Objective: Alzheimer's disease is a neurodegenerative disorder characterized by accumulation of amyloid beta in the hippocampus. In recent decades, herbal medicine has been widely used to treat many neurodegenerative disorders,as in comparison to conventional drugs, herbal remedies exert minimal side effects. Here, the effects of thymoquinone, as the main active component of Nigella sativa, on ...

The article provides a measurement methodology based on the related RFCs. It brings a solution of determining the switching latency on the physical layer using common measuring devices. As a proof of concept were done a number of the experimental measurements, including analysis of the results. Switching latency is an important performance parameter which participates in the decision-making whe...

  Abstract   Introduction: Diabetes mellitus accompanies with disturbances in learning, memory, and cognitive skills in the human society and experimental animals. Considering the beneficial antidiabetic potential of Apium graveolens (AG ), this research study was conducted to evaluate the effect of chronic i.p. administration of AG on learning and memory in diabetic rats using passive avoidanc...

Objective(s):Parkinson's disease (PD) is known for motor impairments. But often, there are non-motor symptoms such as cognitive deficiency and pain misperception, owing to possible role of nigrostriatal pathway. Antioxidants have protective effect on free radical-induced neuronal damage in PD. To further address, we examined the effects of ellagic acid (EA) in a rat model of PD induced by 6-hyd...

Background & Aims: Diabetes mellitus is a chronic metabolic disorder that in the long-term is accompanied with deficits in learning, memory, and cognitive skills. Due to the existing evidence regarding the anti-diabetic potential of acetyl-L-carnitine (ALC), the effect of its long-term administration on learning and spatial memory deficits was investigated in diabetic rats. Methods: In this exp...

Real-time simultaneous translation is a demanding task. The translator must translate partial sentences before knowing how the sentence will end. Computational approaches to do this difficult, important task are limited because we lack a quantitative understanding of the tactics simultaneous translators use. We study characteristics of interpreted text and translated text through an automatic, ...