IntroductionCerebral ischemic stroke CIS has been confirmed to be the third leading cause of death worldwide, the leading cause of disability. Cerebral ischemic stroke is linked with the high incidence of mortality and morbidity 1, 2 . CIS boosted evidence leads to neurological deficits such as impairment of memory and learning. In the same region of the brain, CIS is often caused by blockage or suppression of blood flow, which is induced by vascular reflow after organ transplantation, contraction, precutaneous transluminal coronary angioplasty, etc 1, 3 . Vascular recanalization is often used to restore blood flow, according to clinical reports; however, this reperfusion can cause more brain damage and this procedure is called the injury of ischemia/ reperfusion I/R 4, 5 . I/R injury caused much damage in the
Homocysteine is an amino acid present in plasma, which is an important intermediate product in the metabolism of methionine and cysteine. Acute cerebral infarction (CI) is called acute CI of stroke. It is one of the most common diseases in neurology and has a serious impact, affecting people’s lives. This article is aimed at studying the effect of data mining algorithms based on medical big data and the improved apriori algorithm on the analysis of the correlation between collateral compensation and homocysteine levels in patients with acute CI. This article proposes that there are many factors in patients with acute CI, among which are collateral compensation and homocysteine levels that are not easily determined. From the data in the tables in the experiment of this article, it can be seen that the collateral circulation of patients with acute CI is 8%, and the collateral circulation of patients without acute CI is 35%. The results indicate that both collateral compensation and homocysteine levels affect patients with acute CI. The higher the homocysteine level, the greater the probability of acute CI, and the better the state of collateral circulation, the less likely it is to suffer from acute CI.
Objective: It is very important to study the factors affecting the incidence, progress and prognosis of patients with vascular dementia. Methods: 50 cases of severe middle cerebral artery stenosis or occlusion underwent endovascular treatment (25 cases of mild cognitive dysfunction, 25 cases of moderate cognitive dysfunction) were divided into two groups, where a medical drug treatment group and a control group established with 25 cases in each group. The cognitive function of each group of patients was evaluated before operation, 7 days after operation, 30 days after operation, and 180 days after operation. CTP was used to compare the hemodynamic changes in patients before and after operation. Results: The severe stenosis or occlusion of the middle cerebral artery in patients can be improved, and the intracranial blood supply of patients with poorly compensated medial cranial circulation and hypoperfusion can be restored to a certain extent. Meanwhile, improvement of cognitive function was definitive in some patients with cognitive dysfunction. Conclusion: To guide the formulation of treatment plans for patients with severe middle cerebral artery stenosis or occlusion.
Rubus lambertianus
Ser. var.
paykouangensis
(Levl.) Hand.-Mazz. is great important in the phylogeny and evolution of the genus
Rubus
L. in the family Rosaceae. The chloroplast genome of
R. lambertianus
var.
paykouangensis
reported in this study is 156177 bp in length, and it has an average GC content of 37.18%. The complete chloroplast genome showed a typical quadripartite structure, comprising a small single copy (SSC) region (18,730 bp) and a large single copy (LSC) region (85,883 bp), both of which were separated by a pair of inverted repeats (IRs, 25,782 bp). This plastome was discovered to contain 129 different genes (112 unique), including 85 protein-coding genes (79 unique), 36 tRNA genes (29 unique), and 8 rRNA genes (4 unique). The published chloroplast genome of
R. lambertianus
var.
paykouangensis
will provide a significant insight into elucidating the phylogenetic relationship of taxa within the genus
Rubus
of the family Rosaceae.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.