: This individual participant data (IPD) meta-analysis pooled data from eligible groups in the Adults born Preterm International Collaboration (APIC). Inclusion criteria included: 1) VP/VLBW group (birth weight <1500 g and/or gestational age <32 weeks), 2) normal birth weight/term-born control group (birth weight >2499 g and/or gestational age ≥37 weeks), and 3) structured measure of psychiatric diagnoses using DSM or ICD criteria. Diagnoses of interest were Attention Deficit Hyperactivity Disorder (ADHD), Autism Spectrum Disorder (ASD), Anxiety Disorder, Mood Disorder, Disruptive Behaviour Disorder (DBD), Eating Disorder, and Psychotic Disorder. A systematic search for eligible studies was conducted (PROSPERO Registration Number 47555). Findings: Data were obtained from 10 studies (1385 VP/VLBW participants, 1780 controls), using a range of instruments and approaches to assigning diagnoses. Those born VP/VLBW had ten times higher odds of meeting criteria for ASD (odds ratio [OR] 10·6, 95% confidence interval [CI] 2·50, 44·7), five times higher odds of meeting criteria for ADHD (OR 5·42, 95% CI 3·10, 9·46), twice the odds of meeting criteria for Anxiety Disorder (OR 1·91, 95% CI 1·36, 2·69), and 1·5 times the odds of meeting criteria for Mood Disorder (OR 1·51, 95% CI 1·08, 2·12) than controls. This pattern of findings was consistent within age (<18 years vs. ≥18 years) and sex subgroups. Interpretation: Our data suggests that individuals born VP/VLBW might have higher odds of meeting criteria for certain psychiatric disorders through childhood and into adulthood than term/NBW controls. Further research is needed to corroborate our results and identify factors associated

Published
2021

228. Fast radio burst detection in the presence of coloured noise

Author

Zhang, C F, primary, Xu, J W, additional, Men, Y P, additional, Deng, X H, additional, Xu, Heng, additional, Jiang, J C, additional, Wang, B J, additional, Lee, K J, additional, Li, J, additional, Yuan, J P, additional, Liu, Z Y, additional, Huang, Y X, additional, Xu, Y H, additional, Li, Z X, additional, Hao, L F, additional, Luo, J T, additional, Dai, S, additional, Luo, R, additional, Zakie, Hassan, additional, and Ma, Z Y, additional

Published
2021
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234. A pulsar-based time-scale from the International Pulsar Timing Array

Author

Hobbs, G, Guo, L, Caballero, R, Coles, W, Lee, K, Manchester, R, Reardon, D, Matsakis, D, Tong, M, Arzoumanian, Z, Bailes, M, Bassa, C, Bhat, N, Brazier, A, Burke-Spolaor, S, Champion, D, Chatterjee, S, Cognard, I, Dai, S, Desvignes, G, Dolch, T, Ferdman, R, Graikou, E, Guillemot, L, Janssen, G, Keith, M, Kerr, M, Kramer, M, Lam, M, Liu, K, Lyne, A, Lazio, T, Lynch, R, Mckee, J, Mclaughlin, M, Mingarelli, C, Nice, D, Osłowski, S, Pennucci, T, Perera, B, Perrodin, D, Possenti, A, Russell, C, Sanidas, S, Sesana, A, Shaifullah, G, Shannon, R, Simon, J, Spiewak, R, Stairs, I, Stappers, B, Swiggum, J, Taylor, S, Theureau, G, Toomey, L, van Haasteren, R, Wang, J, Wang, Y, Zhu, X, Hobbs, G., Guo, L., Caballero, R. N., Coles, W., Lee, K. J., Manchester, R. N., Reardon, D. J., Matsakis, D., Tong, M. L., Arzoumanian, Z., Bailes, M., Bassa, C. G., Bhat, N. D. R., Brazier, A., Burke-Spolaor, S., Champion, D. J., Chatterjee, S., Cognard, I., Dai, S., Desvignes, G., Dolch, T., Ferdman, R. D., Graikou, E., Guillemot, L., Janssen, G. H., Keith, M. J., Kerr, M., Kramer, M., Lam, M. T., Liu, K., Lyne, A., Lazio, T. J. W., Lynch, R., McKee, J. W., McLaughlin, M. A., Mingarelli, C. M. F., Nice, D. J., Osłowski, S., Pennucci, T. T., Perera, B. B. P., Perrodin, D., Possenti, A., Russell, C. J., Sanidas, S., Sesana, A., Shaifullah, G., Shannon, R. M., Simon, J., Spiewak, R., Stairs, I. H., Stappers, B. W., Swiggum, J. K., Taylor, S. R., Theureau, G., Toomey, L., van Haasteren, R., Wang, J. B., Wang, Y., Zhu, X. J., Hobbs, G, Guo, L, Caballero, R, Coles, W, Lee, K, Manchester, R, Reardon, D, Matsakis, D, Tong, M, Arzoumanian, Z, Bailes, M, Bassa, C, Bhat, N, Brazier, A, Burke-Spolaor, S, Champion, D, Chatterjee, S, Cognard, I, Dai, S, Desvignes, G, Dolch, T, Ferdman, R, Graikou, E, Guillemot, L, Janssen, G, Keith, M, Kerr, M, Kramer, M, Lam, M, Liu, K, Lyne, A, Lazio, T, Lynch, R, Mckee, J, Mclaughlin, M, Mingarelli, C, Nice, D, Osłowski, S, Pennucci, T, Perera, B, Perrodin, D, Possenti, A, Russell, C, Sanidas, S, Sesana, A, Shaifullah, G, Shannon, R, Simon, J, Spiewak, R, Stairs, I, Stappers, B, Swiggum, J, Taylor, S, Theureau, G, Toomey, L, van Haasteren, R, Wang, J, Wang, Y, Zhu, X, Hobbs, G., Guo, L., Caballero, R. N., Coles, W., Lee, K. J., Manchester, R. N., Reardon, D. J., Matsakis, D., Tong, M. L., Arzoumanian, Z., Bailes, M., Bassa, C. G., Bhat, N. D. R., Brazier, A., Burke-Spolaor, S., Champion, D. J., Chatterjee, S., Cognard, I., Dai, S., Desvignes, G., Dolch, T., Ferdman, R. D., Graikou, E., Guillemot, L., Janssen, G. H., Keith, M. J., Kerr, M., Kramer, M., Lam, M. T., Liu, K., Lyne, A., Lazio, T. J. W., Lynch, R., McKee, J. W., McLaughlin, M. A., Mingarelli, C. M. F., Nice, D. J., Osłowski, S., Pennucci, T. T., Perera, B. B. P., Perrodin, D., Possenti, A., Russell, C. J., Sanidas, S., Sesana, A., Shaifullah, G., Shannon, R. M., Simon, J., Spiewak, R., Stairs, I. H., Stappers, B. W., Swiggum, J. K., Taylor, S. R., Theureau, G., Toomey, L., van Haasteren, R., Wang, J. B., Wang, Y., and Zhu, X. J.

Abstract

We have constructed a new time-scale, TT(IPTA16), based on observations of radio pulsars presented in the first data release from the International Pulsar Timing Array (IPTA). We used two analysis techniques with independent estimates of the noise models for the pulsar observations and different algorithms for obtaining the pulsar time-scale. The two analyses agree within the estimated uncertainties and both agree with TT(BIPM17), a post-corrected time-scale produced by the Bureau International des Poids et Mesures (BIPM). We show that both methods could detect significant errors in TT(BIPM17) if they were present. We estimate the stability of the atomic clocks from which TT(BIPM17) is derived using observations of four rubidium fountain clocks at the US Naval Observatory. Comparing the power spectrum of TT(IPTA16) with that of these fountain clocks suggests that pulsar-based time-scales are unlikely to contribute to the stability of the best time-scales over the next decade, but they will remain a valuable independent check on atomic time-scales. We also find that the stability of the pulsar-based time-scale is likely to be limited by our knowledge of solar-system dynamics, and that errors in TT(BIPM17) will not be a limiting factor for the primary goal of the IPTA, which is to search for the signatures of nano-Hertz gravitational waves.

Published
2020

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