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6. Chromosome Xq23 is associated with lower atherogenic lipid concentrations and favorable cardiometabolic indices

Author

Natarajan, P. (Pradeep), Pampana, A. (Akhil), Graham, S. E. (Sarah E.), Ruotsalainen, S. E. (Sanni E.), Perry, J. A. (James A.), de Vries, P. S. (Paul S.), Broome, J. G. (Jai G.), Pirruccello, J. P. (James P.), Honigbere, M. C. (Michael C.), Aragam, K. (Krishna), Wolford, B. (Brooke), Brody, J. A. (Jennifer A.), Antonacci-Fulton, L. (Lucinda), Arden, M. (Moscati), Aslibekyan, S. (Stella), Assimes, T. L. (Themistocles L.), Ballantyne, C. M. (Christie M.), Bielak, L. F. (Lawrence F.), Bisl, J. C. (Joshua C.), Cade, B. E. (Brian E.), Do, R. (Ron), Doddapaneni, H. (Harsha), Emery, L. S. (Leslie S.), Hung, Y.-J. (Yi-Jen), Irvin, M. R. (Marguerite R.), Khan, A. T. (Alyna T.), Lange, L. (Leslie), Lee, J. (Jiwon), Lemaitre, R. N. (Rozenn N.), Martin, L. W. (Lisa W.), Metcalf, G. (Ginger), Montasser, M. E. (May E.), Moon, J.-Y. (Jee-Young), Muzny, D. (Donna), Connell, J. R. (Jeffrey R. O.), Palmer, N. D. (Nicholette D.), Peralta, J. M. (Juan M.), Peyser, P. A. (Patricia A.), Stilp, A. M. (Adrienne M.), Tsai, M. (Michael), Wang, F. F. (Fei Fei), Weeks, D. E. (Daniel E.), Yanek, L. R. (Lisa R.), Wilson, J. G. (James G.), Abecasis, G. (Goncalo), Arnett, D. K. (Donna K.), Becker, L. C. (Lewis C.), Blangercy, J. (John), Boerwinkle, E. (Eric), Bowden, D. W. (Donald W.), Chang, Y.-C. (Yi-Cheng), Chen, Y. I. (Yii-Der, I), Choi, W. J. (Won Jung), Correa, A. (Adolfo), Curran, J. E. (Joanne E.), Daly, M. J. (Mark J.), DutcherE, S. K. (Susan K.), Ellinor, P. T. (Patrick T.), Fornage, M. (Myriam), Freedman, B. I. (Barry, I), Gabriel, S. (Stacey), Germer, S. (Soren), Gibbs, R. A. (Richard A.), He, J. (Jiang), Hveem, K. (Kristian), Jarvik, G. P. (Gail P.), Kaplan, R. C. (Robert C.), Kardia, S. L. (Sharon L. R.), Kennyn, E. (Eimear), Kim, R. W. (Ryan W.), Kooperberg, C. (Charles), Laurie, C. C. (Cathy C.), Lee, S. (Seonwook), Lloyd-Jones, D. M. (Don M.), Loos, R. J. (Ruth J. F.), Lubitz, S. A. (Steven A.), Mathias, R. A. (Rasika A.), Martinez, K. A. (Karine A. Viaud), McGarvey, S. T. (Stephen T.), Mitche, B. D. (Braxton D.), Nickerson, D. A. (Deborah A.), North, K. E. (Kari E.), Palotie, A. (Aarno), Park, C. J. (Cheol Joo), Psat, B. M. (Bruce M. Y.), Rao, D. C. (D. C.), Redline, S. (Susan), Reiner, A. P. (Alexander P.), Seo, D. (Daekwan), Seo, J.-S. (Jeong-Sun), Smith, A. V. (Albert, V), Tracy, R. P. (Russell P.), Kathiresan, S. (Sekar), Cupples, L. A. (L. Adrienne), Rotten, J. I. (Jerome, I), Morrison, A. C. (Alanna C.), Rich, S. S. (Stephen S.), Ripatti, S. (Samuli), Wilier, C. (Cristen), Peloso, G. M. (Gina M.), Vasan, R. S. (Ramachandran S.), Abe, N. (Namiko), Albert, C. (Christine), Almasy, L. (Laura), Alonso, A. (Alvaro), Ament, S. (Seth), Anderson, P. (Peter), Applebaum-Bowden, D. (Deborah), Arking, D. (Dan), Ashley-Koch, A. (Allison), Auer, P. (Paul), Avramopoulos, D. (Dimitrios), Barnard, J. (John), Barnes, K. (Kathleen), Barr, R. G. (R. Graham), Barron-Casella, E. (Emily), Beaty, T. (Terri), Becker, D. (Diane), Beer, R. (Rebecca), Begum, F. (Ferdouse), Beitelshees, A. (Amber), Benjamin, E. (Emelia), Bezerra, M. (Marcos), Bielak, L. (Larry), Blackwel, T. (Thomas), Bowler, R. (Russell), Broecke, U. (Ulrich), Bunting, K. (Karen), Burchard, E. (Esteban), Buth, E. (Erin), Cardwel, J. (Jonathan), Carty, C. (Cara), Casaburi, R. (Richard), Casella, J. (James), Chaffin, M. (Mark), Chang, C. (Christy), Chasman, D. (Daniel), Chavan, S. (Sameer), Chen, B.-J. (Bo-Juen), Chen, W.-M. (Wei-Min), Chol, M. (Michael), Choi, S. H. (Seung Hoan), Chuang, L.-M. (Lee-Ming), Chung, M. (Mina), Conomos, M. P. (Matthew P.), Cornell, E. (Elaine), Crapo, J. (James), Curtis, J. (Jeffrey), Custer, B. (Brian), Damcott, C. (Coleen), Darbar, D. (Dawood), Das, S. (Sayantan), David, S. (Sean), Davis, C. (Colleen), Daya, M. (Michelle), de Andrade, M. (Mariza), DeBaunuo, M. (Michael), Duan, Q. (Qing), Devine, R. D. (Ranjan Deka Dawn DeMeo Scott), Duggirala, Q. R. (Qing Ravi), Durda, J. P. (Jon Peter), Dutcher, S. (Susan), Eaton, C. (Charles), Ekunwe, L. (Lynette), Farber, C. (Charles), Farnaml, L. (Leanna), Fingerlin, T. (Tasha), Flickinger, M. (Matthew), Franceschini, N. (Nora), Fu, M. (Mao), Fullerton, S. M. (Stephanie M.), Fulton, L. (Lucinda), Gan, W. (Weiniu), Gao, Y. (Yan), Gass, M. (Margery), Ge, B. (Bruce), Geng, X. P. (Xiaoqi Priscilla), Gignoux, C. (Chris), Gladwin, M. (Mark), Glahn, D. (David), Gogarten, S. (Stephanie), Gong, D.-W. (Da-Wei), Goring, H. (Harald), Gu, C. C. (C. Charles), Guan, Y. (Yue), Guo, X. (Xiuqing), Haessler, J. (Jeff), Hall, M. (Michael), Harris, D. (Daniel), Hawle, N. Y. (Nicola Y.), Heavner, B. (Ben), Heckbert, S. (Susan), Hernandez, R. (Ryan), Herrington, D. (David), Hersh, C. (Craig), Hidalgo, B. (Bertha), Hixson, J. (James), Hokanson, J. (John), Hong, E. (Elliott), Hoth, K. (Karin), Hsiung, C. A. (Chao Agnes), Huston, H. (Haley), Hwu, C. M. (Chii Min), Jackson, R. (Rebecca), Jain, D. (Deepti), Jaquish, C. (Cashell), Jhun, M. A. (Min A.), Johnsen, J. (Jill), Johnson, A. (Andrew), Johnson, C. (Craig), Johnston, R. (Rich), Jones, K. (Kimberly), Kang, H. M. (Hyun Min), Kaufman, L. (Laura), Kell, S. Y. (Shannon Y.), Kessler, M. (Michael), Kinney, G. (Greg), Konkle, B. (Barbara), Kramer, H. (Holly), Krauter, S. (Stephanie), Lange, C. (Christoph), Lange, E. (Ethan), Laurie, C. (Cecelia), LeBoff, M. (Meryl), Lee, S. S. (Seunggeun Shawn), Lee, W.-J. (Wen-Jane), LeFaive, J. (Jonathon), Levine, D. (David), Levy, D. (Dan), Lewis, J. (Joshua), Li, Y. (Yun), Lin, H. (Honghuang), Lin, K. H. (Keng Han), Lin, X. (Xihong), Liu, S. (Simin), Liu, Y. (Yongmei), Lunetta, K. (Kathryn), Luo, J. (James), Mahaney, M. (Michael), Make, B. (Barry), Manichaikul, A. (Ani), Mansonl, J. (JoAnn), Margolin, L. (Lauren), Mathai, S. (Susan), McArdle, P. (Patrick), Mcdonald, M.-L. (Merry-Lynn), McFarland, S. (Sean), McHugh, C. (Caitlin), Mei, H. (Hao), Meyers, D. A. (Deborah A.), Mikulla, J. (Julie), Min, N. (Nancy), Minear, M. (Mollie), Minster, R. L. (Ryan L.), Musani, S. (Solomon), Mwasongwe, S. (Stanford), Mychaleckyj, J. C. (Josyf C.), Nadkarni, G. (Girish), Naik, R. (Rakhi), Naseri, T. (Take), Nekhai, S. (Sergei), Nelson, S. C. (Sarah C.), Nickerson, D. (Deborah), Connell, J. O. (Jeff O.), Connor, T. O. (Tim O.), Ochs-Balcom, H. (Heather), Pankow, J. (James), Papanicolaou, G. (George), Parkerl, M. (Margaret), Parsa, A. (Afshin), Penchey, S. (Sara), Perez, M. (Marco), Peters, U. (Ulrike), Phillips, L. S. (Lawrence S.), Phillips, S. (Sam), Pollin, T. (Toni), Post, W. (Wendy), Becker, J. P. (Julia Powers), Boorgula, M. P. (Meher Preethi), Preuss, M. (Michael), Prokopenko, D. (Dmitry), Qasba, P. (Pankaj), Qiao, D. (Dandi), Rafaels, N. (Nicholas), Raffield, L. (Laura), Rasmussen-Torvik, L. (Laura), Ratan, A. (Aakrosh), Reed, R. (Robert), Reganl, E. (Elizabeth), Reupena, M. S. (Muagututi Sefuiva), Rice, K. (Ken), Roden, D. (Dan), Roselli, C. (Carolina), Ruczinski, I. (Ingo), Russel, P. (Pamela), Ruuska, S. (Sarah), Ryan, K. (Kathleen), Sabino, E. C. (Ester Cerdeira), Sakornsakolpatl, P. (Phuwanat), Salzberg, S. (Steven), Sandow, K. (Kevin), Sankaran, V. G. (Vijay G.), Scheller, C. (Christopher), Schmidt, E. (Ellen), Schwander, K. (Karen), Schwartz, D. (David), Sciurba, F. (Frank), Seidman, C. (Christine), Seidman, J. (Jonathan), Sheehan, V. (Vivien), Shetty, A. (Amol), Shetty, A. (Aniket), Sheu, W. H. (Wayne Hui-Heng), Shoemaker, M. B. (M. Benjamin), Silver, B. (Brian), Silvermanl, E. (Edwin), Smith, J. (Jennifer), Smith, J. (Josh), Smith, N. (Nicholas), Smith, T. (Tanja), Smoller, S. (Sylvia), Snively, B. (Beverly), Soferlm, T. (Tamar), Streeten, E. (Elizabeth), Su, J. L. (Jessica Lasky), Sung, Y. J. (Yun Ju), Sylvia, J. (Jody), Sztalryd, C. (Carole), Taliun, D. (Daniel), Tang, H. (Hua), Taub, M. (Margaret), Taylor, K. D. (Kent D.), Taylor, S. (Simeon), Telen, M. (Marilyn), Thornton, T. A. (Timothy A.), Tinker, L. (Lesley), Tirschwel, D. (David), Tiwari, H. (Hemant), Vaidya, D. (Dhananjay), VandeHaar, P. (Peter), Vrieze, S. (Scott), Walker, T. (Tarik), Wallace, R. (Robert), Waits, A. (Avram), Wan, E. (Emily), Wang, H. (Heming), Watson, K. (Karol), Weir, B. (Bruce), Weiss, S. (Scott), Weng, L.-C. (Lu-Chen), Williams, K. (Kayleen), Williams, L. K. (L. Keoki), Wilson, C. (Carla), Wong, Q. (Quenna), Xu, H. (Huichun), Yang, I. (Ivana), Yang, R. (Rongze), Zaghlou, N. (Norann), Zekavat, M. (Maryam), Zhang, Y. (Yingze), Zhao, S. X. (Snow Xueyan), Zhao, W. (Wei), Zni, D. (Degui), Zhou, X. (Xiang), Zhu, X. (Xiaofeng), Zody, M. (Michael), Zoellner, S. (Sebastian), Daly, M. (Mark), Jacob, H. (Howard), Matakidou, A. (Athena), Runz, H. (Heiko), John, S. (Sally), Plenge, R. (Robert), McCarthy, M. (Mark), Hunkapiller, J. (Julie), Ehm, M. (Meg), Waterworth, D. (Dawn), Fox, C. (Caroline), Malarstig, A. (Anders), Klinger, K. (Kathy), Call, K. (Kathy), Mkel, T. (Tomi), Kaprio, J. (Jaakko), Virolainen, P. (Petri), Pulkki, K. (Kari), Kilpi, T. (Terhi), Perola, M. (Markus), Partanen, J. (Jukka), Pitkranta, A. (Anne), Kaarteenaho, R. (Riitta), Vainio, S. (Seppo), Savinainen, K. (Kimmo), Kosma, V.-M. (Veli-Matti), Kujala, U. (Urho), Tuovila, O. (Outi), Hendolin, M. (Minna), Pakkanen, R. (Raimo), Waring, J. (Jeff), Riley-Gillis, B. (Bridget), Liu, J. (Jimmy), Biswas, S. (Shameek), Diogo, D. (Dorothee), Marshall, C. (Catherine), Hu, X. (Xinli), Gossel, M. (Matthias), Schleutker, J. (Johanna), Arvas, M. (Mikko), Hinttala, R. (Reetta), Kettunen, J. (Johannes), Laaksonen, R. (Reijo), Mannermaa, A. (Arto), Paloneva, J. (Juha), Soininen, H. (Hilkka), Julkunen, V. (Valtteri), Remes, A. (Anne), Klviinen, R. (Reetta), Hiltunen, M. (Mikko), Peltola, J. (Jukka), Tienari, P. (Pentti), Rinne, J. (Juha), Ziemann, A. (Adam), Waring, J. (Jeffrey), Esmaeeli, S. (Sahar), Smaoui, N. (Nizar), Lehtonen, A. (Anne), Eaton, S. (Susan), Landenper, S. (Sanni), Michon, J. (John), Kerchner, G. (Geoff), Bowers, N. (Natalie), Teng, E. (Edmond), Eicher, J. (John), Mehta, V. (Vinay), Gormle, P. Y. (Padhraig Y.), Linden, K. (Kari), Whelan, C. (Christopher), Xu, F. (Fanli), Pulford, D. (David), Frkkil, M. (Martti), Pikkarainen, S. (Sampsa), Jussila, A. (Airi), Blomster, T. (Timo), Kiviniemi, M. (Mikko), Voutilainen, M. (Markku), Georgantas, B. (Bob), Heap, G. (Graham), Rahimov, F. (Fedik), Usiskin, K. (Keith), Maranville, J. (Joseph), Lu, T. (Tim), Oh, D. (Danny), Kalpala, K. (Kirsi), Miller, M. (Melissa), McCarthy, L. (Linda), Eklund, K. (Kari), Palomki, A. (Antti), Isomki, P. (Pia), Piri, L. (Laura), Kaipiainen-Seppnen, O. (Oili), Lertratanaku, A. (Apinya), Bing, D. C. (David Close Marla Hochfeld Nan), Gordillo, J. E. (Jorge Esparza), Mars, N. (Nina), Laitinen, T. (Tarja), Pelkonen, M. (Margit), Kauppi, P. (Paula), Kankaanranta, H. (Hannu), Harju, T. (Terttu), Greenberg, S. (Steven), Chen, H. (Hubert), Betts, J. (Jo), Ghosh, S. (Soumitra), Salomaa, V. (Veikko), Niiranen, T. (Teemu), Juonala, M. (Markus), Metsrinne, K. (Kaj), Khnen, M. (Mika), Junttila, J. (Juhani), Laakso, M. (Markku), Pihlajamki, J. (Jussi), Sinisalo, J. (Juha), Taskinen, M.-R. (Marja-Riitta), Tuomi, T. (Tiinamaija), Laukkanen, J. (Jari), Challis, B. (Ben), Peterson, A. (Andrew), Chu, A. (Audrey), Parkkinen, J. (Jaakko), Muslin, A. (Anthony), Joensuu, H. (Heikki), Meretoja, T. (Tuomo), Aaltonen, L. (Lauri), Auranen, A. (Annika), Karihtala, P. (Peeter), Kauppila, S. (Saila), Auvinen, P. (Pivi), Elenius, K. (Klaus), Popovic, R. (Relja), Schutzman, J. (Jennifer), Loboda, A. (Andrey), Chhibber, A. (Aparna), Lehtonen, H. (Heli), McDonough, S. (Stefan), Crohns, M. (Marika), Kulkarni, D. (Diptee), Kaarniranta, K. (Kai), Turunen, J. (Joni), Ollila, T. (Terhi), Seitsonen, S. (Sanna), Uusitalo, H. (Hannu), Aaltonen, V. (Vesa), Uusitalo-Jrvinen, H. (Hannele), Luodonp, M. (Marja), Hautala, N. (Nina), Strauss, E. (Erich), Chen, H. (Hao), Podgornaia, A. (Anna), Hoffman, J. (Joshua), Tasanen, K. (Kaisa), Huilaja, L. (Laura), Hannula-Jouppi, K. (Katariina), Salmi, T. (Teea), Peltonen, S. (Sirkku), Koulu, L. (Leena), Harvima, I. (Ilkka), Wu, Y. (Ying), Choy, D. (David), Jalanko, A. (Anu), Kajanne, R. (Risto), Lyhs, U. (Ulrike), Kaunisto, M. (Mari), Davis, J. W. (Justin Wade), Quarless, D. (Danjuma), Petrovski, S. (Slav), Chen, C.-Y. (Chia-Yen), Bronson, P. (Paola), Yang, R. (Robert), Chang, D. (Diana), Bhangale, T. (Tushar), Holzinger, E. (Emily), Wang, X. (Xulong), Chen, X. (Xing), Auro, K. (Kirsi), Wang, C. (Clarence), Xu, E. (Ethan), Auge, F. (Franck), Chatelain, C. (Clement), Kurki, M. (Mitja), Karjalainen, J. (Juha), Havulinna, A. (Aki), Palin, K. (Kimmo), Palta, P. (Priit), Parolo, P. D. (Pietro Della Briotta), Zhou, W. (Wei), Lemmel, S. (Susanna), Rivas, M. (Manuel), Harju, J. (Jarmo), Lehisto, A. (Arto), Ganna, A. (Andrea), Llorens, V. (Vincent), Karlsson, A. (Antti), Kristiansson, K. (Kati), Hyvrinen, K. (Kati), Ritari, J. (Jarmo), Wahlfors, T. (Tiina), Koskinen, M. (Miika), Pylkäs, K. (Katri), Kalaoja, M. (Marita), Karjalainen, M. (Minna), Mantere, T. (Tuomo), Kangasniemi, E. (Eeva), Heikkinen, S. (Sami), Laakkonen, E. (Eija), Kononen, J. (Juha), Loukola, A. (Anu), Laiho, P. (Pivi), Sistonen, T. (Tuuli), Kaiharju, E. (Essi), Laukkanen, M. (Markku), Jrvensivu, E. (Elina), Lhteenmki, S. (Sini), Mnnikk, L. (Lotta), Wong, R. (Regis), Mattsson, H. (Hannele), Hiekkalinna, T. (Tero), Jimnez, M. G. (Manuel Gonzlez), Donner, K. (Kati), Prn, K. (KaIle), Nunez-Fontarnau, J. (Javier), Kilpelinen, E. (Elina), Sipi, T. P. (Timo P.), Brein, G. (Georg), Dada, A. (Alexander), Awaisa, G. (Ghazal), Shcherban, A. (Anastasia), Sipil, T. (Tuomas), Laivuori, H. (Hannele), Kiiskinen, T. (Tuomo), Siirtola, H. (Harri), Tabuenca, J. G. (Javier Gracia), Kallio, L. (Lila), Soini, S. (Sirpa), Pitknen, K. (Kimmo), and Kuopio, T. (Teijo)

Subjects
Cardiovascular genetics, Genome-wide association studies
Abstract

Autosomal genetic analyses of blood lipids have yielded key insights for coronary heart disease (CHD). However, X chromosome genetic variation is understudied for blood lipids in large sample sizes. We now analyze genetic and blood lipid data in a high-coverage whole X chromosome sequencing study of 65,322 multi-ancestry participants and perform replication among 456,893 European participants. Common alleles on chromosome Xq23 are strongly associated with reduced total cholesterol, LDL cholesterol, and triglycerides (min P = 8.5 × 10−72), with similar effects for males and females. Chromosome Xq23 lipid-lowering alleles are associated with reduced odds for CHD among 42,545 cases and 591,247 controls (P = 1.7 × 10−4), and reduced odds for diabetes mellitus type 2 among 54,095 cases and 573,885 controls (P = 1.4 × 10−5). Although we observe an association with increased BMI, waist-to-hip ratio adjusted for BMI is reduced, bioimpedance analyses indicate increased gluteofemoral fat, and abdominal MRI analyses indicate reduced visceral adiposity. Co-localization analyses strongly correlate increased CHRDL1 gene expression, particularly in adipose tissue, with reduced concentrations of blood lipids.

Published
2021

7. Association of maternal prenatal selenium concentration and preterm birth: a multicountry meta-analysis

Author

Monangi, N. (Nagendra), Xu, H. (Huan), Khanam, R. (Rasheda), Khan, W. (Waqasuddin), Deb, S. (Saikat), Pervin, J. (Jesmin), Price, J. T. (Joan T.), Kennedy, S. H. (Stephen H.), Al Mahmud, A. (Abdullah), Fan, Y. (Yuemei), Le, T. Q. (Thanh Q.), Care, A. (Angharad), Landero, J. A. (Julio A.), Combs, G. F. (Gerald F.), Belling, E. (Elizabeth), Chappell, J. (Joanne), Kong, F. (Fansheng), Lacher, C. (Criag), Ahmed, S. (Salahuddin), Chowdhury, N. H. (Nabidul Haque), Rahman, S. (Sayedur), Kabir, F. (Furqan), Nisar, I. (Imran), Hotwani, A. (Aneeta), Mehmood, U. (Usma), Nizar, A. (Ambreen), Khalid, J. (Javairia), Dhingra, U. (Usha), Dutta, A. (Arup), Ali, S. (Said), Aftab, F. (Fahad), Juma, M. H. (Mohammed Hamad), Rahman, M. (Monjur), Vwalika, B. (Bellington), Musonda, P. (Patrick), Ahmed, T. (Tahmeed), Islam, M. M. (Md Munirul), Ashorn, U. (Ulla), Maleta, K. (Kenneth), Hallman, M. (Mikko), Goodfellow, L. (Laura), Gupta, J. K. (Juhi K.), Alfirevic, A. (Ana), Murphy, S. (Susan), Rand, L. (Larry), Ryckman, K. K. (Kelli K.), Murray, J. C. (Jeffrey C.), Bahl, R. (Rajiv), Litch, J. A. (James A.), Baruch-Gravett, C. (Courtney), Alfirevic, Z. (Zarko), Ashorn, P. (Per), Baqui, A. (Abdullah), Hirst, J. (Jane), Hoyo, C. (Cathrine), Jehan, F. (Fyezah), Jelliffe-Pawlowski, L. L. (Laura L.), Rahman, A. (Anisur), Roth, D. E. (Daniel E.), Sazawal, S. (Sunil), Stringer, J. (Jeffrey), Zhang, G. (Ge), Muglia, L. (Louis), Monangi, N. (Nagendra), Xu, H. (Huan), Khanam, R. (Rasheda), Khan, W. (Waqasuddin), Deb, S. (Saikat), Pervin, J. (Jesmin), Price, J. T. (Joan T.), Kennedy, S. H. (Stephen H.), Al Mahmud, A. (Abdullah), Fan, Y. (Yuemei), Le, T. Q. (Thanh Q.), Care, A. (Angharad), Landero, J. A. (Julio A.), Combs, G. F. (Gerald F.), Belling, E. (Elizabeth), Chappell, J. (Joanne), Kong, F. (Fansheng), Lacher, C. (Criag), Ahmed, S. (Salahuddin), Chowdhury, N. H. (Nabidul Haque), Rahman, S. (Sayedur), Kabir, F. (Furqan), Nisar, I. (Imran), Hotwani, A. (Aneeta), Mehmood, U. (Usma), Nizar, A. (Ambreen), Khalid, J. (Javairia), Dhingra, U. (Usha), Dutta, A. (Arup), Ali, S. (Said), Aftab, F. (Fahad), Juma, M. H. (Mohammed Hamad), Rahman, M. (Monjur), Vwalika, B. (Bellington), Musonda, P. (Patrick), Ahmed, T. (Tahmeed), Islam, M. M. (Md Munirul), Ashorn, U. (Ulla), Maleta, K. (Kenneth), Hallman, M. (Mikko), Goodfellow, L. (Laura), Gupta, J. K. (Juhi K.), Alfirevic, A. (Ana), Murphy, S. (Susan), Rand, L. (Larry), Ryckman, K. K. (Kelli K.), Murray, J. C. (Jeffrey C.), Bahl, R. (Rajiv), Litch, J. A. (James A.), Baruch-Gravett, C. (Courtney), Alfirevic, Z. (Zarko), Ashorn, P. (Per), Baqui, A. (Abdullah), Hirst, J. (Jane), Hoyo, C. (Cathrine), Jehan, F. (Fyezah), Jelliffe-Pawlowski, L. L. (Laura L.), Rahman, A. (Anisur), Roth, D. E. (Daniel E.), Sazawal, S. (Sunil), Stringer, J. (Jeffrey), Zhang, G. (Ge), and Muglia, L. (Louis)

Abstract

Background: Selenium (Se), an essential trace mineral, has been implicated in preterm birth (PTB). We aimed to determine the association of maternal Se concentrations during pregnancy with PTB risk and gestational duration in a large number of samples collected from diverse populations. Methods: Gestational duration data and maternal plasma or serum samples of 9946 singleton live births were obtained from 17 geographically diverse study cohorts. Maternal Se concentrations were determined by inductively coupled plasma mass spectrometry analysis. The associations between maternal Se with PTB and gestational duration were analysed using logistic and linear regressions. The results were then combined using fixed-effect and random-effect meta-analysis. Findings: In all study samples, the Se concentrations followed a normal distribution with a mean of 93.8 ng/mL (SD: 28.5 ng/mL) but varied substantially across different sites. The fixed-effect meta-analysis across the 17 cohorts showed that Se was significantly associated with PTB and gestational duration with effect size estimates of an OR=0.95 (95% CI: 0.9 to 1.00) for PTB and 0.66 days (95% CI: 0.38 to 0.94) longer gestation per 15 ng/mL increase in Se concentration. However, there was a substantial heterogeneity among study cohorts and the random-effect meta-analysis did not achieve statistical significance. The largest effect sizes were observed in UK (Liverpool) cohort, and most significant associations were observed in samples from Malawi. Interpretation: While our study observed statistically significant associations between maternal Se concentration and PTB at some sites, this did not generalise across the entire cohort. Whether population-specific factors explain the heterogeneity of our findings warrants further investigation. Further evidence is needed to understand the biologic pathways, clinical efficacy and safety, before changes to antenatal nutritional recommendations for Se supplementation are c

Published
2021

8. Hypertrophic Cardiomyopathy with Left Ventricular Systolic Dysfunction: Insights from the SHaRe Registry

Author

Marstrand, P. (Peter), Han, L. (Larry), Day, S.M. (Sharlene M.), Olivotto, I. (Iacopo), Ashley, E.A. (Euan A.), Michels, M. (Michelle), Pereira, A. (A.), Wittekind, S.G. (Samuel G.), Helms, A. (Adam), Saberi, S. (Sara), Jacoby, D. (Daniel), Ware, J.S. (James S.), Colan, S.D. (Steven), Semsarian, C. (Christopher), Ingles, J. (Jodie), Lakdawala, N.K. (Neal K.), Ho, C.Y. (Carolyn Y.), Marstrand, P. (Peter), Han, L. (Larry), Day, S.M. (Sharlene M.), Olivotto, I. (Iacopo), Ashley, E.A. (Euan A.), Michels, M. (Michelle), Pereira, A. (A.), Wittekind, S.G. (Samuel G.), Helms, A. (Adam), Saberi, S. (Sara), Jacoby, D. (Daniel), Ware, J.S. (James S.), Colan, S.D. (Steven), Semsarian, C. (Christopher), Ingles, J. (Jodie), Lakdawala, N.K. (Neal K.), and Ho, C.Y. (Carolyn Y.)

Abstract

Background: The term "end stage" has been used to describe hypertrophic cardiomyopathy (HCM) with left ventricular systolic dysfunction (LVSD), defined as occurring when left ventricular ejection fraction is <50%. The prognosis of HCM-LVSD has reportedly been poor, but because of its relative rarity, the natural history remains incompletely characterized. Methods: Data from 11 high-volume HCM specialty centers making up the international SHaRe Registry (Sarcomeric Human Cardiomyopathy Registry) were used to describe the natural history of patients with HCM-LVSD. Cox proportional hazards models were used to identify predictors of prognosis and incident development. Results: From a cohort of 6793 patients with HCM, 553 (8%) met the criteria for HCM-LVSD. Overall, 75% of patients with HCM-LVSD experienced clinically relevant events, and 35% met the composite outcome (all-cause death [n=128], cardiac transplantation [n=55], or left ventricular assist device implantation [n=9]). After recognition of HCM-LVSD, the median time to composite outcome was 8.4 years. However, there was substantial individual variation in natural history. Significant predictors of the composite outcome included the presence of multiple pathogenic/likely pathogenic sarcomeric variants (hazard ratio [HR], 5.6 [95% CI, 2.3-13.5]), atrial fibrillation (HR, 2.6 [95% CI, 1.7-3.5]), and left ventricular ejection fraction <35% (HR, 2.0 [95% CI, 1.3-2.8]). The incidence of new HCM-LVSD was ≈7.5% over 15 years. Significant predictors of developing incident HCM-LVSD included greater left ventricular cavity size (HR, 1.1 [95% CI, 1.0-1.3] and wall thickness (HR, 1.3 [95% CI, 1.1-1.4]), left ventricular ejection fraction of 50% to 60% (HR, 1.8 [95% CI, 1.2, 2.8]-2.8 [95% CI, 1.8-4.2]) at baseline evaluation, the presence of late gadolinium enhancement on cardiac magnetic resonance imaging (HR, 2.3 [95% CI, 1.0-4.9]), and the presence of a pathogenic/likely pathogenic sarcomeric variant, particularly in thin

Published
2020
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9. Response of elk to seismic exploration in the Bridger-Teton Forest, Wyoming : progress report

Author

Irwin, Larry L. (Larry Lynn), Gillin, Colin, United States. Bureau of Land Management, International Association of Geophysical Contractors, United States. Forest Service, Wyoming. Game and Fish Department, Bureau of Land Management (archive.org), Irwin, Larry L. (Larry Lynn), Gillin, Colin, United States. Bureau of Land Management, International Association of Geophysical Contractors, United States. Forest Service, and Wyoming. Game and Fish Department

Subjects
Bridger-Teton National Forest, Bridger-Teton National Forest (Wyo.), Elk, Seismic prospecting, Wyoming
Published
1984

10. Response of elk to seismic exploration in the Bridger-Teton Forest, Wyoming : progress report

Author

Irwin, Larry L. (Larry Lynn), Gillin, Colin, United States. Bureau of Land Management, International Association of Geophysical Contractors, United States. Forest Service, Wyoming. Game and Fish Department, Bureau of Land Management (archive.org), Irwin, Larry L. (Larry Lynn), Gillin, Colin, United States. Bureau of Land Management, International Association of Geophysical Contractors, United States. Forest Service, and Wyoming. Game and Fish Department

Subjects
Bridger-Teton National Forest, Bridger-Teton National Forest (Wyo.), Elk, Seismic prospecting, Wyoming

11. IMAGING EVALUATION FOR MITRAL LEAFLET MORPHOLOGY CORRELATION OF COMPUTED TOMOGRAPHY WITH TRANSESOPHAGEAL ECHOCARDIOGRAPHY

Author

Vainrib, Alan, primary, Jilaihawi, Hasan, additional, Nakashima, Makoto, additional, Paschke, Sonja, additional, Tovar, Joseph, additional, Staniloae, Cezar, additional, Ibrahim, Homam, additional, Querijero, Michael, additional, Hisamoto, Kazuhiro, additional, L, Larry Latson, additional, Gonzalez, Carlos, additional, Fuentes, Jorge, additional, Saric, Muhamed, additional, and Williams, Mathew, additional

Published
2020
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12. Homologous recombination DNA repair defects in PALB2-associated breast cancers

Author

Li, A. (Anqi), Geyer, F. C. (Felipe C.), Blecua, P. (Pedro), Lee, J. Y. (Ju Youn), Selenica, P. (Pier), Brown, D. N. (David N.), Pareja, F. (Fresia), Lee, S. S. (Simon S. K.), Kumar, R. (Rahul), Rivera, B. (Barbara), Bi, R. (Rui), Piscuoglio, S. (Salvatore), Wen, H. Y. (Hannah Y.), Lozada, J. R. (John R.), Gularte-Merida, R. (Rodrigo), Cavallone, L. (Luca), Rezoug, Z. (Zoulikha), Nguyen-Dumont, T. (Tu), Peterlongo, P. (Paolo), Tondini, C. (Carlo), Terkelsen, T. (Thorkild), Ronlund, K. (Karina), Boonen, S. E. (Susanne E.), Mannerma, A. (Arto), Winqvist, R. (Robert), Janatova, M. (Marketa), Rajadurai, P. (Pathmanathan), Xia, B. (Bing), Norton, L. (Larry), Robson, M. E. (Mark E.), Ng, P.-S. (Pei-Sze), Looi, L.-M. (Lai-Meng), Southey, M. C. (Melissa C.), Weigelt, B. (Britta), Soo-Hwang, T. (Teo), Tischkowitz, M. (Marc), Foulkes, W. D. (William D.), Reis-Filho, J. S. (Jorge S.), Aghmesheh, M. (Morteza), Amor, D. (David), Andrews, L. (Leslie), Antill, Y. (Yoland), Balleine, R. (Rosemary), Beesley, J. (Jonathan), Blackburn, A. (Anneke), Bogwitz, M. (Michael), Brown, M. (Melissa), Burgess, M. (Matthew), Burke, J. (Jo), Butow, P. (Phyllis), Caldon, L. (Liz), Campbell, I. (Ian), Christian, A. (Alice), Clarke, C. (Christine), Cohen, P. (Paul), Crook, A. (Ashley), Cui, J. (James), Cummings, M. (Margaret), Dawson, S.-J. (Sarah-Jane), De Fazio, A. (Anna), Delatycki, M. (Martin), Dobrovic, A. (Alex), Dudding, T. (Tracy), Duijf, P. (Pascal), Edkins, E. (Edward), Edwards, S. (Stacey), Farshid, G. (Gelareh), Fellows, A. (Andrew), Field, M. (Michael), Flanagan, J. (James), Fong, P. (Peter), Forbes, J. (John), Forrest, L. (Laura), Fox, S. (Stephen), French, J. (Juliet), Friedlander, M. (Michael), Ortega, D. G. (David Gallego), Gattas, M. (Michael), Giles, G. (Graham), Gill, G. (Grantley), Gleeson, M. (Margaret), Greening, S. (Sian), Haan, E. (Eric), Harris, M. (Marion), Hayward, N. (Nick), Hickie, I. (Ian), Hopper, J. (John), Hunt, C. (Clare), James, P. (Paul), Jenkins, M. (Mark), Kefford, R. (Rick), Kentwell, M. (Maira), Kirk, J. (Judy), Kollias, J. (James), Lakhani, S. (Sunil), Lindeman, G. (Geoff), Lipton, L. (Lara), Lobb, L. (Lizz), Lok, S. (Sheau), Macrea, F. (Finlay), Mane, G. (Graham), Marsh, D. (Deb), Mclachlan, S.-A. (Sue-Anne), Meiser, B. (Bettina), Milne, R. (Roger), Nightingale, S. (Sophie), O'Connell, S. (Shona), Pachter, N. (Nick), Patterson, B. (Briony), Phillips, K. (Kelly), Saleh, M. (Mona), Salisbury, E. (Elizabeth), Saunders, C. (Christobel), Saunus, J. (Jodi), Scott, C. (Clare), Scott, R. (Rodney), Sexton, A. (Adrienne), Shelling, A. (Andrew), Simpson, P. (Peter), Spigelman, A. (Allan), Spurdle, M. (Mandy), Stone, J. (Jennifer), Taylor, J. (Jessica), Thorne, H. (Heather), Trainer, A. (Alison), Trench, G. (Georgia), Tucker, K. (Kathy), Visvader, J. (Jane), Walker, L. (Logan), Wallis, M. (Mathew), Williams, R. (Rachael), Winship, I. (Ingrid), Wu, K. (Kathy), Young, M. A. (Mary Anne), Li, Anqi, Geyer, Felipe C, Blecua, Pedro, Lee, Ju Youn, Duijf, Pascal, Reis-Filho, Jorge S, Li, Anqi [0000-0003-1409-1858], Kumar, Rahul [0000-0002-6927-5390], Rivera, Barbara [0000-0001-9434-6288], Piscuoglio, Salvatore [0000-0003-2686-2939], Lozada, John R. [0000-0001-8953-4110], Gularte-Mérida, Rodrigo [0000-0002-4383-2523], Peterlongo, Paolo [0000-0001-6951-6855], Robson, Mark E. [0000-0002-3109-1692], Looi, Lai-Meng [0000-0001-8325-0117], Foulkes, William D. [0000-0001-7427-4651], Apollo - University of Cambridge Repository, Lozada, John R [0000-0001-8953-4110], Robson, Mark E [0000-0002-3109-1692], and Foulkes, William D [0000-0001-7427-4651]

Subjects
0301 basic medicine, IMPACT, DNA repair, PALB2, gene frequency, lcsh:RC254-282, RECOMMENDATIONS, Germline, Article, Loss of heterozygosity, 03 medical and health sciences, 0302 clinical medicine, Germline mutation, breast cancer, Breast cancer, 631/67/68, MUTATIONAL PROCESSES, Cancer genomics, Medicine, Pharmacology (medical), Radiology, Nuclear Medicine and imaging, Allele, AMERICAN SOCIETY, Cancer genetics, Genetics, Science & Technology, Massive parallel sequencing, LANDSCAPE, business.industry, 631/67/1347, lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens, 692/699/67/69, BRCA2, GENE, 3. Good health, 030104 developmental biology, Oncology, gene inactivation, 030220 oncology & carcinogenesis, kConFab Investigators, Homologous recombination, business, Life Sciences & Biomedicine, CLINICAL ONCOLOGY/COLLEGE
Abstract

Mono-allelic germline pathogenic variants in the Partner And Localizer of BRCA2 (PALB2) gene predispose to a high-risk of breast cancer development, consistent with the role of PALB2 in homologous recombination (HR) DNA repair. Here, we sought to define the repertoire of somatic genetic alterations in PALB2-associated breast cancers (BCs), and whether PALB2-associated BCs display bi-allelic inactivation of PALB2 and/or genomic features of HR-deficiency (HRD). Twenty-four breast cancer patients with pathogenic PALB2 germline mutations were analyzed by whole-exome sequencing (WES, n = 16) or targeted capture massively parallel sequencing (410 cancer genes, n = 8). Somatic genetic alterations, loss of heterozygosity (LOH) of the PALB2 wild-type allele, large-scale state transitions (LSTs) and mutational signatures were defined. PALB2-associated BCs were found to be heterogeneous at the genetic level, with PIK3CA (29%), PALB2 (21%), TP53 (21%), and NOTCH3 (17%) being the genes most frequently affected by somatic mutations. Bi-allelic PALB2 inactivation was found in 16 of the 24 cases (67%), either through LOH (n = 11) or second somatic mutations (n = 5) of the wild-type allele. High LST scores were found in all 12 PALB2-associated BCs with bi-allelic PALB2 inactivation sequenced by WES, of which eight displayed the HRD-related mutational signature 3. In addition, bi-allelic inactivation of PALB2 was significantly associated with high LST scores. Our findings suggest that the identification of bi-allelic PALB2 inactivation in PALB2-associated BCs is required for the personalization of HR-directed therapies, such as platinum salts and/or PARP inhibitors, as the vast majority of PALB2-associated BCs without PALB2 bi-allelic inactivation lack genomic features of HRD.

Published
2019
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14. Long-distance migratory shorebirds travel faster towards their breeding grounds, but fly faster post-breeding

Author

Duijns, S. (Sjoerd), Anderson, A.M. (Alexandra M.), Aubry, Y. (Yves), Dey, A. (Amanda), Flemming, S.A. (Scott A.), Francis, C.M. (Charles M.), Friis, C. (Christian), Gratto-Trevor, C. (Cheri), Hamilton, D.J. (Diana J.), Holberton, R. (Rebecca), Koch, S. (Stephanie), McKellar, A.E. (Ann E.), Mizrahi, D. (David), Morrissey, C.A. (Christy A.), Neima, S.G. (Sarah G.), Newstead, D. (David), Niles, L. (Larry), Nol, E. (Erica), Paquet, J. (Julie), Rausch, J. (Jennie), Tudor, L. (Lindsay), Turcotte, Y. (Yves), Smith, P.A. (Paul A.), Duijns, S. (Sjoerd), Anderson, A.M. (Alexandra M.), Aubry, Y. (Yves), Dey, A. (Amanda), Flemming, S.A. (Scott A.), Francis, C.M. (Charles M.), Friis, C. (Christian), Gratto-Trevor, C. (Cheri), Hamilton, D.J. (Diana J.), Holberton, R. (Rebecca), Koch, S. (Stephanie), McKellar, A.E. (Ann E.), Mizrahi, D. (David), Morrissey, C.A. (Christy A.), Neima, S.G. (Sarah G.), Newstead, D. (David), Niles, L. (Larry), Nol, E. (Erica), Paquet, J. (Julie), Rausch, J. (Jennie), Tudor, L. (Lindsay), Turcotte, Y. (Yves), and Smith, P.A. (Paul A.)

Abstract

Long-distance migrants are assumed to be more time-limited during the pre-breeding season compared to the post-breeding season. Although breeding-related time constraints may be absent post-breeding, additional factors such as predation risk could lead to time constraints that were previously underestimated. By using an automated radio telemetry system, we compared pre- and post-breeding movements of long-distance migrant shorebirds on a continent-wide scale. From 2014 to 2016, we deployed radio transmitters on 1,937 individuals of 4 shorebird species at 13 sites distributed across North America. Following theoretical predictions, all species migrated faster during the pre-breeding season, compared to the post-breeding season. These differences in migration speed between seasons were attributable primarily to longer stopover durations in the post-breeding season. In contrast, and counter to our expectations, all species had higher airspeeds during the post-breeding season, even after accounting for seasonal differences in wind. Arriving at the breeding grounds in good body condition is beneficial for survival and reproductive success and this energetic constraint might explain why airspeeds are not maximised in the pre-breeding season. We show that the higher airspeeds in the post-breeding season precede a wave of avian predators, which could suggest that migrant shorebirds show predation-minimizing behaviour during the post-breeding season. Our results reaffirm the important role of time constraints during northward migration and suggest that both energy and predation-risk constrain migratory behaviour during the post-breeding season.

Published
2019
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16. A Strategy Conversation on the Topic of Organization Identity

Author

Barney, Jay B., primary, Bunderson, J. Stuart, additional, Foreman, Peter, additional, Gustafson, Loren T., additional, Huff, Anne S., additional, Martins, Luis L., additional, Reger, Rhonda K., additional, Sarason, Yolanda, additional, and Stimpert, J. L. “Larry”, additional

Published
1998
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21. Investigation of Warm Season Convective Cloud and Precipitation Properties through the Integrative Analysis of Aircraft In-situ Measurements, Ground-based Observations, and WRF Simulations

Author

Xi, Baike, Zeng, Xubin, Winter, C. L. Larry, McFarquhar, Greg M., Hazenberg, Pieter, Wang, Jingyu, Xi, Baike, Zeng, Xubin, Winter, C. L. Larry, McFarquhar, Greg M., Hazenberg, Pieter, and Wang, Jingyu

Abstract

Mesoscale convective systems (MCSs) can be separated into a precipitation portion which includes convective rain (CR) and stratiform rain (SR) and a non-precipitation canopy portion, the former dominates much of warm season (April - September) intense rainfall over the mid-latitudes, while the latter plays a significant role in the atmospheric radiation budget due to the its extensive spatial coverage. The convective rain (≥5 mm hr-1) portion features the most intense rainfall rate compared to the long-lasting stratiform rain (<5 mm hr-1) portion with large area coverage, which strongly corresponds to the high flood risk level. In order to improve the understanding of cloud-precipitation microphysical properties and their interactions for the cloud-resolving model, the Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) conducted a field campaign in a collaborative effort with NASA’s Global Precipitation Measurement (GPM) mission Ground Validation (GV) program, the Midlatitude Continental Convective Clouds Experiment (MC3E), at the ARM Southern Great Plains (SGP, 36° 36' 18" N, 97° 29' 6" W) site from April to June 2011. During the MC3E field campaign, the University of North Dakota (UND) Citation II research aircraft carried out the major in situ measurements of cloud microphysical properties. By separating the MCSs into ice-phase layer and liquid-phase layer, this study investigates microphysical properties at each layer using the measurements collected by UND Citation II aircraft. For ice-phase layer, the focus is on the correction of cloud ice water content (IWC) and the reconstruction of particle size distribution (PSD) based on multiple sensors measurements. For liquid-phase layer, this study concentrates on the better parameterization of raindrop size distribution (DSD) and its application in radar-based rain rate retrieval. In addition to the investigation of MCSs’ microphysical properties, another major part of this dissertation regards the l

Published
2018

22. Reacting or Responding to the Special Needs of Students.

Author

Korteweg, L. Larry

Abstract

Newly passed legislation and greater assertion of rights of minority groups have made the provision of special services to meet the needs of all students, specifically the advantaged and disadvantaged, a societal expectation in Canada. Although those needing special attention for any kind and number of exceptionalities has greatly increased, the present policies and present practices, despite newly passed more enlightened legislation, are still inadequate. To remedy the errors of past and present special education practices, action needs to be taken on several fronts--the ministries, the school boards, the teacher federations, and the faculties of education. Among the developments which need to be faced are greater interagency and interfaculty cooperation, more extensive training and education in special education for all teachers, and provision and delivery of adequate support personnel and services. (SB)

Published
1981

23. Renewable energy deployment at the interplay between support policies and fossil fuel subsidies

Author

Weishaar, Stefan E, Kreiser, Larry, Milne, Janet E, Ashiabor, Hope, Mehling, Michael, Weishaar, S E ( Stefan E ), Kreiser, L ( Larry ), Milne, J E ( Janet E ), Ashiabor, H ( Hope ), Mehling, M ( Michael ), Zahno, Martina; https://orcid.org/0000-0001-7484-8336, Castro Pareja, Paula Monica; https://orcid.org/0000-0002-5818-301X, Weishaar, Stefan E, Kreiser, Larry, Milne, Janet E, Ashiabor, Hope, Mehling, Michael, Weishaar, S E ( Stefan E ), Kreiser, L ( Larry ), Milne, J E ( Janet E ), Ashiabor, H ( Hope ), Mehling, M ( Michael ), Zahno, Martina; https://orcid.org/0000-0001-7484-8336, and Castro Pareja, Paula Monica; https://orcid.org/0000-0002-5818-301X

Published
2017

24. Computing equilibria in dynamic stochastic macro-models with heterogeneous agents

Author

Honoré, Bo, Pakes, Ariel, Piazzesi, Monika, Samuelson, Larry, Honoré, B ( Bo ), Pakes, A ( Ariel ), Piazzesi, M ( Monika ), Samuelson, L ( Larry ), Brumm, Johannes, Kübler, Felix; https://orcid.org/0000-0002-9404-878X, Scheidegger, Simon, Honoré, Bo, Pakes, Ariel, Piazzesi, Monika, Samuelson, Larry, Honoré, B ( Bo ), Pakes, A ( Ariel ), Piazzesi, M ( Monika ), Samuelson, L ( Larry ), Brumm, Johannes, Kübler, Felix; https://orcid.org/0000-0002-9404-878X, and Scheidegger, Simon

Published
2017

25. Modeling Ion-Exchange for Cesium Removal from Alkaline Radioactive Waste Solutions

Author

Frank G. Smith, Sebastian E. Aleman, M. E. Johnson, and L. Larry Hamm

Subjects
chemistry, Ion exchange, Process Chemistry and Technology, General Chemical Engineering, Caesium, Radiochemistry, chemistry.chemical_element, Radioactive waste, Filtration and Separation, General Chemistry, Human decontamination
Abstract

The performance of spherical Resorcinol-Formaldehyde ion-exchange resin for treatment of radioactive waste solutions is investigated through computer modeling. Results show that ion-exchange is an efficient method for cesium removal from highly alkaline radioactive waste solutions. On average, two 1300 liter columns operating in series are able to treat 690,000 liters of waste with an initial cesium concentration of 0.09 mM in 11 days achieving a decontamination factor of over 50,000. The study investigated the sensitivity of ion-exchange column performance to variations in flow, temperature, and column dimensions. Modeling results can be used to optimize the design of the ion exchange system.

Published
2009
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27. Column Performance Testing of SuperLig® 639 Resin with Simulated Hanford Waste Supernates: Identification of the Primary Sorbing Species and Detailed Characterization of Their Desorption Profiles

Author

Sebastian E. Aleman, William D. King, Cheryl E. Duffey, William A. Spencer, L. Larry Hamm, and Myra A. Pettis

Subjects
Perrhenate, Sodium perrhenate, Process Chemistry and Technology, General Chemical Engineering, Potassium, Radiochemistry, chemistry.chemical_element, Filtration and Separation, Sorption, Potassium nitrate, General Chemistry, Rhenium, chemistry.chemical_compound, chemistry, Sodium nitrate, Desorption
Abstract

Several benchscale column tests (resin bed volume ≤75 mL) have been conducted with SuperLig® 639 resin and simulated U.S. Department of Energy tank waste supernates. Rhenium (surrogate for technetium in actual waste samples) breakthrough profiles were determined for three simulant compositions, which are representative of the basic waste categories requiring treatment in the Hanford River Protection Project Waste Treatment Plant. Considerable loading performance variability was observed between the three waste types, although the resin is effective at rhenium removal from each solution. Careful and frequent analysis during elution studies conducted at the conclusion of the column loading tests confirmed that sodium nitrate and sodium perrhenate ion pairs are primary sorbing species on SuperLig® 639 resin. Furthermore, it was discovered that potassium nitrate and potassium perrhenate salts are significant competitors for sorption sites on the resin. Successive desorption profiles were identified f...

Published
2005
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28. Technetium Removal from Hanford and Savannah River Site Actual Tank Waste Supernates with Superlig®639 Resin

Author

Neguib M. Hassan, D. J. McCabe, L. Larry Hamm, William King, and Michael E. Johnson

Subjects
Pertechnetate, Waste management, Chemistry, Hanford Site, Process Chemistry and Technology, General Chemical Engineering, Savannah River Site, Radioactive waste, chemistry.chemical_element, Filtration and Separation, General Chemistry, Technetium, chemistry.chemical_compound, Petrochemical, Nitrate, Waste treatment plant, Nuclear chemistry
Abstract

SuperLig(R) 639 elutable, organic resin has been selected for technetium (as pertechnetate ion) removal from Hanford Site radioactive waste samples as part of the River Protection Project - Waste Treatment Plant (RPP-WTP) design. In support of the RPP-WTP flow sheet development, column tests have been performed at the Savannah River Technology Center with SuperLig(R) 639 resin using actual Hanford Site tank waste samples. The resin was shown to be highly effective at pertechnetate removal from these caustic, high-sodium, aqueous waste samples. Pertechnetate ion was subsequently eluted from the columns with water. An additional column test conducted on a Savannah River Site waste sample revealed exceptional performance, presumably due to the fact that lower concentrations of competing anions (primarily nitrate) were present in the sample.

Published
2003
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29. SUPERLIG® 639 EQUILIBRIUM SORPTION DATA FOR TECHNETIUM FROM HANFORD TANK WASTE SUPERNATES

Author

William King, Michael E. Johnson, Neguib M. Hassan, D. J. McCabe, and L. Larry Hamm

Subjects
Pertechnetate, Hanford Site, General Chemical Engineering, chemistry.chemical_element, Sorption, Nitrate anion, General Chemistry, Technetium, Highly selective, chemistry.chemical_compound, chemistry, Contact method, Ion-exchange resin, Nuclear chemistry
Abstract

SuperLig® 639 ion exchange resin is currently being evaluated for technetium (99Tc) removal from radioactive Hanford tank wastes. To assess the performance of the resin in column configuration, a multiple batch contact method was used to determine the equilibrium distribution coefficients (Kd values) and percent removal for technetium (as pertechnetate, TcO4 −) from highly alkaline waste solutions obtained from the Hanford Site. The Kd values for Hanford tank wastes AN-103, AZ-102, and AN-102 were 530, 886, and 287 mL/g, respectively. The TcO4 −Kd values for the AN-102 mixed with AN-103 after 4 hours and 14 days were 456 and 392 mL/g, respectively. The percent removal of technetium as TcO4 −anion from three Hanford tank solutions (AN-103, AZ-102, and AN-102) was higher than 80%, which is required for Hanford waste pretreatment flowsheet. The results indicate that SuperLig® 639 resin is highly selective for pertechnetate in the presence of relatively high concentrations of nitrate anion.

Published
2002
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30. [Untitled]

Author

M. E. Johnson, Neguib M. Hassan, William King, L. Larry Hamm, and D. J. McCabe

Subjects
Chromatography, Ion exchange, Elution, Health, Toxicology and Mutagenesis, Radiochemistry, Public Health, Environmental and Occupational Health, chemistry.chemical_element, Uranium, Pretreatment method, Pollution, Analytical Chemistry, Nuclear Energy and Engineering, chemistry, Caesium, Radiology, Nuclear Medicine and imaging, Ion-exchange resin, Spectroscopy
Abstract

SuperLigO 644 ion exchange resin is currently being evaluated for cesium (137Cs) removal from radioactive Hanford tank waste supernates as part of the River Protection Project. Testing was performed with actual Hanford tank wastes of widely different compositions using two identical ion exchange columns connected in series each containing approximately 5.5-6.5 ml of SuperLigŇ 644 resin. The ion exchange columns utilized the same resin material that was eluted between the column tests. This was done to demonstrate the performance of the SuperLigŇ 644 resin for cesium removal from waste samples of different compositions, determine the loading and elution profiles, and to validate design assumptions for full-scale column performances. Decontaminated product solutions generated at the same operating temperature and constant residence times (bed volumes per hour) exhibited the same chemical compositions as their feed samples. The compositions of eluate solutions were generally as expected with the exception of uranium and total organic carbon, which where concentrated by the resin. Development of a pretreatment method for the SuperLigŇ 644 resin has been critical to successful column operation with different waste solutions.

Published
2002
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31. [Untitled]

Author

D. J. McCabe, William King, L. Larry Hamm, M. E. Johnson, and Neguib M. Hassan

Subjects
Hanford Site, Health, Toxicology and Mutagenesis, Potassium, Sodium, Radiochemistry, Public Health, Environmental and Occupational Health, chemistry.chemical_element, Sorption, Pollution, Analytical Chemistry, Adsorption, Nuclear Energy and Engineering, chemistry, Caesium, Radiology, Nuclear Medicine and imaging, Freundlich equation, Ion-exchange resin, Spectroscopy
Abstract

SuperLigŇ 644 ion exchange resin is currently being evaluated for cesium (137Cs) removal from radioactive Hanford tank wastes. To assess the performace of the resin in column configuration, a multiple batch contact method was used to determine the equilibrium distribution coefficients (Kd) and percent removal for 137Cs from highly alkaline waste solutions obtained from the Hanford Site. The equilibrium loading data were interpreted in terms of Freundlich and Dublin-Radushkevics (D-R) isotherms. The equations fit the experimental data remarkably well considering the complexity of the Hanford tank waste compositions. The mean energy of adsorption and total resin capacity were calculated. The mean free energy for adsorption of cesium from Hanford tanks was ~9 kJ/mol. The total exchange capacity of the SuperLigŇ 644 resin ranged from 0.72 to 3.46 mmole/g resin, depending on the Hanford tank composition. The Kd results reveal that SuperLigŇ 644 resin in highly selective for cesium in the presence of relatively high concentrations of sodium and potassium salts.

Published
2002
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33. Data fusion modeling for groundwater systems

Author

Walter F. Jones, Gregory P. Flach, Bruce P. Gibbs, L. Larry Hamm, Peter S. Huyakorn, and David W. Porter

Subjects
Data assimilation, Computer science, System identification, Environmental Chemistry, Statistical model, Kalman filter, Markov model, Sensor fusion, Missing data, Algorithm, Simulation, Water Science and Technology, Design for manufacturability
Abstract

Engineering projects involving hydrogeology are faced with uncertainties because the earth is heterogeneous, and typical data sets are fragmented and disparate. In theory, predictions provided by computer simulations using calibrated models constrained by geological boundaries provide answers to support management decisions, and geostatistical methods quantify safety margins. In practice, current methods are limited by the data types and models that can be included, computational demands, or simplifying assumptions. Data Fusion Modeling (DFM) removes many of the limitations and is capable of providing data integration and model calibration with quantified uncertainty for a variety of hydrological, geological, and geophysical data types and models. The benefits of DFM for waste management, water supply, and geotechnical applications are savings in time and cost through the ability to produce visual models that fill in missing data and predictive numerical models to aid management optimization. DFM has the ability to update field-scale models in real time using PC or workstation systems and is ideally suited for parallel processing implementation. DFM is a spatial state estimation and system identification methodology that uses three sources of information: measured data, physical laws, and statistical models for uncertainty in spatial heterogeneities. What is new in DFM is the solution of the causality problem in the data assimilation Kalman filter methods to achieve computational practicality. The Kalman filter is generalized by introducing information filter methods due to Bierman coupled with a Markov random field representation for spatial variation. A Bayesian penalty function is implemented with Gauss–Newton methods. This leads to a computational problem similar to numerical simulation of the partial differential equations (PDEs) of groundwater. In fact, extensions of PDE solver ideas to break down computations over space form the computational heart of DFM. State estimates and uncertainties can be computed for heterogeneous hydraulic conductivity fields in multiple geological layers from the usually sparse hydraulic conductivity data and the often more plentiful head data. Further, a system identification theory has been derived based on statistical likelihood principles. A maximum likelihood theory is provided to estimate statistical parameters such as Markov model parameters that determine the geostatistical variogram. Field-scale application of DFM at the DOE Savannah River Site is presented and compared with manual calibration. DFM calibration runs converge in less than 1 h on a Pentium Pro PC for a 3D model with more than 15,000 nodes. Run time is approximately linear with the number of nodes. Furthermore, conditional simulation is used to quantify the statistical variability in model predictions such as contaminant breakthrough curves.

Published
2000
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35. The NMC Horizon Report: 2012 Higher Education Edition

Author

Johnson, L. (Larry), Adams, S. (Samantha), Cummins, M., New Media Consortium, and EDUCAUSE

Subjects
Tecnologías de la Información y la comunicación, TIC, Information Techonologies, Prospectiva Tecnológica, Educación Superior, Higher Education, Technological Prospective
Abstract

42 p., Libro Electrónico, The internationally recognized "NMC Horizon Report" series and regional "NMC Technology Outlooks" are part of the NMC Horizon Project, a comprehensive research venture established in 2002 that identifies and describes emerging technologies likely to have a large impact over the coming five years in education around the globe. This volume, the "NMC Horizon Report: 2012 Higher Education Edition," was again produced in a collaborative effort with the EDUCAUSE Learning Initiative, an EDUCAUSE Program, and examines emerging technologies for their potential impact on teaching, learning, and creative inquiry within the higher education environment. The six technologies featured in the "NMC Horizon Report: 2012 Higher Education Edition" are placed along three adoption horizons that indicate likely timeframes for their entrance into mainstream use for teaching, learning, and creative inquiry. The near-term horizon assumes the likelihood of entry into the mainstream for higher education institutions within the next twelve months; the mid-term horizon, within two to three years; and the far-term, within four to five years. On the near-term horizon--that is, within the next 12 months--are "mobile apps" and "tablets". The second adoption horizon, two to three years out, is where individuals will begin to see widespread adoptions of two technologies that are experiencing growing interest within higher education: "game-based learning" and "learning analytics". On the far-term horizon, set at four to five years away from widespread adoption, are "gesture-based computing" and the "Internet of Things." Each of these technologies is described in detail in the main body of the report, where a discussion of what the technology is and why it is relevant to teaching, learning, or creative inquiry may also be found. Given the practical focus of the report, a listing of examples of the technology in use, especially in higher education, is a key component of each of the six main topics. The authors' research indicates that all six of these technologies, taken together, will have a significant impact on learning-focused organizations within the next five years. [For "The 2011 Horizon Report," see ED515956., Executive Summary 3 Time-to-Adoption Horizon: One Year or Less > Mobile Apps 10 > Tablet Computing 14 Time-to-Adoption Horizon: Two to Three Years > Game-Based Learning 18 > Learning Analytics 22 Time-to-Adoption Horizon: Four to Five Years > Gesture-Based Computing 26 > Internet of Things 30 Methodology 34 The NMC Horizon Project: 2012 Higher Education Advisory Board 36

Published
2012

36. Abstracts from the sixth meeting of the international association of pancreatology, November 2–4, 1994, Chicago, IL

Author

Michael Burdick, Tony Hollingsworth, S. Gansauge, F. Gansauge, K. H. Link, M. H. Schoenberg, B. Poch, H. G. Beger, A. C. C. Wagner, H. Steffen, B. Göke, H. Y. Gaisano, L. Sheu, J. K. Foskett, W. S. Trimble, Y. L. Lee, H. Y. Kwon, H. S. Park, S. M. Lee, H. J. Park, S. aguchi, G. M. Green, K. Mitamura, Y. Komatsu, I. Arai, H. Yamaura, OJ Wang, TE Adrian, S. Teyssen, W. Niebel, E. Niebergall, M. V. Singer, K Umehara, T Ohara, K Kataoka, H Okamura, M Kato, J Sakagami, A Ohta, M Murase, M Hosoda, Y Yamane, K Kashima, Y Ibata, Emil J. Balthazar, P. A. Banks, S. G. Garzof, R. E. Langevin, S. G. Silverman, G. T. Sica, C. Bassi, A. Benini, A. Muner, M. Falconi, H. Abbas, P. Pederzoli, R. Salvia, E. Bertazzoni Minelli, S. Shanmuga Shaskar, M. G. Shearer, C. W. Imrie, G. J. Brodmerkel, P. A. Reed, DL Carr-Locke, A Musa, DR Lichtenstein, J Van Dam, PA Banks, S. Eisele, M. Böchjer, Th. Foitzik, C. Fern’andez-del Castillo, D. W. Rattner, M. J. Ferraro, A. L. Warshaw, J. Schmidt, H. Hotz, H. J. Buhr, E. Klar, A. Heinisch, R. Kadow, U. Bioss, J. Schölmerich, H. Zimgibl, H. -G. Leser, G. Manes, P. G. Rabitti, M. Laccetti, A. Cavallera, L. Paceili, G. Gagiione, G. Uomo, A. Marinqhini, A. R. Zinsmeister, L. J. Melton, E. P. DiMagno, F. Marotta, D. H. Chui, G. Barbi, G. G. Zhong, H. Tajiri, O. Bellini, C McKay, J. N. Baxter, K. Mithöfer, C. Fern’andez-delCastillo, T. W. Frick, K. Lewandrowski, R. Pezzilli, P. Billi, R. Miniero, L. Gullo, B. Barakat, M. Migliuli, B. Rau, M. Schad, M. Schoenberg, F. Richter, R. Matthias, M Imoto, T Ashihara, D Schofield, NM Sharer, KM Heywood, HM Waters, JM Braganza, P Scott, D Bilton, D Deardon, S Lee, PM Taylor, RF McCloy, J. Shen, H. Shao, Z. P. Wu, J. J. Jin, N Shiel, O Cassidy, H Sharma, J. M. Braganza, F. Soöckmann, J. Ahrens, U. Leonhardt, J. Otto, U. Ritzel, G. Ramadori, Fuzhou Tian, JZ Hu, DR Huang, XH Wang, HW Lian, BY Zhang, JG Miao, Xu Li, HT Zhou, P. Esposico, F. Perrocti, M. Visconci, M. I. Vaccaro, M. A. Dagrosa, M. I. Mora, D. O. Sordelli, W. Vogt, H. MeOmann, A. Linseis, A. Holstege, M. R. Weiser, S. A. L. Gibbs, H. B. Hechcman, F. D. Moore, H. V. Worthington, L. P. Runt, R. F. HcCloy, I. A. KacLennan, J. M. Braqanza, D Heath, D Alexander, C Wilson, M Larvin, CW Imrie, MJ McMahon, J Ward, PJ Robinson, AG Chalmers, M Apte, J Wilson, G McCaughan, M Korsten, I Norton, R Piroia, D. Bimmler, G. A. Scheele, Dale E. Bockman, Markus Büchler, Hans G. Beger, G. Cavallini, M. P. Brunori, L. Rigo, P. Bovo, M. Filippini, B. Vaona, V. Di Francesco, L. Frulloni, M. Marcori, P. C. Farri, M. T. Laardini, Riaz Chowdhury, Koji Ochi, Takaaki Mizushima, Tetsuya Tsurumi, Hideo Harada, P. Laver, J. J. Hoist, M. v. d. Ohe, H. Goebell, A. Mi Zumoto, M. G. Sarr, R. Moore, C. F. Frey, H. T. Debas, S. J. Mulvihill, S. Onizuka, H. Kuroda, Y. Kuroda, H. Hongo, S. Matsuzaki, M. Ito, L. Sekine, T. Tsunoda, ’A. Pap, V. Hrisztov, E. Marosi, K. Simon, T. Tak’acs, A. Bonora, G. Talamini, R. Saivia, L. Benini, E. Caldiron, S. Vesentini, Isaac Raijman, Paul Kortan, Gregory B. Haber, H Ramesh, CJ Varghese, PM Kay, T Bottiglieri, S Uden, A Gut, I Segal, C Snehalatha, V Mohan, E. Silva, R. Ceneviva, M. A. L. Velludo, E. Silvan, B. Ruebner, J. E. S. Roselino, M. C. Foss, G. Talaraini, M. Falcaoi, L Frmlltai, V. K Fraacesca, M. Maxwi, B. Vaosa, P. Baro, C. Baxu, P. Pedercoli, G. Cavalliai, G. Taiamini, C. Iacano, M. Faicsai, L. Rige, A. Castagnisi, G. Angelini, P. Bom, B. Vaoss, I. Vantini, G. Sen, P. Pederzali, B Štimee, M Bulajič, T Milosavljevi’c, R Krsti’c, M Markovi’c, V Korneti, M Ugljcš’c, IL Abruzzesse, DB Evans, L Larry, T King, I Raijman, L Roubein, M Frazier, C. lacono, E. Faca, G. Falezza, E. Bonora, PP Aurola, G. Serio, N. Nicoli, G. C. Mansueto, M. Zicari, L. Marchiori, G. Mangiante, G. Seno, M. Imarnura, H. Yamauchi, M. Inoue, M. Onda, E. UchlDa, T. Almqtq, Y. Yamanaka, T. Kqbayashi, T. Yokqyama, K. Aida, K. Sasajima, T. Tajiri, K. Egami, K. Yamashita, Z. Naitq, G. Asano, K. B. Lewandrowski, R. E. Kirby, J. F. Southern, C. C. Compton, J Lip, L Strömmer, J Permert, J Larsson, E. V. Loftus, M. C. Adkins, B. Olivares-Pakzad, K. P. Batts, D. H. Stephens, M. B. Farnell, H. G. Sarr, G. B. Thompson, J. A. van Heerden, D. G. Kelly, L. J. Miller, R. K. Pearson, J. E. Clain, B. T. Petersen, Cancer S. Matsumoto, R. Chowdhury, T. Mizushima, K. Ochi, H. Harada, H. Miki, Hnsan Ozkan, Hiromitsu Saisho, Taketo Yarnaguchi, Takeshi Ishihara, Yasuharu Kikuchi, Toshio Tsuyuguchi, Masao Ohto, C. Pasqual, C. Sperti, G. Liesai, M. Guido, S. Pedrazzoli, C. Pasquali, E. Khajeturian, P. Guolo, H. Tadokoro, S. Watanabe, Y. Moriyoshi, K. Yoshida, K. Shiratori, T. Takeuchi, E. Uchida, T. Kobayashi, T. Aimoto, T. Yokoyama, Z. Naito, M. A. Valentich, B. Monis, N. N. Barotto, and P. Herrera

Subjects
medicine.medical_specialty, Endocrinology, Oncology, business.industry, Family medicine, Gastroenterology, medicine, business
Published
1994
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39. Neutrophil interactions with keratocytes during corneal epithelial wound healing: a role for CD18 integrins

Author

M. Petrescu, Zhijie Li, Debjani Gagen, George W. Williams, C. Wayne Smith, Robert A. Bowden, Alan R. Burns, and Chonna L. Larry

Subjects
Neutrophils, Corneal Stroma, Integrin, CD18, Wounds, Nonpenetrating, Interstitial cell, Article, Extracellular matrix, Mice, Eye Injuries, Stroma, Cell Migration Assays, Leukocyte, Cornea, Leukocyte Trafficking, medicine, Animals, Wound Healing, biology, Chemistry, Epithelium, Corneal, Fibroblasts, eye diseases, Cell biology, Mice, Inbred C57BL, Disease Models, Animal, medicine.anatomical_structure, Neutrophil Infiltration, CD18 Antigens, Immunology, biology.protein, sense organs, Collagen, Wound healing
Abstract

The high incidence of direct corneal injury and increased availability of corrective refractive surgery (e.g., LASIK, PRK), with its accompanying corneal complications, have made clear the need for a better understanding of the intimate events that occur during corneal wound healing.1 Recently, our laboratory reported that neutrophils (PMNs) enter the corneal stroma shortly after epithelial scrape injury, and their presence appears to facilitate wound closure.2 PMN transendothelial migration requires the leukocyte β2 integrin CD18. In injured corneas of CD18−/− mice, both PMN extravasation and wound closure are delayed by 24 hours and 6 hours, respectively.2 Although the precise mechanisms underlying PMN migration in the corneal stroma are poorly understood, it has been suggested that PMN migration within extravascular tissue (i.e., interstitium) is facilitated by integrin-dependent adhesive contacts with the structural elements of the extracellular matrix (e.g., collagen).3 However, migrating PMNs also develop adhesive contacts with resident interstitial cells.4 In the corneal stroma, the primary interstitial cell is the keratocyte, and each keratocyte joins with a neighboring keratocyte to form a cellular network.5 Keratocyte networks lie between the orthogonally arranged collagen layers, extending from limbus to limbus. Our preliminary observations suggested that in response to epithelial scrape injury, migrating PMNs develop close surface contacts with keratocytes,6 raising the possibility that keratocyte networks provide a contact guidance mechanism for PMNs migrating into the injured cornea, functioning as a “cellular highway” during leukocyte trafficking. The purpose of the present study was to use a mouse model of corneal epithelial abrasion to obtain quantitative data on PMN interactions with structural matrix elements (collagen) and resident interstitial cells (keratocytes) during wound healing. In addition, we wanted to examine the “extravascular” role of the leukocyte β2 integrin (CD18) in PMN contacts with collagen and keratocytes. Our results document for the first time that migrating PMNs make extensive surface contacts with keratocytes and that this heterotypic cell interaction requires CD18 integrins.

Published
2007

40. Immunocastration in stallions: effect on spermatogenesis and behaviour

Author

F, Clement, M, Vidament, P, Daels, F, van der Meer, J L, Larry, B, Colenbrander, and J, Turkstra

Subjects
Gonadotropin-Releasing Hormone, Male, Sexual Behavior, Animal, Vaccines, Testis, Vaccination, Animals, Testosterone, Horses, Spermatogenesis, Orchiectomy
Published
2005

44. Experimental Investigation of Contact Resistance Across Pressed Lead and Aluminum Contact in Vacuum

Author

Curtis A. Rhodes, Allen C. Smith, Jamil A. Khan, L. Larry Hamm, and Xiao Ma

Subjects
Materials science, chemistry, Electrical resistance and conductance, Aluminium, Contact resistance, Surface roughness, chemistry.chemical_element, Energy transformation, Composite material, Lead (electronics), External pressure
Abstract

In a proposed nuclear application (production of Tritium using an accelerator, Accelerator Production of Tritium (APT)) lead is proposed to be used as a shield in the blanket module. This lead will be encased in aluminum cladding. The energy transfer rate from the lead to the cooling water will be a function of the thermal contact resistance (TCR) between lead and aluminum. Presently, data for contact resistance for this application does not exists in the literature. An experimental investigation has been conducted to determine the thermal contact resistance between lead and aluminum in vacuum. In this study we investigate the effect of pressure, surface roughness and interface temperature on the contact resistance. The experimentally determined range of contact resistance was found to be from 3.74×10−4K-m2/W to 11.45×10−4K-m2/W at 100°C∼200°C under 120∼370psi (0.827∼2.551MPa). The contact resistance increases to 168×10−4K-m2/W at small external pressure of 2.0∼3.9psi (0.013∼0.027MPa). The contact resistance decreases with increasing in contact pressure. Interface temperature and surface roughness do not affect the contact resistance significantly. There is a slight increase in contact conductance with increasing temperature. The experimental results provide contact resistance data, which should be a good reference for the APT design evaluation.

Published
2000
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45. Neuromorphic systems

Author

Squires, Larry, Squires, L ( Larry ), Indiveri, G, Liu, S C, Delbruck, T, Douglas, R, Squires, Larry, Squires, L ( Larry ), Indiveri, G, Liu, S C, Delbruck, T, and Douglas, R

Abstract

Neuromorphic engineering is an emerging field of research that lies at the interface between computer engineering and neuroscience. In this chapter we present a historical perspective of the field, explain its significance, and describe examples of neuromorphic electronic circuits that emulate the neural functions necessary to explore principles of communication and computation in nervous systems.

Published
2008

46. p53 immunohistochemical staining predicts residual disease after chemoradiation in patients with high-risk rectal cancer

Author

F R, Spitz, G G, Giacco, K, Hess, L, Larry, T A, Rich, N, Janjan, K R, Cleary, and J M, Skibber

Subjects
Adult, Male, Risk, Antimetabolites, Antineoplastic, Neoplasm, Residual, Biopsy, Immunoenzyme Techniques, Predictive Value of Tests, Preoperative Care, Biomarkers, Tumor, Humans, Aged, Retrospective Studies, Aged, 80 and over, Rectal Neoplasms, Remission Induction, Cell Differentiation, Middle Aged, Combined Modality Therapy, Neoplasm Proteins, Chemotherapy, Adjuvant, Lymphatic Metastasis, Female, Radiotherapy, Adjuvant, Fluorouracil, Tumor Suppressor Protein p53
Abstract

This study was conducted to investigate the value of p53 immunohistochemical staining of pretreatment biopsy specimens in predicting the response of rectal cancer to chemoradiation. The study group comprised 42 patients with high-risk rectal cancer treated between July 1990 and July 1995 with a preoperative chemoradiation regimen of 45 Gy of external-beam irradiation and continuous-infusion 5-fluorouracil followed by surgical resection. p53 immunohistochemical staining was performed on pretreatment biopsy specimens. p53 immunohistochemical staining pattern and standard clinical and pathological parameters were correlated with extent of residual cancer in the surgical specimen. Twenty tumors were positive for p53 on immunohistochemical staining, 19 were negative, and 3 were focally positive. Thirteen patients experienced a complete response to chemoradiation. Aberrant p53 protein accumulation, as measured by immunohistochemical staining, correlated inversely with a complete pathological response to chemoradiation (P = 0.005; correlation coefficient = -0.43) and directly with an increased likelihood of residual cancer in the lymph nodes of surgical specimens (P = 0.02; correlation coefficient = 0.39). p53 immunohistochemical staining of pretreatment biopsy specimens correlates with the extent of residual disease after chemoradiation in patients with high-risk rectal cancer.

Published
1998

47. Conductometric sensors based on the hypersensitive response of plasticized polyaniline films to organic vapors

Author

Svetličić, Vesna, Schmidt, J. Andrew, and Miller, L. Larry

Subjects
conductometric sensors, phase transformation in polyaniline film, polymer organic films
Abstract

It has been demonstrated that polar organic vapors cause large increases in the conductivity of these PANI films, that these changes involve crystalization, and that these changes can be used for oneshot vapor differentiation and ethanol quantitation. The low cost of PANI makes this analytical approach of some interest.

Published
1998

48. A Strategy Conversation on the Topic of Organization Identity

Author

J. Stuart Bunderson, Rhonda K. Reger, Jay B. Barney, J. L. 'Larry' Stimpert, Yolanda Sarason, Peter Foreman, Anne Sigismund Huff, Loren T. Gustafson, and Luis L. Martins

Subjects
business.industry, media_common.quotation_subject, Political science, Media studies, Identity (social science), Conversation, Public relations, business, media_common
Published
1998
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50. Detection of mutated c-Ki-ras in the bile of patients with pancreatic cancer

Author

J L, Abbruzzese, D B, Evans, I, Raijman, L, Larry, T, King, S D, Leach, and M L, Frazier

Subjects
Pancreatic Neoplasms, Genes, ras, Mutation, Tumor Cells, Cultured, Bile, Humans, DNA, Neoplasm
Abstract

Because treatment of advanced pancreatic cancer is often unsuccessful, early detection is important. Codon 12 c-Ki-ras mutations have been found in 80-90% of pancreatic cancer cases and are a potential early marker for pancreatic cancer, but obtaining tissue or fluid for analysis can be difficult. We therefore evaluated whether mutant c-Ki-ras could be detected in bile samples obtained from pancreatic cancer patients.DNA was isolated from bile specimens obtained from 20 patients with pancreatic cancer. The mutant-enriched PCR technique (ME-PCR) was used to amplify and detect point mutations at codon 12 of the c-Ki-ras oncogene.In 17 cases sufficient DNA for amplification was obtained; 14 had mutant c-Ki-ras alleles. Cytological evaluation of the bile was performed in 11 of these cases, but was positive in only two cases; both were positive for codon 12 c-Ki-ras mutations. Of the 9 cytologically negative biliary specimens, ME-PCR was positive in six.Codon 12 c-Ki-ras mutations can be successfully identified in PCR-amplified DNA from bile samples obtained from patients with advanced pancreatic cancer. This technique may supplement cytologic techniques for diagnosing pancreatic cancer and may be capable of identifying individuals at risk for this disease.

Published
1997

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