Publications by authors named "Khachik Sargsyan"

Introduction: Anthrax is a World Organisation for Animal Health (WOAH)-listed disease that must be reported upon confirmation based on the Terrestrial Animal Health Code. Anthrax poses a serious health issue for unvaccinated livestock, is a threat to humans through interaction with contaminated livestock and animal products and is endemic in many areas throughout the world, including the Transcaucasian Region. Despite several control and eradication efforts that have been implemented by the government of the Republic of Armenia (RA), sporadic cases of anthrax are still reported.

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Article Synopsis
  • A new method is introduced for calculating anharmonic partition functions for adsorbates on catalytic surfaces, showing improved efficiency over traditional Monte Carlo techniques.
  • The study uses CH* on a Ni(111) surface as a test case, revealing that the methyl group's motion is anharmonic and exhibits greater entropy than predicted by a harmonic oscillator model.
  • This innovative approach can be accessed for free through the Minima-Preserving Neural Network feature in the ADTHERM software package.
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The transmission of lumpy skin disease (LSD) occurs through ticks, mosquitoes, and flies. The most effective way to combat LSD is to conduct large-scale vaccination, covering the entire cattle population with safe and effective vaccines, while introducing restrictions on the movement of livestock. The first and only LSD cases that occurred in Armenia happened in 2015,and they were controlled with the use of a once yearly heterologous sheep pox vaccine for cattle in high-risk areas.

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Article Synopsis
  • Foot-and-mouth disease (FMD) is a serious viral infection affecting livestock, and vaccination is critical for controlling its spread in Armenia, especially since it borders countries where FMD is common.
  • A study in three regions of Armenia assessed the immune response of cattle and sheep to a polyvalent vaccine over time, finding that over 90% of vaccinated animals had protective immunity shortly after vaccination, but this declined significantly by 90 days.
  • The findings indicate that while initial vaccination offers strong protection, re-vaccination is necessary to maintain adequate immunity levels in both cattle and sheep, highlighting the need for ongoing vaccination strategies to control FMD in Armenia.
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Many important industrial processes rely on heterogeneous catalytic systems. However, given all possible catalysts and conditions of interest, it is impractical to optimize most systems experimentally. Automatically generated microkinetic models can be used to efficiently consider many catalysts and conditions.

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Lumpy skin disease (LSD) is a highly infectious viral disease of cattle caused by LSD virus (LSDV), which was first reported in Armenia in late 2015. It was identified in pasture-raised cattle near the border with Iran. Currently, vaccination plays a key role in preventing further incursion of disease in high-risk areas.

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We present a new algorithm for the optimization of molecular structures to saddle points on the potential energy surface using a redundant internal coordinate system. This algorithm automates the procedure of defining the internal coordinate system, including the handling of linear bending angles, for example, through the addition of dummy atoms. Additionally, the algorithm supports constrained optimization using the null-space sequential quadratic programming formalism.

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Automatic mechanism generation is used to determine mechanisms for the CO hydrogenation on Ni(111) in a two-stage process while considering the correlated uncertainty in DFT-based energetic parameters systematically. In a coarse stage, all the possible chemistry is explored with gas-phase products down to the ppb level, while a refined stage discovers the core methanation submechanism. Five thousand unique mechanisms were generated, which contain minor perturbations in all parameters.

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We present a new geodesic-based method for geometry optimization in a basis set of redundant internal coordinates. Our method updates the molecular geometry by following the geodesic generated by a displacement vector on the internal coordinate manifold, which dramatically reduces the number of steps required to converge to a minimum. Our method can be implemented in any existing optimization code, requiring only implementation of derivatives of the Wilson B-matrix and the ability to numerically solve an ordinary differential equation.

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  • A Bayesian method is introduced for real-time analysis and forecasting of COVID-19, utilizing daily counts of symptomatic cases to estimate infection spread parameters.
  • This approach helps optimize the allocation of medical resources during the initial phase of the outbreak and utilizes Markov chain Monte Carlo techniques for inference.
  • The model, applied to data prior to the second wave in July 2020, showed accurate regional forecasts and was able to track the impact of public health measures in California and differing disease dynamics in New Mexico.
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Identification and refinement of first order saddle point (FOSP) structures on the potential energy surface (PES) of chemical systems is a computational bottleneck in the characterization of reaction pathways. Leading FOSP refinement strategies for modestly sized molecular systems require calculation of the full Hessian matrix, which is not feasible for larger systems such as those encountered in heterogeneous catalysis. For these systems, the standard approach to FOSP refinement involves iterative diagonalization of the Hessian, but this comes at the cost of longer refinement trajectories due to the lack of accurate curvature information.

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In this work, the problem of representing a stochastic forward model output with respect to a large number of input parameters is considered. The methodology is applied to a stochastic reaction network of competence dynamics in Bacillus subtilis bacterium. In particular, the dependence of the competence state on rate constants of underlying reactions is investigated.

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Background: African swine fever virus (ASFV) is the causative agent of African swine fever (ASF) that is the significant disease of domestic pigs. Several studies showed that ASFV can influence on porcine blood cells in vitro. Thus, we asked ourselves whether ASFV infection results in changes in porcine blood cells in vivo.

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The canonical nuclear factor-κB (NF-κB) signaling pathway controls a gene network important in the cellular inflammatory response. Upon activation, NF-κB/RelA is released from cytoplasmic inhibitors, from where it translocates into the nucleus, subsequently activating negative feedback loops producing either monophasic or damped oscillatory nucleo-cytoplasmic dynamics. Although the population behavior of the NF-κB pathway has been extensively modeled, the sources of cell-to-cell variability are not well understood.

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