3,042 research outputs found
Predicting the epidemic threshold of the susceptible-infected-recovered model
Researchers have developed several theoretical methods for predicting
epidemic thresholds, including the mean-field like (MFL) method, the quenched
mean-field (QMF) method, and the dynamical message passing (DMP) method. When
these methods are applied to predict epidemic threshold they often produce
differing results and their relative levels of accuracy are still unknown. We
systematically analyze these two issues---relationships among differing results
and levels of accuracy---by studying the susceptible-infected-recovered (SIR)
model on uncorrelated configuration networks and a group of 56 real-world
networks. In uncorrelated configuration networks the MFL and DMP methods yield
identical predictions that are larger and more accurate than the prediction
generated by the QMF method. When compared to the 56 real-world networks, the
epidemic threshold obtained by the DMP method is closer to the actual epidemic
threshold because it incorporates full network topology information and some
dynamical correlations. We find that in some scenarios---such as networks with
positive degree-degree correlations, with an eigenvector localized on the high
-core nodes, or with a high level of clustering---the epidemic threshold
predicted by the MFL method, which uses the degree distribution as the only
input parameter, performs better than the other two methods. We also find that
the performances of the three predictions are irregular versus modularity
Evolution of pairing from weak to strong coupling on a honeycomb lattice
We study the evolution of the pairing from weak to strong coupling on a
honeycomb lattice by Quantum Monte Carlo. We show numerical evidence of the
BCS-BEC crossover as the coupling strength increases on a honeycomb lattice
with small fermi surface by measuring a wide range of observables: double
occupancy, spin susceptibility, local pair correlation, and kinetic energy.
Although at low energy, the model sustains Dirac fermions, we do not find
significant qualitative difference in the BCS-BEC crossover as compared to
those with an extended Fermi surface, except at weak coupling, BCS regime.Comment: 5 page
Treatment of Post Traumatic Internal Carotid Artery Pseudo Aneurysm with Intravascular Coil Embolization
Introduction: Vascular complications such as bleeding and pseudoaneurysm following an endoscopic trans-sphenoidal approach for the basal skull pathology are rare but when it occurs it brings a significant risk of morbidity and mortality along with it. Intraoperative bleeding can be managed with manual packing and in case of pseudoaneurysm formation, it can be successfully managed with endovascular coiling.Case presentation: One month after an endoscopic sphenoidal resection of mucocele. A 49-year-old female presented with massive left sided epistaxis due to formation and rupture of pseudoaneurysm at left cavernous segment of internal carotid artery. She was managed with multiple coil embolization of pseudoaneurysm.Conclusion: A patient with pseudoaneurysm formation following an endoscopic trans-sphenoidal approach for a mucocele resection was successfully managed by the emergency endovascular coiling, with complete obliteration of the aneurysm and bleeding while maintaining the vessel patency. This approach is less invasive, quick as well as safe and do not require long term anticoagulation. However, long term follow and larger sample are required to evaluate its efficacy
Pharmacokinetics and safety of repirinast tablets in healthy Chinese subjects
Repirinast is a new, synthetic, disodium cromoglycate-like antiallergic agent for oral administration in humans. This study evaluated the safety, tolerability and pharmacokinetics of repirinast tablets in healthy Chinese volunteers. This was a phase I, open-label, randomized, single- and multiple-dose study. Subjects were assigned to receive a single dose of repirinast tablet at either 150, 300, or 450 mg, or multiple doses of 150 mg twice daily for 5 days. Plasma samples were analyzed with LC-MS/MS. Pharmacokinetic parameters of active metabolite MY-1250 (deesterified repirinast) were calculated using non-compartmental analysis with WinNonlin software. Statistical analysis was performed using SPSS software. All adverse events (AEs) were mild and of limited duration. No serious adverse event (SAE), death or withdrawal from the study was observed. In the single-dose study, Cmax was reached at about 0.75 hour, and the mean t1/2 was approximately 16.21 hours. Area under curve (AUC) and Cmax increased with dose escalation, but dose proportionality was not observed over the range of 150 to 450 mg. In the multiple-dose study, the steady-state was reached within 3 days with no accumulation. Repirinast tablet was well tolerated in healthy Chinese subjects
Recommended from our members
Estimation of monthly pan evaporation using support vector machine in Three Gorges Reservoir Area, China
Pan evaporation plays a critical role in estimating water budget and modeling crop water requirements. However, it has been measured at a very limited number of meteorological stations. Estimation of pan evaporation from measured meteorological variables offers an important alternative and drawn increasing attention in the recent years. This paper investigated the performance of support vector machine (SVM) in the estimation of monthly pan evaporation using commonly measured meteorological variables in Three Gorges Reservoir Area in China. Evaluation suggested that SVM models showed remarkable performances and significantly outperformed the empirical model. The SVM model with polynomial as kernel function outperformed that with radial basis function. In the case of unavailable measurements of pan evaporation and meteorological variables to construct the SVM model, pan evaporation can be well-estimated by SVM model developed using data at other sites. The results indicated that the SVM method would be a promising alternative over the traditional approaches for estimating pan evaporation from measured meteorological variables
- …