99 research outputs found

    Normal state magnetotransport properties of β\beta-FeSe superconductors

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    We present β\beta-FeSe magnetotransport data, and describe them theoretically. Using a simplified microscopic model with two correlated effective orbitals, we determined the normal state electrical conductivity and Hall coefficient, using Kubo formalism. With model parameters relevant for Fe-chalcogenides, we describe the observed effect of the structural transition on the ab-plane electrical resistivity, as well as on the magnetoresistance. Temperature-dependent Hall coefficient data were measured at 16 Tesla, and their theoretical description improves upon inclusion of moderate electron correlations. We confirm the effect of the structural transition on the electronic structure, finding deformation-induced band splittings comparable to those reported in angle-resolved photoemission.Comment: 6 pages, 5 figure

    Self-Regulation Therapy to Reproduce Drug Effects: A Suggestion Technique to Change Personality and the DRD3 Gene Expression

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    This study proposes a strategy, based on self-regulation therapy, to change personality and its biological substrate, the DRD3 gene expression. It has been demonstrated that acute doses of stimulating drugs, like methylphenidate, are able to change personality and the expression of certain genes in the short term. On the other hand, self-regulation therapy has been proven to reproduce the effects of drugs. Thus, it is feasible to hope that self-regulation therapy is equally effective as methylphenidate in changing personality and the gene expression. This is a preliminary study with a single-case experimental design with replication in which 2 subjects participated. The results and potential implications for research and psychotherapy are discussed.Amigó Borrás, S.; Caselles Moncho, A.; Micó Ruiz, JC. (2013). Self-Regulation Therapy to Reproduce Drug Effects: A Suggestion Technique to Change Personality and the DRD3 Gene Expression. International Journal of Clinical and Experimental Hypnosis. 61(3):282-304. doi:10.1080/00207144.2013.784094S282304613Accili, D., Fishburn, C. S., Drago, J., Steiner, H., Lachowicz, J. E., Park, B. H., … Fuchs, S. (1996). A targeted mutation of the D3 dopamine receptor gene is associated with hyperactivity in mice. Proceedings of the National Academy of Sciences, 93(5), 1945-1949. doi:10.1073/pnas.93.5.1945Amigó, S., Caselles, A., & Micó, J. C. (2008). A dynamic extraversion model. The brain’s response to a single dose of a stimulant drug. British Journal of Mathematical and Statistical Psychology, 61(1), 211-231. doi:10.1348/000711007x185514Amigó, S., Caselles, A., & Micó, J. C. (2010). General Factor of Personality Questionnaire (GFPQ): Only one Factor to Understand Personality? The Spanish journal of psychology, 13(1), 5-17. doi:10.1017/s1138741600003644Barbanti, P., Bronzetti, E., Ricci, A., Cerbo, R., Fabbrini, G., Buzzi, M. G., … Lenzi, G. L. (1996). Increased density of dopamine D5 receptor in peripheral blood lymphocytes of migraineurs: a marker for migraine? Neuroscience Letters, 207(2), 73-76. doi:10.1016/0304-3940(96)12491-5Barbanti, P., Fabbrini, G., Ricci, A., Bruno, G., Cerbo, R., Bronzetti, E., … Luigi Lenzi, G. (2000). Reduced density of dopamine D2-like receptors on peripheral blood lymphocytes in Alzheimer’s disease. Mechanisms of Ageing and Development, 120(1-3), 65-75. doi:10.1016/s0047-6374(00)00183-4Barbanti, P., Fabbrini, G., Ricci, A., Pascali, M. P., Bronzetti, E., Amenta, F., … Cerbo, R. (2000). Migraine Patients Show an Increased Density of Dopamine D3 and D4 Receptors on Lymphocytes. Cephalalgia, 20(1), 15-19. doi:10.1046/j.1468-2982.2000.00001.xBarr, G. A., Sharpless, N. S., Cooper, S., Schiff, S. R., Paredes, W., & Bridger, W. H. (1983). Classical conditioning, decay and extinction of cocaine-induced hyperactivity and stereotypy. Life Sciences, 33(14), 1341-1351. doi:10.1016/0024-3205(83)90817-2Baumann, F. 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The Spanish journal of psychology, 14(2), 675-692. doi:10.5209/rev_sjop.2011.v14.n2.16Comings, D., Gade-Andavolu, R., Gonzalez, N., Wu, S., Muhleman, D., Blake, H., … MacMurray, J. (2001). A multivariate analysis of 59 candidate genes in personality traits: the temperament and character inventory. Clinical Genetics, 58(5), 375-385. doi:10.1034/j.1399-0004.2000.580508.xCzermak, C., Lehofer, M., Renger, H., Wagner, E. M., Lemonis, L., Rohrhofer, A., … Liebmann, P. M. (2004). Dopamine receptor D3 mRNA expression in human lymphocytes is negatively correlated with the personality trait of persistence. Journal of Neuroimmunology, 150(1-2), 145-149. doi:10.1016/j.jneuroim.2004.01.009Daly, S. A., & Waddington, J. L. (1993). Behavioural effects of the putative D-3 dopamine receptor agonist 7-OH-DPAT in relation to other «D-2-like» agonists. Neuropharmacology, 32(5), 509-510. doi:10.1016/0028-3908(93)90177-5Gilbert, D. G., & Hagen, R. L. (1985). Electrodermal responses to movie stressors: Nicotine × extraversion interactions. Personality and Individual Differences, 6(5), 573-578. doi:10.1016/0191-8869(85)90006-6Gilbert, D. B., Millar, J., & Cooper, S. J. (1995). The putative dopamine D3 agonist, 7-OH-DPAT, reduces dopamine release in the nucleus accumbens and electrical self-stimulation to the ventral tegmentum. Brain Research, 681(1-2), 1-7. doi:10.1016/0006-8993(95)00247-nHastings, A. (2006). An Extended Nondrug MDMA-Like Experience Evoked Through Posthypnotic Suggestion. Journal of Psychoactive Drugs, 38(3), 273-283. doi:10.1080/02791072.2006.10399853Ilani, T., Ben-Shachar, D., Strous, R. D., Mazor, M., Sheinkman, A., Kotler, M., & Fuchs, S. (2001). A peripheral marker for schizophrenia: Increased levels of D3 dopamine receptor mRNA in blood lymphocytes. Proceedings of the National Academy of Sciences, 98(2), 625-628. doi:10.1073/pnas.98.2.625Kollins, S. H., MacDonald, E. K., & Rush, C. R. (2001). Assessing the abuse potential of methylphenidate in nonhuman and human subjects: a review. Pharmacology Biochemistry and Behavior, 68(3), 611-627. doi:10.1016/s0091-3057(01)00464-6Lejeune, F., & Millan, M. J. (1995). Activation of dopamine D3 autoreceptors inhibits firing of ventral tegmental dopaminergic neurones in vivo. European Journal of Pharmacology, 275(3), R7-R9. doi:10.1016/0014-2999(95)00106-uLevant, B. (1998). Differential distribution of D3 dopamine receptors in the brains of several mammalian species. Brain Research, 800(2), 269-274. doi:10.1016/s0006-8993(98)00529-0LEVINE, D. G. (1974). «Needle Freaks»: Compulsive Self-Injection Drug Users. American Journal of Psychiatry, 131(3), 297-300. doi:10.1176/ajp.131.3.297LYNCH, J. J., STEIN, E. A., & FERTZIGER, A. P. (1976). AN ANALYSIS OF 70 YEARS OF MORPHINE CLASSICAL CONDITIONING. The Journal of Nervous and Mental Disease, 163(1), 47-58. doi:10.1097/00005053-197607000-00007Merchant, K. M., Figur, L. M., & Evans, D. L. (1996). Induction of c-fos mRNA in Rat Medial Prefrontal Cortex by Antipsychotic Drugs: Role of Dopamine D2 and D3 Receptors. Cerebral Cortex, 6(4), 561-570. doi:10.1093/cercor/6.4.561Muntaner, C., Cascella, N. G., Kumor, K. M., Nagoshi, C., Herning, R., & Jaffe, J. (1989). Placebo responses to cocaine administration in humans: effects of prior administrations and verbal instructions. Psychopharmacology, 99(2), 282-286. doi:10.1007/bf00442823Musek, J. (2007). A general factor of personality: Evidence for the Big One in the five-factor model. Journal of Research in Personality, 41(6), 1213-1233. doi:10.1016/j.jrp.2007.02.003Nagai, Y., Ueno, S., Saeki, Y., Soga, F., Hirano, M., & Yanagihara, T. (1996). Decrease of the D3 dopamine receptor mRNA expression in lymphocytes from patients with Parkinson’s disease. Neurology, 46(3), 791-795. doi:10.1212/wnl.46.3.791Neisewander, J. L., Baker, D. A., Fuchs, R. A., Tran-Nguyen, L. T. L., Palmer, A., & Marshall, J. F. (2000). Fos Protein Expression and Cocaine-Seeking Behavior in Rats after Exposure to a Cocaine Self-Administration Environment. The Journal of Neuroscience, 20(2), 798-805. doi:10.1523/jneurosci.20-02-00798.2000IMissbrandt, H., Ekman, A., Eriksson, E., & Heilig, M. (1995). Dopamine D3 receptor antisense influences dopamine synthesis in rat brain. NeuroReport, 6(3), 573-576. doi:10.1097/00001756-199502000-00041O’BRIEN, C. P., CHILDRESS, A. R., McLELLAN, A. T., & EHRMAN, R. (1992). Classical Conditioning in Drug-Dependent Humans. Annals of the New York Academy of Sciences, 654(1 The Neurobiol), 400-415. doi:10.1111/j.1749-6632.1992.tb25984.xO’Brien, C. P., Nace, E. P., Mintz, J., Meyers, A. L., & Ream, N. (1980). Follow-up of Vietnam veterans. I. relapse to drug use after Vietnam service. Drug and Alcohol Dependence, 5(5), 333-340. doi:10.1016/0376-8716(80)90159-3Pilla, M., Perachon, S., Sautel, F., Garrido, F., Mann, A., Wermuth, C. G., … Sokoloff, P. (1999). Selective inhibition of cocaine-seeking behaviour by a partial dopamine D3 receptor agonist. Nature, 400(6742), 371-375. doi:10.1038/22560Post, R. M., Lockfeld, A., Squillace, K. M., & Contel, N. R. (1981). Drug-environment interaction: Context dependency of cocaine-induced behavioral sensitization. Life Sciences, 28(7), 755-760. doi:10.1016/0024-3205(81)90157-0Ricci, A., Bronzetti, E., Mignini, F., Tayebati, S. K., Zaccheo, D., & Amenta, F. (1999). Dopamine D1-like receptor subtypes in human peripheral blood lymphocytes. Journal of Neuroimmunology, 96(2), 234-240. doi:10.1016/s0165-5728(99)00042-9Schiltz, C. A., Kelley, A. E., & Landry, C. F. (2005). Contextual cues associated with nicotine administration increasearcmRNA expression in corticolimbic areas of the rat brain. European Journal of Neuroscience, 21(6), 1703-1711. doi:10.1111/j.1460-9568.2005.04001.xSchutte, N. S., Malouff, J. M., Segrera, E., Wolf, A., & Rodgers, L. (2003). States reflecting the Big Five dimensions. 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    Low temperature microwave emission from molecular clusters

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    We investigate the experimental detection of the electromagnetic radiation generated in the fast magnetization reversal in Mn12-acetate at low temperatures. In our experiments we used large single crystals and assemblies of several small single crystals of Mn12-acetate placed inside a cylindrical stainless steel waveguide in which an InSb hot electron device was also placed to detect the radiation. All this was set inside a SQUID magnetometer that allowed to change the magnetic field and measure the magnetic moment and the temperature of the sample as the InSb detected simultaneously the radiation emitted from the molecular magnets. Our data show a sequential process in which the fast inversion of the magnetic moment first occurs, then the radiation is detected by the InSb device, and finally the temperature of the sample increases during 15 ms to subsequently recover its original value in several hundreds of milliseconds.Comment: changed conten

    Rhythmic dynamics and synchronization via dimensionality reduction : application to human gait

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    Reliable characterization of locomotor dynamics of human walking is vital to understanding the neuromuscular control of human locomotion and disease diagnosis. However, the inherent oscillation and ubiquity of noise in such non-strictly periodic signals pose great challenges to current methodologies. To this end, we exploit the state-of-the-art technology in pattern recognition and, specifically, dimensionality reduction techniques, and propose to reconstruct and characterize the dynamics accurately on the cycle scale of the signal. This is achieved by deriving a low-dimensional representation of the cycles through global optimization, which effectively preserves the topology of the cycles that are embedded in a high-dimensional Euclidian space. Our approach demonstrates a clear advantage in capturing the intrinsic dynamics and probing the subtle synchronization patterns from uni/bivariate oscillatory signals over traditional methods. Application to human gait data for healthy subjects and diabetics reveals a significant difference in the dynamics of ankle movements and ankle-knee coordination, but not in knee movements. These results indicate that the impaired sensory feedback from the feet due to diabetes does not influence the knee movement in general, and that normal human walking is not critically dependent on the feedback from the peripheral nervous system

    An assessment of microstructure and properties of laser clad coatings of ultrafine eutectic beta Ti-Fe-Nb-Sn composite for implants

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    [EN] High mechanical strength (1800¿2500 MPa), elastic modulus (50¿110 GPa) close to that of human bone and good corrosion resistance are some characteristics of ultrafine eutectic Ti-based nanocomposite alloys. This is explained due to a combination of soft ß-Ti (bcc) matrix and hard/refined TiFe and/or Ti3Sn intermetallic particles. The present study focuses on the production and characterization of Ti-Fe-Nb-Sn eutectic alloys using biocompatible ß-stabilizer elements, such as Nb, Fe and Sn. Different fabrication techniques based on rapid solidification may be highlighted considering the application of these alloys as implant materials. In the present investigation, the processing routes comprise single tracks and coatings (overlapped tracks) by laser melting of pre-alloyed powders of the Ti66Fe20Nb8Sn6 alloy deposited into a Ti substrate. To select this composition (i.e., the Ti66Fe20Nb8Sn6 alloy), three Ti-Fe-Nb based chemistries (Ti63Fe23Nb8Sn6, Ti60Fe23Nb8Sn9 and Ti66Fe20Nb8Sn6) were originally generated under bulk conditions by using a suction casting apparatus. These alloys were further evaluated. All samples were analyzed by metallography, X-ray diffraction (XRD), scanning electron microscopy (SEM-EBSD and SEM-EDS), microhardness, nanohardness and elastic modulus. The results showed that the proportions of the formed TiFe and Ti3Sn intermetallic particles dispersed within the soft ß-Ti matrix play a fundamental role on the final properties. Lower elastic modulus (E ~72 GPa) is associated with the Ti66Fe20Nb8Sn6 bulk alloy. The laser clad coatings showed a broad range of nanohardness (4.8¿8.0 GPa) and elastic modulus (98¿150 GPa) depending on the related laser power and scanning speeds.The authors acknowledge the financial supports provided by CNPq (National Council for Scientific and Technological Development - Universal Project # 473777/2011-8) and by FAPESP (Sao Paulo State Research Foundation - Thematic Project # 2013/05987-8). Furthermore, we are grateful for the Grants (#2015/17090-8 - BEPE of A.L.V. and # 2015/19978-6 - BPE of C.R.M.A.) provided by FAPESP.Afonso, CRM.; Vidilli, AL.; Spinelli, JE.; Riva, R.; Amigó, V.; Kiminami, CS. (2017). An assessment of microstructure and properties of laser clad coatings of ultrafine eutectic beta Ti-Fe-Nb-Sn composite for implants. Surface and Coatings Technology. 328:161-171. https://doi.org/10.1016/j.surfcoat.2017.08.035S16117132

    Mechanical, stress corrosion cracking and crystallographic study on flat components processed by two combined severe plastic deformation techniques

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    Although the current field of application of Al–alloy 7075 (AA7075) is vast, it is still limited due to some drawbacks, especially due to its susceptibility to stress corrosion cracking (SCC). This work aims to evaluate the microstructural, mechanical, and stress corrosion cracking (SCC) behaviors on an AA7075 in flat format deformed by a combination of repetitive corrugation and straightening (RCS) and accumulative roll bonding (ARB) techniques. Four different deformation routes were applied, namely: ARB (A), RCS (R), RCS + ARB (RA) and ARB + RCS (AR). As expected, the efficiency for grain refinement depends on the applied route, in terms of average grain size regarding the initial condition IC): AR > A > RA > R. All conditions resulted in unimodal and widened grain size distributions of micro-, submicro- and nano-metric dimensions. The study of crystallographic orientations showed that route R did not generate any new texture, whereas different preferred orientations were obtained for routes A, RA, and AR. The hardness and three-point bending tests showed an improvement of mechanical strength in the following order: AR > RA > A > R. The cracks per cm2 obtained in the corrosion study indicated that the best SCC resistance was R > A > AR > RA. Based on the above, the best combination of microstructural, mechanical, and SCC properties until one deformation pass was obtained by the single route of the ARB process.Peer ReviewedPostprint (published version

    Inhibition in multiclass classification

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    The role of inhibition is investigated in a multiclass support vector machine formalism inspired by the brain structure of insects. The so-called mushroom bodies have a set of output neurons, or classification functions, that compete with each other to encode a particular input. Strongly active output neurons depress or inhibit the remaining outputs without knowing which is correct or incorrect. Accordingly, we propose to use a classification function that embodies unselective inhibition and train it in the large margin classifier framework. Inhibition leads to more robust classifiers in the sense that they perform better on larger areas of appropriate hyperparameters when assessed with leave-one-out strategies. We also show that the classifier with inhibition is a tight bound to probabilistic exponential models and is Bayes consistent for 3-class problems. These properties make this approach useful for data sets with a limited number of labeled examples. For larger data sets, there is no significant comparative advantage to other multiclass SVM approaches

    Inhibition in multiclass classification

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    The role of inhibition is investigated in a multiclass support vector machine formalism inspired by the brain structure of insects. The so-called mushroom bodies have a set of output neurons, or classification functions, that compete with each other to encode a particular input. Strongly active output neurons depress or inhibit the remaining outputs without knowing which is correct or incorrect. Accordingly, we propose to use a classification function that embodies unselective inhibition and train it in the large margin classifier framework. Inhibition leads to more robust classifiers in the sense that they perform better on larger areas of appropriate hyperparameters when assessed with leave-one-out strategies. We also show that the classifier with inhibition is a tight bound to probabilistic exponential models and is Bayes consistent for 3-class problems. These properties make this approach useful for data sets with a limited number of labeled examples. For larger data sets, there is no significant comparative advantage to other multiclass SVM approaches
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