773 research outputs found
A naval travesty : the dismissal of Admiral Sir John Jellicoe, 1917
No full textThis dissertation relates to the dismissal of Admiral Jellicoe, First Sea Lord from November 1916 to December 1917, by Sir Eric Geddes, First Lord of the Admiralty, at the behest of the Prime Minister, David Lloyd George. The dismissal was peremptory and effected without rational explanation, despite Jellicoe having largely fulfilled his primary mission of combating the German U-boat threat to British merchant shipping. The outcome of the war may well have been affected if the level of shipping losses sustained through U-boat attack in April 1917 had continued unabated.
The central argument of the dissertation is that the dismissal was unjustified. As an adjunct, it argues that the received view of certain historians that Jellicoe was not successful as First Sea Lord is unwarranted and originates from severe post war critism of Jellicoe by those with a vested interest in justifying the dismissal, notably Lloyd George.
Supporting these arguments, the following assertions are made. Firstly, given the legacy Jellicoe inherited when joining the Admiralty, through the strategies adopted, organisational changes made and initiatives undertaken in anti-submarine weapons development, the progress made in countering the U-boat threat was notable. Secondly, the universal criticism directed at the Admiralty over the perceived delay in introducing a general convoy system for merchant shipping is not sustainable having regard to primary source documentation. Thirdly, incidents that occurred during the latter part of 1917, and suggested as being factors which contributed to the dismissal, can be discounted. Fourthly, Lloyd George conspired to involve General Haig, Commander of the British Forces France, and the press baron, Lord Northcliffe, in his efforts to mitigate any potential controversy that might result from Jellicoe’s removal from office. Finally, the arguments made by a number of commentators that the Admiralty performed better under Jellicoe’s successor, Admiral Wemyss, is misconceived
western shore
No full textwestern aThey sailed away from New Harbour, to the western shore did go, To risk their lives in dories through frost and wind and snow.PRINTED ITEM DNE-citW. J. KIRWIN JAN 1970 JH 1/70Used I and SupUsed I and Sup4Not usedwestern, wester, westward, ~adventurer, ~charter, ~man, ~merchant, ~ocean, ~banks, ~boat, ~coast,~craft, ~fishery, ~schooner, ~shoreDNE-cit but is not used
Observatório de inovação tecnológica da Fundação CERTI
No full textTCC (graduação em Biblioteconomia) - Universidade Federal de Santa Catarina, FlorianópolisA pesquisa trata-se de um estudo de caso desenvolvida na Fundação CERTI, que apresenta a implantação inicial do Observatório da Inovação Tecnológica. O desenvolvimento econômico e social de um país e sua competitividade global depende também da produção, circulação e uso de tecnologias. Neste sentido, muitas organizações encontram-se engajadas em iniciativas de comunicação e de compartilhamento de conteúdos. Isto visa gerar novas ambiências informacionais e fomentar as inovações. O Observatório pretende reunir, organizar e oferecer aos pesquisadores e empreendedores, bem como as empresas e instituto de pesquisas, referências, ofertas e oportunidades de informação e comunicação que potencializem sua avaliação, conhecimento e uso das inovações tecnológicas. O Observatório funciona como nó de rede difusora de informações, possuindo biblioteca virtual temática, links úteis, editais e oportunidades, noticias sobre pesquisa e desenvolvimento e wiki de tecnologia. Conclui-se que a Observatório é uma iniciativa relevante para fomentar cooperação e inovação na Fundação CERTI
Electroencéphalographie et interfaces cerveau-machine : nouvelles méthodes pour étudier les états mentaux
No full textAvec les avancées technologiques dans le domaine de l'imagerie cérébrale fonctionnelle et les progrès théoriques dans la connaissance des différents éléments neurophysiologiques liés à la cognition, les deux dernières décennies ont vu l'apparition d'interfaces cerveau-machine (ICM) permettant à une personne d'observer en temps réel, ou avec un décalage qui se limite à quelques secondes, sa propre activité cérébrale. Le domaine clinique en général, et plus particulièrement celui de la neuropsychologie et des pathologies conduisant à un handicap moteur lourd, pour lesquels les applications potentielles sont nombreuses qu'elles soient thérapeutiques ou en vue d'une réhabilitation fonctionnelle, a constitué un moteur important de la recherche sur ce nouveau domaine des neurosciences temps réel. Parmi ces applications, le neurofeedback, ou neurothérapie, qui vise l'acquisition par le sujet du contrôle volontaire de certains aspects de son activité cérébrale en vue de les amplifier ou au contraire les diminuer dans un but thérapeutique, voire d'optimisation cognitive, représente une technique prometteuse, alternative aux thérapies et traitements médicamenteux. Cependant, la validation de ce type d'intervention et la compréhension des mécanismes mis en jeux en sont encore à leurs balbutiements. L'entraînement par neurofeedback est souvent long, pouvant s'étaler sur plusieurs semaines. Il est donc très probable que ce type de rééducation cérébrale sollicite des phénomènes de plasticité qui s'inscrivent dans une dynamique lente, et de ce fait, requiert une durée relativement longue d'entraînement pour atteindre les effets à long terme recherchés. Cependant, à cela peuvent s'ajouter de nombreux éléments perturbateurs qui pourraient être à l'origine de la difficulté de l'apprentissage et des longs entraînements nécessaires pour obtenir les résultats attendus. Parmi eux, les perturbations qui viennent déformer le signal enregistré, ou les éléments artefactuels qui ne font pas partie du signal d'intérêt, sont une première cause potentielle. Le manque de spécificité fonctionnelle du signal retourné au sujet pourrait en constituer une deuxième. Nous avons d'une part développé des outils méthodologiques de traitement du signal en vue d'améliorer la robustesse des analyses des signaux EEG, principalement utilisés jusqu'à maintenant dans le domaine du neurofeedback et des ICM, face aux artefacts et au bruit électromagnétique. D'autre part, si l'on s'intéresse au problème de la spécificité fonctionnelle du signal présenté au sujet, des études utilisant l'IRM fonctionnelle ou des techniques de reconstruction de sources à partir du signal EEG, qui fournissent des signaux ayant une meilleure spécificité spatiale, laissent entrevoir de possibles améliorations de la vitesse d'apprentissage. Afin d'augmenter la spécificité spatiale et la contingence fonctionnelle du feedback présenté au sujet, nous avons étudié la stabilité de la décomposition de l'EEG en différentes sources d'activité électrique cérébrale par Analyse en Composantes Indépendantes à travers différentes séances d'enregistrement effectuées sur un même sujet. Nous montrons que ces décompositions sont stables et pourraient permettre d'augmenter la spécificité fonctionnelle de l'entraînement au contrôle de l'activité cérébrale pour l'utilisation d'une ICM. Nous avons également travaillé à l'implémentation d'un outil logiciel permettant l'optimisation des protocoles expérimentaux basés sur le neurofeedback afin d'utiliser ces composantes indépendantes pour rejeter les artefacts en temps réel ou extraire l'activité cérébrale à entraîner. Ces outils sont utiles dans le cadre de l'analyse et de la caractérisation des signaux EEG enregistrés, ainsi que dans l'exploitation de leurs résultats dans le cadre d'un entraînement de neurofeedback. La deuxième partie de ce travail s'intéresse à la mise en place de protocoles de neurofeedback et à l'impact de l'apprentissage. Nous décrivons tout d'abord des résultats obtenus sur une étude pilote qui cherche à évaluer chez des sujets sains l'impact d'un protocole de neurofeedback basé sur le contrôle du rythme Mu. Les changements comportementaux ont été étudiés à l'aide d'un paradigme de signal stop qui permet d'indexer les capacités attentionnelles et d'inhibition de réponse motrice sur lesquelles on s'attend à ce que l'entraînement ICM ait une influence. Pour clore cette partie, nous présentons un nouvel outil interactif immersif pour l'entraînement cérébral, l'enseignement, l'art et le divertissement pouvant servir à évaluer l'impact de l'immersion sur l'apprentissage au cours d'un protocole de neurofeedback. Enfin, les perspectives de l'apport des méthodes et résultats présentés sont discutées dans le contexte du développement des ICMs de nouvelle génération qui prennent en compte la complexité de l'activité cérébrale. Nous présentons les dernières avancées dans l'étude de certains aspects des corrélats neuronaux liés à deux états mentaux ou classes d'états mentaux que l'on pourrait qualifier d'antagonistes par rapport au contrôle de l'attention : la méditation et la dérive attentionnelle, en vue de leur intégration à plus long terme dans un entraînement ICM par neurofeedback.With new technological advances in functional brain imaging and theoretical progress in the knowledge of the different neurophysiologic processes linked to cognition, the last two decades have seen the emergence of Brain-Machine Interfaces (BCIs) allowing a person to observe in real-time, or with a few seconds delay, his own cerebral activity. Clinical domain in general, and more particularly neuropsychology and pathologies leading to heavy motor handicaps, for which potential applications are numerous, whether therapeutic or for functional rehabilitation, has been a major driver of research on this new field of real-time neurosciences. Among these applications, neurofeedback, or neurotherapy, which aims the subject to voluntary control some aspects of his own cerebral activity in order to amplify or reduce them in a therapeutic goal, or for cognitive optimization, represents a promising technique, and an alternative to drug treatments. However, validation of this type of intervention and understanding of involved mechanisms are still in their infancy. Neurofeedback training is often long, up to several weeks. It is therefore very likely that this type of rehabilitation is seeking brain plasticity phenomena that are part of slow dynamics, and thus require a relatively long drive to achieve the desired long-term effects. However, other disturbing elements that could add up to the cause of the difficulty of learning and long training sessions required to achieve the expected results. Among them, the disturbances that come from recorded signal distortions, or artifactual elements that are not part of the signal of interest, are a first potential cause. The lack of functional specificity of the signal returned to the subject could be a second one. We have developed signal processing methodological tools to improve the robustness to artifacts and electromagnetic noise of EEG signals analysis, the main brain imaging technique used so far in the field of neurofeedback and BCIs. On the other hand, if one looks at the issue of functional specificity of the signal presented to the subject, studies using functional MRI or source reconstruction methods from the EEG signal, which both provide signals having a better spatial specificity, suggest improvements to the speed of learning. Seeing Independent Component Analysis as a potential tool to increase the spatial specificity and functional contingency of the feedback signal presented to the subject, we studied the stability of Independent Component Analysis decomposition of the EEG across different recording sessions conducted on the same subjects. We show that these decompositions are stable and could help to increase the functional specificity of BCI training. We also worked on the implementation of a software tool that allows the optimization of experimental protocols based on neurofeedback to use these independent components to reject artifacts or to extract brain activity in real-time. These tools are useful in the analysis and characterization of EEG signals recorded, and in the exploitation of their results as part of a neurofeedback training. The second part focuses on the development of neurofeedback protocols and the impact of learning. We first describe the results of a pilot study which seeks to evaluate the impact of a neurofeedback protocol based on the Mu rhythm control on healthy subjects. The behavioral changes were studied using a stop signal paradigm that indexes the attentional abilities and inhibition of motor responses on which the BCI training can possibly have influence. To conclude this section, we present a new tool for immersive interactive brain training, education, art and entertainment that can be used to assess the impact of immersion on learning during a neurofeedback protocol. Finally, prospects for methods and results presented are discussed in the context of next-generation BCI development which could take brain activity complexity into account. We present the latest advances in the study of certain aspects of the neural correlates associated with two mental states or classes of mental states that could be described as antagonistic with respect to the control of attention: meditation and mind wandering, for their integration in the longer term in an BCI training using neurofeedback
Evidence for W+W- production in (p)over-bar-p collisions at root s=1.8 TeV
No full textWe present results of a search for W+W- production through the leptonic decay channel W+W- --> l(+)l(-) in collision at root s = 1.8 TeV. In a 108 pb(-1) data sample recorded with the Collider Detector at Fermilab, five W+W- candidates are found with an expected standard model background of 1.2 +/- 0.3 events. The W+W- production cross section is measured to be sigma( --> W+W-) = 10.2(-5.1)(+6.3)(stat) +/- 1.6(syst) pb, in agreement with the standard model prediction. Limits on WW gamma and WWZ anomalous couplings are presented
DIRECT MEASUREMENT OF THE W-BOSON WIDTH
No full textThis Letter describes a direct measurement of the W boson decay width, Γ(W), using the high-mass tail of the transverse mass spectrum of W→eν decays recorded by the Collider Detector at Fermilab. We findΓ(W)=2.11±0.28(stat)±0.16(syst) GeV and compare this direct measurement with indirect means of obtaining the width. © 1995 The American Physical Society
MEASUREMENT OF THE W-BOSON MASS
No full textWe present a measurement of the mass of the W boson using data collected with the Collider Detector at Fermilab during the 1992-93 collider run at the Fermilab Tevatron. A fit to the transverse mass spectrum of a sample of 3268 W→μν events recorded in an integrated luminosity of 19.7 pb-1 gives a mass MWμ=80.310±0.205(stat)±0.130(syst) GeV/c2. A fit to 5718 W→eν events recorded in 18.2 pb-1 gives MWe=80.490±0.145(stat) ±0.175syst GeV/c2. Combining these results, accounting for correlated uncertainties, yields MW=80.410±0.180 GeV/c2. © 1995 The American Physical Society
Measurement of the production and differential cross sections of W+W- bosons in association with jets in pp¯ collisions at ?s = 1.96TeV
No full textCitation: Aaltonen, T., Amerio, S., Amidei, D., Anastassov, A., Annovi, A., Antos, J., . . . Zucchelli, S. (2015). Measurement of the production and differential cross sections of W+W- bosons in association with jets in pp¯ collisions at ?s = 1.96TeV. Physical Review D - Particles, Fields, Gravitation and Cosmology, 91(11). doi:10.1103/PhysRevD.91.111101We present a measurement of the W-boson-pair production cross section in pp¯ collisions at 1.96 TeV center-of-mass energy and the first measurement of the differential cross section as a function of jet multiplicity and leading-jet energy. The W+W- cross section is measured in the final state comprising two charged leptons and neutrinos, where either charged lepton can be an electron or a muon. Using data collected by the CDF experiment corresponding to 9.7fb-1 of integrated luminosity, a total of 3027 collision events consistent with W+W- production are observed with an estimated background contribution of 1790 ± 190 events. The measured total cross section is ?(pp¯ ? W+W-)= 14.0 ± 0.6 (stat)-1.0+1.2 (syst) ± 0.8 (lumi) pb, consistent with the standard model prediction. © 2015; American Physical Society. All righs reserved.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.;Fernández Ramos, J. P.;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.;González López, O.;Gorelov, I.;Goshaw, A. T.;Goulianos, K.;Gramellini, E.;Grosso-Pilcher, C.;Group, R. C.;Guimaraes Da Costa, J.;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.;Lucà, 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, Th;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.;Redondo Fernández, I.;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, 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.;Vázquez, F.;Velev, G.;Vellidis, C.;Vernieri, C.;Vidal, M.;Vilar, R.;Vizán, J.;Vogel, M.;Volpi, G.;Wagner, P.;Wallny, R.;Wang, S. M.;Waters, D.;Wester W.C, III;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
A gazetteer and summary of French pottery imported into Scotland c. 1150 to c. 1650 a ceramic contribution to Scotland's economic history Ceramic Resource Disc 3
No full textThe proposal for a series of published inventories, by countries, of all the imported medieval and post medieval pottery recovered from excavations and field walking in Scotland, was advanced on the final day of the Medieval Pottery Research Group’s conference held in Edinburgh in May 2001. Taking on the roll of creating a gazetteer and catalogue of French pottery in Scotland, it was the authors aim to build on the pioneering work of John Hurst and other medieval ceramicists and in the process make a contribution to the ongoing research on identifiable medieval and post-medieval ceramics traded around the North and Irish Sea
Observation of diffractive W-boson production at the Fermilab tevatron
No full textWe report the first observation of diffractively produced W bosons. In a sample of W --> e nu events produced in collisions at root s = 1.8 TeV, we find an excess of events with a forward rapidity gap, which is attributed to diffraction. The probability that this excess is consistent with nondiffractive production is 1.1 x 10(-4) (3.8 sigma). The relatively low fraction of W + jet events observed within this excess implies that mainly quarks from the Pomeron, which mediates diffraction, participate in W production. The diffractive to nondiffractive W production ratio is found to be R(W) = (1.15 +/- 0.55)%
- …
