Current-voltage characteristics of diluted Josephson-junction arrays: scaling behavior at current and percolation threshold

Dynamical simulations and scaling arguments are used to study the current-voltage (IV) characteristics of a two-dimensional model of resistively shunted Josephson-junction arrays in presence of percolative disorder, at zero external field. Two different limits of the Josephson-coupling concentration $p$ are considered, where $p_c$ is the percolation threshold. For $p$ $>$ $p_c$ and zero temperature, the IV curves show power-law behavior above a disorder dependent critical current. The power-law behavior and critical exponents are consistent with a simple scaling analysis. At $p_c$ and finite temperature $T$, the results show the scaling behavior of a T=0 superconducting transition. The resistance is linear but vanishes for decreasing $T$ with an apparent exponential behavior. Crossover to non-linearity appears at currents proportional to $$, with a thermal-correlation length exponent $\nu_T$ consistent with the corresponding value for the diluted XY model at $p_c$.Comment: Revtex, 9 postscript pages, to appear in Phys. Rev.

Physical nature of critical wave functions in Fibonacci systems

We report on a new class of critical states in the energy spectrum of general Fibonacci systems. By introducing a transfer matrix renormalization technique, we prove that the charge distribution of these states spreads over the whole system, showing transport properties characteristic of electronic extended states. Our analytical method is a first step to find out the link between the spatial structure of these critical wave functions and the quasiperiodic order of the underlying lattice.Comment: REVTEX 3.0, 11 pages, 2 figures available upon request. To appear in Phys. Rev. Let

Design and simulation of an imaging neutral particle analyzer for the ASDEX Upgrade tokamak

An Imaging Neutral Particle Analyzer (INPA) diagnostic has been designed for the ASDEX Upgrade (AUG) tokamak. The AUG INPA diagnostic will measure fast neutrals escaping the plasma after charge exchange reactions. The neutrals will be ionized by a 20 nm carbon foil and deflected toward a scintillator by the local magnetic field. The use of a neutral beam injector (NBI) as an active source of neutrals will provide radially resolved measurements, while the use of a scintillator as an active component will allow us to cover the whole plasma along the NBI line with unprecedented phase-space resolution (<12 keV and 8 cm) and a fast temporal response (up to 1 kHz with the high resolution acquisition system and above 100 kHz with the low resolution one), making it suitable to study localized fast-ion redistributions in phase space.European Union’s Horizon 2020 (Grant Agreement No. 805162)Ministerio de Ciencia, Innovación y Universidades (Grant No. FPU19/02486

Observation of SN2011fe with INTEGRAL. I. Pre--maximum phase

SN2011fe was detected by the Palomar Transient Factory on August 24th 2011 in M101 a few hours after the explosion. From the early optical spectra it was immediately realized that it was a Type Ia supernova thus making this event the brightest one discovered in the last twenty years. The distance of the event offered the rare opportunity to perform a detailed observation with the instruments on board of INTEGRAL to detect the gamma-ray emission expected from the decay chains of $^{56}$Ni. The observations were performed in two runs, one before and around the optical maximum, aimed to detect the early emission from the decay of $^{56}$Ni and another after this maximum aimed to detect the emission of $^{56}$Co. The observations performed with the instruments on board of INTEGRAL (SPI, IBIS/ISGRI, JEMX and OMC) have been analyzed and compared with the existing models of gamma-ray emission from such kind of supernovae. In this paper, the analysis of the gamma-ray emission has been restricted to the first epoch. Both, SPI and IBIS/ISGRI, only provide upper-limits to the expected emission due to the decay of $^{56}$Ni. These upper-limits on the gamma-ray flux are of 7.1 $\times$ 10$^{-5}$ ph/s/cm$^2$ for the 158 keV line and of 2.3 $\times$ 10$^{-4}$ ph/s/cm$^2$ for the 812 keV line. These bounds allow to reject at the $2\sigma$ level explosions involving a massive white dwarf, $\sim 1$ M$\odot$ in the sub--Chandrasekhar scenario and specifically all models that would have substantial amounts of radioactive $^{56}$Ni in the outer layers of the exploding star responsible of the SN2011fe event. The optical light curve obtained with the OMC camera also suggests that SN2011fe was the outcome of the explosion, possibly a delayed detonation although other models are possible, of a CO white dwarf that synthesized $\sim 0.55$ M$_\odot$ of $^{56}$Ni. For this specific model.Comment: Accepted for publication in A&A. 10 pages, 10 figure

Phase-coherence threshold and vortex-glass state in diluted Josephson-junction arrays in a magnetic field

We study numerically the interplay of phase coherence and vortex-glass state in two-dimensional Josephson-junction arrays with average rational values of flux quantum per plaquette $f$ and random dilution of junctions. For $f=1/2$, we find evidence of a phase coherence threshold value $x_s$, below the percolation concentration of diluted junctions $x_p$, where the superconducting transition vanishes. For $x_s < x < x_p$ the array behaves as a zero-temperature vortex glass with nonzero linear resistance at finite temperatures. The zero-temperature critical currents are insensitive to variations in $f$ in the vortex glass region while they are strongly $f$ dependent in the phase coherent region.Comment: 6 pages, 4 figures, to appear in Phys. Rev.

Evaluation by re-derivation of a paternal line after 18 generations on seminal traits, proteome and fertility

[EN] Males from a paternal line selected for growth traits were used to produce semen doses at insemination centres and farms in a breeding scheme for rabbit meat production. The aim of this study was to assess whether a program of selection by daily gain in fattening period changed the seminal traits, plasma and sperm proteome and the fertility of semen when used in artificial insemination. Thirty-nine males from a paternal line were obtained by re-derivation from vitrified embryos with a difference of 18 generations (G21V and G39V). Sperm production parameters, morphological traits, sperm motility parameters and viability were evaluated from ejaculates. Seminal plasma and sperm proteome of three pool ejaculates from 10 mature males of each group were analysed and semen doses were used to inseminate 311 females. Only the percentage of abnormal sperm showed significant differences, with G21V presenting fewer abnormal sperm than G39V (10.5 +/- 2.63 vs 23.8 +/- 1.98). The discriminant analysis (DA-PLS) showed a clear effect of the generation for plasma and sperm proteome. In seminal plasma, 643 proteins were reported and 64 proteins were differentially expressed, of which 56 were overexpressed in G39V (87.5%). Sperm proteome reported 1360 proteins with 132 differentially abundant proteins. Of the total, 89 proteins were overexpressed in G39V (67.4%). From the 64 and 132 differentially abundant proteins of plasma and sperm, 19 and 26 had a FC >1.5, 12 and 13 of them belonging to the Oryctolagus cuniculus taxonomy, respectively. Despite observing differences in important proteins related to capacitation, sperm motility or immunoprotection and consequently to the fertilization process (TMPRSS2, Serpin family, Farn71f1, ATPase H+ transporting accessory protein 2, carbonic anhydrase 2, UDP-glucose glycoprotein glucosyltransferase 2), no differences in fertility and prolificacy were detected when commercial seminal doses were used for insemination from both male groups. However, overabundance of KIAA1324 protein can be related to the increase in abnormal sperm after selection by growth rate.This research was supported by AGL2017-85162-C2-1-R research project funded by Ministerio de Economia, Industria y Competitividad (MICINN, Spain). X Garcia-Dominguez was supported by a research grant from MICINN (BES-2015-072429). English text version was revised by N. Macowan English Language Service.Juárez, JD.; Marco-Jiménez, F.; Talaván, AM.; García-Domínguez, X.; Viudes-De-Castro, MP.; Lavara, R.; Vicente Antón, JS. (2020). Evaluation by re-derivation of a paternal line after 18 generations on seminal traits, proteome and fertility. Livestock Science. 232:1-13. https://doi.org/10.1016/j.livsci.2019.103894S113232Antalis, T. M., Bugge, T. H., & Wu, Q. (2011). Membrane-Anchored Serine Proteases in Health and Disease. Proteases in Health and Disease, 1-50. doi:10.1016/b978-0-12-385504-6.00001-4Bezerra, M. J. B., Arruda-Alencar, J. M., Martins, J. A. M., Viana, A. G. A., Viana Neto, A. M., Rêgo, J. P. A., … Moura, A. A. (2019). Major seminal plasma proteome of rabbits and associations with sperm quality. Theriogenology, 128, 156-166. doi:10.1016/j.theriogenology.2019.01.013Brun, J.-M., Theau-Clément, M., & Bolet, G. (2002). The relationship between rabbit semen characteristics and reproductive performance after artificial insemination. Animal Reproduction Science, 70(1-2), 139-149. doi:10.1016/s0378-4320(01)00197-xBrun, J.-M., Theau-Clément, M., Esparbié, J., Falières, J., Saleil, G., & Larzul, C. (2006). Semen production in two rabbit lines divergently selected for 63-d body weight. Theriogenology, 66(9), 2165-2172. doi:10.1016/j.theriogenology.2006.07.004Brun, J. M., Sanchez, A., Ailloud, E., Saleil, G., & Theau-Clément, M. (2016). Genetic parameters of rabbit semen traits and male fertilising ability. Animal Reproduction Science, 166, 15-21. doi:10.1016/j.anireprosci.2015.12.008Bünger, L., Lewis, R. M., Rothschild, M. F., Blasco, A., Renne, U., & Simm, G. (2005). Relationships between quantitative and reproductive fitness traits in animals. Philosophical Transactions of the Royal Society B: Biological Sciences, 360(1459), 1489-1502. doi:10.1098/rstb.2005.1679Casares-Crespo, L., Fernández-Serrano, P., Vicente, J. S., Marco-Jiménez, F., & Viudes-de-Castro, M. P. (2018). Rabbit seminal plasma proteome: The importance of the genetic origin. Animal Reproduction Science, 189, 30-42. doi:10.1016/j.anireprosci.2017.12.004Casares-Crespo, L., Fernández-Serrano, P., & Viudes-de-Castro, M. P. (2019). Proteomic characterization of rabbit (Oryctolagus cuniculus) sperm from two different genotypes. Theriogenology, 128, 140-148. doi:10.1016/j.theriogenology.2019.01.026Castellini, C., Lattaioli, P., Moroni, M., & Minelli, A. (2000). Effect of seminal plasma on the characteristics and fertility of rabbit spermatozoa. Animal Reproduction Science, 63(3-4), 275-282. doi:10.1016/s0378-4320(00)00181-0Castellini, C., Cardinali, R., Dal Bosco, A., Minelli, A., & Camici, O. (2006). Lipid composition of the main fractions of rabbit semen. Theriogenology, 65(4), 703-712. doi:10.1016/j.theriogenology.2005.05.053Castellini, C., Mourvaki, E., Cardinali, R., Collodel, G., Lasagna, E., Del Vecchio, M. T., & Dal Bosco, A. (2012). Secretion patterns and effect of prostate-derived granules on the sperm acrosome reaction of rabbit buck. Theriogenology, 78(4), 715-723. doi:10.1016/j.theriogenology.2012.02.012Courtens, J., Bolet, G., & Theau-Clément, M. (1994). Effect of acrosome defects and sperm chromatin decondensation on fertility and litter size in the rabbit. Preliminary electron-microscopic study. Reproduction Nutrition Development, 34(5), 427-437. doi:10.1051/rnd:19940504Choucair, F., 2018. Unraveling the sperm transcriptome by nextgeneration sequencing and the global epigenetic and landscape in infertile men. Molecular Biology.Université Côted’ Azur; Université libanaise, NNT:2018AZUR4058. https://tel.archives-ouvertes.fr/tel-01958881.Davis, B. K., & Davis, N. V. (1983). Binding by glycoproteins of seminal plasma membrane vesicles accelerates decapacitation in rabbit spermatozoa. Biochimica et Biophysica Acta (BBA) - Biomembranes, 727(1), 70-76. doi:10.1016/0005-2736(83)90370-xEllerman, D. A., Myles, D. G., & Primakoff, P. (2006). A Role for Sperm Surface Protein Disulfide Isomerase Activity in Gamete Fusion: Evidence for the Participation of ERp57. Developmental Cell, 10(6), 831-837. doi:10.1016/j.devcel.2006.03.011Estany, J., Camacho, J., Baselga, M., & Blasco, A. (1992). Selection response of growth rate in rabbits for meat production. Genetics Selection Evolution, 24(6), 527. doi:10.1186/1297-9686-24-6-527García-Tomás, M., Sánchez, J., Rafel, O., Ramon, J., & Piles, M. (2006). Variability, repeatability and phenotypic relationships of several characteristics of production and semen quality in rabbit. Animal Reproduction Science, 93(1-2), 88-100. doi:10.1016/j.anireprosci.2005.06.011García-Tomás, M., Sánchez, J., Rafel, O., Ramon, J., & Piles, M. (2006). Heterosis, direct and maternal genetic effects on semen quality traits of rabbits. Livestock Science, 100(2-3), 111-120. doi:10.1016/j.livprodsci.2005.08.004Garénaux, E., Kanagawa, M., Tsuchiyama, T., Hori, K., Kanazawa, T., Goshima, A., … Kitajima, K. (2015). Discovery, Primary, and Crystal Structures and Capacitation-related Properties of a Prostate-derived Heparin-binding Protein WGA16 from Boar Sperm. Journal of Biological Chemistry, 290(9), 5484-5501. doi:10.1074/jbc.m114.635268Gerena, R. L., Irikura, D., Urade, Y., Eguchi, N., Chapman, D. A., & Killian, G. J. (1998). Identification of a Fertility-Associated Protein in Bull Seminal Plasma As Lipocalin-Type Prostaglandin D Synthase1. Biology of Reproduction, 58(3), 826-833. doi:10.1095/biolreprod58.3.826Gervasi, M. G., & Visconti, P. E. (2017). Molecular changes and signaling events occurring in spermatozoa during epididymal maturation. Andrology, 5(2), 204-218. doi:10.1111/andr.12320Jeyendran, R. S., Van der Ven, H. H., Perez-Pelaez, M., Crabo, B. G., & Zaneveld, L. J. D. (1984). Development of an assay to assess the functional integrity of the human sperm membrane and its relationship to other semen characteristics. Reproduction, 70(1), 219-228. doi:10.1530/jrf.0.0700219Kim, T. S., Heinlein, C., Hackman, R. C., & Nelson, P. S. (2006). Phenotypic Analysis of Mice Lacking the Tmprss2 -Encoded Protease. Molecular and Cellular Biology, 26(3), 965-975. doi:10.1128/mcb.26.3.965-975.2006Kwon, J. T., Ham, S., Jeon, S., Kim, Y., Oh, S., & Cho, C. (2017). Expression of uncharacterized male germ cell-specific genes and discovery of novel sperm-tail proteins in mice. PLOS ONE, 12(7), e0182038. doi:10.1371/journal.pone.0182038Larzul, C., Gondret, F., Combes, S., & de Rochambeau, H. (2005). Divergent selection on 63-day body weight in the rabbit: response on growth, carcass and muscle traits. Genetics Selection Evolution, 37(1), 105. doi:10.1186/1297-9686-37-1-105Lavara, R., Mocé, E., Lavara, F., Viudes de Castro, M. P., & Vicente, J. S. (2005). Do parameters of seminal quality correlate with the results of on-farm inseminations in rabbits? Theriogenology, 64(5), 1130-1141. doi:10.1016/j.theriogenology.2005.01.009Lavara, R., Vicente, J. S., & Baselga, M. (2010). Genetic parameter estimates for semen production traits and growth rate of a paternal rabbit line. Journal of Animal Breeding and Genetics, 128(1), 44-51. doi:10.1111/j.1439-0388.2010.00889.xLavara, R., Vicente, J. S., & Baselga, M. (2012). Estimation of genetic parameters for semen quality traits and growth rate in a paternal rabbit line. Theriogenology, 78(3), 567-575. doi:10.1016/j.theriogenology.2012.03.002Lavara, R., Vicente, J. S., & Baselga, M. (2013). Genetic variation in head morphometry of rabbit sperm. Theriogenology, 80(4), 313-318. doi:10.1016/j.theriogenology.2013.04.015Law, R. H., Zhang, Q., McGowan, S., Buckle, A. M., Silverman, G. A., Wong, W., … Whisstock, J. C. (2006). Genome Biology, 7(5), 216. doi:10.1186/gb-2006-7-5-216Leone, M. G., Haq, H. A., & Saso, L. (2002). Lipocalin type prostaglandin D-synthase: which role in male fertility? Contraception, 65(4), 293-295. doi:10.1016/s0010-7824(02)00280-9Lestari, S. W., Miati, D. N., Seoharso, P., Sugiyanto, R., & Pujianto, D. A. (2017). Sperm Na+, K+-ATPase α4 and plasma membrane Ca2+-ATPase (PMCA) 4 regulation in asthenozoospermia. Systems Biology in Reproductive Medicine, 63(5), 294-302. doi:10.1080/19396368.2017.1348565Liao, T.-T., Xiang, Z., Zhu, W.-B., & Fan, L.-Q. (2009). Proteome analysis of round-headed and normal spermatozoa by 2-D fluorescence difference gel electrophoresis and mass spectrometry. Asian Journal of Andrology, 11(6), 683-693. doi:10.1038/aja.2009.59Llobat, L., Marco-Jiménez, F., Peñaranda, D., Thieme, R., Navarrete, A., & Vicente, J. (2011). mRNA Expression in Rabbit Blastocyst and Endometrial Tissue of Candidate Gene Involved in Gestational Losses. Reproduction in Domestic Animals, 47(2), 281-287. doi:10.1111/j.1439-0531.2011.01855.xLoveland, K., Major, A., Butler, R., Jans, D., Miyamoto, Y., & Young, J. (2015). Putting things in place for fertilization: discovering roles for importin proteins in cell fate and spermatogenesis. Asian Journal of Andrology, 17(4), 537. doi:10.4103/1008-682x.154310Lukefahr, S. D., Odi, H. B., & Atakora, J. K. (1996). Mass selection for 70-day body weight in rabbits. Journal of Animal Science, 74(7), 1481. doi:10.2527/1996.7471481xMa, Q., Li, Y., Luo, M., Guo, H., Lin, S., Chen, J., … Gui, Y. (2017). The expression characteristics of FAM71D and its association with sperm motility. Human Reproduction, 32(11), 2178-2187. doi:10.1093/humrep/dex290Marai, I. F. ., Habeeb, A. A. ., & Gad, A. . (2002). Rabbits’ productive, reproductive and physiological performance traits as affected by heat stress: a review. Livestock Production Science, 78(2), 71-90. doi:10.1016/s0301-6226(02)00091-xMocé, E., Vicente, J. S., & Lavara, R. (2003). Effect of freezing–thawing protocols on the performance of semen from three rabbit lines after artificial insemination. Theriogenology, 60(1), 115-123. doi:10.1016/s0093-691x(02)01329-8Naturil-Alfonso, C., Lavara, R., Millán, P., Rebollar, P. G., Vicente, J. S., & Marco-Jiménez, F. (2016). Study of failures in a rabbit line selected for growth rate. World Rabbit Science, 24(1), 47. doi:10.4995/wrs.2016.4016Nizza, A., Di Meo, C., & Taranto, S. (2003). Effect of Collection Rhythms and Season on Rabbit Semen Production. Reproduction in Domestic Animals, 38(6), 436-439. doi:10.1046/j.1439-0531.2003.00458.xOsada, T., Watanabe, G., Kondo, S., Toyoda, M., Sakaki, Y., & Takeuchi, T. (2001). Male Reproductive Defects Caused by Puromycin-Sensitive Aminopeptidase Deficiency in Mice. Molecular Endocrinology, 15(6), 960-971. doi:10.1210/mend.15.6.0643Pascual, J. J., García, C., Martínez, E., Mocé, E., & Vicente, J. S. (2004). Rearing management of rabbit males selected by high growth rate: the effect of diet and season on semen characteristics. Reproduction Nutrition Development, 44(1), 49-63. doi:10.1051/rnd:2004016Pascual, J. J., Marco-Jiménez, F., Martínez-Paredes, E., Ródenas, L., Fabre, C., Juvero, M. A., & Cano, J. L. (2016). Feeding programs promoting daily feed intake stability in rabbit males reduce sperm abnormalities and improve fertility. Theriogenology, 86(3), 730-737. doi:10.1016/j.theriogenology.2016.02.026Pérez-Patiño, C., Parrilla, I., Li, J., Barranco, I., Martínez, E. A., Rodriguez-Martínez, H., & Roca, J. (2019). The Proteome of Pig Spermatozoa Is Remodeled During Ejaculation. Molecular & Cellular Proteomics, 18(1), 41-50. doi:10.1074/mcp.ra118.000840Peralta-Arias, R. D., Vívenes, C. Y., Camejo, M. I., Piñero, S., Proverbio, T., Martínez, E., … Proverbio, F. (2015). ATPases, ion exchangers and human sperm motility. REPRODUCTION, 149(5), 475-484. doi:10.1530/rep-14-0471Piles, M., & Tusell, L. (2011). Genetic correlation between growth and female and male contributions to fertility in rabbit. Journal of Animal Breeding and Genetics, 129(4), 298-305. doi:10.1111/j.1439-0388.2011.00975.xPiles, M., Mocé, M. L., Laborda, P., & Santacreu, M. A. (2013). Feasibility of selection for male contribution to embryo survival as a way of improving male reproductive performance and semen quality in rabbits1. Journal of Animal Science, 91(10), 4654-4658. doi:10.2527/jas.2013-6446Rahman, M. S., Kwon, W.-S., & Pang, M.-G. (2017). Prediction of male fertility using capacitation-associated proteins in spermatozoa. Molecular Reproduction and Development, 84(9), 749-759. doi:10.1002/mrd.22810Roca, J., Martínez, S., Orengo, J., Parrilla, I., Vázquez, J. M., & Martínez, E. A. (2005). Influence of constant long days on ejaculate parameters of rabbits reared under natural environment conditions of Mediterranean area. Livestock Production Science, 94(3), 169-177. doi:10.1016/j.livprodsci.2004.10.011De Rochambeau, H., de la Fuente, L., Rouvier, R., & Ouhayoun, J. (1989). Sélection sur la vitesse de croissance post-sevrage chez le lapin. Genetics Selection Evolution, 21(4), 527. doi:10.1186/1297-9686-21-4-527Saeed, A. I., Sharov, V., White, J., Li, J., Liang, W., Bhagabati, N., … Quackenbush, J. (2003). TM4: A Free, Open-Source System for Microarray Data Management and Analysis. BioTechniques, 34(2), 374-378. doi:10.2144/03342mt01Samanta, L., Parida, R., Dias, T. R., & Agarwal, A. (2018). The enigmatic seminal plasma: a proteomics insight from ejaculation to fertilization. Reproductive Biology and Endocrinology, 16(1). doi:10.1186/s12958-018-0358-6Sabés-Alsina, M., Planell, N., Torres-Mejia, E., Taberner, E., Maya-Soriano, M. J., Tusell, L., … Lopez-Bejar, M. (2015). Daily exposure to summer circadian cycles affects spermatogenesis, but not fertility in an in vivo rabbit model. Theriogenology, 83(2), 246-252. doi:10.1016/j.theriogenology.2014.09.013Shevchenko, A., Jensen, O. N., Podtelejnikov, A. V., Sagliocco, F., Wilm, M., Vorm, O., … Mann, M. (1996). Linking genome and proteome by mass spectrometry: Large-scale identification of yeast proteins from two dimensional gels. Proceedings of the National Academy of Sciences, 93(25), 14440-14445. doi:10.1073/pnas.93.25.14440Shilov, I. V., Seymour, S. L., Patel, A. A., Loboda, A., Tang, W. H., Keating, S. P., … Schaeffer, D. A. (2007). The Paragon Algorithm, a Next Generation Search Engine That Uses Sequence Temperature Values and Feature Probabilities to Identify Peptides from Tandem Mass Spectra. Molecular & Cellular Proteomics, 6(9), 1638-1655. doi:10.1074/mcp.t600050-mcp200Theau-Clément, M., Bolet, G., Sanchez, A., Saleil, G., & Brun, J. M. (2015). Some factors that influence semen characteristics in rabbits. Animal Reproduction Science, 157, 33-38. doi:10.1016/j.anireprosci.2015.03.011Thundathil, J. C., Rajamanickam, G. D., & Kastelic, J. P. (2018). Na/K-ATPase and Regulation of Sperm Function. Animal Reproduction, 15(Suppl. 1), 711-720. doi:10.21451/1984-3143-ar2018-0024Tusell, L., Legarra, A., García-Tomás, M., Rafel, O., Ramon, J., & Piles, M. (2012). Genetic basis of semen traits and their relationship with growth rate in rabbits1. Journal of Animal Science, 90(5), 1385-1397. doi:10.2527/jas.2011-4165Vicente, J. (2004). Study of fertilising capacity of spermatozoa after heterospermic insemination in rabbit using DNA markers. Theriogenology, 61(7-8), 1357-1365. doi:10.1016/j.theriogenology.2003.08.009Vicente, J. S., Llobat, L., Viudes-de-Castro, M. P., Lavara, R., Baselga, M., & Marco-Jiménez, F. (2012). Gestational losses in a rabbit line selected for growth rate. Theriogenology, 77(1), 81-88. doi:10.1016/j.theriogenology.2011.07.019Viudes-de-Castro, M. P., & Vicente, J. S. (1997). Effect of sperm count on the fertility and prolificity rates of meat rabbits. Animal Reproduction Science, 46(3-4), 313-319. doi:10.1016/s0378-4320(96)01628-4Viudes-de-Castro, M. P., Mocé, E., Lavara, R., Marco-Jiménez, F., & Vicente, J. S. (2014). Aminopeptidase activity in seminal plasma and effect of dilution rate on rabbit reproductive performance after insemination with an extender supplemented with buserelin acetate. Theriogenology, 81(9), 1223-1228. doi:10.1016/j.theriogenology.2014.02.003Viudes de Castro, M. P., Casares-Crespo, L., Monserrat-Martínez, A., & Vicente, J. S. (2015). Determination of enzyme activity in rabbit seminal plasma and its relationship with quality semen parameters. World Rabbit Science, 23(4), 247. doi:10.4995/wrs.2015.4064Vizcaíno, J. A., Deutsch, E. W., Wang, R., Csordas, A., Reisinger, F., Ríos, D., … Hermjakob, H. (2014). ProteomeXchange provides globally coordinated proteomics data submission and dissemination. Nature Biotechnology, 32(3), 223-226. doi:10.1038/nbt.2839Wandernoth, P. M., Mannowetz, N., Szczyrba, J., Grannemann, L., Wolf, A., Becker, H. M., … Wennemuth, G. (2015). Normal Fertility Requires the Expression of Carbonic Anhydrases II and IV in Sperm. Journal of Biological Chemistry, 290(49), 29202-29216. doi:10.1074/jbc.m115.698597Weininger, R. B., Fisher, S., Rifkin, J., & Bedford, J. M. (1982). Experimental studies on the passage of specific IgG to the lumen of the rabbit epididymis. Reproduction, 66(1), 251-258. doi:10.1530/jrf.0.0660251Yan, M., Zhang, X., Pu, Q., Huang, T., Xie, Q., Wang, Y., … Gu, J. (2016). Immunoglobulin G Expression in Human Sperm and Possible Functional Significance. Scientific Reports, 6(1). doi:10.1038/srep2016

Tautness for riemannian foliations on non-compact manifolds

For a riemannian foliation $\mathcal{F}$ on a closed manifold $M$, it is known that $\mathcal{F}$ is taut (i.e. the leaves are minimal submanifolds) if and only if the (tautness) class defined by the mean curvature form $\kappa_\mu$ (relatively to a suitable riemannian metric $\mu$) is zero. In the transversally orientable case, tautness is equivalent to the non-vanishing of the top basic cohomology group $H^{^{n}}(M/\mathcal{F})$, where n = \codim \mathcal{F}. By the Poincar\'e Duality, this last condition is equivalent to the non-vanishing of the basic twisted cohomology group $H^{^{0}}_{_{\kappa_\mu}}(M/\mathcal{F})$, when $M$ is oriented. When $M$ is not compact, the tautness class is not even defined in general. In this work, we recover the previous study and results for a particular case of riemannian foliations on non compact manifolds: the regular part of a singular riemannian foliation on a compact manifold (CERF).Comment: 18 page

Chaotic scattering with direct processes: A generalization of Poisson's kernel for non-unitary scattering matrices

The problem of chaotic scattering in presence of direct processes or prompt responses is mapped via a transformation to the case of scattering in absence of such processes for non-unitary scattering matrices, \tilde S. In the absence of prompt responses, \tilde S is uniformly distributed according to its invariant measure in the space of \tilde S matrices with zero average, < \tilde S > =0. In the presence of direct processes, the distribution of \tilde S is non-uniform and it is characterized by the average (\neq 0). In contrast to the case of unitary matrices S, where the invariant measures of S for chaotic scattering with and without direct processes are related through the well known Poisson kernel, here we show that for non-unitary scattering matrices the invariant measures are related by the Poisson kernel squared. Our results are relevant to situations where flux conservation is not satisfied. For example, transport experiments in chaotic systems, where gains or losses are present, like microwave chaotic cavities or graphs, and acoustic or elastic resonators.Comment: Added two appendices and references. Corrected typo

Low-lying single-particle structure of 17C and the N = 14 sub-shell closure

The first investigation of the single-particle structure of the bound states of 17C, via the d(16C, p) transfer reaction, has been undertaken. The measured angular distributions confirm the spin-parity assignments of 1/2+ and 5/2+ for the excited states located at 217 and 335 keV, respectively. The spectroscopic factors deduced for these states exhibit a marked single-particle character, in agreement with shell model and particle-core model calculations, and combined with their near degeneracy in energy provide clear evidence for the absence of the N = 14 sub-shell closure. The very small spectroscopic factor found for the 3/2+ ground state is consistent with theoretical predictions and indicates that the ν1d3/2 strength is carried by unbound states. With a dominant = 0 valence neutron configuration and a very low separation energy, the 1/2+ excited state is a one-neutron halo candidate.Consejo de Instalaciones Científicas y Tecnológicas de UKRI. Reino Unido P003885Agencia Estatal de Investigación de España. Programa Ramón y Cajal RYC-2010-06484 y RYC-2012-11585Ministerio de Economia, Industria y Competitividad (MINECO) de España No. FPA2013-46236-PMinisterio de Ciencia, Innovación y Universidades español y los fondos FEDER FIS2017-88410-P y RTI2018-098117-B-C21El programa de investigación e innovación Horizon 2020 de la Unión Europea Subvención No. 65400