1,198 research outputs found
Performance of Monolayer Graphene Nanomechanical Resonators with Electrical Readout
The enormous stiffness and low density of graphene make it an ideal material
for nanoelectromechanical (NEMS) applications. We demonstrate fabrication and
electrical readout of monolayer graphene resonators, and test their response to
changes in mass and temperature. The devices show resonances in the MHz range.
The strong dependence of the resonant frequency on applied gate voltage can be
fit to a membrane model, which yields the mass density and built-in strain.
Upon removal and addition of mass, we observe changes in both the density and
the strain, indicating that adsorbates impart tension to the graphene. Upon
cooling, the frequency increases; the shift rate can be used to measure the
unusual negative thermal expansion coefficient of graphene. The quality factor
increases with decreasing temperature, reaching ~10,000 at 5 K. By establishing
many of the basic attributes of monolayer graphene resonators, these studies
lay the groundwork for applications, including high-sensitivity mass detectors
Incremental Transductive Learning Approaches to Schistosomiasis Vector Classification
The key issues pertaining to collection of epidemic disease data for our
analysis purposes are that it is a labour intensive, time consuming and
expensive process resulting in availability of sparse sample data which we use
to develop prediction models. To address this sparse data issue, we present
novel Incremental Transductive methods to circumvent the data collection
process by applying previously acquired data to provide consistent,
confidence-based labelling alternatives to field survey research. We
investigated various reasoning approaches for semisupervised machine learning
including Bayesian models for labelling data. The results show that using the
proposed methods, we can label instances of data with a class of vector density
at a high level of confidence. By applying the Liberal and Strict Training
Approaches, we provide a labelling and classification alternative to standalone
algorithms. The methods in this paper are components in the process of reducing
the proliferation of the Schistosomiasis disease and its effects.Comment: 8 pages, 5 figures, Dragon 4 Symposiu
Data mining and machine learning approaches for prediction modelling of schistosomiasis disease vectors:Epidemic Disease Prediction Modelling
Mitigation mechanism of longitudinal ribs on rain-wind induced vibrations of stay cables
For cable stayed bridges rain-wind induced vibrations of stay cables are probably the most widespread and controversial phenomenon. Aerodynamic countermeasures have been implemented to tackle such vibrations, but there is still not sufficient insight on the inherent mitigation mechanisms. To this goal, a numerical model, based on lubrication theory, was employed in order to study the coupled cable vibration response, aerodynamic forces, and formation and oscillation of rivulets for stay cables equipped with longitudinal ribs. Coupled equations governing the synchronous cable motion and water film evolution were established in order to understand the effects of several key parameters associated with the vibration mitigation performance of the ribs. Such parameters include the cable inclination angle, the wind yaw angle, the number and the height of the ribs. Computed results were successfully validated against experimental data. For the various studied cases, it was apparent that the ribs did not stop the formation of rivulets, but they could affect both their position and oscillation ranges. Through such a control action they could further affect the oscillation range and frequency content of aerodynamic forces, mitigating or not cable vibrations
Rapidity and Centrality Dependence of Proton and Anti-proton Production from Au+Au Collisions at sqrt(sNN) = 130GeV
We report on the rapidity and centrality dependence of proton and anti-proton
transverse mass distributions from Au+Au collisions at sqrt(sNN) = 130GeV as
measured by the STAR experiment at RHIC. Our results are from the rapidity and
transverse momentum range of |y|<0.5 and 0.35 <p_t<1.00GeV/c. For both protons
and anti-protons, transverse mass distributions become more convex from
peripheral to central collisions demonstrating characteristics of collective
expansion. The measured rapidity distributions and the mean transverse momenta
versus rapidity are flat within |y|<0.5. Comparisons of our data with results
from model calculations indicate that in order to obtain a consistent picture
of the proton(anti-proton) yields and transverse mass distributions the
possibility of pre-hadronic collective expansion may have to be taken into
account.Comment: 4 pages, 3 figures, 1 table, submitted to PR
Younger adult type 2 diabetic patients have poorer glycaemic control: A cross-sectional study in a primary care setting in Singapore
10.1186/1472-6823-13-18BMC Endocrine Disorders13-BEDM
Observation of CR Anisotropy with ARGO-YBJ
The measurement of the anisotropies of cosmic ray arrival direction provides
important informations on the propagation mechanisms and on the identification
of their sources. In this paper we report the observation of anisotropy regions
at different angular scales. In particular, the observation of a possible
anisotropy on scales between 10 and 30
suggests the presence of unknown features of the magnetic fields the charged
cosmic rays propagate through, as well as potential contributions of nearby
sources to the total flux of cosmic rays. Evidence of new weaker few-degree
excesses throughout the sky region R.A. is
reported for the first time.Comment: Talk given at 12th TAUP Conference 2011, 5-9 September 2011, Munich,
German
Comparison of serum anti-Mullerian hormone levels following hysterectomy and myomectomy for benign gynaecological conditions.
OBJECTIVE: To compare serum anti-Mullerian hormone (AMH) levels following hysterectomy and myomectomy. STUDY DESIGN: Prospective longitudinal observational study. Serum AMH, follicle stimulating hormone (FSH) and luteinizing hormone (LH) levels were measured pre-operatively (T1) and 2 days (T2) and 3 months (T3) following hysterectomy and myomectomy in 70 women aged 36-45 years. Hysterectomy (laparoscopy-assisted vaginal hysterectomy=10; total abdominal hysterectomy=25) with conservation of both ovaries for benign diseases of the uterus was performed in 35 women, and myomectomy (laparoscopy myomectomy=15; open myomectomy=20) was performed in another 35 women. The follow-up period was 3 months following surgery. The results were analysed using the t-test or one-way analysis of variance by repeated-measures ANOVA. RESULTS: Serum AMH in the hysterectomy group was 1.08+/-0.77 ng/ml at T1, 0.78+/-0.58 ng/ml at T2 and 0.81+/-0.58 ng/ml at T3; the level was significantly lower at T2 and T3 compared with T1. In the myomectomy group, the corresponding values were 1.54+/-0.95 ng/ml, 1.18+/-0.77 ng/ml and 1.50+/-0.58 ng/ml; serum AMH was significantly lower at T2 compared with T1, but the difference between T3 and T1 was not significant. There were no significant differences in serum FSH and LH in either group between these three time points. CONCLUSION: Serum AMH was significantly lower 2 days and 3 months following hysterectomy compared with the pre-operative level. Following myomectomy, serum AMH was significantly lower than the pre-operative level 2 days following the procedure, but was similar to the pre-operative level 3 months after surgery. Therefore, hysterectomy may have a more lasting adverse effect on ovarian reserve than myomectomy. A long-term study of AMH levels is needed.postprin
Microglia activation in a model of retinal degeneration and TUDCA neuroprotective effects
Background: Retinitis pigmentosa is a heterogeneous group of inherited neurodegenerative retinal disorders characterized by a progressive peripheral vision loss and night vision difficulties, subsequently leading to central vision impairment. Chronic microglia activation is associated with various neurodegenerative diseases including retinitis pigmentosa. The objective of this study was to quantify microglia activation in the retina of P23H rats, an animal model of retinitis pigmentosa, and to evaluate the therapeutic effects of TUDCA (tauroursodeoxycholic acid), which has been described as a neuroprotective compound. Methods: For this study, homozygous P23H line 3 and Sprague-Dawley (SD) rats were injected weekly with TUDCA (500 mg/kg, ip) or vehicle (saline) from 20 days to 4 months old. Vertical retinal sections and whole-mount retinas were immunostained for specific markers of microglial cells (anti-CD11b, anti-Iba1 and anti-MHC-II). Microglial cell morphology was analyzed and the number of retinal microglial was quantified. Results: Microglial cells in the SD rat retinas were arranged in regular mosaics homogenously distributed within the plexiform and ganglion cell layers. In the P23H rat retina, microglial cells increased in number in all layers compared with control SD rat retinas, preserving the regular mosaic distribution. In addition, a large number of amoeboid CD11b-positive cells were observed in the P23H rat retina, even in the subretinal space. Retinas of TUDCA-treated P23H animals exhibited lower microglial cell number in all layers and absence of microglial cells in the subretinal space. Conclusions: These results report novel TUDCA anti-inflammatory actions, with potential therapeutic implications for neurodegenerative diseases, including retinitis pigmentosa.This research was supported by grants from the Spanish Ministry of Economy and Competitiveness-FEDER (BFU2012-36845), Instituto de Salud Carlos III (RETICS RD12/0034/0010), Organización Nacional de Ciegos Españoles (ONCE), FUNDALUCE, Asociación Retina Asturias and Fundación Jesús de Gangoiti
Observation of the cosmic ray moon shadowing effect with the ARGO-YBJ experiment
Cosmic rays are hampered by the Moon and a deficit in its direction is expected (the so-called Moon shadow). The Moon shadow is an important tool to determine the performance of an air shower array. Indeed, the westward displacement of the shadow center, due to the bending effect of the geomagnetic field on the propagation of cosmic rays, allows the setting of the absolute rigidity scale of the primary particles inducing the showers recorded by the detector. In addition, the shape of the shadow permits to determine the detector point spread function, while the position of the deficit at high energies allows the evaluation of its absolute pointing accuracy. In this paper we present the observation of the cosmic ray Moon shadowing effect carried out by the ARGO-YBJ experiment in the multi-TeV energy region with high statistical significance (55 standard deviations). By means of an accurate Monte Carlo simulation of the cosmic rays propagation in the Earth-Moon system, we have studied separately the effect of the
geomagnetic field and of the detector point spread function on the observed shadow. The angular resolution as a function of the particle multiplicity and the pointing accuracy have been obtained. The primary energy of detected showers has been estimated by measuring the westward displacement as a function of the particle multiplicity, thus calibrating the relation between shower size and cosmic ray energy. The stability of the detector on a monthly basis has been checked by monitoring the position and the deficit of the Moon shadow. Finally, we have studied with high statistical accuracy the shadowing effect in the ''day/night’’ time looking for possible effect induced by the solar wind
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