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3,042 results on '"Wade D"'

151. Rapidly rising cases with Omicron in Senegal

Author

Padane, A., Mbow, M., Mboup, A., Diedhiou, C.K., Gueye, K., Lo, C.I., Ndiour, S., Leye, N., Ndoye, A.S., Selbé Ndiaye, A.J., Diagne, N.D., Ndiaye, S., Beye, M., Sarr, M., Lo, G., Wade, D., Ahouidi, A., Diaw, P.A., Camara, M., Touré Kane, N.C., and Mboup, S.

Published
2022
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153. Learning To Coach through Experience: Reflection in Model Youth Sport Coaches.

Author

Gilbert, Wade D. and Trudel, Pierre

Abstract

Examined how model youth sport coaches learned to coach through experience. Data collected via interviews, observations, and documents indicated that all the coaches developed and refined coaching strategies through a process of reflection. Components characterizing reflection included strategy generation, experimentation, and evaluation. Three types of reflection were evident (reflection-in-action, reflection-on-action, and retrospective reflection-on-action). (SM)

Published
2001

154. Erratum to: Microsatellite records for volume 7, issue 4

Author

Basiita, Rose Komugisha, Henrich Bruggemann, J., Cai, Nianhui, Cáliz-Campal, Conchi, Chen, Chen, Chen, Jiawei, Cizek, L., Cordero, Pedro J., Dawson, Deborah A., Ding, Yandong, Drag, L., Duan, Anan, Fogliani, Bruno, Gao, Tian-xiang, Gélin, Pauline, Genner, Martin J., Gu, Zhi-Min, Guillaume, Mireille M. M., Guo, Jian-Lin, He, Chengzhong, Hollingsworth, Peter M., Horsburgh, Gavin J., Inoue-Murayama, Miho, Ito, Hideyuki, Jerry, Dean Robert, Jia, Yong-Yi, Jiang, Wen-Ping, Jones, Catherine S., Jones, David Byron, Kong, Lingfeng, Li, Qi, Li, Chun-hou, Li, Xi-Lian, Li, Jiang, Li, Xiugen, Lian, Qing-Ping, Lieber, Lilian, Liu, Lu, Liu, Shi-Li, Liu, Mengwen, Luo, Shuping, Maeda, Taku, Magalon, Hélène, Martin, Renee M., Mehn, Vincent, Meyza, K., Noble, Leslie R., Noguerales, Víctor, Ogden, Rob, Oleksa, A., Onuma, Manabu, Ortego, Joaquín, Pan, Ying, Robinson, Morgan L., Rougeux, Clément, Ruhsam, Markus, Sato, Yu, Song, Na, Su, Xiangju, Sungani, Harold, Tao, Panfeng, Tian, Bin, Tian, Jia, Wang, Ruoran, Wang, Xiaolu, Wang, Xiaojun, Wang, Dawei, Wilson, Wade D., Wu, Mingcan, Wu, Xueping, Wulff, Adrien S., Xu, Yulan, Xu, Yang, Yanagimoto, Takashi, Yin, Shaowu, Yu, Hong, Zeng, Bin, Zenger, Kyall Richard, Zhang, Guosong, Zhao, Jin-Liang, and Zhou, Yuna

Published
2016
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169. CryoFold: determining protein structures and data-guided ensembles from cryo-EM density maps

Author

Gaspard Debussche, Emad Tajkhorshid, Mrinal Shekhar, Chitrak Gupta, Jonathan Nguyen, Wade D. Van Horn, Alberto Perez, Abhishek Singharoy, Daisuke Kihara, John Vant, Nicholas J. Sisco, Arup Mondal, Genki Terashi, Ken A. Dill, Daipayan Sarkar, and Petra Fromme

Subjects
Quantitative Biology::Biomolecules, Ensemble forecasting, Computer science, Cryo-electron microscopy, 1.1 Normal biological development and functioning, Resolution (electron density), Bioengineering, Folding (DSP implementation), Python (programming language), 1.4 Methodologies and measurements, Article, Molecular dynamics, Protein structure, Underpinning research, 2.1 Biological and endogenous factors, General Materials Science, Protein folding, Generic health relevance, Aetiology, Biological system, computer, computer.programming_language
Abstract

Cryo-electron microscopy (EM) requires molecular modeling to refine structural details from data. Ensemble models arrive at low free-energy molecular structures, but are computationally expensive and limited to resolving only small proteins that cannot be resolved by cryo-EM. Here, we introduce CryoFold - a pipeline of molecular dynamics simulations that determines ensembles of protein structures directly from sequence by integrating density data of varying sparsity at 3-5 Å resolution with coarse-grained topological knowledge of the protein folds. We present six examples showing its broad applicability for folding proteins between 72 to 2000 residues, including large membrane and multi-domain systems, and results from two EMDB competitions. Driven by data from a single state, CryoFold discovers ensembles of common low-energy models together with rare low-probability structures that capture the equilibrium distribution of proteins constrained by the density maps. Many of these conformations, unseen by traditional methods, are experimentally validated and functionally relevant. We arrive at a set of best practices for data-guided protein folding that are controlled using a Python GUI.

Published
2021

176. Contributors

Author

Acharya, Tusar Kanta, Ahern, Gerard P., Al-Omari, Ammar, Ann, Jihyae, Aswin, Tanishaa, Banerjee, Anushka, Behrendt, Marc, Belvisi, Maria G., Bencze, Noémi, Bevan, Stuart, Bishnoi, Mahendra, Blumberg, Peter M., Bonvini, Sara J., Brain, Susan D., Campbell, James N., Cantero, María del Rocío, Cantiello, Horacio F., Chapman, Hugh, Charrua, A., Chung, Man-Kyo, Connolly, James, Cruz, F., Das, Nilesh Kumar, De Logu, Francesco, Dubey, Nishant Kumar, Erin, Nuray, Fallah, Hamideh P., Geppetti, Pierangelo, Goswami, Luna, Goswami, Chandan, Halder, Ramizur Rahaman, He, Qian, Helyes, Zsuzsanna, Holm, Patrik, Huang, Huizhen, Hudhud, Lina, Iannone, Luigi Francesco, Islas, Leon D., Jaffal, Sahar Majdi, Jalava, Niina, Kashio, Makiko, Kiselyov, Kirill, Koivisto, Ari, Konkoly, János, Kormos, Viktória, Kovács-Rozmer, Katalin, Kriszta, Gábor, Kuhad, Anurag, Kumar, Shamit, Kumar, Vikash, Kumar, Satish, Kumar, Abhishek, Lal, Roshan, Leavell, Yaowaree, Lee, Jeewoo, Liang, Dong, Liu, Yusheng, Lopez, Kyle E., Lyu, Yihan, Mahapatra, Parnasree, McKemy, David D., Mishra, Subham, Mohanta, Sushama, Nadezhdin, Kirill D., Nassini, Romina, Oláh, Attila, Patel, Mihir, Pepelyayeva, Yuliya, Pertovaara, Antti, Phan, Thieu X., Pintér, Erika, Pires, Paulo W., Pohóczky, Krisztina, Porszász, Robert, Pozsgai, Gábor, Puri, Priyanka, Rangel-Yescas, Gisela E., Rantanen, Marja, Rardin, Benjamin, Rokade, Tejas Pravin, Rosenberg, Paul, Ross, Sarah E., Royal, Mike A., Sahu, Ram Prasad, Savu, Andrea, Shikha, Deep, Silva, Josiane F., Simpson, David, Sing, Raima, Snyder, Lindsey M., Sobolevsky, Alexander I., Sodhi, Rupinder Kaur, Stevens, Randall, Szallasi, Arpad, Szőke, Éva, Szöllősi, Attila Gábor, Tóth, Attila, Tóth, Balázs István, Van Horn, Wade D., Wang, Hongmei, Wortley, Michael A., Zhang, Jinwei, and Zhou, Zirui

Published
2024
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181. Correction to: Variation in neurosurgical management of traumatic brain injury: a survey in 68 centers participating in the CENTER-TBI study (Acta Neurochirurgica, (2019), 161, 3, (435-449), 10.1007/s00701-018-3761-z)

Author

van Essen T. A., van Essen, T, den Boogert, H, Cnossen, M, de Ruiter, G, Haitsma, I, Polinder, S, Steyerberg, E, Menon, D, Maas, A, Lingsma, H, Peul, W, Ackerlund, C, Adams, H, Agnoletti, V, Allanson, J, Amrein, K, Andaluz, N, Andelic, N, Andreassen, L, Antun, A, Anke, A, Antoni, A, Ardon, H, Audibert, G, Auslands, K, Azouvi, P, Azzolini, M, Baciu, C, Badenes, R, Bartels, R, Larizza, D, Barzo, P, Bauerfeind, U, Beauvais, R, Beer, R, Belda, F, Bellander, B, Belli, A, Bellier, R, Benali, H, Benard, T, Berardino, M, Beretta, L, Beynon, C, Bilotta, F, Binder, H, Biqiri, E, Blaabjerg, M, Bouzat, P, Bragge, P, Brazinova, A, Brinck, V, Brooker, J, Brorsson, C, Buki, A, Bullinger, M, Calappi, E, Calvi, M, Cameron, P, Carbayo, L, Carbonara, M, Carise, E, Carpenter, K, Castano-Leon, A, Causin, F, Chevallard, G, Chieregato, A, Citerio, G, Coburn, M, Coles, J, Coles-Kemp, L, Collett, J, Cooper, J, Correia, M, Covic, A, Curry, N, Czeiter, E, Czosnyka, M, Dahyot-Fizelier, C, Damas, F, Damas, P, Dawes, H, De Keyser, V, Della, C, Depreitere, B, Dilvesi, D, Ding, S, Dippel, D, Dixit, A, Donoghue, E, Dreier, J, Duliere, G, Eapen, G, Engemann, H, Ercole, A, Esser, P, Ezer, E, Fabricius, M, Feigin, V, Feng, J, Foks, K, Fossi, F, Francony, G, Freo, U, Frisvold, S, Furmanov, A, Gagliardo, P, Galanaud, D, Gantner, D, Gao, G, Geleijns, K, George, P, Ghuysen, A, Giga, L, Giraud, B, Glocker, B, Golubovic, J, Gomez, P, Grossi, F, Gruen, R, Gupta, D, Haagsma, J, Hartings, J, Helbok, R, Helseth, E, Hertle, D, Hoedemaekers, A, Hoefer, S, Horton, L, Huijben, J, Hutchinson, P, Haberg, A, Jacobs, B, Jankowski, S, Jarrett, M, Jelaca, B, Jiang, J, Jones, K, Kamnitsas, K, Karan, M, Katila, A, Kaukonen, M, Kerforne, T, Kivisaari, R, Kolias, A, Kolumban, B, Kompanje, E, Kolundzija, K, Kondziella, D, Koskinen, L, Kovacs, N, Lagares, A, Lanyon, L, Laureys, S, Lecky, F, Ledig, C, Lefering, R, Legrand, V, Lei, J, Levi, L, Lightfoot, R, Loeckx, D, Lozano, A, Macdonald, S, Maegele, M, Majdan, M, Major, S, Manara, A, Manley, G, Martin, D, Martin, L, Martino, C, Maruenda, A, Marechal, H, Masala, A, Mattern, J, Mcfadyen, C, Mcmahon, C, Melegh, B, Menovsky, T, Morganti-Kossmann, C, Mulazzi, D, Muraleedharan, V, Murray, L, Muhlan, H, Nair, N, Negru, A, Nelson, D, Newcombe, V, Nieboer, D, Noirhomme, Q, Nyiradi, J, Oddo, M, Oldenbeuving, A, Oresic, M, Ortolano, F, Palotie, A, Parizel, P, Patruno, A, Payen, J, Perera, N, Perlbarg, V, Persona, P, Piippo-Karjalainen, A, Pili, F, Pirinen, M, Ples, H, Poca, M, Pomposo, I, Posti, J, Puybasset, L, Radoi, A, Ragauskas, A, Raj, R, Rambadagalla, M, Real, R, Rehorcikova, V, Rhodes, J, Ripatti, S, Rocka, S, Roe, C, Roise, O, Roks, G, Rosand, J, Rosenfeld, J, Rosenlund, C, Rosenthal, G, Rossaint, R, Rossi, S, Rueckert, D, Rusnak, M, Sacchi, M, Sahakian, B, Sahuquillo, J, Sakowitz, O, Sala, F, Sanchez-Porras, R, Sandor, J, Santos, E, Sasu, L, Savo, D, Schaffer, N, Schipper, I, Schlosser, B, Schmidt, S, Schoechl, H, Schoonman, G, Schou, R, Schwendenwein, E, Scholl, M, Sir, O, Skandsen, T, Smakman, L, Smeets, D, Smielewski, P, Sorinola, A, Stamatakis, E, Stanworth, S, Steinbuchel, N, Stevanovic, A, Stevens, R, Stewart, W, Stocchetti, N, Sundstrom, N, Synnot, A, Taccone, F, Takala, R, Tamas, V, Tanskanen, P, Taylor, M, Te Ao, B, Tenovuo, O, Telgmann, R, Teodorani, G, Theadom, A, Thomas, M, Tibboel, D, Tolias, C, Tshibanda, J, Trapani, T, Tudora, C, Vajkoczy, P, Vallance, S, Valeinis, E, Van der Steen, G, van der Jagt, M, van der Naalt, J, van Dijck, J, Van Hecke, W, van Heugten, C, Van Praag, D, Vande Vyvere, T, Van Waesberghe, J, Vanhaudenhuyse, A, Vargiolu, A, Vega, E, Velt, K, Verheyden, J, Vespa, P, Vik, A, Vilcinis, R, Vizzino, G, Vleggeert-Lankamp, C, Volovici, V, Voormolen, D, Vulekovic, P, Vamos, Z, Wade, D, Wang, K, Wang, L, Wessels, L, Wildschut, E, Williams, G, Wilson, L, Winkler, M, Wolf, S, Ylen, P, Younsi, A, Zaaroor, M, Zhihui, Y, Ziverte, A, Zumbo, F, van Essen T. A., den Boogert H. F., Cnossen M. C., de Ruiter G. C. W., Haitsma I., Polinder S., Steyerberg E. W., Menon D., Maas A. I. R., Lingsma H. F., Peul W. C., Ackerlund C., Adams H., Agnoletti V., Allanson J., Amrein K., Andaluz N., Andelic N., Andreassen L., Antun A., Anke A., Antoni A., Ardon H., Audibert G., Auslands K., Azouvi P., Azzolini M. L., Baciu C., Badenes R., Bartels R., Larizza D., Barzo P., Bauerfeind U., Beauvais R., Beer R., Belda F. J., Bellander B. -M., Belli A., Bellier R., Benali H., Benard T., Berardino M., Beretta L., Beynon C., Bilotta F., Binder H., Biqiri E., Blaabjerg M., den Boogert H., Bouzat P., Bragge P., Brazinova A., Brinck V., Brooker J., Brorsson C., Buki A., Bullinger M., Calappi E., Calvi M. R., Cameron P., Carbayo L. G., Carbonara M., Carise E., Carpenter K., Castano-Leon A. M., Causin F., Chevallard G., Chieregato A., Citerio G., Cnossen M., Coburn M., Coles J., Coles-Kemp L., Collett J., Cooper J. D., Correia M., Covic A., Curry N., Czeiter E., Czosnyka M., Dahyot-Fizelier C., Damas F., Damas P., Dawes H., De Keyser V., Della C. F., Depreitere B., Dilvesi D., Ding S., Dippel D., Dixit A., Donoghue E., Dreier J., Duliere G. -L., Eapen G., Engemann H., Ercole A., Esser P., Ezer E., Fabricius M., Feigin V. L., Feng J., Foks K., Fossi F., Francony G., Freo U., Frisvold S., Furmanov A., Gagliardo P., Galanaud D., Gantner D., Gao G., Geleijns K., George P., Ghuysen A., Giga L., Giraud B., Glocker B., Golubovic J., Gomez P. A., Grossi F., Gruen R. L., Gupta D., Haagsma J. A., Hartings J. A., Helbok R., Helseth E., Hertle D., Hoedemaekers A., Hoefer S., Horton L., Huijben J., Hutchinson P. J., Haberg A. K., Jacobs B., Jankowski S., Jarrett M., Jelaca B., Jiang J. -Y., Jones K., Kamnitsas K., Karan M., Katila A., Kaukonen M., Kerforne T., Kivisaari R., Kolias A. G., Kolumban B., Kompanje E., Kolundzija K., Kondziella D., Koskinen L. -O., Kovacs N., Lagares A., Lanyon L., Laureys S., Lecky F., Ledig C., Lefering R., Legrand V., Lei J., Levi L., Lightfoot R., Lingsma H., Loeckx D., Lozano A., MacDonald S., Maegele M., Majdan M., Major S., Manara A., Manley G., Martin D., Martin L. F., Martino C., Maruenda A., Marechal H., Masala A., Mattern J., McFadyen C., McMahon C., Melegh B., Menovsky T., Morganti-Kossmann C., Mulazzi D., Muraleedharan V., Murray L., Muhlan H., Nair N., Negru A., Nelson D., Newcombe V., Nieboer D., Noirhomme Q., Nyiradi J., Oddo M., Oldenbeuving A., Oresic M., Ortolano F., Palotie A., Parizel P. M., Patruno A., Payen J. -F., Perera N., Perlbarg V., Persona P., Peul W., Piippo-Karjalainen A., Pili F. S., Pirinen M., Ples H., Poca M. A., Pomposo I., Posti J., Puybasset L., Radoi A., Ragauskas A., Raj R., Rambadagalla M., Real R., Rehorcikova V., Rhodes J., Ripatti S., Rocka S., Roe C., Roise O., Roks G., Rosand J., Rosenfeld J., Rosenlund C., Rosenthal G., Rossaint R., Rossi S., Rueckert D., Rusnak M., Sacchi M., Sahakian B., Sahuquillo J., Sakowitz O., Sala F., Sanchez-Porras R., Sandor J., Santos E., Sasu L., Savo D., Schaffer N., Schipper I., Schlosser B., Schmidt S., Schoechl H., Schoonman G., Schou R. F., Schwendenwein E., Scholl M., Sir O., Skandsen T., Smakman L., Smeets D., Smielewski P., Sorinola A., Stamatakis E., Stanworth S., Steinbuchel N., Stevanovic A., Stevens R., Stewart W., Stocchetti N., Sundstrom N., Synnot A., Taccone F. S., Takala R., Tamas V., Tanskanen P., Taylor M. S., Te Ao B., Tenovuo O., Telgmann R., Teodorani G., Theadom A., Thomas M., Tibboel D., Tolias C., Tshibanda J. -F. L., Trapani T., Tudora C. M., Vajkoczy P., Vallance S., Valeinis E., Van der Steen G., van der Jagt M., van der Naalt J., van Dijck J. T. J. M., Van Hecke W., van Heugten C., Van Praag D., Vande Vyvere T., Van Waesberghe J., Vanhaudenhuyse A., Vargiolu A., Vega E., Velt K., Verheyden J., Vespa P. M., Vik A., Vilcinis R., Vizzino G., Vleggeert-Lankamp C., Volovici V., Voormolen D., Vulekovic P., Vamos Z., Wade D., Wang K. K. W., Wang L., Wessels L., Wildschut E., Williams G., Wilson L., Winkler M. K. L., Wolf S., Ylen P., Younsi A., Zaaroor M., Zhihui Y., Ziverte A., Zumbo F., van Essen T. A., van Essen, T, den Boogert, H, Cnossen, M, de Ruiter, G, Haitsma, I, Polinder, S, Steyerberg, E, Menon, D, Maas, A, Lingsma, H, Peul, W, Ackerlund, C, Adams, H, Agnoletti, V, Allanson, J, Amrein, K, Andaluz, N, Andelic, N, Andreassen, L, Antun, A, Anke, A, Antoni, A, Ardon, H, Audibert, G, Auslands, K, Azouvi, P, Azzolini, M, Baciu, C, Badenes, R, Bartels, R, Larizza, D, Barzo, P, Bauerfeind, U, Beauvais, R, Beer, R, Belda, F, Bellander, B, Belli, A, Bellier, R, Benali, H, Benard, T, Berardino, M, Beretta, L, Beynon, C, Bilotta, F, Binder, H, Biqiri, E, Blaabjerg, M, Bouzat, P, Bragge, P, Brazinova, A, Brinck, V, Brooker, J, Brorsson, C, Buki, A, Bullinger, M, Calappi, E, Calvi, M, Cameron, P, Carbayo, L, Carbonara, M, Carise, E, Carpenter, K, Castano-Leon, A, Causin, F, Chevallard, G, Chieregato, A, Citerio, G, Coburn, M, Coles, J, Coles-Kemp, L, Collett, J, Cooper, J, Correia, M, Covic, A, Curry, N, Czeiter, E, Czosnyka, M, Dahyot-Fizelier, C, Damas, F, Damas, P, Dawes, H, De Keyser, V, Della, C, Depreitere, B, Dilvesi, D, Ding, S, Dippel, D, Dixit, A, Donoghue, E, Dreier, J, Duliere, G, Eapen, G, Engemann, H, Ercole, A, Esser, P, Ezer, E, Fabricius, M, Feigin, V, Feng, J, Foks, K, Fossi, F, Francony, G, Freo, U, Frisvold, S, Furmanov, A, Gagliardo, P, Galanaud, D, Gantner, D, Gao, G, Geleijns, K, George, P, Ghuysen, A, Giga, L, Giraud, B, Glocker, B, Golubovic, J, Gomez, P, Grossi, F, Gruen, R, Gupta, D, Haagsma, J, Hartings, J, Helbok, R, Helseth, E, Hertle, D, Hoedemaekers, A, Hoefer, S, Horton, L, Huijben, J, Hutchinson, P, Haberg, A, Jacobs, B, Jankowski, S, Jarrett, M, Jelaca, B, Jiang, J, Jones, K, Kamnitsas, K, Karan, M, Katila, A, Kaukonen, M, Kerforne, T, Kivisaari, R, Kolias, A, Kolumban, B, Kompanje, E, Kolundzija, K, Kondziella, D, Koskinen, L, Kovacs, N, Lagares, A, Lanyon, L, Laureys, S, Lecky, F, Ledig, C, Lefering, R, Legrand, V, Lei, J, Levi, L, Lightfoot, R, Loeckx, D, Lozano, A, Macdonald, S, Maegele, M, Majdan, M, Major, S, Manara, A, Manley, G, Martin, D, Martin, L, Martino, C, Maruenda, A, Marechal, H, Masala, A, Mattern, J, Mcfadyen, C, Mcmahon, C, Melegh, B, Menovsky, T, Morganti-Kossmann, C, Mulazzi, D, Muraleedharan, V, Murray, L, Muhlan, H, Nair, N, Negru, A, Nelson, D, Newcombe, V, Nieboer, D, Noirhomme, Q, Nyiradi, J, Oddo, M, Oldenbeuving, A, Oresic, M, Ortolano, F, Palotie, A, Parizel, P, Patruno, A, Payen, J, Perera, N, Perlbarg, V, Persona, P, Piippo-Karjalainen, A, Pili, F, Pirinen, M, Ples, H, Poca, M, Pomposo, I, Posti, J, Puybasset, L, Radoi, A, Ragauskas, A, Raj, R, Rambadagalla, M, Real, R, Rehorcikova, V, Rhodes, J, Ripatti, S, Rocka, S, Roe, C, Roise, O, Roks, G, Rosand, J, Rosenfeld, J, Rosenlund, C, Rosenthal, G, Rossaint, R, Rossi, S, Rueckert, D, Rusnak, M, Sacchi, M, Sahakian, B, Sahuquillo, J, Sakowitz, O, Sala, F, Sanchez-Porras, R, Sandor, J, Santos, E, Sasu, L, Savo, D, Schaffer, N, Schipper, I, Schlosser, B, Schmidt, S, Schoechl, H, Schoonman, G, Schou, R, Schwendenwein, E, Scholl, M, Sir, O, Skandsen, T, Smakman, L, Smeets, D, Smielewski, P, Sorinola, A, Stamatakis, E, Stanworth, S, Steinbuchel, N, Stevanovic, A, Stevens, R, Stewart, W, Stocchetti, N, Sundstrom, N, Synnot, A, Taccone, F, Takala, R, Tamas, V, Tanskanen, P, Taylor, M, Te Ao, B, Tenovuo, O, Telgmann, R, Teodorani, G, Theadom, A, Thomas, M, Tibboel, D, Tolias, C, Tshibanda, J, Trapani, T, Tudora, C, Vajkoczy, P, Vallance, S, Valeinis, E, Van der Steen, G, van der Jagt, M, van der Naalt, J, van Dijck, J, Van Hecke, W, van Heugten, C, Van Praag, D, Vande Vyvere, T, Van Waesberghe, J, Vanhaudenhuyse, A, Vargiolu, A, Vega, E, Velt, K, Verheyden, J, Vespa, P, Vik, A, Vilcinis, R, Vizzino, G, Vleggeert-Lankamp, C, Volovici, V, Voormolen, D, Vulekovic, P, Vamos, Z, Wade, D, Wang, K, Wang, L, Wessels, L, Wildschut, E, Williams, G, Wilson, L, Winkler, M, Wolf, S, Ylen, P, Younsi, A, Zaaroor, M, Zhihui, Y, Ziverte, A, Zumbo, F, van Essen T. A., den Boogert H. F., Cnossen M. C., de Ruiter G. C. W., Haitsma I., Polinder S., Steyerberg E. W., Menon D., Maas A. I. R., Lingsma H. F., Peul W. C., Ackerlund C., Adams H., Agnoletti V., Allanson J., Amrein K., Andaluz N., Andelic N., Andreassen L., Antun A., Anke A., Antoni A., Ardon H., Audibert G., Auslands K., Azouvi P., Azzolini M. L., Baciu C., Badenes R., Bartels R., Larizza D., Barzo P., Bauerfeind U., Beauvais R., Beer R., Belda F. J., Bellander B. -M., Belli A., Bellier R., Benali H., Benard T., Berardino M., Beretta L., Beynon C., Bilotta F., Binder H., Biqiri E., Blaabjerg M., den Boogert H., Bouzat P., Bragge P., Brazinova A., Brinck V., Brooker J., Brorsson C., Buki A., Bullinger M., Calappi E., Calvi M. R., Cameron P., Carbayo L. G., Carbonara M., Carise E., Carpenter K., Castano-Leon A. M., Causin F., Chevallard G., Chieregato A., Citerio G., Cnossen M., Coburn M., Coles J., Coles-Kemp L., Collett J., Cooper J. D., Correia M., Covic A., Curry N., Czeiter E., Czosnyka M., Dahyot-Fizelier C., Damas F., Damas P., Dawes H., De Keyser V., Della C. F., Depreitere B., Dilvesi D., Ding S., Dippel D., Dixit A., Donoghue E., Dreier J., Duliere G. -L., Eapen G., Engemann H., Ercole A., Esser P., Ezer E., Fabricius M., Feigin V. L., Feng J., Foks K., Fossi F., Francony G., Freo U., Frisvold S., Furmanov A., Gagliardo P., Galanaud D., Gantner D., Gao G., Geleijns K., George P., Ghuysen A., Giga L., Giraud B., Glocker B., Golubovic J., Gomez P. A., Grossi F., Gruen R. L., Gupta D., Haagsma J. A., Hartings J. A., Helbok R., Helseth E., Hertle D., Hoedemaekers A., Hoefer S., Horton L., Huijben J., Hutchinson P. J., Haberg A. K., Jacobs B., Jankowski S., Jarrett M., Jelaca B., Jiang J. -Y., Jones K., Kamnitsas K., Karan M., Katila A., Kaukonen M., Kerforne T., Kivisaari R., Kolias A. G., Kolumban B., Kompanje E., Kolundzija K., Kondziella D., Koskinen L. -O., Kovacs N., Lagares A., Lanyon L., Laureys S., Lecky F., Ledig C., Lefering R., Legrand V., Lei J., Levi L., Lightfoot R., Lingsma H., Loeckx D., Lozano A., MacDonald S., Maegele M., Majdan M., Major S., Manara A., Manley G., Martin D., Martin L. F., Martino C., Maruenda A., Marechal H., Masala A., Mattern J., McFadyen C., McMahon C., Melegh B., Menovsky T., Morganti-Kossmann C., Mulazzi D., Muraleedharan V., Murray L., Muhlan H., Nair N., Negru A., Nelson D., Newcombe V., Nieboer D., Noirhomme Q., Nyiradi J., Oddo M., Oldenbeuving A., Oresic M., Ortolano F., Palotie A., Parizel P. M., Patruno A., Payen J. -F., Perera N., Perlbarg V., Persona P., Peul W., Piippo-Karjalainen A., Pili F. S., Pirinen M., Ples H., Poca M. A., Pomposo I., Posti J., Puybasset L., Radoi A., Ragauskas A., Raj R., Rambadagalla M., Real R., Rehorcikova V., Rhodes J., Ripatti S., Rocka S., Roe C., Roise O., Roks G., Rosand J., Rosenfeld J., Rosenlund C., Rosenthal G., Rossaint R., Rossi S., Rueckert D., Rusnak M., Sacchi M., Sahakian B., Sahuquillo J., Sakowitz O., Sala F., Sanchez-Porras R., Sandor J., Santos E., Sasu L., Savo D., Schaffer N., Schipper I., Schlosser B., Schmidt S., Schoechl H., Schoonman G., Schou R. F., Schwendenwein E., Scholl M., Sir O., Skandsen T., Smakman L., Smeets D., Smielewski P., Sorinola A., Stamatakis E., Stanworth S., Steinbuchel N., Stevanovic A., Stevens R., Stewart W., Stocchetti N., Sundstrom N., Synnot A., Taccone F. S., Takala R., Tamas V., Tanskanen P., Taylor M. S., Te Ao B., Tenovuo O., Telgmann R., Teodorani G., Theadom A., Thomas M., Tibboel D., Tolias C., Tshibanda J. -F. L., Trapani T., Tudora C. M., Vajkoczy P., Vallance S., Valeinis E., Van der Steen G., van der Jagt M., van der Naalt J., van Dijck J. T. J. M., Van Hecke W., van Heugten C., Van Praag D., Vande Vyvere T., Van Waesberghe J., Vanhaudenhuyse A., Vargiolu A., Vega E., Velt K., Verheyden J., Vespa P. M., Vik A., Vilcinis R., Vizzino G., Vleggeert-Lankamp C., Volovici V., Voormolen D., Vulekovic P., Vamos Z., Wade D., Wang K. K. W., Wang L., Wessels L., Wildschut E., Williams G., Wilson L., Winkler M. K. L., Wolf S., Ylen P., Younsi A., Zaaroor M., Zhihui Y., Ziverte A., and Zumbo F.

Abstract

The names of themembers of the IOPSMS study Group was inverted in the original paper and is now corrected in this article.

Published
2019

189. Number of performance measures versus number of decision making units in DEA

Author

Joe Zhu, Wade D. Cook, and Dariush Khezrimotlagh

Subjects
021103 operations research, Power over, Computer science, Rank (computer programming), Statistics, 0211 other engineering and technologies, Data envelopment analysis, General Decision Sciences, 02 engineering and technology, Management Science and Operations Research, Power (physics)
Abstract

Sufficient numbers of decision-making units (DMUs) in comparison to the number performance measures that are classified as inputs and outputs has been a concern when applying data envelopment analysis (DEA) in real world settings. As the number of DMUs decreases (or the numbers of inputs and outputs increases) the discrimination power and accuracy of DEA with respect to the performance of DMUs decreases. The current study proposes a technique which increases the discrimination power of DEA and allows for increasing the numbers of inputs and outputs even if the number of DMUs is relatively small. An adjusted DEA methodology is proposed which is stronger and more accurate than the routine DEA methodology, and permits one to identify the reference units for each best-practice unit (more than the DMU itself) and to distinguish the performance and rank of DMUs relative to one another, thereby enhancing the discrimination power of DEA. The scores from the adjusted methodology are logically meaningful. The pros of the new approach are demonstrated by several examples and simulation experiments in controlled environments. The results show that the proposed technique significantly improves the discrimination power over that of the conventional DEA model when the number of DMUs decreases or the number of inputs and outputs increases. In addition, the proposed technique is used to evaluate the quality-of-life related to twelve input–output combinations for two sets of DMUs, namely fifteen USA cities and five international cities, where none of the rules of thumb are satisfied.

Published
2019
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190. Measuring efficiency in DEA in the presence of common inputs

Author

Sonia Valeria Avilés-Sacoto, David Güemes-Castorena, Wade D. Cook, and Joe Zhu

Subjects
Marketing, Set (abstract data type), Mathematical optimization, 021103 operations research, Strategy and Management, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Data envelopment analysis, 020201 artificial intelligence & image processing, 02 engineering and technology, Management Science and Operations Research, Management Information Systems, Mathematics
Abstract

Data envelopment analysis (DEA) is a methodology for evaluating the relative efficiencies of a set of decision-making units (DMUs). It is commonly assumed that the DMUs are independent of one anoth...

Published
2019
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191. Statement paper on diversity for the European Society of Intensive Care Medicine (ESICM)

Author

Weiss, Bjoern, Weiss, B., Prisco, L., Boulanger, C., Einav, S., Gruber, P., Laake, J. H., Mehta, S., Ostermann, M., Antonelli, M., Ben Nun, M., Bollen Pinto, B., Borkowska, M., Borthwick, M., Cecconi, M., Costa-Pinto, R., Derde, L. P. G., Forni, L. G., Galazzi, A., Girbes, A., Herridge, M., Hofsø, K., Juffermans, N. P., Kesecioglu, J., Lobo-Valbuena, B., Machado, F. R., Mekontso Dessap, A., Metaxa, V., Myatra, S. N., Olusanya, O., Rosenthal, M., Rygård, S. L., Schaller, S. J., Underman, K., Wade, D. M., Intensive Care Medicine, Intensive care medicine, and ACS - Diabetes & metabolism

Subjects
Male, medicine.medical_specialty, Critical Care, media_common.quotation_subject, Culture, Ethnic group, Critical Care and Intensive Care Medicine, 03 medical and health sciences, Politics, 0302 clinical medicine, Sex Factors, NOMINATE, medicine, Humans, Intensive care medicine, Society, Minority Groups, Societies, Medical, media_common, Diversity, business.industry, 030208 emergency & critical care medicine, Cultural Diversity, Identification (information), 030228 respiratory system, Socioeconomic Factors, Sexual orientation, What's New in Intensive Care, Female, Element (criminal law), Working group, business, Diversity (politics)
Abstract

Introduction Diversity has become a key-strategic element of success in various political and economic fields. The European Society of Intensive Care Medicine (ESICM) decided to make diversity a key strategic priority for the future and appointed a Task-Force on this topic. Methods In a consensus process, three Working-Groups, nominated by Task-Force members, developed statements on strategic future topics. In addition, diversity-related data available from the membership database have been analyzed and reported in aggregated form. Results The Task-Force decided to nominate working groups on (1) “sex, gender identity and sexual orientation”, (2) “ethnicity, culture and socio-economic status”, and (3) “multiprofessionalism”. These are the first prioritized topics for the near future. The first diversity-report shows targetable items in all three domains. Conclusion The diversity Task-Force defined actionable items for a one- and three-year plan that are especially aiming at the identification of potential gaps and an implementation of concrete projects for members of the ESICM. Electronic supplementary material The online version of this article (10.1007/s00134-019-05606-0) contains supplementary material, which is available to authorized users.

Published
2019
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194. Efficiency measurement with products and partially desirable co-products

Author

Joe Zhu, Liang Liang, Wanghong Li, Wade D. Cook, and Zhepeng Li

Subjects
Marketing, Set (abstract data type), 021103 operations research, Computer science, Strategy and Management, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, 02 engineering and technology, Biochemical engineering, Management Science and Operations Research, Management Information Systems
Abstract

Many operational processes that set out to create a specific set of products will often involve the creation of a set of associated co-products. The problem of interest is how to evaluate t...

Published
2019
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195. Abstract 2009: Elucidating the mechanistic effect of targeting Ref-1 redox function on MPNST survival signaling using patient-derived xenolines

Author

Silpa Gampala, Olivia Babb, Nikkitha Umesh Ganesh, Steven D. Rhodes, Reza M. Saadatzadeh, Kai Pollard, Christine Pratilas, Jing-Ruey Joanna Yeh, Karen E. Pollok, Wade D. Clapp, Mark R. Kelley, Chi Zhang, and Melissa L. Fishel

Subjects
Cancer Research, Oncology
Abstract

Malignant Peripheral Nerve Sheath Tumor (MPNST) is a rare soft tissue sarcoma common in patients with NF1 (neurofibromatosis type 1). MPNSTs respond poorly to most chemotherapeutics due to molecular heterogeneity and altered signal transduction pathways. Ref-1 and STAT3 are highly expressed in MPNST patient samples offering druggable pathways. Inhibition of one singular protein, like Ref-1 to block the activity of many important transcription factors (TFs), STAT3, HIF1a, and NFkB is key to improving success in MPNST therapy. Inhibition of both Ref-1 and STAT3 in MPNST lines resulted in decreased proliferation, wound healing, tumor signaling, and deactivation of MPNST survival genes. Further, knockdown of Ref-1 or STAT3 resulted in a concordant decrease in NFkB activity. Ref-1 redox inhibitor, APX3330 that completed Phase I clinical trial (NCT03375086), potently inhibited in vitro growth of a panel of MPNST cells. We have also been developing new more potent analogs of APX3330 for inhibition of Ref-1 redox function and potent cell killing in our panel of MPNST cells. Several of these analogs significantly and potently reduced NFkB and HIF1a activity at concentrations where cell killing was minimal, pointing toward an on-target effect. Based on the role of Ref-1 in transcriptional regulation of MPNST, RNA sequencing after knockdown of Ref-1 was used to determine mechanistic effects on MPNST gene expression. We have identified 443 genes up-regulated and 758 genes down-regulated in two MPNST cell lines with siRef-1. The pathways enriched by the commonly up-regulated genes included RNA polymerase, P53 downstream, glycerophospholipid, and other lipid metabolism pathways; the pathways enriched by the commonly down-regulated genes included cell cycle, adaptive immune response, and VEGF signaling pathways. From this data, we also found that OXPHOS (Oxidative Phosphorylation) pathway genes (like NDUFS2, SURF1, COX15) were down with siRef-1 along with others like AURKA, RNASEH2A, CDC20, GINS4, TIMELESS that were identified in our previous publication to be MPNST survival genes. Based on our published observations that Ref-1 inhibition dramatically affects metabolic pathways, we used OXPHOS deficient and proficient osteosarcoma cells and confirmed the impact of Ref-1 redox activity on metabolism. Furthermore, if we combine Ref-1 inhibition with a-ketoglutarate (aKG) and target the tumor cells’ dependence on aspartate biosynthesis, the tumor cell death was dramatic (p < 0.0001). Two new xenolines were established from patient PDXs and are being validated for growth inhibition and downregulation of MPNST survival genes with Ref-1 knockdown and redox inhibition using APX analogs both in vitro and in vivo. Successful derailing of MPNST survival pathways by targeting Ref-1 redox function is our aim to treat this rare but deadly cancer. Citation Format: Silpa Gampala, Olivia Babb, Nikkitha Umesh Ganesh, Steven D. Rhodes, Reza M. Saadatzadeh, Kai Pollard, Christine Pratilas, Jing-Ruey Joanna Yeh, Karen E. Pollok, Wade D. Clapp, Mark R. Kelley, Chi Zhang, Melissa L. Fishel. Elucidating the mechanistic effect of targeting Ref-1 redox function on MPNST survival signaling using patient-derived xenolines [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 2009.

Published
2022
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196. Human gut Bacteroidetes can utilize yeast mannan through a selfish mechanism

Author

Cuskin, Fiona, Lowe, Elisabeth C., Temple, Max J., Zhu, Yanping, Cameron, Elizabeth A., Pudlo, Nicholas A., Porter, Nathan T., Urs, Karthik, Thompson, Andrew J., Cartmell, Alan, Rogowski, Artur, Hamilton, Brian S., Chen, Rui, Tolbert, Thomas J., Piens, Kathleen, Bracke, Debby, Vervecken, Wouter, Hakki, Zalihe, Speciale, Gaetano, Munōz-Munōz, Jose L., Day, Andrew, Peña, Maria J., McLean, Richard, Suits, Michael D., Boraston, Alisdair B., Atherly, Todd, Ziemer, Cherie J., Williams, Spencer J., Davies, Gideon J., Abbott, Wade D., Martens, Eric C., and Gilbert, Harry J.

Published
2015
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