Development and Validation of PCR Diagnostic Assays for Detection of and .

PCR is the most effective method for detecting difficult-to-cultivate pathogens and pathogens that are part of mixed infections in animals, such as , which causes bird ornithobacteriosis, or , which causes infectious coryza. In this work, we developed and validated two efficient and sensitive diagnostic assays for the rapid and accurate detection of and DNA in bacterial isolates and clinical samples using real-time PCR with TaqMan-like probes. When designing the PCR assays, we performed in silico analysis, optimized DNA isolation methods and PCR conditions, and assessed the analytical and diagnostic performance of PCR.

Neurodynamic approaches for multi-agent distributed optimization.

This paper considers a class of multi-agent distributed convex optimization with a common set of constraints and provides several continuous-time neurodynamic approaches. In problem transformation, l and l penalty methods are used respectively to cast the linear consensus constraint into the objective function, which avoids introducing auxiliary variables and only involves information exchange among primal variables in the process of solving the problem. For nonsmooth cost functions, two differential inclusions with projection operator are proposed.

Approximating Nash equilibrium for anti-UAV jamming Markov game using a novel event-triggered multi-agent reinforcement learning.

In the downlink communication, it is currently challenging for ground users to cope with the uncertain interference from aerial intelligent jammers. The cooperation and competition between ground users and unmanned aerial vehicle (UAV) jammers leads to a Markov game problem of anti-UAV jamming. Therefore, a model-free method is adopted based on multi-agent reinforcement learning (MARL) to handle the Markov game.

[Oxytocin genetic pathway (CD38) and SDQ psychosocial characteristics in adolescent schoolchildren].

Objective: To determine an effect of CD38 on the regulation of oxytocin (OT) production and to identify psychosocial characteristics according to the Strength and Difficulties Questionnaire (SDQ) in adolescent schoolchildren.

Material And Methods: The study included 308 adolescents, aged 11-18 years, of an unbiased school sample from three large cities of Central Siberia (Krasnoyarsk, =194; Abakan, =76; Kyzyl, =38). All participants were Russian.

Multi-agent based optimal equilibrium selection with resilience constraints for traffic flow.

Traffic guidance and traffic control are effective means to alleviate traffic problems. Formulating effective traffic guidance measures can improve the utilization rate of road resources and optimize the performance of the entire traffic network. Assuming that the traffic coordinator can capture traffic flow information in real-time utilizing sensors installed on each road, we consider the strong resilience constraints to construct an optimal selection problem of balanced flow in the traffic network.