Optimização das fugas pela boca durante o CPAP nasal: banda submentoniana versus máscara facial

Introdução: O CPAP nasal é o tratamento de eleição para os pacientes com Síndrome da Apneia Obstrutiva do Sono (SAOS). Com a máscara nasal podem ocorrer fugas de ar pela boca, que podem por em causa a aderência do paciente ao tratamento devido muitas vezes ao desconforto que provocam, ao aumento do trabalho respiratório e por afectarem a qualidade do sono. Objectivos: Este estudo tem como principal objectivo verificar a eficácia da banda submentoniana e da máscara facial na correcção das fugas pela boca em pacientes com SAOS. Métodos e Participantes: Uma amostra de conveniência de 15 pacientes (8 homens) com SAOS e a fazerem CPAP com máscara nasal, foi recrutada. Foram divididos em dois grupos A e B, onde no grupo A se colocou a banda submentoniana e no grupo B se alterou a interface para máscara facial. Medidas e Resultados: As variáveis avaliadas neste estudo foram as fugas, o IAH, o percentil 95 da pressão de tratamento, a Sa,O2 e os efeitos adversos das duas intervenções. O nível de fugas reduziu no grupo A de 38±11,27 para 24,55±14,30L/min (p=0,002) e no grupo B de 34,34±16,50 para 18,51±16,22L/min (p=0,008). O IAH aumentou no grupo B de 2,60±2,13 para 4,41±3,88 (p=0,016). Relativamente ao percentil 95 da pressão de tratamento aumentou nos dois grupos (Grupo A de 10,15±2,63 para 12,08±2,45cmH2O (p=0,008) e no Grupo B 10,51±1,88 para 12,64±1,29cmH2O (p=0,008)). A Sa,O2 mínima aumentou e o tempo<90% diminui no grupo A com p=0,008, p=0,031, respectivamente. Quanto ao uso auto-reportado verificaram-se poucos efeitos adversos, salientando-se apenas a facilidade de colocação da banda submentoniana, a secura da boca nos dois grupos, a pressão no queixo provocada pela banda e a dor no dorso do nariz provocada pela máscara facial. Conclusão: Ambas as estratégias provaram ser mais eficazes a reduzir a fuga que a máscara nasal. Foram bem toleradas e com poucos efeitos adversos.

The roman conquered by delay: reducing the number of preemptions using sleep states

Sleep-states are emerging as a first-class design choice in energy minimization. A side effect of this is that the release behavior of the system is affected and subsequently the preemption relations between tasks. In a first step we have investigated how the behavior in terms of number of preemptions of tasks in the system is changed at runtime, using an existing procrastination approach, which utilizes sleepstates for energy savings purposes. Our solution resulted in substantial savings of preemptions and we expect from even higher yields for alternative energy saving algorithms. This work is intended to form the base of future research, which aims to bound the number of preemptions at analysis time and subsequently how this may be employed in the analysis to reduced the amount of system utilization, which is reserved to account for the preemption delay.

Energy-aware task mapping onto heterogeneous platforms using DVFS and sleep states

Heterogeneous multicore platforms are becoming an interesting alternative for embedded computing systems with limited power supply as they can execute specific tasks in an efficient manner. Nonetheless, one of the main challenges of such platforms consists of optimising the energy consumption in the presence of temporal constraints. This paper addresses the problem of task-to-core allocation onto heterogeneous multicore platforms such that the overall energy consumption of the system is minimised. To this end, we propose a two-phase approach that considers both dynamic and leakage energy consumption: (i) the first phase allocates tasks to the cores such that the dynamic energy consumption is reduced; (ii) the second phase refines the allocation performed in the first phase in order to achieve better sleep states by trading off the dynamic energy consumption with the reduction in leakage energy consumption. This hybrid approach considers core frequency set-points, tasks energy consumption and sleep states of the cores to reduce the energy consumption of the system. Major value has been placed on a realistic power model which increases the practical relevance of the proposed approach. Finally, extensive simulations have been carried out to demonstrate the effectiveness of the proposed algorithm. In the best-case, savings up to 18% of energy are reached over the first fit algorithm, which has shown, in previous works, to perform better than other bin-packing heuristics for the target heterogeneous multicore platform.

Detrimental role of prolonged sleep deprivation on adult neurogenesis

Adult mammalian brains continuously generate new neurons, a phenomenon called adult neurogenesis. Both environmental stimuli and endogenous factors are important regulators of adult neurogenesis. Sleep has an important role in normal brain physiology and its disturbance causes very stressful conditions, which disrupt normal brain physiology. Recently, an influence of sleep in adult neurogenesis has been established, mainly based on sleep deprivation studies. This review provides an overview on how rhythms and sleep cycles regulate hippocampal and subventricular zone neurogenesis, discussing some potential underlying mechanisms. In addition, our review highlights some interacting points between sleep and adult neurogenesis in brain function, such as learning, memory, and mood states, and provides some insights on the effects of antidepressants and hypnotic drugs on adult neurogenesis.