535 research outputs found
L’interazione umano-IA come cooperazione: Verso una teoria della mente artificiale
No full textA recent development in Psychology of Thought is about decisional processes
in hybrid teams, composed by a human agent and an artificial agent. Interaction
in hybrid teams can be conceptualized as cooperation: support systems
are not developed for substitution but for collaboration. The human cognitive
system manifests several blind spots, limits that could make performance in a
task not optimal. A cognitive analysis of hybrid teams in medical context can
show the impact of these limits and their management. Some of these limits,
of perceptual and attentional nature, can be partially compensated by using
information provided by an artificial agent as support of the decision process.
Other limits manifest themselves in the effective use of information provided.
The fundamental problem is calibration: correct weighting of human opinion
and of AI opinion, and then to rationally integrate both. The calibration process
might be systematically distorted by cognitive biases and by lacking a
proper understanding of the AI’s way of contributing to the team, leading to
suboptimal performance. Development of a theory of the artificial mind allows
the human decision maker to represent the correct functioning of the AI, of
the human limits that AI is meant to address, and of the human strengths on
which concentration of resources would be better, facilitating calibration. A
rationally calibrated interaction will provide information allowing improved
decisions and diagnoses
Enhancing human-AI collaboration: The case of colonoscopy
No full textDiagnostic errors impact patient health and healthcare costs. Artificial Intelligence (AI) shows promise in mitigating this burden by supporting Medical Doctors in decision-making. However, the mere display of excellent or even superhuman performance by AI in specific tasks does not guarantee a positive impact on medical practice. Effective AI assistance should target the primary causes of human errors and foster effective collaborative decision-making with human experts who remain the ultimate decision-makers. In this narrative review, we apply these principles to the specific scenario of AI assistance during colonoscopy. By unraveling the neurocognitive foundations of the colonoscopy procedure, we identify multiple bottlenecks in perception, attention, and decision-making that contribute to diagnostic errors, shedding light on potential interventions to mitigate them. Furthermore, we explored how existing AI devices fare in clinical practice and whether they achieved an optimal integration with the human decision-maker. We argue that to foster optimal Human-AI collaboration, future research should expand our knowledge of factors influencing AI's impact, establish evidence-based cognitive models, and develop training programs based on them. These efforts will enhance human-AI collaboration, ultimately improving diagnostic accuracy and patient outcomes. The principles illuminated in this review hold more general value, extending their relevance to a wide array of medical procedures and beyond
Cognitive functioning: is it all or none?
No full textUnder various circumstances, the cognitive system operates in a global manner that is not very precise and barely discriminatory. This form of operating has been described via a general principal that Diamond (Developmental Psychology 45:130–138, 2009) has denominated the All or None Hypothesis. This author has described a set of corollaries derived from this hypothesis that make it possible to verify it in each one of these domains. Although there is evidence of the global and non-discriminate way in which the cognitive system operates in populations of children, to date, there are no studies that have examined whether this mode of operation is also present in populations of adults. Researchers have yet to determine whether these corollaries apply to middle-aged adults. For this reason, this is the current study’s principal objective. A sample of 73 participants with ages ranging from 18 to 57 of both genders was evaluated. A modified version of the arrows test in Davidson et al. (Neuropsychologia 44:2037–2078, 2006) was used to analyze the three corollaries. The results obtained in this study can be interpreted as evidence in favor of the corollaries analyzed herein. Furthermore, they indicate that adult populations have a global response mode that is barely differentiated and that is activated by default in the face of problems and situations that demand behaviors and/or thoughts that are not very analytical and differentiated. However, in contexts that demand greater discrimination, this global mode is substituted by a controlled mode that requires greater cognitive effort and more differentiated processing.Fil: Introzzi, Isabel Maria. Universidad Nacional de Mar del Plata. Facultad de Psicología. Instituto de Psicología Básica, Aplicada y Tecnología. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Psicología Básica, Aplicada y Tecnología; ArgentinaFil: Richard's, Maria Marta. Universidad Nacional de Mar del Plata. Facultad de Psicología. Instituto de Psicología Básica, Aplicada y Tecnología. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Psicología Básica, Aplicada y Tecnología; ArgentinaFil: Comesaña, Ana. Universidad Nacional de Mar del Plata. Facultad de Psicología. Instituto de Psicología Básica, Aplicada y Tecnología. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Psicología Básica, Aplicada y Tecnología; ArgentinaFil: García Coni Bosch, Ana Virginia. Universidad Nacional de Mar del Plata. Facultad de Psicología. Instituto de Psicología Básica, Aplicada y Tecnología. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Psicología Básica, Aplicada y Tecnología; Argentin
MEASUREMENT AND SENSING OF COVER CROP GROWTH AND NITROGEN CREDITS IN CONSERVATION AGRICULTURE
No full textWe studied cover crops in maize-based cropping systems in the
agricultural plain areas of Northern Italy (Lombardia region), to: quantify
the growth of winter cover crops, nitrogen uptake, weed control capacity,
and nitrogen credits for maize; to test the possibility of sensing cover crop
biomass and nitrogen (N) concentration using aerial images, and to
estimate N concentration using near-infrared spectroscopy (NIRS); and to
quantify cover crop cultivation costs. We set up six experiments to
compare different cover crop species in rotation with maize. The
experiments started in September 2017 and ended in August 2019.
Cover crop growth in autumn was rapid for white mustard, tillage radish
and black oat (which accumulated 1.5–3.0 t DM/ha until November), while
legume cover crops (Egyptian clover, hairy vetch and purple vetch) had a
lower crop growth rate (reaching 0.5–1.5 t DM/ha). Therefore, non-legume
cover crops controlled weeds better compared to legume cover crops.
Nitrogen uptake in autumn was highest for white mustard, tillage radish
and hairy vetch (77-125 kg N/ha). Rye and black oat were intermediate,
while Egyptian clover and purple vetch were lowest (35 kg N/ha). Rye and
hairy vetch survived winter, while white mustard was always destroyed
by winter frosts. We did not observe relevant effects of cover crops on
maize yield and N uptake.
In one experiment, we also established relationships between vegetation
indices (NDVI, Normalised Difference Vegetation Index; and CIg,
Chlorophyll Index) obtained with a multispectral digital camera carried by
an Unmanned Aerial Vehicle and cover crop biomass and nitrogen
concentration. Increasing biomass above about 1 and 2 t DM/ha for NDVI
and CIg, respectively, did not correspond to increasing values of the
indices, thus reducing their predictive capacity. A new index (calculated
using measured crop height) improved the predictions of cover crop
biomass substantially (R2 = 0.64–0.86). Cover crop nitrogen concentration
was poorly predicted by the vegetation indices.
We finally scanned cover crops with two NIR instruments, and used the
spectra for chemometric elaborations (Partial Least Squares regression).
Predictions of N concentrations on spectra of fresh materials were rather
poor, while dried and ground samples provided better results (R2 = 0.86
for the bench instrument, and 0.70 for the portable instrument). Locally
Weighted Regression further improved the R2
(0.90 and 0.84, respectively).
Cultivation costs ranged between 112 €/ha for white mustard (a winter killed species that does not require termination and has a low seed cost)
and 208 €/ha for rye (winter-hardy, with more expensive seed)
Cover crop dopo il mais, scegliere la giusta strategia
No full textLe cover crop graminacee e brassicacee hanno mostrato un buon potenziale relativamente alla crescita autunnale, all’assorbimento di azoto e al controllo delle erbe infestanti. Per quelle leguminose, invece, il tasso di crescita in autunno è stato modesto, compensato da un’importante crescita in primavera solo per la veccia villos
Charge-state distributions of 20 Ne ions emerging from thin foils
No full textNew experimental measurements of charge state distributions produced by a 20 Ne 10+ beam at 15 MeV/u colliding on various thin solid targets are presented. The use of the MAGNEX magnetic spectrometer enabled measurements of the 8 + charge state down to fractions of a few 10 −5 . The use of different post-stripper foils located downstream of the main target is explored, showing that low Z materials are particularly effective to shift the charge state distributions towards fully stripped conditions. The dependence on the foil thickness is also studied and discussed. © 2019 The Author
Constraints on Models of the Higgs Boson with Exotic Spin and Parity using Decays to Bottom-Antibottom Quarks in the Full CDF Data Set
No full textCitation: Aaltonen, T., Amerio, S., Amidei, D., Anastassov, A., Annovi, A., Antos, J., . . . Collaboration, C. D. F. (2015). Constraints on Models of the Higgs Boson with Exotic Spin and Parity using Decays to Bottom-Antibottom Quarks in the Full CDF Data Set. Physical Review Letters, 114(14), 9. doi:10.1103/PhysRevLett.114.141802A search for particles with the same mass and couplings as those of the standard model Higgs boson but different spin and parity quantum numbers is presented. We test two specific alternative Higgs boson hypotheses: a pseudoscalar Higgs boson with spin-parity J(P) = 0(-) and a gravitonlike Higgs boson with J(P) = 2(+), assuming for both a mass of 125 GeV/c(2). We search for these exotic states produced in association with a vector boson and decaying into a bottom-antibottom quark pair. The vector boson is reconstructed through its decay into an electron or muon pair, or an electron or muon and a neutrino, or it is inferred from an imbalance in total transverse momentum. We use expected kinematic differences between events containing exotic Higgs bosons and those containing standard model Higgs bosons. The data were collected by the CDF experiment at the Tevatron proton-antiproton collider, operating at a center-of-mass energy of root s = 1.96 TeV, and correspond to an integrated luminosity of 9.45 fb(-1). We exclude deviations from the predictions of the standard model with a Higgs boson of mass 125 GeV/c(2) at the level of 5 standard deviations, assuming signal strengths for exotic boson production equal to the prediction for the standard model Higgs boson, and set upper limits of approximately 30% relative to the standard model rate on the possible rate of production of each exotic state.Additional Authors: Badgett, W.;Bae, T.;Barbaro-Galtieri, A.;Barnes, V. E.;Barnett, B. A.;Barria, P.;Bartos, P.;Bauce, M.;Bedeschi, F.;Behari, S.;Bellettini, G.;Bellinger, J.;Benjamin, D.;Beretvas, A.;Bhatti, A.;Bland, K. R.;Blumenfeld, B.;Bocci, A.;Bodek, A.;Bortoletto, D.;Boudreau, J.;Boveia, A.;Brigliadori, L.;Bromberg, C.;Brucken, E.;Budagov, J.;Budd, H. S.;Burkett, K.;Busetto, G.;Bussey, P.;Butti, P.;Buzatu, A.;Calamba, A.;Camarda, S.;Campanelli, M.;Canelli, F.;Carls, B.;Carlsmith, D.;Carosi, R.;Carrillo, S.;Casal, B.;Casarsa, M.;Castro, A.;Catastini, P.;Cauz, D.;Cavaliere, V.;Cerri, A.;Cerrito, L.;Chen, Y. C.;Chertok, M.;Chiarelli, G.;Chlachidze, G.;Cho, K.;Chokheli, D.;Clark, A.;Clarke, C.;Convery, M. E.;Conway, J.;Corbo, M.;Cordelli, M.;Cox, C. A.;Cox, D. J.;Cremonesi, M.;Cruz, D.;Cuevas, J.;Culbertson, R.;d'Ascenzo, N.;Datta, M.;de Barbaro, P.;Demortier, L.;Deninno, M.;D'Errico, M.;Devoto, F.;Di Canto, A.;Di Ruzza, B.;Dittmann, J. R.;Donati, S.;D'Onofrio, M.;Dorigo, M.;Driutti, A.;Ebina, K.;Edgar, R.;Elagin, A.;Erbacher, R.;Errede, S.;Esham, B.;Farrington, S.;Ramos, J. P. F.;Field, R.;Flanagan, G.;Forrest, R.;Franklin, M.;Freeman, J. C.;Frisch, H.;Funakoshi, Y.;Galloni, C.;Garfinkel, A. F.;Garosi, P.;Gerberich, H.;Gerchtein, E.;Giagu, S.;Giakoumopoulou, V.;Gibson, K.;Ginsburg, C. M.;Giokaris, N.;Giromini, P.;Glagolev, V.;Glenzinski, D.;Gold, M.;Goldin, D.;Golossanov, A.;Gomez, G.;Gomez-Ceballos, G.;Goncharov, M.;Lopez, O. G.;Gorelov, I.;Goshaw, A. T.;Goulianos, K.;Gramellini, E.;Grosso-Pilcher, C.;Group, R. C.;da Costa, J. G.;Hahn, S. R.;Han, J. Y.;Happacher, F.;Hara, K.;Hare, M.;Harr, R. F.;Harrington-Taber, T.;Hatakeyama, K.;Hays, C.;Heinrich, J.;Herndon, M.;Hocker, A.;Hong, Z.;Hopkins, W.;Hou, S.;Hughes, R. E.;Husemann, U.;Hussein, M.;Huston, J.;Introzzi, G.;Iori, M.;Ivanov, A.;James, E.;Jang, D.;Jayatilaka, B.;Jeon, E. J.;Jindariani, S.;Jones, M.;Joo, K. K.;Jun, S. Y.;Junk, T. R.;Kambeitz, M.;Kamon, T.;Karchin, P. E.;Kasmi, A.;Kato, Y.;Ketchum, W.;Keung, J.;Kilminster, B.;Kim, D. H.;Kim, H. S.;Kim, J. E.;Kim, M. J.;Kim, S. H.;Kim, S. B.;Kim, Y. J.;Kim, Y. K.;Kimura, N.;Kirby, M.;Knoepfel, K.;Kondo, K.;Kong, D. J.;Konigsberg, J.;Kotwal, A. V.;Kreps, M.;Kroll, J.;Kruse, M.;Kuhr, T.;Kurata, M.;Laasanen, A. T.;Lammel, S.;Lancaster, M.;Lannon, K.;Latino, G.;Lee, H. S.;Lee, J. S.;Leo, S.;Leone, S.;Lewis, J. D.;Limosani, A.;Lipeles, E.;Lister, A.;Liu, H.;Liu, Q.;Liu, T.;Lockwitz, S.;Loginov, A.;Lucchesi, D.;Luca, A.;Lueck, J.;Lujan, P.;Lukens, P.;Lungu, G.;Lys, J.;Lysak, R.;Madrak, R.;Maestro, P.;Malik, S.;Manca, G.;Manousakis-Katsikakis, A.;Marchese, L.;Margaroli, F.;Marino, P.;Matera, K.;Mattson, M. E.;Mazzacane, A.;Mazzanti, P.;McNulty, R.;Mehta, A.;Mehtala, P.;Mesropian, C.;Miao, T.;Mietlicki, D.;Mitra, A.;Miyake, H.;Moed, S.;Moggi, N.;Moon, C. S.;Moore, R.;Morello, M. J.;Mukherjee, A.;Muller, T.;Murat, P.;Mussini, M.;Nachtman, J.;Nagai, Y.;Naganoma, J.;Nakano, I.;Napier, A.;Nett, J.;Neu, C.;Nigmanov, T.;Nodulman, L.;Noh, S. Y.;Norniella, O.;Oakes, L.;Oh, S. H.;Oh, Y. D.;Oksuzian, I.;Okusawa, T.;Orava, R.;Ortolan, L.;Pagliarone, C.;Palencia, E.;Palni, P.;Papadimitriou, V.;Parker, W.;Pauletta, G.;Paulini, M.;Paus, C.;Phillips, T. J.;Piacentino, G.;Pianori, E.;Pilot, J.;Pitts, K.;Plager, C.;Pondrom, L.;Poprocki, S.;Potamianos, K.;Pranko, A.;Prokoshin, F.;Ptohos, F.;Punzi, G.;Fernandez, I. R.;Renton, P.;Rescigno, M.;Rimondi, F.;Ristori, L.;Robson, A.;Rodriguez, T.;Rolli, S.;Ronzani, M.;Roser, R.;Rosner, J. L.;Ruffini, F.;Ruiz, A.;Russ, J.;Rusu, V.;Sakumoto, W. K.;Sakurai, Y.;Santi, L.;Sato, K.;Saveliev, V.;Savoy-Navarro, A.;Schlabach, P.;Schmidt, E. E.;Schwarz, T.;Scodellaro, L.;Scuri, F.;Seidel, A. S.;Seiya, Y.;Semenov, A.;Sforza, F.;Shalhout, S. Z.;Shears, T.;Shepard, P. F.;Shimojima, M.;Shochet, M.;Shreyber-Tecker, I.;Simonenko, A.;Sliwa, K.;Smith, J. R.;Snider, F. D.;Song, H.;Sorin, V.;St Denis, R.;Stancari, M.;Stentz, D.;Strologas, J.;Sudo, Y.;Sukhanov, A.;Suslov, I.;Takemasa, K.;Takeuchi, Y.;Tang, J.;Tecchio, M.;Teng, P. K.;Thom, J.;Thomson, E.;Thukral, V.;Toback, D.;Tokar, S.;Tollefson, K.;Tomura, T.;Tonelli, D.;Torre, S.;Torretta, D.;Totaro, P.;Trovato, M.;Ukegawa, F.;Uozumi, S.;Vazquez, F.;Velev, G.;Vellidis, C.;Vernieri, C.;Vidal, M.;Vilar, R.;Vizan, J.;Vogel, M.;Volpi, G.;Wagner, P.;Wallny, R.;Wang, S. M.;Waters, D.;Wester, W. C.;Whiteson, D.;Wicklund, A. B.;Wilbur, S.;Williams, H. H.;Wilson, J. S.;Wilson, P.;Winer, B. L.;Wittich, P.;Wolbers, S.;Wolfe, H.;Wright, T.;Wu, X.;Wu, Z.;Yamamoto, K.;Yamato, D.;Yang, T.;Yang, U. K.;Yang, Y. C.;Yao, W. M.;Yeh, G. P.;Yi, K.;Yoh, J.;Yorita, K.;Yoshida, T.;Yu, G. B.;Yu, I.;Zanetti, A. M.;Zeng, Y.;Zhou, C.;Zucchelli, S.;Collaboration, C. D. F
The FIRST experiment for nuclear fragmentation measurements at GSI
No full textNuclear fragmentation processes are relevant in
different fields of physics concerning both basic research and applications. FIRST (Fragmentation of Ions Relevant for Space
and Therapy) is an experiment aimed at the measurement of
double differential cross sections (DDCS), with respect to kinetic energy and scattering polar angle, of nuclear fragmentation processes relevant for hadron therapy and for space radiation protection applications, in the energy range between 100 and 1000 MeV/u. The experiment was mounted at the GSI laboratories of Darmstadt, in Germany. A first data
taking was performed in August 2011, using 400 MeV/u 12C on carbon and gold targets. In this work we present a description of the experimental apparatus and some figures from the data
acquisition and from the preliminary work on data analysi
Measurement of the single top quark production cross section and vertical bar V-tb vertical bar in 1.96 TeV p(p)over-bar collisions with missing transverse energy and jets and final CDF combination
No full textCitation: Aaltonen, T., Amerioa, S., Amidei, D., Anastassov, A., Annovi, A., Antos, J., . . . Collaboration, C. D. F. (2016). Measurement of the single top quark production cross section and vertical bar V-tb vertical bar in 1.96 TeV p(p)over-bar collisions with missing transverse energy and jets and final CDF combination. Physical Review D, 93(3), 9. doi:10.1103/PhysRevD.93.032011Additional Authors: Aurisano, A.;Azfar, F.;Badgett, W.;Bae, T.;Barbaro-Galtieri, A.;Barnes, V. E.;Barnett, B. A.;Barria, P.;Bartos, P.;Bauce, M.;Bedeschi, F.;Behari, S.;Bellettini, G.;Bellinger, J.;Benjamin, D.;Beretvas, A.;Bhatti, A.;Bland, K. R.;Blumenfeld, B.;Bocci, A.;Bodek, A.;Bortoletto, D.;Boudreau, J.;Boveia, A.;Brigliadori, L.;Bromberg, C.;Brucken, E.;Budagov, J.;Budd, H. S.;Burkett, K.;Busetto, G.;Bussey, P.;Butti, P.;Buzatu, A.;Calamba, A.;Camarda, S.;Campanelli, M.;Canelli, F.;Carls, B.;Carlsmith, D.;Carosi, R.;Carrillo, S.;Casal, B.;Casarsa, M.;Castro, A.;Catastini, P.;Cauz, D.;Cavaliere, V.;Cerri, A.;Cerrito, L.;Chen, Y. C.;Chertok, M.;Chiarelli, G.;Chlachidze, G.;Cho, K.;Chokheli, D.;Clark, A.;Clarke, C.;Convery, M. E.;Conway, J.;Corbo, M.;Cordelli, M.;Cox, C. A.;Cox, D. J.;Cremonesi, M.;Cruz, D.;Cuevas, J.;Culbertson, R.;d'Ascenzo, N.;Datta, M.;De Barbaro, P.;Demortier, L.;Deninno, M.;D'Errico, M.;Devoto, F.;Di Canto, A.;Di Ruzza, B.;Dittmann, J. R.;Donati, S.;D'Onofrio, M.;Dorigo, M.;Driutti, A.;Ebina, K.;Edgar, R.;Elagin, A.;Erbacher, R.;Errede, S.;Esham, B.;Farrington, S.;Ramos, J. P. F.;Field, R.;Flanagan, G.;Forrest, R.;Franklin, M.;Freeman, J. C.;Frisch, H.;Funakoshi, Y.;Galloni, C.;Garfinkel, A. F.;Garosi, P.;Gerberich, H.;Gerchtein, E.;Giagu, S.;Giakoumopoulou, V.;Gibson, K.;Ginsburg, C. M.;Giokaris, N.;Giromini, P.;Glagolev, V.;Glenzinski, D.;Gold, M.;Goldin, D.;Golossanov, A.;Gomez, G.;Gomez-Ceballos, G.;Goncharov, M.;Lopez, O. G.;Gorelov, I.;Goshaw, A. T.;Goulianos, K.;Gramellini, E.;Grosso-Pilcher, C.;Group, R. C.;da Costa, J. G.;Hahn, S. R.;Han, J. Y.;Happacher, F.;Hara, K.;Hare, M.;Harr, R. F.;Harrington-Taber, T.;Hatakeyama, K.;Hays, C.;Heinrich, J.;Herndon, M.;Hocker, A.;Hong, Z.;Hopkins, W.;Hou, S.;Hughes, R. E.;Husemann, U.;Hussein, M.;Huston, J.;Introzzi, G.;Iori, M.;Ivanov, A.;James, E.;Jang, D.;Jayatilaka, B.;Jeon, E. J.;Jindariani, S.;Jones, M.;Joo, K. K.;Jun, S. Y.;Junk, T. R.;Kambeitz, M.;Kamon, T.;Karchin, P. E.;Kasmi, A.;Kato, Y.;Ketchum, W.;Keung, J.;Kilminster, B.;Kim, D. H.;Kim, H. S.;Kim, J. E.;Kim, M. J.;Kim, S. H.;Kim, S. B.;Kim, Y. J.;Kim, Y. K.;Kimura, N.;Kirby, M.;Knoepfel, K.;Kondo, K.;Kong, D. J.;Konigsberg, J.;Kotwal, A. V.;Kreps, M.;Kroll, J.;Kruse, M.;Kuhr, T.;Kurata, M.;Laasanen, A. T.;Lammel, S.;Lancaster, M.;Lannon, K.;Latino, G.;Lee, H. S.;Lee, J. S.;Leo, S.;Leone, S.;Lewis, J. D.;Limosani, A.;Lipeles, E.;Lister, A.;Liu, H.;Liu, Q.;Liu, T.;Lockwitz, S.;Loginov, A.;Lucchesi, D.;Luca, A.;Lueck, J.;Lujan, P.;Lukens, P.;Lungu, G.;Lys, J.;Lysak, R.;Madrak, R.;Maestro, P.;Malik, S.;Manca, G.;Manousakis-Katsikakis, A.;Marchese, L.;Margaroli, F.;Marino, P.;Matera, K.;Mattson, M. E.;Mazzacane, A.;Mazzanti, P.;McNulty, R.;Mehta, A.;Mehtala, P.;Mesropian, C.;Miao, T.;Mietlicki, D.;Mitra, A.;Miyake, H.;Moed, S.;Moggi, N.;Moon, C. S.;Moore, R.;Morello, M. J.;Mukherjee, A.;Muller, T.;Murat, P.;Mussini, M.;Nachtman, J.;Nagai, Y.;Naganoma, J.;Nakano, I.;Napier, A.;Nett, J.;Neu, C.;Nigmanov, T.;Nodulman, L.;Noh, S. Y.;Norniella, O.;Oakes, L.;Oh, S. H.;Oh, Y. D.;Oksuzian, I.;Okusawa, T.;Orava, R.;Ortolan, L.;Pagliarone, C.;Palencia, E.;Palni, P.;Papadimitriou, V.;Parker, W.;Pauletta, G.;Paulini, M.;Paus, C.;Phillips, T. J.;Pianori, E.;Pilot, J.;Pitts, K.;Plager, C.;Pondrom, L.;Poprocki, S.;Potamianos, K.;Pranko, A.;Prokoshin, F.;Ptohos, F.;Punzi, G.;Fernandez, I. R.;Renton, P.;Rescigno, M.;Rimondi, F.;Ristori, L.;Robson, A.;Rodriguez, T.;Rolli, S.;Ronzani, M.;Roser, R.;Rosner, L.;Ruffini, F.;Ruiz, A.;Russ, J.;Rusu, V.;Sakumoto, W. K.;Sakurai, Y.;Santi, L.;Sato, K.;Saveliev, V.;Savoy-Navarro, A.;Schlabach, P.;Schmidt, E. E.;Schwarz, T.;Scodellaro, L.;Scuri, F.;Seidel, S.;Seiya, Y.;Semenov, A.;Sforza, F.;Shalhout, S. Z.;Shears, T.;Shepard, P. F.;Shimojima, M.;Shochet, M.;Shreyber-Tecker, I.;Simonenko, A.;Sliwa, K.;Smith, J. R.;Snider, F. D.;Song, H.;Sorin, V.;St Denis, R.;Stancari, M.;Stentz, D.;Strologas, J.;Sudo, Y.;Sukhanov, A.;Suslov, I.;Takemasa, K.;Takeuchi, Y.;Tang, J.;Tecchio, M.;Teng, P. K.;Thom, J.;Thomson, E.;Thukral, V.;Toback, D.;Tokar, S.;Tollefson, K.;Tomura, T.;Tonelli, D.;Torre, S.;Torretta, D.;Totaro, P.;Trovato, M.;Ukegawa, F.;Uozumi, S.;Vazquez, F.;Velev, G.;Vellidis, C.;Vernieri, C.;Vidal, M.;Vilar, R.;Vizan, J.;Vogel, M.;Volpi, G.;Wagner, P.;Wallny, R.;Wang, S. M.;Waters, D.;Wester, W. C.;Whiteson, D.;Wicklund, A. B.;Wilbur, S.;Williams, H. H.;Wilson, J. S.;Wilson, P.;Winer, B. L.;Wittich, P.;Wolbers, S.;Wolfe, H.;Wright, T.;Wu, X.;Wu, Z.;Yamamoto, K.;Yamato, D.;Yang, T.;Yang, U. K.;Yang, Y. C.;Yao, W. M.;Yeh, G. P.;Yi, K.;Yoh, J.;Yorita, K.;Yoshida, T.;Yu, G. B.;Yu, I.;Zanetti, A. M.;Zeng, Y.;Zhou, C.;Zucchellia, S.;Collaboration, C. D. F.An updated measurement of the single top quark production cross section is presented using the full data set collected by the Collider Detector at Fermilab (CDF), corresponding to 9.5 fb(-1) of integrated luminosity from proton-antiproton collisions at 1.96 TeV center-of-mass energy. The events selected contain an imbalance in the total transverse momentum, jets identified as containing b quarks, and no identified leptons. The sum of the s- and t-channel single top quark cross sections is measured to be 3.53(-1.16)(+1.25) pb and a lower limit on the magnitude of the top-to-bottom quark coupling, vertical bar V-tb vertical bar of 0.63, is obtained at the 95% credibility level. These measurements are combined with previously reported CDF results obtained from events with an imbalance in total transverse momentum, jets identified as originating from b quarks, and one identified lepton. The combined cross section is measured to be 3.02(-0.48)(+0.49) pb and a lower limit on vertical bar V-tb vertical bar of 0.84 is obtained at the 95% credibility level
- …
