IEEE Trans Neural Netw Learn Syst
November 2024
Although current time-series forecasting methods have significantly improved the state-of-the-art (SOTA) results for long-sequence time-series forecasting (LSTF), they still have difficulty in capturing and extracting the features and dependencies of long-term sequences and suffer from information utilization bottlenecks and high-computational complexity. To address these issues, a lightweight single-hidden layer feedforward neural network (SLFN) combining convolution mapping and time-frequency decomposition called CTFNet is proposed with three distinctive characteristics. First, time-domain (TD) feature mining-in this article, a method for extracting the long-term correlation of horizontal TD features based on matrix factorization is proposed, which can effectively capture the interdependence among different sample points of a long time series.
View Article and Find Full Text PDFMicroRNAs (miRNAs) and transfer RNA-derived small RNAs (tsRNAs) play critical roles in the regulation of different biological processes, but their underlying mechanisms in diabetes mellitus (DM) are still largely unknown. This study aimed to gain a better understanding of the functions of miRNAs and tsRNAs in the pathogenesis of DM. A high-fat diet (HFD) and streptozocin (STZ)-induced DM rat model was established.
View Article and Find Full Text PDFBackground: General practitioners are well positioned to contribute to the pharmacovigilance of medical cannabis via the general practice electronic medical record (EMR). The aim of this research is to interrogate de-identified patient data from the Patron primary care data repository for reports of medicinal cannabis to ascertain the feasibility of using EMRs to monitor medicinal cannabis prescribing in Australia.
Methods: EMR rule-based digital phenotyping of 1 164 846 active patients from 109 practices was undertaken to investigate reports of medicinal cannabis use from September 2017 to September 2020.
There has been a significant amount of research on correlates of bullying victimization, but most prior studies are descriptive and do not distinguish between different types of bullying. The current study used a case-control study design to explore factors related to different types of bullying victimization, including physical, relational, verbal, sexual, property, and poly-bullying victimization. This study was conducted in a southern city in China, including 3054 cases who self-reported being victims of school bullying and 3054 controls who reported not being involved in any school bullying in the past 12 months.
View Article and Find Full Text PDFWith the development of information technology, it has become a popular topic to share data from multiple sources without privacy disclosure problems. Privacy-preserving record linkage (PPRL) can link the data that truly matches and does not disclose personal information. In the existing studies, the techniques of PPRL have mostly been studied based on the alphabetic language, which is much different from the Chinese language environment.
View Article and Find Full Text PDFLegal intervention is a powerful tool to reduce road traffic injuries (RTIs). China amended the Road Traffic Safety Law in 2011, but the impact of amended law on traffic crash deaths is still unknown. In this study, we conducted an interrupted time series analysis and examined years of life lost (YLLs) per 100,000 population as the assessment indicator to evaluate the association of road traffic safety law and traffic crash mortality.
View Article and Find Full Text PDFThis research aimed to identify risk factors including individual characteristics and environment circumstances related to different types of school bullying (physical, relational, verbal, sexual, and possession bullying) among middle school students in China. Cases were the respondents reporting perpetrating bullying behaviors three or more times in the past year. One control was selected for each case from those participants who were not involved in school bullying in the past 12 months.
View Article and Find Full Text PDFIn 2011, a more severe drunk driving law was implemented in China, which criminalized driving under the influence of alcohol for the first time and increased penalties for drunk driving. The present study aimed to assess effectiveness of the drunk driving law in China in reducing traffic crashes, injuries, and mortality. Data used in this study was obtained from the Traffic Management Bureau of the Ministry of Public Security of the People's Republic of China.
View Article and Find Full Text PDFThis study was conducted to estimate road traffic deaths and to forecast short-term road traffic deaths in China using the Elman recurrent neural network (ERNN) model. An ERNN model was developed using reported police data of road traffic deaths in China from 2000 to 2017. Different numbers of neurons of the hidden layer were tested and different combinations of subgroup datasets have been used to develop the optimal ERNN model after normalization.
View Article and Find Full Text PDFTraffic Inj Prev
December 2020
The present case-control study sought to explore at-risk riding behaviors associated with e-bike related traffic crashes among e-bike riders in China. Cases were recruited from residents aged 16 years and over in communities which stated "selected e-bikes as travel tools and experienced traffic crashes in the last year". Two controls for each case were randomly selected from a population of e-bike riders who had not experienced a traffic crash in the past year.
View Article and Find Full Text PDFVarious studies demonstrate that CD137 (TNFRSF9, 4-1BB) promotes atherosclerosis and vascular inflammation in experimental models via interactions with the CD137 ligand (CD137L). However, the exact role of CD137 in ischemic stroke remains unclear. In this study, we analyzed dynamic changes of peripheral CD137 expression on T cells in a mouse model of cerebral ischemia-middle cerebral artery occlusion (MCAO), as well as alternation of neurological function, infarct size and cerebral inflammatory status after inhibition of the CD137/CD137L pathway using an anti-CD137L monoclonal antibody.
View Article and Find Full Text PDFThe persistence of cholesterol-engorged macrophages (foam cells) in the artery wall fuels the development of atherosclerosis. However, the mechanism that regulates the formation of macrophage foam cells and impedes their emigration out of inflamed plaques is still elusive. Here, we report that adhesion receptor CD146 controls the formation of macrophage foam cells and their retention within the plaque during atherosclerosis exacerbation.
View Article and Find Full Text PDFZhonghua Yi Xue Za Zhi
November 2014
Objective: To explore the relationship between circulating level of soluble CD146 (sCD146) and plaque vulnerability or inflammatory factors in patients with carotid atherosclerosis (CAS).
Methods: Forty CAS patients with carotid stenosis ( ≥ 70%) were enrolled and divided into 2 groups of stable and unstable plaque by ultrasonic imaging. And another 40 healthy subjects were enrolled for control group.
Zhonghua Nei Ke Za Zhi
August 2014
Objective: To investigate the correlation between the expression of adhesion molecule CD146 and the vulnerability of carotid atherosclerotic plaque.
Methods: The plaque samples were collected from 40 patients who underwent the carotid endarterectomy and were divided into the stable plaque group and the instable plaque group by ultrasound imaging. Five carotid artery samples were taken from the healthy donors as the control.
Aims: Intraplaque neovascularization and foam cell infiltration contribute to the development of unstable plaque, leading to thromboembolism and stroke. Cell adhesion molecules (CAMs) have been reported to be involved in the progression of atherosclerosis and plaque vulnerability. The aim of this study was to assess the association of adhesion molecule CD146 with carotid plaque instability.
View Article and Find Full Text PDFEur J Med Res
December 2013
Background: To study the efficacy and safety of cilostazol on ischemic stroke prevention and treatment, systematic reviews of related clinical randomized controlled trials were analyzed.
Methods: We searched the main databases for eligible trials including literature from January 1966 to November 2012 in MEDLINE, reports from 1980 to November 2012 in EMBASE, and all the studies published in EBSCO, Springer, Ovid, and Cochrane library citations. We also searched for keywords, including cilostazol and aspirin.
Background: Intracranial atherosclerotic stenosis (ICAS) is an important cause of ischemic stroke worldwide. The role of high-density lipoprotein cholesterol (HDL-C) or low-density lipoprotein cholesterol (LDL-C) in the development of ICAS remains to be elucidated. In the current study, we investigated the relationship of HDL-C level and the risk of developing ICAS in Chinese patients with acute ischemic stroke.
View Article and Find Full Text PDFZhonghua Yi Xue Za Zhi
June 2005
Objective: To investigate the effects of different factors associated with open heart surgery under cardiopulmonary bypass (CPB) on neurocognitive function.
Methods: The cognitive capacity of 50 patients undergoing open heart surgery under CPB were studied on the day before operation and the 14th day postoperatively with Basic Cognitive Capacity Test battery, including 7 subtest: Digit Discrimination, Mental Arithmetic, Chinese Character Rotation, Digit Working Memory, Dual-word recognition, Tri-digit Recognition, and Meaningless Figure Recognition. The correlation between the postoperative cognitive decline and the factors associated with CPB was analyzed.