84 results on '"Sasse T"'
Search Results
2. Estimated GFR and the Effect of Intensive Blood Pressure Lowering After Acute Intracerebral Hemorrhage
- Author
-
Anderson, C.S., Chalmers, J., Arima, H., Davis, S., Heeley, E., Huang, Y., Lavados, P., Neal, B., Parsons, M.W., Lindley, R., Morgenstern, L., Robinson, T., Stapf, C., Tzourio, C., Wang, J.G., Chen, S., Chen, X.Y., Cui, L., Liu, Z., Lu, C., Wang, J., Wu, S., Xu, E., Yang, Q., Zhang, C., Zhang, J., Beer, R., Schmutzhard, E., Redondo, P., Kaste, M., Soinne, L., Tatlisumak, T., Wartenberg, K., Ricci, S., Klijn, K., Azevedo, E., Chamorro, A., Arnold, M., Fischer, U., Kaul, S., Pandian, J., Boyini, H., Singh, S., Rabinstein, A.A., Estol, C., Silva, G., Olavarria, V.V., Robinson, T.G., Simes, R.J., Bousser, M.-G., Hankey, G., Jamrozik, K., Johnston, S.C., Li, S., Bailey, K., Cheung, T., Delcourt, C., Chintapatla, S., Ducasse, E., Erho, T., Hata, J., Holder, B., Knight, E., Leroux, M., Sassé, T., Odgers, E., Walsh, R., Wolfowicz, Z., Chen, G., Fuentes, S., Peng, B., Schneble, H.-M., Wang, M.-X., Billot, L., Heritier, S., Li, Q., Woodward, M., Abimbola, S., Anderson, S., Chan, E., Cheng, G., Chmielnik, P., Leighton, S., Liu, J.-Y., Rasmussen, B., Saxena, A., Tripathy, S., Armenis, M., Baig, M.A., Naidu, B., Starzec, G., Steley, S., Moles, A., Ruiz, A., Zimmermann, M., Marinho, J., Alves, S., Angelim, R., Araujo, J., Kawakami, L., Bustos, C., Gonzalez, F., Munoz Venturelli, P., Chen, X., Jia, R., Li, N., Qu, S., Shu, Y., Song, A., Sun, J., Xiao, J., Zhao, Y., Huang, Q., Vicaut, E., Chamam, A., Viaud, M.-C., Dert, C., Fiedler, U., Jovis, V., Kabla, S., Marchand, S., Pena, A., Rochaud, V., Mallikarjuna, K., Hasan, N., Berge, E., Sandset, E.C., Forårsveen, A.S., Richardson, D., Kumar, T., Lewin, S., Poulter, N., Field, J., Anjum, A., Wilson, A., Perelmuter, H., Agarie, A.M., Barboza, A.G., Recchia, L.A., Miranda, I.F., Rauek, S.G., Duplessis, R.J., Dewey, H., Walker, L., Petrolo, S., Bladin, C., Sturm, J., Crimmins, D., Griffiths, D., Schutz, A., Zenteno, V., Miteff, F., Spratt, N., Kerr, E., Levi, C.R., Phan, T.G., Ma, H., Sanders, L., Moran, C., Wong, K., Read, S., Henderson, R., Wong, A., Hull, R., Skinner, G., Hand, P., Yan, B., Tu, H., Campbell, B., Blacker, D.J., Wijeratne, T., Pathirage, M., Jasinararchchi, M., Matkovic, Z., Celestino, S., Gruber, F., Vosko, M.R., Diabl, E., Rathmaier, S., Pfausler, B., Helbok, R., Fazekas, F., Fischer, R., Poltrum, B., Zechner, B., Trummer, U., Rutgers, M.P., Peeters, A., Dusart, A., Duray, M.-C., Parmentier, C., Ferrao-Santos, S., Brouns, R., De Raedt, S., De Smedt, A., VanHooff, R.-J., De Keyser, J., Martins, S.C.O., de Almeida, A.G., Broudani, R., Titton, N.F., de Freitas, G.R., Cardoso, F.M., Giesel, L.M., Lima, N.A., Jr, Ferraz de Almeida, A.C., Gomes, R.B., Borges dos Santos, T.S., Veloso Soares, E.M., Neto, O.L.A., Silva, G.S., Gomes, D.L., de Carvalho, F.A., Miranda, M., Marques, A., Zétola, V.F., de Matia, G., Lange, M.C., Montes, J., Reccius, A., Soto, A., Rivas, R., Klapp, C., Illanes, S., Aguilera, C., Castro, A., Figueroa, C., Benavides, J., Salamanca, P., Concha, M.C., Pajarito, J., Araya, P., Guerra, F., Li, Y., Liu, G., Wang, B., Chong, Y., He, M., Wang, L., Liu, J., Zhang, X., Lai, C., Jiang, H., Cui, S., Tao, Q., Zhang, Y., Yao, S., Xu, M., Xiao, H., Hu, J., Tang, J., Ji, H., Jiang, M., Yu, F., Yang, X., Guo, X., Wang, Y., Wu, L., Gao, Y., Sun, D., Huang, X., Liu, L., Li, P., Jiang, Y., Li, H., Lu, H., Zhou, J., Yuan, C., Qi, X., Qiu, F., Qian, H., Wang, W., Sun, W., Li, F., Liu, R., Peng, Q., Ren, Z., Fan, C., Wang, H., Wang, T., Shi, F., Duan, C., Chen, Z., Tan, X., Zhao, Z., Chen, J., Han, T., Zhang, L., Hu, Q., Hou, Q., Zhao, X., Zeng, G., Ma, L., Wang, F., Zeng, L., Guo, Z., Fu, Y., Song, Y., Tai, L., Liu, X., Su, X., Yang, Y., Dong, R., Xu, Y., Tian, S., Cheng, S., Su, L., Xie, X., Xu, T., Geng, D., Yan, X., Fan, H., Zhao, N., Wang, S., Yang, J., Yan, M., Li, L., Li, Z., Xu, X., Lian, Y., Sun, H., Liu, D., Wang, N., Tang, Q., Han, Z., Feng, L., Cui, Y., Tian, J., Chang, H., Sun, X., Liu, C., Wen, Z., Lin, Q., Sun, L., Hu, B., Zou, M., Bao, Q., Lin, X., Zhao, L., Tian, X., Wang, X., Li, X., Hao, L., Duan, Y., Wang, R., Wei, Z., Ren, S., Ren, H., Dong, Y., Cheng, Y., Liu, W., Han, J., Zhang, Z., Zhu, J., Qian, J., Sun, Y., Liu, K., Long, F., Peng, X., Zhang, Q., Yuan, Z., Wang, C., Huang, M., He, P., You, Y., Xia, J., Zhou, L., Hou, Y., Qi, Y., Mei, L., Lu, R., Ping, L., Zhou, S., Zhang, S., Zou, R., Guo, J., Li, M., Wei, W., Curtze, S., Saarela, M., Strbian, D., Scheperjans, F., De Broucker, T., Henry, C., Cumurciuc, R., Ibos-Augé, N., Zéghoudi, A.-C., Pico, F., Dereeper, O., Simian, M.-C., Boisselier, C., Mahfoud, A., Timsit, S., Merrien, F.M., Guillon, B., Sevin, M., Herisson, F., Magne, C., Ameri, A., Cret, C., Stefanizzi, S., Klapzcynski, F., Denier, C., Sarov-Riviere, M., Reiner, P., Mawet, J., Hervé, D., Buffon, F., Touzé, E., Domigo, V., Lamy, C., Calvet, D., Pasquini, M., Alamowitch, S., Favrole, P., Muresan, I.-P., Crozier, S., Rosso, C., Pires, C., Leger, A., Deltour, S., Cordonnier, C., Henon, H., Rossi, C., Zuber, M., Bruandet, M., Tamazyan, R., Join-Lambert, C., Juettler, E., Krause, T., Maul, S., Endres, M., Jungehulsing, G.J., Hennerici, M., Griebe, M., Sauer, T., Knoll, K., Huber, R., Knauer, K., Knauer, C., Raubold, S., Schneider, H., Hentschel, H., Lautenschläger, C., Schimmel, E., Dzialowski, I., Foerch, C., Lorenz, M., Singer, O., Meyer dos Santos, I.M.R., Hartmann, A., Hamann, A., Schacht, A., Schrader, B., Teíchmann, A., Wartenberg, K.E., Mueller, T.J., Jander, S., Gliem, M., Boettcher, C., Rosenkranz, M., Beck, C., Otto, D., Thomalla, G., Cheng, B., Wong, K.S., Leung, T.W., Soo, Y.O.Y., Prabhakar, S., Kesavarapu, S.R., Gajjela, P.K., Chenna, R.R., Ummer, K., Basheer, M., Andipet, A., Jagarlapudi, M.K.M., Mohammed, A.U.R., Pawar, V.G., Eranki, S.S.K., Singh, Y., Akhtar, N., Borah, N.C., Ghose, M., Choudhury, N., Ichaporia, N.R., Shendge, J., Khese, S., Pamidimukkala, V., Inbamuthaiah, P., Nuthakki, S.R., Tagallamudi, N.M.R., Gutti, A.K., Khurana, D., Kesavarapu, P., Jogi, V., Garg, A., Samanta, D., Sarma, G.R.K., Nadig, R., Mathew, T., Anandan, M.A., Caterbi, E., Zini, A., Cavazzuti, M., Casoni, F., Pentore, R., Falzone, F., Mazzoli, T., Greco, L.M., Menichetti, C., Coppola, F., Cenciarelli, S., Gallinella, E., Mattioni, A., Condurso, R., Sicilia, I., Zampolini, M., Corea, F., Barbi, M., Proietti, C., Toni, D., Pieroni, A., Anzini, A., Falcou, A., Demichele, M., Klijn, C.J.M., Tveiten, A., Thortveit, E.T., Pettersen, S., Holand, N., Hitland, B., Johnsen, S.H., Eltoft, A., Wasay, M., Kamal, A., Iqrar, A., Ali, L., Begum, D., Gama, G., Fonseca, L., Moreira, G., Veloso, L.M., Pinheiro, D., Paredes, L., Rozeira, C., Gregorio, T., Segura Martin, T., Ayo, O., Garcia-Garcia, J., Feria Vilar, I., Gómez Fernández, I., Amaro, S., Urra, X., Obach, V., Cervera, A., Silva, Y., Serena, J., Castellanos, M., Terceno, M., Van Eendenburg, C., Weck, A., Findling, O., Lüdi, R., Warburton, E.A., Day, D., Butler, N., Bumanlag, E., Caine, S., Steele, A., Osborn, M., Dodd, E., Murphy, P., Esisi, B., Brown, E., Hayman, R., Baliga, V.K.V., Minphone, M., Kennedy, J., Reckless, I., Pope, G., Teal, R., Michael, K., Manawadu, D., Kalra, L., Lewis, R., Mistry, B., Cattermole, E., Hassan, A., Mandizvidza, L., Bamford, J., Brooks, H., Bedford, C., Whiting, R., Baines, P., Hussain, M., Harvey, M., Fotherby, K., McBride, S., Bourke, P., Morgan, D., Jennings-Preece, K., Price, C., Huntley, S., Riddell, V.E., Storey, G., Lakey, R.L., Subramanian, G., Jenkinson, D., Kwan, J., David, O., Tiwari, D., James, M., Keenan, S., Eastwood, H., Shaw, L., Kaye, P., Button, D., Madigan, B., Williamson, D., Dixit, A., Davis, J., Hossain, M.O., Ford, G.A., Parry-Jones, A., O'Loughlin, V., Jarapa, R., Naing, Z., Lovelock, C., O'Reilly, J., Khan, U., Bhalla, A., Rudd, A., Birns, J., Werring, D.J., Law, R., Perry, R., Jones, I., Erande, R., Roffe, C., Natarajan, I., Ahmad, N., Finney, K., Lucas, J., Mistri, A., Eveson, D., Marsh, R., Haunton, V., Fugate, J.E., Lepore, S.W., Zheng, Danni, Sato, Shoichiro, Arima, Hisatomi, Heeley, Emma, Delcourt, Candice, Cao, Yongjun, Chalmers, John, and Anderson, Craig S.
- Published
- 2016
- Full Text
- View/download PDF
3. Characterization of Transition Edge Sensors for the Simons Observatory
- Author
-
Stevens, J, Cothard, N, Vavagiakis, E, Ali, A, Arnold, K, Austermann, J, Choi, S, Dober, B, Duell, C, Duff, S, Hilton, G, Ho, S, Hoang, T, Hubmayr, J, Lee, A, Mangu, A, Nati, F, Niemack, M, Raum, C, Renzullo, M, Salatino, M, Sasse, T, Simon, S, Staggs, S, Suzuki, A, Truitt, P, Ullom, J, Vivalda, J, Vissers, M, Walker, S, Westbrook, B, Wollack, E, Xu, Z, Yohannes, D, Stevens J. R., Cothard N. F., Vavagiakis E. M., Ali A., Arnold K., Austermann J. E., Choi S. K., Dober B. J., Duell C., Duff S. M., Hilton G. C., Ho S. -P. P., Hoang T. D., Hubmayr J., Lee A. T., Mangu A., Nati F., Niemack M. D., Raum C., Renzullo M., Salatino M., Sasse T., Simon S. M., Staggs S., Suzuki A., Truitt P., Ullom J., Vivalda J., Vissers M. R., Walker S., Westbrook B., Wollack E. J., Xu Z., Yohannes D., Stevens, J, Cothard, N, Vavagiakis, E, Ali, A, Arnold, K, Austermann, J, Choi, S, Dober, B, Duell, C, Duff, S, Hilton, G, Ho, S, Hoang, T, Hubmayr, J, Lee, A, Mangu, A, Nati, F, Niemack, M, Raum, C, Renzullo, M, Salatino, M, Sasse, T, Simon, S, Staggs, S, Suzuki, A, Truitt, P, Ullom, J, Vivalda, J, Vissers, M, Walker, S, Westbrook, B, Wollack, E, Xu, Z, Yohannes, D, Stevens J. R., Cothard N. F., Vavagiakis E. M., Ali A., Arnold K., Austermann J. E., Choi S. K., Dober B. J., Duell C., Duff S. M., Hilton G. C., Ho S. -P. P., Hoang T. D., Hubmayr J., Lee A. T., Mangu A., Nati F., Niemack M. D., Raum C., Renzullo M., Salatino M., Sasse T., Simon S. M., Staggs S., Suzuki A., Truitt P., Ullom J., Vivalda J., Vissers M. R., Walker S., Westbrook B., Wollack E. J., Xu Z., and Yohannes D.
- Abstract
The Simons Observatory is building both large (6 m) and small (0.5 m) aperture telescopes in the Atacama Desert in Chile to observe the cosmic microwave background CMB radiation with unprecedented sensitivity. Simons Observatory telescopes in total will use over 60,000 transition edge sensor (TES) detectors spanning center frequencies between 27 and 285 GHz and operating near 100 mK. TES devices have been fabricated for the Simons Observatory by NIST, Berkeley, and HYPRES/SeeQC corporation. Iterations of these devices have been tested cryogenically in order to inform the fabrication of further devices, which will culminate in the final TES designs to be deployed in the field. The detailed design specifications have been independently iterated at each fabrication facility for particular detector frequencies. We present test results for prototype devices, with emphasis on NIST high frequency detectors. A dilution refrigerator was used to achieve the required temperatures. Measurements were taken both with 4-lead resistance measurements and with a time-domain Superconducting Quantum Interference Device (SQUID) multiplexer system. The SQUID readout measurements include analysis of current versus voltage (IV) curves at various temperatures, square wave bias step measurements, and detector noise measurements. Normal resistance, superconducting critical temperature, saturation power, thermal and natural time constants, and thermal properties of the devices are extracted from these measurements.
- Published
- 2020
4. Cell-Free Expression of the His-Tagged Recombinant Prolactin-Like Placenta Protein E Using the RTS 500 System
- Author
-
Bittorf, Thomas, Sasse, T., Stigge, G., Müller, H., and Swartz, James R., editor
- Published
- 2003
- Full Text
- View/download PDF
5. TGFβ-1 mRNA Expression and Proliferation of Human Osteoblastic Cells in Nonosteoporotic and Osteoporotic Women under Influence of TGFβ-1 and IGF-I
- Author
-
Sasse, T., Becker, P., Dorfling, P., Schuhr, T., and Brock, J.
- Published
- 1998
- Full Text
- View/download PDF
6. Are adipose-derived stem cells cultivated in human platelet lysate suitable for heart valve tissue engineering?
- Author
-
Frese, L., Sasse, T., Sanders, B., Baaijens, F.P.T., Beer, G.M., Hoerstrup, S.P., and Soft Tissue Biomech. & Tissue Eng.
- Subjects
Adipose-derived stem cells ,Heart valves ,SDG 3 - Good Health and Well-being ,Tissue engineering ,Human platelet lysate ,Fetal calf serum ,Tensile strength - Abstract
Tissue-engineered heart valves represent a promising strategy for the growing need for valve replacements in cardiovascular medicine. Recent studies have shown that adipose-derived stem cells (ADSC) are a viable cell source, as they are readily available in both the young and the elderly, show diverse differentiation potential and adapt their extracellular matrix (ECM) to a varying mechanical load. In vitro culture medium is usually enriched with fetal calf serum (FCS). However, a promising substitute has recently been found in human platelet lysate (HPL), which is superior in terms of proliferation speed and allogenicity. This study sought to elucidate the suitability of ADSC and HPL for heart valve tissue engineering (TE). ADSC harvested from five healthy individuals were cultured in both FCS and HPL. The cells were observed for differentiation potential, proliferation speed and immunophenotype, using immunohistochemistry and FACS analysis. Neotissue was assessed for ECM composition, human collagen I (hColl1) formation, histomorphology and mechanical stiffness under uniaxial tensile stress. Neotissue cultured in HPL was found to be significantly inferior in mechanical rigidity; it showed a three-fold higher proliferation rate and a more dense ECM, but also a more heterogeneous hColl1 distribution. ECM analysis showed significantly higher amounts of DNA and glycosaminoglycans (GAG) in HPL-cultured tissue. No significant differences were observed for differentiation potential and immunophenotype, apart from a lower CD166 expression in HPL. The mechanical inferiority of neotissue cultured in HPL represents a limitation to the use of HPL-enriched media for heart valve TE with ADSC. This result concurs with data published about HPL and myofibroblasts derived from the venous wall. Similarly, the mechanical inferiority is not rooted in a difference in ECM composition, but rather in hColl1 architecture. Stem cell properties, as documented in the literature, are retained with HPL. A possible connection between the mechanical inferiority and the observed decrease in CD166 needs further investigation.
- Published
- 2017
7. Data-based estimates of the ocean carbon sink variability – First results of the Surface Ocean pCO2 Mapping intercomparison (SOCOM)
- Author
-
Rödenbeck, C., Bakker, D., Gruber, N., Iida, Y., Jacobson, A., Jones, S., Landschützer, P., Metzl, N., Nakaoka, S., Olsen, A., Park, G., Peylin, P., Rodgers, K., Sasse, T., Schuster, U., Shutler, J., Valsala, V., Wanninkhof, R., Zeng, J., Max-Planck-Institut, University of East Anglia [Norwich] (UEA), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), Japan Meteorological Agency (JMA), University of Colorado [Boulder], NOAA Earth System Research Laboratory (ESRL), National Oceanic and Atmospheric Administration (NOAA), University of Exeter, Équipe CO2 (E-CO2), Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN), Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), National Institute for Environmental Studies (NIES), Bjerknes Centre for Climate Research (BCCR), Department of Biological Sciences [Bergen] (BIO / UiB), University of Bergen (UiB)-University of Bergen (UiB), Korea Institute of Ocean Science and Technology (KIOST), Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Princeton University, University of New South Wales [Sydney] (UNSW), Indian Institute of Tropical Meteorology (IITM), NOAA Atlantic Oceanographic and Meteorological Laboratory (AOML), European Project: 264879,EC:FP7:ENV,FP7-ENV-2010,CARBOCHANGE(2011), European Project: 283080,EC:FP7:ENV,FP7-ENV-2011,GEOCARBON(2011), Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Muséum national d'Histoire naturelle (MNHN)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Muséum national d'Histoire naturelle (MNHN)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), University of Bergen (UiB), Chemistry Department [Massachusetts Institute of Technology], Massachusetts Institute of Technology (MIT), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Modélisation des Surfaces et Interfaces Continentales (MOSAIC), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), and Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)
- Subjects
lcsh:Geology ,lcsh:QH501-531 ,lcsh:QH540-549.5 ,lcsh:QE1-996.5 ,lcsh:Life ,[PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph] ,lcsh:Ecology - Abstract
Using measurements of the surface-ocean CO2 partial pressure (pCO2) and 14 different pCO2 mapping methods recently collated by the Surface Ocean pCO2 Mapping intercomparison (SOCOM) initiative, variations in regional and global sea–air CO2 fluxes are investigated. Though the available mapping methods use widely different approaches, we find relatively consistent estimates of regional pCO2 seasonality, in line with previous estimates. In terms of interannual variability (IAV), all mapping methods estimate the largest variations to occur in the eastern equatorial Pacific. Despite considerable spread in the detailed variations, mapping methods that fit the data more closely also tend to agree more closely with each other in regional averages. Encouragingly, this includes mapping methods belonging to complementary types – taking variability either directly from the pCO2 data or indirectly from driver data via regression. From a weighted ensemble average, we find an IAV amplitude of the global sea–air CO2 flux of 0.31 PgC yr−1 (standard deviation over 1992–2009), which is larger than simulated by biogeochemical process models. From a decadal perspective, the global ocean CO2 uptake is estimated to have gradually increased since about 2000, with little decadal change prior to that. The weighted mean net global ocean CO2 sink estimated by the SOCOM ensemble is −1.75 PgC yr−1 (1992–2009), consistent within uncertainties with estimates from ocean-interior carbon data or atmospheric oxygen trends.
- Published
- 2015
8. Detector fabrication development for the LiteBIRD satellite mission
- Author
-
Lystrup, Makenzie, Perrin, Marshall D., Westbrook, B., Raum, C., Beckman, S., Lee, A. T., Farias, N., Sasse, T., Suzuki, A., Kane, E., Austermann, J. E., Beall, J. A., Duff, S. M., Hubmayr, J., Hilton, G. C., Van Lanen, J., Vissers, M. R., Link, M. R., Halverson, N., Jaehnig, G., Ghinga, T., Stever, S., Minami, Y., Thompson, K. L., Russell, M., Arnold, K., Seibert, J., and Silva-Feaver, M.
- Published
- 2020
- Full Text
- View/download PDF
9. Aufklärung der epidemiologischen Bedeutung von PCR-basierten EHEC-Labormeldungen nach §7 IfSG (Beispiel einer Zusammenarbeit zwischen klinischen Laboren und ÖGD-Laboren in M-V).
- Author
-
Demihovska, E, additional, Sasse, T, additional, Ziems, G, additional, and Littmann, M, additional
- Published
- 2017
- Full Text
- View/download PDF
10. Data-based estimates of the ocean carbon sink variability – First results of the Surface Ocean pCO2 Mapping intercomparison (SOCOM)
- Author
-
Rödenbeck, Christian, Bakker, Dorothee C. E., Gruber, Nicolas, Iida, Yosuke, Jacobson, Andrew R., Jones, S., Metzl, Nicolas, Nakaoka, Shin-Ichiro, Olsen, Are, Park, Geun-Ha, Peylin, Philippe, Rodgers, Keith B., Sasse, T. P., Schuster, Ute, Shutler, J. D., Valsala, Vinu, Wanninkhof, Rik H., Zeng, J., Max-Planck-Institut für Biogeochemie (MPI-BGC), University of East Anglia [Norwich] (UEA), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), Japan Meteorological Agency (JMA), University of Colorado [Boulder], Institut de Physique de Rennes (IPR), Université de Rennes (UR)-Centre National de la Recherche Scientifique (CNRS), Équipe CO2 (E-CO2), Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN), Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), National Institute for Environmental Studies (NIES), University of Leeds, Chemistry Department [Massachusetts Institute of Technology], Massachusetts Institute of Technology (MIT), Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Princeton University, University of New South Wales [Sydney] (UNSW), College of Life and Environmental Sciences [Exeter], University of Exeter, Centre for Climate Change Research [Pune] (CCCR), Indian Institute of Tropical Meteorology (IITM), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Muséum national d'Histoire naturelle (MNHN)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Muséum national d'Histoire naturelle (MNHN)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), and Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)
- Subjects
[PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph] ,ComputingMilieux_MISCELLANEOUS - Abstract
International audience
- Published
- 2015
11. Data-based estimates of the ocean carbon sink variability - The Surface Ocean pCO2 Mapping intercomparison (SOCOM)
- Author
-
Roedenbeck, Christian, Bakker, Dorothee C.E., Gruber, Nicolas, Iida, Y., Jacobson, A. R., Jones, S., Landschuetzer, Peter, Metzl, Nicolas, Nakaoka, Shin-ichiro, Olsen, Are, Park, G.-H., Peylin, P., Rodgers, K. B., Sasse, T. P., Schuster, U., Shutler, J. D., Valsala, V., Wanninkhof, Rik, and Zeng, J.
- Abstract
Using measurements of the surface-ocean CO2 partial pressure (pCO2) and 14 different pCO2 mapping methods recently collated by the Surface Ocean pCO2 Mapping intercomparison (SOCOM) initiative, variations in regional and global sea–air CO2 fluxes 5 have been investigated. Though the available mapping methods use widely different approaches, we find relatively consistent estimates of regional pCO2 seasonality, in line with previous estimates. In terms of interannual variability (IAV), all mapping methods estimate the largest variations to occur in the Eastern equatorial Pacific. Despite considerable spread in the detailed variations, mapping methods with closer match to the 10 data also tend to be more consistent with each other. Encouragingly, this includes mapping methods belonging to complementary types – taking variability either directly from the pCO2 data or indirectly from driver data via regression. From a weighted ensemble average, we find an IAV amplitude of the global sea–air CO2 flux of 0.31 PgC yr-1 (standard deviation over 1992–2009), which is larger than simulated by biogeochemical 15 process models. On a decadal perspective, the global CO2 uptake is estimated to have gradually increased since about 2000, with little decadal change prior to 2000. The weighted mean total ocean CO2 sink estimated by the SOCOM ensemble is consistent within uncertainties with estimates from ocean-interior carbon data or atmospheric oxygen trends.
- Published
- 2015
12. Estimated GFR and the Effect of Intensive Blood Pressure Lowering after Acute Intracerebral Hemorrhage.
- Author
-
Fischer R., Gama G., Fonseca L., Moreira G., Veloso L.M., Pinheiro D., Paredes L., Rozeira C., Gregorio T., Segura Martin T., Ayo O., Garcia-Garcia J., Feria Vilar I., Gomez Fernandez I., Amaro S., Urra X., Obach V., Cervera A., Silva Y., Serena J., Castellanos M., Terceno M., Van Eendenburg C., Weck A., Findling O., Ludi R., Warburton E.A., Day D., Butler N., Bumanlag E., Caine S., Steele A., Osborn M., Dodd E., Murphy P., Esisi B., Brown E., Hayman R., Baliga V.K.V., Minphone M., Kennedy J., Reckless I., Pope G., Teal R., Michael K., Manawadu D., Kalra L., Lewis R., Mistry B., Cattermole E., Hassan A., Mandizvidza L., Bamford J., Brooks H., Bedford C., Whiting R., Baines P., Hussain M., Harvey M., Fotherby K., McBride S., Bourke P., Morgan D., Jennings-Preece K., Price C., Huntley S., Riddell V.E., Storey G., Lakey R.L., Subramanian G., Jenkinson D., Kwan J., David O., Tiwari D., James M., Keenan S., Eastwood H., Shaw L., Kaye P., Button D., Madigan B., Williamson D., Dixit A., Davis J., Hossain M.O., Ford G.A., Parry-Jones A., O'Loughlin V., Jarapa R., Naing Z., Lovelock C., O'Reilly J., Khan U., Bhalla A., Rudd A., Birns J., Werring D.J., Law R., Perry R., Jones I., Erande R., Roffe C., Natarajan I., Ahmad N., Finney K., Lucas J., Mistri A., Eveson D., Marsh R., Haunton V., Fugate J.E., Lepore S.W., Zheng D., Sato S., Arima H., Heeley E., Delcourt C., Cao Y., Chalmers J., Anderson C.S., Davis S., Huang Y., Lavados P., Neal B., Parsons M.W., Lindley R., Morgenstern L., Robinson T., Stapf C., Tzourio C., Wang J.G., Chen S., Chen X.Y., Cui L., Liu Z., Lu C., Wang J., Wu S., Xu E., Yang Q., Zhang C., Zhang J., Beer R., Schmutzhard E., Redondo P., Kaste M., Soinne L., Tatlisumak T., Wartenberg K., Ricci S., Klijn K., Azevedo E., Chamorro A., Arnold M., Fischer U., Kaul S., Pandian J., Boyini H., Singh S., Rabinstein A.A., Estol C., Silva G., Olavarria V.V., Robinson T.G., Simes R.J., Bousser M.-G., Hankey G., Jamrozik K., Johnston S.C., Li S., Bailey K., Cheung T., Chintapatla S., Ducasse E., Erho T., Hata J., Holder B., Knight E., Leroux M., Sasse T., Odgers E., Walsh R., Wolfowicz Z., Chen G., Fuentes S., Peng B., Schneble H.-M., Wang M.-X., Billot L., Heritier S., Li Q., Woodward M., Abimbola S., Anderson S., Chan E., Cheng G., Chmielnik P., Leighton S., Liu J.-Y., Rasmussen B., Saxena A., Tripathy S., Armenis M., Baig M.A., Naidu B., Starzec G., Steley S., Moles A., Ruiz A., Zimmermann M., Marinho J., Alves S., Angelim R., Araujo J., Kawakami L., Bustos C., Gonzalez F., Munoz Venturelli P., Chen X., Jia R., Li N., Qu S., Shu Y., Song A., Sun J., Xiao J., Zhao Y., Huang Q., Vicaut E., Chamam A., Viaud M.-C., Dert C., Fiedler U., Jovis V., Kabla S., Marchand S., Pena A., Mallikarjuna K., Hasan N., Berge E., Sandset E.C., Forarsveen A.S., Richardson D., Kumar T., Lewin S., Poulter N., Field J., Anjum A., Wilson A., Perelmuter H., Agarie A.M., Barboza A.G., Recchia L.A., Miranda I.F., Rauek S.G., Duplessis R.J., Dewey H., Walker L., Petrolo S., Bladin C., Sturm J., Crimmins D., Griffiths D., Schutz A., Zenteno V., Miteff F., Spratt N., Kerr E., Levi C.R., Phan T.G., Ma H., Sanders L., Moran C., Wong K., Read S., Henderson R., Wong A., Hull R., Skinner G., Hand P., Yan B., Tu H., Campbell B., Blacker D.J., Wijeratne T., Pathirage M., Jasinararchchi M., Matkovic Z., Celestino S., Gruber F., Vosko M.R., Diabl E., Rathmaier S., Pfausler B., Helbok R., Fazekas F., Poltrum B., Zechner B., Trummer U., Rutgers M.P., Peeters A., Dusart A., Duray M.-C., Parmentier C., Ferrao-Santos S., Brouns R., De Raedt S., De Smedt A., Vanhooff R.-J., De Keyser J., Martins S.C.O., De Almeida A.G., Broudani R., Titton N.F., De Freitas G.R., Cardoso F.M., Giesel L.M., Lima N.A., Ferraz De Almeida A.C., Gomes R.B., Borges Dos Santos T.S., Veloso Soares E.M., Neto O.L.A., Silva G.S., Gomes D.L., De Carvalho F.A., Miranda M., Marques A., Zetola V.F., De Matia G., Lange M.C., Montes J., Reccius A., Soto A., Rivas R., Klapp C., Illanes S., Aguilera C., Castro A., Figueroa C., Benavides J., Salamanca P., Concha M.C., Pajarito J., Araya P., Guerra F., Li Y., Liu G., Wang B., Chong Y., He M., Wang L., Liu J., Zhang X., Lai C., Jiang H., Cui S., Tao Q., Zhang Y., Yao S., Xu M., Xiao H., Hu J., Tang J., Ji H., Jiang M., Yu F., Yang X., Guo X., Wang Y., Wu L., Gao Y., Sun D., Huang X., Liu L., Li P., Jiang Y., Li H., Lu H., Zhou J., Yuan C., Qi X., Qiu F., Qian H., Wang W., Sun W., Li F., Liu R., Peng Q., Ren Z., Fan C., Wang H., Wang T., Shi F., Duan C., Chen Z., Tan X., Zhao Z., Chen J., Han T., Zhang L., Hu Q., Hou Q., Zhao X., Zeng G., Ma L., Wang F., Guo Z., Fu Y., Song Y., Tai L., Liu X., Su X., Yang Y., Dong R., Xu Y., Tian S., Cheng S., Su L., Xie X., Xu T., Geng D., Yan X., Fan H., Zhao N., Wang S., Yang J., Yan M., Li L., Li Z., Xu X., Lian Y., Sun H., Liu D., Wang N., Tang Q., Han Z., Feng L., Cui Y., Tian J., Chang H., Sun X., Liu C., Wen Z., Lin Q., Sun L., Hu B., Zou M., Bao Q., Lin X., Zhao L., Tian X., Wang X., Li X., Hao L., Duan Y., Wang R., Wei Z., Ren S., Ren H., Dong Y., Cheng Y., Liu W., Han J., Zhang Z., Zhu J., Qian J., Sun Y., Liu K., Long F., Peng X., Zhang Q., Yuan Z., Wang C., Huang M., He P., You Y., Xia J., Zhou L., Hou Y., Qi Y., Mei L., Lu R., Ping L., Zhou S., Zhang S., Zou R., Guo J., Li M., Wei W., Curtze S., Saarela M., Strbian D., Scheperjans F., De Broucker T., Henry C., Cumurciuc R., Ibos-Auge N., Zeghoudi A.-C., Pico F., Dereeper O., Simian M.-C., Boisselier C., Mahfoud A., Timsit S., Merrien F.M., Guillon B., Sevin M., Herisson F., Magne C., Ameri A., Cret C., Stefanizzi S., Klapzcynski F., Denier C., Sarov-Riviere M., Reiner P., Mawet J., Herve D., Buffon F., Touze E., Domigo V., Lamy C., Calvet D., Pasquini M., Alamowitch S., Favrole P., Muresan I.-P., Crozier S., Rosso C., Pires C., Leger A., Deltour S., Cordonnier C., Henon H., Rossi C., Zuber M., Bruandet M., Tamazyan R., Join-Lambert C., Juettler E., Krause T., Maul S., Endres M., Jungehulsing G.J., Hennerici M., Griebe M., Sauer T., Knoll K., Huber R., Knauer K., Knauer C., Raubold S., Schneider H., Hentschel H., Lautenschlager C., Schimmel E., Dzialowski I., Foerch C., Lorenz M., Singer O., Meyer Dos Santos I.M.R., Hartmann A., Hamann A., Schacht A., Schrader B., Teichmann A., Wartenberg K.E., Mueller T.J., Jander S., Gliem M., Boettcher C., Rosenkranz M., Beck C., Otto D., Thomalla G., Cheng B., Wong K.S., Leung T.W., Soo Y.O.Y., Prabhakar S., Kesavarapu S.R., Gajjela P.K., Chenna R.R., Ummer K., Basheer M., Andipet A., Jagarlapudi M.K.M., Mohammed A.U.R., Pawar V.G., Eranki S.S.K., Singh Y., Akhtar N., Borah N.C., Ghose M., Choudhury N., Ichaporia N.R., Shendge J., Khese S., Pamidimukkala V., Inbamuthaiah P., Nuthakki S.R., Tagallamudi N.M.R., Gutti A.K., Khurana D., Kesavarapu P., Jogi V., Garg A., Samanta D., Sarma G.R.K., Nadig R., Mathew T., Anandan M.A., Caterbi E., Zini A., Cavazzuti M., Casoni F., Pentore R., Falzone F., Mazzoli T., Greco L.M., Menichetti C., Coppola F., Cenciarelli S., Gallinella E., Mattioni A., Condurso R., Sicilia I., Zampolini M., Corea F., Barbi M., Proietti C., Toni D., Pieroni A., Anzini A., Falcou A., Demichele M., Klijn C.J.M., Tveiten A., Thortveit E.T., Pettersen S., Holand N., Hitland B., Johnsen S.H., Eltoft A., Wasay M., Kamal A., Iqrar A., Ali L., Begum D., Fischer R., Gama G., Fonseca L., Moreira G., Veloso L.M., Pinheiro D., Paredes L., Rozeira C., Gregorio T., Segura Martin T., Ayo O., Garcia-Garcia J., Feria Vilar I., Gomez Fernandez I., Amaro S., Urra X., Obach V., Cervera A., Silva Y., Serena J., Castellanos M., Terceno M., Van Eendenburg C., Weck A., Findling O., Ludi R., Warburton E.A., Day D., Butler N., Bumanlag E., Caine S., Steele A., Osborn M., Dodd E., Murphy P., Esisi B., Brown E., Hayman R., Baliga V.K.V., Minphone M., Kennedy J., Reckless I., Pope G., Teal R., Michael K., Manawadu D., Kalra L., Lewis R., Mistry B., Cattermole E., Hassan A., Mandizvidza L., Bamford J., Brooks H., Bedford C., Whiting R., Baines P., Hussain M., Harvey M., Fotherby K., McBride S., Bourke P., Morgan D., Jennings-Preece K., Price C., Huntley S., Riddell V.E., Storey G., Lakey R.L., Subramanian G., Jenkinson D., Kwan J., David O., Tiwari D., James M., Keenan S., Eastwood H., Shaw L., Kaye P., Button D., Madigan B., Williamson D., Dixit A., Davis J., Hossain M.O., Ford G.A., Parry-Jones A., O'Loughlin V., Jarapa R., Naing Z., Lovelock C., O'Reilly J., Khan U., Bhalla A., Rudd A., Birns J., Werring D.J., Law R., Perry R., Jones I., Erande R., Roffe C., Natarajan I., Ahmad N., Finney K., Lucas J., Mistri A., Eveson D., Marsh R., Haunton V., Fugate J.E., Lepore S.W., Zheng D., Sato S., Arima H., Heeley E., Delcourt C., Cao Y., Chalmers J., Anderson C.S., Davis S., Huang Y., Lavados P., Neal B., Parsons M.W., Lindley R., Morgenstern L., Robinson T., Stapf C., Tzourio C., Wang J.G., Chen S., Chen X.Y., Cui L., Liu Z., Lu C., Wang J., Wu S., Xu E., Yang Q., Zhang C., Zhang J., Beer R., Schmutzhard E., Redondo P., Kaste M., Soinne L., Tatlisumak T., Wartenberg K., Ricci S., Klijn K., Azevedo E., Chamorro A., Arnold M., Fischer U., Kaul S., Pandian J., Boyini H., Singh S., Rabinstein A.A., Estol C., Silva G., Olavarria V.V., Robinson T.G., Simes R.J., Bousser M.-G., Hankey G., Jamrozik K., Johnston S.C., Li S., Bailey K., Cheung T., Chintapatla S., Ducasse E., Erho T., Hata J., Holder B., Knight E., Leroux M., Sasse T., Odgers E., Walsh R., Wolfowicz Z., Chen G., Fuentes S., Peng B., Schneble H.-M., Wang M.-X., Billot L., Heritier S., Li Q., Woodward M., Abimbola S., Anderson S., Chan E., Cheng G., Chmielnik P., Leighton S., Liu J.-Y., Rasmussen B., Saxena A., Tripathy S., Armenis M., Baig M.A., Naidu B., Starzec G., Steley S., Moles A., Ruiz A., Zimmermann M., Marinho J., Alves S., Angelim R., Araujo J., Kawakami L., Bustos C., Gonzalez F., Munoz Venturelli P., Chen X., Jia R., Li N., Qu S., Shu Y., Song A., Sun J., Xiao J., Zhao Y., Huang Q., Vicaut E., Chamam A., Viaud M.-C., Dert C., Fiedler U., Jovis V., Kabla S., Marchand S., Pena A., Mallikarjuna K., Hasan N., Berge E., Sandset E.C., Forarsveen A.S., Richardson D., Kumar T., Lewin S., Poulter N., Field J., Anjum A., Wilson A., Perelmuter H., Agarie A.M., Barboza A.G., Recchia L.A., Miranda I.F., Rauek S.G., Duplessis R.J., Dewey H., Walker L., Petrolo S., Bladin C., Sturm J., Crimmins D., Griffiths D., Schutz A., Zenteno V., Miteff F., Spratt N., Kerr E., Levi C.R., Phan T.G., Ma H., Sanders L., Moran C., Wong K., Read S., Henderson R., Wong A., Hull R., Skinner G., Hand P., Yan B., Tu H., Campbell B., Blacker D.J., Wijeratne T., Pathirage M., Jasinararchchi M., Matkovic Z., Celestino S., Gruber F., Vosko M.R., Diabl E., Rathmaier S., Pfausler B., Helbok R., Fazekas F., Poltrum B., Zechner B., Trummer U., Rutgers M.P., Peeters A., Dusart A., Duray M.-C., Parmentier C., Ferrao-Santos S., Brouns R., De Raedt S., De Smedt A., Vanhooff R.-J., De Keyser J., Martins S.C.O., De Almeida A.G., Broudani R., Titton N.F., De Freitas G.R., Cardoso F.M., Giesel L.M., Lima N.A., Ferraz De Almeida A.C., Gomes R.B., Borges Dos Santos T.S., Veloso Soares E.M., Neto O.L.A., Silva G.S., Gomes D.L., De Carvalho F.A., Miranda M., Marques A., Zetola V.F., De Matia G., Lange M.C., Montes J., Reccius A., Soto A., Rivas R., Klapp C., Illanes S., Aguilera C., Castro A., Figueroa C., Benavides J., Salamanca P., Concha M.C., Pajarito J., Araya P., Guerra F., Li Y., Liu G., Wang B., Chong Y., He M., Wang L., Liu J., Zhang X., Lai C., Jiang H., Cui S., Tao Q., Zhang Y., Yao S., Xu M., Xiao H., Hu J., Tang J., Ji H., Jiang M., Yu F., Yang X., Guo X., Wang Y., Wu L., Gao Y., Sun D., Huang X., Liu L., Li P., Jiang Y., Li H., Lu H., Zhou J., Yuan C., Qi X., Qiu F., Qian H., Wang W., Sun W., Li F., Liu R., Peng Q., Ren Z., Fan C., Wang H., Wang T., Shi F., Duan C., Chen Z., Tan X., Zhao Z., Chen J., Han T., Zhang L., Hu Q., Hou Q., Zhao X., Zeng G., Ma L., Wang F., Guo Z., Fu Y., Song Y., Tai L., Liu X., Su X., Yang Y., Dong R., Xu Y., Tian S., Cheng S., Su L., Xie X., Xu T., Geng D., Yan X., Fan H., Zhao N., Wang S., Yang J., Yan M., Li L., Li Z., Xu X., Lian Y., Sun H., Liu D., Wang N., Tang Q., Han Z., Feng L., Cui Y., Tian J., Chang H., Sun X., Liu C., Wen Z., Lin Q., Sun L., Hu B., Zou M., Bao Q., Lin X., Zhao L., Tian X., Wang X., Li X., Hao L., Duan Y., Wang R., Wei Z., Ren S., Ren H., Dong Y., Cheng Y., Liu W., Han J., Zhang Z., Zhu J., Qian J., Sun Y., Liu K., Long F., Peng X., Zhang Q., Yuan Z., Wang C., Huang M., He P., You Y., Xia J., Zhou L., Hou Y., Qi Y., Mei L., Lu R., Ping L., Zhou S., Zhang S., Zou R., Guo J., Li M., Wei W., Curtze S., Saarela M., Strbian D., Scheperjans F., De Broucker T., Henry C., Cumurciuc R., Ibos-Auge N., Zeghoudi A.-C., Pico F., Dereeper O., Simian M.-C., Boisselier C., Mahfoud A., Timsit S., Merrien F.M., Guillon B., Sevin M., Herisson F., Magne C., Ameri A., Cret C., Stefanizzi S., Klapzcynski F., Denier C., Sarov-Riviere M., Reiner P., Mawet J., Herve D., Buffon F., Touze E., Domigo V., Lamy C., Calvet D., Pasquini M., Alamowitch S., Favrole P., Muresan I.-P., Crozier S., Rosso C., Pires C., Leger A., Deltour S., Cordonnier C., Henon H., Rossi C., Zuber M., Bruandet M., Tamazyan R., Join-Lambert C., Juettler E., Krause T., Maul S., Endres M., Jungehulsing G.J., Hennerici M., Griebe M., Sauer T., Knoll K., Huber R., Knauer K., Knauer C., Raubold S., Schneider H., Hentschel H., Lautenschlager C., Schimmel E., Dzialowski I., Foerch C., Lorenz M., Singer O., Meyer Dos Santos I.M.R., Hartmann A., Hamann A., Schacht A., Schrader B., Teichmann A., Wartenberg K.E., Mueller T.J., Jander S., Gliem M., Boettcher C., Rosenkranz M., Beck C., Otto D., Thomalla G., Cheng B., Wong K.S., Leung T.W., Soo Y.O.Y., Prabhakar S., Kesavarapu S.R., Gajjela P.K., Chenna R.R., Ummer K., Basheer M., Andipet A., Jagarlapudi M.K.M., Mohammed A.U.R., Pawar V.G., Eranki S.S.K., Singh Y., Akhtar N., Borah N.C., Ghose M., Choudhury N., Ichaporia N.R., Shendge J., Khese S., Pamidimukkala V., Inbamuthaiah P., Nuthakki S.R., Tagallamudi N.M.R., Gutti A.K., Khurana D., Kesavarapu P., Jogi V., Garg A., Samanta D., Sarma G.R.K., Nadig R., Mathew T., Anandan M.A., Caterbi E., Zini A., Cavazzuti M., Casoni F., Pentore R., Falzone F., Mazzoli T., Greco L.M., Menichetti C., Coppola F., Cenciarelli S., Gallinella E., Mattioni A., Condurso R., Sicilia I., Zampolini M., Corea F., Barbi M., Proietti C., Toni D., Pieroni A., Anzini A., Falcou A., Demichele M., Klijn C.J.M., Tveiten A., Thortveit E.T., Pettersen S., Holand N., Hitland B., Johnsen S.H., Eltoft A., Wasay M., Kamal A., Iqrar A., Ali L., and Begum D.
- Abstract
Background: The kidney-brain interaction has been a topic of growing interest. Past studies of the effect of kidney function on intracerebral hemorrhage (ICH) outcomes have yielded inconsistent findings. Although the second, main phase of the Intensive Blood Pressure Reduction in Acute Cerebral Hemorrhage Trial (INTERACT2) suggests the effectiveness of early intensive blood pressure (BP) lowering in improving functional recovery after ICH, the balance of potential benefits and harms of this treatment in those with decreased kidney function remains uncertain. Study Design: Secondary analysis of INTERACT2, which randomly assigned patients with ICH with elevated systolic BP (SBP) to intensive (target SBP < 140 mm Hg) or contemporaneous guideline-based (target SBP < 180 mm Hg) BP management. Setting & Participants: 2,823 patients from 144 clinical hospitals in 21 countries. Predictors Admission estimated glomerular filtration rates (eGFRs) of patients were categorized into 3 groups based on the CKD-EPI (Chronic Kidney Disease Epidemiology Collaboration) creatinine equation: normal or high, mildly decreased, and moderately to severely decreased (>90, 60-90, and <60 mL/min/1.73 m2, respectively). Outcome(s): The effect of admission eGFR on the primary outcome of death or major disability at 90 days (defined as modified Rankin Scale scores of 3-6) was analyzed using a multivariable logistic regression model. Potential effect modification of intensive BP lowering treatment by admission eGFR was assessed by interaction terms. Result(s): Of 2,623 included participants, 912 (35%) and 280 (11%) had mildly and moderately/severely decreased eGFRs, respectively. Patients with moderately/severely decreased eGFRs had the greatest risk for death or major disability at 90 days (adjusted OR, 1.82; 95% CI, 1.28-2.61). Effects of early intensive BP lowering were consistent across different eGFRs (P = 0.5 for homogeneity). Limitation(s): Generalizability issues arising from a clinical tri
- Published
- 2016
13. Quantifying the influence of CO2 seasonality on future aragonite undersaturation onset
- Author
-
Sasse, T. P., Mcneil, B. I., Matear, R. J., Lenton, A., Sasse, T. P., Mcneil, B. I., Matear, R. J., and Lenton, A.
- Abstract
Ocean acidification is a predictable consequence of rising atmospheric carbon dioxide (CO2), and is highly likely to impact the entire marine ecosystem - from plankton at the base of the food chain to fish at the top. Factors which are expected to be impacted include reproductive health, organism growth and species composition and distribution. Predicting when critical threshold values will be reached is crucial for projecting the future health of marine ecosystems and for marine resources planning and management. The impacts of ocean acidification will be first felt at the seasonal scale, however our understanding how seasonal variability will influence rates of future ocean acidification remains poorly constrained due to current model and data limitations. To address this issue, we first quantified the seasonal cycle of aragonite saturation state utilizing new data-based estimates of global ocean-surface dissolved inorganic carbon and alkalinity. This seasonality was then combined with earth system model projections under different emissions scenarios (representative concentration pathways; RCPs 2.6, 4.5 and 8.5) to provide new insights into future aragonite undersaturation onset. Under a high emissions scenario (RCP 8.5), our results suggest accounting for seasonality will bring forward the initial onset of month-long undersaturation by 17 +/- 10 years compared to annual-mean estimates, with differences extending up to 35 +/- 16 years in the North Pacific due to strong regional seasonality. This earlier onset will result in large-scale undersaturation once atmospheric CO2 reaches 496 ppm in the North Pacific and 511 ppm in the Southern Ocean, independent of emission scenario. This work suggests accounting for seasonality is critical to projecting the future impacts of ocean acidification on the marine environment.
- Published
- 2015
- Full Text
- View/download PDF
14. Data-based estimates of the ocean carbon sink variability – first results of the Surface Ocean <i>p</i>CO<sub>2</sub> Mapping intercomparison (SOCOM)
- Author
-
Rödenbeck, C., primary, Bakker, D. C. E., additional, Gruber, N., additional, Iida, Y., additional, Jacobson, A. R., additional, Jones, S., additional, Landschützer, P., additional, Metzl, N., additional, Nakaoka, S., additional, Olsen, A., additional, Park, G.-H., additional, Peylin, P., additional, Rodgers, K. B., additional, Sasse, T. P., additional, Schuster, U., additional, Shutler, J. D., additional, Valsala, V., additional, Wanninkhof, R., additional, and Zeng, J., additional
- Published
- 2015
- Full Text
- View/download PDF
15. Quantifying the influence of CO<sub>2</sub> seasonality on future aragonite undersaturation onset
- Author
-
Sasse, T. P., primary, McNeil, B. I., additional, Matear, R. J., additional, and Lenton, A., additional
- Published
- 2015
- Full Text
- View/download PDF
16. Historical reconstruction of ocean acidification in the Australian region
- Author
-
Lenton, A., primary, Tilbrook, B., additional, Matear, R. J., additional, Sasse, T., additional, and Nojiri, Y., additional
- Published
- 2015
- Full Text
- View/download PDF
17. Supplementary material to "Quantifying the influence of CO2 seasonality on future ocean acidification"
- Author
-
Sasse, T. P., primary, McNeil, B. I., additional, Matear, R. J., additional, and Lenton, A., additional
- Published
- 2015
- Full Text
- View/download PDF
18. Quantifying the influence of CO2 seasonality on future ocean acidification
- Author
-
Sasse, T. P., primary, McNeil, B. I., additional, Matear, R. J., additional, and Lenton, A., additional
- Published
- 2015
- Full Text
- View/download PDF
19. Bestimmung des VZV (IgG) Status bei Asylsuchenden in Mecklenburg-Vorpommern
- Author
-
Sasse, T, primary, Demikhovska, E, additional, Sielaff, N, additional, Keuchel, A, additional, Ziems, G, additional, and Littmann, M, additional
- Published
- 2015
- Full Text
- View/download PDF
20. Modeling timing constraints for automatic generation of embedded test instruments
- Author
-
Ostendorff, S., primary, Meza Escobar, J.-H., additional, Wuttke, H.-D., additional, Sasse, T., additional, and Richter, S., additional
- Published
- 2014
- Full Text
- View/download PDF
21. Berstdrücke an der zentralen Pulmonalarterie nach bipolarer Gefäßversiegelung – Untersuchungen an einem Ex-vivo-Modell
- Author
-
Kirschbaum, A., additional, Sasse, T., additional, and Palade, E., additional
- Published
- 2014
- Full Text
- View/download PDF
22. A neural network-based estimate of the seasonal to inter-annual variability of the Atlantic Ocean carbon sink
- Author
-
Landschützer, P., Gruber, N., Bakker, D.C.E., Schuster, U., Nakaoka, S., Payne, Mark, Sasse, T., Zeng, J., Landschützer, P., Gruber, N., Bakker, D.C.E., Schuster, U., Nakaoka, S., Payne, Mark, Sasse, T., and Zeng, J.
- Abstract
The Atlantic Ocean is one of the most important sinks for atmospheric carbon dioxide (CO2), but this sink is known to vary substantially in time. Here we use surface ocean CO2 observations to estimate this sink and the temporal variability from 1998 to 2007 in the Atlantic Ocean. We benefit from (i) a continuous improvement of the observations, i.e., the Surface Ocean CO2 Atlas (SOCAT) v1.5 database and (ii) a newly developed technique to interpolate the observations in space and time. In particular, we use a 2 step neural network approach to reconstruct basin-wide monthly maps of the sea surface partial pressure of CO2 (pCO2) at a resolution of 1° × 1°. From those, we compute the air–sea CO2 flux maps using a standard gas exchange parameterization and high-resolution wind speeds. The neural networks fit the observed pCO2 data with a root mean square error (RMSE) of about 10 μatm and with almost no bias. A check against independent time series data reveals a larger RMSE of about 17 μatm. We estimate a decadal mean uptake flux of –0.45 ± 0.15 Pg C yr–1 for the Atlantic between 44° S and 79° N, representing the sum of a strong uptake north of 18° N (–0.39 ± 0.10 Pg C yr–1), outgassing in the tropics (18° S–18° N, 0.11 ± 0.07 Pg C yr–1), and uptake in the subtropical/temperate South Atlantic south of 18° S (–0.16 ± 0.06 Pg C yr–1), consistent with recent studies. We find the strongest seasonal variability of the CO2 flux in the temperature driven subtropical North Atlantic, with uptake in winter and outgassing in summer. The seasonal cycle is antiphased in the subpolar latitudes relative to the subtropics largely as a result of the biologically driven winter-to-summer drawdown of CO2. Over the analysis period (1998 to 2007) sea surface pCO2 increased faster than that of the atmosphere in large areas poleward of 40° N, but many other parts of the North Atlantic increased more slowly, resulting in a barely changing Atlantic carbon sink north of the equator (–0.007 Pg C y
- Published
- 2013
23. A novel method for diagnosing seasonal to inter-annual surface ocean carbon dynamics from bottle data using neural networks
- Author
-
Sasse, T. P., Mcneil, B. I., Abramowitz, Ag, Sasse, T. P., Mcneil, B. I., and Abramowitz, Ag
- Abstract
The ocean's role in modulating the observed 1–7 Pg C yr−1 inter-annual variability in atmospheric CO2 growth rate is an important, but poorly constrained process due to current spatio-temporal limitations in ocean carbon measurements. Here, we investigate and develop a non-linear empirical approach to predict inorganic CO2 concentrations (total carbon dioxide (CT) and total alkalinity (AT)) in the global ocean mixed layer from hydrographic properties (temperature, salinity, dissolved oxygen and nutrients). The benefit of this approach is that once the empirical relationship is established, it can be applied to hydrographic datasets that have better spatio-temporal coverage, and therefore provide an additional constraint to diagnose ocean carbon dynamics globally. Previous empirical approaches have employed multiple linear regressions (MLR) and relied on ad hoc geographic and temporal partitioning of carbon data to constrain complex global carbon dynamics in the mixed layer. Synthesizing a new global CT/AT carbon bottle dataset consisting of ~33 000 measurements in the open ocean mixed layer, we develop a neural network based approach to better constrain the non-linear carbon system. The approach classifies features in the global biogeochemical dataset based on their similarity and homogeneity in a self-organizing map (SOM; Kohonen, 1988). After the initial SOM analysis, which includes geographic constraints, we apply a local linear optimizer to the neural network, which considerably enhances the predictive skill of the new approach. We call this new approach SOMLO, or self-organizing multiple linear output. Using independent bottle carbon data, we compare a traditional MLR analysis to our SOMLO approach to capture the spatial CT and AT distributions. We find the SOMLO approach improves predictive skill globally by 19% for CT, with a global capacity to predict CT to within 10.9 μmol kg−1 (9.2 μmol kg−1 for AT). The non-linear SOMLO approach is particularly powerful i
- Published
- 2013
- Full Text
- View/download PDF
24. A neural network-based estimate of the seasonal to inter-annual variability of the Atlantic Ocean carbon sink
- Author
-
Landschuetzer, P., Gruber, N., Bakker, D. C. E., Schuster, U., Nakaoka, S., Payne, M. R., Sasse, T. P., Zeng, J., Landschuetzer, P., Gruber, N., Bakker, D. C. E., Schuster, U., Nakaoka, S., Payne, M. R., Sasse, T. P., and Zeng, J.
- Abstract
The Atlantic Ocean is one of the most important sinks for atmospheric carbon dioxide (CO2), but this sink has been shown to vary substantially in time. Here we use surface ocean CO2 observations to estimate this sink and the temporal variability from 1998 through 2007 in the Atlantic Ocean. We benefit from (i) a continuous improvement of the observations, i. e. the Surface Ocean CO2 Atlas (SOCAT) v1.5 database and (ii) a newly developed technique to interpolate the observations in space and time. In particular, we use a two-step neural network approach to reconstruct basin-wide monthly maps of the sea surface partial pressure of CO2 (pCO(2)) at a resolution of 1 degrees x 1 degrees From those, we compute the air-sea CO2 flux maps using a standard gas exchange parameterization and high-resolution wind speeds. The neural networks fit the observed pCO(2) data with a root mean square error (RMSE) of about 10 mu atm and with almost no bias. A check against independent time-series data and new data from SOCAT v2 reveals a larger RMSE of 22.8 mu atm for the entire Atlantic Ocean, which decreases to 16.3 mu atm for data south of 40 degrees N. We estimate a decadal mean uptake flux of -0.45 +/- 0.15 PgC yr(-1) for the Atlantic between 44 ffi S and 79 ffi N, representing the sum of a strong uptake north of 18 degrees N (-0.39 +/- 0.10 PgC yr(-1)), outgassing in the tropics (18 degrees S-18 degrees N, 0.11 +/- 0.07 PgC yr(-1)), and uptake in the subtropical/temperate South Atlantic south of 18 degrees S (-0.16 +/- 0.06 PgC yr(-1)), consistent with recent studies. The strongest seasonal variability of the CO2 flux occurs in the temperature-driven subtropical North Atlantic, with uptake in winter and outgassing in summer. The seasonal cycle is antiphased in the subpolar latitudes relative to the subtropics largely as a result of the biologically driven winter-to-summer drawdown of CO2. Over the 10 yr analysis period (1998 through 2007), sea surface pCO(2) increased faster than t
- Published
- 2013
- Full Text
- View/download PDF
25. A neural network-based estimate of the seasonal to inter-annual variability of the Atlantic Ocean carbon sink
- Author
-
Landschützer, P., primary, Gruber, N., additional, Bakker, D. C. E., additional, Schuster, U., additional, Nakaoka, S., additional, Payne, M. R., additional, Sasse, T. P., additional, and Zeng, J., additional
- Published
- 2013
- Full Text
- View/download PDF
26. A novel method for diagnosing seasonal to inter-annual surface ocean carbon dynamics from bottle data using neural networks
- Author
-
Sasse, T. P., primary, McNeil, B. I., additional, and Abramowitz, G., additional
- Published
- 2013
- Full Text
- View/download PDF
27. Supplementary material to "A novel method for diagnosing seasonal to inter-annual surface ocean carbon dynamics from bottle data using neural networks"
- Author
-
Sasse, T. P., primary, McNeil, B. I., additional, and Abramowitz, G., additional
- Published
- 2012
- Full Text
- View/download PDF
28. A novel method for diagnosing seasonal to inter-annual surface ocean carbon dynamics from bottle data using neural networks
- Author
-
Sasse, T. P., primary, McNeil, B. I., additional, and Abramowitz, G., additional
- Published
- 2012
- Full Text
- View/download PDF
29. Historical reconstruction of ocean acidification in the Australian region.
- Author
-
Lenton, A., Tilbrook, B., Matear, R. J., Sasse, T., and Nojiri, Y.
- Subjects
OCEAN acidification ,GREENHOUSE effect ,ACIDITY ,ENVIRONMENTAL impact analysis ,MARINE ecology ,GEOCHEMISTRY ,ARAGONITE - Abstract
The increase in atmospheric greenhouse gases over the last 200 years has caused an increase in ocean acidity levels. Documenting how the ocean has changed is critical for assessing how these changes could impact marine ecosystems and for the management of marine resources. We use present day ocean carbon observations from shelf and offshore waters around Australia, combined with neural network mapping of CO
2 , to estimate the current seasonal and regional distributions of carbonate chemistry (pH and aragonite saturation state). These predicted changes in carbonate chemistry are combined with atmospheric CO2 concentration changes since to reconstruct pH and aragonite saturation state changes over the last 140 years (1870-2013). The comparison with data collected at Integrated Marine Observing System National Reference Station sites located on the shelf around Australia shows both the mean state and seasonality for the present day is well represented by our reconstruction, with the exception of sites such as the Great Barrier Reef. Our reconstruction predicts that since 1870 an average decrease in aragonite saturation state of 0.48 and of 0.09 in pH has occurred in response to increasing oceanic uptake of atmospheric CO2 . Our reconstruction shows that seasonality is the dominant mode of variability, with only small interannual variability present. Large seasonal variability in pH and aragonite saturation state occur in Southwestern Australia driven by ocean dynamics (mixing) and in the Tasman Sea by seasonal warming (in the case of aragonite saturation state). The seasonal and historical changes in aragonite saturation state and pH have different spatial patterns and suggest that the biological responses to ocean acidification are likely to be non-uniform depending on the relative sensitivity of organisms to shifts in pH and saturation state. This new historical reconstruction provides an important to link to biological observations to help elucidate the consequences of ocean acidification. [ABSTRACT FROM AUTHOR]- Published
- 2015
- Full Text
- View/download PDF
30. Quantifying the influence of CO2 seasonality on future aragonite undersaturation onset.
- Author
-
Sasse, T. P., McNeil, B. I., Matear, R. J., and Lenton, A.
- Subjects
MARINE ecology ,ARAGONITE ,OCEAN acidification ,REPRODUCTIVE health ,FOOD chains ,ATMOSPHERIC carbon dioxide & the environment - Abstract
Ocean acidification is a predictable consequence of rising atmospheric carbon dioxide (CO
2 /, and is highly likely to impact the entire marine ecosystem - from plankton at the base of the food chain to fish at the top. Factors which are expected to be impacted include reproductive health, organism growth and species composition and distribution. Predicting when critical threshold values will be reached is crucial for projecting the future health of marine ecosystems and for marine resources planning and management. The impacts of ocean acidification will be first felt at the seasonal scale, however our understanding how seasonal variability will influence rates of future ocean acidification remains poorly constrained due to current model and data limitations. To address this issue, we first quantified the seasonal cycle of aragonite saturation state utilizing new data-based estimates of global ocean-surface dissolved inorganic carbon and alkalinity. This seasonality was then combined with earth system model projections under different emissions scenarios (representative concentration pathways; RCPs 2.6, 4.5 and 8.5) to provide new insights into future aragonite undersaturation onset. Under a high emissions scenario (RCP 8.5), our results suggest accounting for seasonality will bring forward the initial onset of month-long undersaturation by 17±10 years compared to annual-mean estimates, with differences extending up to 35±16 years in the North Pacific due to strong regional seasonality. This earlier onset will result in large-scale undersaturation once atmospheric CO2 reaches 496 ppm in the North Pacific and 511 ppm in the Southern Ocean, independent of emission scenario. This work suggests accounting for seasonality is critical to projecting the future impacts of ocean acidification on the marine environment. [ABSTRACT FROM AUTHOR]- Published
- 2015
- Full Text
- View/download PDF
31. Data-based estimates of the ocean carbon sink variability -- first results of the Surface Ocean pCO2 Mapping intercomparison (SOCOM).
- Author
-
Rödenbeck, C., Bakker, D. C. E., Gruber, N., Iida, Y., Jacobson, A. R., Jones, S., Landschützer, P., Metzl, N., Nakaoka, S., Olsen, A., Park, G.-H., Peylin, P., Rodgers, K. B., Sasse, T. P., Schuster, U., Shutler, J. D., Valsala, V., Wanninkhof, R., and Zeng, J.
- Subjects
CARBON cycle ,OCEAN bottom ,PARTIAL pressure ,ATMOSPHERIC oxygen ,CLIMATE change - Abstract
Using measurements of the surface-ocean CO
2 partial pressure (pCO2 ) and 14 different pCO2 mapping methods recently collated by the Surface Ocean pCO2 Mapping intercomparison (SOCOM) initiative, variations in regional and global sea-air CO2 fluxes have been investigated. Though the available mapping methods use widely different approaches, we find relatively consistent estimates of regional pCO2 seasonality, in line with previous estimates. In terms of interannual variability (IAV), all mapping methods estimate the largest variations to occur in the Eastern equatorial Pacific. Despite considerable spead in the detailed variations, mapping methods with closer match to the data also tend to be more consistent with each other. Encouragingly, this includes mapping methods belonging to complementary types -- taking variability either directly from the pCO2 data or indirectly from driver data via regression. From a weighted ensemble average, we find an IAV amplitude of the global sea-air CO2 flux of 0.31 PgC yr-1 (standard deviation over 1992-2009), which is larger than simulated by biogeochemical process models. On a decadal perspective, the global CO2 uptake is estimated to have gradually increased since about 2000, with little decadal change prior to 2000. The weighted mean total ocean CO2 sink estimated by the SOCOM ensemble is consistent within uncertainties with estimates from ocean-interior carbon data or atmospheric oxygen trends. [ABSTRACT FROM AUTHOR]- Published
- 2015
- Full Text
- View/download PDF
32. Quantifying the influence of CO2 seasonality on future ocean acidification.
- Author
-
Sasse, T. P., McNeil, B. I., Matear, R. J., and Lenton, A.
- Subjects
SEASONAL temperature variations ,OCEAN acidification ,ATMOSPHERIC carbon dioxide ,MARINE ecology ,REPRODUCTIVE health - Abstract
Ocean acidification is a predictable consequence of rising atmospheric carbon dioxide (CO
2 ), and is highly likely to impact the entire marine ecosystem - from plankton at the base to fish at the top. Factors which are expected to be impacted include reproductive health, organism growth and species composition and distribution. Predicting when critical threshold values will be reached is crucial for projecting the future health of marine ecosystems and for marine resources planning and management. The impacts of ocean acidification will be first felt at the seasonal scale, however our understanding how seasonal variability will influence rates of future ocean acidification remains poorly constrained due to current model and data limitations. To address this issue, we first quantified the seasonal cycle of aragonite saturation state utilizing new data-based estimates of global ocean surface dissolved inorganic carbon and alkalinity. This seasonality was then combined with earth system model projections under different emissions scenarios (RCPs 2.6, 4.5 and 8.5) to provide new insights into future aragonite under-saturation onset. Under a high emissions scenario (RCP 8.5), our results suggest accounting for seasonality will bring forward the initial onset of month-long under-saturation by 17 years compared to annual-mean estimates, with differences extending up to 35 ± 17 years in the North Pacific due to strong regional seasonality. Our results also show large-scale under-saturation once atmospheric CO2 reaches 486 ppm in the North Pacific and 511 ppm in the Southern Ocean independent of emission scenario. Our results suggest that accounting for seasonality is critical to projecting the future impacts of ocean acidification on the marine environment. [ABSTRACT FROM AUTHOR]- Published
- 2015
- Full Text
- View/download PDF
33. Maschinenhausmontage für welthöchste Windkraftanlage
- Author
-
Schulte, H., primary and Sasse, T., additional
- Published
- 2001
- Full Text
- View/download PDF
34. Detection and quantification of transforming growth factor beta 1 messenger ribonucleic acid in human osteoblasts
- Author
-
Sasse, T., primary, Lüttich, K., additional, Becker, P., additional, Dörfling, P., additional, and Brock, J., additional
- Published
- 1995
- Full Text
- View/download PDF
35. A novel method for diagnosing seasonal to inter-annual surface ocean carbon dynamics from bottle data using neural networks.
- Author
-
Sasse, T. P., McNeil, B. I., and Abramowitz, G.
- Subjects
ARTIFICIAL neural networks ,OCEANOGRAPHY ,DATA analysis ,SPATIO-temporal variation ,EMPIRICAL research ,HYDROGRAPHY - Abstract
The ocean's role in modulating the observed 1-7 PgCyr
-1 inter-annual variability in atmospheric CO2 growth rate is an important, but poorly constrained process due to sparse spatio-temporal ocean carbon measurements. Here, we investigate and develop a non-linear empirical approach to predict inorganic CO2 concentrations (total carbon dioxide (CT ) and total alkalinity (AT ) in the global ocean mixed-layer from hydrographic properties (temperature, salinity, dissolved oxygen and nutrients). The benefit of this approach is that once the empirical relationship is established, it can be applied to hydrographic datasets that have better spatio-temporal coverage, and therefore provide an additional constraint to diagnose ocean carbon dynamics globally. Previous empirical approaches have employed multiple linear regressions (MLR), and relied on ad-hoc geographic and temporal partitioning of carbon data to constrain complex global carbon dynamics in the mixed-layer. Synthesising a new global CT /AT carbon bottle dataset consisting of ∼33 000 measurements in the open ocean mixed- layer, we develop a neural network based approach to better constrain the non-linear carbon system. The approach classifies features in the global biogeochemical dataset based on their similarity and homogeneity in a self-organizing map (SOM; Kohonen, 1988). After the initial SOM analysis, which includes geographic constraints, we apply a local linear optimizer to the neural network which considerably enhances the predictive skill of the new approach. We call this new approach SOMLO, or self-organizing multiple linear output. Using independent bottle carbon data, we compare a traditional MLR analysis to our SOMLO approach to capture the spatial CT and AT distributions. We find the SOMLO approach improves predictive skill globally by 19% for CT , with a global capacity to predict CT to within 10.9 µmol kg-1 (9.2 µmol kg-1 for AT). The non- linear SOMLO approach is particularly powerful in complex, but important regions like the Southern Ocean, North Atlantic and equatorial Pacific where residual standard errors were reduced between 25-40% over traditional linear methods. We further test the SOMLO technique using the Bermuda Atlantic time-series (BATS) and Hawaiian ocean time-series (HOT) datasets, where hydrographic data was capable of explaining 90% of the seasonal cycle and inter-annual variability at those multi-decadal time-series stations. [ABSTRACT FROM AUTHOR]- Published
- 2012
- Full Text
- View/download PDF
36. TGF beta-1 mRNA expression and proliferation of human osteoblastic cells in nonosteoporotic and osteoporotic women under influence of TGF beta-1 and IGF-I.
- Author
-
Sasse, T, Becker, P, Dorfling, P, Schuhr, T, and Brock, J
- Abstract
Currently, primary osteoporosis is the most frequent metabolic disease in women after menopause [1]. The resulting loss of bone mass is accompanied by an increased risk of skeletal fragility. One reason for the development of osteoporosis might be an impaired function of mature osteoblasts. To evaluate the involvement of specific growth factors in bone remodeling, cell cultures of osteoblastic cells derived from nonosteoporotic and osteoporotic postmenopausal women were established. The influences of TGF beta-1 and IGF-I on proliferation and mRNA expression of TGF beta-1 were investigated by [3H]-thymidine incorporation and competitive RT-PCR. We found IGF-I to have no significant effect on proliferation in cells of osteoporotic and nonosteoporotic patients. In contrast, differences were found in TGF beta-1 mRNA expression after application of IGF-I. Application of TGF beta-1 enhanced its own mRNA expression in both groups in a similar manner. Whereas the proliferation of cells of nonosteoporotic patients was inhibited by (10(-10) M) TGF beta-1, this treatment led to an increased proliferation of cells of osteoporotic patients. [ABSTRACT FROM AUTHOR]
- Published
- 1998
37. Activation of the transcription factor NF-kB by the erythropoietin receptor
- Author
-
Bittorf, T., Buchse, T., Sasse, T., Jaster, R., and Brock, J.
- Published
- 2001
- Full Text
- View/download PDF
38. cDNA cloning and functional analysis of a truncated STAT5a protein from autonomously growing FDCP-1 cells
- Author
-
Bittorf, T., Sasse, T., Wright, M., Jaster, R., Otte, L., Schneider-Mergener, J., and Brock, J.
- Published
- 2000
- Full Text
- View/download PDF
39. Detector and readout characterization for POLARBEAR-2b
- Author
-
Zmuidzinas, Jonas, Gao, Jian-Rong, Ito, J., Lowry, L. N., Elleflot, T., Crowley, K. T., Howe, L., Siritanasak, P., Adkins, T., Arnold, K., Baccigalupi, C., Barron, D., Bixler, B., Chinone, Y., Groh, J., Hazumi, M., Hill, C. A., Jeong, O., Keating, B., Kusaka, A., Lee, A. T., Mitchell, K., Navaroli, M., Pham, A. T. P., Raum, C., Reichardt, C. L., Sasse, T. J., Seibert, J., Suzuki, A., Takakura, S., Teply, G. P., Tsai, C., and Westbrook, B.
- Published
- 2020
- Full Text
- View/download PDF
40. [Untitled]
- Author
-
Rödenbeck, C., Bakker, D. C. E., Gruber, N., Iida, Y., Jacobson, A. R., Jones, S., Landschützer, P., Metzl, N., Nakaoka, S., Olsen, A., Park, G.-H., Peylin, P., Rodgers, K. B., Sasse, T. P., Schuster, U., Shutler, J. D., Valsala, V., Wanninkhof, R., and Zeng, J.
- Subjects
geography ,Biogeochemical cycle ,geography.geographical_feature_category ,Surface ocean ,Carbon sink ,Seasonality ,medicine.disease ,Standard deviation ,Sink (geography) ,Regression ,Amplitude ,13. Climate action ,Climatology ,medicine ,Environmental science ,14. Life underwater ,Ecology, Evolution, Behavior and Systematics ,Earth-Surface Processes - Abstract
Using measurements of the surface-ocean CO2 partial pressure (pCO2) and 14 different pCO2 mapping methods recently collated by the Surface Ocean pCO2 Mapping intercomparison (SOCOM) initiative, variations in regional and global sea–air CO2 fluxes are investigated. Though the available mapping methods use widely different approaches, we find relatively consistent estimates of regional pCO2 seasonality, in line with previous estimates. In terms of interannual variability (IAV), all mapping methods estimate the largest variations to occur in the eastern equatorial Pacific. Despite considerable spread in the detailed variations, mapping methods that fit the data more closely also tend to agree more closely with each other in regional averages. Encouragingly, this includes mapping methods belonging to complementary types – taking variability either directly from the pCO2 data or indirectly from driver data via regression. From a weighted ensemble average, we find an IAV amplitude of the global sea–air CO2 flux of 0.31 PgC yr−1 (standard deviation over 1992–2009), which is larger than simulated by biogeochemical process models. From a decadal perspective, the global ocean CO2 uptake is estimated to have gradually increased since about 2000, with little decadal change prior to that. The weighted mean net global ocean CO2 sink estimated by the SOCOM ensemble is −1.75 PgC yr−1 (1992–2009), consistent within uncertainties with estimates from ocean-interior carbon data or atmospheric oxygen trends.
41. Small Aperture Telescopes for the Simons Observatory
- Author
-
Osamu Tajima, Johannes Hubmayr, Suzanne T. Staggs, Aamir Ali, Bejamin Westbrook, Kam Arnold, Trevor Sasse, Charles A. Hill, Frederick Matsuda, Tran Tsan, Kenji Kiuchi, Grant Teply, Andrew Bazarko, Federico Nati, Yuji Chinone, Joseph Seibert, Carlos Sierra, Nicholas Galitzki, Zhilei Xu, Peter Ashton, Ningfeng Zhu, Erin Healy, Haruki Nishino, Sara M. Simon, Shannon M. Duff, Kevin D. Crowley, Mario Zannoni, Edward J. Wollack, Jacob Spisak, Michael D. Niemack, John Orlowski-Scherer, Christopher Raum, Lance Corbett, Adrian T. Lee, Aashrita Mangu, Kathleen Harrington, Michael Ludlam, Yuki Sakurai, Shunsuke Adachi, Gabriele Coppi, Maria Salatino, Neil Goeckner-Wald, Mayuri Sathyanarayana Rao, Maximiliano Silva-Feaver, Mark J. Devlin, Christopher G. Ellis, Heather McCarrick, Kevin T. Crowley, Shuay-Pwu Patty Ho, Akito Kusaka, Brian Keating, Simon Dicker, Ali, A, Adachi, S, Arnold, K, Ashton, P, Bazarko, A, Chinone, Y, Coppi, G, Corbett, L, Crowley, K, Devlin, M, Dicker, S, Duff, S, Ellis, C, Galitzki, N, Goeckner-Wald, N, Harrington, K, Healy, E, Hill, C, Ho, S, Hubmayr, J, Keating, B, Kiuchi, K, Kusaka, A, Lee, A, Ludlam, M, Mangu, A, Matsuda, F, Mccarrick, H, Nati, F, Niemack, M, Nishino, H, Orlowski-Scherer, J, Sathyanarayana Rao, M, Raum, C, Sakurai, Y, Salatino, M, Sasse, T, Seibert, J, Sierra, C, Silva-Feaver, M, Spisak, J, Simon, S, Staggs, S, Tajima, O, Teply, G, Tsan, T, Wollack, E, Westbrook, B, Xu, Z, Zannoni, M, and Zhu, N
- Subjects
Small aperture telescope, TES, Refractor, Simons Observatory, Cosmic microwave background, CMB, Inflation, Cosmology ,media_common.quotation_subject ,Cosmic microwave background ,FOS: Physical sciences ,Astrophysics ,Astrophysics::Cosmology and Extragalactic Astrophysics ,01 natural sciences ,Cosmology ,Radio spectrum ,010305 fluids & plasmas ,law.invention ,Telescope ,FIS/05 - ASTRONOMIA E ASTROFISICA ,law ,Observatory ,0103 physical sciences ,General Materials Science ,010306 general physics ,Instrumentation and Methods for Astrophysics (astro-ph.IM) ,Astrophysics::Galaxy Astrophysics ,media_common ,Physics ,Astrophysics::Instrumentation and Methods for Astrophysics ,Condensed Matter Physics ,Polarization (waves) ,Atomic and Molecular Physics, and Optics ,Sky ,Refracting telescope ,Astrophysics - Instrumentation and Methods for Astrophysics - Abstract
The Simons Observatory (SO) is an upcoming cosmic microwave background (CMB) experiment located on Cerro Toco, Chile, that will map the microwave sky in temperature and polarization in six frequency bands spanning 27 to 285 GHz. SO will consist of one 6-m large aperture telescope fielding $$\sim$$ 30,000 detectors and an array of three 0.42-m small aperture telescopes (SATs) fielding an additional 30,000 detectors. This synergy will allow for the extremely sensitive characterization of the CMB over angular scales ranging from an arcmin to tens of degrees, enabling a wide range of scientific output. Here we focus on the SATs targeting degree angular scales with successive dichroic instruments observing at mid-frequency (MF: 93/145 GHz), ultra-high-frequency (UHF: 225/285 GHz), and low-frequency (LF: 27/39 GHz). The three SATs will be able to map $$\sim$$ 10% of the sky to a noise level of $$\sim$$ $$2\,\upmu {\hbox {K}}$$ -arcmin when combining 93 and 145 GHz. The multiple frequency bands will allow the CMB to be separated from galactic foregrounds (primarily synchrotron and dust), with the primary science goal of characterizing the primordial tensor-to-scalar ratio, r, at a target level of $$\sigma (r) \approx 0.003$$ .
- Published
- 2020
42. Characterization of Transition Edge Sensors for the Simons Observatory
- Author
-
Shannon M. Duff, Michael D. Niemack, Christopher Raum, Nicholas F. Cothard, Sara M. Simon, Gene C. Hilton, Jason E. Austermann, Steve K. Choi, Maria Salatino, Edward J. Wollack, Johannes Hubmayr, Zhilei Xu, Trevor Sasse, Mario Renzullo, Aashrita Mangu, Joel N. Ullom, Suzanne T. Staggs, Thuong D. Hoang, Eve M. Vavagiakis, Aamir Ali, John Vivalda, Benjamin Westbrook, Federico Nati, Shuay-Pwu Patty Ho, Adrian T. Lee, Bradley Dober, Cody J. Duell, Kam Arnold, Daniel Yohannes, Michael R. Vissers, Samantha Walker, Aritoki Suzuki, Jason R. Stevens, Patrick Truitt, Stevens, J, Cothard, N, Vavagiakis, E, Ali, A, Arnold, K, Austermann, J, Choi, S, Dober, B, Duell, C, Duff, S, Hilton, G, Ho, S, Hoang, T, Hubmayr, J, Lee, A, Mangu, A, Nati, F, Niemack, M, Raum, C, Renzullo, M, Salatino, M, Sasse, T, Simon, S, Staggs, S, Suzuki, A, Truitt, P, Ullom, J, Vivalda, J, Vissers, M, Walker, S, Westbrook, B, Wollack, E, Xu, Z, and Yohannes, D
- Subjects
Simons Observatory ,Aperture ,Physics::Instrumentation and Detectors ,FOS: Physical sciences ,01 natural sciences ,7. Clean energy ,Noise (electronics) ,010305 fluids & plasmas ,law.invention ,Optics ,Observatory ,law ,0103 physical sciences ,General Materials Science ,Dilution refrigerator ,010306 general physics ,Instrumentation and Methods for Astrophysics (astro-ph.IM) ,Physics ,business.industry ,Detector ,Astrophysics::Instrumentation and Methods for Astrophysics ,Condensed Matter Physics ,Atomic and Molecular Physics, and Optics ,SQUID ,NIST ,Transition edge sensor ,Astrophysics - Instrumentation and Methods for Astrophysics ,business ,TES - Abstract
The Simons Observatory is building both large (6 m) and small (0.5 m) aperture telescopes in the Atacama desert in Chile to observe the cosmic microwave background (CMB) radiation with unprecedented sensitivity. Simons Observatory telescopes in total will use over 60,000 transition edge sensor (TES) detectors spanning center frequencies between 27 and 285 GHz and operating near 100 mK. TES devices have been fabricated for the Simons Observatory by NIST, Berkeley, and HYPRES/SeeQC corporation. Iterations of these devices have been tested cryogenically in order to inform the fabrication of further devices, which will culminate in the final TES designs to be deployed in the field. The detailed design specifications have been independently iterated at each fabrication facility for particular detector frequencies. We present test results for prototype devices, with emphasis on NIST high frequency detectors. A dilution refrigerator was used to achieve the required temperatures. Measurements were made both with 4-lead resistance measurements and with a time domain Superconducting Quantum Interference Device (SQUID) multiplexer system. The SQUID readout measurements include analysis of current vs voltage (IV) curves at various temperatures, square wave bias step measurements, and detector noise measurements. Normal resistance, superconducting critical temperature, saturation power, thermal and natural time constants, and thermal properties of the devices are extracted from these measurements., Comment: 9 Pages, 5 figures, Low Temperature Detectors 19
- Published
- 2019
- Full Text
- View/download PDF
43. Challenges and pitfalls during CRT implantation in patients with persistent left superior vena cava.
- Author
-
Akdis D, Vogler J, Sieren MM, Molitor N, Sasse T, Phan HL, Bartoli L, Grosse N, Saguner AM, Eriksson U, Duru F, Hofer D, Breitenstein A, Tilz RR, and Winnik S
- Subjects
- Humans, Male, Female, Aged, Middle Aged, Treatment Outcome, Switzerland, Germany, Retrospective Studies, Heart Failure therapy, Vena Cava, Superior abnormalities, Vena Cava, Superior diagnostic imaging, Cardiac Resynchronization Therapy methods, Persistent Left Superior Vena Cava diagnostic imaging
- Abstract
Background: Persistent left superior vena cava (PLSVC) is a rare venous anomaly, affecting 0.3-0.5% of the general population. Cardiac resynchronization therapy (CRT) implantation in patients with PLSVC is challenging due to a complex anatomy. Moreover, data on CRT implantation in this patient population is scarce. Our aim was to report a series of patients with PLSVC and CRT implantation focusing on challenges and pitfalls., Methods: Electronic medical databases on patients with CRT implantation at the University Heart Centers in Zurich, Switzerland, and Lübeck, Germany, were screened for individuals with a PLSVC. Clinical and demographic characteristics as well as procedural data were reported in all patients., Results: This study presents six cases with a median age of 66 years. CRT implantation was successful in five patients, leading to a reduced QRS duration and improved left ventricular ejection fraction. Atrial fibrillation, ischemic cardiomyopathy, valvular heart disease, and dilated cardiomyopathy were observed in this group as underlying conditions. Specialized tools, such as active fixation left ventricular leads, were utilized. One patient experienced major complications., Conclusions: This case series shows that although challenging, conventional endovascular CRT implantation is feasible in PLSVC patients. Specialized tools for visualization and fixation may help. Our experiences highlight the importance of preprocedural evaluation of the anatomy and precise intervention planning., (© 2024. The Author(s).)
- Published
- 2024
- Full Text
- View/download PDF
44. Success and Complication Rates of Transvenous Lead Extraction in a Developing High-Volume Extraction Center: The Zurich Experience.
- Author
-
Hofer D, Kuster N, Bebié MC, Sasse T, Steffel J, and Breitenstein A
- Abstract
Introduction: Transvenous lead extractions are increasingly performed for malfunction or infection of cardiac implantable electronic devices, but they harvest a potential for complications and suboptimal success. Apart from multicenter registries and reports from highly experienced single centers, the outcome in individual newly developing high-volume centers starting a lead extraction program is less well established. We aimed to evaluate the clinical and radiological success and complication rate at our center, having started a lead extraction program less than a decade ago., Methods: We retrospectively analyzed patients who underwent transvenous lead extraction at the University Hospital Zurich from 2013 to 2021 regarding success as well as complications and compared our results to previously reported outcome rates., Results: A total of 346 patients underwent 350 transvenous lead extractions from January 2013 to December 2021. Combined radiological success was achieved in 97.7% and clinical success in 96.0% of interventions. Procedure-related major complications occurred in 13 patients (3.7%). Death within 30 days after transvenous lead extractions occurred in 13 patients (3.7%), with a procedure-related mortality of 1.4% (five patients)., Summary: Transvenous lead extractions in newly developing high-volume centers can be performed with high clinical and radiological success rates, but procedure-related major complications may affect a relevant number of patients. Compared to large single or multicenter registries of experienced centers, the success rate may be lower and the complication rate higher in centers newly starting with lead extraction, which may have important implications for patient selection, procedural planning, proctoring, and safety measures., Competing Interests: Daniel Hofer reports educational grants, consultant or speaker fees, and fellowship support from Abbott, Medtronic, Biotronik, Boston Scientific, Biosense Webster, Novartis, Bayer, Pfizer, and Spectranetics. Alexander Breitenstein has received consultant and/or speaker fees from Abbott, Bayer Healthcare, Biosense Webster, Biotronik, Boston Scientific, Bristol-Myers Squibb, Cook Medical, Daiichi Sankyo, Medtronic, Pfizer, and Spectranetics/Philipps. Jan Steffel has received consultant and/or speaker fees from Abbott, Alexion, Astra-Zeneca, Bayer, Berlin-Chemie, Biosense Webster, Biotronik, Boehringer-Ingelheim, Boston Scientific, Bristol-Myers Squibb, Daiichi Sankyo, Medscape, Medtronic, Menarini, Merck/MSD, Organon, Pfizer, Saja, Servier, andWebMD. He reports ownership of CorXL and Swiss EP. Steffel has received grant support through his former institution from Abbott, Bayer Healthcare, BiosenseWebster, Biotronik, Boston Scientific, Daiichi Sankyo, and Medtronic. Sasse reports educational grants from Biotronik.
- Published
- 2023
- Full Text
- View/download PDF
45. Evaluation of the DiaSorin LIAISON SARS-CoV-2 antigen assay on nasopharyngeal swabs in two different SARS-CoV-2 pandemic waves in Switzerland: The impact of the Omicron variant on its performance.
- Author
-
Uster S, Topalli Z, Sasse T, Suter-Riniker F, and Barbani MT
- Abstract
Background: SARS-CoV-2 antigen tests reliably detect individuals with high viral loads and provide an efficient diagnostic tool to manage the current SARS-CoV-2 pandemic . However, mutations in SARS-CoV-2 variants of concerns that appeared after validation of most antigen tests might impact their diagnostic performance., Objectives: To assess the impact of the Omicron variant on the performance of the DiaSorin LIAISON SARS-CoV-2 antigen test, we evaluated its sensitivity and specificity on nasopharyngeal swabs (NPS) compared to rRT-PCR in the second and the Omicron pandemic wave in Switzerland., Study Design: A random selection of NPS from patients undergoing SARS-CoV-2 diagnostics by rRT-PCR were collected during the second and the Omicron pandemic wave and further analyzed by the LIAISON antigen test. Sensitivity and specificity compared to rRT-PCR were calculated., Results: Test performance did not change in the two investigated periods. The overall sensitivity of 75.8% in the second and 76.5% in the Omicron wave increased to 87.1% and 88.4%, excluding samples with rRT-PCR Ct-value >30. By lowering the cut-off from 200 TCID
50 /ml to 62 TCID50 /ml to discriminate between negative and positive samples using a ROC-curve, the sensitivity resulted in 88.8% for the second and 93.3% for the Omicron pandemic wave. The specificity of the LIAISON antigen test was 100% in both collectives., Conclusion: Omicron variant does not seem to affect the performance of the LIAISON antigen test. The WHO recommended sensitivity of ≥80% for antigen testing was fulfilled during both pandemic periods in samples with Ct-value <30 or by optimizing the assay cut-off., Competing Interests: The authors have no conflict of interest to declare., (© 2022 The Authors. Published by Elsevier Ltd.)- Published
- 2022
- Full Text
- View/download PDF
46. Feasibility, Efficiency, and Safety of Zero-Fluoroscopy Catheter Interventions for Right-Sided Cardiac Arrhythmias Using Only Electroanatomic Mapping.
- Author
-
Hofer D, Steffel J, Duru F, Graup V, Sasse T, Saguner A, and Breitenstein A
- Subjects
- Humans, Electrophysiologic Techniques, Cardiac methods, Retrospective Studies, Feasibility Studies, Treatment Outcome, Fluoroscopy methods, Catheters, Catheter Ablation methods, Atrial Fibrillation
- Abstract
Introduction: Fluoroscopy is traditionally used for catheter interventions in electrophysiology but carries a long-term health risk. Besides additional invasive procedures to achieve zero-fluoroscopy (ZF) interventions, electroanatomic mapping may be an alternative to fluoroscopy without the need of additional procedures. We aimed to investigate the feasibility, safety, and efficiency of a ZF approach using only electroanatomic mapping (ZF) compared to a conventional fluoroscopic (CF) approach for patients with right sided cardiac arrhythmias., Methods: We performed a single centre retrospective cohort study of consecutive patients undergoing catheter interventions for electrophysiologic procedures from January 2019 to December 2020. Patients with left-sided arrhythmias, focal cryoablation, implanted endocardial devices, or additional interventions requiring fluoroscopy were excluded., Results: 202 patients underwent a ZF and 126 patients underwent a CF approach for right-sided cardiac arrhythmias. Apart from atrial fibrillation (ZF 16% vs. CF 9%, p = 0.044), baseline demographics were similar in both groups. Acute success rate was 100% in the ZF group and 97.9% in the CF group. Mean procedure time was lower in the ZF group (70 ± 36 vs. 87 ± 44 min, p = 0.0001), while ablation time (356 ± 324 vs. 320 ± 294 s, p = 0.157) was similar. Total complication rate was low in general (1.0 % major, 2% minor complications) and without a difference between both groups., Conclusion: A ZF approach using only electroanatomic mapping without additional invasive procedures to diagnose and treat right-sided cardiac arrhythmias is feasible, efficient, and safe., (© 2022 The Author(s). Published by S. Karger AG, Basel.)
- Published
- 2022
- Full Text
- View/download PDF
47. Plasma citrulline correlates with basolateral amino acid transporter LAT4 expression in human small intestine.
- Author
-
Maric S, Flüchter P, Guglielmetti LC, Staerkle RF, Sasse T, Restin T, Schneider C, Holland-Cunz SG, Crenn P, and Vuille-Dit-Bille RN
- Subjects
- Adult, Aged, Arginine urine, Body Mass Index, Enterocytes metabolism, Female, Gene Expression, Humans, Male, Middle Aged, RNA, Messenger genetics, RNA, Messenger metabolism, Young Adult, Citrulline blood, Intestine, Small metabolism
- Abstract
Background & Aims: Plasma citrulline, a non-protein amino acid, is a biochemical marker of small intestine enterocyte mass in humans. Indeed, citrulline is highly correlated with residual bowel length in patients with short bowel syndrome. It is known to be synthesised in epithelial cells of the small intestine from other amino acids (precursors). Citrulline is then released into systemic circulation and interconverted into arginine in kidneys. If plasma citrulline concentration depends on abundance of intestinal amino acid transporters is not known. The aim of the present study was to explore whether plasma citrulline concentration correlates with the expression of intestinal amino acid transporters. Furthermore, we assessed if arginine in urine correlates with plasma citrulline., Methods: Duodenal samples, blood plasma and urine were collected from 43 subjects undergoing routine gastroduodenoscopy. mRNA expression of seven basolateral membrane amino acid transporters/transporter subunits were assessed by real-time PCR. Plasma and urine amino acid concentrations of citrulline, its precursors and other amino acids were analysed using High Performance Liquid Chromatography measurements. Amino acid transporter mRNA expression was correlated with blood plasma and urine levels of citrulline and its precursors using Spearman's rank correlation. Likewise, urine arginine was correlated with plasma citrulline., Results: Plasma citrulline correlated with the mRNA expression of basolateral amino acid transporter LAT4 (Spearman's r = 0.467, p = 0.028) in small intestine. None of the other basolateral membrane transporters/transporter subunits assessed correlated with plasma citrulline. Plasma citrulline correlated with urinary arginine, (Spearman's r = 0.419, p = 0.017), but not with urinary citrulline or other proteinogenic amino acids in the urine., Conclusions: In this study, we showed for the first time that small intestinal basolateral LAT4 expression correlates with plasma citrulline concentration. This finding indicates that LAT4 has an important function in mediating citrulline efflux from enterocytes. Furthermore, urine arginine correlated with plasma citrulline, indicating arginine in the urine as possible additional marker for small intestine enterocyte mass. Finally, basolateral LAT4 expression along the human small intestine was shown for the first time., Competing Interests: Conflict of interest None., (Copyright © 2020 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.)
- Published
- 2021
- Full Text
- View/download PDF
48. Open versus laparoscopic pyloromyotomy for pyloric stenosis.
- Author
-
Staerkle RF, Lunger F, Fink L, Sasse T, Lacher M, von Elm E, Marwan AI, Holland-Cunz S, and Vuille-Dit-Bille RN
- Subjects
- Abscess epidemiology, Humans, Hypertrophy surgery, Incisional Hernia epidemiology, Infant, Infant, Newborn, Intestinal Perforation epidemiology, Laparoscopy adverse effects, Length of Stay statistics & numerical data, Postoperative Complications epidemiology, Pyloromyotomy adverse effects, Pylorus pathology, Pylorus surgery, Randomized Controlled Trials as Topic, Surgical Wound Infection epidemiology, Laparoscopy methods, Pyloric Stenosis surgery, Pyloromyotomy methods
- Abstract
Background: Infantile hypertrophic pyloric stenosis (IHPS) is a disorder of young children (aged one year or less) and can be treated by laparoscopic (LP) or open (OP) longitudinal myotomy of the pylorus. Since the first description in 1990, LP is being performed more often worldwide., Objectives: To compare the efficacy and safety of open versus laparoscopic pyloromyotomy for IHPS., Search Methods: We conducted a literature search on 04 February 2021 to identify all randomised controlled trials (RCTs), without any language restrictions. We searched the following electronic databases: MEDLINE (1990 to February 2021), Embase (1990 to February 2021), and the Cochrane Central Register of Controlled Trials (CENTRAL). We also searched the Internet using the Google Search engine (www.google.com) and Google Scholar (scholar.google.com) to identify grey literature not indexed in databases., Selection Criteria: We included RCTs and quasi-randomised trials comparing LP with OP for hypertrophic pyloric stenosis., Data Collection and Analysis: Two review authors independently screened references and extracted data from trial reports. Where outcomes or study details were not reported, we requested missing data from the corresponding authors of the primary RCTs. We used a random-effects model to calculate risk ratios (RRs) for binary outcomes, and mean differences (MDs) for continuous outcomes. Two review authors independently assessed risks of bias. We used GRADE to assess the certainty of the evidence for all outcomes., Main Results: The electronic database search resulted in a total of 434 records. After de-duplication, we screened 410 independent publications, and ultimately included seven RCTs (reported in 8 reports) in quantitative analysis. The seven included RCTs enrolled 720 participants (357 with open pyloromyotomy and 363 with laparoscopic pyloromyotomy). One study was a multi-country trial, three were carried out in the USA, and one study each was carried out in France, Japan, and Bangladesh. The evidence suggests that LP may result in a small increase in mucosal perforation compared with OP (RR 1.60, 95% CI 0.49 to 5.26; 7 studies, 720 participants; low-certainty evidence). LP may result in up to 5 extra instances of mucosal perforation per 1,000 participants; however, the confidence interval ranges from 4 fewer to 44 more per 1,000 participants. Four RCTs with 502 participants reported on incomplete pyloromyotomy. They indicate that LP may increase the risk of incomplete pyloromyotomy compared with OP, but the confidence interval crosses the line of no effect (RR 7.37, 95% CI 0.92 to 59.11; 4 studies, 502 participants; low-certainty evidence). In the LP groups, 6 cases of incomplete pyloromyotomy were reported in 247 participants while no cases of incomplete pyloromyotomy were reported in the OP groups (from 255 participants). All included studies (720 participants) reported on postoperative wound infections or abscess formations. The evidence is very uncertain about the effect of LP on postoperative wound infection or abscess formation compared with OP (RR 0.59, 95% CI 0.24 to 1.45; 7 studies, 720 participants; very low-certainty evidence). The evidence is also very uncertain about the effect of LP on postoperative incisional hernia compared with OP (RR 1.01, 95% CI 0.11 to 9.53; 4 studies, 382 participants; very low-certainty evidence). Length of hospital stay was assessed by five RCTs, including 562 participants. The evidence is very uncertain about the effect of LP compared to OP (mean difference -3.01 hours, 95% CI -8.39 to 2.37 hours; very low-certainty evidence). Time to full feeds was assessed by six studies, including 622 participants. The evidence is very uncertain about the effect of LP on time to full feeds compared with OP (mean difference -5.86 hours, 95% CI -15.95 to 4.24 hours; very low-certainty evidence). The evidence is also very uncertain about the effect of LP on operating time compared with OP (mean difference 0.53 minutes, 95% CI -3.53 to 4.59 minutes; 6 studies, 622 participants; very low-certainty evidence)., Authors' Conclusions: Laparoscopic pyloromyotomy may result in a small increase in mucosal perforation when compared with open pyloromyotomy for IHPS. There may be an increased risk of incomplete pyloromyotomy following LP compared with OP, but the effect estimate is imprecise and includes the possibility of no difference. We do not know about the effect of LP compared with OP on the need for re-operation, postoperative wound infections or abscess formation, postoperative haematoma or seroma formation, incisional hernia occurrence, length of postoperative stay, time to full feeds, or operating time because the certainty of the evidence was very low for these outcomes. We downgraded the certainty of the evidence for most outcomes due to limitations in the study design (most outcomes were susceptible to detection bias) and imprecision. There is limited evidence available comparing LP with OP for IHPS. The included studies did not provide sufficient information to determine the effect of training, experience, or surgeon preferences on the outcomes assessed., (Copyright © 2021 The Cochrane Collaboration. Published by John Wiley & Sons, Ltd.)
- Published
- 2021
- Full Text
- View/download PDF
49. Incidence of metachronous contralateral inguinal hernias in children following unilateral repair - A meta-analysis of prospective studies.
- Author
-
Wenk K, Sick B, Sasse T, Moehrlen U, Meuli M, and Vuille-dit-Bille RN
- Subjects
- Child, Humans, Infant, Risk Factors, Hernia, Inguinal complications, Hernia, Inguinal surgery
- Abstract
Purpose: The objective of this review was to systematically evaluate the incidence of a metachronous contralateral inguinal hernia (MCIH) in children with unilateral inguinal hernia and therefore to propose or to reject routine contralateral groin exploration., Methods: Electronic searches restricted to prospective studies with a minimal follow-up of 1year included MEDLINE, EMBASE and the Cochrane Central Register of Controlled Trials., Results: Six studies involving 1669 children were included. Overall MCIH was 6% (95% CI from 4% to 8%). The odds for MCIH development were significantly larger in children with an initial left-sided hernia (OR 2.66 with 95% CI from 1.56 to 4.53) and in children with open contralateral processus vaginalis (CPV) (OR 4.17 with 95% CI from 1.25 to 13.9)., Conclusions: The overall incidence of MCIH following unilateral inguinal hernia repair in children is 6%. Initial left-sided hernia (8.5%) and open CPV (13.8%) are risk factors for MCIH development. Female gender (8.2%) and younger age (<1year) (6.9%) non-significantly increase the risk of MCIH., (Copyright © 2015 Elsevier Inc. All rights reserved.)
- Published
- 2015
- Full Text
- View/download PDF
50. Human intestine luminal ACE2 and amino acid transporter expression increased by ACE-inhibitors.
- Author
-
Vuille-dit-Bille RN, Camargo SM, Emmenegger L, Sasse T, Kummer E, Jando J, Hamie QM, Meier CF, Hunziker S, Forras-Kaufmann Z, Kuyumcu S, Fox M, Schwizer W, Fried M, Lindenmeyer M, Götze O, and Verrey F
- Subjects
- Amino Acid Transport Systems, Neutral metabolism, Angiotensin-Converting Enzyme 2, Animals, Gene Expression drug effects, Humans, Intestines drug effects, Intestines enzymology, Membrane Transport Proteins metabolism, Peptidyl-Dipeptidase A metabolism, Protein Transport drug effects, Xenopus laevis, Amino Acid Transport Systems, Neutral genetics, Angiotensin-Converting Enzyme Inhibitors pharmacology, Intestinal Mucosa metabolism, Membrane Transport Proteins genetics, Peptidyl-Dipeptidase A genetics, Up-Regulation drug effects
- Abstract
Sodium-dependent neutral amino acid transporter B(0)AT1 (SLC6A19) and imino acid (proline) transporter SIT1 (SLC6A20) are expressed at the luminal membrane of small intestine enterocytes and proximal tubule kidney cells where they exert key functions for amino acid (re)absorption as documented by their role in Hartnup disorder and iminoglycinuria, respectively. Expression of B(0)AT1 was shown in rodent intestine to depend on the presence of the carboxypeptidase angiotensin-converting enzyme 2 (ACE2). This enzyme belongs to the renin-angiotensin system and its expression is induced by treatment with ACE-inhibitors (ACEIs) or angiotensin II AT1 receptor blockers (ARBs) in many rodent tissues. We show here in the Xenopus laevis oocyte expression system that human ACE2 also functionally interacts with SIT1. To investigate in human intestine the potential effect of ACEIs or ARBs on ACE2, we analysed intestinal biopsies taken during routine gastroduodenoscopy and ileocolonoscopy from 46 patients of which 9 were under ACEI and 13 ARB treatment. Analysis of transcript expression by real-time PCR and of proteins by immunofluorescence showed a co-localization of SIT1 and B(0)AT1 with ACE2 in the brush-border membrane of human small intestine enterocytes and a distinct axial expression pattern of the tested gene products along the intestine. Patients treated with ACEIs displayed in comparison with untreated controls increased intestinal mRNA levels of ACE2, peptide transporter PEPT1 (SLC15A1) and AA transporters B(0)AT1 and PAT1 (SLC36A1). This study unravels in human intestine the localization and distribution of intestinal transporters involved in amino acid absorption and suggests that ACEIs impact on their expression.
- Published
- 2015
- Full Text
- View/download PDF
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.