Author: "E. Kirsch" / Publisher: elsevier - Searchworks@Jio Institute Digital Library Search Results

13 results on '"E. Kirsch"'

1. Investigating the effect of polygenic background on epilepsy phenotype in ‘monogenic’ familiesResearch in context

Author: Karen L. Oliver, Ingrid E. Scheffer, Colin A. Ellis, Bronwyn E. Grinton, Samuel F. Berkovic, Melanie Bahlo, Zaid Afawi, Dina Amrom, Eva Andermann, Jocelyn F. Bautista, Susannah T. Bellows, Judith Bluvstein, Gregory D. Cascino, Seo-Kyung Chung, Patrick Cossette, Sarah W. Curtis, Norman Delanty, Orrin Devinsky, Dennis Dlugos, Michael P. Epstein, Catharine Freyer, Micheline Gravel, Rebekah V. Harris, Erin L. Heinzen, Olivia J. Henry, Heidi E. Kirsch, Robert C. Knowlton, Eric H. Kossoff, Rebecca Loeb, Daniel H. Lowenstein, Anthony G. Marson, Heather C. Mefford, Paul V. Motika, Terence J. O'Brien, Ruth Ottman, Juliann M. Paolicchi, Slave Petrovski, William O. Pickrell, Mark I. Rees, Lynette G. Sadleir, Jerry J. Shih, Rani K. Singh, Michael C. Smith, Philip E.M. Smith, Rhys H. Thomas, Judith Weisenberg, Peter Widdess-Walsh, and Melodie R. Winawer
Subjects: Epilepsy genetics, Familial epilepsies, Genetic modifiers, Polygenic risk, GEFS+, GABRG2, Medicine, Medicine (General), R5-920
Abstract: Summary: Background: Phenotypic variability within families with epilepsy is often observed, even when relatives share the same monogenic cause. We aimed to investigate whether common polygenic risk for epilepsy could explain the penetrance and phenotypic expression of rare pathogenic variants in familial epilepsies. Methods: We studied 58 clinically heterogeneous families with genetic epilepsy with febrile seizures plus (GEFS+). Relatives were coded as either unaffected or affected with epilepsy, and graded according to phenotype severity: no seizures, febrile seizures (FS) only, febrile seizures plus (FS+), generalised/focal epilepsy, or developmental and epileptic encephalopathy (DEE). Epilepsy polygenic risk scores (PRSs) were tested for association with epilepsy phenotype. Within families, the mean PRS difference was compared between pairs concordant versus discordant for phenotype severity. Statistical analyses were performed using mixed-effect regression models. Findings: 304 individuals segregating a known, or presumed, rare variant of large effect, were studied. Within families, higher epilepsy polygenic risk was associated with an epilepsy diagnosis (OR = 1.39, 95% CI 1.08, 1.80, padj = 0.040). Relatives with a more severe phenotype had a mean pairwise PRS difference of +0.19 higher than relatives with a milder phenotype (padj = 0.010). The difference increased with greater phenotype discordance between relatives. As the cohort included two rare variants with >30 relatives each, variant-specific genotype–phenotype associations could also be analysed. Whilst the epilepsy PRS effect was strong for relatives segregating the GABRG2 p.Arg82Gln pathogenic variant (padj = 0.0010), the effect was not significant for SCN1B p.Cys121Trp. Interpretation: We provide support for genetic background modifying the penetrance and phenotypic expression of rare variants associated with ‘monogenic’ epilepsies. In GEFS+ families, relatives with higher epilepsy PRSs were more likely to show penetrance (epilepsy diagnosis) and a more severe phenotype. Variant-specific analyses suggest that some rare variants may be more susceptible to PRS modification, carrying important genetic counselling and disease prognostication implications for patients. Funding: National Health and Medical Research Council of Australia, Medical Research Future Fund of Australia.
Published: 2024
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2. Selective atrophy of the cervical enlargement in whole spinal cord MRI of amyotrophic lateral sclerosis

Author: Robert L. Barry, Angel Torrado-Carvajal, John E. Kirsch, Grae E. Arabasz, Daniel S. Albrecht, Zeynab Alshelh, Olivia Pijanowski, Austin J. Lewis, Mackenzie Keegan, Beverly Reynolds, Paulina C. Knight, Erin J. Morrissey, Marco L. Loggia, Nazem Atassi, Jacob M. Hooker, and Suma Babu
Subjects: Atrophy, Cross-sectional area, Cervical enlargement, Spinal cord, Magnetic resonance imaging, Amyotrophic lateral sclerosis, Computer applications to medicine. Medical informatics, R858-859.7, Neurology. Diseases of the nervous system, RC346-429
Abstract: Amyotrophic lateral sclerosis (ALS) is a deadly neurodegenerative disorder affecting motor neurons in the spinal cord and brain. Studies have reported on atrophy within segments of the cervical cord, but we are not aware of previous investigations of the whole spinal cord. Herein we present our findings from a 3T MRI study involving 32 subjects (15 ALS participants and 17 healthy controls) characterizing cross-sectional area along the entire cord. We report atrophy of the cervical enlargement in ALS participants, but no evidence of atrophy of the thoracolumbar enlargement. These results suggest that MR-based analyses of the cervical cord may be sufficient for in vivo investigations of spinal cord atrophy in ALS, and that atrophy of the cervical enlargement (C4–C7) is a potential imaging marker for quantifying lower motor neuron degradation.
Published: 2022
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3. Connectome 2.0: Developing the next-generation ultra-high gradient strength human MRI scanner for bridging studies of the micro-, meso- and macro-connectome

Author: Susie Y. Huang, Thomas Witzel, Boris Keil, Alina Scholz, Mathias Davids, Peter Dietz, Elmar Rummert, Rebecca Ramb, John E. Kirsch, Anastasia Yendiki, Qiuyun Fan, Qiyuan Tian, Gabriel Ramos-Llordén, Hong-Hsi Lee, Aapo Nummenmaa, Berkin Bilgic, Kawin Setsompop, Fuyixue Wang, Alexandru V. Avram, Michal Komlosh, Dan Benjamini, Kulam Najmudeen Magdoom, Sudhir Pathak, Walter Schneider, Dmitry S. Novikov, Els Fieremans, Slimane Tounekti, Choukri Mekkaoui, Jean Augustinack, Daniel Berger, Alexander Shapson-Coe, Jeff Lichtman, Peter J. Basser, Lawrence L. Wald, and Bruce R. Rosen
Subjects: Connectome, Diffusion MRI, Head gradient, Peripheral nerve stimulation, Multi-scale modeling, Tissue microstructure, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract: The first phase of the Human Connectome Project pioneered advances in MRI technology for mapping the macroscopic structural connections of the living human brain through the engineering of a whole-body human MRI scanner equipped with maximum gradient strength of 300 mT/m, the highest ever achieved for human imaging. While this instrument has made important contributions to the understanding of macroscale connectional topology, it has also demonstrated the potential of dedicated high-gradient performance scanners to provide unparalleled in vivo assessment of neural tissue microstructure. Building on the initial groundwork laid by the original Connectome scanner, we have now embarked on an international, multi-site effort to build the next-generation human 3T Connectome scanner (Connectome 2.0) optimized for the study of neural tissue microstructure and connectional anatomy across multiple length scales. In order to maximize the resolution of this in vivo microscope for studies of the living human brain, we will push the diffusion resolution limit to unprecedented levels by (1) nearly doubling the current maximum gradient strength from 300 mT/m to 500 mT/m and tripling the maximum slew rate from 200 T/m/s to 600 T/m/s through the design of a one-of-a-kind head gradient coil optimized to minimize peripheral nerve stimulation; (2) developing high-sensitivity multi-channel radiofrequency receive coils for in vivo and ex vivo human brain imaging; (3) incorporating dynamic field monitoring to minimize image distortions and artifacts; (4) developing new pulse sequences to integrate the strongest diffusion encoding and highest spatial resolution ever achieved in the living human brain; and (5) calibrating the measurements obtained from this next-generation instrument through systematic validation of diffusion microstructural metrics in high-fidelity phantoms and ex vivo brain tissue at progressively finer scales with accompanying diffusion simulations in histology-based micro-geometries. We envision creating the ultimate diffusion MRI instrument capable of capturing the complex multi-scale organization of the living human brain – from the microscopic scale needed to probe cellular geometry, heterogeneity and plasticity, to the mesoscopic scale for quantifying the distinctions in cortical structure and connectivity that define cyto- and myeloarchitectonic boundaries, to improvements in estimates of macroscopic connectivity.
Published: 2021
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4. Cardiovascular Physiology for Intensivists

Author: Roxanne E. Kirsch, Karan R. Kumar, and Christoph P. Hornik
Subjects: Cardiac function curve, medicine.medical_specialty, Cardiac output, Heart disease, business.industry, Disease, medicine.disease, Intensive care unit, Cardiovascular physiology, law.invention, law, Heart failure, Circulatory system, Medicine, business, Intensive care medicine
Abstract: Importance: The goal of the cardiovascular system is to maximize delivery of oxygen to organs and tissues to meet their metabolic demands. Disruption of this normal cardiac function is common in a variety of pediatric disease states that require management in an intensive care unit. These include shock, heart failure, arrhythmias, and congenital heart disease. A thorough understanding of cardiovascular physiology is essential in the successful management of these cardiovascular derangements. This chapter reviews the hemodynamic principles of circulatory flow, the processes that regulate the mechanical function of the heart, the determinants of cardiac output, the cardiopulmonary interactions of the heart, and the relationship between the right and left side of the heart. Observations: Our understanding of cardiovascular function and regulatory mechanisms as it relates to the management of pediatric patients in the intensive care unit has improved over recent years. The incorporation of these new physiologic principles into therapeutic and surgical interventions has been important in the management of pediatric cardiovascular disease by critical care providers. Conclusions and Relevance: An understanding of cardiovascular physiology is the foundation of medical and surgical management of pediatric patients in the intensive care unit.
Published: 2019
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5. Contributors

Author: Mubbasheer Ahmed, Samuel M. Alaish, Euleche Alanmanou, Plato Alexander, Alaa Aljiffry, Melvin C. Almodovar, Bahaaldin Alsoufi, Marc M. Anders, Nicholas D. Andersen, Judith Ascenzi, Scott I. Aydin, Matthew K. Bacon, David J. Barron, Amy Basken, Kimberly D. Beddows, Melania M. Bembea, Alexis L. Benscoter, Charles P. Bergstrom, Meghan Bernier, Steve Bibevski, David Bichell, Geoffrey L. Bird, Konstantinos Boukas, Edward L. Bove, Ken Brady, Craig S. Broberg, Ronald A. Bronicki, Julie A. Brothers, Kristen M. Brown, John R. Brownlee, Roosevelt Bryant, Amulya Buddhavarapu, Duke E. Cameron, Paul J. Chai, Paul A. Checchia, Ira M. Cheifetz, Clifford Chin, Jill Marie Cholette, Charles R. Cole, David S. Cooper, John D. Coulson, Ralph J. Damiano, Miguel DeLeon, Holly C. DeSena, Nina Deutsch, Pirooz Eghtesady, Branden Engorn, Allen Everett, Lloyd Felmly, Andrew C. Fiore, Gregory A. Fleming, Saul Flores, Rodney Franklin, Charles D. Fraser, Michael Gaies, James J. Gangemi, Lasya Gaur, Nancy S. Ghanayem, Salil Ginde, Katja M. Gist, Allan Goldman, Stuart L. Goldstein, Dheeraj Goswami, Eric M. Graham, Michelle A. Grenier, Stephanie S. Handler, James R. Herlong, Kevin D. Hill, Jennifer C. Romano, Siew Yen Ho, George M. Hoffman, Osami Honjo, Christoph P. Hornik, Daphne T. Hsu, Charles B. Huddleston, Christin Huff, Elizabeth A. Hunt, Salim F. Idriss, Ilias Iliopoulos, Kimberly Ward Jackson, Jeffrey P. Jacobs, Marshall L. Jacobs, James Jaggers, Laura N. Jansen, Christopher M. Janson, Robert Jaquiss, Emily Johnson, Melissa B. Jones, Lindsey Justice, Patricia L. Kane, Tara Karamlou, Vyas M. Kartha, Minoo N. Kavarana, Abigail May Khan, Valerie King, Roxanne E. Kirsch, Paul M. Kirshbom, Christopher J. Knott-Craig, Jeannie Koo, Jennifer Kramer, Catherine D. Krawczeski, Ganga Krishnamurthy, Sapna R. Kudchadkar, Karan R. Kumar, T.K. Susheel Kumar, David M. Kwiatkowski, Jacqueline M. Lamour, Timothy S. Lancaster, Benjamin J. Landis, Javier J. Lasa, Matthew H.L. Liava'a, Daniel J. Licht, Matthew T. Lisi, Ryan Loftin, Rohit S. Loomba, Bradley S. Marino, Thomas S. Maxey, Karen McCarthy, Michael C. McCrory, Inder D. Mehta, Christopher Mehta, Jon N. Meliones, Christine Meliones, Alison Miles, Michael E. Mitchell, Erica Molitor-Kirsch, Jenny A. Montgomery, Lisa Moore, David L.S. Morales, Cara Morin, Nicholas Morin, Steven S. Mou, Ashok Muralidaran, Raghav Murthy, Joseph R. Nellis, Jennifer S. Nelson, Kristen Nelson McMillan, Melanie Nies, John Nigro, Corina Noje, Sarah E. Norris, James O'Brien, George Ofori-Amanfo, Richard G. Ohye, Yoshio Ootaki, Caroline P. Ozment, Giles J. Peek, Autumn K. Peterson, Renuka E. Peterson, John K. Petty, Prashob Porayette, David E. Procaccini, James Quintessenza, William S. Ragalie, William Ravekes, Tia T. Raymond, Andrew Redington, Kyle J. Rehder, Becky Riggs, Ramon Julio Rivera, Jennifer Roark, Lewis H. Romer, Amy Ryan, Thomas D. Ryan, Beth A. Rymeski, Peter Sassalos, Jaclyn E. Sawyer, Frank Scholl, Kevin Patrick Schooler, Jennifer Schuette, Jamie McElrath, Daniel R. Sedehi, Priya Sekar, Donald H. Shaffner, Sanket Shah, Irving Shen, Avinash K. Shetty, Edd Shope, Darla Shores, Ming-Sing Si, Nida Siddiqi, Leah Simpson, Zdenek Slavik, Heidi A.B. Smith, Zebulon Z. Spector, Allison L. Speer, Philip Spevak, Dylan Stewart, Robert D. Stewart, James St. Louis, Matthew L. Stone, Erik Su, Kelly A. Swain, Cliff M. Takemoto, Sarah Tallent, Ravi R. Thiagarajan, Chani Traube, Ephraim Tropp, Rocky Tsang, Sebastian C. Tume, Joseph W. Turek, Jennifer L. Turi, Immanuel I. Turner, James S. Tweddell, Chinwe Unegbu, Ross M. Ungerleider, Jamie Dickey Ungerleider, Graham D. Ungerleider, Luca A. Vricella, Eric L. Vu, Rajeev S. Wadia, Michael J. Walsh, Kevin M. Watt, Karl Welke, Renée Willett, Derek A. Williams, Ronald K. Woods, Charlotte Woods-Hill, and Tharakanatha R. Yarrabolu
Published: 2019
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6. Bayesian hierarchical modeling of gabapentin absorption and disposition with application to dosing regimen assessment

Author: Lee E. Kirsch, Linas Mockus, Gintaras V. Reklaitis, and Stephen D. Stamatis
Subjects: Mathematical optimization, education.field_of_study, Computer science, Bayesian probability, Population, Markov chain Monte Carlo, Disposition, Bayesian inference, Regimen, symbols.namesake, symbols, Bayesian hierarchical modeling, Dosing, education
Abstract: In the previous work, a reduced-order population pharmacokinetic (PK) model was used within a Bayesian inference framework to predict individualized patient dosing regimens. It was shown that a reduced-order model was adequate for individualized dosing of gabapentin given a minimum number of plasma samples from the given patient. However, this purely empirical model could not explain why patients have such different dosing needs. Accordingly, in this work, we couple an advanced compartment and transit oral absorption model with a full physiologically based PK model parameterized using a two-level hierarchical Bayesian approach. The coupled model provides the capability to not only understand the variable oral absorption but also the disposition of the drug. The proposed model-based strategy to individualized dosing is applied to the dosing of gabapentin using the retrospective data from the literature. The computations show that a standard starting regimen of 300 mg every 8 h is not likely to result in efficacious dosing for a substantial proportion of patients. Additionally, the proposed approach was able to incorporate urine data in a seamless way to inform the extent of absorption without assuming that the data were perfect. The mechanistic absorption model elucidated that the uncertainty in absorption plays a role in the variability in exposure seen across the patient population. It has also been suggested that the apparent absorption site is likely not the full upper GI, but a very localized segment due to the transit times required to fit the data. In this study, model implementation and Markov chain Monte Carlo computations were performed using the CmdStan package.
Published: 2018
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7. Ultra-rare genetic variation in common epilepsies: a case-control sequencing study

Author: Andrew S Allen, Susannah T Bellows, Samuel F Berkovic, Joshua Bridgers, Rosemary Burgess, Gianpiero Cavalleri, Seo-Kyung Chung, Patrick Cossette, Norman Delanty, Dennis Dlugos, Michael P Epstein, Catharine Freyer, David B Goldstein, Erin L Heinzen, Michael S Hildebrand, Michael R Johnson, Ruben Kuzniecky, Daniel H Lowenstein, Anthony G Marson, Richard Mayeux, Caroline Mebane, Heather C Mefford, Terence J O'Brien, Ruth Ottman, Steven Petrou, Slavgé Petrovski, William O Pickrell, Annapurna Poduri, Rodney A Radtke, Mark I Rees, Brigid M Regan, Zhong Ren, Ingrid E Scheffer, Graeme J Sills, Rhys H Thomas, Quanli Wang, Bassel Abou-Khalil, Brian K Alldredge, Dina Amrom, Eva Andermann, Frederick Andermann, Jocelyn F. Bautista, Judith Bluvstein, Alex Boro, Gregory D Cascino, Damian Consalvo, Patricia Crumrine, Orrin Devinsky, Miguel Fiol, Nathan B Fountain, Jacqueline French, Daniel Friedman, Eric B Geller, Tracy Glauser, Simon Glynn, Kevin Haas, Sheryl R Haut, Jean Hayward, Sandra L Helmers, Sucheta Joshi, Andres Kanner, Heidi E Kirsch, Robert C Knowlton, Eric H Kossoff, Rachel Kuperman, Paul V Motika, Edward J Novotny, Juliann M Paolicchi, Jack M Parent, Kristen Park, Lynette G Sadleir, Renée A. Shellhaas, Elliott H Sherr, Jerry J. Shih, Shlomo Shinnar, Rani K Singh, Joseph Sirven, Michael C Smith, Joseph Sullivan, Liu Lin Thio, Anu Venkat, Eileen P.G Vining, Gretchen K Von Allmen, Judith L Weisenberg, Peter Widdess-Walsh, Melodie R Winawer, and Imperial College Healthcare NHS Trust- BRC Funding
Subjects: 0301 basic medicine, medicine.medical_specialty, Population, Disease, Bioinformatics, 03 medical and health sciences, Epilepsy, 0302 clinical medicine, Epilepsy Phenome/Genome Project, Genetic variation, medicine, Humans, Exome, Genetic Predisposition to Disease, education, Psychiatry, education.field_of_study, Neurology & Neurosurgery, business.industry, Genetic Variation, 1103 Clinical Sciences, Sequence Analysis, DNA, medicine.disease, Comorbidity, R1, 030104 developmental biology, Case-Control Studies, Epilepsy syndromes, Epilepsy, Generalized, Epilepsies, Partial, Neurology (clinical), 1109 Neurosciences, business, 030217 neurology & neurosurgery
Abstract: Summary Background Despite progress in understanding the genetics of rare epilepsies, the more common epilepsies have proven less amenable to traditional gene-discovery analyses. We aimed to assess the contribution of ultra-rare genetic variation to common epilepsies. Methods We did a case-control sequencing study with exome sequence data from unrelated individuals clinically evaluated for one of the two most common epilepsy syndromes: familial genetic generalised epilepsy, or familial or sporadic non-acquired focal epilepsy. Individuals of any age were recruited between Nov 26, 2007, and Aug 2, 2013, through the multicentre Epilepsy Phenome/Genome Project and Epi4K collaborations, and samples were sequenced at the Institute for Genomic Medicine (New York, USA) between Feb 6, 2013, and Aug 18, 2015. To identify epilepsy risk signals, we tested all protein-coding genes for an excess of ultra-rare genetic variation among the cases, compared with control samples with no known epilepsy or epilepsy comorbidity sequenced through unrelated studies. Findings We separately compared the sequence data from 640 individuals with familial genetic generalised epilepsy and 525 individuals with familial non-acquired focal epilepsy to the same group of 3877 controls, and found significantly higher rates of ultra-rare deleterious variation in genes established as causative for dominant epilepsy disorders (familial genetic generalised epilepsy: odd ratio [OR] 2·3, 95% CI 1·7–3·2, p=9·1 × 10 −8 ; familial non-acquired focal epilepsy 3·6, 2·7–4·9, p=1·1 × 10 −17 ). Comparison of an additional cohort of 662 individuals with sporadic non-acquired focal epilepsy to controls did not identify study-wide significant signals. For the individuals with familial non-acquired focal epilepsy, we found that five known epilepsy genes ranked as the top five genes enriched for ultra-rare deleterious variation. After accounting for the control carrier rate, we estimate that these five genes contribute to the risk of epilepsy in approximately 8% of individuals with familial non-acquired focal epilepsy. Our analyses showed that no individual gene was significantly associated with familial genetic generalised epilepsy; however, known epilepsy genes had lower p values relative to the rest of the protein-coding genes (p=5·8 × 10 −8 ) that were lower than expected from a random sampling of genes. Interpretation We identified excess ultra-rare variation in known epilepsy genes, which establishes a clear connection between the genetics of common and rare, severe epilepsies, and shows that the variants responsible for epilepsy risk are exceptionally rare in the general population. Our results suggest that the emerging paradigm of targeting of treatments to the genetic cause in rare devastating epilepsies might also extend to a proportion of common epilepsies. These findings might allow clinicians to broadly explain the cause of these syndromes to patients, and lay the foundation for possible precision treatments in the future. Funding National Institute of Neurological Disorders and Stroke (NINDS), and Epilepsy Research UK.
Published: 2017

8. Measurement of the inclusive isolated prompt photon cross-section in pp collisions at sqrt(s)= 7 TeV using 35 pb-1 of ATLAS data

Author: G. AAD, E. ABAT, B. ABBOTT, J. ABDALLAH, A. A. ABDELALIM, A. ABDESSELAM, O. ABDINOV, B. ABI, M. ABOLINS, H. ABRAMOWICZ, H. ABREU, E. ACERBI, B. S. ACHARYA, M. ACKERS, D. L. ADAMS, T. N. ADDY, J. ADELMAN, M. ADERHOLZ, C. ADORISIO, P. ADRAGNA, T. ADYE, S. AEFSKY, J. A. AGUILAR SAAVEDRA, M. AHARROUCHE, S. P. AHLEN, F. AHLES, A. AHMAD, H. AHMED, M. AHSAN, G. AIELLI, T. AKDOGAN, P. F. AKESSON, T. P. A. AKESSON, G. AKIMOTO, A. V. AKIMOV, A. AKTAS, M. S. ALAM, M. A. ALAM, J. ALBERT, S. ALBRAND, M. ALEKSA, I. N. ALEKSANDROV, M. ALEPPO, F. ALESSANDRIA, C. ALEXA, G. ALEXANDER, G. ALEXANDRE, T. ALEXOPOULOS, M. ALHROOB, M. ALIEV, G. ALIMONTI, J. ALISON, M. ALIYEV, P. P. ALLPORT, S. E. ALLWOOD SPIERS, J. ALMOND, A. ALOISIO, R. ALON, A. ALONSO, J. ALONSO, M. G. ALVIGGI, K. AMAKO, P. AMARAL, G. AMBROSINI, G. AMBROSIO, C. AMELUNG, V. V. AMMOSOV, A. AMORIM, G. AMOROS, N. AMRAM, C. ANASTOPOULOS, T. ANDEEN, C. F. ANDERS, K. J. ANDERSON, A. ANDREAZZA, V. ANDREI, M. L. ANDRIEUX, X. S. ANDUAGA, A. ANGERAMI, F. ANGHINOLFI, N. ANJOS, A. ANNOVI, A. ANTONAKI, M. ANTONELLI, S. ANTONELLI, J. ANTOS, B. ANTUNOVIC, F. ANULLI, S. AOUN, G. ARABIDZE, I. ARACENA, Y. ARAI, A. T. H. ARCE, J. P. ARCHAMBAULT, S. ARFAOUI, J. F. ARGUIN, T. ARGYROPOULOS, E. ARIK, M. ARIK, A. J. ARMBRUSTER, K. E. ARMS, S. R. ARMSTRONG, O. ARNAEZ, C. ARNAULT, A. ARTAMONOV, D. ARUTINOV, M. ASAI, S. ASAI, R. ASFANDIYAROV, S. ASK, B. ASMAN, D. ASNER, L. ASQUITH, K. ASSAMAGAN, A. ASTBURY, A. ASTVATSATOUROV, B. ATHAR, G. ATOIAN, B. AUBERT, B. AUERBACH, E. AUGE, K. AUGSTEN, M. AUROUSSEAU, N. AUSTIN, G. AVOLIO, R. AVRAMIDOU, D. AXEN, C. AY, G. AZUELOS, Y. AZUMA, M. A. BAAK, G. BACCAGLIONI, C. BACCI, A. M. BACH, H. BACHACOU, K. BACHAS, G. BACHY, M. BACKES, E. BADESCU, P. BAGNAIA, Y. BAI, D. C. BAILEY, T. BAIN, J. T. BAINES, O. K. BAKER, M. D. BAKER, S. BAKER, F. BALTASAR DOS SANTOS PEDROSA, E. BANAS, P. BANERJEE, S. BANERJEE, D. BANFI, A. BANGERT, V. BANSAL, S. P. BARANOV, S. BARANOV, A. BARASHKOU, T. BARBER, E. L. 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BENSINGER, K. BENSLAMA, S. BENTVELSEN, M. BERETTA, D. BERGE, E. BERGEAAS KUUTMANN, N. BERGER, F. BERGHAUS, E. BERGLUND, J. BERINGER, K. BERNARDET, P. BERNAT, R. BERNHARD, C. BERNIUS, T. BERRY, F. BERTINELLI, S. BERTOLUCCI, M. I. BESANA, N. BESSON, S. BETHKE, R. M. BIANCHI, M. BIANCO, O. BIEBEL, M. BIERI, J. BIESIADA, M. BIGLIETTI, H. BILOKON, M. BINDER, S. BINET, A. BINGUL, C. BINI, C. BISCARAT, R. BISCHOF, U. BITENC, K. M. BLACK, R. E. BLAIR, O. BLANCH, J. B. BLANCHARD, G. BLANCHOT, C. BLOCKER, J. BLOCKI, A. BLONDEL, W. BLUM, U. BLUMENSCHEIN, C. BOARETTO, G. J. BOBBINK, A. BOCCI, D. BOCIAN, R. BOCK, M. BOEHLER, M. BOEHM, J. BOEK, N. BOELAERT, S. BOSER, J. A. BOGAERTS, A. BOGOUCH, C. BOHM, J. BOHM, V. BOISVERT, T. BOLD, V. BOLDEA, A. BOLDYREV, V. G. BONDARENKO, M. BONDIOLI, R. BONINO, M. BOONEKAMP, G. BOORMAN, M. BOOSTEN, C. N. BOOTH, P. S. L. BOOTH, P. BOOTH, J. R. A. BOOTH, S. BORDONI, C. BORER, K. BORER, A. BORISOV, G. BORISSOV, I. BORJANOVIC, S. BORRONI, K. BOS, D. BOSCHERINI, M. 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WIELERS, P. WIENEMANN, M. WIESMANN, C. WIGLESWORTH, L. A. M. WIIK, A. WILDAUER, M. A. WILDT, I. WILHELM, H. G. WILKENS, E. WILLIAMS, H. H. WILLIAMS, W. WILLIS, S. WILLOCQ, J. A. WILSON, M. G. WILSON, A. WILSON, I. WINGERTER SEEZ, F. WINKLMEIER, M. WITTGEN, E. WOEHRLING, M. W. WOLTER, H. WOLTERS, B. K. WOSIEK, J. WOTSCHACK, M. J. WOUDSTRA, K. WRAIGHT, C. WRIGHT, D. WRIGHT, B. WRONA, S. L. WU, X. WU, J. WUESTENFELD, E. WULF, R. WUNSTORF, B. M. WYNNE, L. XAPLANTERIS, S. XELLA, S. XIE, Y. XIE, D. XU, G. XU, N. XU, M. YAMADA, A. YAMAMOTO, K. YAMAMOTO, S. YAMAMOTO, T. YAMAMURA, J. YAMAOKA, T. YAMAZAKI, Y. YAMAZAKI, Z. YAN, H. YANG, S. YANG, U. K. YANG, Y. YANG, Z. YANG, W. M. YAO, Y. YAO, K. YARRADODDI, Y. YASU, J. YE, S. YE, M. YILMAZ, R. YOOSOOFMIYA, K. YORITA, H. YOSHIDA, R. YOSHIDA, C. YOUNG, S. P. YOUSSEF, D. YU, J. YU, J. YUAN, L. YUAN, A. YURKEWICZ, V. G. ZAETS, R. ZAIDAN, A. M. ZAITSEV, Z. ZAJACOVA, Y.O. K. ZALITE, V. ZAMBRANO, L. ZANELLO, P. ZARZHITSKY, A. ZAYTSEV, M. ZDRAZIL, C. ZEITNITZ, M. ZELLER, P. F. ZEMA, A. ZEMLA, C. ZENDLER, A. V. ZENIN, O. ZENIN, T. ZENIS, Z. ZENONOS, S. ZENZ, D. ZERWAS, G. ZEVI DELLA PORTA, Z. ZHAN, H. ZHANG, J. ZHANG, Q. ZHANG, X. ZHANG, L. ZHAO, T. ZHAO, Z. ZHAO, A. ZHEMCHUGOV, S. ZHENG, J. ZHONG, B. ZHOU, N. ZHOU, Y. ZHOU, C. G. ZHU, H. ZHU, Y. ZHU, X. ZHUANG, V. ZHURAVLOV, B. ZILKA, R. ZIMMERMANN, S. ZIMMERMANN, M. ZIOLKOWSKI, R. ZITOUN, L. ZIVKOVIC, V. V. ZMOUCHKO, G. ZOBERNIG, Y. ZOLNIEROWSKI, A. ZSENEI, M. ZUR NEDDEN, V. ZUTSHI, BERTIN, ANTONIO, BINDI, MARCELLO, CAFORIO, DAVIDE, DE CASTRO, STEFANO, DI SIPIO, RICCARDO, FABBRI, LAURA, FRANCHINI, MATTEO, MASSA, IGNAZIO GIACOMO, MENGARELLI, ALBERTO, MONZANI, SIMONE, PICCININI, MAURIZIO, RINALDI, LORENZO, SBARRA, CARLA, SBRIZZI, ANTONIO, SEMPRINI CESARI, NICOLA, VALENTINETTI, SARA, VILLA, MAURO, ZOCCOLI, ANTONIO, UAM. Departamento de Física Teórica, Laboratoire de Physique Subatomique et de Cosmologie (LPSC), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Joseph Fourier - Grenoble 1 (UJF)-Centre National de la Recherche Scientifique (CNRS), Centre de Calcul de l'IN2P3 (CC-IN2P3), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Centre de Physique des Particules de Marseille (CPPM), Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique Corpusculaire - Clermont-Ferrand (LPC), Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique Corpusculaire, Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de l'Accélérateur Linéaire (LAL), Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris-Sud - Paris 11 (UP11), Institut Pluridisciplinaire Hubert Curien (IPHC), Université de Strasbourg (UNISTRA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Institute of High Energy Physics (IHEP), Chinese Academy of Sciences [Changchun Branch] (CAS), Laboratoire d'Annecy de Physique des Particules (LAPP), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique Nucléaire et de Hautes Énergies (LPNHE), Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Pierre et Marie Curie - Paris 6 (UPMC), APC - Neutrinos, Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Pierre et Marie Curie - Paris 6 (UPMC)-AstroParticule et Cosmologie (APC (UMR_7164)), Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), ATLAS, Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS), Université Paris-Sud - Paris 11 (UP11)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-AstroParticule et Cosmologie (APC (UMR_7164)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Aix Marseille Université (AMU), Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA), Laboratoire d'Annecy de Physique des Particules (LAPP/Laboratoire d'Annecy-le-Vieux de Physique des Particules), AstroParticule et Cosmologie (APC (UMR_7164)), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Laboratoire de Physique Nucléaire et de Hautes Énergies (LPNHE), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), G. AAD, E. ABAT, B. ABBOTT, J. ABDALLAH, A.A. ABDELALIM, A. ABDESSELAM, O. ABDINOV, B. ABI, M. ABOLINS, H. ABRAMOWICZ, H. ABREU, E. ACERBI, B.S. ACHARYA, M. ACKERS, D.L. ADAMS, T.N. ADDY, J. ADELMAN, M. ADERHOLZ, C. ADORISIO, P. ADRAGNA, T. ADYE, S. AEFSKY, J.A. AGUILAR-SAAVEDRA, M. AHARROUCHE, S.P. AHLEN, F. AHLES, A. AHMAD, H. AHMED, M. AHSAN, G. AIELLI, T. AKDOGAN, P.F. AKESSON, T.P.A. AKESSON, G. AKIMOTO, A.V. AKIMOV, A. AKTAS, M.S. ALAM, M.A. ALAM, J. ALBERT, S. ALBRAND, M. ALEKSA, I.N. ALEKSANDROV, M. ALEPPO, F. ALESSANDRIA, C. ALEXA, G. ALEXANDER, G. ALEXANDRE, T. ALEXOPOULOS, M. ALHROOB, M. ALIEV, G. ALIMONTI, J. ALISON, M. ALIYEV, P.P. ALLPORT, S.E. ALLWOOD-SPIERS, J. ALMOND, A. ALOISIO, R. ALON, A. ALONSO, J. ALONSO, M.G. ALVIGGI, K. AMAKO, P. AMARAL, G. AMBROSINI, G. AMBROSIO, C. AMELUNG, V.V. AMMOSOV, A. AMORIM, G. AMOROS, N. AMRAM, C. ANASTOPOULOS, T. ANDEEN, C.F. ANDERS, K.J. ANDERSON, A. ANDREAZZA, V. ANDREI, M.-L. ANDRIEUX, X.S. ANDUAGA, A. ANGERAMI, F. ANGHINOLFI, N. ANJOS, A. ANNOVI, A. ANTONAKI, M. ANTONELLI, S. ANTONELLI, J. ANTOS, B. ANTUNOVIC, F. ANULLI, S. AOUN, G. ARABIDZE, I. ARACENA, Y. ARAI, A.T.H. ARCE, J.P. ARCHAMBAULT, S. ARFAOUI, J.-F. ARGUIN, T. ARGYROPOULOS, E. ARIK, M. ARIK, A.J. ARMBRUSTER, K.E. ARMS, S.R. ARMSTRONG, O. ARNAEZ, C. ARNAULT, A. ARTAMONOV, D. ARUTINOV, M. ASAI, S. ASAI, R. ASFANDIYAROV, S. ASK, B. ASMAN, D. ASNER, L. ASQUITH, K. ASSAMAGAN, A. ASTBURY, A. ASTVATSATOUROV, B. ATHAR, G. ATOIAN, B. AUBERT, B. AUERBACH, E. AUGE, K. AUGSTEN, M. AUROUSSEAU, N. AUSTIN, G. AVOLIO, R. AVRAMIDOU, D. AXEN, C. AY, G. AZUELOS, Y. AZUMA, M.A. BAAK, G. BACCAGLIONI, C. BACCI, A.M. BACH, H. BACHACOU, K. BACHAS, G. BACHY, M. BACKES, E. BADESCU, P. BAGNAIA, Y. BAI, D.C. BAILEY, T. BAIN, J.T. BAINES, O.K. BAKER, M.D. BAKER, S. BAKER, F. BALTASAR DOS SANTOS PEDROSA, E. BANAS, P. BANERJEE, S. BANERJEE, D. BANFI, A. BANGERT, V. BANSAL, S.P. BARANOV, S. BARANOV, A. BARASHKOU, T. BARBER, E.L. BARBERIO, D. BARBERIS, M. BARBERO, D.Y. BARDIN, T. BARILLARI, M. BARISONZI, T. BARKLOW, N. BARLOW, B.M. BARNETT, R.M. BARNETT, A. BARONCELLI, M. BARONE, A.J. BARR, F. BARREIRO, J. BARREIRO GUIMARAES DA COSTA, P. BARRILLON, V. BARTHELD, H. BARTKO, R. BARTOLDUS, D. BARTSCH, R.L. BATES, S. BATHE, L. BATKOVA, J.R. BATLEY, A. BATTAGLIA, M. BATTISTIN, G. BATTISTONI, F. BAUER, H.S. BAWA, M. BAZALOVA, B. BEARE, T. BEAU, P.H. BEAUCHEMIN, R. BECCHERLE, N. BECERICI, P. BECHTLE, G.A. BECK, H.P. BECK, M. BECKINGHAM, K.H. BECKS, A.J. BEDDALL, A. BEDDALL, V.A. BEDNYAKOV, C. BEE, M. BEGEL, S. BEHAR HARPAZ, P.K. BEHERA, M. BEIMFORDE, G.A.N. BELANGER, C. BELANGER-CHAMPAGNE, B. BELHORMA, P.J. BELL, W.H. BELL, G. BELLA, L. BELLAGAMBA, F. BELLINA, G. BELLOMO, M. BELLOMO, A. BELLONI, K. BELOTSKIY, O. BELTRAMELLO, A. BELYMAM, S. BEN AMI, O. BENARY, D. BENCHEKROUN, C. BENCHOUK, M. BENDEL, B.H. BENEDICT, N. BENEKOS, Y. BENHAMMOU, G.P. BENINCASA, D.P. BENJAMIN, M. BENOIT, J.R. BENSINGER, K. BENSLAMA, S. BENTVELSEN, M. BERETTA, D. BERGE, E. BERGEAAS KUUTMANN, N. BERGER, F. BERGHAUS, E. BERGLUND, J. BERINGER, K. BERNARDET, P. BERNAT, R. BERNHARD, C. BERNIUS, T. BERRY, A. BERTIN, F. BERTINELLI, S. BERTOLUCCI, M.I. BESANA, N. BESSON, S. BETHKE, R.M. BIANCHI, M. BIANCO, O. BIEBEL, M. BIERI, J. BIESIADA, M. BIGLIETTI, H. BILOKON, M. BINDER, M. BINDI, S. BINET, A. BINGUL, C. BINI, C. BISCARAT, R. BISCHOF, U. BITENC, K.M. BLACK, R.E. BLAIR, O. BLANCH, J.-B. BLANCHARD, G. BLANCHOT, C. BLOCKER, J. BLOCKI, A. BLONDEL, W. BLUM, U. BLUMENSCHEIN, C. BOARETTO, G.J. BOBBINK, A. BOCCI, D. BOCIAN, R. BOCK, M. BOEHLER, M. BOEHM, J. BOEK, N. BOELAERT, S. BOSER, J.A. BOGAERTS, A. BOGOUCH, C. BOHM, J. BOHM, V. BOISVERT, T. BOLD, V. BOLDEA, A. BOLDYREV, V.G. BONDARENKO, M. BONDIOLI, R. BONINO, M. BOONEKAMP, G. BOORMAN, M. BOOSTEN, C.N. BOOTH, P.S.L. BOOTH, P. BOOTH, J.R.A. BOOTH, S. BORDONI, C. BORER, K. BORER, A. BORISOV, G. BORISSOV, I. BORJANOVIC, S. BORRONI, K. BOS, D. BOSCHERINI, M. BOSMAN, H. BOTERENBROOD, D. BOTTERILL, J. BOUCHAMI, J. BOUDREAU, E.V. BOUHOVA-THACKER, C. BOULAHOUACHE, C. BOURDARIOS, A. BOVEIA, J. BOYD, B.H. BOYER, I.R. BOYKO, N.I. BOZHKO, I. BOZOVIC-JELISAVCIC, S. BRACCINI, J. BRACINIK, A. BRAEM, E. BRAMBILLA, P. BRANCHINI, G.W. BRANDENBURG, A. BRANDT, G. BRANDT, O. BRANDT, U. BRATZLER, B. BRAU, J.E. BRAU, H.M. BRAUN, S. BRAVO, B. BRELIER, J. BREMER, R. BRENNER, S. BRESSLER, D. BRETON, N.D. BRETT, P.G. BRIGHT-THOMAS, D. BRITTON, F.M. BROCHU, I. BROCK, R. BROCK, T.J. BRODBECK, E. BRODET, F. BROGGI, C. BROMBERG, G. BROOIJMANS, W.K. BROOKS, G. BROWN, E. BRUBAKER, P.A. BRUCKMAN DE RENSTROM, D. BRUNCKO, R. BRUNELIERE, S. BRUNET, A. BRUNI, G. BRUNI, M. BRUSCHI, T. BUANES, F. BUCCI, J. BUCHANAN, N.J. BUCHANAN, P. BUCHHOLZ, A.G. BUCKLEY, I.A. BUDAGOV, B. BUDICK, V. BUSCHER, L. BUGGE, D. BUIRA-CLARK, E.J. BUIS, F. BUJOR, O. BULEKOV, M. BUNSE, T. BURAN, H. BURCKHART, S. BURDIN, T. BURGESS, S. BURKE, E. BUSATO, P. BUSSEY, C.P. BUSZELLO, F. BUTIN, B. BUTLER, J.M. BUTLER, C.M. BUTTAR, J.M. BUTTERWORTH, T. BYATT, J. CABALLERO, S. CABRERA URBAN, M. CACCIA, D. CAFORIO, O. CAKIR, P. CALAFIURA, G. CALDERINI, P. CALFAYAN, R. CALKINS, L.P. CALOBA, R. CALOI, D. CALVET, A. CAMARD, P. CAMARRI, M. CAMBIAGHI, D. CAMERON, J. CAMMIN, S. CAMPANA, M. CAMPANELLI, V. CANALE, F. CANELLI, A. CANEPA, J. CANTERO, L. CAPASSO, M.D.M. CAPEANS GARRIDO, I. CAPRINI, M. CAPRINI, M. CAPRIO, M. CAPUA, R. CAPUTO, C. CARAMARCU, R. CARDARELLI, L. CARDIEL SAS, T. CARLI, G. CARLINO, L. CARMINATI, B. CARON, S. CARON, C. CARPENTIERI, G.D. CARRILLO MONTOYA, S. CARRON MONTERO, A.A. CARTER, J.R. CARTER, J. CARVALHO, D. CASADEI, M.P. CASADO, M. CASCELLA, C. CASO, A.M. CASTANEDA HERNADEZ, E. CASTANEDA-MIRANDA, V. CASTILLO GIMENEZ, N.F. CASTRO, F. CASTROVILLARI, G. CATALDI, F. CATANEO, A. CATINACCIO, J.R. CATMORE, A. CATTAI, G. CATTANI, S. CAUGHRON, D. CAUZ, A. CAVALLARI, P. CAVALLERI, D. CAVALLI, M. CAVALLI-SFORZA, V. CAVASINNI, A. CAZZATO, F. CERADINI, C. CERNA, A.S. CERQUEIRA, A. CERRI, L. CERRITO, F. CERUTTI, M. 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ZUR NEDDEN, and V. ZUTSHI
Subjects: Standard Model, Astrophysics::High Energy Astrophysical Phenomena, FOS: Physical sciences, Física, ddc:500.2, ATLAS, Photon, High Energy Physics - Experiment, High Energy Physics - Experiment (hep-ex), HADRON-HADRON COLLISIONS, INCLUSIVE DIFFERENTIAL CROSS SECTION, [PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex], High Energy Physics::Experiment, Física nuclear, LHC, Nuclear Experiment, Particle Physics - Experiment
Abstract: A measurement of the differential cross-section for the inclusive production of isolated prompt photons in pp collisions at a center-of-mass energy sqrt(s) = 7 TeV is presented. The measurement covers the pseudorapidity ranges |eta, 7 pages plus author list (18 pages total), 2 figures, 4 tables, final version published in Physics Letters B
Published: 2011
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9. Search for lunar pickup ions

Author: George Gloeckler, D. Hovestadt, Johannes Geiss, B. Wilken, E. Kirsch, and Antoinette B. Galvin
Subjects: Physics, Solar wind, Range (particle radiation), Photon, Micrometeoroid, Astrophysics::High Energy Astrophysical Phenomena, Physics::Space Physics, Flux, Satellite, Pickup, Astrophysics::Earth and Planetary Astrophysics, Atomic physics, Ion
Abstract: During lunar flybys in December 1994 and January 1996 pickup ions, generated by solar photons, solar wind and micrometeoroid impacts, were detected by the SMS experiment on the WIND-S/C in the energy range E = 6.5 - 226 KeV/e. Near the moon the ions have not yet reached their full pickup energy, but they can be identified by the directional properties of the additional flux increases in sectors 4–8, the high mass and the charge state (singly charged ions) in contrast to solar wind ions which are multiply charged. Lunar pickup ions in the mass range 12–42 amu/e could be identified but no singly charged iron ions were found. The pickup ions give a qualitative picture of the lunar surface composition. The results obtained earlier by Hilchenbach et al. (1991) near the Earth with a similar experiment on board the AMPTE satellite could generally be confirmed.
Published: 1998
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10. Contributors to Volume 19

Author: Norio Akaike, Edson X. Albuquerque, Simon Alford, Manickavasagom Alkondon, Kimon J. Angelides, Ramesh Bangalore, Newton G. Castro, S.Y. Chiu, Graham L. Collingridge, John A. Drewe, James Eberwine, Jerry M. Farley, Antonio V. Ferrer-Montiel, Steven R. Glaum, Anne Grove, Nobutoshi Harata, Hali A. Hartmann, Victor Henzi, Barry W. Hicks, Robert S. Kass, Glenn E. Kirsch, Henry A. Lester, Amy B. Macdermott, John F. Macdonald, Mauricio Montal, Joseph G. Montes, Toshio Narahashi, Edna F.R. Pereira, Donald G. Puro, Fred N. Quandt, Michael W. Quick, Martin D. Rayner, David B. Reichling, David J. Rossi, Mary Louise Roy, Michael W. Salter, Michael C. Sanguinetti, Michael F. Sheets, P. Shrager, N. Traverse Slater, John G. Starkus, D. James Surmeier, Robert E. Ten Eick, Lu-Yang Wang, and C.J. Wilson
Subjects: Petroleum engineering, Volume (thermodynamics), Environmental science
Published: 1994
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11. Potassium Channels in Mammalian Brain: A Molecular Approach

Author: J. A. Drewe, H. A. Hartmann, and Glenn E. Kirsch
Subjects: Exonuclease III, Transmembrane domain, Restriction enzyme, chemistry.chemical_compound, pBluescript, biology, chemistry, DNA polymerase, Complementary DNA, RNA polymerase, biology.protein, Molecular biology, DNA
Abstract: Publisher Summary This chapter focuses on potassium channels in the mammalian brain and describes some of the molecular techniques used in the structure–function analysis of rat brain K + channels. The coding region of Kv2.1, a typical representative of rat brain K + channels, contains six transmembrane domains (S1–S6) flanked by long C- and N-termini. The chapter describes two techniques to make deletions in the amino and carboxy ends that define the minimal core protein necessary for a functional channel. The first method uses restriction endonuclease sites, and the second technique uses exonucleases to achieve nested deletions. Deletions in both the amino and carboxy termini, beginning just upstream of the S1 and just downstream of the S6 transmembrane regions, are made using exonuclease III followed by treatment with S1 nuclease and blunt ending with T4 DNA polymerase. The donor DNA cassette is prepared using PCR methods. The K + -channel cDNA clones are propagated in either pSP72 or pBluescript SK plasmid vectors. These clones have different sequences corresponding to the three common phage RNA polymerase recognition sites: (1) T7, (2) T3, and (3) SP6. In vitro translation is optimized for a high-quality yield of cRNA using either T7 or T3 RNA polymerase.
Published: 1994
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12. Modulation of collagen type synthesis in organ and cell cultures of fibroblasts.

Author: Weber L, Mauch C, Kirsch E, Müller PK, and Krieg T
Subjects: Animals, Cells, Cultured, Collagen classification, Electrophoresis, Disc, Embryo, Mammalian, Fibroblasts metabolism, Fluorescent Antibody Technique, Humans, Mice, Organ Culture Techniques, Skin metabolism, Collagen biosynthesis
Abstract: Fibroblast cultures are widely used to study abnormalities of collagen metabolism in both inborn and acquired diseases. However, there is reason to question the extent to which the experimental information obtained from in vitro culture systems in fact reflects the in vivo situation. In the present study we analyzed the proportions of collagens I and III synthesized by human and mouse skin fibroblasts maintained under various culture conditions. The amount of type III collagen extracted from skin specimens was lower than that which was newly synthesized in organ culture. Cells obtained by enzymatic disintegration of skin specimens synthesized more type III collagen than fibroblasts grown from explants. However, subcultivation of the enzymatically liberated cells resulted in a continuous decline of type III collagen production which eventually reached levels similar to those observed in explant cultures.
Published: 1986
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13. Collagen type distribution and macromolecular organization of connective tissue in different layers of human skin.

Author: Weber L, Kirsch E, Müller P, and Krieg T
Subjects: Adipose Tissue metabolism, Adult, Cells, Cultured, Fibroblasts metabolism, Humans, Hydroxylation, Macromolecular Substances, Organ Culture Techniques, Tissue Distribution, Collagen metabolism, Connective Tissue metabolism, Skin metabolism
Abstract: Human skin is composed of several layers which are characterized by a specific macromolecular organization of connective tissue. Three approaches were used to quantify the collagen types present in each of the different layers: biochemical analysis of authentic tissue, metabolic labeling of organ cultures, and metabolic labeling of fibroblast monolayers. We obtained reproducible evidence for a somewhat higher ratio of type III/type I collagen synthesis in the papillary dermis and the subcutaneous fat compared to the reticular layer. Constant amounts of alpha 1 (I) trimers and type V collagen were found in all layers. The degree of hydroxylation of lysine in either type I or type III collagen was the same in any layer of the skin.
Published: 1984
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13 results on '"E. Kirsch"'

1. Investigating the effect of polygenic background on epilepsy phenotype in ‘monogenic’ familiesResearch in context

2. Selective atrophy of the cervical enlargement in whole spinal cord MRI of amyotrophic lateral sclerosis

3. Connectome 2.0: Developing the next-generation ultra-high gradient strength human MRI scanner for bridging studies of the micro-, meso- and macro-connectome

4. Cardiovascular Physiology for Intensivists

5. Contributors

6. Bayesian hierarchical modeling of gabapentin absorption and disposition with application to dosing regimen assessment

7. Ultra-rare genetic variation in common epilepsies: a case-control sequencing study

8. Measurement of the inclusive isolated prompt photon cross-section in pp collisions at sqrt(s)= 7 TeV using 35 pb-1 of ATLAS data

9. Search for lunar pickup ions

10. Contributors to Volume 19

11. Potassium Channels in Mammalian Brain: A Molecular Approach

12. Modulation of collagen type synthesis in organ and cell cultures of fibroblasts.

13. Collagen type distribution and macromolecular organization of connective tissue in different layers of human skin.

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