نتایج جستجو برای: dark neuron
تعداد نتایج: 140451 فیلتر نتایج به سال:
In this paper, a state-of-the-art neuron mathematical model of neural tensor network (NTN) is proposed to RDF knowledge base completion problem. One of the difficulties with the parameter of the network is that representation of its neuron mathematical model is not possible. For this reason, a new representation of this network is suggested that solves this difficulty. In the representation, th...
Background and Objective: Differentiation of mesenchymal stem cells into neurons has great potential in the therapy of damaged nerve tissue. Neural tissue engineering offers tremendous promise to combat the effects of disease, aging and injury in the nervous system. The aim of this study was to investigate the differentiation of adipose derived stem cells to neuron like cells on aligned nanofib...
Introduction: Chronic hyperglycemia is associated with an increase in cellular damage due to oxidative stress in pancreatic tissue. The effect of exercise in different phases of the circadian cycle on protecting pancreatic tissue from oxidative stress in diabetic patients is unknown. The aim of this study was to investigate the effect of eight weeks of endurance training in light and dark phase...
Objective(s): The present study was designed to evaluate of Metformin/Irinotecan-loaded poly-lactic-co-glycolic acid (PLGA) nanoparticles (NPs) effects on glutamate re-uptake time and receptor expression status in both glioblastoma multiforme (GBM) and cortex neuron cultures. The study was performed on glioblastoma cell line and primer cortex neuron.Materials and Methods: The re-uptake time and...
The purpose of this study is examination the relationship between locus of control, dark character and marital violence. The study is descriptive and correlational as well as structural equation modeling, which investigate the relationship between exogenous and endogenous latent structures in model. Population of this study included all divorced men and women over the last six months (second ha...
چکیده ندارد.
Quantized neural networks (QNNs) are widely used to achieve computationally efficient solutions recognition problems. Overall, eight-bit QNNs have almost the same accuracy as full-precision networks, but working several times faster. However, with lower quantization levels demonstrate inferior in comparison their classical analogs. To solve this issue, a number of quantization-aware training (Q...
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