8 results on '"Scharf L"'
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2. The Unified Protocol as an Internet-based Intervention for Emotional Disorders: Randomized Controlled Trial
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Schaeuffele C, Homeyer Sl, Knaevelsrud C, Renneberg B, Perea L, Boettcher J, Schulz A, and Scharf L
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Protocol (science) ,medicine.medical_specialty ,Randomized controlled trial ,business.industry ,law ,Internet based ,Intervention (counseling) ,Physical therapy ,Medicine ,business ,law.invention - Abstract
The Unified Protocol (UP) as a transdiagnostic intervention has primarily been applied in the treatment of anxiety disorders and in face-to-face-settings. The current study investigated the efficacy of a 10-week internet-based adaptation of the UP for anxiety, depressive, and somatic symptom disorders. N=129 participants were randomized to treatment or waitlist control. Linear mixed effect models revealed significant treatment effects for symptom distress, satisfaction with life, positive/negative affect and markers of anxiety, depression, and somatic symptom burden (within-group Hedges’ g = 0.32-1.38 and between-group g = 0.20-1.11). Treatment gains were maintained at 1- and 6-month-follow-up. Subgroup analyses showed comparable effects in participants with anxiety and depressive disorders. The results strengthen the application of the UP as an internet-based treatment for alleviating symptom distress across emotional disorders. More research on the applicability for single disorders and the mechanisms underlying the effects is needed.
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- 2020
3. P003 Implementation of High Throughput Parallel Sequencing in a Diagnostic Setting: Multiplexed Amplicon Sequencing of the Breast Cancer Genes BRCA1 and 2
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Zogopoulos G, Tomi Pastinen, Sivanandan K, Vaca F, Kinoshita T, Johannes B, Leguis E, Jansen-van der Weide M, Learn L, Godlewski D, Ed Saunders, Montserrat Rué, Vaisman A, de Bock G, Ángel Segura, Sabbaghian N, Mohammad Amin Kerachian, Pelletier S, Metcalfe K, Lilge L, Stockle E, Cheng S, Burger C, Woike A, Michelle Guy, Ragone A, Y. J. Bignon, Bronkhorst Y, Patricia N. Tonin, Lima M, Mieke Kriege, Karsan A, Zweemer R, Prady C, Beattie M, Panchal S, Kathleen Claes, van Zon P, Diane Provencher, Ummels A, Kang I, Shumak R, Arcusa Â, Yosr Hamdi, Alonso Mc, Dolman L, Houssami N, Olivier Delattre, Yannick Bidet, Claude Houdayer, Mercedes Durán, Ganschow P, Isabel Chirivella, Domingo S, Rebsamen M, Giustina Simone, Orland Diez, Chapman J, An tSaoir C, Jeanna McCuaig, Blayney J, Bosdet I, Treacy R, Esther Darder, Ando J, Luc Dehaspe, García-Casado Z, Duffy J, Harkin D, Z Kote-Jarai, Kasamatsu T, Ulf Kristoffersson, Membrez, Priston M, Noreau-Heisz D, Trivedi A, Begoña Graña, Ghadirian P, Ashuryk O, Consol López, Wenzel L, Vogel R, Joseph G, Poll A, Kennedy R, Patton S, Pérez C, Mónica Cornet, Panighetti A, Cassart P, Burke K, Mes-Masson A, Llacuachaqui M, Marc Tischkowitz, Wong N, Arcand S, Kotsopoulos J, Meschino W, Hall A, Marles S, Docking R, Haroun I, Marie Plante, Rachel Laframboise, Daniel Sinnett, Luce J, Sekiguchi I, Edenir Inêz Palmero, de Winter J, Christopher J. Lord, Hamel N, Pruski-Clark J, Lee D, Rusnak A, Carson N, Marta Santamariña, Knoppers B, Oakhill K, Bruce R. Rosen, Pierre O. Chappuis, Bruce Poppe, Stanislaw C, Catts Z, Brood M, van der Wall E, Yip C, Christine Walsh, Hoodfar E, Pressman A, Andrulis I, Alicia Barroso, D. Leongamornlert, Gillian Mitchell, Akira Hirasawa, Shen Z, Sameer Parpia, Horgan M, van Echtelt J, Chun K, Lubinski J, Rebecca Sutphen, Terespolsky D, Richard D, McDyer F, Floquet A, Lambo R, Bathurst L, Brown G, Kidd M, Nicolas Sevenet, Mourits M, Vencken P, Tatiana Popova, Garcia N, Armel S, van Amstel H, Valentini A, Ellen Warner, Hofland N, Hanna D, Kim J, Osann K, Enmore M, Loranger K, Sulivan I, J. Oliveira, Meijers H, Jansen R, Edmundo Carvalho Mauad, Kirkpatrick R, Danilo V Viana, Ian G. Campbell, Mil S, E J Sawyer, J. Balmaña, Samra Turajlic, Graham G, Alonso C, Inanc Birol, Sinclair F, van Tuil M, Pascual Bolufer, Micheli R, Andrew R. Green, Junyent N, Whittaker J, Monnerat C, Rhéaume J, Livingston D, Chan S, L. Ramadan, Lee R, Katarzyna Durda, De Leeneer K, Grados C, Côté C, Kyle B. Matchett, Robert Winqvist, Bonner D, Brunella Pilato, Mohd Taib N, Judy Garber, Kleiderman E, Murakami S, Sharifi N, Kimberley Hill, Desbiens C, Robert Royer, Jasperson K, Hsieh S, De Summa S, Dominique Stoppa-Lyonnet, de Lima J, Stuart McIntosh, Shakeri M, Wendy Kohlmann, Albert-Green A, de Hullu J, Pasick R, Avard D, Pathania S, van der Groep P, Laura Fachal, Bruno Zeitouni, Susan M. Domchek, Davey S, Richard Marais, Powell C, Hans J. J. P. Gille, Greenberg R, Kamata H, Cina, Gaarenstroom K, Lakhal Chaieb M, Kavanagh L, Gaelle Benais-Pont, Sun P, Jansen L, Matthew Parker, Barjhoux L, Russ H, Simon J. Furney, Willems A, Robb L, David E. Goldgar, Young S, Natalia Campacci, Mark G. Thomas, Doug Easton, Klugman S, Barrault M, Calvo N, Adriana C. Flora, Littell R, Narod S, Fragoso, N. Bosch, Finch A, Paul M. Wilkerson, Teo S, Tomasz Huzarski, Manuel Salto-Tellez, Moseley M, Davis S, Olga M. Sinilnikova, Iturbe A, Joan Brunet, Tierney M, Tsai E, Navarro de Souza A, Leclerc M, Lorenzo Manti, Gutiérrez-Enríquez S, Milewski B, Simon S. McDade, Kaplan C, Buckley N, Eva Esteban-Cardeñosa, Richter S, Shimizu C, Li J, Elena Castro, Iwanka Kozarewa, Harley I, Atocha Romero, Carlos E. Andrade, Carole Verny-Pierre, Barouk E, Vian D, Montserrat Baiget, Chan J, Sandra Bonache, Andrew Y Shuen, van der Merwe N, Kaklewski K, Mohar A, Tamura C, Heale E, Rooyadeh M, van Asperen C, Gemma Llort, Alan Mackay, Denroche R, Seelaus C, Zbuk K, McCluggage W, van der Luijt R, Maaike P.G. Vreeswijk, Edelweiss M, Crossan G, Arseneau J, Ambus I, Verheul H, Rodrigo Augusto Depieri Michelli, Juul T. Wijnen, Gross-Lester J, Britta Weigelt, Pedro Pérez-Segura, Richard A. Moore, Cornelissen C, Larouche G, McAlpine J, Daniel Nava Rodrigues, Trim L, Furnival J, Elser C, Muszyńka M, Adriana Lasa, Tuya Pal, Greuter. M, Ng K, Dorval M, Bresee C, Reimnitz G, Gaëtan MacGrogan, Perry Maxwell, Barnadas A, Hwang E, Powell B, Knapke S, Griskevicius. L, Alvarez R, Mester J, Anne-Bine Skytte, Eladio Velasco, Vidal S, Australie K, Leunen K, Ben-Yishay M, Van Houdt J, Phuah S, Amy E Taylor, Pinto R, Fonseca T, Champine M, Gammon A, Hollema H, Menko F, Feng B, David Olmos, Chong G, Tomasz Byrski, Patrick J. Morrison, Gregoire J, André Lopes Carvalho, Don B. Plewes, Rabeneck L, Carrol J, Alan Ashworth, Terlinge A, A Jakubowska, Odette Mariani, Setareh Moghadasi, Reitsma W, Rothenmund H, Herrera L, Anna Tenés, Angel Izquierdo, Asunción Torres, Stawicka M, Goh C, Hirst M, Drummond J, Osorio A, Ostrovsky R, Jeffrey N. Weitzel, Gareth W. Irwin, Fehniger J, Sugano K, Spriggs E, Dęniak T, Volenik A, Thorne H, Piccinin C, Amie Blanco, Jinno H, Robert A. Holt, Stephen B. Fox, Julia J. Gorski, Gilpin C, Herschorn S, Vega A, E. Page, Hamet P, McKenna D, Fabrice Bonnet, Yoshida T, Kienan I. Savage, Petzel S, Elizabeth Bancroft, Schneider S, Warwick L, Stewart S, William D. Foulkes, Colizza K, Bell K, Demsky R, Malgorzata Tymrakiewicz, Caldés T, Fons G, Bowen D, Côté S, Clouston D, Kitagawa Y, Gordon Glendon, Jenny Lester, Kinney A, Nelson E, Silke Hollants, Macrae L, Cajal T, Andrew J. Mungall, Ferrell B, Creighton B, Bressler L, Uy P, Makishima K, Haffaf Z, Ramūnas Janavičius, Einstein G, Zakalik D, Chiarelli A, Cantu D, Croce S, Kalloger S, Lin F, Ian O. Ellis, Benedito Mauro Rossi, R A Wilkinson, Mulligan J, Murphy J, Vadaparampil S, Smith E, Slangen B, Loiselle C, Iqbal J, Palma L, Cooper K, Jorge S. Reis-Filho, Chen. L, Quinten Waisfisz, Haneda E, Banks P, Vermeulen K, Visser B, Montalbán G, McCabe N, Honeyford J, Naseri S, Ng J, Ali A, Sandrine Viala, Mensa I, Kamarainen O, Guerra C, Mazzola E, David A. Schwartz, Marjanka K. Schmidt, Simon R, Fergus J. Couch, Margreet G. E. M. Ausems, Anne Vincent-Salomon, Olinski R, Zewald R, Moreno R, Semple J, McPherson J, Lamers E, Kharbanda A, Kessler L, Biemans D, Au A, Bordeleau L, Jean Feunteun, Mar Infante, Mullan P, Rudaitis, Molenda A, Rachael Natrajan, Pawar, Boman B, Kok T, Andrew A. Brown, Geller M, Monfared N, Bart J, Murata P, Crawford N, Butterfield Y, Bargalló J, Katherine L. Tucker, Cook-Wiens G, Rhodes A, Elodie Manié, Rubio E, Oram L, Shandiz F, Hayden R, Crawford B, Parmigiani G, Harkin P, Müller C, Grant M, Maryou B. Lambros, Thong M, Grzegorz Sukiennicki, Wouts J, Haddock P, Ramon y Cajal T, Kenneth C. Anderson, Michel Longy, Batiste W, Carroll J, Matte C, Hojyo T, Zhao Y, Caroline Seynaeve, Wai P, Simard J, Hurley K, Bolton D, Karlan B, Javier Benítez, Miriam Masas, Tołczko-Grabarek A, de Dueñas E, Geneviève Michils, Moncoutier, Nancy Uhrhammer, MacDonald D, Keyserlingk J, Osher D, Gilks C, Christopher T. Elliott, Scharf L, Gabram-Mendola S, Grondin K, Dohany L, van Diest P, Joris Vermeesch, Jan C. Oosterwijk, M’Baïlara K, DePuit M, Jacek Gronwald, Stefania Tommasi, de la Hoya M, Bouchard K, Black L, Lui M, Soucy P, Rosalind A. Eeles, Gert Matthijs, Graham T, Andrea Eisen, Bacha O, Alvaro N.A. Monteiro, Yoon S, Caron T, Smith D, Marc-Henri Stern, Hampson E, Kurz R, Gaasbeek W, Mundt E, Angela Velasco, Quinn J, Jocelyne Chiquette, Marquez T, Adam B. Murphy, Bakker J, Neus Gadea, Anita Grigoriadis, Aoki D, Dean S, Looi L, Paradiso A, Agostina Stradella, K. Govindasami, Lovell N, Eva Tomiak, Siesling S, Belanger M, Feilotter H, Knight J, Emmanuel Barillot, Huang M, Raquel Andrés, Kang P, Somerman C, Gackowski D, Rimel B, Nakamura S, McClellan K, Barrros E, Henriette Roed Nielsen, Rui Manuel Reis, Greening S, Ayme A, Carmen Guillen, de Vries E, and Katarzyna Jaworska
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Oncology ,Education and Communication ,medicine.medical_specialty ,endocrine system diseases ,medicine.diagnostic_test ,business.industry ,Psycho-Oncology ,medicine.disease ,Meeting Abstracts ,Transcriptome ,Basic Research ,Clinical Management ,Germline mutation ,Breast cancer ,Applied Research ,Internal medicine ,Mutation (genetic algorithm) ,medicine ,Genetic Counselling ,Human genome ,skin and connective tissue diseases ,business ,Ovarian cancer ,Comparative genomic hybridization ,Fluorescence in situ hybridization - Abstract
Background: Germline mutation screening of BRCA1 and BRCA2 genes is performed in suspected familial breast cancer cases, but a causative mutation is found in only 30% of patients. The development of additional methods to identify good candidates for BRCA1 and BRCA2 analysis would therefore increase the efficacy of diagnostic mutation screening. With this in mind, we developed a study to determine molecular signatures of BRCA1—or BRCA2—mutated breast cancers. Materials and Methods: Array-cgh (comparative genomic hybridization) and transcriptomic analysis were performed on a series of 103 familial breast cancers. The series included 7 breast cancers with a BRCA1 mutation and 5 breast cancers with a BRCA2 mutation. The remaining 91 cases were obtained from 73 families selected on the basis of at least 3 affected first-degree relatives or at least 2 affected first-degree relatives with breast cancer at an average age of 45 years. Array-cgh analyses were performed on a 4407 BAC-array (CIT-V8) manufactured by IntegraGen. Transcriptomic analyses were performed using an Affymetrix Human Genome U133 Plus 2.0 chip. Results: Using supervised clustering analyses we identified two transcriptomic signatures: one for BRCA1-mutated breast cancers consisting of 600 probe sets and another for BRCA2-mutated breast cancers also consisting of 600 probes sets. We also defined cgh-array signatures, based on the presence of specific genomic rearrangements, one for BRCA1-mutated breast cancers and one for BRCA2-mutated breast cancers. Conclusions: This study identified molecular signatures of breast cancers with BRCA1 or BRCA2 germline mutations. Genes present in these signatures could be exploited to find new markers for such breast cancers. We also identified specific genomic rearrangements in these breast cancers, which could be screened for in a diagnostic setting using fluorescence in situ hybridization, thus improving patient selection for BRCA1 and BRCA2 molecular genetic analysis.
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- 2009
4. Expression of CD1c enhances human invariant NKT cell activation by α-GalCer
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Fox, L. M., Miksanek, J., May, N. A., Scharf, L., Lockridge, J. L., Veerapen, N., Gurdyal Besra, Adams, E. J., Hudson, A. W., and Gumperz, J. E.
5. Complex time-frequency and dual-frequency spectra of harmonizable processes
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Alfred Hanssen, Larsen, Y., and Scharf, L. L.
- Abstract
Publication in the conference proceedings of EUSIPCO, Viena, Austria, 2004
6. A Unified Theory of Adaptive Subspace Detection. Part II: Numerical Examples
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Pia Addabbo, Danilo Orlando, Giuseppe Ricci, Louis L. Scharf, Addabbo, P., Orlando, D., Ricci, G., and Scharf, L. L.
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Signal Processing (eess.SP) ,Signal Processing ,62-11 ,FOS: Electrical engineering, electronic engineering, information engineering ,G.3 ,Electrical Engineering and Systems Science - Signal Processing ,Electrical and Electronic Engineering - Abstract
This paper is devoted to the performance analysis of the detectors proposed in the companion paper where a comprehensive design framework is presented for the adaptive detection of subspace signals. The framework addresses four variations on subspace detection: the subspace may be known or known only by its dimension; consecutive visits to the subspace may be unconstrained or they may be constrained by a prior probability distribution. In this paper, Monte Carlo simulations are used to compare the generalized likelihood ratio (GLR) detectors derived in [1] with estimate-and-plug (EP) approximations of the GLR detectors. Remarkably, the EP approximations appear here for the first time (at least to the best of the authors' knowledge). The numerical examples indicate that GLR detectors are effective for the detection of partially-known signals affected by inherent uncertainties due to the system or the operating environment. In particular, if the signal subspace is known, GLR detectors tend to outperform EP detectors. If, instead, the signal subspace is known only by its dimension, the performance of GLR and EP detectors is very similar., Comment: 10 pages, 10 figures
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- 2022
- Full Text
- View/download PDF
7. A Unified Theory of Adaptive Subspace Detection. Part I: Detector Designs
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Danilo Orlando, Giuseppe Ricci, Louis L. Scharf, Orlando, D., Ricci, G., and Scharf, L. L.
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Signal Processing (eess.SP) ,Signal Processing ,FOS: Electrical engineering, electronic engineering, information engineering ,Electrical Engineering and Systems Science - Signal Processing ,Electrical and Electronic Engineering - Abstract
This paper addresses the problem of detecting multidimensional subspace signals, which model range-spread targets, in noise of unknown covariance. It is assumed that a primary channel of measurements, possibly consisting of signal plus noise, is augmented with a secondary channel of measurements containing only noise. The noises in these two channels share a common covariance matrix, up to a scale, which may be known or unknown. The signal model is a subspace model with variations: the subspace may be known or known only by its dimension; consecutive visits to the subspace may be unconstrained or they may be constrained by a prior distribution. As a consequence, there are four general classes of detectors and, within each class, there is a detector for the case where the scale between the primary and secondary channels is known, and for the case where this scale is unknown. The generalized likelihood ratio (GLR) based detectors derived in this paper, when organized with previously published GLR detectors, comprise a unified theory of adaptive subspace detection from primary and secondary channels of measurements.
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- 2021
- Full Text
- View/download PDF
8. GLRT-based direction detectors in noise and subspace interference
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Louis L. Scharf, Giuseppe Ricci, Danilo Orlando, Francesco Bandiera, Olivier Besson, Bandiera, Francesco, Besson, O, Orlando, D, Ricci, Giuseppe, and Scharf, L. L.
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Covariance matrix ,Speech recognition ,Interference (wave propagation) ,Detection ,Noise ,symbols.namesake ,Gaussian noise ,Likelihood-ratio test ,symbols ,A priori and a posteriori ,Detection theory ,Estimation ,Algorithm ,Subspace topology ,Mathematics - Abstract
In this paper we propose decision schemes to distinguish between the H 0 hypothesis that range cells under test contain disturbance only (i.e., noise plus interference) and the H 1 hypothesis that they also contain signal components along a direction which is a priori unknown, but constrained to belong to a given subspace 〈H〉 of the observables. The disturbance is modeled in terms of complex normal noise vectors plus deterministic interference assumed to belong to a known subspace 〈J〉 of the observables. At the design stage we resort to either the plain Generalized Likelihood Ratio Test (GLRT) or the two-step GLRT-based design procedure. Moreover, we assume that a set of noise only (secondary) data is available. A preliminary performance analysis, conducted by resorting to simulated data, shows that the one-step GLRT performs better than the two-step GLRT-based design procedure.
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