Cordycepin improved the cognitive function through regulating adenosine A receptors in MPTP induced Parkinson's disease mice model.

Background: Parkinson's disease (PD), the most common neurodegenerative disorder, primarily affects dopaminergic neurons in the substantia nigra (SN). In addition to severe motor dysfunction, PD patients appear apparent cognitive impairments in the late stage. Cognitive dysfunction is accompanied by synaptic transmission damage in the hippocampus.

Ischemia in intracerebral hemorrhage: A comparative study of small-vessel and large-vessel diseases.

Objective: This study aimed to compare effects of cerebral small-vessel disease (cSVD) burden and cerebral artery stenosis (CAS) on acute ischemia in intracerebral hemorrhage (ICH) and their interaction with mean arterial pressure (MAP) change.

Methods: We recruited consecutive patients with acute primary ICH. Brain magnetic resonance imaging and angiography were performed to quantify diffusion-weighted imaging (DWI) lesions, CAS, and cSVD markers, which were calculated for the total cSVD score.

Cordycepin Ameliorates Synaptic Dysfunction and Dendrite Morphology Damage of Hippocampal CA1 A1R in Cerebral Ischemia.

Cordycepin exerted significant neuroprotective effects and protected against cerebral ischemic damage. Learning and memory impairments after cerebral ischemia are common. Cordycepin has been proved to improve memory impairments induced by cerebral ischemia, but its underlying mechanism has not been revealed yet.

Genipin attenuates dextran sulfate sodium-induced colitis via suppressing inflammatory and oxidative responses.

Genipin is one of the major component in Gardenis fruit, which has long been used in the treatment of many chronic diseases, such as colitis. In the present study, we investigated the protective effects and mechanism of genipin on dextran sodium sulfate (DSS)-induced colitis in mice. Colitis was induced by giving 2.

Constructing an Associative Memory System Using Spiking Neural Network.

Development of computer science has led to the blooming of artificial intelligence (AI), and neural networks are the core of AI research. Although mainstream neural networks have done well in the fields of image processing and speech recognition, they do not perform well in models aimed at understanding contextual information. In our opinion, the reason for this is that the essence of building a neural network through parameter training is to fit the data to the statistical law through parameter training.

Cordycepin improves behavioral-LTP and dendritic structure in hippocampal CA1 area of rats.

Cordycepin, an adenosine analog, has been reported to improve cognitive function, but which seems to be inconsistent with the reports showing that cordycepin inhibited long-term potentiation (LTP). Behavioral-LTP is usually used to study long-term synaptic plasticity induced by learning tasks in freely moving animals. In order to investigate simultaneously the effects of cordycepin on LTP and behavior in rats, we applied the model of behavioral-LTP induced by Y-maze learning task through recording population spikes in hippocampal CA1 region.

Terahertz image reconstruction based on compressed sensing and inverse Fresnel diffraction.

The introduction of compressed sensing (CS) effectively pushes the development of single-pixel THz imaging due to reducing the experimental time and avoiding raster scanning. In this work, a CS method based on photoinduced dynamic masks is employed to recover a THz diffraction field in the time domain, and an inverse Fresnel diffraction (IFD) integral is adopted to remove the influence of the diffraction and reconstruct the sharp THz spectral image in a single-pixel THz imaging system. The compatibility of the CS and IFD algorithms are validated on the simulation and experiment.

Neuroprotection of cordycepin in NMDA-induced excitotoxicity by modulating adenosine A receptors.

Cerebral ischemia impairs physiological form of synaptic plasticity such as long-term potentiation (LTP). Clinical symptoms of cognitive dysfunction resulting from cerebral ischemia are associated with neuron loss and synaptic function impairment in hippocampus. It has been widely reported that cordycepin displays neuroprotective effect on ameliorating cognitive dysfunction induced by cerebral ischemia.

Implementing artificial neural networks through bionic construction.

It is evident through biology research that, biological neural network could be implemented through two means: by congenital heredity, or by posteriority learning. However, traditionally, artificial neural network, especially the Deep learning Neural Networks (DNNs) are implemented only through exhaustive training and learning. Fixed structure is built, and then parameters are trained through huge amount of data.

Polarization determination based on the longitudinal field of a converging terahertz wave.

Based on coherently measuring the longitudinal field of a converging terahertz (THz) wave, a polarization determination method to the THz radiation is proposed. By utilizing the method, the arbitrary uniform polarization state of a THz field can be effectively identified in a single measurement. By using the vector diffraction integral, the principle of the method is theoretically discussed in detail.

Confirmation of the abnormal lipid metabolism as a risk factor for the disease of leukoaraiosis.

Our purpose is to screen out medical history indicators and test indicators linked to lipid metabolism which is closely correlated to leukoaraiosis (LA), and to build assistant diagnosis model based on support vector machine (SVM), which provided theoretical evidence for genesis and development of LA. One thousand LA patients who underwent magnetic resonance imaging (MRI) examination in Imaging Department was retrospectively analyzed and divided into LA group and non-LA group in accordance with examination results. Detailed clinical statistics of the two groups were collected, including test indicators related to lipid metabolism, such as total cholesterol (TC), triglyceride (TG), low density lipoprotein (LDL), high density lipoprotein (HDL), medical history indicators, age, sex, diabetes, hypertension, hyperlipidemia, history of intracranial infection, history of cerebral hemorrhage, cerebral infarction, lacunar infarction and relevant biochemical indexes.