<abstract>
<p>Increasing rural income is the common requirement of poverty alleviation and a rural revitalization strategy. As a financial system arrangement, inclusive finance plays an important role in rural income. This paper analyzes the influence of inclusive finance development affecting rural income. Taking 13 regions in Xinjiang as samples, we used a fixed-effects and mediating-effect model to conduct empirical tests. We found that inclusive finance development can significantly promote rural income in Xinjiang. The role of inclusive financial development in the rural income in deep poverty areas is weaker than that in non-deep poverty areas. Meanwhile, with the proposal of the Belt and Road Initiative, the role of inclusive financial development in rural income has been significantly enhanced. Taking the per capita economic output as the mechanism variable, we found that it is a vital channel for inclusive finance to improve rural income.</p>
</abstract>
Alzheimer disease (AD) seriously harms human health and its onset is insidious. Therefore, it is of great significance to find out the pathogenesis of AD disease for improving the prevention and treatment effect of the disease. The study drew attention to the influence of E2F-1/NF-κB/GSK-3β signaling pathway on cognitive dysfunction of Alzheimer rats. 60 specific pathogen-free (SPF) SD rats were selected as research subjects. The, the AD model was created by injecting Aβ1-42 into hippocampus CA1 region of AD rats using a microscopic syringe. Besides, Morris water maze test and Western blot were performed to detect the cognitive function, the levels of destination protein and active oxidation products in the brain of rats. Compared to the Sham group, the escape latency and the distance of the model group significantly increased (
P <
0.05), and the number of times to pass the target quadrant was significantly reduced (
P <
0.05); the expression levels of E2F-1 and NF-κB protein in the hippocampus and the phosphorylation levels of Tau231, Tau262, Tau396, Tau404 and T216-GSK-3β protein of the model group were significantly increased (
P <
0.05); the ROS/RNS value in the hippocampus of the model group significantly increased (
P <
0.05). AD model rats exhibit obvious cognitive dysfunction, which is associated with the activation of E2F-1/NF-κB/GSK-3β signaling pathway and the heightened Tau protein phosphorylation level.
This work aimed to investigate the application of positron emission tomography (PET) molecular imaging based on the deep learning algorithm in the assessment of cognitive dysfunction in patients with epilepsy. In this study, 52 hospitalized patients with epilepsy were selected as the epilepsy group and treated with different kinds of antiepileptic drugs, and 52 volunteers were selected as the control group. A U-net optimized network structure algorithm based on deep learning was proposed in this study and compared with a fully convolutional neural network (FCNN). Besides, it was applied in the PET molecular imaging of patients with epilepsy, and the segmentation effect of the U-net optimized network structure was good. According to event-related potential examinations, the proportion of patients with cognitive dysfunction in the epilepsy group (74.19%) was higher than the proportion of the control group (7.46%) (
P
<
0.05
). The patients with cognitive dysfunction (57.89%) who took one antiepileptic drug were lower than those with two antiepileptic drugs (84.61%) (
P
<
0.05
). The difference was statistically obvious in the overall quality of life of patients with epilepsy (
P
<
0.05
). The occurrence of cognitive dysfunction in patients with epilepsy was related to the type of seizures. In addition, the quality of life of patients who suffered from cognitive dysfunction was low.
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