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2. A 5% measurement of the Hubble constant from Type II supernovae

Author

de Jaeger, T., Galbany, L., Riess, A. G., Stahl, B. E., Shappee, B. J., Filippenko, A. V., and Zheng, W.

Subjects
Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

The most stringent local measurement of the Hubble-Lema\^itre constant from Cepheid-calibrated Type Ia supernovae (SNe~Ia) differs from the value inferred via the cosmic microwave background radiation ({\it Planck}$+\Lambda$CDM) by $\sim 5\sigma$. This so-called "Hubble tension" has been confirmed by other independent methods, and thus does not appear to be a possible consequence of systematic errors. Here, we continue upon our prior work of using Type II supernovae to provide another, largely-independent method to measure the Hubble-Lema\^itre constant. From 13 SNe~II with geometric, Cepheid, or tip of the red giant branch (TRGB) host-galaxy distance measurements, we derive H$_0= 75.4^{+3.8}_{-3.7}$\,km\,s$^{-1}$\,Mpc$^{-1}$ (statistical errors only), consistent with the local measurement but in disagreement by $\sim 2.0\sigma$ with the {\it Planck}$+\Lambda$CDM value. Using only Cepheids ($N=7$), we find H$_0 = 77.6^{+5.2}_{-4.8}$\,km\,s$^{-1}$\,Mpc$^{-1}$, while using only TRGB ($N=5$), we derive H$_0 = 73.1^{+5.7}_{-5.3}$\,km\,s$^{-1}$\,Mpc$^{-1}$. Via 13 variants of our dataset, we derive a systematic uncertainty estimate of 1.5\,km\,s$^{-1}$\,Mpc$^{-1}$. The median value derived from these variants differs by just 0.3\,km\,s$^{-1}$\,Mpc$^{-1}$ from that produced by our fiducial model. Because we only replace SNe~Ia with SNe~II -- and we do not find statistically significant difference between the Cepheid and TRGB H$_0$ measurements -- our work reveals no indication that SNe~Ia or Cepheids could be the sources of the "H$_0$ tension." We caution, however, that our conclusions rest upon a modest calibrator sample; as this sample grows in the future, our results should be verified., Comment: 10 pages, 4 figures, 2 tables. Accepted for publication by MNRAS. arXiv admin note: text overlap with arXiv:2006.03412

Published
2022
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3. A measurement of the Hubble constant from Type II supernovae

Author

de Jaeger, T., Stahl, B. E., Zheng, W., Filippenko, A. V., Riess, A. G., and Galbany, L.

Subjects
Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - High Energy Astrophysical Phenomena
Abstract

Progressive increases in the precision of the Hubble-constant measurement via Cepheid-calibrated Type Ia supernovae (SNe Ia) have shown a discrepancy of $\sim 4.4\sigma$ with the current value inferred from Planck satellite measurements of the cosmic microwave background radiation and the standard $\Lambda$CDM cosmological model. This disagreement does not appear to be due to known systematic errors and may therefore be hinting at new fundamental physics. Although all of the current techniques have their own merits, further improvement in constraining the Hubble constant requires the development of as many independent methods as possible. In this work, we use SNe II as standardisable candles to obtain an independent measurement of the Hubble constant. Using 7 SNe II with host-galaxy distances measured from Cepheid variables or the tip of the red giant branch, we derive H$_0= 75.8^{+5.2}_{-4.9}$ km s$^{-1}$ Mpc$^{-1}$ (statistical errors only). Our value favours that obtained from the conventional distance ladder (Cepheids + SNe Ia) and exhibits a difference of 8.4 km s$^{-1}$ Mpc$^{-1}$ from the Planck $+\Lambda$CDM value. Adding an estimate of the systematic errors (2.8 km s$^{-1}$ Mpc$^{-1}$) changes the $\sim 1.7\sigma$ discrepancy with Planck $+\Lambda$CDM to $\sim 1.4\sigma$. Including the systematic errors and performing a bootstrap simulation, we confirm that the local H$_0$ value exceeds the value from the early Universe with a confidence level of 95%. As in this work we only exchange SNe II for SNe Ia to measure extragalactic distances, we demonstrate that there is no evidence that SNe Ia are the source of the H$_0$ tension., Comment: Accepted for publication in MNRAS. 11 pages, 5 figures, 2 tables

Published
2020
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4. The Berkeley sample of Type II supernovae: BVRI light curves and spectroscopy of 55 SNe II

Author

de Jaeger, T., Zheng, W., Stahl, B. E., Filippenko, A. V., Brink, T. G., Bigley, A., Blanchard, K., Blanchard, P. K., Bradley, J., Cargill, S. K., Casper, C., Cenko, S. B., Channa, S., Choi, B. Y., Clubb, K. I., Cobb, B. E., Cohen, D., de Kouchkovsky, M., Ellison, M., Falcon, E., Fox, O. D., Fuller, K., Ganeshalingam, M., Gould, C., Graham, M. L., Halevi, G., Hayakawa, K. T., Hestenes, J., Hyland, M. P., Jeffers, B., Joubert, N., Kandrashoff, M. T., Kelly, P. L., Kim, H., Kim, M., Kumar, S., Leonard, E. J., Li, G. Z., Lowe, T. B., Lu, P., Mason, M., McAllister, K. J., Mauerhan, J. C., Modjaz, M., Molloy, J., Perley, D. A., Pina, K., Poznanski, D., Ross, T. W., Shivvers, I., Silverman, J. M., Soler, C., Stegman, S., Taylor, S., Tang, K., Wilkins, A., Wang, Xiaofeng, Wang, Xianggao, Yuk, H., Yunus, S., and Zhang, K. D.

Subjects
Astrophysics - High Energy Astrophysical Phenomena
Abstract

In this work, BV RI light curves of 55 Type II supernovae (SNe II) from the Lick Observatory Supernova Search program obtained with the Katzman Automatic Imaging Telescope and the 1 m Nickel telescope from 2006 to 2018 are presented. Additionally, more than 150 spectra gathered with the 3 m Shane telescope are published. We conduct an analyse of the peak absolute magnitudes, decline rates, and time durations of different phases of the light and colour curves. Typically, our light curves are sampled with a median cadence of 5.5 days for a total of 5093 photometric points. In average V-band plateau declines with a rate of 1.29 mag (100 days)-1, which is consistent with previously published samples. For each band, the plateau slope correlates with the plateau length and the absolute peak magnitude: SNe II with steeper decline have shorter plateau duration and are brighter. A time-evolution analysis of spectral lines in term of velocities and pseudoequivalent widths is also presented in this paper. Our spectroscopic sample ranges between 1 and 200 days post-explosion and has a median ejecta expansion velocity at 50 days post-explosion of 6500 km/s (Halpha line) and a standard dispersion of 2000 km/s. Nebular spectra are in good agreement with theoretical models using a progenitor star having a mass <16 Msol. All the data are available to the community and will help to understand SN II diversity better, and therefore to improve their utility as cosmological distance indicators., Comment: 24 pages, 12 figures, accepted for publication in MNRAS

Published
2019
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5. Discovery and Follow-up Observations of the Young Type Ia Supernova 2016coj

Author

Zheng, W, Filippenko, AV, Mauerhan, J, Graham, ML, Yuk, H, Hosseinzadeh, G, Silverman, JM, Rui, L, Arbour, R, Foley, RJ, Abolfathi, B, Abramson, LE, Arcavi, I, Barth, AJ, Bennert, VN, Brandel, AP, Cooper, MC, Cosens, M, Fillingham, SP, Fulton, BJ, Halevi, G, Howell, DA, Hsyu, T, Kelly, PL, Kumar, S, Li, L, Li, W, Malkan, MA, Manzano-King, C, McCully, C, Nugent, PE, Pan, YC, Pei, L, Scott, B, Sexton, RO, Shivvers, I, Stahl, B, Treu, T, Valenti, S, Vogler, HA, Walsh, JL, and Wang, X

Subjects
supernovae: general, supernovae: individual, astro-ph.SR, astro-ph.GA, astro-ph.HE, Astronomical and Space Sciences, Atomic, Molecular, Nuclear, Particle and Plasma Physics, Physical Chemistry (incl. Structural), Astronomy & Astrophysics
Abstract

The Type Ia supernova (SN Ia) 2016coj in NGC 4125 (redshift z = 0.00452 ± 0.00006) was discovered by the Lick Observatory Supernova Search 4.9 days after the fitted first-light time (FFLT; 11.1 days before B-band maximum). Our first detection (prediscovery) is merely 0.6 ± 0.5 days after the FFLT, making SN 2016coj one of the earliest known detections of an SN Ia. A spectrum was taken only 3.7 hr after discovery (5.0 days after the FFLT) and classified as a normal SN Ia. We performed high-quality photometry, low- and high-resolution spectroscopy, and spectropolarimetry, finding that SN 2016coj is a spectroscopically normal SN Ia, but the velocity of Si ii λ6355 around peak brightness (∼12,600 kms-1) is a bit higher than that of typical normal SNe. The Si ii λ6355 velocity evolution can be well fit by a broken-power-law function for up to a month after the FFLT. SN 2016coj has a normal peak luminosity (MB ≈ -18.9 ± 0.2 mag), and it reaches a B-band maximum ∼16.0 days after the FFLT. We estimate there to be low host-galaxy extinction based on the absence of Na i D absorption lines in our low- and high-resolution spectra. The spectropolarimetric data exhibit weak polarization in the continuum, but the Si ii line polarization is quite strong (∼0.9% ± 0.1%) at peak brightness.

Published
2017

6. Terahertz superlattice parametric oscillator

Author

Renk, K. F., Stahl, B. I., Rogl, A., Janzen, T., Pavel'ev, D. G., Koshurinov, Yu. I., Ustinov, V., and Zhukov, A.

Subjects
Condensed Matter - Mesoscale and Nanoscale Physics, Condensed Matter - Materials Science
Abstract

We report a GaAs/AlAs superlattice parametric oscillator. It was pumped by a microwave field (power few mW) and produced 3rd harmonic radiation (frequency near 300 GHz). The nonlinearity of the active superlattice was due to Bragg reflections of conduction electrons at the superlattice planes. A theory of the nonlinearity indicates that parametric oscillation should be possible up to frequencies above 10 THz. The active superlattice may be the object of further studies of predicted extraordinary nonlinearities for THz fields., Comment: 10 pages, 4 figures

Published
2005
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7. Operation of a Bloch oscillator

Author

Renk, K. F., Meier, A., Stahl, B. I., Glukhovskoy, A., Jain, M., Appel, H., and Wegscheider, W.

Subjects
Condensed Matter - Mesoscale and Nanoscale Physics, Condensed Matter - Materials Science
Abstract

We report the operation of a Bloch oscillator. The active medium was a staticvoltage driven, doped GaAs/AlAs superlattice which was electromagnetically coupled to a resonator. The oscillator produced tuneable microwave radiation (frequency ~ 60 GHz; power ~ 0.5 mW; efficiency ~ 4 %). The gain (~ 10^4 /cm) was due to the nonlinearity mediated by miniband electrons. We also present a theory of the oscillator. The Bloch oscillator should in principle be feasible for generation of radiation up to frequencies of 10 THz and more., Comment: 9 pages, 4 figures

Published
2005

10. COAST: Modelling Restenosis and Stent Based Therapies

Author

Evans, D. J. W., Caiazzo, A., Falcone, J. L., Hegewald, J., Lorenz, E., Stahl, B., Wang, D., Bernsdorf, J., Chopard, B., Gunn, J., Walker, D., Hose, R., Krafczyk, M., Hoekstra, A., Lawford, P., Magjarevic, Ratko, editor, Vlad, Simona, editor, Ciupa, Radu V., editor, and Nicu, Anca I., editor

Published
2009
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18. Dosage, intensity and frequency of language therapy for aphasia: An individual participant data network meta-analysis

Author

Stahl, B. and RELEASE Collaboration

Abstract

Background and purpose: Optimizing speech and language therapy (SLT) regimens for maximal aphasia recovery is a clinical research priority. We examined associations between SLT intensity (hours/week), dosage (total hours), frequency (days/week), duration (weeks), delivery (face to face, computer supported, individual tailoring, and home practice), content, and language outcomes for people with aphasia.Methods: Databases including MEDLINE and Embase were searched (inception to September 2015). Published, unpublished, and emerging trials including SLT and ≥10 individual participant data on aphasia, language outcomes, and time post-onset were selected. Patient-level data on stroke, language, SLT, and trial risk of bias were independently extracted. Outcome measurement scores were standardized. A statistical inferencing, one-stage, random effects, network meta-analysis approach filtered individual participant data into an optimal model examining SLT regimen for overall language, auditory comprehension, naming, and functional communication pre-post intervention gains, adjusting for a priori-defined covariates (age, sex, time poststroke, and baseline aphasia severity), reporting estimates of mean change scores (95% CI).Results: Data from 959 individual participant data (25 trials) were included. Greatest gains in overall language and comprehension were associated with >20 to 50 hours SLT dosage (18.37 [10.58-26.16] Western Aphasia Battery-Aphasia Quotient; 5.23 [1.51-8.95] Aachen Aphasia Test-Token Test). Greatest clinical overall language, functional communication, and comprehension gains were associated with 2 to 4 and 9+ SLT hours/week. Greatest clinical gains were associated with frequent SLT for overall language, functional communication (3-5+ days/week), and comprehension (4-5 days/week). Evidence of comprehension gains was absent for SLT ≤20 hours, Conclusions: Greatest language recovery was associated with frequent, functionally tailored, receptive-expressive SLT, with prescribed home practice at a greater intensity and duration than reports of usual clinical services internationally. These exploratory findings suggest critical therapeutic ranges, informing hypothesis-testing trials and tailoring of clinical services.

Published
2022

19. Lawson Criterion for Ignition Exceeded in an Inertial Fusion Experiment

Author

Abu-Shawareb, H, Acree, R, Adams, P, Adams, J, Addis, B, Aden, R, Adrian, P, Afeyan, BB, Aggleton, M, Aghaian, L, Aguirre, A, Aikens, D, Akre, J, Albert, F, Albrecht, M, Albright, BJ, Albritton, J, Alcala, J, Alday, C, Alessi, DA, Alexander, N, Alfonso, J, Alfonso, N, Alger, E, Ali, SJ, Ali, ZA, Alley, WE, Amala, P, Amendt, PA, Amick, P, Ammula, S, Amorin, C, Ampleford, DJ, Anderson, RW, Anklam, T, Antipa, N, Appelbe, B, Aracne-Ruddle, C, Araya, E, Arend, M, Arnold, P, Arnold, T, Asay, J, Atherton, LJ, Atkinson, D, Atkinson, R, Auerbach, JM, Austin, B, Auyang, L, Awwal, AS, Ayers, J, Ayers, S, Ayers, T, Azevedo, S, Bachmann, B, Back, CA, Bae, J, Bailey, DS, Bailey, J, Baisden, T, Baker, KL, Baldis, H, Barber, D, Barberis, M, Barker, D, Barnes, A, Barnes, CW, Barrios, MA, Barty, C, Bass, I, Batha, SH, Baxamusa, SH, Bazan, G, Beagle, JK, Beale, R, Beck, BR, Beck, JB, Bedzyk, M, Beeler, RG, Behrendt, W, Belk, L, Bell, P, Belyaev, M, Benage, JF, Bennett, G, Benedetti, LR, Benedict, LX, Berger, R, Bernat, T, Bernstein, LA, Berry, B, Bertolini, L, Besenbruch, G, Betcher, J, Bettenhausen, R, Betti, R, Bezzerides, B, Bhandarkar, SD, Bickel, R, Biener, J, Biesiada, T, Bigelow, K, Bigelow-Granillo, J, Bigman, V, Bionta, RM, Birge, NW, Bitter, M, Black, AC, Bleile, R, Bleuel, DL, Bliss, E, Blue, B, Boehly, T, Boehm, K, Boley, CD, Bonanno, R, Bond, EJ, Bond, T, Bonino, MJ, Borden, M, Bourgade, J-L, Bousquet, J, Bowers, J, Bowers, M, Boyd, R, Bozek, A, Bradley, DK, Bradley, KS, Bradley, PA, Bradley, L, Brannon, L, Brantley, PS, Braun, D, Braun, T, Brienza-Larsen, K, Briggs, TM, Britten, J, Brooks, ED, Browning, D, Bruhn, MW, Brunner, TA, Bruns, H, Brunton, G, Bryant, B, Buczek, T, Bude, J, Buitano, L, Burkhart, S, Burmark, J, Burnham, A, Burr, R, Busby, LE, Butlin, B, Cabeltis, R, Cable, M, Cabot, WH, Cagadas, B, Caggiano, J, Cahayag, R, Caldwell, SE, Calkins, S, Callahan, DA, Calleja-Aguirre, J, Camara, L, Camp, D, Campbell, EM, Campbell, JH, Carey, B, Carey, R, Carlisle, K, Carlson, L, Carman, L, Carmichael, J, Carpenter, A, Carr, C, Carrera, JA, Casavant, D, Casey, A, Casey, DT, Castillo, A, Castillo, E, Castor, JI, Castro, C, Caughey, W, Cavitt, R, Celeste, J, Celliers, PM, Cerjan, C, Chandler, G, Chang, B, Chang, C, Chang, J, Chang, L, Chapman, R, Chapman, T, Chase, L, Chen, H, Chen, K, Chen, L-Y, Cheng, B, Chittenden, J, Choate, C, Chou, J, Chrien, RE, Chrisp, M, Christensen, K, Christensen, M, Christopherson, AR, Chung, M, Church, JA, Clark, A, Clark, DS, Clark, K, Clark, R, Claus, L, Cline, B, Cline, JA, Cobble, JA, Cochrane, K, Cohen, B, Cohen, S, Collette, MR, Collins, G, Collins, LA, Collins, TJB, Conder, A, Conrad, B, Conyers, M, Cook, AW, Cook, D, Cook, R, Cooley, JC, Cooper, G, Cope, T, Copeland, SR, Coppari, F, Cortez, J, Cox, J, Crandall, DH, Crane, J, Craxton, RS, Cray, M, Crilly, A, Crippen, JW, Cross, D, Cuneo, M, Cuotts, G, Czajka, CE, Czechowicz, D, Daly, T, Danforth, P, Darbee, R, Darlington, B, Datte, P, Dauffy, L, Davalos, G, Davidovits, S, Davis, P, Davis, J, Dawson, S, Day, RD, Day, TH, Dayton, M, Deck, C, Decker, C, Deeney, C, DeFriend, KA, Deis, G, Delamater, ND, Delettrez, JA, Demaret, R, Demos, S, Dempsey, SM, Desjardin, R, Desjardins, T, Desjarlais, MP, Dewald, EL, DeYoreo, J, Diaz, S, Dimonte, G, Dittrich, TR, Divol, L, Dixit, SN, Dixon, J, Dodd, ES, Dolan, D, Donovan, A, Donovan, M, Döppner, T, Dorrer, C, Dorsano, N, Douglas, MR, Dow, D, Downie, J, Downing, E, Dozieres, M, Draggoo, V, Drake, D, Drake, RP, Drake, T, Dreifuerst, G, DuBois, DF, DuBois, PF, Dunham, G, Dylla-Spears, R, Dymoke-Bradshaw, AKL, Dzenitis, B, Ebbers, C, Eckart, M, Eddinger, S, Eder, D, Edgell, D, Edwards, MJ, Efthimion, P, Eggert, JH, Ehrlich, B, Ehrmann, P, Elhadj, S, Ellerbee, C, Elliott, NS, Ellison, CL, Elsner, F, Emerich, M, Engelhorn, K, England, T, English, E, Epperson, P, Epstein, R, Erbert, G, Erickson, MA, Erskine, DJ, Erlandson, A, Espinosa, RJ, Estes, C, Estabrook, KG, Evans, S, Fabyan, A, Fair, J, Fallejo, R, Farmer, N, Farmer, WA, Farrell, M, Fatherley, VE, Fedorov, M, Feigenbaum, E, Feit, M, Ferguson, W, Fernandez, JC, Fernandez-Panella, A, Fess, S, Field, JE, Filip, CV, Fincke, JR, Finn, T, Finnegan, SM, Finucane, RG, Fischer, M, Fisher, A, Fisher, J, Fishler, B, Fittinghoff, D, Fitzsimmons, P, Flegel, M, Flippo, KA, Florio, J, Folta, J, Folta, P, Foreman, LR, Forrest, C, Forsman, A, Fooks, J, Foord, M, Fortner, R, Fournier, K, Fratanduono, DE, Frazier, N, Frazier, T, Frederick, C, Freeman, MS, Frenje, J, Frey, D, Frieders, G, Friedrich, S, Froula, DH, Fry, J, Fuller, T, Gaffney, J, Gales, S, Le Galloudec, B, Le Galloudec, KK, Gambhir, A, Gao, L, Garbett, WJ, Garcia, A, Gates, C, Gaut, E, Gauthier, P, Gavin, Z, Gaylord, J, Geissel, M, Génin, F, Georgeson, J, Geppert-Kleinrath, H, Geppert-Kleinrath, V, Gharibyan, N, Gibson, J, Gibson, C, Giraldez, E, Glebov, V, Glendinning, SG, Glenn, S, Glenzer, SH, Goade, S, Gobby, PL, Goldman, SR, Golick, B, Gomez, M, Goncharov, V, Goodin, D, Grabowski, P, Grafil, E, Graham, P, Grandy, J, Grasz, E, Graziani, F, Greenman, G, Greenough, JA, Greenwood, A, Gregori, G, Green, T, Griego, JR, Grim, GP, Grondalski, J, Gross, S, Guckian, J, Guler, N, Gunney, B, Guss, G, Haan, S, Hackbarth, J, Hackel, L, Hackel, R, Haefner, C, Hagmann, C, Hahn, KD, Hahn, S, Haid, BJ, Haines, BM, Hall, BM, Hall, C, Hall, GN, Hamamoto, M, Hamel, S, Hamilton, CE, Hammel, BA, Hammer, JH, Hampton, G, Hamza, A, Handler, A, Hansen, S, Hanson, D, Haque, R, Harding, D, Harding, E, Hares, JD, Harris, DB, Harte, JA, Hartouni, EP, Hatarik, R, Hatchett, S, Hauer, AA, Havre, M, Hawley, R, Hayes, J, Hayes, S, Hayes-Sterbenz, A, Haynam, CA, Haynes, DA, Headley, D, Heal, A, Heebner, JE, Heerey, S, Heestand, GM, Heeter, R, Hein, N, Heinbockel, C, Hendricks, C, Henesian, M, Heninger, J, Henrikson, J, Henry, EA, Herbold, EB, Hermann, MR, Hermes, G, Hernandez, JE, Hernandez, VJ, Herrmann, MC, Herrmann, HW, Herrera, OD, Hewett, D, Hibbard, R, Hicks, DG, Hill, D, Hill, K, Hilsabeck, T, Hinkel, DE, Ho, DD, Ho, VK, Hoffer, JK, Hoffman, NM, Hohenberger, M, Hohensee, M, Hoke, W, Holdener, D, Holdener, F, Holder, JP, Holko, B, Holunga, D, Holzrichter, JF, Honig, J, Hoover, D, Hopkins, D, Berzak Hopkins, L, Hoppe, M, Hoppe, ML, Horner, J, Hornung, R, Horsfield, CJ, Horvath, J, Hotaling, D, House, R, Howell, L, Hsing, WW, Hu, SX, Huang, H, Huckins, J, Hui, H, Humbird, KD, Hund, J, Hunt, J, Hurricane, OA, Hutton, M, Huynh, KH-K, Inandan, L, Iglesias, C, Igumenshchev, IV, Izumi, N, Jackson, M, Jackson, J, Jacobs, SD, James, G, Jancaitis, K, Jarboe, J, Jarrott, LC, Jasion, D, Jaquez, J, Jeet, J, Jenei, AE, Jensen, J, Jimenez, J, Jimenez, R, Jobe, D, Johal, Z, Johns, HM, Johnson, D, Johnson, MA, Gatu Johnson, M, Johnson, RJ, Johnson, S, Johnson, SA, Johnson, T, Jones, K, Jones, O, Jones, M, Jorge, R, Jorgenson, HJ, Julian, M, Jun, BI, Jungquist, R, Kaae, J, Kabadi, N, Kaczala, D, Kalantar, D, Kangas, K, Karasiev, VV, Karasik, M, Karpenko, V, Kasarky, A, Kasper, K, Kauffman, R, Kaufman, MI, Keane, C, Keaty, L, Kegelmeyer, L, Keiter, PA, Kellett, PA, Kellogg, J, Kelly, JH, Kemic, S, Kemp, AJ, Kemp, GE, Kerbel, GD, Kershaw, D, Kerr, SM, Kessler, TJ, Key, MH, Khan, SF, Khater, H, Kiikka, C, Kilkenny, J, Kim, Y, Kim, Y-J, Kimko, J, Kimmel, M, Kindel, JM, King, J, Kirkwood, RK, Klaus, L, Klem, D, Kline, JL, Klingmann, J, Kluth, G, Knapp, P, Knauer, J, Knipping, J, Knudson, M, Kobs, D, Koch, J, Kohut, T, Kong, C, Koning, JM, Koning, P, Konior, S, Kornblum, H, Kot, LB, Kozioziemski, B, Kozlowski, M, Kozlowski, PM, Krammen, J, Krasheninnikova, NS, Kraus, B, Krauser, W, Kress, JD, Kritcher, AL, Krieger, E, Kroll, JJ, Kruer, WL, Kruse, MKG, Kucheyev, S, Kumbera, M, Kumpan, S, Kunimune, J, Kustowski, B, Kwan, TJT, Kyrala, GA, Laffite, S, Lafon, M, LaFortune, K, Lahmann, B, Lairson, B, Landen, OL, Langenbrunner, J, Lagin, L, Land, T, Lane, M, Laney, D, Langdon, AB, Langer, SH, Langro, A, Lanier, NE, Lanier, TE, Larson, D, Lasinski, BF, Lassle, D, LaTray, D, Lau, G, Lau, N, Laumann, C, Laurence, A, Laurence, TA, Lawson, J, Le, HP, Leach, RR, Leal, L, Leatherland, A, LeChien, K, Lechleiter, B, Lee, A, Lee, M, Lee, T, Leeper, RJ, Lefebvre, E, Leidinger, J-P, LeMire, B, Lemke, RW, Lemos, NC, Le Pape, S, Lerche, R, Lerner, S, Letts, S, Levedahl, K, Lewis, T, Li, CK, Li, H, Li, J, Liao, W, Liao, ZM, Liedahl, D, Liebman, J, Lindford, G, Lindman, EL, Lindl, JD, Loey, H, London, RA, Long, F, Loomis, EN, Lopez, FE, Lopez, H, Losbanos, E, Loucks, S, Lowe-Webb, R, Lundgren, E, Ludwigsen, AP, Luo, R, Lusk, J, Lyons, R, Ma, T, Macallop, Y, MacDonald, MJ, MacGowan, BJ, Mack, JM, Mackinnon, AJ, MacLaren, SA, MacPhee, AG, Magelssen, GR, Magoon, J, Malone, RM, Malsbury, T, Managan, R, Mancini, R, Manes, K, Maney, D, Manha, D, Mannion, OM, Manuel, AM, Mapoles, E, Mara, G, Marcotte, T, Marin, E, Marinak, MM, Mariscal, C, Mariscal, DA, Mariscal, EF, Marley, EV, Marozas, JA, Marquez, R, Marshall, CD, Marshall, FJ, Marshall, M, Marshall, S, Marticorena, J, Martinez, D, Maslennikov, I, Mason, D, Mason, RJ, Masse, L, Massey, W, Masson-Laborde, P-E, Masters, ND, Mathisen, D, Mathison, E, Matone, J, Matthews, MJ, Mattoon, C, Mattsson, TR, Matzen, K, Mauche, CW, Mauldin, M, McAbee, T, McBurney, M, Mccarville, T, McCrory, RL, McEvoy, AM, McGuffey, C, Mcinnis, M, McKenty, P, McKinley, MS, McLeod, JB, McPherson, A, Mcquillan, B, Meamber, M, Meaney, KD, Meezan, NB, Meissner, R, Mehlhorn, TA, Mehta, NC, Menapace, J, Merrill, FE, Merritt, BT, Merritt, EC, Meyerhofer, DD, Mezyk, S, Mich, RJ, Michel, PA, Milam, D, Miller, C, Miller, D, Miller, DS, Miller, E, Miller, EK, Miller, J, Miller, M, Miller, PE, Miller, T, Miller, W, Miller-Kamm, V, Millot, M, Milovich, JL, Minner, P, Miquel, J-L, Mitchell, S, Molvig, K, Montesanti, RC, Montgomery, DS, Monticelli, M, Montoya, A, Moody, JD, Moore, AS, Moore, E, Moran, M, Moreno, JC, Moreno, K, Morgan, BE, Morrow, T, Morton, JW, Moses, E, Moy, K, Muir, R, Murillo, MS, Murray, JE, Murray, JR, Munro, DH, Murphy, TJ, Munteanu, FM, Nafziger, J, Nagayama, T, Nagel, SR, Nast, R, Negres, RA, Nelson, A, Nelson, D, Nelson, J, Nelson, S, Nemethy, S, Neumayer, P, Newman, K, Newton, M, Nguyen, H, Di Nicola, J-MG, Di Nicola, P, Niemann, C, Nikroo, A, Nilson, PM, Nobile, A, Noorai, V, Nora, R, Norton, M, Nostrand, M, Note, V, Novell, S, Nowak, PF, Nunez, A, Nyholm, RA, O'Brien, M, Oceguera, A, Oertel, JA, Okui, J, Olejniczak, B, Oliveira, J, Olsen, P, Olson, B, Olson, K, Olson, RE, Opachich, YP, Orsi, N, Orth, CD, Owen, M, Padalino, S, Padilla, E, Paguio, R, Paguio, S, Paisner, J, Pajoom, S, Pak, A, Palaniyappan, S, Palma, K, Pannell, T, Papp, F, Paras, D, Parham, T, Park, H-S, Pasternak, A, Patankar, S, Patel, MV, Patel, PK, Patterson, R, Patterson, S, Paul, B, Paul, M, Pauli, E, Pearce, OT, Pearcy, J, Pedrotti, B, Peer, A, Pelz, LJ, Penetrante, B, Penner, J, Perez, A, Perkins, LJ, Pernice, E, Perry, TS, Person, S, Petersen, D, Petersen, T, Peterson, DL, Peterson, EB, Peterson, JE, Peterson, JL, Peterson, K, Peterson, RR, Petrasso, RD, Philippe, F, Phipps, TJ, Piceno, E, Ping, Y, Pickworth, L, Pino, J, Plummer, R, Pollack, GD, Pollaine, SM, Pollock, BB, Ponce, D, Ponce, J, Pontelandolfo, J, Porter, JL, Post, J, Poujade, O, Powell, C, Powell, H, Power, G, Pozulp, M, Prantil, M, Prasad, M, Pratuch, S, Price, S, Primdahl, K, Prisbrey, S, Procassini, R, Pruyne, A, Pudliner, B, Qiu, SR, Quan, K, Quinn, M, Quintenz, J, Radha, PB, Rainer, F, Ralph, JE, Raman, KS, Raman, R, Rambo, P, Rana, S, Randewich, A, Rardin, D, Ratledge, M, Ravelo, N, Ravizza, F, Rayce, M, Raymond, A, Raymond, B, Reed, B, Reed, C, Regan, S, Reichelt, B, Reis, V, Reisdorf, S, Rekow, V, Remington, BA, Rendon, A, Requieron, W, Rever, M, Reynolds, H, Reynolds, J, Rhodes, J, Rhodes, M, Richardson, MC, Rice, B, Rice, NG, Rieben, R, Rigatti, A, Riggs, S, Rinderknecht, HG, Ring, K, Riordan, B, Riquier, R, Rivers, C, Roberts, D, Roberts, V, Robertson, G, Robey, HF, Robles, J, Rocha, P, Rochau, G, Rodriguez, J, Rodriguez, S, Rosen, M, Rosenberg, M, Ross, G, Ross, JS, Ross, P, Rouse, J, Rovang, D, Rubenchik, AM, Rubery, MS, Ruiz, CL, Rushford, M, Russ, B, Rygg, JR, Ryujin, BS, Sacks, RA, Sacks, RF, Saito, K, Salmon, T, Salmonson, JD, Sanchez, J, Samuelson, S, Sanchez, M, Sangster, C, Saroyan, A, Sater, J, Satsangi, A, Sauers, S, Saunders, R, Sauppe, JP, Sawicki, R, Sayre, D, Scanlan, M, Schaffers, K, Schappert, GT, Schiaffino, S, Schlossberg, DJ, Schmidt, DW, Schmitt, MJ, Schneider, DHG, Schneider, MB, Schneider, R, Schoff, M, Schollmeier, M, Schölmerich, M, Schroeder, CR, Schrauth, SE, Scott, HA, Scott, I, Scott, JM, Scott, RHH, Scullard, CR, Sedillo, T, Seguin, FH, Seka, W, Senecal, J, Sepke, SM, Seppala, L, Sequoia, K, Severyn, J, Sevier, JM, Sewell, N, Seznec, S, Shah, RC, Shamlian, J, Shaughnessy, D, Shaw, M, Shaw, R, Shearer, C, Shelton, R, Shen, N, Sherlock, MW, Shestakov, AI, Shi, EL, Shin, SJ, Shingleton, N, Shmayda, W, Shor, M, Shoup, M, Shuldberg, C, Siegel, L, Silva, FJ, Simakov, AN, Sims, BT, Sinars, D, Singh, P, Sio, H, Skulina, K, Skupsky, S, Slutz, S, Sluyter, M, Smalyuk, VA, Smauley, D, Smeltser, RM, Smith, C, Smith, I, Smith, J, Smith, L, Smith, R, Sohn, R, Sommer, S, Sorce, C, Sorem, M, Soures, JM, Spaeth, ML, Spears, BK, Speas, S, Speck, D, Speck, R, Spears, J, Spinka, T, Springer, PT, Stadermann, M, Stahl, B, Stahoviak, J, Stanton, LG, Steele, R, Steele, W, Steinman, D, Stemke, R, Stephens, R, Sterbenz, S, Sterne, P, Stevens, D, Stevers, J, Still, CB, Stoeckl, C, Stoeffl, W, Stolken, JS, Stolz, C, Storm, E, Stone, G, Stoupin, S, Stout, E, Stowers, I, Strauser, R, Streckart, H, Streit, J, Strozzi, DJ, Suratwala, T, Sutcliffe, G, Suter, LJ, Sutton, SB, Svidzinski, V, Swadling, G, Sweet, W, Szoke, A, Tabak, M, Takagi, M, Tambazidis, A, Tang, V, Taranowski, M, Taylor, LA, Telford, S, Theobald, W, Thi, M, Thomas, A, Thomas, CA, Thomas, I, Thomas, R, Thompson, IJ, Thongstisubskul, A, Thorsness, CB, Tietbohl, G, Tipton, RE, Tobin, M, Tomlin, N, Tommasini, R, Toreja, AJ, Torres, J, Town, RPJ, Townsend, S, Trenholme, J, Trivelpiece, A, Trosseille, C, Truax, H, Trummer, D, Trummer, S, Truong, T, Tubbs, D, Tubman, ER, Tunnell, T, Turnbull, D, Turner, RE, Ulitsky, M, Upadhye, R, Vaher, JL, VanArsdall, P, VanBlarcom, D, Vandenboomgaerde, M, VanQuinlan, R, Van Wonterghem, BM, Varnum, WS, Velikovich, AL, Vella, A, Verdon, CP, Vermillion, B, Vernon, S, Vesey, R, Vickers, J, Vignes, RM, Visosky, M, Vocke, J, Volegov, PL, Vonhof, S, Von Rotz, R, Vu, HX, Vu, M, Wall, D, Wall, J, Wallace, R, Wallin, B, Walmer, D, Walsh, CA, Walters, CF, Waltz, C, Wan, A, Wang, A, Wang, Y, Wark, JS, Warner, BE, Watson, J, Watt, RG, Watts, P, Weaver, J, Weaver, RP, Weaver, S, Weber, CR, Weber, P, Weber, SV, Wegner, P, Welday, B, Welser-Sherrill, L, Weiss, K, Widmann, K, Wheeler, GF, Whistler, W, White, RK, Whitley, HD, Whitman, P, Wickett, ME, Widmayer, C, Wiedwald, J, Wilcox, R, Wilcox, S, Wild, C, Wilde, BH, Wilde, CH, Wilhelmsen, K, Wilke, MD, Wilkens, H, Wilkins, P, Wilks, SC, Williams, EA, Williams, GJ, Williams, W, Williams, WH, Wilson, DC, Wilson, B, Wilson, E, Wilson, R, Winters, S, Wisoff, J, Wittman, M, Wolfe, J, Wong, A, Wong, KW, Wong, L, Wong, N, Wood, R, Woodhouse, D, Woodruff, J, Woods, DT, Woods, S, Woodworth, BN, Wooten, E, Wootton, A, Work, K, Workman, JB, Wright, J, Wu, M, Wuest, C, Wysocki, FJ, Xu, H, Yamaguchi, M, Yang, B, Yang, ST, Yatabe, J, Yeamans, CB, Yee, BC, Yi, SA, Yin, L, Young, B, Young, CS, Young, CV, Young, P, Youngblood, K, Zacharias, R, Zagaris, G, Zaitseva, N, Zaka, F, Ze, F, Zeiger, B, Zika, M, Zimmerman, GB, Zobrist, T, Zuegel, JD, Zylstra, AB, Indirect Drive ICF Collaboration, Collaboration, Indirect Drive ICF, AWE Plc, Lawrence Livermore National Laboratory, and U.S Department of Energy

Subjects
General Physics, 02 Physical Sciences, General Physics and Astronomy, Indirect Drive ICF Collaboration, 01 Mathematical Sciences, 09 Engineering
Abstract

For more than half a century, researchers around the world have been engaged in attempts to achieve fusion ignition as a proof of principle of various fusion concepts. Following the Lawson criterion, an ignited plasma is one where the fusion heating power is high enough to overcome all the physical processes that cool the fusion plasma, creating a positive thermodynamic feedback loop with rapidly increasing temperature. In inertially confined fusion, ignition is a state where the fusion plasma can begin "burn propagation" into surrounding cold fuel, enabling the possibility of high energy gain. While "scientific breakeven" (i.e., unity target gain) has not yet been achieved (here target gain is 0.72, 1.37 MJ of fusion for 1.92 MJ of laser energy), this Letter reports the first controlled fusion experiment, using laser indirect drive, on the National Ignition Facility to produce capsule gain (here 5.8) and reach ignition by nine different formulations of the Lawson criterion.

Published
2022

20. Structure and function of non-digestible carbohydrates in the gut microbiome

Author

Afd Chemical Biology and Drug Discovery, Chemical Biology and Drug Discovery, Rastall, R. A., Diez-Municio, M., Forssten, S. D., Hamaker, B., Meynier, A., Moreno, F. Javier, Respondek, F., Stahl, B., Venema, K., Wiese, M., Afd Chemical Biology and Drug Discovery, Chemical Biology and Drug Discovery, Rastall, R. A., Diez-Municio, M., Forssten, S. D., Hamaker, B., Meynier, A., Moreno, F. Javier, Respondek, F., Stahl, B., Venema, K., and Wiese, M.

Published
2022

21. Structure and function of non-digestible carbohydrates in the gut microbiome

Author

Rastall, Robert A., Díez-Municio, M., Forssten, S. D., Hamaker, Bruce R., Meynier, A., Moreno, F. Javier, Respondek, F., Stahl, B., Venema, K., Wiese, M., Rastall, Robert A., Díez-Municio, M., Forssten, S. D., Hamaker, Bruce R., Meynier, A., Moreno, F. Javier, Respondek, F., Stahl, B., Venema, K., and Wiese, M.

Abstract

Carbohydrates entering the complex microbial ecosystem resident in the human gut can be fermented to different degrees by the bacterial species present. Whilst insoluble carbohydrates may be fermented to a low degree, they may still be classed dietary fibres. More extensively fermented carbohydrates frequently display a selectivity towards particular microbial groups; if the end result of this process is an improvement in host health, then we would consider those carbohydrates to be prebiotics. It is a complex task to identify the structural basis of the fermentation selectivity underlying a prebiotic effect. Individuals vary in terms of the diversity of their gut microbiome and in the response of this microbiome to any given carbohydrate. The task is further complicated by the use of varying microbiology techniques across studies. Some generic understanding can be identified: It is clear that low molecular weight carbohydrates of a wide range of structure are very readily metabolised by bifidobacteria and are frequently seen to select for this genus in in vitro studies.. This selectivity is explained by the widespread presence of exo-glycosidase and sugar transport system genes in bifidobacterial genomes. Metabolism of higher molecular weight carbohydrates is dependant of organisms possessing the relevant polysaccharide utilisation genes like the bacteroides, rendering them highly adept at polysaccharide metabolism. To understand the fate of any given carbohydrate in the gut microbiome, however, the presence of cross-feeding networks must be taken into account. We know of some such cross feeding networks likely to operate in the gut but there is much to learn. ILSI Europe has commissioned an expert group to produce an authoritative view of the state of the art in terms of our understanding of structure function relationships in fermented carbohydrates. This presentation will highlight our current understanding of structure function relationships and point to the ga

Published
2022

24. Structure and function of non-digestible carbohydrates in the gut microbiome

Author

Rastall, R. A., Diez-Municio, M., Forssten, S. D., Hamaker, B., Meynier, A., Moreno, F. Javier, Respondek, F., Stahl, B., Venema, K., Wiese, M., Afd Chemical Biology and Drug Discovery, Chemical Biology and Drug Discovery, Afd Chemical Biology and Drug Discovery, and Chemical Biology and Drug Discovery

Subjects
Dietary Fiber, Microbiology (medical), ANTIULCER PECTIC POLYSACCHARIDES, Short-chain fatty acids (SCFA), HUMAN-MILK OLIGOSACCHARIDES, Microbiology, IN-VITRO MODEL, ANION-EXCHANGE CHROMATOGRAPHY, Polysaccharides, OAT BETA-GLUCAN, short-chain fatty acids (SCFA), Dietary Carbohydrates, Humans, Non-digestible carbohydrates, non-digestible carbohydrates, Ecosystem, Bacteria, Probiotics, Starch, PERFORMANCE LIQUID-CHROMATOGRAPHY, Gastrointestinal Microbiome, INULIN-TYPE FRUCTANS, CHAIN FATTY-ACIDS, Prebiotics, INTESTINAL EPITHELIAL-CELLS, prebiotics, HYDROPHILIC-INTERACTION CHROMATOGRAPHY
Abstract

Resumen del póster presentado al International Scientific Association for Probiotics and Prebiotics Annual Meeting (ISAPP), celebrado en Sitges. Barcelona (España) del 15 al 17 de junio de 2022., Carbohydrates entering the complex microbial ecosystem resident in the human gut can be fermented to different degrees by the bacterial species present. Whilst insoluble carbohydrates may be fermented to a low degree, they may still be classed dietary fibres. More extensively fermented carbohydrates frequently display a selectivity towards particular microbial groups; if the end result of this process is an improvement in host health, then we would consider those carbohydrates to be prebiotics. It is a complex task to identify the structural basis of the fermentation selectivity underlying a prebiotic effect. Individuals vary in terms of the diversity of their gut microbiome and in the response of this microbiome to any given carbohydrate. The task is further complicated by the use of varying microbiology techniques across studies. Some generic understanding can be identified: It is clear that low molecular weight carbohydrates of a wide range of structure are very readily metabolised by bifidobacteria and are frequently seen to select for this genus in in vitro studies.. This selectivity is explained by the widespread presence of exo-glycosidase and sugar transport system genes in bifidobacterial genomes. Metabolism of higher molecular weight carbohydrates is dependant of organisms possessing the relevant polysaccharide utilisation genes like the bacteroides, rendering them highly adept at polysaccharide metabolism. To understand the fate of any given carbohydrate in the gut microbiome, however, the presence of cross-feeding networks must be taken into account. We know of some such cross feeding networks likely to operate in the gut but there is much to learn. ILSI Europe has commissioned an expert group to produce an authoritative view of the state of the art in terms of our understanding of structure function relationships in fermented carbohydrates. This presentation will highlight our current understanding of structure function relationships and point to the gaps in knowledge and the questions that arise in this area.

Published
2022

25. Precision rehabilitation for aphasia by patient age, sex, aphasia severity, and time since stroke? A prespecified, systematic review-based, individual participant data, network, subgroup meta-analysis

Author

Brady, M. C., Ali, M., VandenBerg, K., Williams, L. J., Williams, L. R., Abo, M., Becker, F., Bowen, A., Brandenburg, C., Breitenstein, C., Bruehl, S., Copland, D. A., Cranfill, T. B., di Pietro-Bachmann, M., Enderby, P., Fillingham, J., Galli, F. L., Gandolfi, M., Glize, B., Godecke, E., Hawkins, N., Hilari, K., Hinckley, J., Horton, S., Howard, D., Jaecks, P., Jefferies, E., Jesus, L.M.T., Kambanaros, M., Kang, E. K., Khedr, E. M., Kong, A. P., Kukkonen, T., Laganaro, M., Ralph, M. L., Laska, A., Leemann, B., Leff, A. P., Lima, R. R., Lorenz, A., MacWhinney, B., Marshall, R. S., Mattioli, F., Mavis, I., Meinzer, M., Nilipour, R., Noe, E., Paik, N-J., Palmer, R., Papathanasiou, I., Patrício, B., Martins, I., Price, C., Jakovac, T. P., Rochon, E., Rose, M. L., Rosso, C., Rubi-Fessen, I., Ruiter, M. B., Snell, C., Stahl, B., Szaflarski, J. P., Thomas, S. A, van de Sandt-Koenderman, M., van der Meulen, I., Visch-Brink, E., Worrall, L., Wright, H. H., and RELEASE Collaboration

Subjects
Male, genetic structures, Speech Therapy, Medical and Health Sciences, rehabilitation, Language and Speech, Learning and Therapy, Aphasia, Humans, individual, network meta-analysis, Aged, Language, Infant, Newborn, Stroke Rehabilitation, speech and language therapy, participant data, Language & Communication, P1, Aphasia/rehabilitation, Stroke, aphasia, individual participant data, Neurology, Female, Speech Therapy/methods, RC, Stroke/complications
Abstract

Background: Stroke rehabilitation interventions are routinely personalized to address individuals’ needs, goals, and challenges based on evidence from aggregated randomized controlled trials (RCT) data and meta-syntheses. Individual participant data (IPD) meta-analyses may better inform the development of precision rehabilitation approaches, quantifying treatment responses while adjusting for confounders and reducing ecological bias. Aim: We explored associations between speech and language therapy (SLT) interventions frequency (days/week), intensity (h/week), and dosage (total SLT-hours) and language outcomes for different age, sex, aphasia severity, and chronicity subgroups by undertaking prespecified subgroup network meta-analyses of the RELEASE database. Methods: MEDLINE, EMBASE, and trial registrations were systematically searched (inception-Sept2015) for RCTs, including ⩾ 10 IPD on stroke-related aphasia. We extracted demographic, stroke, aphasia, SLT, and risk of bias data. Overall-language ability, auditory comprehension, and functional communication outcomes were standardized. A one-stage, random effects, network meta-analysis approach filtered IPD into a single optimal model, examining SLT regimen and language recovery from baseline to first post-intervention follow-up, adjusting for covariates identified a-priori. Data were dichotomized by age (⩽/> 65 years), aphasia severity (mild–moderate/ moderate–severe based on language outcomes’ median value), chronicity (⩽/> 3 months), and sex subgroups. We reported estimates of means and 95% confidence intervals. Where relative variance was high (> 50%), results were reported for completeness. Results: 959 IPD (25 RCTs) were analyzed. For working-age participants, greatest language gains from baseline occurred alongside moderate to high-intensity SLT (functional communication 3-to-4 h/week; overall-language and comprehension > 9 h/week); older participants’ greatest gains occurred alongside low-intensity SLT (⩽ 2 h/week) except for auditory comprehension (> 9 h/week). For both age-groups, SLT-frequency and dosage associated with best language gains were similar. Participants ⩽ 3 months post-onset demonstrated greatest overall-language gains for SLT at low intensity/moderate dosage (⩽ 2 SLT-h/week; 20-to-50 h); for those > 3 months, post-stroke greatest gains were associated with moderate-intensity/high-dosage SLT (3–4 SLT-h/week; ⩾ 50 hours). For moderate–severe participants, 4 SLT-days/week conferred the greatest language gains across outcomes, with auditory comprehension gains only observed for ⩾ 4 SLT-days/week; mild–moderate participants’ greatest functional communication gains were associated with similar frequency (⩾ 4 SLT-days/week) and greatest overall-language gains with higher frequency SLT (⩾ 6 days/weekly). Males’ greatest gains were associated with SLT of moderate (functional communication; 3-to-4 h/weekly) or high intensity (overall-language and auditory comprehension; (> 9 h/weekly) compared to females for whom the greatest gains were associated with lower-intensity SLT ( 9 h over ⩾ 4 days/week. Conclusions: We observed a treatment response in most subgroups’ overall-language, auditory comprehension, and functional communication language gains. For some, the maximum treatment response varied in association with different SLT-frequency, intensity, and dosage. Where differences were observed, working-aged, chronic, mild–moderate, and male subgroups experienced their greatest language gains alongside high-frequency/intensity SLT. In contrast, older, moderate–severely impaired, and female subgroups within 3 months of aphasia onset made their greatest gains for lower-intensity SLT. The acceptability, clinical, and cost effectiveness of precision aphasia rehabilitation approaches based on age, sex, aphasia severity, and chronicity should be evaluated in future clinical RCTs.

Published
2022

27. Questions of responsibility: How is RRI being embedded into CDTs?

Author

Ten Holter, C and Stahl, B

Abstract

Although Responsible Research and Innovation (RRI) has been a part of the academic discourse for over a decade, the 2018 call from EPSRC represented, we believe, the first attempt by any funder to embed responsible innovation training into the teaching of a generation of doctoral students. This alone would make the project worthy of study for those interested in the development of RRI as a discipline. Additionally, however, the Centres for Doctoral Training are unique in the UK doctoral research landscape for the large-scale industrial involvement and partnerships that provide not only funding but valuable exposure to realworld problems for students. In some cases industry partners are funding students directly, in all cases partners are involved with students, encouraging entrepreneurship and enabling them to gain a greater understanding of the industrial context. This partnership with industry affords an opportunity to study how academic interpretations of ‘responsibility’ may translate or reflect into various industrial sectors. This report summarises some of the main findings of the study carried out by members of the ORBIT project on RRI teaching in EPSRC Centres for Doctoral Training.

Published
2021

29. RELEASE: a protocol for a systematic review based, individual participant data, meta- and network meta-analysis, of complex speech-language therapy interventions for stroke-related aphasia

Author

Brady, MC, Ali, M, VandenBerg, K, Williams, LJ, Williams, LR, Abo, M, Becker, F, Bowen, A, Brandenburg, C, Breitenstein, C, Bruehl, S, Copland, DA, Cranfill, TB, Pietro-Bachmann, MD, Enderby, P, Fillingham, J, Galli, FL, Gandolfi, M, Glize, B, Godecke, E, Hawkins, N, Hilari, K, Hinckley, J, Horton, S, Howard, D, Jaecks, P, Jefferies, E, Jesus, LMT, Kambanaros, M, Kang, EK, Khedr, EM, Kong, APH, Kukkonen, T, Laganaro, M, Ralph, MAL, Laska, AC, Leemann, B, Leff, AP, Lima, RR, Lorenz, A, MacWhinney, B, Marshall, RS, Mattioli, F, Maviş, İ, Meinzer, M, Nilipour, R, Noé, E, Paik, NJ, Palmer, R, Papathanasiou, I, Patricio, BF, Martins, IP, Price, C, Jakovac, TP, Rochon, E, Rose, ML, Rosso, C, Rubi-Fessen, I, Ruiter, MB, Snell, C, Stahl, B, Szaflarski, JP, Thomas, SA, Van De Sandt-Koenderman, M, Van Der Meulen, I, Visch-Brink, E, Worrall, L, Wright, HH, Brady, MC [0000-0002-4589-7021], Ali, M [0000-0001-5899-2485], VandenBerg, K [0000-0001-5035-9650], Williams, LJ [0000-0002-6317-1718], Williams, LR [0000-0003-2430-1142], Abo, M [0000-0001-6701-4974], Becker, F [0000-0002-0857-0628], Bowen, A [0000-0003-4075-1215], Brandenburg, C [0000-0002-6992-7790], Breitenstein, C [0000-0002-6408-873X], Bruehl, S [0000-0003-4826-1990], Copland, DA [0000-0002-2257-4270], Cranfill, TB [0000-0001-7608-6443], Pietro-Bachmann, MD [0000-0001-8027-2337], Enderby, P [0000-0002-4371-9053], Fillingham, J [0000-0002-0363-8021], Galli, FL [0000-0001-9244-9179], Gandolfi, M [0000-0002-0877-4807], Glize, B [0000-0001-9618-2088], Hawkins, N [0000-0002-7210-1295], Hilari, K [0000-0003-2091-4849], Hinckley, J [0000-0002-4052-1420], Horton, S [0000-0002-2133-1410], Howard, D [0000-0001-9141-5751], Jaecks, P [0000-0002-5878-1327], Jefferies, E [0000-0002-3826-4330], Jesus, LMT [0000-0002-8534-3218], Kambanaros, M [0000-0002-5857-9460], Kang, EK [0000-0001-5315-1361], Khedr, EM [0000-0001-5679-9833], Kong, APH [0000-0002-6211-0358], Kukkonen, T [0000-0002-8189-0337], Laganaro, M [0000-0002-4054-0939], Ralph, MAL [0000-0001-5907-2488], Laska, AC [0000-0002-7330-940X], Leemann, B [0000-0003-2226-6777], Leff, AP [0000-0002-0831-3541], Lima, RR [0000-0002-9914-4789], Lorenz, A [0000-0002-0200-1977], MacWhinney, B [0000-0002-4988-1342], Marshall, RS [0000-0001-9313-5454], Mattioli, F [0000-0002-4912-5520], Maviş, İ [0000-0003-3924-1138], Meinzer, M [0000-0003-1370-3947], Nilipour, R [0000-0003-4180-7989], Noé, E [0000-0002-2547-8727], Paik, NJ [0000-0002-5193-8678], Palmer, R [0000-0002-2335-7104], Papathanasiou, I [0000-0003-0999-696X], Patricio, BF [0000-0002-2619-470X], Martins, IP [0000-0002-9611-7400], Price, C [0000-0003-0111-9364], Jakovac, TP [0000-0002-5018-9556], Rochon, E [0000-0001-5521-0513], Rose, ML [0000-0002-8892-0965], Rosso, C [0000-0001-7236-1508], Rubi-Fessen, I [0000-0002-9775-3812], Ruiter, MB [0000-0001-6147-5235], Snell, C [0000-0001-8606-7801], Stahl, B [0000-0003-3957-1495], Szaflarski, JP [0000-0002-5936-6627], Thomas, SA [0000-0003-0704-9387], van de Sandt-Koenderman, M [0000-0002-8104-6937], van der Meulen, I [0000-0002-6156-3873], Visch-Brink, E [0000-0001-7833-0112], Worrall, L [0000-0002-3283-7038], Wright, HH [0000-0001-6922-6364], and Apollo - University of Cambridge Repository

Subjects
Stroke, IPD, meta-analysis, stroke, aphasia, complex intervention, IPD, meta-analysis, genetic structures, aphasia, complex intervention
Abstract

Background: Speech and language therapy (SLT) benefits people with aphasia following stroke. Group level summary statistics from randomised controlled trials hinder exploration of highly complex SLT interventions and a clinically relevant heterogeneous population. Creating a database of individual participant data (IPD) for people with aphasia aims to allow exploration of individual and therapy-related predictors of recovery and prognosis.\ud \ud Aim: To explore the contribution that individual participant characteristics (including stroke and aphasia profiles) and SLT intervention components make to language recovery following stroke.\ud \ud Methods and procedures: We will identify eligible IPD datasets (including randomised controlled trials, non-randomised comparison studies, observational studies and registries) and invite their contribution to the database. Where possible, we will use meta- and network meta-analysis to explore language performance after stroke and predictors of recovery as it relates to participants who had no SLT, historical SLT or SLT in the primary research study. We will also examine the components of effective SLT interventions.\ud \ud Outcomes and results: Outcomes include changes in measures of functional communication, overall severity of language impairment, auditory comprehension, spoken language (including naming), reading and writing from baseline. Data captured on assessment tools will be collated and transformed to a standardised measure for each of the outcome domains.\ud \ud Conclusion: Our planned systematic-review-based IPD meta- and network meta-analysis is a large scale, international, multidisciplinary and methodologically complex endeavour. It will enable hypotheses to be generated and tested to optimise and inform development of interventions for people with aphasia after stroke.\ud \ud Systematic review registration: The protocol has been registered at the International Prospective Register of Systematic Reviews (PROSPERO; registration number: CRD42018110947)

Published
2020

30. 5 per cent measurement of the Hubble–Lemaître constant from Type II supernovae.

Author

de Jaeger, T, Galbany, L, Riess, A G, Stahl, B E, Shappee, B J, Filippenko, A V, and Zheng, W

Subjects
TYPE II supernovae, TYPE I supernovae, COSMIC background radiation, STATISTICAL errors, RED giants, CEPHEIDS, HUBBLE constant
Abstract

The most stringent local measurement of the Hubble–Lemaître constant from Cepheid-calibrated Type Ia supernovae (SNe Ia) differs from the value inferred via the cosmic microwave background radiation (Planck +ΛCDM) by ∼5σ. This so-called Hubble tension has been confirmed by other independent methods, and thus does not appear to be a possible consequence of systematic errors. Here, we continue upon our prior work of using Type II supernovae to provide another, largely independent method to measure the Hubble–Lemaître constant. From 13 SNe II with geometric, Cepheid, or tip of the red giant branch (TRGB) host-galaxy distance measurements, we derive H |$_0= 75.4^{+3.8}_{-3.7}$|  km s−1 Mpc−1 (statistical errors only), consistent with the local measurement but in disagreement by ∼2.0σ with the Planck +ΛCDM value. Using only Cepheids (N  = 7), we find H |$_0 = 77.6^{+5.2}_{-4.8}$|  km s−1 Mpc−1, while using only TRGB (N  = 5), we derive H |$_0 = 73.1^{+5.7}_{-5.3}$|  km s−1 Mpc−1. Via 13 variants of our data set, we derive a systematic uncertainty estimate of 1.5 km s−1 Mpc−1. The median value derived from these variants differs by just 0.3 km s−1 Mpc−1 from that produced by our fiducial model. Because we only replace SNe Ia with SNe II – and we do not find statistically significant difference between the Cepheid and TRGB H 0 measurements – our work reveals no indication that SNe Ia or Cepheids could be the sources of the ' H 0 tension.' We caution, however, that our conclusions rest upon a modest calibrator sample; as this sample grows in the future, our results should be verified. [ABSTRACT FROM AUTHOR]

Published
2022
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31. Predictors of Poststroke Aphasia Recovery

Author

Ali, M., VandenBerg, K., Williams, L., Abo, M., Becker, F., Bowen, A., Brandenburg, C., Breitenstein, C., Bruehl, S., Copland, D., Cranfill, T. B., Pietro-Bachmann, M. di, Enderby, P., Fillingham, J., Lucia Galli, F., Gandolfi, M., Glize, B., Godecke, E., Hawkins, N., Hilari, K., Hinckley, J., Horton, S., Howard, D., Jaecks, P., Jefferies, E., Jesus, L.M.T., Kambanaros, M., Kyoung Kang, E., Khedr, E. M., Pak-Hin Kong, A., Kukkonen, T., Laganaro, M., Lambon Ralph, M. A., Charlotte Laska, A., Leemann, B., Leff, A., Lima, R., Lorenz, A., Mac Whinney, B., Shisler Marshall, R., Mattioli, F., Mavis, I., Meinzer, M., Nilipour, R., Noe, E., Paik, N-J., Palmer, R., Papathanasiou, I., Patrício, B., Pavao Martins, I., Price, C., Prizl Jakovac, T., Rochon, E., Rose, M., Rosso, C., Rubi-Fessen, I., Ruiter, M. B., Snell, C., Stahl, B., Szaflarski, J. P., Thomas, S. A, van de Sandt-Koenderman, M., van der Meulen, I., Visch-Brink, E., Worrall, L., Harris Wright, H., and Brady, M. C.

Subjects
behavioral disciplines and activities, P1, RC
Abstract

Background and Purpose:\ud The factors associated with recovery of language domains after stroke remain uncertain. We described recovery of overall-language-ability, auditory comprehension, naming, and functional-communication across participants’ age, sex, and aphasia chronicity in a large, multilingual, international aphasia dataset.\ud \ud Methods:\ud Individual participant data meta-analysis of systematically sourced aphasia datasets described overall-language ability using the Western Aphasia Battery Aphasia-Quotient; auditory comprehension by Aachen Aphasia Test (AAT) Token Test; naming by Boston Naming Test and functional-communication by AAT Spontaneous-Speech Communication subscale. Multivariable analyses regressed absolute score-changes from baseline across language domains onto covariates identified a priori in randomized controlled trials and all study types. Change-from-baseline scores were presented as estimates of means and 95% CIs. Heterogeneity was described using relative variance. Risk of bias was considered at dataset and meta-analysis level.\ud \ud Results:\ud Assessments at baseline (median=43.6 weeks poststroke; interquartile range [4–165.1]) and first-follow-up (median=10 weeks from baseline; interquartile range [3–26]) were available for n=943 on overall-language ability, n=1056 on auditory comprehension, n=791 on naming and n=974 on functional-communication. Younger age (

Published
2021

32. Cross-feeding between Bifidobacterium infantis and Anaerostipes caccae on lactose and human milk oligosaccharides

Author

Chia, L W, Mank, M, Blijenberg, B, Bongers, R S, van Limpt, K, Wopereis, H, Tims, S, Stahl, B, Belzer, C, Knol, J, Pharmacology, Afd Pharmacology, Afd Chemical Biology and Drug Discovery, Chemical Biology and Drug Discovery, Pharmacology, Afd Pharmacology, Afd Chemical Biology and Drug Discovery, and Chemical Biology and Drug Discovery

Subjects
0301 basic medicine, Microbiology (medical), 030106 microbiology, microbiome, bifidobacteria, Butyrate, Gut flora, medicine.disease_cause, Microbiology, digestive system, 03 medical and health sciences, chemistry.chemical_compound, Anaerostipes caccae, Lachnospiraceae, medicine, Monosaccharide, Microbiome, Food science, MolEco, Lactose, VLAG, chemistry.chemical_classification, biology, pH, Carbohydrate, biology.organism_classification, butyrate, 030104 developmental biology, chemistry
Abstract

The establishment of the gut microbiota immediately after birth is a dynamic process that may impact lifelong health. At this important developmental stage in early life, human milk oligosaccharides (HMOs) serve as specific substrates to shape the gut microbiota of the nursling. The well-orchestrated transition is important as an aberrant microbial composition and bacterial-derived metabolites are associated with colicky symptoms and atopic diseases in infants. Here, we study the trophic interactions between an HMO-degrader, Bifidobacterium infantis and the butyrogenic Anaerostipes caccae using carbohydrate substrates that are relevant in the early life period including lactose and total human milk carbohydrates. Mono- and co-cultures of these bacterial species were grown at pH 6.5 in anaerobic bioreactors supplemented with lactose or total human milk carbohydrates. A. caccae was not able to grow on these substrates except when grown in co-culture with B. infantis, leading to growth and concomitant butyrate production. Two levels of cross-feeding were observed, in which A. caccae utilised the liberated monosaccharides as well as lactate and acetate produced by B. infantis. This microbial cross-feeding points towards the key ecological role of bifidobacteria in providing substrates for other important species that will colonise the infant gut. The progressive shift of the gut microbiota composition that contributes to the gradual production of butyrate could be important for host-microbial crosstalk and gut maturation.

Published
2021

33. Cross-feeding between Bifidobacterium infantis and Anaerostipes caccae on lactose and human milk oligosaccharides

Author

Pharmacology, Afd Pharmacology, Afd Chemical Biology and Drug Discovery, Chemical Biology and Drug Discovery, Chia, L W, Mank, M, Blijenberg, B, Bongers, R S, van Limpt, K, Wopereis, H, Tims, S, Stahl, B, Belzer, C, Knol, J, Pharmacology, Afd Pharmacology, Afd Chemical Biology and Drug Discovery, Chemical Biology and Drug Discovery, Chia, L W, Mank, M, Blijenberg, B, Bongers, R S, van Limpt, K, Wopereis, H, Tims, S, Stahl, B, Belzer, C, and Knol, J

Published
2021

35. Cross-feeding between Bifidobacterium infantis and Anaerostipes caccae on lactose and human milk oligosaccharides

Author

Chia, L.W., Mank, M., Blijenberg, B., Bongers, R.S., Van Limpt, K., Wopereis, H., Tims, S., Stahl, B., Belzer, C., Knol, J., Chia, L.W., Mank, M., Blijenberg, B., Bongers, R.S., Van Limpt, K., Wopereis, H., Tims, S., Stahl, B., Belzer, C., and Knol, J.

Abstract

The establishment of the gut microbiota immediately after birth is a dynamic process that may impact lifelong health. At this important developmental stage in early life, human milk oligosaccharides (HMOs) serve as specific substrates to shape the gut microbiota of the nursling. The well-orchestrated transition is important as an aberrant microbial composition and bacterial-derived metabolites are associated with colicky symptoms and atopic diseases in infants. Here, we study the trophic interactions between an HMO-degrader, Bifidobacterium infantis and the butyrogenic Anaerostipes caccae using carbohydrate substrates that are relevant in the early life period including lactose and total human milk carbohydrates. Mono-and co-cultures of these bacterial species were grown at pH 6.5 in anaerobic bioreactors supplemented with lactose or total human milk carbohydrates. A. caccae was not able to grow on these substrates except when grown in co-culture with B. infantis, leading to growth and concomitant butyrate production. Two levels of cross-feeding were observed, in which A. caccae utilised the liberated monosaccharides as well as lactate and acetate produced by B. infantis. This microbial cross-feeding points towards the key ecological role of bifidobacteria in providing substrates for other important species that will colonise the infant gut. The progressive shift of the gut microbiota composition that contributes to the gradual production of butyrate could be important for host-microbial crosstalk and gut maturation.

Published
2021

40. Short chain fatty acids in human gut and metabolic health

Author

Blaak, E. E., Canfora, E. E., Theis, S., Frost, G., Groen, A. K., Mithieux, G., Nauta, A., Scott, K., Stahl, B., van Harsselaar, J., van Tol, R., Vaughan, E. E., Verbeke, K., Afd Chemical Biology and Drug Discovery, Chemical Biology and Drug Discovery, Maastricht University [Maastricht], Südzucker Group [Mannheim, Germany] (SG), Imperial College London, University of Amsterdam [Amsterdam] (UvA), University of Groningen [Groningen], Nutrition, diabète et cerveau, Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de la Santé et de la Recherche Médicale (INSERM), FrieslandCampina [Amersfoort, the Netherlands] (FC), University of Aberdeen, Danone Nutricia Research [Utrecht], Utrecht University [Utrecht], Reckitt Benckiser/Mead Johnson Nutrition [Nijmegen, the Netherlands] (RB/MJN), Sensus (Royal Cosun) [Roosendaal, the Netherlands], Translational Research Center for Gastrointestinal Disorders [Leuven, Belgium] (TARGID), Nutrition, diabète et cerveau (NUDICE), Di Carlo, Marie-Ange, Afd Chemical Biology and Drug Discovery, and Chemical Biology and Drug Discovery

Subjects
0301 basic medicine, Gastrointestinal Diseases, BUTYRATE-PRODUCING BACTERIA, chemistry.chemical_compound, 0302 clinical medicine, Glucose homeostasis, Food science, 2. Zero hunger, GLUCAGON-LIKE PEPTIDE-1, CALCIUM-ABSORPTION, digestive, oral, and skin physiology, dietary fibre, Dietary fibre, food and beverages, Sodium butyrate, Glucagon-like peptide-1, 3. Good health, PROTEIN-COUPLED RECEPTOR, ADIPOSE-TISSUE, ULCERATIVE-COLITIS, Butyrate-Producing Bacteria, Carbohydrate Metabolism, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Animal studies, Life Sciences & Biomedicine, Microbiology (medical), DIET-INDUCED OBESITY, Metabolic health, SODIUM-BUTYRATE, 030209 endocrinology & metabolism, Butyrate, Biology, Microbiology, digestive system, 03 medical and health sciences, Immune system, Animals, Humans, Obesity, Microbiome, [SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], metabolic health, Science & Technology, Host Microbial Interactions, Nutrition & Dietetics, Fatty Acids, Volatile, SCFA, gut health, Gastrointestinal Microbiome, Gastrointestinal Tract, Prebiotics, 030104 developmental biology, Diabetes Mellitus, Type 2, chemistry, BARRIER FUNCTION, INTESTINAL EPITHELIAL-CELLS, Gut health, prebiotics
Abstract

Evidence is accumulating that short chain fatty acids (SCFA) play an important role in the maintenance of gut and metabolic health. The SCFA acetate, propionate and butyrate are produced from the microbial fermentation of indigestible carbohydrates and appear to be key mediators of the beneficial effects elicited by the gut microbiome. Microbial SCFA production is essential for gut integrity by regulating the luminal pH, mucus production, providing fuel for epithelial cells and effects on mucosal immune function. SCFA also directly modulate host metabolic health through a range of tissue-specific mechanisms related to appetite regulation, energy expenditure, glucose homeostasis and immunomodulation. Therefore, an increased microbial SCFA production can be considered as a health benefit, but data are mainly based on animal studies, whereas well-controlled human studies are limited. In this review an expert group by ILSI Europe's Prebiotics Task Force discussed the current scientific knowledge on SCFA to consider the relationship between SCFA and gut and metabolic health with a particular focus on human evidence. Overall, the available mechanistic data and limited human data on the metabolic consequences of elevated gut-derived SCFA production strongly suggest that increasing SCFA production could be a valuable strategy in the preventing gastro-intestinal dysfunction, obesity and type 2 diabetes mellitus. Nevertheless, there is an urgent need for well controlled longer term human SCFA intervention studies, including measurement of SCFA fluxes and kinetics, the heterogeneity in response based on metabolic phenotype, the type of dietary fibre and fermentation site in fibre intervention studies and the control for factors that could shape the microbiome like diet, physical activity and use of medication. ispartof: BENEFICIAL MICROBES vol:11 issue:5 pages:411-455 ispartof: location:Netherlands status: published

Published
2020

41. The future of ICT for health and ageing: unveiling ethical and social issues through horizon scanning foresight

Author

Flick, C., Zamani, E., Stahl, B., and Brem, A.

Subjects
ICT, ComputingMilieux_COMPUTERSANDSOCIETY, health, ageing society, Responsible Research and Innovation
Abstract

The file attached to this record is the author's final peer reviewed version. This paper uses horizon scanning as a foresight methodology to investigate the opportunities, challenges and futures of ICT for health and ageing, particularly focusing on identifying the ethical and social issues associated with this sector. It uses empirical evidence gained from the analysis of interviews, literature reviews, and policy documents to identify the primary signals within the areas of future technologies, future environments, future companies, and future older people. In addition, we build on contemporary internet-based discussions amongst the general public and the ICT start-up sector to identify weak signals regarding ethical and social issues, based on and around these areas. Our findings show that the key ethical and social issues identified are concerned with the issue of the elderly being seen as collections of diseases, the human face of ICT, privacy and informed consent, autonomy, stereotyping of older people, and general anxieties around ICTs. We conclude our paper with recommendations for addressing these ethical and social concerns, specifically through the adoption of responsible research and innovation practices.

Published
2020

42. A peptide link between HCMV infection, neuronal migration, and psychosis

Author

Lucchese, G., Flöel, A., and Stahl, B.

Abstract

Alongside biological, psychological and social risk factors, psychotic syndromes may be related to disturbances of neuronal migration. This highly complex process characterizes the developing brain of the fetus, the early postnatal brain, and the adult brain, as reflected by changes within the subventricular zone and the dentate gyrus of the hippocampus, where neurogenesis persists throughout life. Psychosis also appears to be linked to human cytomegalovirus (HCMV) infection. However, little is known about the connection between psychosis, HCMV infection, and disruption of neuronal migration. The present study addresses the hypothesis that HCMV infection may lead to mental disorders through mechanisms of autoimmune cross-reactivity. Searching for common peptides that underlie immune cross-reactions, the analyses focus on HCMV and human proteins involved in neuronal migration. Results demonstrate a large overlap of viral peptides with human proteins associated with neuronal migration, such as ventral anterior homeobox 1 and cell adhesion molecule 1 implicated in GABAergic and glutamatergic neurotransmission. The present findings support the possibility of immune cross-reactivity between HCMV and human proteins that—when altered, mutated, or improperly functioning—may disrupt normal neuronal migration. In addition, these findings are consistent with a molecular and mechanistic framework for pathological sequences of events, beginning with HCMV infection, followed by immune activation, cross-reactivity and neuronal protein variations that may ultimately contribute to the emergence of mental disorders, including psychosis.

Published
2020

43. RELEASE. Communicating simply, but not too simply. Reporting of participants and speech and language interventions for aphasia after stroke

Author

Brady, M. C., Ali, M., VandenBerg, K., Williams, L. J., Williams, L., Abo, M., Becker, F., Bowen, A., Brandenburg, C., Breitenstein, C., Bruehl, S., Copland, D., Cranfill, T. B., di Pietro-Bachmann, M., Enderby, P., Fillingham, J., Galli, F., Gandolfi, M., Glize, B., Godecke, E., Hawkins, N., Hilari, K., Hinckley, J., Horton, S., Howard, D., Jaecks, P., Jefferies, E., Jesus, L.M.T., Kambanaros, M., Kang, E. K., Khedr, E. M., Kong, A. P., Kukkonen, T., Laganaro, M., Lambon-Ralph, M. A., Laska, A., Leemann, B., Leff, A. P., Lima, R. R., Lorenz, A., MacWhinney, B., Marshall, R. S., Mattioli, F., Mavis, I., Meinzer, M., Nilipour, R., Noe, E., Paik, N-J., Palmer, R., Papathanasiou, I., Patrício, B., Martins, I., Price, C., Jakovac, T. P., Rochon, E., Rose, M., Rosso, C., Rubi-Fessen, I., Ruiter, M. B., Snell, C., Stahl, B., Szaflarski, J. P., Thomas, S. A., van de Sandt-Koenderman, M., van der Meulen, I., Visch-Brink, E., Worrall, L., Wright, H. H., Tampere University, Department of Neurosciences and Rehabilitation, Welfare Sciences, and RELEASE Collaboration

Subjects
medicine.medical_specialty, Speech-Language Pathology, 515 Psychology, Applied psychology, Psychological intervention, Context (language use), Language and Linguistics, 3124 Neurology and psychiatry, Language and Speech, Learning and Therapy, Speech and Hearing, complex interventions, Intervention (counseling), Aphasia, medicine, Humans, Uncategorized, Research and Theory, Stroke Rehabilitation, Secondary data, speech and language therapy, Guideline, LPN and LVN, stroke, Checklist, aphasia, Language & Communication, P1, Stroke, Otorhinolaryngology, medicine.symptom, Psychology, RC
Abstract

© 2020, © 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. Purpose: Speech and language pathology (SLP) for aphasia is a complex intervention delivered to a heterogeneous population within diverse settings. Simplistic descriptions of participants and interventions in research hinder replication, interpretation of results, guideline and research developments through secondary data analyses. This study aimed to describe the availability of participant and intervention descriptors in existing aphasia research datasets. Method: We systematically identified aphasia research datasets containing ≥10 participants with information on time since stroke and language ability. We extracted participant and SLP intervention descriptions and considered the availability of data compared to historical and current reporting standards. We developed an extension to the Template for Intervention Description and Replication checklist to support meaningful classification and synthesis of the SLP interventions to support secondary data analysis. Result: Of 11, 314 identified records we screened 1131 full texts and received 75 dataset contributions. We extracted data from 99 additional public domain datasets. Participant age (97.1%) and sex (90.8%) were commonly available. Prior stroke (25.8%), living context (12.1%) and socio-economic status (2.3%) were rarely available. Therapy impairment target, frequency and duration were most commonly available but predominately described at group level. Home practice (46.3%) and tailoring (functional relevance 46.3%) were inconsistently available. Conclusion : Gaps in the availability of participant and intervention details were significant, hampering clinical implementation of evidence into practice and development of our field of research. Improvements in the quality and consistency of participant and intervention data reported in aphasia research are required to maximise clinical implementation, replication in research and the generation of insights from secondary data analysis. Systematic review registration: PROSPERO CRD42018110947.

Published
2020

46. Artificial intelligence ethics guidelines for developers and users : clarifying their content and normative implications

Author

Ryan, Mark, Stahl, B C, Ryan, Mark, and Stahl, B C

Abstract

Purpose: The purpose of this paper is clearly illustrate this convergence and the prescriptive recommendations that such documents entail. There is a significant amount of research into the ethical consequences of artificial intelligence (AI). This is reflected by many outputs across academia, policy and the media. Many of these outputs aim to provide guidance to particular stakeholder groups. It has recently been shown that there is a large degree of convergence in terms of the principles upon which these guidance documents are based. Despite this convergence, it is not always clear how these principles are to be translated into practice. Design/methodology/approach: In this paper, the authors move beyond the high-level ethical principles that are common across the AI ethics guidance literature and provide a description of the normative content that is covered by these principles. The outcome is a comprehensive compilation of normative requirements arising from existing guidance documents. This is not only required for a deeper theoretical understanding of AI ethics discussions but also for the creation of practical and implementable guidance for developers and users of AI. Findings: In this paper, the authors therefore provide a detailed explanation of the normative implications of existing AI ethics guidelines but directed towards developers and organisational users of AI. The authors believe that the paper provides the most comprehensive account of ethical requirements in AI currently available, which is of interest not only to the research and policy communities engaged in the topic but also to the user communities that require guidance when developing or deploying AI systems. Originality/value: The authors believe that they have managed to compile the most comprehensive document collecting existing guidance which can guide practical action but will hopefully also support the consolidation of the guidelines landscape. The authors’ findings should also be of aca, QC 20201214

Published
2020
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48. Short chain fatty acids in human gut and metabolic health

Author

Afd Chemical Biology and Drug Discovery, Chemical Biology and Drug Discovery, Blaak, E. E., Canfora, E. E., Theis, S., Frost, G., Groen, A. K., Mithieux, G., Nauta, A., Scott, K., Stahl, B., van Harsselaar, J., van Tol, R., Vaughan, E. E., Verbeke, K., Afd Chemical Biology and Drug Discovery, Chemical Biology and Drug Discovery, Blaak, E. E., Canfora, E. E., Theis, S., Frost, G., Groen, A. K., Mithieux, G., Nauta, A., Scott, K., Stahl, B., van Harsselaar, J., van Tol, R., Vaughan, E. E., and Verbeke, K.

Published
2020

49. Quantitative Longitudinal Inventory of the N-Glycoproteome of Human Milk from a Single Donor Reveals the Highly Variable Repertoire and Dynamic Site-Specific Changes

Author

Sub Biomol.Mass Spectrometry & Proteom., Afd Biomol.Mass Spect. and Proteomics, Afd Chemical Biology and Drug Discovery, Biomolecular Mass Spectrometry and Proteomics, Chemical Biology and Drug Discovery, Zhu, J., Lin, Y., Dingess, K.A., Mank, M., Stahl, B., Heck, A.J.R., Sub Biomol.Mass Spectrometry & Proteom., Afd Biomol.Mass Spect. and Proteomics, Afd Chemical Biology and Drug Discovery, Biomolecular Mass Spectrometry and Proteomics, Chemical Biology and Drug Discovery, Zhu, J., Lin, Y., Dingess, K.A., Mank, M., Stahl, B., and Heck, A.J.R.

Published
2020

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