14,294 research outputs found
New Higgs signals induced by mirror fermion mixing effects
We study the conditions under which flavor violation arises in scalar-fermion
interactions, as a result of the mixing phenomena between the standard model
and exotic fermions. Phenomenological consequences are discussed within the
specific context of a left-right model where these additional fermions have
mirror properties under the new SU(2)_R gauge group.
Bounds on the parameters of the model are obtained from LFV processes; these
results are then used to study the LFV Higgs decays (H --> tau l_j, l_j = e,
mu), which reach branching ratios that could be detected at future colliders.Comment: 12 pages, 2 figures, ReVTex4, graphicx, to be published in Phys. Rev.
Perceived Level of Emotional Intelligence and Sport Performance of College Varsity Athletes in Open-Skill and Closed-Skill Sports
This research is funded by the Office of Research & Development, Laguna State Polytechnic University. Abstract This study examined the emotional intelligence (EI) and sport performance (SP) of college varsity athletes from the Laguna State Polytechnic University. A total of 112 athlete-respondents were involved in the cross-sectional survey, consisting 98 basketball players and 14 swimmers, representing the open-skill and closed-skill athletes, respectively. The perceived levels of EI and SP of the athletes were assessed through self- and coach-rating, using a structured questionnaire with Likert scale items. In general, both open-skill and closed-skill athletes often exhibited high EI levels with respect to four domains: self-awareness, self-management, social awareness, and relationship management. It was found that majority of the athletes had EI scores within the effective functioning or enhanced skills level. The possible relationship between the athletesâ level of EI and SP was examined via the Spearmanâs correlation. Results revealed that the SP of basketball players (open-skill athletes) was significantly correlated (P<0.01) to their self-awareness (r=0.353), self-management (r=0.319), social awareness (r=0.393), and relationship management (r=0.411). In general, it can be deduced that the SP level of the open-skill athletes appeared to improve with increasing EI level. On the other hand, significant relationships did not exist (P>0.05) between the SP of swimmers (closed-skill athletes) and their EI with respect to the four domains. Implementation of motivational programs aimed at enhancing the EI levels among open-skilled athletes are recommended to boost their SP during the game. Keywords: Athlete, basketball, emotional intelligence, sports, swimming DOI: 10.7176/RHSS/9-12-02 Publication date:June 30th 201
Zoonotic Pathogens From Illegally Traded Wildlife Justify Adopting the One Health Perspective in Disease Response
Recent studies have described a direct relationship between the illegal wildlife trade (IWT) and the prevalence of zoonotic pathogens in human populations. In the Philippines, the Philippine Integrated Disease Surveillance and Response (PIDSR) framework outlines the monitoring, response, and management of disease outbreaks, but needs to be updated in the wake of zoonoses from IWT. Here, we identified zoonotic pathogens that may be introduced to human populations through the IWT, pinpointed potential outbreak hotspots, and provided recommendations on how to improve the Philippinesâ public health response while considering One Health. Using seizure data from the Biodiversity Management Bureau (DENR-BMB) covering the period from 2010 to 2016, we found that birds (32.3% of volume) and reptiles (63.3% of volume) were the most frequently seized by law enforcement in terms of incidence and volume. About 54% of seized wildlife could potentially host zoonotic pathogens with bacteria (78.3%), protozoa (34.8%), and viruses (27.5%) being the most represented pathogen groups. Three cities in Metro Manila together accounted for 30% of all seizures in the country followed by Palawan province which accounted for about 28% of seizures. Of the twelve epidemic prone diseases identified in the PIDSR, five diseases were found to have causative agents that could potentially be hosted by the traded wildlife. These findings will not only enhance the approach to surveillance in the PIDSR but will also aid in identifying opportunities to improve policies on agriculture and food security, public health and disease surveillance, and biodiversity conservation
Real-Time and Low-Cost Sensing Technique Based on Photonic Bandgap Structures
This paper was published in OPTICS LETTERS and is made available as an electronic reprint with the permission of OSA. The paper can be found at the following URL on the OSA website: http://dx.doi.org/10.1364/OL.36.002707. Systematic or multiple reproduction or distribution to multiple locations via electronic or other means is prohibited and is subject to penalties under law[EN] A technique for the development of low-cost and high-sensitivity photonic biosensing devices is proposed and experimentally demonstrated. In this technique, a photonic bandgap structure is used as transducer, but its readout is performed by simply using a broadband source, an optical filter, and a power meter, without the need of obtaining the transmission spectrum of the structure; thus, a really low-cost system and real-time results are achieved. Experimental results show that it is possible to detect very low refractive index variations, achieving a detection limit below 2 x 10(-6) refractive index units using this low-cost measuring technique. (C) 2011 Optical Society of America[This work was funded by the Spanish Ministerio de Ciencia e Innovacion (MICINN) under contracts TEC2008-06333, JCI-009-5805, and TEC2008-05490. Support by the Universidad Politecnica de Valencia through program PAID-06-09 and the Conselleria d'Educacio through program GV-2010-031 is acknowledged.GarcĂa CastellĂł, J.; Toccafondo, V.; PĂ©rez MillĂĄn, P.; SĂĄnchez Losilla, N.; Cruz, JL.; Andres, MV.; GarcĂa-RupĂ©rez, J. (2011). Real-Time and Low-Cost Sensing Technique Based on Photonic Bandgap Structures. Optics Letters. 36(14):2707-2709. https://doi.org/10.1364/OL.36.002707S270727093614Fan, X., White, I. M., Shopova, S. I., Zhu, H., Suter, J. D., & Sun, Y. (2008). Sensitive optical biosensors for unlabeled targets: A review. Analytica Chimica Acta, 620(1-2), 8-26. doi:10.1016/j.aca.2008.05.022Homola, J., Yee, S. S., & Gauglitz, G. (1999). Surface plasmon resonance sensors: review. Sensors and Actuators B: Chemical, 54(1-2), 3-15. doi:10.1016/s0925-4005(98)00321-9Kersey, A. D., Davis, M. A., Patrick, H. J., LeBlanc, M., Koo, K. P., Askins, C. G., ⊠Friebele, E. J. (1997). Fiber grating sensors. Journal of Lightwave Technology, 15(8), 1442-1463. doi:10.1109/50.618377De Vos, K., Bartolozzi, I., Schacht, E., Bienstman, P., & Baets, R. (2007). Silicon-on-Insulator microring resonator for sensitive and label-free biosensing. Optics Express, 15(12), 7610. doi:10.1364/oe.15.007610Iqbal, M., Gleeson, M. A., Spaugh, B., Tybor, F., Gunn, W. G., Hochberg, M., ⊠Gunn, L. C. (2010). Label-Free Biosensor Arrays Based on Silicon Ring Resonators and High-Speed Optical Scanning Instrumentation. IEEE Journal of Selected Topics in Quantum Electronics, 16(3), 654-661. doi:10.1109/jstqe.2009.2032510Xu, D.-X., Vachon, M., Densmore, A., Ma, R., DelĂąge, A., Janz, S., ⊠Schmid, J. H. (2010). Label-free biosensor array based on silicon-on-insulator ring resonators addressed using a WDM approach. Optics Letters, 35(16), 2771. doi:10.1364/ol.35.002771Skivesen, N., TĂȘtu, A., Kristensen, M., Kjems, J., Frandsen, L. H., & Borel, P. I. (2007). Photonic-crystal waveguide biosensor. Optics Express, 15(6), 3169. doi:10.1364/oe.15.003169Lee, M. R., & Fauchet, P. M. (2007). Nanoscale microcavity sensor for single particle detection. Optics Letters, 32(22), 3284. doi:10.1364/ol.32.003284GarcĂa-RupĂ©rez, J., Toccafondo, V., Bañuls, M. J., CastellĂł, J. G., Griol, A., Peransi-Llopis, S., & Maquieira, Ă. (2010). Label-free antibody detection using band edge fringes in SOI planar photonic crystal waveguides in the slow-light regime. Optics Express, 18(23), 24276. doi:10.1364/oe.18.024276Toccafondo, V., GarcĂa-RupĂ©rez, J., Bañuls, M. J., Griol, A., CastellĂł, J. G., Peransi-Llopis, S., & Maquieira, A. (2010). Single-strand DNA detection using a planar photonic-crystal-waveguide-based sensor. Optics Letters, 35(21), 3673. doi:10.1364/ol.35.003673Luff, B. J., Wilson, R., Schiffrin, D. J., Harris, R. D., & Wilkinson, J. S. (1996). Integrated-optical directional coupler biosensor. Optics Letters, 21(8), 618. doi:10.1364/ol.21.000618SepĂșlveda, B., RĂo, J. S. del, Moreno, M., Blanco, F. J., Mayora, K., DomĂnguez, C., & Lechuga, L. M. (2006). Optical biosensor microsystems based on the integration of highly sensitive MachâZehnder interferometer devices. Journal of Optics A: Pure and Applied Optics, 8(7), S561-S566. doi:10.1088/1464-4258/8/7/s41Densmore, A., Vachon, M., Xu, D.-X., Janz, S., Ma, R., Li, Y.-H., ⊠Schmid, J. H. (2009). Silicon photonic wire biosensor array for multiplexed real-time and label-free molecular detection. Optics Letters, 34(23), 3598. doi:10.1364/ol.34.003598Povinelli, M. L., Johnson, S. G., & Joannopoulos, J. D. (2005). Slow-light, band-edge waveguides for tunable time delays. Optics Express, 13(18), 7145. doi:10.1364/opex.13.007145Garcia, J., Sanchis, P., Martinez, A., & Marti, J. (2008). 1D periodic structures for slow-wave induced non-linearity enhancement. Optics Express, 16(5), 3146. doi:10.1364/oe.16.003146PĂ©rez-MillĂĄn, P., Torres-PeirĂł, S., Cruz, J. L., & AndrĂ©s, M. V. (2008). Fabrication of chirped fiber Bragg gratings by simple combination of stretching movements. Optical Fiber Technology, 14(1), 49-53. doi:10.1016/j.yofte.2007.07.00
Resonant Enhancement of Charge Density Wave Diffraction in the Rare-Earth Tritellurides
We performed resonant soft X-ray diffraction on known charge density wave
(CDW) compounds, rare earth tri-tellurides. Near the (3d - 4f) absorption
edge of rare earth ions, an intense diffraction peak is detected at a
wavevector identical to that of CDW state hosted on Te planes, indicating a
CDW-induced modulation on the rare earth ions. Surprisingly, the temperature
dependence of the diffraction peak intensity demonstrates an exponential
increase at low temperatures, vastly different than that of the CDW order
parameter. Assuming 4f multiplet splitting due to the CDW states,we present a
model to calculate X-ray absorption spectrum and resonant profile of the
diffraction peak, agreeing well with experimental observations. Our results
demonstrate a situation where the temperature dependence of resonant X-ray
diffraction peak intensity is not directly related to the intrinsic behavior of
the order parameter associated with the electronic order, but is dominated by
the thermal occupancy of the valence states.Comment: 7 pages, 5 figure
Ferromagnetic Enhancement of CE-type Spin Ordering in (Pr,Ca)MnO
We present resonant soft X-ray scattering (RSXS) results from small band
width manganites (Pr,Ca)MnO, which show that the CE-type spin ordering (SO)
at the phase boundary is stabilized only below the canted antiferromagnetic
transition temperature and enhanced by ferromagnetism in the macroscopically
insulating state (FM-I). Our results reveal the fragility of the CE-type
ordering that underpins the colossal magnetoresistance (CMR) effect in this
system, as well as an unexpected cooperative interplay between FM-I and CE-type
SO which is in contrast to the competitive interplay between the ferromagnetic
metallic (FM-M) state and CE-type ordering.Comment: Accepted for publication in Phys. Rev. Let
Characterization of bipartite states using a single homodyne detector
We suggest a scheme to reconstruct the covariance matrix of a two-mode state
using a single homodyne detector plus a polarizing beam splitter and a
polarization rotator. It can be used to fully characterize bipartite Gaussian
states and to extract relevant informations on generic states.Comment: 7 pages, 1 figur
An Infrared/X-ray Survey for New Members of the Taurus Star-Forming Region
We present the results of a search for new members of the Taurus star-forming
region using data from the Spitzer Space Telescope and the XMM-Newton
Observatory. We have obtained optical and near-infrared spectra of 44 sources
that exhibit red Spitzer colors that are indicative of stars with circumstellar
disks and 51 candidate young stars that were identified by Scelsi and coworkers
using XMM-Newton. We also performed spectroscopy on four possible companions to
members of Taurus that were reported by Kraus and Hillenbrand. Through these
spectra, we have demonstrated the youth and membership of 41 sources, 10 of
which were independently confirmed as young stars by Scelsi and coworkers. Five
of the new Taurus members are likely to be brown dwarfs based on their late
spectral types (>M6). One of the brown dwarfs has a spectral type of L0, making
it the first known L-type member of Taurus and the least massive known member
of the region (M=4-7 M_Jup). Another brown dwarf exhibits a flat infrared
spectral energy distribution, which indicates that it could be in the
protostellar class I stage (star+disk+envelope). Upon inspection of archival
images from various observatories, we find that one of the new young stars has
a large edge-on disk (r=2.5=350 AU). The scattered light from this disk has
undergone significant variability on a time scale of days in optical images
from the Canada-France-Hawaii Telescope. Using the updated census of Taurus, we
have measured the initial mass function for the fields observed by XMM-Newton.
The resulting mass function is similar to previous ones that we have reported
for Taurus, showing a surplus of stars at spectral types of K7-M1 (0.6-0.8
M_sun) relative to other nearby star-forming regions like IC 348, Chamaeleon I,
and the Orion Nebula Cluster
Discovering transcriptional modules by Bayesian data integration
Motivation: We present a method for directly inferring transcriptional modules (TMs) by integrating gene expression and transcription factor binding (ChIP-chip) data. Our model extends a hierarchical Dirichlet process mixture model to allow data fusion on a gene-by-gene basis. This encodes the intuition that co-expression and co-regulation are not necessarily equivalent and hence we do not expect all genes to group similarly in both datasets. In particular, it allows us to identify the subset of genes that share the same structure of transcriptional modules in both datasets.
Results: We find that by working on a gene-by-gene basis, our model is able to extract clusters with greater functional coherence than existing methods. By combining gene expression and transcription factor binding (ChIP-chip) data in this way, we are better able to determine the groups of genes that are most likely to represent underlying TMs
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