5,126 results on '"Gaspero A"'
Search Results
2. Increasing Clinical Trial Participation of Black Women Diagnosed with Breast Cancer
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Fairley, Ricki, Lillard, Jr, James W., Berk, Alexandra, Cornew, Sophia, Gaspero, Joseph, Gillespie, James, Horne, LaTrisha L., Kidane, Sabrina, Munro, Sandra B., Parsons, Matthew, Powers, Emily R., Rizzo, Suzanne E., Tishcler, Alyson, Wohl, Hope, and Weiss, Marisa C.
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- 2024
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3. Single nucleotide polymorphism (SNP) analysis reveals ancestry and genetic diversity of cultivated and wild grapevines in Croatia
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Luka Marinov, Gabriele Magris, Gabriele Di Gaspero, Michele Morgante, Edi Maletić, Marijan Bubola, Ivan Pejić, and Goran Zdunić
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SNP ,V. vinifera ,Genealogical relationships ,GBS ,GWAS ,Botany ,QK1-989 - Abstract
Abstract Background Croatia is a geographically small country with a remarkable diversity of cultivated and spontaneous grapevines. Local germplasm has been characterised by microsatellite markers, but a detailed analysis based on single nucleotide polymorphisms (SNPs) is still lacking. Here we characterize the genetic diversity of 149 accessions from three germplasm repositories and four natural sites using 516,101 SNPs to identify complete parent-offspring trios and their relations with spontaneous populations, offering a proof-of-concept for the use of reduced-representation genome sequencing in population genetics and genome-wide association studies (GWAS). Results Principal component analysis revealed a clear discontinuity between cultivated (V. vinifera subsp. sativa) and spontaneous grapevines, supporting the notion that the latter represent local populations of the wild progenitor (V. vinifera subsp. sylvestris). ADMIXTURE identified three ancestry components. Two sativa components are alternatively predominant in cultivars grown either in northern Adriatic Croatia and Continental Croatia or in Dalmatia (i.e. central and southern Adriatic Croatia). A sylvestris component, which is predominant in accessions from spontaneous populations, is a minor ancestry component in cultivated accessions. TREEMIX provided evidence of unidirectional migration from the vineyards to natural sites, suggesting that gene flow has gone preferentially from the introduced domesticated germplasm into local wild populations rather than vice versa. Identity-by-descent analysis indicated an extensive kinship network, including 14 complete parent-offspring trios, involving only cultivated accessions, six full-sibling relationships and invalidated a presumed pedigree of one of the most important varieties in Croatia, ‘Plavac Mali’. Despite this strong population structure, significant association was found between 143 SNPs and berry skin colour and between 2 SNPs and leaf hairiness, across two previously known genomic regions. Conclusions The clear genetic separation between Croatian cultivars and sylvestris ruled out the hypothesis that those cultivars originated from local domestication events. On the other hand, the evidence of a crop-to-wild gene flow signals the need for an urgent adoption of conservation strategies that preserve the residual genetic integrity of wild relatives. The use of this reduced-representation genome sequencing protocol in grapevine enables an accurate pedigree reconstruction and can be recommended for GWAS experiments.
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- 2024
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4. The mutation process on the ancestral line under selection
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Baake, Ellen, Di Gaspero, Enrico, and Cordero, Fernando
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Mathematics - Probability ,Quantitative Biology - Populations and Evolution ,92D15, 60J27 - Abstract
We consider the Moran model of population genetics with two types, mutation, and selection, and investigate the line of descent of a randomly-sampled individual from a contemporary population. We trace this ancestral line back into the distant past, far beyond the most recent common ancestor of the population (thus connecting population genetics to phylogeny), and analyse the mutation process along this line. To this end, we use the pruned lookdown ancestral selection graph, which consists of a set of potential ancestors of the sampled individual at any given time. Relative to the neutral case (that is, without selection), we obtain a general bias towards the beneficial type, an increase in the beneficial mutation rate, and a decrease in the deleterious mutation rate. This sheds new light on previous analytical results. We discuss our findings in the light of a well-known observation at the interface of phylogeny and population genetics, namely, the difference in the mutation rates (or, more precisely, mutation fluxes) estimated via phylogenetic methods relative to those observed in pedigree studies., Comment: 31 pages, 14 figures
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- 2023
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5. Single nucleotide polymorphism (SNP) analysis reveals ancestry and genetic diversity of cultivated and wild grapevines in Croatia
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Marinov, Luka, Magris, Gabriele, Di Gaspero, Gabriele, Morgante, Michele, Maletić, Edi, Bubola, Marijan, Pejić, Ivan, and Zdunić, Goran
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- 2024
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6. A chromosome-scale assembly reveals chromosomal aberrations and exchanges generating genetic diversity in Coffea arabica germplasm
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Scalabrin, Simone, Magris, Gabriele, Liva, Mario, Vitulo, Nicola, Vidotto, Michele, Scaglione, Davide, Del Terra, Lorenzo, Ruosi, Manuela Rosanna, Navarini, Luciano, Pellegrino, Gloria, Berny Mier y Teran, Jorge Carlos, Toniutti, Lucile, Suggi Liverani, Furio, Cerutti, Mario, Di Gaspero, Gabriele, and Morgante, Michele
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- 2024
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7. Towards a Computational Approach to Quantification of Allele Specific Expression at Population Level.
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Roberto Pagliarini, Fabio Marroni, Carla Piazza, Giovanni Gabelli, Gabriele Magris, Gabriele Di Gaspero, Michele Morgante, and Alberto Policriti
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- 2024
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8. EasyLocal++ a 25-year Perspective on Local Search Frameworks: The Evolution of a Tool for the Design of Local Search Algorithm.
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Sara Ceschia, Francesca Da Ros, Luca Di Gaspero, and Andrea Schaerf
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- 2024
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9. Reducing Energy Consumption in Electronic Component Manufacturing through Large Neighborhood Search.
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Francesca Da Ros, Luca Di Gaspero, Marie-Louise Lackner, and Nysret Musliu
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- 2024
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10. Local Search Algorithms for the Oven Scheduling Problem.
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Francesca Da Ros, Luca Di Gaspero, Marie-Louise Lackner, Nysret Musliu, and Felix Winter
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- 2024
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11. Enhancing Real-World Applicability in Home Healthcare: A Metaheuristic Approach for Advanced Routing and Scheduling.
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Sara Ceschia, Luca Di Gaspero, Simona Mancini, Vittorio Maniezzo, Roberto Montemanni, Roberto Maria Rosati, and Andrea Schaerf
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- 2024
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12. An Empirical Analysis of Tabu Lists.
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Francesca Da Ros and Luca Di Gaspero
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- 2024
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13. Towards a Computational Approach to Quantification of Allele Specific Expression at Population Level
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Pagliarini, Roberto, Marroni, Fabio, Piazza, Carla, Gabelli, Giovanni, Magris, Gabriele, Di Gaspero, Gabriele, Morgante, Michele, Policriti, Alberto, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Rojas, Ignacio, editor, Ortuño, Francisco, editor, Rojas, Fernando, editor, Herrera, Luis Javier, editor, and Valenzuela, Olga, editor
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- 2024
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14. An Empirical Analysis of Tabu Lists
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Da Ros, Francesca, Di Gaspero, Luca, Hartmanis, Juris, Founding Editor, van Leeuwen, Jan, Series Editor, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Kobsa, Alfred, Series Editor, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Nierstrasz, Oscar, Series Editor, Pandu Rangan, C., Editorial Board Member, Sudan, Madhu, Series Editor, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Weikum, Gerhard, Series Editor, Vardi, Moshe Y, Series Editor, Goos, Gerhard, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Sevaux, Marc, editor, Olteanu, Alexandru-Liviu, editor, Pardo, Eduardo G., editor, Sifaleras, Angelo, editor, and Makboul, Salma, editor
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- 2024
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15. Enhancing Real-World Applicability in Home Healthcare: A Metaheuristic Approach for Advanced Routing and Scheduling
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Ceschia, Sara, Di Gaspero, Luca, Mancini, Simona, Maniezzo, Vittorio, Montemanni, Roberto, Rosati, Roberto Maria, Schaerf, Andrea, Hartmanis, Juris, Founding Editor, van Leeuwen, Jan, Series Editor, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Kobsa, Alfred, Series Editor, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Nierstrasz, Oscar, Series Editor, Pandu Rangan, C., Editorial Board Member, Sudan, Madhu, Series Editor, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Weikum, Gerhard, Series Editor, Vardi, Moshe Y, Series Editor, Goos, Gerhard, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Sevaux, Marc, editor, Olteanu, Alexandru-Liviu, editor, Pardo, Eduardo G., editor, Sifaleras, Angelo, editor, and Makboul, Salma, editor
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- 2024
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16. Reinforcement Learning for Multi-Neighborhood Local Search in Combinatorial Optimization
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Ceschia, Sara, Di Gaspero, Luca, Rosati, Roberto Maria, Schaerf, Andrea, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Nicosia, Giuseppe, editor, Ojha, Varun, editor, La Malfa, Emanuele, editor, La Malfa, Gabriele, editor, Pardalos, Panos M., editor, and Umeton, Renato, editor
- Published
- 2024
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17. A chromosome-scale assembly reveals chromosomal aberrations and exchanges generating genetic diversity in Coffea arabica germplasm
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Simone Scalabrin, Gabriele Magris, Mario Liva, Nicola Vitulo, Michele Vidotto, Davide Scaglione, Lorenzo Del Terra, Manuela Rosanna Ruosi, Luciano Navarini, Gloria Pellegrino, Jorge Carlos Berny Mier y Teran, Lucile Toniutti, Furio Suggi Liverani, Mario Cerutti, Gabriele Di Gaspero, and Michele Morgante
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Science - Abstract
Abstract In order to better understand the mechanisms generating genetic diversity in the recent allotetraploid species Coffea arabica, here we present a chromosome-level assembly obtained with long read technology. Two genomic compartments with different structural and functional properties are identified in the two homoeologous genomes. The resequencing data from a large set of accessions reveals low intraspecific diversity in the center of origin of the species. Across a limited number of genomic regions, diversity increases in some cultivated genotypes to levels similar to those observed within one of the progenitor species, Coffea canephora, presumably as a consequence of introgressions deriving from the so-called Timor hybrid. It also reveals that, in addition to few, early-occurring exchanges between homoeologous chromosomes, there are numerous recent chromosomal aberrations including aneuploidies, deletions, duplications and exchanges. These events are still polymorphic in the germplasm and could represent a fundamental source of genetic variation in such a lowly variable species.
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- 2024
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18. Educational Timetabling: Problems, Benchmarks, and State-of-the-Art Results
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Ceschia, Sara, Di Gaspero, Luca, and Schaerf, Andrea
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Computer Science - Artificial Intelligence ,Computer Science - Discrete Mathematics - Abstract
We propose a survey of the research contributions on the field of Educational Timetabling with a specific focus on "standard" formulations and the corresponding benchmark instances. We identify six of such formulations and we discuss their features, pointing out their relevance and usability. Other available formulations and datasets are also reviewed and briefly discussed. Subsequently, we report the main state-of-the-art results on the selected benchmarks, in terms of solution quality (upper and lower bounds), search techniques, running times, statistical distributions, and other side settings.
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- 2022
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19. A Multi-objective Biased Random-Key Genetic Algorithm for the Siting of Emergency Vehicles
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Da Ros, Francesca, Di Gaspero, Luca, La Barbera, David, Della Mea, Vincenzo, Roitero, Kevin, Deroma, Laura, Licata, Sabrina, Valent, Francesca, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Di Gaspero, Luca, editor, Festa, Paola, editor, Nakib, Amir, editor, and Pavone, Mario, editor
- Published
- 2023
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20. The mutation process on the ancestral line under selection
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Baake, E., Cordero, F., and Di Gaspero, E.
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- 2024
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21. Exact and metaheuristic methods for a real-world examination timetabling problem
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Carlsson, Mats, Ceschia, Sara, Di Gaspero, Luca, Mikkelsen, Rasmus Ørnstrup, Schaerf, Andrea, and Stidsen, Thomas Jacob Riis
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- 2023
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22. Reinforcement Learning for Multi-Neighborhood Local Search in Combinatorial Optimization.
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Sara Ceschia, Luca Di Gaspero, Roberto Maria Rosati, and Andrea Schaerf
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- 2023
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23. Exploring the Potential of JuLeS: A White Box Framework for Local Search Metaheuristics.
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Francesca Da Ros and Luca Di Gaspero
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- 2023
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24. Simulated Annealing for the Home Healthcare Routing and Scheduling Problem
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Ceschia, Sara, Di Gaspero, Luca, Schaerf, Andrea, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Dovier, Agostino, editor, Montanari, Angelo, editor, and Orlandini, Andrea, editor
- Published
- 2023
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25. Co-expression of prepulse inhibition and Schizophrenia genes in the mouse and human brain
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Aguilar-Pimental, Juan A., Amarie, Oana V., Becker, Lore, Calzada-Wack, Julia, Da Silva-Buttkus, Patricia, Dragano, Nathalia, Kraiger, Markus, Lengger, Christoph, Leuchtenberger, Stefanie, Marschall, Susan, Oestereicher, Manuela A., Rathkolb, Birgit, Sanz-Moreno, Adrián, Seisenberger, Claudia, Spielmann, Nadine, Stoeger, Claudia, Kumar, Vivek, Keskivali, Piia, King, Ruairidh, Haselimashhadi, Hamed, Bezginov, Alexandr, Norris, Clare, Taylor, Sarah, Pimm, Dale, Kelsey, Lois, Berberovic, Zorana, Qu, Dawei, D'Souza, Abigail, Bradaschia, Vivian, Eskandarian, Mohammed, Shang, Xueyuan, Duffin, Kyle, Roberton, Kyle, Xu, Catherine, Baguinat, Gloria, Laurin, Valerie, Lan, Qing, Sleep, Gillian, Lintott, Lauri, Gertsenstein, Marina, Tondat, Sandra, Cruz, Maribelle, Miller, David, Sorg, Tania, Riet, Fabrice, Tolentino, Heather, Tolentino, Todd, Schuchbauer, Mike, Hockenbury, Nichole, Beeman, Karrie, Pedroia, Sheryl, Salazar, Jason, Heffner, Mollie, Hsu, Joanne, Fletcher, Colin, Vanzanten, Maya, Golini, Elisabetta, Seavitt, John R., Lanza, Denise G., Lorenzo, Isabel, Gaspero, Angelina, Rios, Amanda, Garrett, Lillian, Trümbach, Dietrich, Lee, Donghyung, Mandillo, Silvia, Samaco, Rodney, Flenniken, Ann M., Stewart, Michelle, White, Jacqueline K., McKerlie, Colin, Nutter, Lauryl M.J., Vukobradovic, Igor, Veeraragavan, Surabi, Yuva, Lisa, Heaney, Jason D., Dickinson, Mary E., Meziane, Hamid, Hérault, Yann, Wells, Sara, Lloyd, K.C. Kent, Bower, Lynette, Lanoue, Louise, Clary, Dave, Zimprich, Annemarie, Gailus-Durner, Valerie, Fuchs, Helmut, Brown, Steve D.M., Chesler, Elissa J., Wurst, Wolfgang, Hrabě de Angelis, Martin, and Hölter, Sabine M.
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- 2024
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26. P173: Precision animal modeling and VUS-resolution in a novel AXIN2-related disorder
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Lindsay Burrage, Denise Lanza, Paul Marcogliese, Di Lu, Chih-Wei Logan Hsu, Nathalie Aceves, Matthew Gonzalez, Audrey Christiansen, Tara Rasmussen, Angelina Gaspero, John Seavitt, Mary Dickinson, Brian Shayota, Stephanie Pachter, Debra-Lynn Day-Salvatore, Oguz Kanca, Michael Wangler, Lorraine Potocki, Jill Rosenfeld, Brendan Lee, Shinya Yamamoto, Hugo Bellen, and Jason Heaney
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Genetics ,QH426-470 ,Medicine - Published
- 2024
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27. Targeted sequencing of the Panicum miliaceum gene space and genotyping of variant sites from population genetics studies, combined in a single assay, as a tool for broomcorn millet assisted breeding
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Magris, Gabriele, Foria, Serena, Ciani, Silvano, Santra, Dipak K., Polenghi, Ombretta, Cerne, Virna, Morgante, Michele, and Di Gaspero, Gabriele
- Published
- 2023
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28. Educational timetabling: Problems, benchmarks, and state-of-the-art results
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Ceschia, Sara, Di Gaspero, Luca, and Schaerf, Andrea
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- 2023
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29. Soft windowing application to improve analysis of high-throughput phenotyping data
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Haselimashhadi, Hamed, Mason, Jeremy C, Munoz-Fuentes, Violeta, López-Gómez, Federico, Babalola, Kolawole, Acar, Elif F, Kumar, Vivek, White, Jacqui, Flenniken, Ann M, King, Ruairidh, Straiton, Ewan, Seavitt, John Richard, Gaspero, Angelina, Garza, Arturo, Christianson, Audrey E, Hsu, Chih-Wei, Reynolds, Corey L, Lanza, Denise G, Lorenzo, Isabel, Green, Jennie R, Gallegos, Juan J, Bohat, Ritu, Samaco, Rodney C, Veeraragavan, Surabi, Kim, Jong Kyoung, Miller, Gregor, Fuchs, Helmult, Garrett, Lillian, Becker, Lore, Kang, Yeon Kyung, Clary, David, Cho, Soo Young, Tamura, Masaru, Tanaka, Nobuhiko, Soo, Kyung Dong, Bezginov, Alexandr, About, Ghina Bou, Champy, Marie-France, Vasseur, Laurent, Leblanc, Sophie, Meziane, Hamid, Selloum, Mohammed, Reilly, Patrick T, Spielmann, Nadine, Maier, Holger, Gailus-Durner, Valerie, Sorg, Tania, Hiroshi, Masuya, Yuichi, Obata, Heaney, Jason D, Dickinson, Mary E, Wolfgang, Wurst, Tocchini-Valentini, Glauco P, Lloyd, Kevin C Kent, McKerlie, Colin, Seong, Je Kyung, Yann, Herault, de Angelis, Martin Hrabé, Brown, Steve DM, Smedley, Damian, Flicek, Paul, Mallon, Ann-Marie, Parkinson, Helen, and Meehan, Terrence F
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Biological Sciences ,Genetics ,Animals ,Genetic Association Studies ,Humans ,Mice ,Phenotype ,Population Health ,Software ,Mathematical Sciences ,Information and Computing Sciences ,Bioinformatics ,Biological sciences ,Information and computing sciences ,Mathematical sciences - Abstract
MotivationHigh-throughput phenomic projects generate complex data from small treatment and large control groups that increase the power of the analyses but introduce variation over time. A method is needed to utlize a set of temporally local controls that maximizes analytic power while minimizing noise from unspecified environmental factors.ResultsHere we introduce 'soft windowing', a methodological approach that selects a window of time that includes the most appropriate controls for analysis. Using phenotype data from the International Mouse Phenotyping Consortium (IMPC), adaptive windows were applied such that control data collected proximally to mutants were assigned the maximal weight, while data collected earlier or later had less weight. We applied this method to IMPC data and compared the results with those obtained from a standard non-windowed approach. Validation was performed using a resampling approach in which we demonstrate a 10% reduction of false positives from 2.5 million analyses. We applied the method to our production analysis pipeline that establishes genotype-phenotype associations by comparing mutant versus control data. We report an increase of 30% in significant P-values, as well as linkage to 106 versus 99 disease models via phenotype overlap with the soft-windowed and non-windowed approaches, respectively, from a set of 2082 mutant mouse lines. Our method is generalizable and can benefit large-scale human phenomic projects such as the UK Biobank and the All of Us resources.Availability and implementationThe method is freely available in the R package SmoothWin, available on CRAN http://CRAN.R-project.org/package=SmoothWin.Supplementary informationSupplementary data are available at Bioinformatics online.
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- 2020
30. Solving a real-world nurse rostering problem by Simulated Annealing
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Ceschia, Sara, Di Gaspero, Luca, Mazzaracchio, Vincenzo, Policante, Giuseppe, and Schaerf, Andrea
- Published
- 2023
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31. Simulated Annealing for the Home Healthcare Routing and Scheduling Problem
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Ceschia, Sara, primary, Di Gaspero, Luca, additional, and Schaerf, Andrea, additional
- Published
- 2023
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32. A Multi-objective Biased Random-Key Genetic Algorithm for the Siting of Emergency Vehicles
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Da Ros, Francesca, primary, Di Gaspero, Luca, additional, La Barbera, David, additional, Della Mea, Vincenzo, additional, Roitero, Kevin, additional, Deroma, Laura, additional, Licata, Sabrina, additional, and Valent, Francesca, additional
- Published
- 2023
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33. A Multi-objective Biased Random-Key Genetic Algorithm for the Siting of Emergency Vehicles.
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Francesca Da Ros, Luca Di Gaspero, David La Barbera, Vincenzo Della Mea, Kevin Roitero, Laura Deroma, Sabrina Licata, and Francesca Valent
- Published
- 2022
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34. Simulated Annealing for the Home Healthcare Routing and Scheduling Problem.
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Sara Ceschia, Luca Di Gaspero, and Andrea Schaerf
- Published
- 2022
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35. Co-expression of prepulse inhibition and schizophrenia genes in the mouse and human brain
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Garrett, Lillian, primary, Trümbach, Dietrich, additional, Lee, Dongyhung, additional, Mandillo, Silvia, additional, Samaco, Rodney, additional, Flenniken, Ann M., additional, Stewart, Michelle, additional, Aguilar-Pimental, Juan A., additional, Amarie, Oana V., additional, Becker, Lore, additional, Calzada-Wack, Julia, additional, Da Silva-Buttkus, Patricia, additional, Dragano, Nathalia, additional, Kraiger, Markus, additional, Lengger, Christoph, additional, Leuchtenberger, Stefanie, additional, Marschall, Susan, additional, Oestereicher, Manuela A., additional, Rathkolb, Birgit, additional, Sanz-Moreno, Adrián, additional, Seisenberger, Claudia, additional, Spielmann, Nadine, additional, Stoeger, Claudia, additional, Kumar, Vivek, additional, Keskivali, Piia, additional, King, Ruairidh, additional, Haselimashhadi, Hamed, additional, Bezginov, Alexandr, additional, Norris, Clare, additional, Taylor, Sarah, additional, Pimm, Dale, additional, Kelsey, Lois, additional, Berberovic, Zorana, additional, Qu, Dawei, additional, D'Souza, Abigail, additional, Bradaschia, Vivian, additional, Eskandarian, Mohammed, additional, Shang, Xueyuan, additional, Duffin, Kyle, additional, Roberton, Kyle, additional, Xu, Catherine, additional, Baguinat, Gloria, additional, Laurin, Valerie, additional, Lan, Qing, additional, Sleep, Gillian, additional, Lintott, Lauri, additional, Gertsenstein, Marina, additional, Tondat, Sandra, additional, Cruz, Maribelle, additional, Miller, David, additional, Sorg, Tania, additional, Riet, Fabrice, additional, Tolentino, Heather, additional, Tolentino, Todd, additional, Schuchbauer, Mike, additional, Hockenbury, Nichole, additional, Beeman, Karrie, additional, Pedroia, Sheryl, additional, Salazar, Jason, additional, Heffner, Mollie, additional, Hsu, Joanne, additional, Fletcher, Colin, additional, Vanzanten, Maya, additional, Golini, Elisabetta, additional, Seavitt, John R., additional, Lanza, Denise G., additional, Lorenzo, Isabel, additional, Gaspero, Angelina, additional, Rios, Amanda, additional, White, Jacqueline K., additional, McKerlie, Colin, additional, Nutter, Lauryl M.J., additional, Vukobradovic, Igor, additional, Veeraragavan, Surabi, additional, Yuva, Lisa, additional, Heaney, Jason D., additional, Dickinson, Mary E., additional, Meziane, Hamid, additional, Hérault, Yann, additional, Wells, Sara, additional, Lloyd, K.C.Kent, additional, Bower, Lynette, additional, Lanoue, Louise, additional, Clary, Dave, additional, Zimprich, Annemarie, additional, Gailus-Durner, Valerie, additional, Fuchs, Helmut, additional, Brown, Steve D.M., additional, Chesler, Elissa J., additional, Wurst, Wolfgang, additional, Hrabě de Angelis, Martin, additional, and Hölter, Sabine M., additional
- Published
- 2024
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36. Multi-neighborhood simulated annealing for the sports timetabling competition ITC2021
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Rosati, Roberto Maria, Petris, Matteo, Di Gaspero, Luca, and Schaerf, Andrea
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- 2022
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37. Task design in complex crowdsourcing experiments: Item assignment optimization
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Ceschia, Sara, Roitero, Kevin, Demartini, Gianluca, Mizzaro, Stefano, Di Gaspero, Luca, and Schaerf, Andrea
- Published
- 2022
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38. Local Search Strategies for Multi-Objective Flowshop Scheduling: Introducing Pareto Late Acceptance Hill Climbing.
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Francesca Da Ros and Luca Di Gaspero
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- 2023
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39. Evaluation of sensitivity and specificity in RNA-Seq-based detection of grapevine viral pathogens
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Di Gaspero, Gabriele, Radovic, Slobodanka, De Luca, Elisa, Spadotto, Alessandro, Magris, Gabriele, Falginella, Luigi, Cattonaro, Federica, and Marroni, Fabio
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- 2022
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40. Multi-Neighborhood simulated annealing for the minimum interference frequency assignment problem
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Ceschia, Sara, Di Gaspero, Luca, Rosati, Roberto Maria, and Schaerf, Andrea
- Published
- 2022
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41. The genomes of 204 Vitis vinifera accessions reveal the origin of European wine grapes
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Gabriele Magris, Irena Jurman, Alice Fornasiero, Eleonora Paparelli, Rachel Schwope, Fabio Marroni, Gabriele Di Gaspero, and Michele Morgante
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Science - Abstract
Reports on the origin of European wine grapes are controversial. Here, the authors perform population genetics analyses on a large set of representative wine-making varieties and reveal a single domestication event at the origin of the entire germplasm followed by repeated introgression from wild populations.
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- 2021
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42. Multi-Neighborhood Simulated Annealing for the Home Healthcare Routing and Scheduling Problem
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Ceschia, Sara, primary, Gaspero, Luca Di, additional, Rosati, Roberto Maria, additional, and Schaerf, Andrea, additional
- Published
- 2024
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43. Local Search and Constraint Programming for a Real-World Examination Timetabling Problem.
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Michele Battistutta, Sara Ceschia, Fabio De Cesco, Luca Di Gaspero, Andrea Schaerf, and Elena Topan
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- 2020
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44. Local Search and Constraint Programming for a Real-World Examination Timetabling Problem
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Battistutta, Michele, Ceschia, Sara, De Cesco, Fabio, Di Gaspero, Luca, Schaerf, Andrea, Topan, Elena, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Hebrard, Emmanuel, editor, and Musliu, Nysret, editor
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- 2020
- Full Text
- View/download PDF
45. Genetic and Genomic Approaches for Adaptation of Grapevine to Climate Change
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Delrot, Serge, Grimplet, Jérôme, Carbonell-Bejerano, Pablo, Schwandner, Anna, Bert, Pierre-François, Bavaresco, Luigi, Costa, Lorenza Dalla, Di Gaspero, Gabriele, Duchêne, Eric, Hausmann, Ludger, Malnoy, Mickaël, Morgante, Michele, Ollat, Nathalie, Pecile, Mario, Vezzulli, Silvia, and Kole, Chittaranjan, editor
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- 2020
- Full Text
- View/download PDF
46. Two-stage multi-neighborhood simulated annealing for uncapacitated examination timetabling
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Bellio, Ruggero, Ceschia, Sara, Di Gaspero, Luca, and Schaerf, Andrea
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- 2021
- Full Text
- View/download PDF
47. Towards an open grapevine information system
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Adam-Blondon, A-F, Alaux, M, Pommier, C, Cantu, D, Cheng, Z-M, Cramer, GR, Davies, C, Delrot, S, Deluc, L, Di Gaspero, G, Grimplet, J, Fennell, A, Londo, JP, Kersey, P, Mattivi, F, Naithani, S, Neveu, P, Nikolski, M, Pezzotti, M, Reisch, BI, Töpfer, R, Vivier, MA, Ware, D, and Quesneville, H
- Subjects
Agricultural ,Veterinary and Food Sciences ,Horticultural Production ,Generic health relevance ,Horticultural production ,Plant biology - Abstract
Viticulture, like other fields of agriculture, is currently facing important challenges that will be addressed only through sustained, dedicated and coordinated research. Although the methods used in biology have evolved tremendously in recent years and now involve the routine production of large data sets of varied nature, in many domains of study, including grapevine research, there is a need to improve the findability, accessibility, interoperability and reusability (FAIR-ness) of these data. Considering the heterogeneous nature of the data produced, the transnational nature of the scientific community and the experience gained elsewhere, we have formed an open working group, in the framework of the International Grapevine Genome Program (www.vitaceae.org), to construct a coordinated federation of information systems holding grapevine data distributed around the world, providing an integrated set of interfaces supporting advanced data modeling, rich semantic integration and the next generation of data mining tools. To achieve this goal, it will be critical to develop, implement and adopt appropriate standards for data annotation and formatting. The development of this system, the GrapeIS, linking genotypes to phenotypes, and scientific research to agronomical and oeneological data, should provide new insights into grape biology, and allow the development of new varieties to meet the challenges of biotic and abiotic stress, environmental change, and consumer demand.
- Published
- 2016
48. First Observation of CP Violation in B0->D(*)CP h0 Decays by a Combined Time-Dependent Analysis of BaBar and Belle Data
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BaBar, The, Collaborations, Belle, Abdesselam, A., Adachi, I., Adametz, A., Adye, T., Ahmed, H., Aihara, H., Akar, S., Alam, M. S., Albert, J., Said, S. Al, Andreassen, R., Angelini, C., Anulli, F., Arinstein, K., Arnaud, N., Asner, D. M., Aston, D., Aulchenko, V., Aushev, T., Ayad, R., Babu, V., Badhrees, I., Bahinipati, S., Bakich, A. M., Band, H. R., Banerjee, Sw., Barberio, E., Bard, D. J., Barlow, R. J., Batignani, G., Beaulieu, A., Bellis, M., Ben-Haim, E., Bernard, D., Bernlochner, F. U., Bettarini, S., Bettoni, D., Bevan, A. J., Bhardwaj, V., Bhuyan, B., Bianchi, F., Biasini, M., Biswal, J., Blinov, V. E., Bloom, P. C., Bobrov, A., Bomben, M., Bondar, A., Bonneaud, G. R., Bonvicini, G., Bozek, A., Bozzi, C., Bracko, M., Briand, H., Browder, T. E., Brown, D. N., Bünger, C., Burchat, P. R., Buzykaev, A. R., Calabrese, R., Calcaterra, A., Calderini, G., Carpinelli, M., Cartaro, C., Casarosa, G., Cenci, R., Cervenkov, D., Chang, P., Chao, D. S., Chauveau, J., Cheaib, R., Chekelian, V., Chen, A., Chen, C., Cheng, C. H., Cheon, B. G., Chilikin, K., Chistov, R., Cho, K., Chobanova, V., Choi, H. H. F., Choi, S. -K., Chrzaszcz, M., Cibinetto, G., Cinabro, D., Cochran, J., Coleman, J. P., Contri, R., Convery, M. R., Cowan, G., Cowan, R., Cremaldi, L., Dalseno, J., Dasu, S., Davier, M., Davis, C. L., De Mori, F., De Nardo, G., Denig, A. G., Derkach, D., de Sangro, R., Dey, B., Di Lodovico, F., Dingfelder, J., Dittrich, S., Dolezal, Z., Dorfan, J., Drasal, Z., Drutskoy, A., Druzhinin, V. P., Dubois-Felsmann, G. P., Dunwoodie, W., Dutta, D., Ebert, M., Echenard, B., Eidelman, S., Eigen, G., Eisner, A. M., Emery, S., Ernst, J. A., Faccini, R., Farhat, H., Fast, J. E., Feindt, M., Ferber, T., Ferrarotto, F., Ferroni, F., Field, R. C., Filippi, A., Finocchiaro, G., Fioravanti, E., Flood, K. T., Ford, W. T., Forti, F., Sevilla, M. Franco, Fritsch, M., Fry, J. R., Fulsom, B. G., Gabathuler, E., Gabyshev, N., Gamba, D., Garmash, A., Gary, J. W., Garzia, I., Gaspero, M., Gaur, V., Gaz, A., Gershon, T. J., Getzkow, D., Gillard, R., Gioi, L. Li, Giorgi, M. A., Glattauer, R., Godang, R., Goh, Y. M., Goldenzweig, P., Golob, B., Golubev, V. B., Gorodeisky, R., Gradl, W., Graham, M. T., Grauges, E., Griessinger, K., Gritsan, A. V., Grosdidier, G., Grünberg, O., Guttman, N., Haba, J., Hafner, A., Hamilton, B., Hara, T., Harrison, P. F., Hast, C., Hayasaka, K., Hayashii, H., Hearty, C., He, X. H., Hess, M., Hitlin, D. G., Hong, T. M., Honscheid, K., Hou, W. -S., Hsiung, Y. B., Huard, Z., Hutchcroft, D. E., Iijima, T., Inguglia, G., Innes, W. R., Ishikawa, A., Itoh, R., Iwasaki, Y., Izen, J. M., Jaegle, I., Jawahery, A., Jessop, C. P., Joffe, D., Joo, K. K., Julius, T., Kang, K. H., Kass, R., Kawasaki, T., Kerth, L. T., Khan, A., Kiesling, C., Kim, D. Y., Kim, J. B., Kim, J. H., Kim, K. T., Kim, P., Kim, S. H., Kim, Y. J., King, G. J., Kinoshita, K., Ko, B. R., Koch, H., Kodys, P., Kolomensky, Yu. G., Korpar, S., Kovalskyi, D., Kowalewski, R., Kravchenko, E. A., Krizan, P., Krokovny, P., Kuhr, T., Kumar, R., Kuzmin, A., Kwon, Y. -J., Lacker, H. M., Lafferty, G. D., Lanceri, L., Lange, D. J., Lankford, A. J., Latham, T. E., Leddig, T., Diberder, F. Le, Lee, D. H., Lee, I. S., Lee, M. J., Lees, J. P., Leith, D. W. G. S., Leruste, Ph., Lewczuk, M. J., Lewis, P., Libby, J., Lockman, W. S., Long, O., Pegna, D. Lopes, LoSecco, J. M., Lou, X. C., Lueck, T., Luitz, S., Lukin, P., Luppi, E., Lusiani, A., Luth, V., Lutz, A. M., Lynch, G., MacFarlane, D. B., Malaescu, B., Mallik, U., Manoni, E., Marchiori, G., Margoni, M., Martellotti, S., Martinez-Vidal, F., Masuda, M., Mattison, T. S., Matvienko, D., McKenna, J. A., Meadows, B. T., Miyabayashi, K., Miyashita, T. S., Miyata, H., Mizuk, R., Mohanty, G. B., Moll, A., Monge, M. R., Moon, H. K., Morandin, M., Muller, D. R., Mussa, R., Nakano, E., Nakazawa, H., Nakao, M., Nanut, T., Nayak, M., Neal, H., Neri, N., Nisar, N. K., Nishida, S., Nugent, I. M., Oberhof, B., Ocariz, J., Ogawa, S., Okuno, S., Olaiya, E. O., Olsen, J., Ongmongkolkul, P., Onorato, G., Onuchin, A. P., Onuki, Y., Ostrowicz, W., Oyanguren, A., Pakhlova, G., Pakhlov, P., Palano, A., Pal, B., Palombo, F., Pan, Y., Vazquez, W. Panduro, Paoloni, E., Park, C. W., Park, H., Passaggio, S., Patel, P. M., Patrignani, C., Patteri, P., Payne, D. J., Pedlar, T. K., Peimer, D. R., Peruzzi, I. M., Pesantez, L., Pestotnik, R., Petric, M., Piccolo, M., Piemontese, L., Piilonen, L. E., Pilloni, A., Piredda, G., Playfer, S., Poireau, V., Porter, F. C., Posocco, M., Prasad, V., Prell, S., Prepost, R., Puccio, E. M. T., Pulliam, T., Purohit, M. V., Pushpawela, B. G., Rama, M., Randle-Conde, A., Ratcliff, B. N., Raven, G., Ribezl, E., Richman, J. D., Ritchie, J. L., Rizzo, G., Roberts, D. A., Robertson, S. H., Röhrken, M., Roney, J. M., Roodman, A., Rossi, A., Rostomyan, A., Rotondo, M., Roudeau, P., Sacco, R., Sakai, Y., Sandilya, S., Santelj, L., Santoro, V., Sanuki, T., Sato, Y., Savinov, V., Schindler, R. H., Schneider, O., Schnell, G., Schroeder, T., Schubert, K. R., Schumm, B. A., Schwanda, C., Schwartz, A. J., Schwitters, R. F., Sciacca, C., Seiden, A., Sekula, S. J., Senyo, K., Seon, O., Serednyakov, S. I., Sevior, M. E., Shapkin, M., Shebalin, V., Shen, C. P., Shibata, T. -A., Shiu, J. -G., Simard, M., Simi, G., Simon, F., Simonetto, F., Skovpen, Yu. I., Smith, A. J. S., Smith, J. G., Snyder, A., So, R. Y., Sobie, R. J., Soffer, A., Sohn, Y. -S., Sokoloff, M. D., Sokolov, A., Solodov, E. P., Solovieva, E., Spaan, B., Spanier, S. M., Staric, M., Stocchi, A., Stroili, R., Stugu, B., Su, D., Sullivan, M. K., Sumihama, M., Sumisawa, K., Sumiyoshi, T., Summers, D. J., Sun, L., Tamponi, U., Taras, P., Tasneem, N., Teramoto, Y., Tisserand, V., Todyshev, K. Yu., Toki, W. H., Touramanis, C., Trabelsi, K., Tsuboyama, T., Uchida, M., Uglov, T., Unno, Y., Uno, S., Usov, Y., Uwer, U., Vahsen, S. E., Van Hulse, C., Vanhoefer, P., Varner, G., Vasseur, G., Va'vra, J., Verderi, M., Vinokurova, A., Vitale, L., Vorobyev, V., Voss, C., Wagner, M. N., Wagner, S. R., Waldi, R., Walsh, J. J., Wang, C. H., Wang, M. -Z., Wang, P., Watanabe, Y., West, C. A., Williams, K. M., Wilson, F. F., Wilson, J. R., Wisniewski, W. J., Won, E., Wormser, G., Wright, D. M., Wu, S. L., Wulsin, H. W., Yamamoto, H., Yamaoka, J., Yashchenko, S., Yuan, C. Z., Yusa, Y., Zallo, A., Zhang, C. C., Zhang, Z. P., Zhilich, V., Zhulanov, V., and Zupanc, A.
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High Energy Physics - Experiment - Abstract
We report a measurement of the time-dependent CP asymmetry of B0->D(*)CP h0 decays, where the light neutral hadron h0 is a pi0, eta or omega meson, and the neutral D meson is reconstructed in the CP eigenstates K+ K-, K0S pi0 or K0S omega. The measurement is performed combining the final data samples collected at the Y(4S) resonance by the BaBar and Belle experiments at the asymmetric-energy B factories PEP-II at SLAC and KEKB at KEK, respectively. The data samples contain ( 471 +/- 3 ) x 10^6 BB pairs recorded by the BaBar detector and ( 772 +/- 11 ) x 10^6, BB pairs recorded by the Belle detector. We measure the CP asymmetry parameters -eta_f S = +0.66 +/- 0.10 (stat.) +/- 0.06 (syst.) and C = -0.02 +/- 0.07 (stat.) +/- 0.03 (syst.). These results correspond to the first observation of CP violation in B0->D(*)CP h0 decays. The hypothesis of no mixing-induced CP violation is excluded in these decays at the level of 5.4 standard deviations., Comment: 9 pages, 2 figures, submitted to Physical Review Letters
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- 2015
49. Feature-based tuning of simulated annealing applied to the curriculum-based course timetabling problem
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Bellio, Ruggero, Ceschia, Sara, Di Gaspero, Luca, Schaerf, Andrea, and Urli, Tommaso
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Computer Science - Artificial Intelligence - Abstract
We consider the university course timetabling problem, which is one of the most studied problems in educational timetabling. In particular, we focus our attention on the formulation known as the curriculum-based course timetabling problem, which has been tackled by many researchers and for which there are many available benchmarks. The contribution of this paper is twofold. First, we propose an effective and robust single-stage simulated annealing method for solving the problem. Secondly, we design and apply an extensive and statistically-principled methodology for the parameter tuning procedure. The outcome of this analysis is a methodology for modeling the relationship between search method parameters and instance features that allows us to set the parameters for unseen instances on the basis of a simple inspection of the instance itself. Using this methodology, our algorithm, despite its apparent simplicity, has been able to achieve high quality results on a set of popular benchmarks. A final contribution of the paper is a novel set of real-world instances, which could be used as a benchmark for future comparison.
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- 2014
50. The Physics of the B Factories
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Bevan, A. J., Golob, B., Mannel, Th., Prell, S., Yabsley, B. D., Abe, K., Aihara, H., Anulli, F., Arnaud, N., Aushev, T., Beneke, M., Beringer, J., Bianchi, F., Bigi, I. I., Bona, M., Brambilla, N., rodzicka, J. B, Chang, P., Charles, M. J., Cheng, C. H., Cheng, H. -Y., Chistov, R., Colangelo, P., Coleman, J. P., Drutskoy, A., Druzhinin, V. P., Eidelman, S., Eigen, G., Eisner, A. M., Faccini, R., Flood, K. T ., Gambino, P., Gaz, A., Gradl, W., Hayashii, H., Higuchi, T., Hulsbergen, W. D., Hurth, T., Iijima, T., Itoh, R., Jackson, P. D., Kass, R., Kolomensky, Yu. G., Kou, E., Križan, P., Kronfeld, A., Kumano, S., Kwon, Y. J., Latham, T. E., Leith, D. W. G. S., Lüth, V., Martinez-Vidal, F., Meadows, B. T., Mussa, R., Nakao, M., Nishida, S., Ocariz, J., Olsen, S. L., Pakhlov, P., Pakhlova, G., Palano, A., Pich, A., Playfer, S., Poluektov, A., Porter, F. C., Robertson, S. H., Roney, J. M., Roodman, A., Sakai, Y., Schwanda, C., Schwartz, A. J., Seidl, R., Sekula, S. J., Steinhauser, M., Sumisawa, K., Swanson, E. S., Tackmann, F., Trabelsi, K., Uehara, S., Uno, S., van der Water, R., Vasseur, G., Verkerke, W., Waldi, R., Wang, M. Z., Wilson, F. F., Zupan, J., Zupanc, A., Adachi, I., Albert, J., Banerjee, Sw., Bellis, M., Ben-Haim, E., Biassoni, P., Cahn, R. N., Cartaro, C., Chauveau, J., Chen, C., Chiang, C. C., Cowan, R., Dalseno, J., Davier, M., Davies, C., Dingfelder, J. C., nard, B. Eche, Epifanov, D., Fulsom, B. G., Gabareen, A. M., Gary, J. W., Godang, R., Graham, M. T., Hafner, A., Hamilton, B., Hartmann, T., Hayasaka, K., Hearty, C., Iwasaki, Y., Khodjamirian, A., Kusaka, A., Kuzmin, A., Lafferty, G. D., Lazzaro, A., Li, J., Lindemann, D., Long, O., Lusiani, A., Marchiori, G., Martinelli, M., Miyabayashi, K., Mizuk, R., Mohanty, G. B., Muller, D. R., Nakazawa, H., Ongmongkolkul, P., Pacetti, S., Palombo, F., Pedlar, T. K., Piilonen, L. E., Pilloni, A., Poireau, V., Prothmann, K., Pulliam, T., Rama, M., Ratcliff, B. N., Roudeau, P., Schrenk, S., Schroeder, T., Schubert, K. R., Shen, C. P., Shwartz, B., Soffer, A., Solodov, E. P., Somov, A., Starič, M., Stracka, S., Telnov, A. V., Todyshev, K. Yu., Tsuboyama, T., Uglov, T., Vinokurova, A., Walsh, J. J., Watanabe, Y., Won, E., Wormser, G., Wright, D. H., Ye, S., Zhang, C. C., Abachi, S., Abashian, A., Abe, N., Abe, R., Abe, T., Abrams, G. S., Adam, I., Adamczyk, K., Adametz, A., Adye, T., Agarwal, A., Ahmed, H., Ahmed, M., Ahmed, S., Ahn, B. S., Ahn, H. S., Aitchison, I. J. R., Akai, K., Akar, S., Akatsu, M., Akemoto, M., Akhmetshin, R., Akre, R., Alam, M. S., Albert, J. N., Aleksan, R., Alexander, J. P., Alimonti, G., Allen, M. T., Allison, J., Allmendinger, T., Alsmiller, J. R. G., Altenburg, D., Alwyn, K. E., An, Q., Anderson, J., Andreassen, R., Andreotti, D., Andreotti, M., Andress, J. C., Angelini, C., Anipko, D., Anjomshoaa, A., Anthony, P. L., Antillon, E. A., Antonioli, E., Aoki, K., Arguin, J. F., Arinstein, K., Arisaka, K., Asai, K., Asai, M., Asano, Y., Asgeirsson, D. J., Asner, D. M., Aso, T., Aspinwall, M. L., Aston, D., Atmacan, H., Aubert, B., Aulchenko, V., Ayad, R., Azemoon, T., Aziz, T., Azzolini, V., Azzopardi, D. E., Baak, M. A., Back, J. J., Bagnasco, S., Bahinipati, S., Bailey, D. S., Bailey, S., Bailly, P., van Bakel, N., Bakich, A. M., Bala, A., Balagura, V., Baldini-Ferroli, R., Ban, Y., Banas, E., Band, H. R., Banerjee, S., Baracchini, E., Barate, R., Barberio, E., Barbero, M., Bard, D. J., Barillari, T., Barlow, N. R., Barlow, R. J., Barrett, M., Bartel, W., Bartelt, J., Bartoldus, R., Batignani, G., Battaglia, M., Bauer, J. M., Bay, A., Beaulieu, M., Bechtle, P., Beck, T. W., Becker, J., Becla, J., Bedny, I., Behari, S., Behera, P. K., Behn, E., Behr, L., Beigbeder, C., Beiline, D., Bell, R., Bellini, F., Bellodi, G., Belous, K., Benayoun, M., Benelli, G., Benitez, J. F., Benkebil, M., Berger, N., Bernabeu, J., Bernard, D., Bernet, R., Bernlochner, F. U., Berryhill, J. W., Bertsche, K., Besson, P., Best, D. S., Bettarini, S., Bettoni, D., Bhardwaj, V., Bhimji, W., Bhuyan, B., Biagini, M. E., Biasini, M., van Bibber, K., Biesiada, J., Bingham, I., Bionta, R. M., Bischofberger, M., Bitenc, U., Bizjak, I., Blanc, F., Blaylock, G., Blinov, V. E., Bloom, E., Bloom, P. C., Blount, N. L., Blouw, J., Bly, M., Blyth, S., Boeheim, C. T., Bomben, M., Bondar, A., Bondioli, M., Bonneaud, G. R., Bonvicini, G., Booke, M., Booth, J., Borean, C., Borgland, A. W., Borsato, E., Bosi, F., Bosisio, L., Botov, A. A., Bougher, J., Bouldin, K., Bourgeois, P., Boutigny, D., Bowerman, D. A., Boyarski, A. M., Boyce, R. F., Boyd, J. T., Bozek, A., Bozzi, C., Bračko, M., Brandenburg, G., Brandt, T., Brau, B., Brau, J., Breon, A. B., Breton, D., Brew, C., Briand, H., Bright-Thomas, P. G., Brigljević, V., Britton, D. I., Brochard, F., Broomer, B., Brose, J., Browder, T. E., Brown, C. L., Brown, C. M., Brown, D. N., Browne, M., Bruinsma, M., Brunet, S., Bucci, F., Buchanan, C., Buchmueller, O. L., Bünger, C., Bugg, W., Bukin, A. D., Bula, R., Bulten, H., Burchat, P. R., Burgess, W., Burke, J. P., Button-Shafer, J., Buzykaev, A. R., Buzzo, A., Cai, Y., Calabrese, R., Calcaterra, A., Calderini, G., Camanzi, B., Campagna, E., Campagnari, C., Capra, R., Carassiti, V., Carpinelli, M., Carroll, M., Casarosa, G., Casey, B. C. K., Cason, N. M., Castelli, G., Cavallo, N., Cavoto, G., Cecchi, A., Cenci, R., Cerizza, G., Cervelli, A., Ceseracciu, A., Chai, X., Chaisanguanthum, K. S., Chang, M. C., Chang, Y. H., Chang, Y. W., Chao, D. S., Chao, M., Chao, Y., Charles, E., Chavez, C. A., Cheaib, R., Chekelian, V., Chen, A., Chen, E., Chen, G. P., Chen, H. F., Chen, J. -H., Chen, J. C., Chen, K. F., Chen, P., Chen, S., Chen, W. T., Chen, X., Chen, X. R., Chen, Y. Q., Cheng, B., Cheon, B. G., Chevalier, N., Chia, Y. M., Chidzik, S., Chilikin, K., Chistiakova, M. V., Cizeron, R., Cho, I. S., Cho, K., Chobanova, V., Choi, H. H. F., Choi, K. S., Choi, S. K., Choi, Y., Choi, Y. K., Christ, S., Chu, P. H., Chun, S., Chuvikov, A., Cibinetto, G., Cinabro, D., Clark, A. R., Clark, P. J., Clarke, C. K., Claus, R., Claxton, B., Clifton, Z. C., Cochran, J., Cohen-Tanugi, J., Cohn, H., Colberg, T., Cole, S., Colecchia, F., Condurache, C., Contri, R., Convert, P., Convery, M. R., Cooke, P., Copty, N., Cormack, C. M., Corso, F. Dal, Corwin, L. A., Cossutti, F., Cote, D., Ramusino, A. Cotta, Cottingham, W. N., Couderc, F., Coupal, D. P., Covarelli, R., Cowan, G., Craddock, W. W., Crane, G., Crawley, H. B., Cremaldi, L., Crescente, A., Cristinziani, M., Crnkovic, J., Crosetti, G., Cuhadar-Donszelmann, T., Cunha, A., Curry, S., D'Orazio, A., Dû, S., Dahlinger, G., Dahmes, B., Dallapiccola, C., Danielson, N., Danilov, M., Das, A., Dash, M., Dasu, S., Datta, M., Daudo, F., Dauncey, P. D., David, P., Davis, C. L., Day, C. T., De Mori, F., De Domenico, G., De Groot, N., De la Vaissière, C., de la Vaissière, Ch., de Lesquen, A., De Nardo, G., de Sangro, R., De Silva, A., DeBarger, S., Decker, F. J., Sanchez, P. del Amo, Del Buono, L., Del Gamba, V., del Re, D., Della Ricca, G., Denig, A. G., Derkach, D., Derrington, I. M., DeStaebler, H., Destree, J., Devmal, S., Dey, B., Di Girolamo, B., Di Marco, E., Dickopp, M., Dima, M. O., Dittrich, S., Dittongo, S., Dixon, P., Dneprovsky, L., Dohou, F., Doi, Y., Doležal, Z., Doll, D. A., Donald, M., Dong, L., Dong, L. Y., Dorfan, J., Dorigo, A., Dorsten, M. P., Dowd, R., Dowdell, J., Drásal, Z., Dragic, J., Drummond, B. W., Dubitzky, R. S., Dubois-Felsmann, G. P., Dubrovin, M. S., Duh, Y. C., Duh, Y. T., Dujmic, D., Dungel, W., Dunwoodie, W., Dutta, D., Dvoretskii, A., Dyce, N., Ebert, M., Eckhart, E. A., Ecklund, S., Eckmann, R., Eckstein, P., Edgar, C. L., Edwards, A. J., Egede, U., Eichenbaum, A. 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High Energy Physics - Experiment ,High Energy Physics - Phenomenology - Abstract
This work is on the Physics of the B Factories. Part A of this book contains a brief description of the SLAC and KEK B Factories as well as their detectors, BaBar and Belle, and data taking related issues. Part B discusses tools and methods used by the experiments in order to obtain results. The results themselves can be found in Part C. Please note that version 3 on the archive is the auxiliary version of the Physics of the B Factories book. This uses the notation alpha, beta, gamma for the angles of the Unitarity Triangle. The nominal version uses the notation phi_1, phi_2 and phi_3. Please cite this work as Eur. Phys. J. C74 (2014) 3026., Comment: 928 pages, version 3 (arXiv:1406.6311v3) corresponds to the alpha, beta, gamma version of the book, the other versions use the phi1, phi2, phi3 notation
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- 2014
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