Neurocognitive Dysfunctions in Iron Deficiency Patients

In this chapter, the authors described the actuality of the investigations of neurocognitive dysfunctions in patients with iron deficiency. In infants, the incidence of iron deficiency is 73%; the probability of its transition to iron deficiency anemia is very high. The development of myelin at an early age reduces the production of myelin, and the formation of g-aminobutyric acid worsens the metabolism of dopamine in the striatal brain, which leads to slowing of motor function and behavioral problems in the child. Children with iron deficiency conditions are prone to developmental delays, reduced school performance, and behavioral disorders. In older adults, cognitive dysfunctions depend on complications of the vascular nature, complicated by comorbid iron deficiency. Concomitant pathology also influences iron homeostasis. The regulating mechanisms of iron deficiency, as the same cognitive deficiency, despite the age involve more than 200 proteins from iron homeostasis, appropriate cofactors: derivatives of vitamin B, copper, manganese, zinc ions, enzymes, cell growth factors, etc. All these partners could influence separately or together to the development of iron deficiency and a complication of it neurocognitive dysfunctions. The combination of iron deficiency anemia and iron deficiency with comorbid pathology often exacerbates cognitive problems and requires a weighted approach to the choice of therapeutic correction tactics

BMAP/G/c Queueing Model with Group Clearance Useful in Telecommunications Systems – A Simulation Approach

Queueing models in which customers or messages arrive in batches with inter-arrival times of batches possibly correlated and services rendered in batches of varying sizes play an important role in telecommunication systems. Recently queueing models of BMAP/G/1-type in which a new type of group clearance was studied using embedded Markov renewal process as well as continuous time Markov chain whose generator has a very special structure. In this paper, we generalize these models to multi-server systems through simulation approach. After validating the simulation model for the single server case, we report our simulated results for much more general situations

Efficient Redundancy Techniques in Cloud and Desktop Grid Systems using MAP/G/c-type Queues

Cloud computing is continuing to prove its flexibility and versatility in helping industries and businesses as well as academia as a way of providing needed computing capacity. As an important alternative to cloud computing, desktop grids allow to utilize the idle computer resources of an enterprise/community by means of distributed computing system, providing a more secure and controllable environment with lower operational expenses. Further, both cloud computing and desktop grids are meant to optimize limited resources and at the same time to decrease the expected latency for users. The crucial parameter for optimization both in cloud computing and in desktop grids is the level of redundancy (replication) for service requests/workunits. In this paper we study the optimal replication policies by considering three variations of Fork-Join systems in the context of a multi-server queueing system with a versatile point process for the arrivals. For services we consider phase type distributions as well as shifted exponential and Weibull. We use both analytical and simulation approach in our analysis and report some interesting qualitative results

Low-Frequency Noise in Low-Dimensional van der Waals Materials

The emergence of graphene and two-dimensional van der Walls materials renewed interest to investigation of the low-frequency noise in the low-dimensional systems. The layered van der Waals materials offers unique opportunities for studying the low-frequency noise owing to the properties controlled by the thickness of these materials, and tunable carrier concentration. In this review, we describe unusual low-frequency noise phenomena in quasi-2D and quasi-1D van der Waals materials. We also demonstrate that the low-frequency noise spectroscopy is a powerful tool for investigation of the electron transport and charge-density-wave phase transitions in this class of materials.Comment: 5 pages, 5 figure