117 results on '"Haas, Kevin A."'
Search Results
2. Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud
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Hardt, Michaela, Chen, Xiaoguang, Cheng, Xiaoyi, Donini, Michele, Gelman, Jason, Gollaprolu, Satish, He, John, Larroy, Pedro, Liu, Xinyu, McCarthy, Nick, Rathi, Ashish, Rees, Scott, Siva, Ankit, Tsai, ErhYuan, Vasist, Keerthan, Yilmaz, Pinar, Zafar, Muhammad Bilal, Das, Sanjiv, Haas, Kevin, Hill, Tyler, and Kenthapadi, Krishnaram
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Computer Science - Machine Learning - Abstract
Understanding the predictions made by machine learning (ML) models and their potential biases remains a challenging and labor-intensive task that depends on the application, the dataset, and the specific model. We present Amazon SageMaker Clarify, an explainability feature for Amazon SageMaker that launched in December 2020, providing insights into data and ML models by identifying biases and explaining predictions. It is deeply integrated into Amazon SageMaker, a fully managed service that enables data scientists and developers to build, train, and deploy ML models at any scale. Clarify supports bias detection and feature importance computation across the ML lifecycle, during data preparation, model evaluation, and post-deployment monitoring. We outline the desiderata derived from customer input, the modular architecture, and the methodology for bias and explanation computations. Further, we describe the technical challenges encountered and the tradeoffs we had to make. For illustration, we discuss two customer use cases. We present our deployment results including qualitative customer feedback and a quantitative evaluation. Finally, we summarize lessons learned, and discuss best practices for the successful adoption of fairness and explanation tools in practice.
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- 2021
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3. Efficient optomechanical mode-shape mapping of micromechanical devices
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Hoch, David, Haas, Kevin-Jeremy, Moller, Leopold, Sommer, Timo, Soubelet, Pedro, Finley, Jonathan, and Poot, Menno
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Physics - Applied Physics ,Condensed Matter - Mesoscale and Nanoscale Physics ,Physics - Optics - Abstract
We demonstrate a method to optically map multiple modes of mechanical structures simultaneously. The fast and robust method, based on a modified phase-lock-loop, is demonstrated on a silicon nitride membrane and compared with three different approaches. Line traces and two-dimensional maps of different modes are acquired. The high quality enables us to determine the weights of individual contributions in superpositions of degenerate modes.
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- 2021
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4. Shared genetic basis between genetic generalized epilepsy and background electroencephalographic oscillations
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Stevelink, Remi, Luykx, Jurjen J, Lin, Bochao D, Leu, Costin, Lal, Dennis, Smith, Alexander W, Schijven, Dick, Carpay, Johannes A, Rademaker, Koen, Baldez, Roiza A Rodrigues, Devinsky, Orrin, Braun, Kees PJ, Jansen, Floor E, Smit, Dirk JA, Koeleman, Bobby PC, Abou‐Khalil, Bassel, Auce, Pauls, Avbersek, Andreja, Bahlo, Melanie, Balding, David J, Bast, Thomas, Baum, Larry, Becker, Albert J, Becker, Felicitas, Berghuis, Bianca, Berkovic, Samuel F, Boysen, Katja E, Bradfield, Jonathan P, Brody, Lawrence C, Buono, Russell J, Campbell, Ellen, Cascino, Gregory D, Catarino, Claudia B, Cavalleri, Gianpiero L, Cherny, Stacey S, Chinthapalli, Krishna, Coffey, Alison J, Compston, Alastair, Coppola, Antonietta, Cossette, Patrick, Craig, John J, de Haan, Gerrit‐Jan, De Jonghe, Peter, de Kovel, Carolien GF, Delanty, Norman, Depondt, Chantal, Dlugos, Dennis J, Doherty, Colin P, Elger, Christian E, Eriksson, Johan G, Ferraro, Thomas N, Feucht, Martha, Francis, Ben, Franke, Andre, French, Jacqueline A, Freytag, Saskia, Gaus, Verena, Geller, Eric B, Gieger, Christian, Glauser, Tracy, Glynn, Simon, Goldstein, David B, Gui, Hongsheng, Guo, Youling, Haas, Kevin F, Hakonarson, Hakon, Hallmann, Kerstin, Haut, Sheryl, Heinzen, Erin L, Helbig, Ingo, Hengsbach, Christian, Hjalgrim, Helle, Iacomino, Michele, Ingason, Andrés, Jamnadas‐Khoda, Jennifer, Johnson, Michael R, Kälviäinen, Reetta, Kantanen, Anne‐Mari, Kasperavičiūte, Dalia, Trenite, Dorothee Kasteleijn‐Nolst, Kirsch, Heidi E, Knowlton, Robert C, Krause, Roland, Krenn, Martin, Kunz, Wolfram S, Kuzniecky, Ruben, Kwan, Patrick, Lau, Yu‐Lung, Lehesjoki, Anna‐Elina, Lerche, Holger, Lieb, Wolfgang, Lindhout, Dick, Lo, Warren D, Lopes‐Cendes, Iscia, Lowenstein, Daniel H, Malovini, Alberto, Marson, Anthony G, Mayer, Thomas, McCormack, Mark, and Mills, James L
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Biomedical and Clinical Sciences ,Neurosciences ,Clinical Sciences ,Genetics ,Brain Disorders ,Clinical Research ,Human Genome ,Neurodegenerative ,Epilepsy ,2.1 Biological and endogenous factors ,Aetiology ,Neurological ,Adult ,Algorithms ,Beta Rhythm ,Cohort Studies ,Databases ,Factual ,Electroencephalography ,Epilepsy ,Generalized ,Genome-Wide Association Study ,Humans ,Linkage Disequilibrium ,Mendelian Randomization Analysis ,Risk Assessment ,Theta Rhythm ,beta power ,EEG ,generalized epilepsy ,GGE ,oscillations ,PRS ,International League Against Epilepsy Consortium on Complex Epilepsies ,Epi25 Collaborative ,Neurology & Neurosurgery ,Clinical sciences - Abstract
ObjectiveParoxysmal epileptiform abnormalities on electroencephalography (EEG) are the hallmark of epilepsies, but it is uncertain to what extent epilepsy and background EEG oscillations share neurobiological underpinnings. Here, we aimed to assess the genetic correlation between epilepsy and background EEG oscillations.MethodsConfounding factors, including the heterogeneous etiology of epilepsies and medication effects, hamper studies on background brain activity in people with epilepsy. To overcome this limitation, we compared genetic data from a genome-wide association study (GWAS) on epilepsy (n = 12 803 people with epilepsy and 24 218 controls) with that from a GWAS on background EEG (n = 8425 subjects without epilepsy), in which background EEG oscillation power was quantified in four different frequency bands: alpha, beta, delta, and theta. We replicated our findings in an independent epilepsy replication dataset (n = 4851 people with epilepsy and 20 428 controls). To assess the genetic overlap between these phenotypes, we performed genetic correlation analyses using linkage disequilibrium score regression, polygenic risk scores, and Mendelian randomization analyses.ResultsOur analyses show strong genetic correlations of genetic generalized epilepsy (GGE) with background EEG oscillations, primarily in the beta frequency band. Furthermore, we show that subjects with higher beta and theta polygenic risk scores have a significantly higher risk of having generalized epilepsy. Mendelian randomization analyses suggest a causal effect of GGE genetic liability on beta oscillations.SignificanceOur results point to shared biological mechanisms underlying background EEG oscillations and the susceptibility for GGE, opening avenues to investigate the clinical utility of background EEG oscillations in the diagnostic workup of epilepsy.
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- 2021
5. Quantitative analysis of phenotypic elements augments traditional electroclinical classification of common familial epilepsies
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Abou‐Khalil, Bassel, Afawi, Zaid, Allen, Andrew S, Bautista, Jocelyn F, Bellows, Susannah T, Berkovic, Samuel F, Bluvstein, Judith, Burgess, Rosemary, Cascino, Gregory, Cossette, Patrick, Cristofaro, Sabrina, Crompton, Douglas E, Delanty, Norman, Devinsky, Orrin, Dlugos, Dennis, Ellis, Colin A, Epstein, Michael P, Fountain, Nathan B, Freyer, Catharine, Geller, Eric B, Glauser, Tracy, Glynn, Simon, Goldberg‐Stern, Hadassa, Goldstein, David B, Gravel, Micheline, Haas, Kevin, Haut, Sheryl, Heinzen, Erin L, Kirsch, Heidi E, Kivity, Sara, Knowlton, Robert, Korczyn, Amos D, Kossoff, Eric, Kuzniecky, Ruben, Loeb, Rebecca, Lowenstein, Daniel H, Marson, Anthony G, McCormack, Mark, McKenna, Kevin, Mefford, Heather C, Motika, Paul, Mullen, Saul A, J. O'Brien, Terence, Ottman, Ruth, Paolicchi, Juliann, Parent, Jack M, Paterson, Sarah, Petrou, Steven, Petrovski, Slavé, Owen Pickrell, William, Poduri, Annapurna, Rees, Mark I, Sadleir, Lynette G, Scheffer, Ingrid E, Shih, Jerry, Singh, Rani, Sirven, Joseph, Smith, Michael, Smith, Phil EM, Thio, Liu Lin, Thomas, Rhys H, Venkat, Anu, Vining, Eileen, Von Allmen, Gretchen, Weisenberg, Judith, Widdess‐Walsh, Peter, and Winawer, Melodie R
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Neurodegenerative ,Neurosciences ,Epilepsy ,Clinical Research ,Brain Disorders ,2.1 Biological and endogenous factors ,Aetiology ,Neurological ,Electroencephalography ,Epileptic Syndromes ,Female ,Humans ,Latent Class Analysis ,Male ,Pedigree ,Phenotype ,epilepsy ,genetics ,latent class analysis ,phenotype ,Epi4K Consortium ,Clinical Sciences ,Neurology & Neurosurgery - Abstract
ObjectiveClassification of epilepsy into types and subtypes is important for both clinical care and research into underlying disease mechanisms. A quantitative, data-driven approach may augment traditional electroclinical classification and shed new light on existing classification frameworks.MethodsWe used latent class analysis, a statistical method that assigns subjects into groups called latent classes based on phenotypic elements, to classify individuals with common familial epilepsies from the Epi4K Multiplex Families study. Phenotypic elements included seizure types, seizure symptoms, and other elements of the medical history. We compared class assignments to traditional electroclinical classifications and assessed familial aggregation of latent classes.ResultsA total of 1120 subjects with epilepsy were assigned to five latent classes. Classes 1 and 2 contained subjects with generalized epilepsy, largely reflecting the distinction between absence epilepsies and younger onset (class 1) versus myoclonic epilepsies and older onset (class 2). Classes 3 and 4 contained subjects with focal epilepsies, and in contrast to classes 1 and 2, these did not adhere as closely to clinically defined focal epilepsy subtypes. Class 5 contained nearly all subjects with febrile seizures plus or unknown epilepsy type, as well as a few subjects with generalized epilepsy and a few with focal epilepsy. Family concordance of latent classes was similar to or greater than concordance of clinically defined epilepsy types.SignificanceQuantitative classification of epilepsy has the potential to augment traditional electroclinical classification by (1) combining some syndromes into a single class, (2) splitting some syndromes into different classes, (3) helping to classify subjects who could not be classified clinically, and (4) defining the boundaries of clinically defined classifications. This approach can guide future research, including molecular genetic studies, by identifying homogeneous sets of individuals that may share underlying disease mechanisms.
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- 2019
6. Vessel wake contributions to erosion at exposed and sheltered shorelines near a tidal shipping channel
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Muscalus, Alexandra C. and Haas, Kevin A.
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- 2022
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7. The Inner-Shelf Dynamics Experiment
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Kumar, Nirnimesh, Lerczak, James A., Xu, Tongtong, Waterhouse, Amy F., Thomson, Jim, Terrill, Eric J., Swann, Christy, Suanda, Sutara H., Spydell, Matthew S., Smit, Pieter B., Simpson, Alexandra, Romeiser, Roland, Pierce, Stephen D., de Paolo, Tony, Palóczy, André, O’Dea, Annika, Nyman, Lisa, Moum, James N., Moulton, Melissa, Moore, Andrew M., Miller, Arthur J., Mieras, Ryan S., Merrifield, Sophia T., Melville, Kendall, McSweeney, Jacqueline M., MacMahan, Jamie, MacKinnon, Jennifer A., Lund, Björn, Di Lorenzo, Emanuele, Lenain, Luc, Kovatch, Michael, Janssen, Tim T., Haney, Sean R., Haller, Merrick C., Haas, Kevin, Grimes, Derek J., Graber, Hans C., Gough, Matt K., Fertitta, David A., Feddersen, Falk, Edwards, Christopher A., Crawford, William, Colosi, John, Chickadel, C. Chris, Celona, Sean, Calantoni, Joseph, Braithwaite, Edward F., Becherer, Johannes, Barth, John A., and Ahn, Seongho
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- 2021
8. A randomized controlled trial of levodopa in patients with Angelman syndrome
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Tan, Wen‐Hann, Bird, Lynne M, Sadhwani, Anjali, Barbieri‐Welge, Rene L, Skinner, Steven A, Horowitz, Lucia T, Bacino, Carlos A, Noll, Lisa M, Fu, Cary, Hundley, Rachel J, Wink, Logan K, Erickson, Craig A, Barnes, Gregory N, Slavotinek, Anne, Jeremy, Rita, Rotenberg, Alexander, Kothare, Sanjeev V, Olson, Heather E, Poduri, Annapurna, Nespeca, Mark P, Chu, Hillary C, Willen, Jennifer M, Haas, Kevin F, Weeber, Edwin J, and Rufo, Paul A
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Biomedical and Clinical Sciences ,Clinical Sciences ,Neurosciences ,Clinical Research ,Brain Disorders ,Prevention ,Pediatric ,Clinical Trials and Supportive Activities ,Evaluation of treatments and therapeutic interventions ,6.1 Pharmaceuticals ,Angelman Syndrome ,Animals ,Biomarkers ,Calcium ,Calcium-Calmodulin-Dependent Protein Kinase Type 2 ,Disease Models ,Animal ,Humans ,Levodopa ,Long-Term Potentiation ,Mice ,Neuropsychological Tests ,Treatment Outcome ,calcium-calmodulin-dependent protein kinase type 2 ,clinical trial ,developmental disabilities ,inborn genetic diseases ,rare disease ,UBE3A ,Genetics ,Clinical sciences - Abstract
Treatment for Angelman syndrome (AS) is currently limited to symptomatic interventions. A mouse model of AS has reduced calcium/calmodulin-dependent kinase II activity due to excessive phosphorylation of specific threonine residues, leading to diminished long-term potentiation. In a rat model of Parkinson disease, levodopa reduced phosphorylation of various proteins, including calcium/calmodulin-dependent kinase II. Further studies demonstrated that AS mice treated with levodopa performed better on rotarod testing than untreated AS mice. We conducted a multi-center double-blind randomized placebo-controlled 1-year trial of levodopa / carbidopa with either 10 or 15 mg/kg/day of levodopa in children with AS. The outcome of this intervention was assessed using either the Bayley Scales of Infant Development or the Mullen Scales of Early Learning, as well as the Vineland Adaptive Behavior Scales, and the Aberrant Behavior Checklist. Of the 78 participants enrolled, 67 participants received study medication (33 on levodopa, 34 on placebo), and 55 participants (29 on levodopa, 26 on placebo) completed the 1-year study. There were no clinically or statistically significant changes in any of the outcome measures over a 1-year period comparing the levodopa and placebo groups. The number of adverse events reported, including the more serious adverse events, was similar in both groups, but none were related to treatment with levodopa. Our data demonstrate that levodopa is well-tolerated by children with AS. However, in the doses used in this study, it failed to improve their neurodevelopment or behavioral outcome.
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- 2018
9. Inter- and intra-observer variability of radial-endobronchial ultrasound image interpretation for peripheral pulmonary lesions
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Moulton, Nathaniel, primary, Abbasi, Mohammed, additional, Ahmad, Danish, additional, Burks, Allen, additional, Chenna, Praveen, additional, Haas, Kevin, additional, Loiselle, Andrea, additional, Mekhaiel, Essam, additional, Pilli, Suchitra, additional, Sadoughi, Ali, additional, Lydon, Brandt, additional, Patel, Tej, additional, and Chen, Alexander C., additional
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- 2024
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10. Phenotypic analysis of 303 multiplex families with common epilepsies.
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Abou-Khalil, Bassel, Afawi, Zaid, Allen, Andrew S, Bautista, Jocelyn F, Bellows, Susannah T, Berkovic, Samuel F, Bluvstein, Judith, Burgess, Rosemary, Cascino, Gregory, Cops, Elisa J, Cossette, Patrick, Cristofaro, Sabrina, Crompton, Douglas E, Delanty, Norman, Devinsky, Orrin, Dlugos, Dennis, Epstein, Michael P, Fountain, Nathan B, Freyer, Catharine, Garry, Sarah I, Geller, Eric B, Glauser, Tracy, Glynn, Simon, Goldberg-Stern, Hadassa, Goldstein, David B, Gravel, Micheline, Haas, Kevin, Haut, Sheryl, Heinzen, Erin L, Kirsch, Heidi E, Kivity, Sara, Knowlton, Robert, Korczyn, Amos D, Kossoff, Eric, Kuzniecky, Ruben, Loeb, Rebecca, Lowenstein, Daniel H, Marson, Anthony G, McCormack, Mark, McKenna, Kevin, Mefford, Heather C, Motika, Paul, Mullen, Saul A, O'Brien, Terence J, Ottman, Ruth, Paolicchi, Juliann, Parent, Jack M, Paterson, Sarah, Petrovski, Slave, Pickrell, William Owen, Poduri, Annapurna, Rees, Mark I, Sadleir, Lynette G, Scheffer, Ingrid E, Shih, Jerry, Singh, Rani, Sirven, Joseph, Smith, Michael, Smith, Phil EM, Thio, Liu Lin, Thomas, Rhys H, Venkat, Anu, Vining, Eileen, Von Allmen, Gretchen, Weisenberg, Judith, Widdess-Walsh, Peter, and Winawer, Melodie R
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Genetics ,Clinical Research ,Brain Disorders ,Pediatric ,Neurosciences ,Epilepsy ,Neurodegenerative ,2.1 Biological and endogenous factors ,Aetiology ,Neurological ,Adolescent ,Age of Onset ,Child ,Child ,Preschool ,Epilepsy ,Generalized ,Family Health ,Female ,Humans ,Male ,Pedigree ,Phenotype ,Sex Factors ,Young Adult ,epilepsy ,multiplex families ,phenotype ,genetics ,Epi4K Consortium ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Neurology & Neurosurgery - Abstract
Gene identification in epilepsy has mainly been limited to large families segregating genes of major effect and de novo mutations in epileptic encephalopathies. Many families that present with common non-acquired focal epilepsies and genetic generalized epilepsies remain unexplained. We assembled a cohort of 'genetically enriched' common epilepsies by collecting and phenotyping families containing multiple individuals with unprovoked seizures. We aimed to determine if specific clinical epilepsy features aggregate within families, and whether this segregation of phenotypes may constitute distinct 'familial syndromes' that could inform genomic analyses. Families with three or more individuals with unprovoked seizures were studied across multiple international centres. Affected individuals were phenotyped and classified according to specific electroclinical syndromes. Families were categorized based on syndromic groupings of affected family members, examined for pedigree structure and phenotypic patterns and, where possible, assigned specific familial epilepsy syndromes. A total of 303 families were assembled and analysed, comprising 1120 affected phenotyped individuals. Of the 303 families, 117 exclusively segregated generalized epilepsy, 62 focal epilepsy, and 22 were classified as genetic epilepsy with febrile seizures plus. Over one-third (102 families) were observed to have mixed epilepsy phenotypes: 78 had both generalized and focal epilepsy features within the same individual (n = 39), or within first or second degree relatives (n = 39). Among the genetic generalized epilepsy families, absence epilepsies were found to cluster within families independently of juvenile myoclonic epilepsy, and significantly more females were affected than males. Of the 62 familial focal epilepsy families, two previously undescribed familial focal syndrome patterns were evident: 15 families had posterior quadrant epilepsies, including seven with occipito-temporal localization and seven with temporo-parietal foci, and four families displayed familial focal epilepsy of childhood with multiple affected siblings that was suggestive of recessive inheritance. The findings suggest (i) specific patterns of syndromic familial aggregation occur, including newly recognized forms of familial focal epilepsy; (ii) although syndrome-specificity usually occurs in multiplex families, the one-third of families with features of both focal and generalized epilepsy is suggestive of shared genetic determinants; and (iii) patterns of features observed across families including pedigree structure, sex, and age of onset may hold clues for future gene identification. Such detailed phenotypic information will be invaluable in the conditioning and interpretation of forthcoming sequencing data to understand the genetic architecture and inter-relationships of the common epilepsy syndromes.
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- 2017
11. High-throughput fetal fraction amplification increases analytical performance of noninvasive prenatal screening
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Welker, Noah C., Lee, Albert K., Kjolby, Rachel A. S., Wan, Helen Y., Theilmann, Mark R., Jeon, Diana, Goldberg, James D., Haas, Kevin R., Muzzey, Dale, and Chu, Clement S.
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- 2021
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12. Wave energy resource characterization and assessment for coastal waters of the United States
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Ahn, Seongho, Haas, Kevin A., and Neary, Vincent S.
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- 2020
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13. Tidal effects in a realistic model of a thermally buoyant plume north of Pt. Conception
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Suanda, Sutara, Kumar, Nirnimesh, Di Lorenzo, Emanuele, Miller, Arthur, Haas, Kevin, and Feddersen, Falk
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- 2016
14. De Novo Mutations in Synaptic Transmission Genes Including DNM1 Cause Epileptic Encephalopathies
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Appenzeller, Silke, Balling, Rudi, Barisic, Nina, Baulac, Stéphanie, Caglayan, Hande, Craiu, Dana, De Jonghe, Peter, Depienne, Christel, Dimova, Petia, Djémié, Tania, Gormley, Padhraig, Guerrini, Renzo, Helbig, Ingo, Hjalgrim, Helle, Hoffman-Zacharska, Dorota, Jähn, Johanna, Klein, Karl Martin, Koeleman, Bobby, Komarek, Vladimir, Krause, Roland, Kuhlenbäumer, Gregor, Leguern, Eric, Lehesjoki, Anna-Elina, Lemke, Johannes R, Lerche, Holger, Linnankivi, Tarja, Marini, Carla, May, Patrick, Møller, Rikke S, Muhle, Hiltrud, Pal, Deb, Palotie, Aarno, Pendziwiat, Manuela, Robbiano, Angela, Roelens, Filip, Rosenow, Felix, Selmer, Kaja, Serratosa, Jose M, Sisodiya, Sanjay, Stephani, Ulrich, Sterbova, Katalin, Striano, Pasquale, Suls, Arvid, Talvik, Tiina, von Spiczak, Sarah, Weber, Yvonne, Weckhuysen, Sarah, Zara, Federico, Abou-Khalil, Bassel, Alldredge, Brian K, Andermann, Eva, Andermann, Frederick, Amron, Dina, Bautista, Jocelyn F, Berkovic, Samuel F, Bluvstein, Judith, Boro, Alex, Cascino, Gregory, Consalvo, Damian, Crumrine, Patricia, Devinsky, Orrin, Dlugos, Dennis, Epstein, Michael P, Fiol, Miguel, Fountain, Nathan B, French, Jacqueline, Friedman, Daniel, Geller, Eric B, Glauser, Tracy, Glynn, Simon, Haas, Kevin, Haut, Sheryl R, Hayward, Jean, Helmers, Sandra L, Joshi, Sucheta, Kanner, Andres, Kirsch, Heidi E, Knowlton, Robert C, Kossoff, Eric H, Kuperman, Rachel, Kuzniecky, Ruben, Lowenstein, Daniel H, McGuire, Shannon M, Motika, Paul V, Novotny, Edward J, Ottman, Ruth, Paolicchi, Juliann M, Parent, Jack, Park, Kristen, Poduri, Annapurna, Sadleir, Lynette, Scheffer, Ingrid E, Shellhaas, Renée A, Sherr, Elliott, Shih, Jerry J, Singh, Rani, Sirven, Joseph, Smith, Michael C, Sullivan, Joe, and Thio, Liu Lin
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Genetics ,Pediatric ,Neurosciences ,Epilepsy ,Brain Disorders ,Neurodegenerative ,2.1 Biological and endogenous factors ,Aetiology ,Cohort Studies ,Dynamin I ,Exome ,Fatty Acid Synthase ,Type I ,Female ,Gene Regulatory Networks ,Humans ,Infant ,Newborn ,Lennox Gastaut Syndrome ,Male ,Mutation ,Protein Interaction Maps ,Receptors ,GABA-B ,Ryanodine Receptor Calcium Release Channel ,Spasms ,Infantile ,Synaptic Transmission ,EuroEPINOMICS-RES Consortium ,Epilepsy Phenome/Genome Project ,Epi4K Consortium ,Biological Sciences ,Medical and Health Sciences ,Genetics & Heredity - Abstract
Emerging evidence indicates that epileptic encephalopathies are genetically highly heterogeneous, underscoring the need for large cohorts of well-characterized individuals to further define the genetic landscape. Through a collaboration between two consortia (EuroEPINOMICS and Epi4K/EPGP), we analyzed exome-sequencing data of 356 trios with the "classical" epileptic encephalopathies, infantile spasms and Lennox Gastaut syndrome, including 264 trios previously analyzed by the Epi4K/EPGP consortium. In this expanded cohort, we find 429 de novo mutations, including de novo mutations in DNM1 in five individuals and de novo mutations in GABBR2, FASN, and RYR3 in two individuals each. Unlike previous studies, this cohort is sufficiently large to show a significant excess of de novo mutations in epileptic encephalopathy probands compared to the general population using a likelihood analysis (p = 8.2 × 10(-4)), supporting a prominent role for de novo mutations in epileptic encephalopathies. We bring statistical evidence that mutations in DNM1 cause epileptic encephalopathy, find suggestive evidence for a role of three additional genes, and show that at least 12% of analyzed individuals have an identifiable causal de novo mutation. Strikingly, 75% of mutations in these probands are predicted to disrupt a protein involved in regulating synaptic transmission, and there is a significant enrichment of de novo mutations in genes in this pathway in the entire cohort as well. These findings emphasize an important role for synaptic dysregulation in epileptic encephalopathies, above and beyond that caused by ion channel dysfunction.
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- 2014
15. User Taglines: Alternative Presentations of Expertise and Interest in Social Media
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Purohit, Hemant, Dow, Alex, Alonso, Omar, Duan, Lei, and Haas, Kevin
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Computer Science - Social and Information Networks ,H.5.3 - Abstract
Web applications are increasingly showing recommended users from social media along with some descriptions, an attempt to show relevancy - why they are being shown. For example, Twitter search for a topical keyword shows expert twitterers on the side for 'whom to follow'. Google+ and Facebook also recommend users to follow or add to friend circle. Popular Internet newspaper- The Huffington Post shows Twitter influencers/ experts on the side of an article for authoritative relevant tweets. The state of the art shows user profile bios as summary for Twitter experts, but it has issues with length constraint imposed by user interface (UI) design, missing bio and sometimes funny profile bio. Alternatively, applications can use human generated user summary, but it will not scale. Therefore, we study the problem of automatic generation of informative expertise summary or taglines for Twitter experts in space constraint imposed by UI design. We propose three methods for expertise summary generation- Occupation-Pattern based, Link-Triangulation based and User-Classification based, with use of knowledge-enhanced computing approaches. We also propose methods for final summary selection for users with multiple candidates of generated summaries. We evaluate the proposed approaches by user-study using a number of experiments. Our results show promising quality of 92.8% good summaries with majority agreement in the best case and 70% with majority agreement in the worst case. Our approaches also outperform the state of the art up to 88%. This study has implications in the area of expert profiling, user presentation and application design for engaging user experience., Comment: First ASE International Conference on Social Informatics, Social-Informatics-2012
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- 2012
16. The epilepsy phenome/genome project.
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EPGP Collaborative, Abou-Khalil, Bassel, Alldredge, Brian, Bautista, Jocelyn, Berkovic, Sam, Bluvstein, Judith, Boro, Alex, Cascino, Gregory, Consalvo, Damian, Cristofaro, Sabrina, Crumrine, Patricia, Devinsky, Orrin, Dlugos, Dennis, Epstein, Michael, Fahlstrom, Robyn, Fiol, Miguel, Fountain, Nathan, Fox, Kristen, French, Jacqueline, Freyer Karn, Catharine, Friedman, Daniel, Geller, Eric, Glauser, Tracy, Glynn, Simon, Haas, Kevin, Haut, Sheryl, Hayward, Jean, Helmers, Sandra, Joshi, Sucheta, Kanner, Andres, Kirsch, Heidi, Knowlton, Robert, Kossoff, Eric, Kuperman, Rachel, Kuzniecky, Ruben, Lowenstein, Daniel, McGuire, Shannon, Motika, Paul, Nesbitt, Gerard, Novotny, Edward, Ottman, Ruth, Paolicchi, Juliann, Parent, Jack, Park, Kristen, Poduri, Annapurna, Risch, Neil, Sadleir, Lynette, Scheffer, Ingrid, Shellhaas, Renee, Sherr, Elliott, Shih, Jerry J, Shinnar, Shlomo, Singh, Rani, Sirven, Joseph, Smith, Michael, Sullivan, Joe, Thio, Liu Lin, Venkat, Anu, Vining, Eileen, von Allmen, Gretchen, Weisenberg, Judith, Widdess-Walsh, Peter, and Winawer, Melodie
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EPGP Collaborative ,Humans ,Epilepsy ,Oligonucleotide Array Sequence Analysis ,Retrospective Studies ,Genetic Research ,Genotype ,Phenotype ,Research Design ,Information Management ,Clinical Research ,Neurodegenerative ,Neurosciences ,Brain Disorders ,Genetics ,2.1 Biological and endogenous factors ,Aetiology ,Neurological ,Statistics ,Clinical Sciences ,Statistics & Probability - Abstract
BackgroundEpilepsy is a common neurological disorder that affects approximately 50 million people worldwide. Both risk of epilepsy and response to treatment partly depend on genetic factors, and gene identification is a promising approach to target new prediction, treatment, and prevention strategies. However, despite significant progress in the identification of genes causing epilepsy in families with a Mendelian inheritance pattern, there is relatively little known about the genetic factors responsible for common forms of epilepsy and so-called epileptic encephalopathies. Study design The Epilepsy Phenome/Genome Project (EPGP) is a multi-institutional, retrospective phenotype-genotype study designed to gather and analyze detailed phenotypic information and DNA samples on 5250 participants, including probands with specific forms of epilepsy and, in a subset, parents of probands who do not have epilepsy.ResultsEPGP is being executed in four phases: study initiation, pilot, study expansion/establishment, and close-out. This article discusses a number of key challenges and solutions encountered during the first three phases of the project, including those related to (1) study initiation and management, (2) recruitment and phenotyping, and (3) data validation. The study has now enrolled 4223 participants.ConclusionsEPGP has demonstrated the value of organizing a large network into cores with specific roles, managed by a strong Administrative Core that utilizes frequent communication and a collaborative model with tools such as study timelines and performance-payment models. The study also highlights the critical importance of an effective informatics system, highly structured recruitment methods, and expert data review.
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- 2013
17. Lung cancer screening: assessment of health literacy and readability of online educational resources
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Haas, Kevin, Brillante, Christie, Sharp, Lisa, Elzokaky, Ahmed K., Pasquinelli, Mary, Feldman, Lawrence, Kovitz, Kevin L., and Joo, Min
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- 2018
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18. eP443: Fetal fraction amplification within NIPS enables detection of clinically-relevant genome-wide copy-number variants to 1Mb resolution
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Acevedo, Ashley, primary, Cox, Samuel, additional, Labreche, Heather, additional, Alfaro, Maria, additional, Pierson, Summer, additional, Hancock, Susan, additional, Moyer, Krista, additional, Yeleswarapu, Jo, additional, Hong, Sun, additional, Haas, Kevin, additional, and Muzzey, Dale, additional
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- 2022
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19. Tidal stream energy site assessment via three-dimensional model and measurements
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Work, Paul A., Haas, Kevin A., Defne, Zafer, and Gay, Thomas
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- 2013
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20. Modeling the Effects of Wave Skewness and Beach Cusps on Littoral Sand Transport
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Haas, Kevin A., Check, Lindsay A., and Hanes, Daniel M.
- Published
- 2008
- Full Text
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21. Efficient Optomechanical Mode-Shape Mapping of Micromechanical Devices
- Author
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Hoch, David, primary, Haas, Kevin-Jeremy, additional, Moller, Leopold, additional, Sommer, Timo, additional, Soubelet, Pedro, additional, Finley, Jonathan J., additional, and Poot, Menno, additional
- Published
- 2021
- Full Text
- View/download PDF
22. Does adherence to epilepsy quality measures correlate with reduced epilepsy-related adverse hospitalizations? A retrospective experience
- Author
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Ladner, Travis R., Morgan, Clinton D., Pomerantz, Daniel J., Kennedy, Vanessa E., Azar, Nabil, Haas, Kevin, Lagrange, Andre, Gallagher, Martin, Singh, Pradumna, Abou-Khalil, Bassel W., and Arain, Amir M.
- Published
- 2015
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23. Numerical Solutions of the Time-Dependent Schr�dinger Equation
- Author
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Haas, Kevin and Haas, Kevin
- Abstract
The behavior of particles at the atomic level is dictated by quantum theory and must satisfy the Schrodinger equation, which treats particles as waves. These waves can be localized to a region in space by forming a wave packet. Analytical solutions of the Schrodinger equation may be obtained for specific situations, but the majority of quantum systems require numerical solutions. The Runge-Kutta method and the finite difference method are both numerical techniques used to simulate the behavior of quantum particles localized in wave packets of different shapes. Analysis of the quantum behavior shows similarities to classical behavior in terms of periodicity and motion. Properties unique to quantum theory also emerge such as interference, dispersion, and discretization. The simulations are run with Gaussian, hyperbolic secant squared, and square wave packets. Potentials in the simulations are the potentials due to gravity and free space, as well as the hyperbolic step potential.
- Published
- 2021
24. Dosing feasibility and tolerability of intranasal diazepam in adults with epilepsy
- Author
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Sperling, Michael R., Haas, Kevin F., Krauss, Gregory, Eddeine, Hussam Seif, Henney, Herbert R., III, Rabinowicz, Adrian L., Bream, Gary, Squillacote, David, and Carrazana, Enrique J.
- Published
- 2014
- Full Text
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25. Epidemiology of Functional Seizures Among Adults Treated at a University Hospital
- Author
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Goleva, Slavina B., primary, Lake, Allison M., additional, Torstenson, Eric S., additional, Haas, Kevin F., additional, and Davis, Lea K., additional
- Published
- 2020
- Full Text
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26. Quantitative EEG Features of Level of Consciousness in Critically Ill Nonagenarians
- Author
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Roberson, Shawniqua Williams, primary and Haas, Kevin, additional
- Published
- 2020
- Full Text
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27. Statistical Learning Theory of Protein Dynamics
- Author
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Haas, Kevin
- Subjects
Chemical engineering ,Chemistry ,Computer science ,Dynamics ,Entropy ,FRET ,Machine Learning ,Optimization ,Protein - Abstract
This thesis establishes a comprehensive statistical learning framework to extract from single-molecule Forster resonance energy transfer (smFRET) experiments the potential of mean force and diffusion coefficient that characterize the measured protein dynamics. To enable a fundamental understanding of how deterministic mean force and stochastic diffusion combine to affect conformational transitions, we first developed a general trajectory entropy functional for over-damped Langevin dynamics. This functional allows for evaluation of the information content in the dynamic trajectory ensemble. Next, we present a path integral statistical learning approach to infer the hidden trajectory from the data of smFRET measurements of protein dynamics. This methodology also yields a likelihood for the parameters of the equation of motion that can then be optimized to deduce the most probable profiles of mean force and diffusion coefficient for describing the observed dynamical data. To provide a solid foundation for regularizing the parameters derived from experimental trajectories through statistical learning, the Fisher information metric of Langevin dynamics trajectories is derived via an eigenbasis representation of the time propagator. Using this Fisher information, the maximum entropy distributions for various kinetic constraints can derived for the first time. Finally the knowledge of trajectory entropy and likelihood of smFRET measurements is combined to present a new calculus of representing the Information Thermodynamics in statistical learning. Bayesian analysis using this methodology shows that in the balance between entropy, likelihood, and fluctuations given at the critical point in the phase diagram of information, the ideal force profile and diffusion can be determined from smFRET experiments in a systematic and robust manner.
- Published
- 2013
28. Seizure‐onset regions demonstrate high inward directed connectivity during resting‐state: An SEEG study in focal epilepsy
- Author
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Narasimhan, Saramati, primary, Kundassery, Keshav B., additional, Gupta, Kanupriya, additional, Johnson, Graham W., additional, Wills, Kristin E., additional, Goodale, Sarah E., additional, Haas, Kevin, additional, Rolston, John D., additional, Naftel, Robert P., additional, Morgan, Victoria L., additional, Dawant, Benoit M., additional, González, Hernán F. J., additional, and Englot, Dario J., additional
- Published
- 2020
- Full Text
- View/download PDF
29. Antiplatelet Agents in Sepsis—Putting it all together: A Call to Action
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Tiwari, Nishant R, primary, Chaudhari, Kaustubh S, additional, Haas, Kevin P, additional, and Sharma, Vivek R, additional
- Published
- 2020
- Full Text
- View/download PDF
30. Dominant Wave Energy Systems and Conditional Wave Resource Characterization for Coastal Waters of the United States
- Author
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Ahn, Seongho, primary, Haas, Kevin, additional, and Neary, Vincent, additional
- Published
- 2020
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- View/download PDF
31. Modeling Assessment of Tidal Energy Extraction in the Western Passage
- Author
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Yang, Zhaoqing, primary, Wang, Taiping, additional, Xiao, Ziyu, additional, Kilcher, Levi, additional, Haas, Kevin, additional, Xue, Huijie, additional, and Feng, Xi, additional
- Published
- 2020
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32. Copepod Behavior Responses Around Internal Waves
- Author
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Mohaghar, Mohammad, primary, Jung, Seongyu, additional, Haas, Kevin A., additional, and Webster, Donald R., additional
- Published
- 2020
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- View/download PDF
33. Microscopic kinetic determinants of macroscopic currents: insights from coupling and uncoupling of GABAA receptor desensitization and deactivation
- Author
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Bianchi, Matt T., Botzolakis, Emmanuel J., Haas, Kevin F., Fisher, Janet L., and Macdonald, Robert L.
- Published
- 2007
34. Software-Assisted Manual Review of Clinical Next-Generation Sequencing Data
- Author
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Muzzey, Dale, primary, Kash, Shera, additional, Johnson, Jillian I., additional, Melroy, Laura M., additional, Kaleta, Piotr, additional, Pierce, Kelly A., additional, Ready, Kaylene, additional, Kang, Hyunseok P., additional, and Haas, Kevin R., additional
- Published
- 2019
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35. Erratum : De Novo Mutations in Synaptic Transmission Genes Including DNM1 Cause Epileptic Encephalopathies (American Journal of Human Genetics (2014) 95(4) (360–370)(S0002929714003838)(10.1016/j.ajhg.2014.08.013))
- Author
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Appenzeller, Silke, Balling, Rudi, Barisic, Nina, Baulac, Stéphanie, Caglayan, Hande, Craiu, Dana, De Jonghe, Peter, Depienne, Christel, Dimova, Petia, Djémié, Tania, Gormley, Padhraig, Guerrini, Renzo, Helbig, Ingo, Hjalgrim, Helle, Hoffman-Zacharska, Dorota, Jähn, Johanna A., Klein, Karl Martin, Koeleman, Bobby, Komarek, Vladimir, Krause, Roland, Kuhlenbäumer, Gregor, Leguern, Eric, Lehesjoki, Anna-Elina, Lemke, Johannes R., Lerche, Holger, Linnankivi, Tarja, Marini, Carla, May, Patrick, Møller, Rikke S., Muhle, Hiltrud, Pal, Deb, Palotie, Aarno, Pendziwiat, Manuela, Robbiano, Angela, Roelens, Filip, Rosenow, Felix, Selmer, Kaja, Serratosa, Jose M., Sisodiya, Sanjay M., Stephani, Ulrich, Sterbova, Katalin, Striano, Pasquale, Suls, Arvid, Talvik, Tiina, von Spiczak, Sarah, Weber, Yvonne G., Weckhuysen, Sarah, Zara, Federico, Abou-Khalil, Bassel, Alldredge, Brian K., Andermann, Eva, Andermann, Frederick, Amrom, Dina, Bautista, Jocelyn F., Berkovic, Samuel F., Bluvstein, Judith, Boro, Alex, Cascino, Gregory, Consalvo, Damian, Crumrine, Patricia, Devinsky, Orrin, Dlugos, Dennis, Epstein, Michael P., Fiol, Miguel, Fountain, Nathan B., French, Jacqueline, Friedman, Daniel, Geller, Eric B., Glauser, Tracy, Glynn, Simon, Haas, Kevin, Haut, Sheryl R., Hayward, Jean, Helmers, Sandra L., Joshi, Sucheta, Kanner, Andres, Kirsch, Heidi E., Knowlton, Robert C., Kossoff, Eric H., Kuperman, Rachel, Kuzniecky, Ruben, Lowenstein, Daniel H., McGuire, Shannon M., Motika, Paul V., Novotny, Edward J., Ottman, Ruth, Paolicchi, Juliann M., Parent, Jack, Park, Kristen, Poduri, Annapurna, Sadleir, Lynette G., Scheffer, Ingrid E., Shellhaas, Renée A, Sherr, Elliott, Shih, Jerry J., Singh, Rani, Sirven, Joseph, Smith, Michael C., Sullivan, Joe, Thio, Liu Lin, Venkat, Anu, Vining, Eileen P. G., Von Allmen, Gretchen K., Weisenberg, Judith L., Widdess-Walsh, Peter, Winawer, Melodie R., Allen, Andrew S., Cossette, Patrick, Delanty, Norman, Eichler, Evan E., Goldstein, David B., Han, Yujun, Heinzen, Erin L., Johnson, Michael R., Marson, Anthony G., Mefford, Heather C., Nieh, Sahar Esmaeeli, O'Brien, Terence J., Petrou, Stephen, Petrovski, Slavé, and Ruzzo, Elizabeth K.
- Subjects
Genetics ,Genetics(clinical) - Abstract
(The American Journal of Human Genetics 95, 360–370; October 2, 2014) In the list of consortium members for the Epilepsy Phenome/Genome Project, member Dina Amrom's name was misspelled as Amron. The authors regret the error.
- Published
- 2017
36. Application of rare variant transmission disequilibrium tests to epileptic encephalopathy trio sequence data
- Author
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Allen, Andrew S, Berkovic, Samuel F, Bridgers, Joshua, Cossette, Patrick, Dlugos, Dennis, Epstein, Michael P, Glauser, Tracy, Goldstein, David B, Heinzen, Erin L, Jiang, Yu, Johnson, Michael R, Kuzniecky, Ruben, Lowenstein, Daniel H, Marson, Anthony G, Mefford, Heather C, O'Brien, Terence J, Ottman, Ruth, Petrou, Steven, Petrovski, Slave, Poduri, Annapurna, Ren, Zhong, Scheffer, Ingrid E, Sherr, Elliott, Wang, Quanli, Balling, Rudi, Barisic, Nina, Baulac, Stephanie, Caglayan, Hande, Craiu, Dana, De Jonghe, Peter, Depienne, Christel, Guerrini, Renzo, Helbig, Ingo, Hjalgrim, Helle, Hoffman-Zacharska, Dorota, Jaehn, Johanna, Klein, Karl Martin, Koeleman, Bobby, Komarek, Vladimir, Krause, Roland, Leguern, Eric, Lehesjoki, Anna-Elina, Lemke, Johannes R, Lerche, Holger, Linnankivi, Tarja, Marini, Carla, May, Patrick, Moller, Rikke S, Muhle, Hiltrud, Pal, Deb, Palotie, Aarno, Rosenow, Felix, Selmer, Kaja, Serratosa, Jose M, Sisodiya, Sanjay, Stephani, Ulrich, Sterbova, Katalin, Striano, Pasquale, Suls, Arvid, Talvik, Tiina, von Spiczak, Sarah, Weber, Yvonne, Weckhuysen, Sarah, Zara, Federico, Abou-Khalil, Bassel, Alldredge, Brian K, Amrom, Dina, Andermann, Eva, Andermann, Frederick, Bautista, Jocelyn F, Bluvstein, Judith, Cascino, Gregory D, Consalvo, Damian, Crumrine, Patricia, Devinsky, Orrin, Fiol, Miguel E, Fountain, Nathan B, French, Jacqueline, Friedman, Daniel, Haas, Kevin, Haut, Sheryl R, Hayward, Jean, Joshi, Sucheta, Kanner, Andres, Kirsch, Heidi E, Kossoff, Eric H, Kuperman, Rachel, McGuire, Shannon M, Motika, Paul V, Novotny, Edward J, Paolicchi, Juliann M, Parent, Jack, Park, Kristen, Shellhaas, Renee A, Sirven, Joseph, Smith, Michael C, Sullivan, Joseph, Thio, Liu Lin, Venkat, Anu, Vining, Eileen PG, Von Allmen, Gretchen K, Weisenberg, Judith L, Widdess-Walsh, Peter, Winawer, Melodie R, Consortium, Epi4K, Consortium, EuroEPINOMICS-RES, Project, Epilepsy Phenome Genome, Epi4K Consortium, EuroEPINOMICS- RES Consortium, and Epilepsy Phenome Genome Project
- Subjects
0301 basic medicine ,Linkage disequilibrium ,medicine.medical_specialty ,genetic structures ,Population ,Disequilibrium ,Short Report ,Genome-wide association study ,Biology ,Bioinformatics ,Linkage Disequilibrium ,03 medical and health sciences ,0302 clinical medicine ,Gene Frequency ,Epilepsy Phenome/Genome Project ,medicine ,Genetics ,Journal Article ,Humans ,Genetics(clinical) ,Genetic Predisposition to Disease ,education ,Genetics (clinical) ,education.field_of_study ,Polymorphism, Genetic ,Lennox Gastaut Syndrome ,Infant ,Transmission disequilibrium test ,medicine.disease ,Multicenter Study ,Chemistry ,030104 developmental biology ,Medical genetics ,Human medicine ,medicine.symptom ,Spasms, Infantile ,030217 neurology & neurosurgery ,Lennox–Gastaut syndrome ,Genome-Wide Association Study - Abstract
The classic epileptic encephalopathies, including infantile spasms (IS) and Lennox-Gastaut syndrome (LGS), are severe seizure disorders that usually arise sporadically. De novo variants in genes mainly encoding ion channel and synaptic proteins have been found to account for over 15% of patients with IS or LGS. The contribution of autosomal recessive genetic variation, however, is less well understood. We implemented a rare variant transmission disequilibrium test (TDT) to search for autosomal recessive epileptic encephalopathy genes in a cohort of 320 outbred patient-parent trios that were generally prescreened for rare metabolic disorders. In the current sample, our rare variant transmission disequilibrium test did not identify individual genes with significantly distorted transmission over expectation after correcting for the multiple tests. While the rare variant transmission disequilibrium test did not find evidence of a role for individual autosomal recessive genes, our current sample is insufficiently powered to assess the overall role of autosomal recessive genotypes in an outbred epileptic encephalopathy population.
- Published
- 2017
37. Validation of an Expanded Carrier Screen that Optimizes Sensitivity via Full-Exon Sequencing and Panel-wide Copy Number Variant Identification
- Author
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Hogan, Gregory J, primary, Vysotskaia, Valentina S, primary, Beauchamp, Kyle A, primary, Seisenberger, Stefanie, primary, Grauman, Peter V, primary, Haas, Kevin R, primary, Hong, Sun Hae, primary, Jeon, Diana, primary, Kash, Shera, primary, Lai, Henry H, primary, Melroy, Laura M, primary, Theilmann, Mark R, primary, Chu, Clement S, primary, Iori, Kevin, primary, Maguire, Jared R, primary, Evans, Eric A, primary, Haque, Imran S, primary, Mar-Heyming, Rebecca, primary, Kang, Hyunseok P, primary, and Muzzey, Dale, primary
- Published
- 2018
- Full Text
- View/download PDF
38. Development and validation of a 36-gene sequencing assay for hereditary cancer risk assessment
- Author
-
Vysotskaia, Valentina S., primary, Hogan, Gregory J., additional, Gould, Genevieve M., additional, Wang, Xin, additional, Robertson, Alex D., additional, Haas, Kevin R., additional, Theilmann, Mark R., additional, Spurka, Lindsay, additional, Grauman, Peter V., additional, Lai, Henry H., additional, Jeon, Diana, additional, Haliburton, Genevieve, additional, Leggett, Matt, additional, Chu, Clement S., additional, Iori, Kevin, additional, Maguire, Jared R., additional, Ready, Kaylene, additional, Evans, Eric A., additional, Kang, Hyunseok P., additional, and Haque, Imran S., additional
- Published
- 2017
- Full Text
- View/download PDF
39. De Novo Mutations in Synaptic Transmission Genes Including DNM1 Cause Epileptic Encephalopathies
- Author
-
Appenzeller, Silke, primary, Balling, Rudi, additional, Barisic, Nina, additional, Baulac, Stéphanie, additional, Caglayan, Hande, additional, Craiu, Dana, additional, De Jonghe, Peter, additional, Depienne, Christel, additional, Dimova, Petia, additional, Djémié, Tania, additional, Gormley, Padhraig, additional, Guerrini, Renzo, additional, Helbig, Ingo, additional, Hjalgrim, Helle, additional, Hoffman-Zacharska, Dorota, additional, Jähn, Johanna, additional, Klein, Karl Martin, additional, Koeleman, Bobby, additional, Komarek, Vladimir, additional, Krause, Roland, additional, Kuhlenbäumer, Gregor, additional, Leguern, Eric, additional, Lehesjoki, Anna-Elina, additional, Lemke, Johannes R., additional, Lerche, Holger, additional, Linnankivi, Tarja, additional, Marini, Carla, additional, May, Patrick, additional, Møller, Rikke S., additional, Muhle, Hiltrud, additional, Pal, Deb, additional, Palotie, Aarno, additional, Pendziwiat, Manuela, additional, Robbiano, Angela, additional, Roelens, Filip, additional, Rosenow, Felix, additional, Selmer, Kaja, additional, Serratosa, Jose M., additional, Sisodiya, Sanjay, additional, Stephani, Ulrich, additional, Sterbova, Katalin, additional, Striano, Pasquale, additional, Suls, Arvid, additional, Talvik, Tiina, additional, von Spiczak, Sarah, additional, Weber, Yvonne, additional, Weckhuysen, Sarah, additional, Zara, Federico, additional, Abou-Khalil, Bassel, additional, Alldredge, Brian K., additional, Andermann, Eva, additional, Andermann, Frederick, additional, Amrom, Dina, additional, Bautista, Jocelyn F., additional, Berkovic, Samuel F., additional, Bluvstein, Judith, additional, Boro, Alex, additional, Cascino, Gregory, additional, Consalvo, Damian, additional, Crumrine, Patricia, additional, Devinsky, Orrin, additional, Dlugos, Dennis, additional, Epstein, Michael P., additional, Fiol, Miguel, additional, Fountain, Nathan B., additional, French, Jacqueline, additional, Friedman, Daniel, additional, Geller, Eric B., additional, Glauser, Tracy, additional, Glynn, Simon, additional, Haas, Kevin, additional, Haut, Sheryl R., additional, Hayward, Jean, additional, Helmers, Sandra L., additional, Joshi, Sucheta, additional, Kanner, Andres, additional, Kirsch, Heidi E., additional, Knowlton, Robert C., additional, Kossoff, Eric H., additional, Kuperman, Rachel, additional, Kuzniecky, Ruben, additional, Lowenstein, Daniel H., additional, McGuire, Shannon M., additional, Motika, Paul V., additional, Novotny, Edward J., additional, Ottman, Ruth, additional, Paolicchi, Juliann M., additional, Parent, Jack, additional, Park, Kristen, additional, Poduri, Annapurna, additional, Sadleir, Lynette, additional, Scheffer, Ingrid E., additional, Shellhaas, Renée A., additional, Sherr, Elliott, additional, Shih, Jerry J., additional, Singh, Rani, additional, Sirven, Joseph, additional, Smith, Michael C., additional, Sullivan, Joe, additional, Thio, Liu Lin, additional, Venkat, Anu, additional, Vining, Eileen P.G., additional, Von Allmen, Gretchen K., additional, Weisenberg, Judith L., additional, Widdess-Walsh, Peter, additional, Winawer, Melodie R., additional, Allen, Andrew S., additional, Cossette, Patrick, additional, Delanty, Norman, additional, Eichler, Evan E., additional, Goldstein, David B., additional, Han, Yujun, additional, Heinzen, Erin L., additional, Johnson, Michael R., additional, Marson, Anthony G., additional, Mefford, Heather C., additional, Nieh, Sahar Esmaeeli, additional, O’Brien, Terence J., additional, Petrou, Stephen, additional, Petrovski, Slavé, additional, and Ruzzo, Elizabeth K., additional
- Published
- 2017
- Full Text
- View/download PDF
40. Modeling Impacts of Energy Extraction from the Gulf Stream System
- Author
-
Haas, Kevin A., Yang, Xiufeng, Fritz, Hermann M., and Marine Energy Technology Symposium
- Subjects
Ocean currents ,Hybrid coordinate ocean model ,Gulf stream ,Power extraction ,Wave energy conversion - Abstract
Ocean currents are an attractive source of clean energy due to their inherent reliability, persistence and sustainability. The Gulf Stream system, particularly the Florida Current, is of interest as a potential energy resource for some coastal states within the USA. However, little is known about the potential impacts of extracting energy from this unconfined flow field. The presented study takes two approaches to evaluate the modifications of the flow field upon extraction of significant energy from the Florida Current. First, the theoretical momentum balance in the Gulf Stream system is examined using the two-dimensional ocean circulation equations based on the assumptions of the Stommel model for subtropical gyres with additional turbine drag formulated and incorporated into the model to represent power extraction by turbines. The impact of the extraction is evaluated by examining the new circulation patterns such as the flow diversion around the turbine extraction region. Secondly, a full numerical simulation of the ocean circulation in the Atlantic Ocean is performed using Hybrid Coordinate Ocean Model (HYCOM) and power extraction from the Florida Current is modeled as additional momentum sink. Various scenarios with different turbine distributions are tested. Effects of power extraction are shown to include flow rerouting from the Florida Strait channel to the east side of the Bahamas. Other effects, such as changes to the residual kinetic energy as well as the water level variations are also evaluated for different scenarios. U.S. Department of Energy Wind and Water Power Program DE-EE0002661
- Published
- 2014
41. Analysis of Trajectory Entropy for Continuous Stochastic Processes at Equilibrium
- Author
-
Haas, Kevin R., primary, Yang, Haw, additional, and Chu, Jhih-Wei, additional
- Published
- 2014
- Full Text
- View/download PDF
42. Cough syncope in a 43-year-old woman with glomus jugulare tumor
- Author
-
Bandyopadhyay, Susanta, primary, Sonmezturk, Hasan, additional, Abou-Khalil, Bassel, additional, and Haas, Kevin F., additional
- Published
- 2014
- Full Text
- View/download PDF
43. Expectation-Maximization of the Potential of Mean Force and Diffusion Coefficient in Langevin Dynamics from Single Molecule FRET Data Photon by Photon
- Author
-
Haas, Kevin R., primary, Yang, Haw, additional, and Chu, Jhih-Wei, additional
- Published
- 2013
- Full Text
- View/download PDF
44. Carolinas Coastal Change Processes Project data report for nearshore observations at Cape Hatteras, North Carolina
- Author
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Armstrong, Brandy N., primary, Warner, John C., additional, Voulgaris, George, additional, List, Jeffrey H., additional, Thieler, Robert, additional, Martini, Marinna A., additional, Montgomery, Ellyn T., additional, McNinch, Jesse E., additional, Book, Jeffrey W., additional, and Haas, Kevin, additional
- Published
- 2013
- Full Text
- View/download PDF
45. Roles of ubiquitination at the synapse
- Author
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Haas, Kevin F., primary and Broadie, Kendal, additional
- Published
- 2008
- Full Text
- View/download PDF
46. South Carolina Coastal Erosion Study: Data report for observations, October 2003 - April 2004
- Author
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Sullivan, Charlene M., primary, Warner, John C., additional, Martini, Marinna A., additional, Voulgaris, George, additional, Work, Paul, additional, Haas, Kevin A., additional, and Hanes, Daniel, additional
- Published
- 2006
- Full Text
- View/download PDF
47. Process Based Modeling of Total Longshore Sediment Transport
- Author
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Haas, Kevin A., primary and Hanes, Daniel M., additional
- Published
- 2004
- Full Text
- View/download PDF
48. Debris & restoration
- Author
-
Haas, Kevin and Haas, Kevin
- Abstract
The small, manila envelope contains 17 puzzle pieces.; The black and white imagery appears to be a snapshot of a starry night that has been reproduced on a photocopier.; The envelope illustrated with photographic image of construction debris., Joan Flasch Artists' Book Collection
- Published
- 1997
49. Structural Determinants of Fast Desensitization and Desensitization–Deactivation Coupling in GABAAReceptors
- Author
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Bianchi, Matt T., primary, Haas, Kevin F., additional, and Macdonald, Robert L., additional
- Published
- 2001
- Full Text
- View/download PDF
50. Analysis of Trajectory Entropy for Continuous StochasticProcesses at Equilibrium.
- Author
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Haas, Kevin R., Yang, Haw, and Chu, Jhih-Wei
- Subjects
- *
STOCHASTIC processes , *LANGEVIN equations , *FOKKER-Planck equation , *PROBABILITY density function , *QUANTITATIVE research , *BIOMOLECULES - Abstract
The analytical expression for thetrajectory entropy of the overdampedLangevin equation is derived via two approaches. The first route goesthrough the Fokker–Planck equation that governs the propagationof the conditional probability density, while the second method goesthrough the path integral of the Onsager–Machlup action. Theagreement of these two approaches in the continuum limit underscoresthe equivalence between the partial differential equation and thepath integral formulations for stochastic processes in the contextof trajectory entropy. The values obtained using the analytical expressionare also compared with those calculated with numerical solutions forarbitrary time resolutions of the trajectory. Quantitative agreementis clearly observed consistently across different models as the timeinterval between snapshots in the trajectories decreases. Furthermore,analysis of different scenarios illustrates how the deterministicand stochastic forces in the Langevin equation contribute to the variationin dynamics measured by the trajectory entropy. [ABSTRACT FROM AUTHOR]
- Published
- 2014
- Full Text
- View/download PDF
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