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P2X7 receptor signaling during adult hippocampal neurogenesis 预览
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作者 Hannah C. Leeson Tailoi Chan-Ling +3 位作者 Michael D. Lovelace Jeremy C. Brownlie Ben J. Gu Michael W. Weible II 《中国神经再生研究:英文版》 SCIE CAS CSCD 2019年第10期1684-1694,共11页
Neurogenesis is a persistent and essential feature of the adult mammalian hippocampus.Granular neurons generated from resident pools of stem or progenitor cells provide a mechanism for the formation and consolidation ... Neurogenesis is a persistent and essential feature of the adult mammalian hippocampus.Granular neurons generated from resident pools of stem or progenitor cells provide a mechanism for the formation and consolidation of new memories.Regulation of hippocampal neurogenesis is complex and multifaceted,and numerous signaling pathways converge to modulate cell proliferation,apoptosis,and clearance of cellular debris,as well as synaptic integration of newborn immature neurons.The expression of functional P2X7 receptors in the central nervous system has attracted much interest and the regulatory role of this purinergic receptor during adult neurogenesis has only recently begun to be explored.P2X7 receptors are exceptionally versatile:in their canonical role they act as adenosine triphosphate-gated calcium channels and facilitate calcium-signaling cascades exerting control over the cell via calcium-encoded sensory proteins and transcription factor activation.P2X7 also mediates transmembrane pore formation to regulate cytokine release and facilitate extracellular communication,and when persistently stimulated by high extracellular adenosine triphosphate levels large P2X7 pores form,which induce apoptotic cell death through cytosolic ion dysregulation.Lastly,as a scavenger receptor P2X7 directly facilitates phagocytosis of the cellular debris that arises during neurogenesis,as well as during some disease states.Understanding how P2X7 receptors regulate the physiology of stem and progenitor cells in the adult hippocampus is an important step towards developing useful therapeutic models for regenerative medicine.This review considers the relevant aspects of adult hippocampal neurogenesis and explores how P2X7 receptor activity may influence the molecular physiology of the hippocampus,and neural stem and progenitor cells. 展开更多
关键词 P2X7 P2X7R adult NEUROGENESIS NEURAL stem CELLS NEURAL PROGENITOR CELLS hippocampus SGZ calcium SIGNALING PURINERGIC SIGNALING
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Neural-like cells from adipose-derived stem cells for cavernous nerve injury in rats 预览
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作者 Cheng-Cheng Ying1 Mei Yang +3 位作者 Yong Wang Yong-Lian Guo Wan-Li Hu Xin-Min Zheng 《中国神经再生研究:英文版》 SCIE CAS CSCD 2019年第6期1085-1090,共6页
Although the remaining nerve tissue can regenerate and partly restore erectile function when the cavernous nerve is compressed/severed and function lost,the limited regenerative ability of these nerve tissues often fa... Although the remaining nerve tissue can regenerate and partly restore erectile function when the cavernous nerve is compressed/severed and function lost,the limited regenerative ability of these nerve tissues often fails to meet clinical needs.Adipose-derived stem cells are easy to obtain and culture,and can differentiate into neural cells.Their proliferation rate is easy to control and they may be used to help restore injured cavernous nerve function.Sprague-Dawley male rats(n=45)were equally randomized into three groups:fifteen rats as a sham-operated group,fifteen rats as a bilateral nerve crush(BINC)group(with no further intervention),fifteen rats as a BINC with intracavernous injection of one million neural-like cells from adipose-derived stem cells(NAS)(BINC+NAS)group.After 4 weeks,erectile function was assessed by stimulating the cavernous body.The number of myelinated axons in the dorsal cavernous nerve was determined by toluidine blue staining.The area of neuronal nitric oxide synthase-positive fibers in the dorsal penile nerve was measured by immunohistochemical staining.Masson staining was used to analyze the ratio of smooth muscle to collagen in penile tissue.The results demonstrate that maximal intracavernous pressure,the ratio of maximal intracavernous pressure to mean arterial pressure,the numbers of myelinated axons and neuronal nitric oxide synthase-positive fibers in the dorsal penile nerve,and the ratio of smooth muscle to collagen could be increased after cell transplantation.These findings indicate that neural-like cells from adipose-derived stem cells can effectively alleviate cavernous nerve injury and improve erectile function.All animal experiments were approved by the Animal Ethics Committee of Huazhong University of Science and Technology,China(approval No.2017-1925)on September 15,2017. 展开更多
关键词 NERVE REGENERATION adipose-derived NEURAL stem CELLS corpus cavernosum CAVERNOUS NERVE erectile dysfunction radical prostatectomy neurons cell differentiation NEURAL REGENERATION
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Unsupervised Electric Motor Fault Detection by Using Deep Autoencoders 预览
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作者 Emanuele Principi Damiano Rossetti +1 位作者 Stefano Squartini Francesco Piazza 《自动化学报:英文版》 CSCD 2019年第2期441-451,共11页
Fault diagnosis of electric motors is a fundamental task for production line testing, and it is usually performed by experienced human operators. In the recent years, several methods have been proposed in the literatu... Fault diagnosis of electric motors is a fundamental task for production line testing, and it is usually performed by experienced human operators. In the recent years, several methods have been proposed in the literature for detecting faults automatically. Deep neural networks have been successfully employed for this task, but, up to the authors’ knowledge, they have never been used in an unsupervised scenario. This paper proposes an unsupervised method for diagnosing faults of electric motors by using a novelty detection approach based on deep autoencoders. In the proposed method, vibration signals are acquired by using accelerometers and processed to extract LogMel coefficients as features. Autoencoders are trained by using normal data only, i.e., data that do not contain faults. Three different autoencoders architectures have been evaluated: the multilayer perceptron(MLP) autoencoder, the convolutional neural network autoencoder, and the recurrent autoencoder composed of long short-term memory(LSTM) units. The experiments have been conducted by using a dataset created by the authors, and the proposed approaches have been compared to the one-class support vector machine(OC-SVM) algorithm. The performance has been evaluated in terms area under curve(AUC) of the receiver operating characteristic curve, and the results showed that all the autoencoder-based approaches outperform the OCSVM algorithm. Moreover, the MLP autoencoder is the most performing architecture, achieving an AUC equal to 99.11 %. 展开更多
关键词 Autoencoder convolutional NEURAL NETWORKS electric motor fault DETECTION long short-term memory NEURAL NETWORKS NOVELTY DETECTION
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Exogenous neural stem cell transplantation for cerebral ischemia 预览
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作者 Ling-Yi Liao Benson Wui-Man Lau +1 位作者 Dalinda Isabel Sánchez-Vida?a Qiang Gao 《中国神经再生研究:英文版》 SCIE CAS CSCD 2019年第7期1129-1137,共9页
Cerebral ischemic injury is the main manifestation of stroke,and its incidence in stroke patients is 70–80%.Although ischemic stroke can be treated with tissue-type plasminogen activator,its time window of effectiven... Cerebral ischemic injury is the main manifestation of stroke,and its incidence in stroke patients is 70–80%.Although ischemic stroke can be treated with tissue-type plasminogen activator,its time window of effectiveness is narrow.Therefore,the incidence of paralysis,hypoesthesia,aphasia,dysphagia,and cognitive impairment caused by cerebral ischemia is high.Nerve tissue regeneration can promote the recovery of the aforementioned dysfunction.Neural stem cells can participate in the reconstruction of the damaged nervous system and promote the recovery of nervous function during self-repair of damaged brain tissue.Neural stem cell transplantation for ischemic stroke has been a hot topic for more than 10 years.This review discusses the treatment of ischemic stroke with neural stem cells,as well as the mechanisms of their involvement in stroke treatment. 展开更多
关键词 nerve REGENERATION STEM CELL therapy NEURAL STEM cells CELL transplantation ischemic stroke cerebral ischemia NEUROPLASTICITY functional recovery NEURAL REGENERATION
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MGMT is down-regulated independently of promoter DNA methylation in rats with all-trans retinoic acidinduced spina bifida aperta 预览
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作者 He-Nan Zhang Yi Guo +3 位作者 Wei Ma Jia Xue Wei-Lin Wang Zheng-Wei Yuan 《中国神经再生研究:英文版》 SCIE CAS CSCD 2019年第2期361-368,共8页
O6-methylguanine DNA methyltransferase (MGMT), a DNA repair enzyme, has been reported in some congenital malformations, but it is less frequently reported in neural tube defects. This study investigated MGMT mRNA expr... O6-methylguanine DNA methyltransferase (MGMT), a DNA repair enzyme, has been reported in some congenital malformations, but it is less frequently reported in neural tube defects. This study investigated MGMT mRNA expression and methylation levels in the early embryo and in different embryonic stages, as well as the relationship between MGMT and neural tube defects. Spina bifida aperta was induced in rats by a single intragastric administration of all-trans retinoic acid on embryonic day (E) 10, whereas normal control rats received the same amount of olive oil on the same embryonic day. DNA damage was assessed by detecting γ-H2A.X in spina bifida aperta rats. Real time-polymerase chain reaction was used to examine mRNA expression of MGMT in normal control and spina bifida aperta rats. In normal controls, the MGMT mRNA expression decreased with increasing embryonic days, and was remarkably reduced from E11 to E14, reaching a minimum at E18. In the spina bifida aperta model, γ-H2A.X protein expression was increased, and mRNA expression of MGMT was markedly decreased on E14, E16, and E18. Bisulfite sequencing polymerase chain reaction for MGMT promoter methylation demonstrated that almost all CpG sites in the MGMT promoter remained unmethylated in both spina bifida aperta rats and normal controls, and there was no significant difference in methylation level between the two groups on either E14 or E18. Our results show that DNA damage occurs in spina bifida aperta rats. The mRNA expression of MGMT is downregulated, and this downregulation is independent of promoter DNA methylation. 展开更多
关键词 nerve REGENERATION NEURAL tube defects spina bifida aperta spinal cord ALL-TRANS retinoic acid O6-methylguanine DNA methyltransferase gene expression DNA methylation PROMOTER BISULFITE sequencing polymerase chain reaction NEURAL REGENERATION
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Soluble Nogo receptor 1 fusion protein protects neural progenitor cells in rats with ischemic stroke 预览
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作者 Hai-Wei He Yue-Lin Zhang +4 位作者 Bao-Qi Yu Gen Ye Wei You Kwok-fai So Xin Li 《中国神经再生研究:英文版》 SCIE CAS CSCD 2019年第10期1755-1764,共10页
Soluble Nogo66 receptor-Fc protein(sNgR-Fc)enhances axonal regeneration following central nervous system injury.However,the underlying mechanisms remain unclear.In this study,we investigated the effects of sNgR-Fc on ... Soluble Nogo66 receptor-Fc protein(sNgR-Fc)enhances axonal regeneration following central nervous system injury.However,the underlying mechanisms remain unclear.In this study,we investigated the effects of sNgR-Fc on the proliferation and differentiation of neural progenitor cells.The photothrombotic cortical injury model of ischemic stroke was produced in the parietal cortex of Sprague-Dawley rats.The rats with photothrombotic cortical injury were randomized to receive infusion of 400μg/kg sNgR-Fc(sNgR-Fc group)or an equal volume of phosphate-buffered saline(photothrombotic cortical injury group)into the lateral ventricle for 3 days.The effects of sNgR-Fc on the proliferation and differentiation of endogenous neural progenitor cells were examined using BrdU staining.Neurological function was evaluated with the Morris water maze test.To further examine the effects of sNgR-Fc treatment on neural progenitor cells,photothrombotic cortical injury was produced in another group of rats that received transplantation of neural progenitor cells from the hippocampus of embryonic Sprague-Dawley rats.The animals were then given an infusion of phosphate-buffered saline(neural progenitor cells group)or sNgR-Fc(sNgR-Fc+neural progenitor cells group)into the lateral ventricle for 3 days.sNgR-Fc enhanced the proliferation of cultured neural progenitor cells in vitro as well as that of endogenous neural progenitor cells in vivo,compared with phosphate-buffered saline,and it also induced the differentiation of neural progenitor cells into neurons.Compared with the photothrombotic cortical injury group,escape latency in the Morris water maze and neurological severity score were greatly reduced,and distance traveled in the target quadrant was considerably increased in the sNgR-Fc group,indicating a substantial improvement in neurological function.Furthermore,compared with phosphate-buffered saline infusion,sNgR-Fc infusion strikingly improved the survival and differentiation of grafted neural progenitor cells.Our findings show that 展开更多
关键词 NEURAL REGENERATION Nogo-66 RECEPTOR Nogo66 receptor-Fc protein NEURAL PROGENITOR cells proliferation differentiation stroke photothrombotic cortical injury transplantation NEUROLOGICAL function nerve REGENERATION
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Mapping theme trends and knowledge structures for human neural stem cells:a quantitative and co-word biclustering analysis for the 2013-2018 period 预览
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作者 Wen-Juan Wei Bei Shi +3 位作者 Xin Guan Jing-Yun Ma Ya-Chen Wang Jing Liu 《中国神经再生研究:英文版》 SCIE CAS CSCD 2019年第10期1823-1832,共10页
Neural stem cells,which are capable of multi-potential differentiation and self-renewal,have recently been shown to have clinical potential for repairing central nervous system tissue damage.However,the theme trends a... Neural stem cells,which are capable of multi-potential differentiation and self-renewal,have recently been shown to have clinical potential for repairing central nervous system tissue damage.However,the theme trends and knowledge structures for human neural stem cells have not yet been studied bibliometrically.In this study,we retrieved 2742 articles from the PubMed database from 2013 to 2018 using "Neural Stem Cells" as the retrieval word.Co-word analysis was conducted to statistically quantify the characteristics and popular themes of human neural stem cell-related studies.Bibliographic data matrices were generated with the Bibliographic Item Co-Occurrence Matrix Builder.We identified 78 high-frequency Medical Subject Heading(MeSH)terms.A visual matrix was built with the repeated bisection method in gCLUTO software.A social network analysis network was generated with Ucinet 6.0 software and GraphPad Prism 5 software.The analyses demonstrated that in the 6-year period,hot topics were clustered into five categories.As suggested by the constructed strategic diagram,studies related to cytology and physiology were well-developed,whereas those related to neural stem cell applications,tissue engineering,metabolism and cell signaling,and neural stem cell pathology and virology remained immature.Neural stem cell therapy for stroke and Parkinson’s disease,the genetics of microRNAs and brain neoplasms,as well as neuroprotective agents,Zika virus,Notch receptor,neural crest and embryonic stem cells were identified as emerging hot spots.These undeveloped themes and popular topics are potential points of focus for new studies on human neural stem cells. 展开更多
关键词 nerve REGENERATION human NEURAL stem cells PubMed bibliometric ANALYSIS biclustering ANALYSIS co-word ANALYSIS strategic diagram ANALYSIS social network ANALYSIS hot research topics MAPPING THEME TRENDS knowledge structures NEURAL REGENERATION
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Learning Hand Latent Features for Unsupervised 3D Hand Pose Estimation 预览
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作者 Jamal Banzi Isack Bulugu Zhongfu Ye 《自主智能(英文)》 2019年第1期1-10,共10页
Recent hand pose estimation methods require large numbers of annotated training data to extract the dynamic information from a hand representation.Nevertheless,precise and dense annotation on the real data is difficul... Recent hand pose estimation methods require large numbers of annotated training data to extract the dynamic information from a hand representation.Nevertheless,precise and dense annotation on the real data is difficult to come by and the amount of information passed to the training algorithm is significantly higher.This paper presents an approach to developing a hand pose estimation system which can accurately regress a 3D pose in an unsupervised manner.The whole process is performed in three stages.Firstly,the hand is modelled by a novel latent tree dependency model (LTDM) which transforms internal joints location to an explicit representation.Secondly,we perform predictive coding of image sequences of hand poses in order to capture latent features underlying a given image without supervision.A mapping is then performed between an image depth and a generated representation.Thirdly,the hand joints are regressed using convolutional neural networks to finally estimate the latent pose given some depth map.Finally,an unsupervised error term which is a part of the recurrent architecture ensures smooth estimation of the final pose.To demonstrate the performance of the proposed system,a complete experiment was conducted on three challenging public datasets,ICVL,MSRA,and NYU.The empirical results show the significant performance of our method which is comparable or better than the state-of-the-art approaches. 展开更多
关键词 HAND Pose Estimation Convolutional NEURAL NETWORKS Recurrent NEURAL NETWORKS HUMAN-MACHINE Interaction Predictive Coding UNSUPERVISED LEARNING
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Use of a combination strategy to improve neuroprotection and neuroregeneration in a rat model of acute spinal cord injury 预览
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作者 Elisa García Roxana Rodríguez-Barrera +10 位作者 Vinnitsa Buzoianu-Anguiano Adrian Flores-Romero Emanuel Malagón-Axotla Marco Guerrero-Godinez Estefanía De la Cruz-Castillo Laura Castillo-Carvajal Monserrat Rivas-Gonzalez Paola Santiago-Tovar Ivis Morales Cesar Borlongan Antonio Ibarra 《中国神经再生研究:英文版》 SCIE CAS CSCD 2019年第6期1060-1068,共9页
Spinal cord injury is a very common pathological event that has devastating functional consequences in patients.In recent years,several research groups are trying to find an effective therapy that could be applied in ... Spinal cord injury is a very common pathological event that has devastating functional consequences in patients.In recent years,several research groups are trying to find an effective therapy that could be applied in clinical practice.In this study,we analyzed the combination of different strategies as a potential therapy for spinal cord injury.Immunization with neural derived peptides(INDP),inhibition of glial scar formation(dipyridyl:DPY),as well as the use of biocompatible matrix(fibrin glue:FG)impregnated with bone marrow mesenchymal stem cells(MSCs)were combined and then its beneficial effects were evaluated in the induction of neuroprotection and neuroregeneration after acute SCI.Sprague-Dawley female rats were subjected to a moderate spinal cord injury and then randomly allocated into five groups:1)phosphate buffered saline;2)DPY;3)INDP+DPY;4)DPY+FG;5)INDP+DPY+FG+MSCs.In all rats,intervention was performed 72 hours after spinal cord injury.Locomotor and sensibility recovery was assessed in all rats.At 60 days after treatment,histological examinations of the spinal cord(hematoxylin-eosin and Bielschowsky staining)were performed.Our results showed that the combination therapy(DPY+INDP+FG+MSCs)was the best strategy to promote motor and sensibility recovery.In addition,significant increases in tissue preservation and axonal density were observed in the combination therapy group.Findings from this study suggest that the combination theapy(DPY+INDP+FG+MSCs)exhibits potential effects on the protection and regeneration of neural tissue after acute spinal cord injury.All procedures were approved by the Animal Bioethics and Welfare Committee(approval No.178544;CSNBTBIBAJ 090812960)on August 15,2016. 展开更多
关键词 FIBRIN GLUE mesenchymal stem cells GLIAL scar protective AUTOIMMUNITY NEURAL derived peptides NEURAL regeneration
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Video Description with Integrated Visual and Textual Information 预览
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作者 Yue Wang Jinlai Liu Xiaojie Wang 《中国通信:英文版》 SCIE CSCD 2019年第1期119-128,共10页
Video Description aims to automatically generate descriptive natural language for videos.Due to the large volume of multi-modal data and successful implementations of Deep Neural Networks(DNNs),a wide range of models ... Video Description aims to automatically generate descriptive natural language for videos.Due to the large volume of multi-modal data and successful implementations of Deep Neural Networks(DNNs),a wide range of models have been proposed.However,previous models learn insufficient linguistic information or correlation between visual and textual modalities.In order to address those problems,this paper proposes an integrated model using Long Short-Term Memory(LSTM).This proposed model consists of triple channels in parallel:a primary video description channel,a sentence-to-sentence channel for language learning,and a channel to integrate visual and textual information.Additionally,the parallel three channels are connected by LSTM weight matrices during training.The VD-ivt model is evaluated on two publicly available datasets,i.e.Youtube2Text and LSMDC.Experimental results demonstrate that the performance of the proposed model outperforms those benchmarks. 展开更多
关键词 VIDEO description(VD) deep NEURAL network(DNN) convolutional NEURAL network(CNN) long short-term memory(LSTM)
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Effect of sevoflurane preconditioning on astrocytic dynamics and neural network formation after cerebral ischemia and reperfusion in rats 预览
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作者 Qiong Yu Li Li Wei-Min Liang 《中国神经再生研究:英文版》 SCIE CAS CSCD 2019年第2期265-271,共7页
Astrocytes, the major component of blood-brain barriers, have presented paradoxical profiles after cerebral ischemia and reperfusion in vivo and in vitro. Our previous study showed that sevoflurane preconditioning imp... Astrocytes, the major component of blood-brain barriers, have presented paradoxical profiles after cerebral ischemia and reperfusion in vivo and in vitro. Our previous study showed that sevoflurane preconditioning improved the integrity of blood-brain barriers after ischemia and reperfusion injury in rats. This led us to investigate the effects of sevoflurane preconditioning on the astrocytic dynamics in ischemia and reperfusion rats, in order to explore astrocytic cell-based mechanisms of sevoflurane preconditioning. In the present study, 2,3,5-triphenyltetrazolium chloride staining and Garcia behavioral scores were utilized to evaluate cerebral infarction and neurological outcome from day 1 to day 3 after transient middle cerebral artery occlusion surgery. Using immunofluorescent staining, we found that sevoflurane preconditioning substantially promoted the astrocytic activation and migration from the penumbra to the infarct with microglial activation from day 3 after middle cerebral artery occlusion. The formation of astrocytic scaffolds facilitated neuroblasts migrating from the subventricular zone to the lesion sites on day 14 after injury. Neural networks increased in the infarct of sevoflurane preconditioned rats, consistent with decreased infarct volume and improved neurological scores after ischemia and reperfusion injury. These findings demonstrate that sevoflurane preconditioning confers neuroprotection, not only by accelerating astrocytic spatial and temporal dynamics, but also providing astrocytic scaffolds for neuroblasts migration to ischemic regions, which facilitates neural reconstruction after brain ischemia. 展开更多
关键词 nerve REGENERATION sevoflurane ischemia and reperfusion neuroprotection astrocytes DYNAMICS NEUROBLAST glial scar NEURAL network stroke INHALATIONAL ANESTHETICS NEURAL REGENERATION
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Sodium valproate suppresses abnormal neurogenesis induced by convulsive status epilepticus 预览
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作者 Peng Wu Yue Hu +2 位作者 Xiu-Juan Li Min Cheng Li Jiang 《中国神经再生研究:英文版》 SCIE CAS CSCD 2019年第3期480-484,共5页
Status epilepticus has been shown to activate the proliferation of neural stem cells in the hippocampus of the brain, while also causing a large amount of neuronal death, especially in the subgranular zone of the dent... Status epilepticus has been shown to activate the proliferation of neural stem cells in the hippocampus of the brain, while also causing a large amount of neuronal death, especially in the subgranular zone of the dentate gyrus and the subventricular zone. Simultaneously, proliferating stem cells tend to migrate to areas with obvious damage. Our previous studies have clearly confirmed the effect of sodium valproate on cognitive function in rats with convulsive status epilepticus. However, whether neurogenesis can play a role in the antiepileptic effect of sodium valproate remains unknown. A model of convulsive status epilepticus was established in Wistar rats by intraperitoneal injection of 3 mEq/kg lithium chloride, and intraperitoneal injection of pilocarpine 40 mg/kg after 18–20 hours. Sodium valproate(100, 200, 300, 400, 500, or 600 mg/kg) was intragastrically administered six times every day(4-hour intervals) for 5 days. To determine the best dosage, sodium valproate concentration was measured from the plasma. The effective concentration of sodium valproate in the plasma of the rats that received the 300-mg/kg intervention was 82.26 ± 11.23 μg/mL. Thus, 300 mg/kg was subsequently used as the intervention concentration of sodium valproate. The following changes were seen: Recording excitatory postsynaptic potentials in the CA1 region revealed high-frequency stimulation-induced long-term potentiation. Immunohistochemical staining for BrdU-positive cells in the brain revealed that sodium valproate intervention markedly increased the success rate and the duration of induced long-term potentiation in rats with convulsive status epilepticus. The intervention also reduced the number of newborn neurons in the subgranular area of the hippocampus and subventricular zone and inhibited the migration of newborn neurons to the dentate gyrus. These results indicate that sodium valproate can effectively inhibit the abnormal proliferation and migration of neural stem cells and newborn neurons after convulsive status epile 展开更多
关键词 nerve REGENERATION status epilepticus sodium valproate long-term POTENTIATION NEURAL stem cells NEUROGENESIS migration subgranular ZONE subventricular ZONE NEURAL REGENERATION
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Robust Neural Control of Discrete Time Uncertain Nonlinear Systems Using Sliding Mode Backpropagation Training Algorithm
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作者 Imen Zaidi Mohamed Chtourou Mohamed Djemel 《国际自动化与计算杂志:英文版》 EI CSCD 2019年第2期213-225,共13页
This work deals with robust inverse neural control strategy for a class of single-input single-output (SISO) discrete-time nonlinear system affected by parametric uncertainties. According to the control scheme, in the... This work deals with robust inverse neural control strategy for a class of single-input single-output (SISO) discrete-time nonlinear system affected by parametric uncertainties. According to the control scheme, in the first step, a direct neural model (DNM) is used to learn the behavior of the system, then, an inverse neural model (INM) is synthesized using a specialized learning technique and cascaded to the uncertain system as a controller. In previous works, the neural models are trained classically by backpropagation (BP) algorithm. In this work, the sliding mode-backpropagation (SM-BP) algorithm, presenting some important properties such as robustness and speedy learning, is investigated. Moreover, four combinations using classical BP and SM-BP are tested to determine the best configuration for the robust control of uncertain nonlinear systems. Two simulation examples are treated to illustrate the effectiveness of the proposed control strategy. 展开更多
关键词 Discrete time UNCERTAIN nonlinear systems NEURAL modelling SLIDING mode backpropagation (BP) algorithm ROBUST NEURAL control
Physiological effects of amyloid precursor protein and its derivatives on neural stem cell biology and signaling pathways involved 预览
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作者 Raquel Coronel Charlotte Palmer +4 位作者 Adela Bernabeu-Zornoza María Monteagudo Andreea Rosca Alberto Zambrano Isabel Liste 《中国神经再生研究:英文版》 SCIE CAS CSCD 2019年第10期1661-1671,共11页
The pathological implication of amyloid precursor protein(APP)in Alzheimer’s disease has been widely documented due to its involvement in the generation of amyloid-β peptide.However,the physiological functions of AP... The pathological implication of amyloid precursor protein(APP)in Alzheimer’s disease has been widely documented due to its involvement in the generation of amyloid-β peptide.However,the physiological functions of APP are still poorly understood.APP is considered a multimodal protein due to its role in a wide variety of processes,both in the embryo and in the adult brain.Specifically,APP seems to play a key role in the proliferation,differentiation and maturation of neural stem cells.In addition,APP can be processed through two canonical processing pathways,generating different functionally active fragments:soluble APP-α,soluble APP-β,amyloid-β peptide and the APP intracellular C-terminal domain.These fragments also appear to modulate various functions in neural stem cells,including the processes of proliferation,neurogenesis,gliogenesis or cell death.However,the molecular mechanisms involved in these effects are still unclear.In this review,we summarize the physiological functions of APP and its main proteolytic derivatives in neural stem cells,as well as the possible signaling pathways that could be implicated in these effects.The knowledge of these functions and signaling pathways involved in the onset or during the development of Alzheimer’s disease is essential to advance the understanding of the pathogenesis of Alzheimer’s disease,and in the search for potential therapeutic targets. 展开更多
关键词 AMYLOID precursor protein APP SOLUBLE APP alpha SOLUBLE APP BETA AMYLOID BETA peptide APP intracellular domain NEURAL stem CELLS NEURAL progenitor CELLS neurogenesis signaling pathways
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Effects of Sofren injection combined with oxygen free radical scavenger on neural function and apoptosis in patients with acute cerebral infarction
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作者 Jian-Ping Feng 《海南医科大学学报(英文版)》 2019年第1期71-74,共4页
Objective:To investigate the effects of Sofren injection combined with oxygen free radical scavenger on neural function and apoptosis in patients with acute cerebral infarction.Methods:The patients with acute cerebral... Objective:To investigate the effects of Sofren injection combined with oxygen free radical scavenger on neural function and apoptosis in patients with acute cerebral infarction.Methods:The patients with acute cerebral infarction who received treatment in Xi'an Union Hospital between September 2016and February 2018 were selected as the study subjects and divided into the control group and Sofren injection group by random number table method. Control group received both conventional treatment and oxygen free radical scavenger treatment, and Sofren injection group received both conventional treatment and Sofren injection combined with oxygen free radical scavenger treatment. The differences in serum levels of neurotrophy indexes, nerve injury indexes and neural apoptosis indexes were compared between the two groups before treatment (T0), after 1 week of treatment (T1), and after 2 weeks treatment (T2).Results: At T0, serum levels of neurotrophy indexes, nerve injury indexes and neural apoptosis indexes were not significantly different between the two groups. At T1 and T2, serum neurotrophy indexes IGF-1, bFGF, BDNF and GDNF levels of Sofren injection group were higher than those of control group;serum nerve injury indexes RBP4, H-FABP, SAA and NPY levels were lower than those of control group;serum neural apoptosis index Bcl-2 level was higher than that of control group whereas Bax and caspase-3 levels were lower than those of control group.Conclusion: Sofren injection combined with oxygen free radical scavenger therapy can effectively optimize the neural function and inhibit the neural apoptosis in patients with acute cerebral infarction. 展开更多
关键词 Acute CEREBRAL INFARCTION Sofren INJECTION NEURAL FUNCTION NEURAL APOPTOSIS
An Energy-Efficient Data Collection Scheme Using Denoising Autoencoder in Wireless Sensor Networks
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作者 Guorui li Sancheng Peng +2 位作者 Cong Wang Jianwei Niu Ying Yuan 《清华大学学报自然科学版(英文版)》 EI CAS CSCD 2019年第1期86-96,共11页
As one of the key operations in Wireless Sensor Networks(WSNs), the energy-efficient data collection schemes have been actively explored in the literature. However, the transform basis for sparsifing the sensed data i... As one of the key operations in Wireless Sensor Networks(WSNs), the energy-efficient data collection schemes have been actively explored in the literature. However, the transform basis for sparsifing the sensed data is usually chosen empirically, and the transformed results are not always the sparsest. In this paper, we propose a Data Collection scheme based on Denoising Autoencoder(DCDA) to solve the above problem. In the data training phase, a Denoising AutoEncoder(DAE) is trained to compute the data measurement matrix and the data reconstruction matrix using the historical sensed data. Then, in the data collection phase, the sensed data of whole network are collected along a data collection tree. The data measurement matrix is utilized to compress the sensed data in each sensor node, and the data reconstruction matrix is utilized to reconstruct the original data in the sink.Finally, the data communication performance and data reconstruction performance of the proposed scheme are evaluated and compared with those of existing schemes using real-world sensed data. The experimental results show that compared to its counterparts, the proposed scheme results in a higher data compression rate, lower energy consumption, more accurate data reconstruction, and faster data reconstruction speed. 展开更多
关键词 wireless sensor NETWORKS DATA COLLECTION NEURAL NETWORKS autoencoder DATA reconstruction
Structure Optimization for Echo State Network Based on Contribution
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作者 Dingyuan Li Fu Liu +1 位作者 Junfei Qiao Rong Li 《清华大学学报自然科学版(英文版)》 EI CAS CSCD 2019年第1期97-105,共9页
Echo State Network (ESN)is a recurrent neural network with a large,randomly generated recurrent part called the dynamic reservoir.Only the output weights are modified during training.However,proper balancing of the tr... Echo State Network (ESN)is a recurrent neural network with a large,randomly generated recurrent part called the dynamic reservoir.Only the output weights are modified during training.However,proper balancing of the trade-off between the structure and performance for ESN remains a difficult task.In this paper,a structure optimized method for ESN based on contribution is proposed to simplify its network structure and improve its performance. First,we evaluate the contribution of reservoir neurons.Second,we present a pruning mechanism to remove the unimportant connection weights of reservoir neurons with low contribution.Finally,the new output weights are learned with the pseudo inverse method.The novel optimized ESN,named C-ESN,is tested on a Lorenz chaotic time-series prediction and an actual municipal sewage treatment system.The simulation results show that the C-ESN can have better prediction and generalization performance than ESN. 展开更多
关键词 NEURAL NETWORK STRUCTURAL DESIGN time-series PREDICTION
基于软计算的低于数据范围的半圆形防波堤波浪反射预报 预览
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作者 Suman Kundapura Vittal Hegde Arkal Jose L.S.Pinho 《船舶与海洋工程学报:英文版》 CSCD 2019年第2期167-175,共9页
Coastal defenses such as the breakwaters are important structures to maintain the navigation conditions in a harbor.The estimation of their hydrodynamic characteristics is conventionally done using physical models,sub... Coastal defenses such as the breakwaters are important structures to maintain the navigation conditions in a harbor.The estimation of their hydrodynamic characteristics is conventionally done using physical models,subjecting to higher costs and prolonged procedures.Soft computing methods prove to be useful tools,in cases where the data availability from physical models is limited.The present paper employs adaptive neuro-fuzzy inference system(ANFIS)and artificial neural network(ANN)models to the data obtained from physical model studies to develop a novel methodology to predict the reflection coefficient(Kr)of seaside perforated semicircular breakwaters under low wave heights,for which no physical model data is available.The prediction was done using the input parameters viz.,incident wave height(Hi),wave period(T),center-to-center spacing of perforations(S),diameter of perforations(D),radius of semicircular caisson(R),water depth(d),and semicircular breakwater structure height(hs).The study shows the prediction below the available data range of wave heights is possible by ANFIS and ANN models.However,the ANFIS performed better with R^2=0.9775 and the error reduced in comparison with the ANN model with R2=0.9751.Study includes conventional data segregation and prediction using ANN and ANFIS. 展开更多
关键词 Semicircular BREAKWATER Wave REFLECTION Below the data range Artificial neural network Adaptive NEURO-FUZZY INFERENCE system
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More than anti-malarial agents:therapeutic potential of artemisinins in neurodegeneration 预览
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作者 Bing-Wen Lu Larry Baum +2 位作者 Kwok-Fai So Kin Chiu Li-Ke Xie 《中国神经再生研究:英文版》 SCIE CAS CSCD 2019年第9期1494-1498,共5页
Artemisinin,also called qinghaosu,is originally derived from the sweet wormwood plant(Artemisia annua),which is used in traditional Chinese medicine.Artemisinin and its derivatives(artemisinins)have been widely used f... Artemisinin,also called qinghaosu,is originally derived from the sweet wormwood plant(Artemisia annua),which is used in traditional Chinese medicine.Artemisinin and its derivatives(artemisinins)have been widely used for many years as anti-malarial agents,with few adverse side effects.Interestingly,evidence has recently shown that artemisinins might have a therapeutic value for several other diseases beyond malaria,including cancers,inflammatory diseases,and autoimmune disorders.Neurodegeneration is a challenging age-associated neurological disorder characterized by deterioration of neuronal structures as well as functions,whereas neuroinflammation has been considered to be an underlying factor in the development of various neurodegenerative disorders,including Alzheimer’s disease.Recently discovered properties of artemisinins suggested that they might be used to treat neurodegenerative disorders by decreasing oxidation,inflammation,and amyloid beta protein(Aβ).In this review,we will introduce artemisinins and highlight the possible mechanisms of their neuroprotective activities,suggesting that artemisinins might have therapeutic potential in neurodegenerative disorders. 展开更多
关键词 ARTEMISININ inflammation neuroinflammation NEURODEGENERATION Alzheimer’s DISEASE Parkinson’s DISEASE ANTI-OXIDATION neuroprotection neural regeneration
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Code Attention: translating source code to comments by exploiting the code constructs
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作者 Wenhao ZHENG Hongyu ZHOU +1 位作者 Ming LI Jianxin WU 《中国计算机科学前沿:英文版》 SCIE EI CSCD 2019年第3期565-578,共14页
Appropriate comments of code snippets provide insight for code functionality, which are helpful for program comprehension. However, due to the great cost of authoring with the comments, many code projects do not conta... Appropriate comments of code snippets provide insight for code functionality, which are helpful for program comprehension. However, due to the great cost of authoring with the comments, many code projects do not contain adequate comments. Automatic comment generation techniques have been proposed to generate comments from pieces of code in order to alleviate the human efforts in annotating the code. Most existing approaches attempt to exploit certain correlations (usually manually given) between code and generated comments, which could be easily violated if coding patterns change and hence the performance of comment generation declines. In addition, recent approaches ignore exploiting the code constructs and leveraging the code snippets like plain text. Furthermore, previous datasets are also too small to validate the methods and show their advantage. In this paper, we propose a new attention mechanism called CodeAttention to translate code to comments, which is able to utilize the code constructs, such as critical statements, symbols and keywords. By focusing on these specific points, CodeAttention could understand the semantic meanings of code better than previous methods. To verify our approach in wider coding patterns, we build a large dataset from open projects in GitHub. Experimental results in this large dataset demonstrate that the proposed method has better performance over existing approaches in both objective and subjective evaluation. We also perform ablation studies to determine effects of different parts in CodeAttention. 展开更多
关键词 software mining machine learning CODE COMMENT generation recurrent neural network ATTENTION mechanism
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