109 results on '"Carotenuto, Francesco"'
Search Results
2. A Major Change in Rate of Climate Niche Envelope Evolution during Hominid History
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Mondanaro, Alessandro, Melchionna, Marina, Di Febbraro, Mirko, Castiglione, Silvia, Holden, Philip B., Edwards, Neil R., Carotenuto, Francesco, Maiorano, Luigi, Modafferi, Maria, Serio, Carmela, Diniz-Filho, Josè A.F., Rangel, Thiago, Rook, Lorenzo, O'Higgins, Paul, Spikins, Penny, Profico, Antonio, and Raia, Pasquale
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- 2020
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3. Radio transients from compact objects across the mass spectrum in the era of multi-messenger astronomy.
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Corsi, Alessandra, Eddins, Avery, Lazio, T. Joseph W., Murphy, Eric J., Osten, Rachel A., and Carotenuto, Francesco
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MASS spectrometry ,BLACK holes ,NEUTRON stars ,GRAVITATIONAL waves ,BINARY black holes - Abstract
Compact objects across the mass spectrum-from neutron stars to supermassive black holes-are progenitors and/or central engines for some of the most cataclysmic phenomena in the Universe. As such, they are associated with radio emission on a variety of timescales and represent key targets for multi-messenger astronomy. Observations of transients in the radio band can unveil the physics behind their central engines, ejecta, and the properties of their surroundings, crucially complementing information on their progenitors gathered from observations of other messengers (such as gravitational waves and neutrinos). In this contribution, we summarize observational opportunities and challenges ahead in the multi-messenger study of neutron stars and black holes using radio observations. We highlight the specific contribution of current U.S. national radio facilities and discuss expectations for the field focusing on the science that could be enabled by facilities recommended by the 2020 Decadal survey such as the next generation Very Large Array (ngVLA). [ABSTRACT FROM AUTHOR]
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- 2024
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4. Ancestral State Estimation with Phylogenetic Ridge Regression
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Castiglione, Silvia, Serio, Carmela, Mondanaro, Alessandro, Melchionna, Marina, Carotenuto, Francesco, Di Febbraro, Mirko, Profico, Antonio, Tamagnini, Davide, and Raia, Pasquale
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- 2020
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5. Machine learning ensemble modelling as a tool to improve landslide susceptibility mapping reliability
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Di Napoli, Mariano, Carotenuto, Francesco, Cevasco, Andrea, Confuorto, Pierluigi, Di Martire, Diego, Firpo, Marco, Pepe, Giacomo, Raso, Emanuele, and Calcaterra, Domenico
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- 2020
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6. Does the jack of all trades fare best? Survival and niche width in Late Pleistocene megafauna
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Di Febbraro, Mirko, Carotenuto, Francesco, Castiglione, Silvia, Russo, Danilo, Loy, Anna, Maiorano, Luigi, and Raia, Pasquale
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- 2017
7. Evolution of the sabertooth mandible: A deadly ecomorphological specialization
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Piras, Paolo, Silvestro, Daniele, Carotenuto, Francesco, Castiglione, Silvia, Kotsakis, Anastassios, Maiorino, Leonardo, Melchionna, Marina, Mondanaro, Alessandro, Sansalone, Gabriele, Serio, Carmela, Vero, Veronica Anna, and Raia, Pasquale
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- 2018
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8. Fragmentation of Neanderthals' pre-extinction distribution by climate change
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Melchionna, Marina, Di Febbraro, Mirko, Carotenuto, Francesco, Rook, Lorenzo, Mondanaro, Alessandro, Castiglione, Silvia, Serio, Carmela, Vero, Veronica A., Tesone, Gianmarco, Piccolo, Martina, Diniz-Filho, Josè Alexandre Felizola, and Raia, Pasquale
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- 2018
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9. From Evolutionary Allometry to Sexual Display : A Reply to Holman and Bro-Jørgensen
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Raia, Pasquale, Passaro, Federico, Carotenuto, Francesco, Meiri, Shai, and Piras, Paolo
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- 2016
10. Phylogenetic fields through time: temporal dynamics of geographical co-occurrence and phylogenetic structure within species ranges
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Villalobos, Fabricio, Carotenuto, Francesco, Raia, Pasquale, and Diniz-Filho, José Alexandre F.
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- 2016
11. Bursts from Space: MeerKAT - The first citizen science project dedicated to commensal radio transients
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Andersson, Alex, Lintott, Chris, Fender, Rob, Bright, Joe, Carotenuto, Francesco, Driessen, Laura, Espinasse, Mathilde, Gaseahalwe, Kelebogile, Heywood, Ian, van der Horst, Alexander J, Motta, Sara, Rhodes, Lauren, Tremou, Evangelia, Williams, David R.A, Woudt, Patrick, Zhang, Xian, Bloemen, Steven, Groot, Paul, Vreeswijk, Paul, Giarratana, Stefano, Saikia, Payaswini, Andersson, Jonas, Arroyo, Lizzeth Ruiz, Baert, Loïc, Baumann, Matthew, Domainko, Wilfried, Eschweiler, Thorsten, Forsythe, Tim, Gaudenzi, Sauro, Grenier, Rachel Ann, Iannone, Davide, Lahoz, Karla, Melville, Kyle J, Nascimento, Marianne de Sousa, Navarro, Leticia, Parthasarathi, Sai, Piilonen, Piilonen, Rahman, Najma, Smith, Jeffrey, Stewart, B, Temoke, Newton, Tworek, Chloe, Whittle, Isabelle, Astrophysique Interprétation Modélisation (AIM (UMR7158 / UMR_E_9005 / UM_112)), and Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)
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radio continuum: galaxies ,High Energy Astrophysical Phenomena (astro-ph.HE) ,surveys ,radio continuum: transients ,Astrophysics of Galaxies (astro-ph.GA) ,radio continuum: general ,FOS: Physical sciences ,[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det] ,[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph] ,Astrophysics - High Energy Astrophysical Phenomena ,Astrophysics - Instrumentation and Methods for Astrophysics ,Instrumentation and Methods for Astrophysics (astro-ph.IM) ,Astrophysics - Astrophysics of Galaxies - Abstract
The newest generation of radio telescopes are able to survey large areas with high sensitivity and cadence, producing data volumes that require new methods to better understand the transient sky. Here we describe the results from the first citizen science project dedicated to commensal radio transients, using data from the MeerKAT telescope with weekly cadence. Bursts from Space: MeerKAT was launched late in 2021 and received ~89000 classifications from over 1000 volunteers in 3 months. Our volunteers discovered 142 new variable sources which, along with the known transients in our fields, allowed us to estimate that at least 2.1 per cent of radio sources are varying at 1.28 GHz at the sampled cadence and sensitivity, in line with previous work. We provide the full catalogue of these sources, the largest of candidate radio variables to date. Transient sources found with archival counterparts include a pulsar (B1845-01) and an OH maser star (OH 30.1-0.7), in addition to the recovery of known stellar flares and X-ray binary jets in our observations. Data from the MeerLICHT optical telescope, along with estimates of long time-scale variability induced by scintillation, imply that the majority of the new variables are active galactic nuclei. This tells us that citizen scientists can discover phenomena varying on time-scales from weeks to several years. The success both in terms of volunteer engagement and scientific merit warrants the continued development of the project, whilst we use the classifications from volunteers to develop machine learning techniques for finding transients., Accepted to MNRAS, 14 pages + an appendix containing our main data table
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- 2023
12. Space and time: The two dimensions of Artiodactyla body mass evolution
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Carotenuto, Francesco, Diniz-Filho, José Alexandre Felizola, and Raia, Pasquale
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- 2015
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13. First Detection of X-Ray Polarization from the Accreting Neutron Star 4U 1820−303.
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Di Marco, Alessandro, La Monaca, Fabio, Poutanen, Juri, Russell, Thomas D., Anitra, Alessio, Farinelli, Ruben, Mastroserio, Guglielmo, Muleri, Fabio, Xie, Fei, Bachetti, Matteo, Burderi, Luciano, Carotenuto, Francesco, Del Santo, Melania, Di Salvo, Tiziana, Dovčiak, Michal, Gnarini, Andrea, Iaria, Rosario, Kajava, Jari J. E., Liu, Kuan, and Middei, Riccardo
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- 2023
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14. Cope’s Rule and the Universal Scaling Law of Ornament Complexity
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Raia, Pasquale, Passaro, Federico, Carotenuto, Francesco, Maiorino, Leonardo, Piras, Paolo, Teresi, Luciano, Meiri, Shai, Itescu, Yuval, Novosolov, Maria, Baiano, Mattia Antonio, Martínez, Ricard, and Fortelius, Mikael
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- 2015
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15. Chewing on the trees: Constraints and adaptation in the evolution of the primate mandible
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Meloro, Carlo, Cáceres, Nilton Carlos, Carotenuto, Francesco, Sponchiado, Jonas, Melo, Geruza Leal, Passaro, Federico, and Raia, Pasquale
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- 2015
16. Ecogeographical variation in skull shape of capuchin monkeys
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Cáceres, Nilton, Meloro, Carlo, Carotenuto, Francesco, Passaro, Federico, Sponchiado, Jonas, Melo, Geruza Leal, and Raia, Pasquale
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- 2014
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17. One size does not fit all: no evidence for an optimal body size on islands
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Raia, Pasquale, Carotenuto, Francesco, and Meiri, Shai
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- 2010
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18. Occupancy, range size, and phylogeny in Eurasian Pliocene to Recent large mammals
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Carotenuto, Francesco, Barbera, Carmela, and Raia, Pasquale
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- 2010
19. THE SHAPE OF CONTENTION: ADAPTATION, HISTORY, AND CONTINGENCY IN UNGULATE MANDIBLES
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Raia, Pasquale, Carotenuto, Francesco, Meloro, Carlo, Piras, Paolo, and Pushkina, Diana
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- 2010
20. In and Out the Amazonia: Evolutionary Ecomorphology in Howler and Capuchin Monkeys
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Meloro, Carlo, Cáceres, Nilton, Carotenuto, Francesco, Sponchiado, Jonas, Melo, Geruza Leal, Passaro, Federico, and Raia, Pasquale
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- 2014
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21. A 450 million years long latitudinal gradient in age-dependent extinction
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Silvestro, Daniele, Castiglione, Silvia, Mondanaro, Alessandro, Serio, Carmela, Melchionna, Marina, Piras, Paolo, Di Febbraro, Mirko, Carotenuto, Francesco, Rook Lorenzo, Raia Pasquale, Silvestro, Daniele, Castiglione, Silvia, Mondanaro, Alessandro, Serio, Carmela, Melchionna, Marina, Piras, Paolo, Di Febbraro, Mirko, Carotenuto, Francesco, Rook, Lorenzo, and Raia, Pasquale
- Subjects
'law of constant extinction' ,Letter ,GE ,Fossils ,deep learning ,fossil occurrences ,mass extinction ,neural networks ,Animals ,Biological Evolution ,Invertebrates ,Biodiversity ,Extinction, Biological ,social sciences ,Extinction ,musculoskeletal system ,Biological ,humanities ,natural sciences ,Letters ,geographic locations - Abstract
Leigh Van Valen famously stated that under constant conditions extinction probability is independent of species age. To test this 'law of constant extinction', we developed a new method using deep learning to infer age‐dependent extinction and analysed 450 myr of marine life across 21 invertebrate clades. We show that extinction rate significantly decreases with age in > 90% of the cases, indicating that most species died out soon after their appearance while those which survived experienced ever decreasing extinction risk. This age‐dependent extinction pattern is stronger towards the Equator and holds true when the potential effects of mass extinctions and taxonomic inflation are accounted for. These results suggest that the effect of biological interactions on age‐dependent extinction rate is more intense towards the tropics. We propose that the latitudinal diversity gradient and selection at the species level account for this exceptional, yet little recognised, macroevolutionary and macroecological pattern., We developed a new method using deep learning to infer age‐dependent extinction and analyzed 450 myr of marine life across 21 invertebrate clades. We found that extinction rate significantly decreases with age in > 90% of the cases. We propose that the latitudinal diversity gradient and selection at the species level account for this exceptional, yet little recognized, macroevolutionary and macroecological pattern.
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- 2020
22. Search for Gravitational-wave Signals Associated with Gamma-Ray Bursts during the Second Observing Run of Advanced LIGO and Advanced Virgo
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Abbott, B. P., Abbott, R., Abbott, T. D., Abraham, S., Acernese, F., Ackley, K., Adams, C., Adhikari, R. X., Adya, V. B., Affeldt, C., Agathos, M., Agatsuma, K., Aggarwal, N., Aguiar, O. D., Aiello, L., Ain, A., Ajith, P., Allen, G., Allocca, A., Aloy, Altin, M. A., P. A., Amato, A., Anand, S., Ananyeva, A., Anderson, S. B., Anderson, W. G., Angelova, S. V., Antier, S., Appert, S., Arai, K., Araya, M. C., Areeda, J. S., Arène, M., Arnaud, N., Aronson, S. M., Ascenzi, S., Ashton, G., Aston, S. M., Astone, P., Aubin, F., Aufmuth, P., Aultoneal, K., Austin, C., Avendano, V., Avila-Alvarez, A., Babak, S., Bacon, P., Badaracco, F., Bader, M. K. M., Bae, S., Baird, J., Baker, P. T., Baldaccini, F., Ballardin, G., Ballmer, S. W., Bals, A., Banagiri, S., Barayoga, J. C., Barbieri, C., Barclay, S. E., Barish, B. C., Barker, D., Barkett, K., Barnum, S., Barone, F., Barr, B., Barsotti, L., Barsuglia, M., Barta, D., Bartlett, J., Bartos, I., Bassiri, R., Basti, A., Bawaj, M., Bayley, J. C., Bazzan, M., Bécsy, B., Bejger, M., Belahcene, I., Bell, A. S., Beniwal, D., Benjamin, M. G., Berger, B. K., Bergmann, G., Bernuzzi, S., Berry, C. P. L., Bersanetti, D., Bertolini, A., Betzwieser, J., Bhandare, R., Bidler, J., Biggs, E., Bilenko, I. A., Bilgili, S. A., Billingsley, G., Birney, R., Birnholtz, O., Biscans, S., Bischi, M., Biscoveanu, S., Bisht, A., Bitossi, M., Bizouard, M. A., Blackburn, J. K., Blackman, J., Blair, C. D., Blair, D. G., Blair, R. M., Bloemen, S., Bobba, F., Bode, N., Boer, M., Boetzel, Y., Bogaert, G., Bondu, F., Bonnand, R., Booker, P., Boom, B. A., Bork, R., Boschi, V., Bose, S., Bossilkov, V., Bosveld, J., Bouffanais, Y., Bozzi, A., Bradaschia, C., Brady, P. R., Bramley, A., Branchesi, M., Brau, J. E., Breschi, M., Briant, T., Briggs, J. H., Brighenti, F., Brillet, A., Brinkmann, M., Brockill, P., Brooks, A. F., Brooks, J., Brown, D. D., Brunett, S., Buikema, A., Bulik, T., Bulten, H. J., Buonanno, A., Buskulic, D., Buy, C., Byer, R. L., Cabero, M., Cadonati, L., Cagnoli, G., Cahillane, C., Calderón Bustillo, J., Callister, T. A., Calloni, E., Camp, J. B., Campbell, W. A., Canepa, M., Cannon, K. C., Cao, H., Cao, J., Carapella, G., Carbognani, F., Caride, S., Carney, M. F., Carullo, G., Casanueva Diaz, J., Casentini, C., Caudill, S., Cavaglià, M., Cavalier, F., Cavalieri, R., Cella, G., Cerdá-Durán, P., Cesarini, E., Chaibi, O., Chakravarti, K., Chamberlin, S. J., Chan, M., Chao, S., Charlton, P., Chase, E. A., Chassande-Mottin, E., Chatterjee, D., Chaturvedi, M., Cheeseboro, B. D., Chen, H. Y., Chen, X., Chen, Y., Cheng, H. -P., Cheong, C. K., Chia, H. Y., Chiadini, F., Chincarini, A., Chiummo, A., Cho, G., Cho, H. S., Cho, M., Christensen, N., Chu, Q., Chua, S., Chung, K. W., Chung, S., Ciani, G., Cieślar, M., Ciobanu, A. A., Ciolfi, R., Cipriano, F., Cirone, A., Clara, F., Clark, J. A., Clearwater, P., Cleva, F., Coccia, E., Cohadon, P. -F., Cohen, D., Colleoni, M., Collette, C. G., Collins, C., Colpi, M., Cominsky, L. R., Constancio, M., J, R., Conti, L., Cooper, S. J., Corban, P., Corbitt, T. R., Cordero-Carrión, I., Corezzi, S., Corley, K. R., Cornish, N., Corre, D., Corsi, A., Cortese, S., Costa, C. A., Cotesta, R., Coughlin, M. W., Coughlin, S. B., Coulon, J. -P., Countryman, S. T., Couvares, P., Covas, P. B., Cowan, E. E., Coward, D. M., Cowart, M. J., Coyne, D. C., Coyne, R., Creighton, J. D. E., Creighton, T. D., Cripe, J., Croquette, M., Crowder, S. G., Cullen, T. J., Cumming, A., Cunningham, L., Cuoco, E., Dal Canton, T., Dálya, G., D’Angelo, B., Danilishin, S. L., D’Antonio, S., Danzmann, K., Dasgupta, A., Da Silva Costa, C. F., Datrier, L. E. H., Dattilo, V., Dave, I., Davier, M., Davis, D., Daw, E. J., Debra, D., Deenadayalan, M., Degallaix, J., De Laurentis, M., Deléglise, S., Del Pozzo, W., Demarchi, L. M., Demos, N., Dent, T., De Pietri, R., De Rosa, R., De Rossi, C., Desalvo, R., de Varona, O., Dhurandhar, S., Díaz, M. C., Dietrich, T., Di Fiore, L., Difronzo, C., Di Giorgio, C., Di Giovanni, F., Di Giovanni, M., Di Girolamo, T., Di Lieto, A., Ding, B., Di Pace, S., Di Palma, I., Di Renzo, F., Divakarla, A. K., Dmitriev, A., Doctor, Z., Donovan, F., Dooley, K. L., Doravari, S., Dorrington, I., Downes, T. P., Drago, M., Driggers, J. C., Du, Z., Ducoin, J. -G., Dupej, P., Durante, O., Dwyer, S. E., Easter, P. J., Eddolls, G., Edo, T. B., Effler, A., Ehrens, P., Eichholz, J., Eikenberry, S. S., Eisenmann, M., Eisenstein, R. A., Errico, L., Essick, R. C., Estelles, H., Estevez, D., Etienne, Z. B., Etzel, T., Evans, M., Evans, T. M., Fafone, V., Fairhurst, S., Fan, X., Farinon, S., Farr, B., Farr, W. M., Fauchon-Jones, E. J., Favata, M., Fays, M., Fazio, M., Fee, C., Feicht, J., Fejer, M. M., Feng, F., Fernandez-Galiana, A., Ferrante, I., Ferreira, E. C., Ferreira, T. A., Fidecaro, F., Fiori, I., Fiorucci, D., Fishbach, M., Fisher, R. P., Fishner, J. M., Fittipaldi, R., Fitz-Axen, M., Fiumara, V., Flaminio, R., Fletcher, M., Floden, E., Flynn, E., Fong, H., Font, J. A., Forsyth, P. W. F., Fournier, J. -D., Hernandez Vivanco, Francisco, Frasca, S., Frasconi, F., Frei, Z., Freise, A., Frey, R., Frey, V., Fritschel, P., Frolov, V. V., Fronzè, G., Fulda, P., Fyffe, M., Gabbard, H. A., Gadre, B. U., Gaebel, S. M., Gair, J. R., Gammaitoni, L., Gaonkar, S. G., García-Quirós, C., Garufi, F., Gateley, B., Gaudio, S., Gaur, G., Gayathri, V., Gemme, G., Genin, E., Gennai, A., George, D., George, J., Gergely, L., Ghonge, S., Ghosh, Abhirup, Ghosh, Archisman, Ghosh, S., Giacomazzo, B., Giaime, J. A., Giardina, K. D., Gibson, D. R., Gill, K., Glover, L., Gniesmer, J., Godwin, P., Goetz, E., Goetz, R., Goncharov, B., González, G., Gonzalez Castro, J. M., Gopakumar, A., Gossan, S. E., Gosselin, M., Gouaty, R., Grace, B., Grado, A., Granata, M., Grant, A., Gras, S., Grassia, P., Gray, C., Gray, R., Greco, G., Green, A. C., Green, R., Gretarsson, E. M., Grimaldi, A., Grimm, S. J., Groot, P., Grote, H., Grunewald, S., Gruning, P., Guidi, G. M., Gulati, H. K., Guo, Y., Gupta, A., Gupta, Anchal, Gupta, P., Gustafson, E. K., Gustafson, R., Haegel, L., Halim, O., Hall, B. R., Hall, E. D., Hamilton, E. Z., Hammond, G., Haney, M., Hanke, M. M., Hanks, J., Hanna, C., Hannam, M. D., Hannuksela, O. A., Hansen, T. J., Hanson, J., Harder, T., Hardwick, T., Haris, K., Harms, J., Harry, G. M., Harry, I. W., Hasskew, R. K., Haster, C. J., Haughian, K., Hayes, F. J., Healy, J., Heidmann, A., Heintze, M. C., Heitmann, H., Hellman, F., Hello, P., Hemming, G., Hendry, M., Heng, I. S., Hennig, J., Heurs, M., Hild, S., Hinderer, T., Hochheim, S., Hofman, D., Holgado, A. M., Holland, N. A., Holt, K., Holz, D. E., Hopkins, P., Horst, C., Hough, J., Howell, E. J., Hoy, C. G., Huang, Y., Hübner, M. T., Huerta, E. A., Huet, D., Hughey, B., Hui, V., Husa, S., Huttner, S. H., Huynh-Dinh, T., Idzkowski, B., Iess, A., Inchauspe, H., Ingram, C., Inta, R., Intini, G., Irwin, B., Isa, H. N., Isac, J. -M., Isi, M., Iyer, B. R., Jacqmin, T., Jadhav, S. J., Jani, K., Janthalur, N. N., Jaranowski, P., Jariwala, D., Jenkins, A. C., Jiang, J., Johnson, D. S., Jones, A. W., Jones, D. I., Jones, J. D., Jones, R., Jonker, R. J. G., Ju, L., Junker, J., Kalaghatgi, C. V., Kalogera, V., Kamai, B., Kandhasamy, S., Kang, G., Kanner, J. B., Kapadia, S. J., Karki, S., Kashyap, R., Kasprzack, M., Katsanevas, S., Katsavounidis, E., Katzman, W., Kaufer, S., Kawabe, K., Keerthana, N. V., Kéfélian, F., Keitel, D., Kennedy, R., Key, J. S., Khalili, F. Y., Khan, I., Khan, S., Khazanov, E. A., Khetan, N., Khursheed, M., Kijbunchoo, N., Kim, Chunglee, Kim, J. C., Kim, K., Kim, W., Kim, W. S., Kim, Y. -M., Kimball, C., King, P. J., Kinley-Hanlon, M., Kirchhoff, R., Kissel, J. S., Kleybolte, L., Klika, J. H., Klimenko, S., Knowles, T. D., Koch, P., Koehlenbeck, S. M., Koekoek, G., Koley, S., Kondrashov, V., Kontos, A., Koper, N., Korobko, M., Korth, W. Z., Kovalam, M., Kozak, D. B., Krämer, C., Kringel, V., Krishnendu, N., Królak, A., Krupinski, N., Kuehn, G., Kumar, A., Kumar, P., Kumar, Rahul, Kumar, Rakesh, Kuo, L., Kutynia, A., Kwang, S., Lackey, B. D., Laghi, D., Lai, K. H., Lam, T. L., Landry, M., Lane, B. B., Lang, R. N., Lange, J., Lantz, B., Lanza, R. K., Lartaux-Vollard, A., Lasky, P. D., Laxen, M., Lazzarini, A., Lazzaro, C., Leaci, P., Leavey, S., Lecoeuche, Y. K., Lee, C. H., Lee, H. K., Lee, H. M., Lee, H. W., Lee, J., Lee, K., Lehmann, J., Lenon, A. K., Leroy, N., Letendre, N., Levin, Y., Li, A., Li, J., K. J. L., Li, T. G. F., Li, Li, X., Lin, F., Linde, F., Linker, S. D., Littenberg, T. B., Liu, J., Liu, X., Llorens-Monteagudo, M., R. K. L., Lo, London, L. T., Longo, A., Lorenzini, M., Loriette, V., Lormand, M., Losurdo, G., Lough, J. D., Lousto, C. O., Lovelace, G., Lower, M. E., Lück, H., Lumaca, D., Lundgren, A. P., Lynch, R., Ma, Y., Macas, R., Macfoy, S., Macinnis, M., Macleod, D. M., Macquet, A., Magaña Hernandez, I., Magaña-Sandoval, F., Magee, R. M., Majorana, E., Maksimovic, I., Malik, A., Man, N., Mandic, V., Mangano, V., Mansell, G. L., Manske, M., Mantovani, M., Mapelli, M., Marchesoni, F., Marion, F., Márka, S., Márka, Z., Markakis, C., Markosyan, A. S., Markowitz, A., Maros, E., Marquina, A., Marsat, S., Martelli, F., Martin, I. W., Martin, R. M., Martinez, V., Martynov, D. V., Masalehdan, H., Mason, K., Massera, E., Masserot, A., Massinger, T. J., Masso-Reid, M., Mastrogiovanni, S., Matas, A., Matichard, F., Matone, L., Mavalvala, N., Mccann, J. J., Mccarthy, R., Mcclelland, D. E., Mccormick, S., Mcculler, L., Mcguire, S. C., Mcisaac, C., Mciver, J., Mcmanus, D. J., Mcrae, T., Mcwilliams, S. T., Meacher, D., Meadors, G. D., Mehmet, M., Mehta, A. K., Meidam, J., Mejuto Villa, E., Melatos, A., Mendell, G., Mercer, R. A., Mereni, L., Merfeld, K., Merilh, E. 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G., Collins, C., Colpi, M., Cominsky, L. R., Constancio, M., Conti, L., Cooper, S. J., Corban, P., Corbitt, T. R., Cordero-Carrión, I., Corezzi, S., Corley, K. R., Cornish, N., Corre, D., Corsi, A., Cortese, S., Costa, C. A., Cotesta, R., Coughlin, M. W., Coughlin, S. B., Coulon, J. -P., Countryman, S. T., Couvares, P., Covas, P. B., Cowan, E. E., Coward, D. M., Cowart, M. J., Coyne, D. C., Coyne, R., Creighton, J. D. E., Creighton, T. D., Cripe, J., Croquette, M., Crowder, S. G., Cullen, T. J., Cumming, A., Cunningham, L., Cuoco, E., Canton, T. Dal, Dálya, G., D’Angelo, B., Danilishin, S. L., D’Antonio, S., Danzmann, K., Dasgupta, A., Costa, C. F. Da Silva, Datrier, L. E. H., Dattilo, V., Dave, I., Davier, M., Davis, D., Daw, E. J., Debra, D., Deenadayalan, M., Degallaix, J., Laurentis, M. De, Deléglise, S., Pozzo, W. Del, Demarchi, L. M., Demos, N., Dent, T., Pietri, R. De, Rosa, R. De, Rossi, C. De, Desalvo, R., Varona, O. de, Dhurandhar, S., Díaz, M. C., Dietrich, T., Fiore, L. Di, Difronzo, C., Giorgio, C. Di, Giovanni, F. Di, Giovanni, M. Di, Girolamo, T. Di, Lieto, A. Di, Ding, B., Pace, S. Di, Palma, I. Di, Renzo, F. Di, Divakarla, A. K., Dmitriev, A., Doctor, Z., Donovan, F., Dooley, K. L., Doravari, S., Dorrington, I., Downes, T. P., Drago, M., Driggers, J. C., Du, Z., Ducoin, J. -G., Dupej, P., Durante, O., Dwyer, S. E., Easter, P. J., Eddolls, G., Edo, T. B., Effler, A., Ehrens, P., Eichholz, J., Eikenberry, S. S., Eisenmann, M., Eisenstein, R. A., Errico, L., Essick, R. C., Estelles, H., Estevez, D., Etienne, Z. B., Etzel, T., Evans, M., Evans, T. M., Fafone, V., Fairhurst, S., Fan, X., Farinon, S., Farr, B., Farr, W. M., Fauchon-Jones, E. J., Favata, M., Fays, M., Fazio, M., Fee, C., Feicht, J., Fejer, M. M., Feng, F., Fernandez-Galiana, A., Ferrante, I., Ferreira, E. C., Ferreira, T. A., Fidecaro, F., Fiori, I., Fiorucci, D., Fishbach, M., Fisher, R. P., Fishner, J. M., Fittipaldi, R., Fitz-Axen, M., Fiumara, V., Flaminio, R., Fletcher, M., Floden, E., Flynn, E., Fong, H., Font, J. A., Forsyth, P. W. F., Fournier, J. -D., Vivanco, Francisco Hernandez, Frasca, S., Frasconi, F., Frei, Z., Freise, A., Frey, R., Frey, V., Fritschel, P., Frolov, V. V., Fronzè, G., Fulda, P., Fyffe, M., Gabbard, H. A., Gadre, B. U., Gaebel, S. M., Gair, J. R., Gammaitoni, L., Gaonkar, S. G., García-Quirós, C., Garufi, F., Gateley, B., Gaudio, S., Gaur, G., Gayathri, V., Gemme, G., Genin, E., Gennai, A., George, D., George, J., Gergely, L., Ghonge, S., Ghosh, Abhirup, Ghosh, Archisman, Ghosh, S., Giacomazzo, B., Giaime, J. A., Giardina, K. D., Gibson, D. R., Gill, K., Glover, L., Gniesmer, J., Godwin, P., Goetz, E., Goetz, R., Goncharov, B., González, G., Castro, J. M. Gonzalez, Gopakumar, A., Gossan, S. E., Gosselin, M., Gouaty, R., Grace, B., Grado, A., Granata, M., Grant, A., Gras, S., Grassia, P., Gray, C., Gray, R., Greco, G., Green, A. C., Green, R., Gretarsson, E. M., Grimaldi, A., Grimm, S. J., Groot, P., Grote, H., Grunewald, S., Gruning, P., Guidi, G. M., Gulati, H. K., Guo, Y., Gupta, A., Gupta, Anchal, Gupta, P., Gustafson, E. K., Gustafson, R., Haegel, L., Halim, O., Hall, B. R., Hall, E. D., Hamilton, E. Z., Hammond, G., Haney, M., Hanke, M. M., Hanks, J., Hanna, C., Hannam, M. D., Hannuksela, O. A., Hansen, T. J., Hanson, J., Harder, T., Hardwick, T., Haris, K., Harms, J., Harry, G. M., Harry, I. W., Hasskew, R. K., Haster, C. J., Haughian, K., Hayes, F. J., Healy, J., Heidmann, A., Heintze, M. C., Heitmann, H., Hellman, F., Hello, P., Hemming, G., Hendry, M., Heng, I. S., Hennig, J., Heurs, M., Hild, S., Hinderer, T., Hochheim, S., Hofman, D., Holgado, A. M., Holland, N. A., Holt, K., Holz, D. E., Hopkins, P., Horst, C., Hough, J., Howell, E. J., Hoy, C. G., Huang, Y., Hübner, M. T., Huerta, E. A., Huet, D., Hughey, B., Hui, V., Husa, S., Huttner, S. 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M., Koekoek, G., Koley, S., Kondrashov, V., Kontos, A., Koper, N., Korobko, M., Korth, W. Z., Kovalam, M., Kozak, D. B., Krämer, C., Kringel, V., Krishnendu, N., Królak, A., Krupinski, N., Kuehn, G., Kumar, A., Kumar, P., Kumar, Rahul, Kumar, Rakesh, Kuo, L., Kutynia, A., Kwang, S., Lackey, B. D., Laghi, D., Lai, K. H., Lam, T. L., Landry, M., Lane, B. B., Lang, R. N., Lange, J., Lantz, B., Lanza, R. K., Lartaux-Vollard, A., Lasky, P. D., Laxen, M., Lazzarini, A., Lazzaro, C., Leaci, P., Leavey, S., Lecoeuche, Y. K., Lee, C. H., Lee, H. K., Lee, H. M., Lee, H. W., Lee, J., Lee, K., Lehmann, J., Lenon, A. K., Leroy, N., Letendre, N., Levin, Y., Li, A., Li, J., Li, K. J. L., Li, T. G. F., Li, X., Lin, F., Linde, F., Linker, S. D., Littenberg, T. B., Liu, J., Liu, X., Llorens-Monteagudo, M., Lo, R. K. L., London, L. T., Longo, A., Lorenzini, M., Loriette, V., Lormand, M., Losurdo, G., Lough, J. D., Lousto, C. O., Lovelace, G., Lower, M. E., Lück, H., Lumaca, D., Lundgren, A. P., Lynch, R., Ma, Y., Macas, R., Macfoy, S., Macinnis, M., Macleod, D. M., Macquet, A., Hernandez, I. Magaña, Magaña-Sandoval, F., Magee, R. M., Majorana, E., Maksimovic, I., Malik, A., Man, N., Mandic, V., Mangano, V., Mansell, G. L., Manske, M., Mantovani, M., Mapelli, M., Marchesoni, F., Marion, F., Márka, S., Márka, Z., Markakis, C., Markosyan, A. S., Markowitz, A., Maros, E., Marquina, A., Marsat, S., Martelli, F., Martin, I. W., Martin, R. M., Martinez, V., Martynov, D. V., Masalehdan, H., Mason, K., Massera, E., Masserot, A., Massinger, T. J., Masso-Reid, M., Mastrogiovanni, S., Matas, A., Matichard, F., Matone, L., Mavalvala, N., Mccann, J. J., Mccarthy, R., Mcclelland, D. E., Mccormick, S., Mcculler, L., Mcguire, S. C., Mcisaac, C., Mciver, J., Mcmanus, D. J., Mcrae, T., Mcwilliams, S. T., Meacher, D., Meadors, G. D., Mehmet, M., Mehta, A. K., Meidam, J., Villa, E. Mejuto, Melatos, A., Mendell, G., Mercer, R. A., Mereni, L., Merfeld, K., Merilh, E. 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K., Obergaulinger, M., Oberling, J., O’Brien, B. D., Oganesyan, G., Ogin, G. H., Oh, J. J., Oh, S. H., Ohme, F., Ohta, H., Okada, M. A., Oliver, M., Oppermann, P., Oram, Richard J., O’Reilly, B., Ormiston, R. G., Ortega, L. F., O’Shaughnessy, R., Ossokine, S., Ottaway, D. J., Overmier, H., Owen, B. J., Pace, A. E., Pagano, G., Page, M. A., Pagliaroli, G., Pai, A., Pai, S. A., Palamos, J. R., Palashov, O., Palomba, C., Pan, H., Panda, P. K., Pang, P. T. H., Pankow, C., Pannarale, F., Pant, B. C., Paoletti, F., Paoli, A., Parida, A., Parker, W., Pascucci, D., Pasqualetti, A., Passaquieti, R., Passuello, D., Patil, M., Patricelli, B., Payne, E., Pearlstone, B. L., Pechsiri, T. C., Pedersen, A. J., Pedraza, M., Pedurand, R., Pele, A., Penn, S., Perego, A., Perez, C. J., Périgois, C., Perreca, A., Petermann, J., Pfeiffer, H. P., Phelps, M., Phukon, K. S., Piccinni, O. J., Pichot, M., Piergiovanni, F., Pierro, V., Pillant, G., Pinard, L., Pinto, I. M., Pirello, M., Pitkin, M., Plastino, W., Poggiani, R., Pong, D. Y. T., Ponrathnam, S., Popolizio, P., Powell, J., Prajapati, A. K., Prasad, J., Prasai, K., Prasanna, R., Pratten, G., Prestegard, T., Principe, M., Prodi, G. A., Prokhorov, L., Punturo, M., Puppo, P., Pürrer, M., Qi, H., Quetschke, V., Quinonez, P. J., Raab, F. J., Raaijmakers, G., Radkins, H., Radulesco, N., Raffai, P., Raja, S., Rajan, C., Rajbhandari, B., Rakhmanov, M., Ramirez, K. E., Ramos-Buades, A., Rana, Javed, Rao, K., Rapagnani, P., Raymond, V., Razzano, M., Read, J., Regimbau, T., Rei, L., Reid, S., Reitze, D. H., Rettegno, P., Ricci, F., Richardson, C. J., Richardson, J. W., Ricker, P. M., Riemenschneider, G., Riles, K., Rizzo, M., Robertson, N. A., Robinet, F., Rocchi, A., Rolland, L., Rollins, J. G., Roma, V. J., Romanelli, M., Romano, R., Romel, C. L., Romie, J. H., Rose, C. A., Rose, D., Rose, K., Rosińska, D., Rosofsky, S. G., Ross, M. 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R., Smith, R. J. E., Somala, S., Son, E. J., Soni, S., Sorazu, B., Sorrentino, F., Souradeep, T., Sowell, E., Spencer, A. P., Spera, M., Srivastava, A. K., Srivastava, V., Staats, K., Stachie, C., Standke, M., Steer, D. A., Steinke, M., Steinlechner, J., Steinlechner, S., Steinmeyer, D., Stevenson, S. P., Stocks, D., Stone, R., Stops, D. J., Strain, K. A., Stratta, G., Strigin, S. E., Strunk, A., Sturani, R., Stuver, A. L., Sudhir, V., Summerscales, T. Z., Sun, L., Sunil, S., Sur, A., Suresh, J., Sutton, P. J., Swinkels, B. L., Szczepańczyk, M. J., Tacca, M., Tait, S. C., Talbot, C., Tanner, D. B., Tao, D., Tápai, M., Tapia, A., Tasson, J. D., Taylor, R., Tenorio, R., Terkowski, L., Thomas, M., Thomas, P., Thondapu, S. R., Thorne, K. A., Thrane, E., Tiwari, Shubhanshu, Tiwari, Srishti, Tiwari, V., Toland, K., Tonelli, M., Tornasi, Z., Torres-Forné, A., Torrie, C. I., Töyrä, D., Travasso, F., Traylor, G., Tringali, M. C., Tripathee, A., Trovato, A., Trozzo, L., Tsang, K. 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Rc, Etienne, Zb, Evans, Tm, Farr, Wm, Fauchon-Jones, Ej, Fejer, Mm, Ferreira, Ec, Ferreira, Ta, Fisher, Rp, Fishner, Jm, Font, Ja, Forsyth, Pwf, Fournier, Jd, Vivanco, Fh, Frolov, Vv, Fronze, G, Gabbard, Ha, Gadre, Bu, Gaebel, Sm, Gair, Jr, Gaonkar, Sg, Garcia-Quiros, C, Giaime, Ja, Giardina, Kd, Gibson, Dr, Gonzalez, G, Castro, Jmg, Gossan, Se, Green, Ac, Gretarsson, Em, Grimm, Sj, Guidi, Gm, Gulati, Hk, Gustafson, Ek, Hall, Br, Hall, Ed, Hamilton, Ez, Hanke, Mm, Hannam, Md, Hannuksela, Oa, Hansen, Tj, Harry, Gm, Harry, Iw, Hasskew, Rk, Haster, Cj, Hayes, Fj, Heintze, Mc, Holgado, Am, Holland, Na, Holz, De, Howell, Ej, Hoy, Cg, Hubner, Mt, Huerta, Ea, Huttner, Sh, Isa, Hn, Isac, Jm, Iyer, Br, Jadhav, Sj, Janthalur, Nn, Jenkins, Ac, Jones, Aw, Jones, Di, Jones, Jd, Jonker, Rjg, Kalaghatgi, Cv, Kanner, Jb, Kapadia, Sj, Keerthana, Nv, Kefelian, F, Khalili, Fy, Khazanov, Ea, Kim, Jc, Kim, Ym, King, Pj, Klika, Jh, Knowles, Td, Koehlenbeck, Sm, Korth, Wz, Kozak, Db, Kramer, C, Krolak, A, Lackey, Bd, Lai, Kh, Lam, Tl, Lane, Bb, Lang, Rn, Lanza, Rk, Lasky, Pd, Lecoeuche, K, Lee, Ch, Lee, Hk, Lee, Hm, Lee, Hw, Lenon, Ak, Li, Kjl, Li, Tgf, Linker, Sd, Littenberg, Tb, Lo, Rkl, London, Lt, Lough, Jd, Lousto, Co, Lower, Me, Luck, H, Lundgren, Ap, Macleod, Dm, Hernandez, Im, Magana-Sandoval, F, Magee, Rm, Mansell, Gl, Marka, S, Marka, Z, Martin, Iw, Martin, Rm, Martynov, Dv, Massinger, Tj, Mccann, Jj, Mcclelland, De, Mcguire, Sc, Mcmanus, Dj, Mcwilliams, St, Meadors, Gd, Mehta, Ak, Villa, Em, Mercer, Ra, Merilh, El, Meyers, Pm, Miller, L, Mills, Jc, Milovich-Goff, Mc, Mitrofanov, Vp, Mohapatra, Srp, Moore, Cj, Mow-Lowry, M, Muniz, Ea, Murray, Pg, Nayak, Rk, Neil, Bf, Nelson, Tjn, Ng, Ky, Nichols, Sa, Nuttall, Lk, O'Brien, Bd, Ogin, Gh, Oh, Jj, Oh, Sh, Okada, Ma, Oram, Rj, O'Reilly, B, Ormiston, Rg, Ortega, Lf, O'Shaughnessy, R, Ottaway, Dj, Owen, Bj, Pace, Ae, Page, Ma, Pai, Sa, Palamos, Jr, Panda, Pk, Pang, Pth, Pant, Bc, Pearlstone, Bl, Pechsiri, Tc, Pedersen, Aj, Perez, Cj, Perigois, C, Pfeiffer, Hp, Piccinni, Oj, Pinto, Im, Pong, Dyt, Porter, Ek, Prajapati, Ak, Prodi, Ga, Purrer, M, Quinonez, Pj, Raab, Fj, Ramirez, Ke, Reitze, Dh, Richardson, Cj, Richardson, Jw, Ricker, Pm, Robertson, Na, Rollins, Jg, Roma, Vj, Romel, Cl, Romie, Jh, Rose, Ca, Rosinska, D, Rosofsky, Sg, Ross, Mp, Rudiger, A, Sanchez, Ej, Sanchez, Le, Sanders, Jr, Santiago, Ka, Savage, Rl, Schofield, Rm, Schonbeck, A, Schulte, Bw, Schutz, Bf, Scott, Sm, Shaddock, Da, Shaner, Mb, Shoemaker, Dh, Shoemaker, Dm, Singer, Lp, Sintes, Am, Slagmolen, Bjj, Slaven-Blair, Tj, Smith, Jr, Smith, Rje, Son, Ej, Spencer, Ap, Srivastava, Ak, Steer, Da, Stevenson, Sp, Stops, Dj, Strain, Ka, Strigin, Se, Stuver, Al, Summerscales, Tz, Sutton, Pj, Swinkels, Bl, Szczepanczyk, Mj, Tait, Sc, Tanner, Db, Tapai, M, Tasson, Jd, Thondapu, Sr, Thorne, Ka, Torres-Forne, A, Torrie, Ci, Toyra, D, Tringali, Mc, Tsang, Kw, Urban, Al, Usman, Sa, van Bakel, N, van Beuzekom, M, van den Brand, Jfj, Van Den Broeck, C, Vander-Hyde, Dc, van der Schaaf, L, Vanheijningen, Jv, van Veggel, Aa, Vasuth, M, Veitch, Pj, Vicere, A, Viets, Ad, Vine, Dj, Vinet, Jy, Vyatchanin, Sp, Wade, Ar, Wade, Le, Wang, Jz, Wang, Wh, Wang, Yf, Ward, Rl, Warden, Za, Wei, Lw, Weinstein, Aj, Wessel, K, Wessels, P, Westhouse, Jw, Whelan, Jt, Whiting, Bf, Wilken, Dm, Williamson, Ar, Willis, Jl, Wipf, Cc, Wofford, Jk, Wright, Jl, Wysocki, Dm, Yancey, Cc, Yap, Mj, Yeeles, Dw, Yu, Hc, Yuen, Shr, Zadrozny, Ak, Zadrozny, A, Zendri, Jp, Zhu, Xj, Zimmerman, Ab, and Zucker, Me
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Burst astrophysic ,Astrofísica ,neutron star: binary ,010504 meteorology & atmospheric sciences ,Binary number ,Astrophysics ,01 natural sciences ,LIGO ,QC ,SUPERNOVA ,relativistic jets ,QB ,High Energy Astrophysical Phenomena (astro-ph.HE) ,Settore FIS/01 ,counterpart ,GRB ,Gravitational waves (678) ,Physical Sciences ,RELATIVISTIC JETS ,Astrophysics - High Energy Astrophysical Phenomena ,Gravitational wave ,Gravitation ,stars ,black-hole ,Astrophysics::High Energy Astrophysical Phenomena ,General Relativity and Quantum Cosmology (gr-qc) ,precursor activity ,Gravitational waves ,Settore FIS/05 - Astronomia e Astrofisica ,supernova ,CORE-COLLAPSE ,Gamma-ray burst ,Gravitational wave sources ,Science & Technology ,Virgo ,RCUK ,Astronomy and Astrophysics ,High energy astrophysics (739) ,Redshift ,Dewey Decimal Classification::500 | Naturwissenschaften::520 | Astronomie, Kartographie ,detector: sensitivity ,VIRGO ,Space and Planetary Science ,gravitational radiation: emission ,BLACK-HOLE ,ddc:520 ,Gravitational wave astronomy ,[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph] ,STARS ,Gravitació ,Astronomy ,Signal ,General Relativity and Quantum Cosmology ,Burst astrophysics ,localization ,emission ,010303 astronomy & astrophysics ,Physics ,Detector ,Gamma-ray bursts (629) ,[PHYS.GRQC]Physics [physics]/General Relativity and Quantum Cosmology [gr-qc] ,Gravitational wave source ,PRECURSOR ACTIVITY ,Gamma-ray bursts ,LIGO (920) ,High energy astrophysics ,data analysis method ,Burst astrophysics (187) ,FOS: Physical sciences ,Astrophysics::Cosmology and Extragalactic Astrophysics ,gamma ray: burst ,Astronomy & Astrophysics ,MASS ,gravitational radiation: direct detection ,Gravitational wave astronomy, Gravitational wave sources, LIGO ,Gravitational waves, Gamma-ray bursts, Burst astrophysics, High energy astrophysics ,Gravitational wave astronomy (675) ,electromagnetic field: production ,0103 physical sciences ,numerical calculations ,gravitational waves ,STFC ,0105 earth and related environmental sciences ,gravitational waves,neutron stars ,COUNTERPART ,gravitational radiation ,core-collapse ,gravitational radiation detector ,Gravitational wave sources (677) ,radiation ,Neutron star ,Physics and Astronomy ,mass ,RADIATION ,EMISSION - Abstract
We present the results of targeted searches for gravitational-wave transients associated with gamma-ray bursts during the second observing run of Advanced LIGO and Advanced Virgo, which took place from 2016 November to 2017 August. We have analyzed 98 gamma-ray bursts using an unmodeled search method that searches for generic transient gravitational waves and 42 with a modeled search method that targets compact-binary mergers as progenitors of short gamma-ray bursts. Both methods clearly detect the previously reported binary merger signal GW170817, with p-values of, 0, info:eu-repo/semantics/published
- Published
- 2019
23. Phylogenetic signal, function and integration in the subunits of the carnivoran mandible
- Author
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Meloro, Carlo, Raia, Pasquale, Carotenuto, Francesco, and Cobb, Samuel N.
- Published
- 2011
- Full Text
- View/download PDF
24. A technique for treating patello-femoral instability in immature patients: the tibial tubercle periosteum transfer
- Author
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Savarese, Eugenio, Bisicchia, Salvatore, Carotenuto, Francesco, and Ippolito, Ernesto
- Published
- 2011
- Full Text
- View/download PDF
25. Diversity and turnover of Plio-Pleistocene large mammal fauna from the Italian Peninsula
- Author
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Meloro, Carlo, Raia, Pasquale, Carotenuto, Francesco, and Barbera, Carmela
- Published
- 2008
- Full Text
- View/download PDF
26. Rensch's and Bergmann's Rules in Cis-Andean South-American Howler Monkeys (Mammalia: Alouatta)
- Author
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Bubadue, Jamile de Moura, Sa Polidoro, George Lucas, Melo, Geruza, Sponchiado, Jonas, Serio, Carmela, Melchionna, Marina, Mondanaro, Alessandro, Castiglione, Silvia, Meloro, Carlo, Raia, Pasquale, Caceres, Nilton Carlos, Carotenuto, Francesco, Bubadue, Jamile de Moura, Sa Polidoro, George Luca, Melo, Geruza, Sponchiado, Jona, Serio, Carmela, Melchionna, Marina, Mondanaro, Alessandro, Castiglione, Silvia, Meloro, Carlo, Raia, Pasquale, Caceres, Nilton Carlo, and Carotenuto, Francesco
- Abstract
Howler monkeys (genus Alouatta) are large folivorous primates living in South America. We tested for the application of both Rensch's rule and Bergmann's rule to body size variation in Alouatta. We found that Rensch's rule does apply in howlers. In Alouatta, males exploit dominance rank competition, and take advantage from seasonal abundance of high nutritious fruit supply in their diet. This mating system and dietary charateristics suggest positive male selection for body size is responsible for Rensch's rule. However, since folivory favors large body size in primates (to lower mass specific metabolic rate) and it is the primary dietary habitus in howlers, larger species do occur in the Amazon basin, originating a reversed Bergmann's rule pattern for both males and females at the interspecific level. The spatial and phylogenetic components of such body size patterns of variation are both important, implying Alouatta ecomorphological differences to occur above the species level, justifying their non-overlapping geographic distribution.
- Published
- 2018
27. The blue lizard spandrel and the island syndrome
- Author
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Monti Daria M, Carotenuto Francesco, Rippa Daniela, Polese Gianluca, Turano Mimmo, Guarino Fabio M, Raia Pasquale, Cardi Manuela, and Fulgione Domenico
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Evolution ,QH359-425 - Abstract
Abstract Background Many small vertebrates on islands grow larger, mature later, lay smaller clutches/litters, and are less sexually dimorphic and aggressive than their mainland relatives. This set of observations is referred to as the 'Island Syndrome'. The syndrome is linked to high population density on islands. We predicted that when population density is low and/or fluctuating insular vertebrates may evolve correlated trait shifts running opposite to the Island Syndrome, which we collectively refer to as the 'reversed island syndrome' (RIS) hypothesis. On the proximate level, we hypothesized that RIS is caused by increased activity levels in melanocortin receptors. Melanocortins are postranslational products of the proopiomelanocortin gene, which controls pleiotropically pigmentation, aggressiveness, sexual activity, and food intake in vertebrates. Results We tested the RIS hypothesis performing a number of behavioral, genetic, and ontogenetic tests on a blue colored insular variant of the Italian Wall lizard Podarcis sicula, living on a small island off the Southern Italian coast. The population density of this blue-colored variant was generally low and highly fluctuating from one year to the next. In keeping with our predictions, insular lizards were more aggressive and sexually dimorphic than their mainland relatives. Insular males had wide, peramorphic heads. The growth rate of insular females was slower than growth rates of mainland individuals of both sexes, and of insular males. Consequently, size and shape dimorphism are higher on the Island. As predicted, melanocortin receptors were much more active in individuals of the insular population. Insular lizards have a higher food intake rate than mainland individuals, which is consistent with the increased activity of melanocortin receptors. This may be adaptive in an unpredictable environment such as Licosa Island. Insular lizards of both sexes spent less time basking than their mainland relatives. We suspect this is a by-product (spandrel) of the positive selection for increased activity of melanocortins receptors. Conclusions We contend that when population density is either low or fluctuating annually as a result of environmental unpredictability, it may be advantageous to individuals to behave more aggressively, to raise their rate of food intake, and allocate more energy into reproduction.
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- 2010
- Full Text
- View/download PDF
28. Character displacement under influence of Bergmann’s rule in Cerdocyon thous (Mammalia: Canidae)
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de Moura Bubadué, J., Cáceres, N., dos Santos Carvalho, R., Sponchiado, J., Saggese, F., Mondanaro, A., PASSARO, FEDERICO, RAIA, PASQUALE, CAROTENUTO, FRANCESCO, de Moura Bubadué, J., Cáceres, N., dos Santos Carvalho, R., Sponchiado, J., Passaro, Federico, Saggese, F., Mondanaro, A., Raia, Pasquale, and Carotenuto, Francesco
- Subjects
Canidae ,crab-eating fox ,geometric morphometrics ,sexual size dimorphism ,shape disparity ,South America ,Bergmann’s rule ,character displacement - Abstract
In South America, the crab-eating fox Cerdocyon thous occurs in sympatry to the ecologically similar, and phylogenetically close Lycalopex vetulus to the North, and Lycalopex gymnocercus to the South of its range. We studied character displacement in Cerdocyon under the effect of Bergmann's rule and the presence (or absence either) of Lycalopex within the crab-eating fox range. We performed skull shape analysis on 191 C. thous specimens and divided them in three distinct groups, depending on whether Cerdocyon occurs in sympatry or in allopatry to Lycalopex species. We tested for differences in size and shape between Cerdocyon groups and regressed both skull size and sexual size dimorphism against latitude and temperature, while controlling for spatial autocorrelation in the phenotypes. Southern Cerdocyon specimens present enlarged temporalis muscle and slender carnassial, both suggestive of a shift towards increased carnivory. Such a niche shift is interpreted as a mean to reduce competition to the larger Lycalopex species, which is still smaller than Cerdocyon. Consistently with the above, the degree of sexual shape and size dimorphism in Cerdocyon increases southward. We found a complex but coherent pattern of size and shape differentiation in Cerdocyon groups, which is consistent with the effects of both competition and Bergmann's rule. Cerdocyon reduces competition to Lycalopex by growing larger in the North. To the South, Cerdocyon is still larger, in keeping with Bergmann's rule, but strongly differs in skull shape from both its Lycalopex competitor and from any other Cerdocyon. Since the Southern Lycalopex species is much more similar in size to Cerdocyon than its Northern congeneric, this suggests that shape differences serve the goal of reducing competition between Cerdocyon and Lycalopex to the South, as size differences do to the North. The absence of the hypercarnivorous canid Speothos venaticus from the southern range of Cerdocyon may have allowed such a pattern to take place.
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- 2016
29. MInOSSE: A new method to reconstruct geographic ranges of fossil species.
- Author
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Carotenuto, Francesco, Di Febbraro, Mirko, Mondanaro, Alessandro, Castiglione, Silvia, Serio, Carmela, Melchionna, Marina, Rook, Lorenzo, Raia, Pasquale, and Qiao, Huijie
- Subjects
FOSSILS ,MACHINE learning ,SPECIES distribution ,NUMBERS of species ,POLYGONS - Abstract
Estimating fossil species' geographic range is a major goal for paleobiologists. In the deep time, this is most commonly performed by using polygon‐based methods such as the minimum convex polygon (MCP) or the Alpha‐Hull. Unfortunately, such methods provide a poor representation of the fossil species' actual range, because they are unable to take control of the severe stochastic and taphonomic biases.Here, we introduce MInOSSE (massively interpolated occurrences for species spatial estimation), a model‐based method that combines a machine learning algorithm and geostatistical approaches to reconstruct a target fossil species' geographic ranges by relying on the distribution of other coeval species and without using environmental predictors.We tested MInOSSE by using many simulated fossil species' distributions, comparing its performance with MCP and Alpha‐Hull outcomes and applying it to real case studies.In all simulations, MInOSSE outperformed the competing methods. Interestingly, the superior performance of MInOSSE becomes more apparent when the fossil record of the target species is scarce, that is, when appropriate range reconstruction is most problematic with polygon‐based methods.MInOSSE is a powerful tool for researchers interested in studying geographic range evolution, effects of range size on extinction risk, as well as biodiversity dynamics and macroecological patterns in the deep time. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
30. Design and implementation of a mobile device app for network-based earthquake early warning systems (EEWSs): application to the PRESTo EEWS in southern Italy.
- Author
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Colombelli, Simona, Carotenuto, Francesco, Elia, Luca, and Zollo, Aldo
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MOBILE apps ,EARTHQUAKES ,SEISMIC networks ,EARTHQUAKE resistant design ,LEAD time (Supply chain management) - Abstract
A fundamental feature of any earthquake early warning system is the ability of rapidly broadcast earthquake information to reach a wide audience of potential end users and stakeholders, in an intuitive, customizable way. Smartphones and other mobile devices are nowadays continuously connected to the Internet and represent the ideal tools for earthquake alerts dissemination to inform a large number of users about the potential damaging shaking of an impending earthquake. Here we present a mobile app (named ISNet EWApp or simply EWApp) for Android devices which can receive the alerts generated by a network-based Early Warning system. Specifically, the app receives the earthquake alerts generated by the PRESTo EEWS, which is currently running on the accelerometric stations of the Irpinia Seismic Network (ISNet) in southern Italy. In the absence of alerts, EWApp displays the standard bulletin of seismic events that have occurred within the network. In the event of a relevant earthquake, the app has a dedicated module to predict the expected ground-shaking intensity and the available lead time at the user's position and to provide customized messages to inform the user about the proper reaction to adopt during the alert. We first present the architecture of both the network-based system and EWApp and then describe its essential operational modes. The app is designed in a way that is easily exportable to any other network-based early warning system. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
31. Design and implementation of a mobile device APP for network-based EEW systems: application to PRESTo EEWS in Southern Italy.
- Author
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Colombelli, Simona, Carotenuto, Francesco, Elia, Luca, and Zollo, Aldo
- Subjects
MOBILE apps ,SEISMIC networks ,EARTHQUAKE resistant design ,LEAD time (Supply chain management) ,EARTHQUAKES - Abstract
A fundamental feature of any Earthquake Early Warning System is the ability of rapidly broadcast earthquake information to a wide audience of potential end users and stakeholders, in an intuitive, customizable way. Smartphones and other mobile devices are nowadays continuously connected to the internet and represent the ideal tools for earthquake alerts dissemination, to inform a large number of users about the potential damaging shaking of an impending earthquake. Here we present a mobile App (named ISNet EWApp) for Android devices which can receive the alerts generated by a network-based Early Warning system. Specifically, the app receives the earthquake alerts generated by the PRESTo EWS, which is currently running on the accelerometric stations of the Irpinia Seismic Network (ISNet) in Southern Italy. In the absence of alerts, the EWApp displays the standard bulletin of seismic events occurred within the network. In the event of a relevant earthquake, instead, the app has a dedicated module to predict the expected ground shaking intensity and the available lead-time at the user position and to provide customized messages to inform the user about the proper reaction during the alert. We first present the architecture of both network-based system and EWApp, and then and describe its essential operational modes. The app is designed in a way that is easily exportable to any other network-based early warning system. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
- View/download PDF
32. Additive effects of climate change and human hunting explain population decline and extinction in cave bears.
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Mondanaro, Alessandro, Di Febbraro, Mirko, Melchionna, Marina, Carotenuto, Francesco, Castiglione, Silvia, Serio, Carmela, Danisi, Simone, Rook, Lorenzo, Diniz‐Filho, Jose Alexandre F., and Raia, Pasquale
- Subjects
CLIMATE change ,CAVES ,BEAR populations ,POPULATION ,BIOLOGICAL extinction - Abstract
Cave bears (Ursus spelaeus) are an iconic component of the European late Quaternary Ice Age megafauna. Recent demographic analyses based on cave bear mtDNA sequences and refined radiocarbon dating indicate that cave bear population size and genetic diversity started to decline some 50 kilo years ago (kya). Hence, neither the coldest phase of the last glaciation (started some 24 kya), nor the colonization of Europe by Palaeolithic hunters (started some 45 kya) coincides with the beginning of population decline. Here, we reconstructed cave bear climatic niche evolution through time. Then, we performed spatially explicit population viability analyses to assess cave bear demographics through time in response to climatic changes, human effects on bear survival and their combination. We found that climate change was responsible for a 10‐fold decrease in cave bear population size after 40 kya. However, climate change on its own could not explain U. spelaeus extinction at 24 kya. Additional negative effects consistent with human population expansion are required to explain both U. spelaeus' retreat from eastern Europe since 40 kya and its final extinction. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
- View/download PDF
33. Emotion Regulation and Parental Bonding in Families of Adolescents With Internalizing and Externalizing Symptoms.
- Author
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Mannarini, Stefania, Balottin, Laura, Palmieri, Arianna, and Carotenuto, Francesco
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ADOLESCENCE ,STRICT parenting ,LATENT class analysis (Statistics) ,FAMILIES ,MENTAL illness ,CHILD development ,ALEXITHYMIA - Abstract
Parental bonding and emotional regulation, while important to explain difficulties that may arise in child development, have mainly been studied at an individual level. The present study aims to examine alexithymia and parental bonding in families of adolescents with psychiatric disorders through different generations. The sample included a total of 102 adolescent patients with psychiatric disorders and their parents. In order to take a family level approach, a Latent Class Analysis was used to identify the latent relationships among alexithymia (Toronto Alexithymia Scale), perceived parental bonding (Parental Bonding Instrument) and the presence of adolescent internalizing or externalizing psychiatric symptoms (Youth Self-Report). Families of internalizing and externalizing adolescents present different and specific patterns of emotional regulation and parenting. High levels of adolescent alexithymia, along with a neglectful parenting style perceived by the adolescent and the father as well, characterized the families of patients with internalizing symptoms. On the other hand, in the families with externalizing adolescents, it was mainly the mother to remember an affectionless control parental style. These results suggest the existence of an intergenerational transmission of specific parental bonding, which may influence the emotional regulation and therefore the manifestation of psychiatric symptoms. [ABSTRACT FROM AUTHOR]
- Published
- 2018
- Full Text
- View/download PDF
34. Predicted sea-level changes and evolutionary estimates for age of isolation in Central Mediterranean insular lizards.
- Author
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Raia, Pasquale, Ferranti, Luigi, Castiglione, Silvia, Melchionna, Marina, Saggese, Fiorella, Raimondi, Ranieri, Serio, Carmela, Carotenuto, Francesco, Passaro, Federico, and Antonioli, Fabrizio
- Subjects
BIOLOGICAL evolution ,PODARCIS ,LIZARD evolution ,LACERTIDAE ,REPTILE evolution - Abstract
Rates of biological evolution on islands are often presumed to exceed rates on the mainland. We tested this postulation by computing the evolutionary rate of head shape in Italian wall lizard Podarcis siculus, occurring on four islands off the coast of Southern Italy. We calculated the evolutionary rate using a phylogenetic tree whose node ages were derived from Lambeck et al. predicted ages of geographic isolation of the islands. Such ages are based on a relative sea-level change model for the late Pleistocene–Holocene. Through a likelihood optimization procedure, our method allows computing, besides the evolutionary rate, biological estimates of the ages of insular populations, with this indirectly testing Lambeck et al.’s model estimates. We found that the rate of evolution in Podarcis head shapes on islands is not statistically different from the mainland rate, although insular lizards have distinctive head shapes. Overall, the insular phenotype took 1–4000 years to arise (differing among islands). The estimated ages of insular populations are lower than Lambeck et al.’s estimates and fall in the 5- to 6-ka interval. [ABSTRACT FROM AUTHOR]
- Published
- 2017
- Full Text
- View/download PDF
35. SLAM Map Application for Tracking Lights on Car Dashboards.
- Author
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Carotenuto, Francesco, Erra, Ugo, and Scarano, Vittorio
- Published
- 2014
- Full Text
- View/download PDF
36. Ecogeographical variation in skull morphometry of howler monkeys (Primates: Atelidae).
- Author
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Meloro, Carlo, Cáceres, Nilton, Carotenuto, Francesco, Passaro, Federico, Sponchiado, Jonas, Melo, Geruza Leal, and Raia, Pasquale
- Subjects
BIOLOGICAL variation ,SKULL morphology ,ANIMAL ecology ,HOWLER monkeys ,MULTIVARIATE analysis ,SEXUAL dimorphism - Abstract
Our aim is to identify ecomorphological adaptations in the skull shape of the South American howler monkeys (species of the genus Alouatta, Lacépède, 1799, Primates, Atelidae). Since Alouatta is relatively homogenous in feeding ecology, we expect skull shape variation to be relatively conservative across species. We used geometric morphometrics to quantify craniodental morphology in six species of Alouatta. Multivariate regression, two-block Partial Least Squares, and variation partitioning were used to test for the impact of taxonomy, sexual dimorphism, allometry, geography and climate on skull shape. We found morphological overlap among species and sexes, although some discrimination occurs between species living in seasonal environments as opposed to rain forest species. There was a negative latitudinal gradient in skull size across species, with size explaining 34% of total shape variance. Latitude and climate, though important, were secondary in explaining shape variance. Amazonian Alouatta are larger, have thinner molars, wide incisors, and proportionally larger neurocranium. Overall, the shape of southern species seem well adapted to cope with proportionally tougher food items, whereas Amazonian species seem better equipped to deal with a diet richer in fruits, as confirmed by independent field observations. The small size of Alouatta in the South is possibly linked to the effect of competition with the larger folivorous atelid Brachyteles. [ABSTRACT FROM AUTHOR]
- Published
- 2014
- Full Text
- View/download PDF
37. The blue lizard spandrel and the island syndrome.
- Author
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Raia, Pasquale, Guarino, Fabio M., Turano, Mimmo, Polese, Gianluca, Rippa, Daniela, Carotenuto, Francesco, Monti, Daria M., Cardi, Manuela, and Fulgione, Domenico
- Subjects
VERTEBRATES ,ISLANDS ,POPULATION density ,PROOPIOMELANOCORTIN ,SEXUAL intercourse - Abstract
Background: Many small vertebrates on islands grow larger, mature later, lay smaller clutches/litters, and are less sexually dimorphic and aggressive than their mainland relatives. This set of observations is referred to as the 'Island Syndrome'. The syndrome is linked to high population density on islands. We predicted that when population density is low and/or fluctuating insular vertebrates may evolve correlated trait shifts running opposite to the Island Syndrome, which we collectively refer to as the 'reversed island syndrome' (RIS) hypothesis. On the proximate level, we hypothesized that RIS is caused by increased activity levels in melanocortin receptors. Melanocortins are postranslational products of the proopiomelanocortin gene, which controls pleiotropically pigmentation, aggressiveness, sexual activity, and food intake in vertebrates. Results: We tested the RIS hypothesis performing a number of behavioral, genetic, and ontogenetic tests on a blue colored insular variant of the Italian Wall lizard Podarcis sicula, living on a small island off the Southern Italian coast. The population density of this blue-colored variant was generally low and highly fluctuating from one year to the next. In keeping with our predictions, insular lizards were more aggressive and sexually dimorphic than their mainland relatives. Insular males had wide, peramorphic heads. The growth rate of insular females was slower than growth rates of mainland individuals of both sexes, and of insular males. Consequently, size and shape dimorphism are higher on the Island. As predicted, melanocortin receptors were much more active in individuals of the insular population. Insular lizards have a higher food intake rate than mainland individuals, which is consistent with the increased activity of melanocortin receptors. This may be adaptive in an unpredictable environment such as Licosa Island. Insular lizards of both sexes spent less time basking than their mainland relatives. We suspect this is a by-product (spandrel) of the positive selection for increased activity of melanocortins receptors. Conclusions: We contend that when population density is either low or fluctuating annually as a result of environmental unpredictability, it may be advantageous to individuals to behave more aggressively, to raise their rate of food intake, and allocate more energy into reproduction. [ABSTRACT FROM AUTHOR]
- Published
- 2010
- Full Text
- View/download PDF
38. Early Detection of Wild Rocket Tracheofusariosis Using Hyperspectral Image-Based Machine Learning.
- Author
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Pane, Catello, Manganiello, Gelsomina, Nicastro, Nicola, and Carotenuto, Francesco
- Subjects
MACHINE learning ,FUSARIUM oxysporum ,COLONIZATION (Ecology) ,DISEASE progression ,SPECTRAL imaging - Abstract
Fusarium oxysporum f. sp. raphani is responsible for wilting wild rocket (Diplotaxis tenuifolia L. [D.C.]). A machine learning model based on hyperspectral data was constructed to monitor disease progression. Thus, pathogenesis after artificial inoculation was monitored over a 15-day period by symptom assessment, qPCR pathogen quantification, and hyperspectral imaging. The host colonization by a pathogen evolved accordingly with symptoms as confirmed by qPCR. Spectral data showed differences as early as 5-day post infection and 12 hypespectral vegetation indices were selected to follow disease development. The hyperspectral dataset was used to feed the XGBoost machine learning algorithm with the aim of developing a model that discriminates between healthy and infected plants during the time. The multiple cross-prediction strategy of the pixel-level models was able to detect hyperspectral disease profiles with an average accuracy of 0.8. For healthy pixel detection, the mean Precision value was 0.78, the Recall was 0.88, and the F1 Score was 0.82. For infected pixel detection, the average evaluation metrics were Precision: 0.73, Recall: 0.57, and F1 Score: 0.63. Machine learning paves the way for automatic early detection of infected plants, even a few days after infection. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
39. Powdery Mildew Caused by Erysiphe cruciferarum on Wild Rocket (Diplotaxis tenuifolia): Hyperspectral Imaging and Machine Learning Modeling for Non-Destructive Disease Detection.
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Pane, Catello, Manganiello, Gelsomina, Nicastro, Nicola, Cardi, Teodoro, and Carotenuto, Francesco
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MACHINE learning ,POWDERY mildew diseases ,RANDOM forest algorithms ,SPECTRAL sensitivity ,IMAGE analysis ,CHLOROPHYLL - Abstract
Wild rocket is a widely cultivated salad crop. Typical signs and symptoms of powdery mildew were observed on leaves of Diplotaxis tenuifolia, likely favored by climatic conditions occurring in a greenhouse. Based on morphological features and molecular analysis, the disease agent was identified as the fungal pathogen Erysiphe cruciferarum. To the best of our knowledge, this is the first report of E. cruciferarum on D. tenuifolia. Moreover, the present study provides a non-destructive high performing digital approach to efficiently detect the disease. Hyperspectral image analysis allowed to characterize the spectral response of wild rocket affected by powdery mildew and the adopted machine-learning approach (a trained Random Forest model with the four most contributory wavelengths falling in the range 403–446 nm) proved to be able to accurately discriminate between healthy and diseased wild rocket leaves. Shifts in the irradiance absorption by chlorophyll a of diseased leaves in the spectrum blue range seems to be at the base of the hyperspectral imaging detection of wild rocket powdery mildew. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
40. Insights into Mechanical Properties of the 1980 Irpinia Fault System from the Analysis of a Seismic Sequence.
- Author
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Festa, Gaetano, Adinolfi, Guido Maria, Caruso, Alessandro, Colombelli, Simona, De Landro, Grazia, Elia, Luca, Emolo, Antonio, Picozzi, Matteo, Scala, Antonio, Carotenuto, Francesco, Gammaldi, Sergio, Iaccarino, Antonio Giovanni, Nazeri, Sahar, Riccio, Rosario, Russo, Guido, Tarantino, Stefania, and Zollo, Aldo
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SEQUENCE analysis ,PARAMETER estimation ,SURFACE fault ruptures ,EARTHQUAKES ,INSIGHT - Abstract
Seismic sequences are a powerful tool to locally infer geometrical and mechanical properties of faults and fault systems. In this study, we provided detailed location and characterization of events of the 3–7 July 2020 Irpinia sequence (southern Italy) that occurred at the northern tip of the main segment that ruptured during the 1980 Irpinia earthquake. Using an autocorrelation technique, we detected more than 340 events within the sequence, with local magnitude ranging between −0.5 and 3.0. We thus provided double difference locations, source parameter estimation, and focal mechanisms determination for the largest quality events. We found that the sequence ruptured an asperity with a size of about 800 m, along a fault structure having a strike compatible with the one of the main segments of the 1980 Irpinia earthquake, and a dip of 50–55° at depth of 10.5–12 km and 60–65° at shallower depths (7.5–9 km). Low stress drop release (average of 0.64 MPa) indicates a fluid-driven initiation mechanism of the sequence. We also evaluated the performance of the earthquake early warning systems running in real-time during the sequence, retrieving a minimum size for the blind zone in the area of about 15 km. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
41. Insights into mechanical properties of the 1980 irpinia fault system from the analysis of a seismic sequence
- Author
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Luca Elia, Sergio Gammaldi, Gaetano Festa, Antonio Scala, Sahar Nazeri, Aldo Zollo, Alessandro Caruso, Guido Russo, Antonio Emolo, Antonio Giovanni Iaccarino, Grazia De Landro, Stefania Tarantino, Guido Maria Adinolfi, Francesco Carotenuto, Rosario Riccio, Matteo Picozzi, Simona Colombelli, Festa, Gaetano, Adinolfi, Guido Maria, Caruso, Alessandro, Colombelli, Simona, De Landro, Grazia, Elia, Luca, Emolo, Antonio, Picozzi, Matteo, Scala, Antonio, Carotenuto, Francesco, Gammaldi, Sergio, Iaccarino, Antonio Giovanni, Nazeri, Sahar, Riccio, Rosario, Russo, Guido, Tarantino, Stefania, and Zollo, Aldo
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010504 meteorology & atmospheric sciences ,Blind zone ,Magnitude (mathematics) ,Fault (geology) ,010502 geochemistry & geophysics ,Earthquake seismology ,Microseismicity ,Seismic techniques ,Seismotectonics ,01 natural sciences ,Computer Science::Hardware Architecture ,Sequence (geology) ,Computer Science::Operating Systems ,Computer Science::Distributed, Parallel, and Cluster Computing ,0105 earth and related environmental sciences ,geography ,geography.geographical_feature_category ,Autocorrelation technique ,lcsh:QE1-996.5 ,Ranging ,lcsh:Geology ,seismotectonics ,General Earth and Planetary Sciences ,Geology ,Seismology ,Asperity (materials science) - Abstract
Seismic sequences are a powerful tool to locally infer geometrical and mechanical properties of faults and fault systems. In this study, we provided detailed location and characterization of events of the 3&ndash, 7 July 2020 Irpinia sequence (southern Italy) that occurred at the northern tip of the main segment that ruptured during the 1980 Irpinia earthquake. Using an autocorrelation technique, we detected more than 340 events within the sequence, with local magnitude ranging between &minus, 0.5 and 3.0. We thus provided double difference locations, source parameter estimation, and focal mechanisms determination for the largest quality events. We found that the sequence ruptured an asperity with a size of about 800 m, along a fault structure having a strike compatible with the one of the main segments of the 1980 Irpinia earthquake, and a dip of 50&ndash, 55°, at depth of 10.5&ndash, 12 km and 60&ndash, 65°, at shallower depths (7.5&ndash, 9 km). Low stress drop release (average of 0.64 MPa) indicates a fluid-driven initiation mechanism of the sequence. We also evaluated the performance of the earthquake early warning systems running in real-time during the sequence, retrieving a minimum size for the blind zone in the area of about 15 km.
- Published
- 2021
42. Past Extinctions of Homo Species Coincided with Increased Vulnerability to Climatic Change
- Author
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Mirko Di Febbraro, Antonio Profico, Thiago F. Rangel, Matheus S. Lima-Ribeiro, Alessandro Mondanaro, Pasquale Raia, José Alexandre Felizola Diniz-Filho, Silvia Castiglione, Luigi Maiorano, Carmela Serio, Marina Melchionna, Neil R. Edwards, Francesco Carotenuto, Lorenzo Rook, Philip B. Holden, Raia, Pasquale, Mondanaro, Alessandro, Melchionna, Marina, Di Febbraro, Mirko, Diniz-Filho, Josè A. F., Rangel, Thiago F., Holden, Philip B., Carotenuto, Francesco, Edwards, Neil R., Lima-Ribeiro, Matheus S., Profico, Antonio, Maiorano, Luigi, Castiglione, Silvia, Serio, Carmela, and Rook, Lorenzo
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human evolution ,palaeoanthropology ,climatic change ,climate change-mediated ,extinction ,Homo neanderthalensis ,climate niche factor analysis ,niche overlap ,global change ,Pleistocene ,Range (biology) ,media_common.quotation_subject ,Niche ,Vulnerability ,Climate change ,Competition (biology) ,climate change-mediated extinction ,Earth and Planetary Sciences (miscellaneous) ,General Environmental Science ,media_common ,Extinction ,Ecology ,Global change ,Climate change, Homo extinction, Pleistocene ,Geography ,Human evolution - Abstract
Summary At least six different Homo species populated the World during the latest Pliocene to the Pleistocene. The extinction of all but one of them is currently shrouded in mystery, and no consistent explanation has yet been advanced, despite the enormous importance of the matter. Here, we use a recently implemented past climate emulator and an extensive fossil database spanning 2,754 archaeological records to model climatic niche evolution in Homo. We find statistically robust evidence that the three Homo species representing terminating, independent lineages, H. erectus, H. heidelbergensis, and H. neanderthalensis, lost a significant portion of their climatic niche space just before extinction, with no corresponding reduction in physical range. This reduction coincides with increased vulnerability to climate change. In the case of Neanderthals, the increased extinction risk was probably exacerbated by competition with H. sapiens. This study suggests that climate change was the primary factor in the extinction of Homo species.
- Published
- 2020
43. Design and implementation of a mobile device APP for network-based EEW systems: application to PRESTo EEWS in Southern Italy
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Simona Colombelli, Luca Elia, Francesco Carotenuto, Aldo Zollo, Colombelli, Simona, Carotenuto, Francesco, Elia, Luca, and Zollo, Aldo
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021110 strategic, defence & security studies ,End user ,business.industry ,Computer science ,0211 other engineering and technologies ,Earthquake warning system ,02 engineering and technology ,Computer security ,computer.software_genre ,GeneralLiterature_MISCELLANEOUS ,Early warning system ,The Internet ,Architecture ,Android (operating system) ,business ,Ground shaking ,computer ,Mobile device - Abstract
A fundamental feature of any Earthquake Early Warning System is the ability of rapidly broadcast earthquake information to a wide audience of potential end users and stakeholders, in an intuitive, customizable way. Smartphones and other mobile devices are nowadays continuously connected to the internet and represent the ideal tools for earthquake alerts dissemination, to inform a large number of users about the potential damaging shaking of an impending earthquake.Here we present a mobile App (named ISNet EWApp) for Android devices which can receive the alerts generated by a network-based Early Warning system. Specifically, the app receives the earthquake alerts generated by the PRESTo EWS, which is currently running on the accelerometric stations of the Irpinia Seismic Network (ISNet) in Southern Italy. In the absence of alerts, the EWApp displays the standard bulletin of seismic events occurred within the network. In the event of a relevant earthquake, instead, the app has a dedicated module to predict the expected ground shaking intensity and the available lead-time at the user position and to provide customized messages to inform the user about the proper reaction during the alert.We first present the architecture of both network-based system and EWApp, and then and describe its essential operational modes. The app is designed in a way that is easily exportable to any other network-based early warning system.
- Published
- 2020
44. Zoogeographic significance of Dmanisi large mammal assemblage.
- Author
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Bartolini-Lucenti, Saverio, Cirilli, Omar, Pandolfi, Luca, Bernor, Raymond Louis, Bukhsianidze, Maia, Carotenuto, Francesco, Lordkipanidze, David, Tsikaridze, Nikoloz, and Rook, Lorenzo
- Subjects
- *
MAMMAL communities , *PLEISTOCENE Epoch , *CANIS , *PLIOCENE Epoch , *BISON , *ARABIAN horses , *MAMMALS - Abstract
We undertake a comparative mammalian zoogeographic analysis with the aim of revealing the extent to which the Dmanisi Early Pleistocene large mammal assemblage resembles, at the genus level, African, Arabian, and Eurasian localities of similar age. The inclusion of Old World Pliocene and Pleistocene mammalian faunas provides us with insights into the provincial origins of specific mammalian taxa and permits us to assess the relative affiliation of the Dmanisi mammalian faunas to other faunas in the Old World. Our analysis also allows us to consider hypotheses about the timing and direction of zoogeographic connections between western Eurasia and Africa during the Early Pleistocene. We utilize multiple zoogeographic analytical tools as a cross-comparison of Dmanisi with 42 other Eurasian and African mammalian-bearing localities between 2.7 and 0.7 Ma. Overall, we find that Dmanisi compares most closely with a subgroup of Greek, Italian, and Spanish localities that are slightly younger than Dmanisi itself. This could suggest a progressive dispersal from East to West of the large mammal communities during the late Early Pleistocene and the first occurrence at Dmanisi, and then later in Western Europe, of some taxa such as Stephanorhinus ex gr. etruscus-hundsheimensis , Equus altidens, Bison georgicus, Soergelia minor, Megantereon whitei , Canis borjgali , Canis (Xenocyon) lycaonoides. Dmanisi's habitats included drier areas, probably of open wooded savannah and grassland and by mountainous to semiarid rocky terrain. There is evidence that Dmanisi records short intervals of increased aridity in the middle part of the succession contemporaneous with the occurrence of Homo. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
45. Emotional intelligence in children with severe sleep-related breathing disorders
- Author
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Maria Lorena Fontana, Francesco Precenzano, Grazia Maria Giovanna Pastorino, Ilaria Bitetti, Valentina Lanzara, Michele Roccella, Marco Carotenuto, Anna Nunzia Polito, Daniela Smirni, Francesca Felicia Operto, Francesco Pisani, Operto, F. F., Precenzano, F., Bitetti, I., Lanzara, V., Fontana, M. L., Pastorino, G. M. G., Carotenuto, M., Pisani, F., Polito, A. N., Smirni, D., Roccella, M., and Francesca Felicia Operto, Francesco Precenzano, Ilaria Bitetti, Valentina Lanzara, Maria Lorena Fontana, Grazia Maria Giovanna Pastorino, Marco Carotenuto, Francesco Pisani, Anna Nunzia Polito, Daniela Smirni, Michele Roccella.
- Subjects
Settore M-PSI/01 - Psicologia Generale ,Male ,Stress management ,Article Subject ,Polysomnography ,Intelligence ,Neurosciences. Biological psychiatry. Neuropsychiatry ,Neuropsychological Tests ,050105 experimental psychology ,Executive Function ,03 medical and health sciences ,0302 clinical medicine ,Memory ,EQ-i:YV, sleep-related breathing disorders, OSAS ,medicine ,Humans ,Attention ,0501 psychology and cognitive sciences ,Child ,Prefrontal cortex ,Socioeconomic status ,Emotional Intelligence ,Sleep Apnea, Obstructive ,Settore M-PSI/02 - Psicobiologia E Psicologia Fisiologica ,business.industry ,Emotional intelligence ,05 social sciences ,Obstructive sleep apnea syndrome ,Sleep apnea ,General Medicine ,Respiration Disorders ,medicine.disease ,Executive functions ,Settore MED/39 - Neuropsichiatria Infantile ,Obstructive sleep apnea ,Emotional intelligence, OSAS, Sleep apnea, Bar-On emotional quotient inventory, EQ-i: YV ,Neuropsychology and Physiological Psychology ,Mood ,Italy ,Neurology ,Child, Preschool ,Female ,Neurology (clinical) ,business ,030217 neurology & neurosurgery ,Research Article ,Clinical psychology ,RC321-571 - Abstract
Background. Obstructive sleep apnea syndrome (OSAS) affects up to 4% of a pediatric population, with many comorbidities in the medium-long term. Functional alterations in the prefrontal cortex (PFC) may explain why OSAS impacts aspects such as executive functions, memory, motor control, attention, visual-spatial skills, learning, and mood regulation. Emotional intelligence (EI) is a complex neuropsychological function that could be impaired in many clinical conditions. Purpose. The aim of the study is to evaluate the difference in emotional intelligence skills among children with OSAS and healthy subjects (nOSAS). Methods. 129 children (72 males; mean age 7.64±1.98 years) affected by OSAS were compared to 264 non-OSAS (nOSAS) children (138 males; mean age 7.98±2.13) similar for gender, age, and socioeconomic status. In order to assess the emotional quotient, the Bar-On Emotional Quotient Inventory: Youth Version (EQ-i:YV) was used. Results. The comparison for means and standard deviation between OSAS children and nOSAS children for EQ-i:YV scores showed significant differences for Interpersonal, Adaptability, and Stress Management scales and EQ Total score. Conclusions. Our findings highlighted the role of intermittent hypoxia in the genesis of the effects of sleep-related respiratory disorders, which involves also aspects different from physical impairments.
- Published
- 2019
46. A novel methodology for Groundwater Flooding Susceptibility assessment through Machine Learning techniques in a mixed-land use aquifer.
- Author
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Allocca, Vincenzo, Di Napoli, Mariano, Coda, Silvio, Carotenuto, Francesco, Calcaterra, Domenico, Di Martire, Diego, and De Vita, Pantaleone
- Published
- 2021
- Full Text
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47. Like a pig out of water: Seaborne spread of domestic pigs in Southern Italy and Sardinia during the Bronze and Iron Ages
- Author
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A Cinzia Marra, Pasquale Raia, Clelia Lega, Lorenzo Rook, Francesco Carotenuto, Angelo Genovese, Marco Masseti, M Meiri, Domenico Fulgione, Lega, Clelia, Fulgione, Domenico, Genovese, Angelo, Rook, L, Masseti, M, Meiri, M, Cinzia Marra, A, Carotenuto, Francesco, and Raia, Pasquale
- Subjects
0106 biological sciences ,0301 basic medicine ,Human Migration ,Sus scrofa ,Zoology ,Bronze and Iron Sges ,Transportation ,010603 evolutionary biology ,01 natural sciences ,DNA, Mitochondrial ,Domestication ,03 medical and health sciences ,Wild boar ,Bronze Age ,biology.animal ,Human population genetics ,Genetics ,domestic pigs ,Animals ,DNA, Ancient ,Sicily ,Genetics (clinical) ,Holocene ,Mesolithic ,domestic pigs, Bronze and Iron Sges, Southern Italy ,biology ,Commerce ,Sequence Analysis, DNA ,humanities ,030104 developmental biology ,Ancient DNA ,Haplotypes ,Italy ,Iron Age ,Animals, Domestic ,Original Article ,Southern Italy ,Animal Distribution - Abstract
Southern Italy has a long history of human occupation and passage of different cultures since the Early Holocene. Repeated, ancient introductions of pigs in several geographic areas in Europe make it difficult to understand pig translocation and domestication in Italy. The archeozoological record may provide fundamental information on this, hence shedding light on peopling and on trading among different ancient cultures in the Mediterranean. Yet, because of the scanty nature of the fossil record, ancient remains from human-associated animals are somewhat rare. Fortunately, ancient DNA analysis as applied to domestic species proved to be a powerful tool in revealing human migrations. Herein, we analyzed 80-bp fragment of mitochondrial DNA control region from 27 Sus scrofa ancient samples retrieved from Southern Italian and Sardinian archeological sites, spanning in age from the Mesolithic to the Roman period. Our results surprisingly indicate the presence of the Near Eastern haplotype Y1 on both Italy's major islands (Sardinia and Sicily) during the Bronze Age, suggesting the seaborne transportation of domestic pigs by humans at least during 1600-1300 BC. The presence of the Italian E2 clade in domestic contexts shows that the indigenous wild boar was effectively domesticated or incorporated into domestic stocks in Southern Italy during the Bronze Age, although the E2 haplotype has never been found in modern domestic breeds. Pigs belonging to the endemic E2 clade were thus traded between the Peninsula and Sardinia by the end of the second millennium BC and this genetic signature is still detected in Sardinian feral pigs.
- Published
- 2017
48. Does the jack of all trades fare best? Survival and niche width in Late Pleistocene megafauna
- Author
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Pasquale Raia, Mirko Di Febbraro, Danilo Russo, Luigi Maiorano, Silvia Castiglione, Anna Loy, Francesco Carotenuto, Di Febbraro, Mirko, Carotenuto, Francesco, Castiglione, Silvia, Russo, Danilo, Loy, Anna, Maiorano, Luigi, and Raia, Pasquale
- Subjects
0106 biological sciences ,010504 meteorology & atmospheric sciences ,Woolly mammoth ,Evolution ,Steppe bison ,010603 evolutionary biology ,01 natural sciences ,Co-occurrence analysi ,co-occurrence analysis ,Behavior and Systematics ,Megafauna ,Climate change ,species distribution models ,Pleistocene megafauna ,Ecology, Evolution, Behavior and Systematics ,0105 earth and related environmental sciences ,Mammoth ,Ecological niche ,Quaternary mammal ,biology ,Ecology ,quaternary mammals ,Species distribution model ,biology.organism_classification ,Ecology, Evolution, Behavior and Systematic ,Environmental niche modelling ,climate change ,global circulation models ,megafauna extinction ,niche shift ,Geography ,Habitat ,Niche shift ,Global circulation model ,Megafauna extinction - Abstract
Aim We sought to assess different megafaunal species responses to the intense climatic changes that characterized the end of the Quaternary. Location Eurasia. Methods We used species distribution modelling, niche overlap tests and co-occurrence analysis to model climatic niche evolution and change in six different megafauna species, including three extinct (woolly mammoth, woolly rhino and steppe bison) and three extant (red deer, wolf and reindeer) species. Results Co-occurrence analysis indicates mammoth, rhino, reindeer and steppe bison to be significantly associated to each other in the fossil record in cold, arid environments. In contrast, red deer and wolf show no evidence for strong habitat requirements, although they both tended to be associated with more humid conditions than the other megafauna. Woolly mammoth and the woolly rhino were the best adapted to the cold, arid conditions dominating the Eurasian landscapes during the Last Glacial Maximum (LGM). Extant species did not exhibit larger climatic niches than extinct species, but changed more from one period to the next than those of extinct species. Main conclusions Although they did not have wider climatic niches, and were the least adapted to cold climates, red deer and the wolf were able to withstand the harsh climatic conditions of the LGM. Conversely, the now extinct mammoth and woolly rhino did not survive the demise of the LGM environment. Although “cold-adapted”, reindeer survived the LGM by occupying a northerly distribution similar to today. Independent evidence indicates the steppe bison lineage might have survived in North America. Our data are consistent with a strong climatic control on the fate of late Quaternary megafauna species in Eurasia. We were unable to exclude a sizeable effect of human intervention by overhunting.
- Published
- 2017
49. Progress to extinction: increased specialisation causes the demise of animal clades
- Author
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Fiorella Saggese, Carmela Serio, Marina Melchionna, Silvia Castiglione, Daniele Silvestro, Pasquale Raia, Francesco Carotenuto, Federico Passaro, L. Alessio, Mikael Fortelius, Alessandro Mondanaro, Department of Chemistry, Department of Geosciences and Geography, Evolutionary Palaeontology group, Raia, Pasquale, Carotenuto, Francesco, Mondanaro, A., Castiglione, S., Passaro, Federico, Saggese, F., Melchionna, Marina, Serio, C., Alessio, L., Silvestro, D., and Fortelius, M.
- Subjects
0106 biological sciences ,0301 basic medicine ,1171 Geosciences ,Databases, Factual ,Range (biology) ,Genetic Speciation ,ORIGINATION ,Biodiversity ,Biology ,Extinction, Biological ,010603 evolutionary biology ,01 natural sciences ,Models, Biological ,Article ,03 medical and health sciences ,BIOMIC SPECIALIZATION ,MACROEVOLUTIONARY ,Animals ,natural sciences ,COPES RULE ,RATES ,SPECIATION ,Biological Evolution ,Fossils ,Markov Chains ,Paleontology ,Sympatry ,Extinction event ,Multidisciplinary ,Extinction ,Ecology ,LARGE MAMMALS ,Demise ,social sciences ,15. Life on land ,musculoskeletal system ,RANGE SIZE ,humanities ,030104 developmental biology ,Sympatric speciation ,ECOLOGICAL SPECIALIZATION ,Species richness ,DIVERSIFICATION ,Cope's rule ,geographic locations - Abstract
Animal clades tend to follow a predictable path of waxing and waning during their existence, regardless of their total species richness or geographic coverage. Clades begin small and undifferentiated, then expand to a peak in diversity and range, only to shift into a rarely broken decline towards extinction. While this trajectory is now well documented and broadly recognised, the reasons underlying it remain obscure. In particular, it is unknown why clade extinction is universal and occurs with such surprising regularity. Current explanations for paleontological extinctions call on the growing costs of biological interactions, geological accidents, evolutionary traps, and mass extinctions. While these are effective causes of extinction, they mainly apply to species, not clades. Although mass extinctions is the undeniable cause for the demise of a sizeable number of major taxa, we show here that clades escaping them go extinct because of the widespread tendency of evolution to produce increasingly specialised, sympatric, and geographically restricted species over time.
- Published
- 2016
- Full Text
- View/download PDF
50. The influence of climate on species distribution over time and space during the late Quaternary
- Author
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Carmela Serio, Pasquale Raia, Fiorella Saggese, Marina Melchionna, Francesco Carotenuto, M. Di Febbraro, Silvia Castiglione, Federico Passaro, Anna Loy, Alessandro Mondanaro, Carotenuto, Francesco, Di Febbraro, M., Melchionna, Marina, Castiglione, S., Saggese, F., Serio, C., Mondanaro, A., Passaro, Federico, Loy, A., and Raia, Pasquale
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0106 biological sciences ,010506 paleontology ,Archeology ,Evolution ,Species distribution ,Climate change ,Habitat filtering ,Joint species distribution models ,Last glacial maximum ,Mammoth steppe ,Phylogenetic community assembly ,010603 evolutionary biology ,01 natural sciences ,Behavior and Systematics ,Megafauna ,Ecology, Evolution, Behavior and Systematics ,0105 earth and related environmental sciences ,Global and Planetary Change ,Stephanorhinus ,Ecology ,Archeology (arts and humanities) ,biology ,Geology ,Last Glacial Maximum ,biology.organism_classification ,Paleoecology ,Quaternary - Abstract
Understanding the effect of climate on the composition of communities and its change over time and space is one of the major aims in ecology and paleoecology. Herein, we tackled on this issue by studying late Quaternary large mammal paleocommunities of Eurasia. The late Quaternary was a period of strong environmental instability, especially characterized by the occurrence of the last glacial maximum (LGM). We used community phylogenetics and joint species distribution models in order to understand the factors determining paleocommunity composition in the late Quaternary. Our results support the existence of strong climatic selection operating on the LGM fauna, both through the disappearance of warm-adapted species such as Elephas antiquus, Hippopothamus amphibious, and Stephanorhinus hemitoechus, and by setting the stage for the existence of a community characterized by cold-adapted large mammals. Patterns of abundance in the fossil record, co-occurrence between species pairs, and the extent of climatic forcing on faunal composition, differ between paleocommunities, but not between extinct and extant species, which is consistent with the idea that climate change, rather than the presence of humans, exerted a major effect on the survival of the late Quaternary megafauna. © 2016 Elsevier Ltd
- Published
- 2016
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