In this paper, an artificial intelligence segmented dynamic video image based on the process of intensive cardiovascular and cerebrovascular disease monitoring is deeply investigated, and a sparse automatic coding deep neural network with a four layers stack structure is designed to automatically extract the deep features of the segmented dynamic video image shot, and six categories of normal, atrial premature, ventricular premature, right bundle branch block, left bundle branch block, and pacing are achieved through hierarchical training and optimization. Accurate recognition of heartbeats with an average accuracy of 99.5%. It provides technical assistance for the intelligent prediction of high-risk cardiovascular diseases like ventricular fibrillation. An intelligent prediction algorithm for sudden cardiac death based on the echolocation network was proposed. By designing an echolocation network with a multilayer serial structure, an intelligent distinction between sudden cardiac death signal and non-sudden death signal was realized, and the signal was predicted 5 min before sudden death occurred, with an average prediction accuracy of 94.32%. Using the self-learning capability of stack sparse auto-coding network, a large amount of label-free data is designed to train the stack sparse auto-coding deep neural network to automatically extract deep representations of plaque features. A small amount of labeled data then introduced to micro-train the entire network. learn more Through the automatic analysis of the fiber cap thickness in the plaques, the automatic identification of thin fiber cap-like vulnerable plaques was achieved, and the average overlap of vulnerable regions reached 87%. The overall time for the automatic plaque and vulnerable plaque recognition algorithm was 0.54 s. It provides theoretical support for accurate diagnosis and endogenous analysis of high-risk cardiovascular diseases.Sleep-wake disruptions are among the most prevalent and burdensome non-motor symptoms of Parkinson's disease (PD). Clinical studies have demonstrated that these disturbances can precede the onset of typical motor symptoms by years, indicating that they may play a primary function in the pathogenesis of PD. Animal studies suggest that sleep facilitates the removal of metabolic wastes through the glymphatic system via convective flow from the periarterial space to the perivenous space, upregulates antioxidative defenses, and promotes the maintenance of neuronal protein homeostasis. Therefore, disruptions to the sleep-wake cycle have been associated with inefficient metabolic clearance and increased oxidative stress in the central nervous system (CNS). This leads to excessive accumulation of alpha-synuclein and the induction of neuronal loss, both of which have been proposed to be contributing factors to the pathogenesis and progression of PD. Additionally, recent studies have suggested that PD-related pathophysiological alterations during the prodromal phase disrupt sleep and circadian rhythms. Taken together, these findings indicate potential mechanistic interactions between sleep-wake disorders and PD progression as proposed in this review. Further research into the hypothetical mechanisms underlying these interactions would be valuable, as positive findings may provide promising insights into novel therapeutic interventions for PD.
The Chinese government has instituted a number of policies to actively promote the diffusion of new energy vehicles (NEVs). There is widespread consensus that policy mixes can drive NEV diffusion effectively. To verify this consensus, we construct a two-dimensional framework of NEV policy instruments producer-orientation versus consumer-orientation instruments, economic in cash versus regulatory instruments and classify NEV policy mixes. Then, we analyse the impact of policy mixes on NEV diffusion among enterprises and consumers by building an evolutionary game model. And according to the concept of stable area in the evolutionary game, we propose a definition of policy effect. The results show (1) Policy mixes can reduce the saddle point of the auto market game and accelerate the spread of NEVs. In the early stages of the NEV industry, the government should take the policy mix strategy with four policies, and economic in cash instrument should be the main policy. (2) Policy mixes composed of producer-orientation and consumer-orientation instruments have a synergy or complementarity to promote NEV diffusion effectively. (3) With the increasing rate of NEV production and consumption, the government should adopt policy mixes mainly composed of regulatory instrumentsand rather than economic instruments.
The health hotline (12320) of Shanghai, not only offers residents information about health knowledge, policies and regulations, but also serves as a channel for public supervision on health issues. This study explored the content of calls towards the Shanghai health hotline (SHH) related to e-cigarettes.
The call sheets related to e-cigarette received by SHH were collected from 2014 to 2019. Voice conversations were recorded by the management system of SHH and the telephone operators then converted the recordings into text to collect the information of residents. We used a natural language processor, ROST-CM6.0 to clean up and create words dictionaries and analyzed the text using a text-mining method to identify themes and other useful details.
Among the 491 call sheets, 87.4% were for consultation and 7.5% for complaint. The issue that Shanghai citizens were concerned about most was 'whether the e-cigarette belongs to the jurisdictional scope of
', and 76.6% of the call sheets were related to this particular concern. Other concerns were 'whether e-cigarettes are harmful or not' (9.4%), 'can e-cigarettes help people quit smoking or have side effects' (6.1%), 'whether e-cigarettes can be sold openly in shopping malls and where can we buy e-cigarettes' (2.2%) and 'can minors buy e-cigarettes' (1.0%).
The number of call sheets about e-cigarettes received by SHH has seen a significant increase since
was implemented with questions primarily focused on 'if electronic cigarettes belong to the scope of tobacco control'.
The number of call sheets about e-cigarettes received by SHH has seen a significant increase since the Amendment was implemented with questions primarily focused on 'if electronic cigarettes belong to the scope of tobacco control'.learn more