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1.
Clean Technol Environ Policy ; : 1-18, 2021 Feb 22.
Artigo em Inglês | MEDLINE | ID: mdl-33642968

RESUMO

Abstract: 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 instruments and rather than economic instruments.

2.
J Neural Eng ; 2021 Jan 04.
Artigo em Inglês | MEDLINE | ID: mdl-33395676

RESUMO

OBJECTIVE: Motor imagery (MI) electroencephalography (EEG) classification is regarded as a promising technology for brain--computer interface (BCI) systems, which help people to communicate with the outside world using neural activities. However, decoding human intent accurately is a challenging task because of its small signal-to-noise ratio and non-stationary characteristics. Methods that directly extract features from raw EEG signals ignores key frequency domain information. One of the challenges in MI classification tasks is finding a way to supplement the frequency domain information ignored by the raw EEG signal. APPROACH: In this study, we fuse different models using their complementary characteristics to develop a multiscale space-time-frequency feature-guided multitask learning convolutional neural network (CNN) architecture. The proposed method consists of four modules: the space-time feature-based representation module, time-frequency feature-based representation module, multimodal fused feature-guided generation module, and classification module. The proposed framework is based on multitask learning. The four modules are trained using three tasks simultaneously and jointly optimised. RESULTS: The proposed method is evaluated using three public challenge datasets. Through quantitative analysis, we demonstrate that our proposed method outperforms most state-of-the-art machine learning and deep learning techniques for EEG classification, thereby demonstrating the robustness and effectiveness of our method. Moreover, the proposed method is employed to realize control of robot based on EEG signal, verifying its feasibility in real-time applications. SIGNIFICANCE: To the best of our knowledge, a deep CNN architecture that fuses different input cases, which have complementary characteristics, has not been applied to BCI tasks. Because of the interaction of the three tasks in the multitask learning architecture, our method can improve the generalisation and accuracy of subject-dependent and subject-independent methods with limited annotated data.

3.
Biomed Res Int ; 2020: 8854245, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-33204722

RESUMO

Cell division-related proteins are essential for the normal development and differentiation of cells and may be related to the occurrence of cancer and the drug resistance mechanism of cancer cells. The mitotic kinesin-like protein 1 (MKLP1) is a kinesin protein that has been involved in the assembly of the midzone/midbody during mitosis and cytokinesis. In this study, we found that the tail domain of MKLP1 exhibited an autoinhibitory effect on its motor activity. Overexpression of the tail domain in HEK293 cells blocked cytokinesis and caused bi-/multinucleation. It is possible that protein binding to the MKLP1 tail relieves this autoinhibition and induces the motility of MKLP1. We used the GST pull-down assay followed by the LC-MS/MS analysis and identified 54 MKLP1 tail domain-specific binding proteins. Further, we confirmed the MS result by coimmunoprecipitation and FRET that a serine/threonine kinase, p21-activated kinase 2 (PAK2), binding to MKLP1. Endogenous PAK2 expression was found to be identical to that of MKLP1 in HEK293 cells during cytokinesis. Finally, functional studies indicated that when PAK2 expression was downregulated by siRNA, MKLP1 underwent a change in its localization away from the midbody, and cell cytokinesis was subsequently impeded. This study presents a novel regulatory mechanism that PAK2 promotes the activation of MKLP1 and contributes to complete cell cytokinesis.

4.
Plant Signal Behav ; : 1836884, 2020 Oct 21.
Artigo em Inglês | MEDLINE | ID: mdl-33084518

RESUMO

Heavy metal pollution is a major environmental stress affecting plant growth and development. The heavy metal cadmium inhibits various physiological processes in plants, including seed germination and seedling growth, photosynthesis, and antioxidation. Extensive research has been conducted on the toxic effects of Cd2+ on plants and the mechanisms of Cd2+ tolerance. Here, we review recent advancements in our understanding of the absorption, transport, and accumulation of Cd2+ in plants and the mechanisms of Cd2+ tolerance.

5.
IEEE Trans Neural Syst Rehabil Eng ; 28(11): 2515-2524, 2020 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-33001806

RESUMO

An important challenge in the study of functional corticomuscular coupling (FCMC) is an accurate capture of the coupling relationship between the cerebral cortex and the effector muscle. The coherence method is a linear analysis method, which has certain limitations in further revealing the nonlinear coupling between neural signals. Although mutual information (MI) and transfer entropy (TE) based on information theory can capture both linear and nonlinear correlations, the equitability of these algorithms is ignored and the nonlinear components of the correlation cannot be separated. The maximal information coefficient (MIC) is a suitable method to measure the coupling between neurophysiological signals. This study extends the MIC to the time-frequency domain, named time-frequency maximal information coefficient (TFMIC), to explore the FCMC in a specific frequency band. The effectiveness, equitability, and robustness of the algorithm on the simulation data was verified and compared with coherence, TE- and MI- based methods. Simulation results showed that the TFMIC could accurately detect the coupling for different functional relationships at low noise levels. The dorsiflexion experimental results revealed that the beta-band (14-30 Hz) significant coupling was observed at channels Cz, C4, FC4, and FCz. Additionally, the results showed that the coupling was higher in the alpha-band (8-13 Hz) and beta-band (14-30 Hz) than in the gamma-band (31-45 Hz). This might be related to a transition between sensorimotor states. Specifically, the nonlinear component of FCMC was also observed at channels Cz, C4, FC4, and FCz. This study expanded the research on nonlinear coupling components in FCMC.

6.
Comput Math Methods Med ; 2020: 8750167, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-33014120

RESUMO

Gamma-aminobutyric acid (GABA) is critical for proper neural network function and can activate astrocytes to induce neuronal excitability; however, the mechanism by which astrocytes transform inhibitory signaling to excitatory enhancement remains unclear. Computational modeling can be a powerful tool to provide further understanding of how GABA-activated astrocytes modulate neuronal excitation. In the present study, we implemented a biophysical neuronal network model to investigate the effects of astrocytes on excitatory pre- and postsynaptic terminals following exposure to increasing concentrations of external GABA. The model completely describes the effects of GABA on astrocytes and excitatory presynaptic terminals within the framework of glutamatergic gliotransmission according to neurophysiological findings. Utilizing this model, our results show that astrocytes can rapidly respond to incoming GABA by inducing Ca2+ oscillations and subsequent gliotransmitter glutamate release. Elevation in GABA concentrations not only naturally decreases neuronal spikes but also enhances astrocytic glutamate release, which leads to an increase in astrocyte-mediated presynaptic release and postsynaptic slow inward currents. Neuronal excitation induced by GABA-activated astrocytes partly counteracts the inhibitory effect of GABA. Overall, the model helps to increase knowledge regarding the involvement of astrocytes in neuronal regulation using simulated bath perfusion of GABA, which may be useful for exploring the effects of GABA-type antiepileptic drugs.

7.
Life Sci ; 262: 118480, 2020 Dec 01.
Artigo em Inglês | MEDLINE | ID: mdl-32980391

RESUMO

OBJECTIVE: Hypopharyngeal squamous cell carcinoma (HSCC) is a common type of malignant tumor. Long non-coding RNAs (lncRNAs) are known to participate in HSCC development, while the role of lncRNA MALAT1 in HSCC remains largely unknown. We aimed to explore function of the lncRNA MALAT1/miR-429/ZEB1 axis in HSCC progression. METHODS: Levels of MALAT1, miR-429 and ZEB1 in HSCC tissues samples were assessed. The FaDu cells were respectively treated with relative sequence or plasmid of MALAT1, miR-429, or ZEB1. Then, CCK-8 assay, colony formation assay, flow cytometry and Transwell assay were used to determine the cell proliferation, apoptosis, cell cycle, migration and invasion of the cells. The PI3K/Akt/mTOR signaling pathway-related proteins, proliferation-related proteins, cell cycle-related proteins, apoptosis-related proteins, and migration-related proteins were detected using Western blot analysis. The cell growth in vivo was observed. The targeting relationships between MALAT1 and miR-429, and between miR-429 and ZEB1 were confirmed. RESULTS: MALAT1 and ZEB1 expression in HSCC was upregulated while miR-429 expression was downregulated. Reduced MALAT1 and ZEB1, and upregulated miR-429 inactivated the PI3K/Akt/mTOR signaling pathway, suppressed in vitro viability, colony formation ability, migration and invasion, as well as cell growth in vivo, and promoted the apoptosis of FaDu cells. Downregulated miR-429 reversed the role of MALAT1 inhibition in FaDu cell growth. LncRNA MALAT1 served as a sponge of miR-429, thus regulating ZEB1 expression. CONCLUSION: Inhibition of MALAT1 was able to elevate miR-429 to suppress the progression of HSCC via reducing ZEB1. Our research provided a potential therapeutic target for HSCC.

8.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi ; 37(4): 683-691, 2020 Aug 25.
Artigo em Chinês | MEDLINE | ID: mdl-32840086

RESUMO

In order to solve the problem that the early onset of paroxysmal atrial fibrillation is very short and difficult to detect, a detection algorithm based on sparse coding of Riemannian manifolds is proposed. The proposed method takes into account that the nonlinear manifold geometry is closer to the real feature space structure, and the computational covariance matrix is used to characterize the heart rate variability (RR interval variation), so that the data is in the Riemannian manifold space. Sparse coding is applied to the manifold, and each covariance matrix is represented as a sparse linear combination of Riemann dictionary atoms. The sparse reconstruction loss is defined by the affine invariant Riemannian metric, and the Riemann dictionary is learned by iterative method. Compared with the existing methods, this method used shorter heart rate variability signal, the calculation was simple and had no dependence on the parameters, and the better prediction accuracy was obtained. The final classification on MIT-BIH AF database resulted in a sensitivity of 99.34%, a specificity of 95.41% and an accuracy of 97.45%. At the same time, a specificity of 95.18% was realized in MIT-BIH NSR database. The high precision paroxysmal atrial fibrillation detection algorithm proposed in this paper has a potential application prospect in the long-term monitoring of wearable devices.


Assuntos
Fibrilação Atrial , Algoritmos , Bases de Dados Factuais , Eletrocardiografia , Humanos , Dispositivos Eletrônicos Vestíveis
9.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi ; 37(3): 434-441, 2020 Jun 25.
Artigo em Chinês | MEDLINE | ID: mdl-32597085

RESUMO

Lung nodules are the main manifestation of early lung cancer. So accurate detection of lung nodules is of great significance for early diagnosis and treatment of lung cancer. However, the rapid and accurate detection of pulmonary nodules is a challenging task due to the complex background, large detection range of pulmonary computed tomography (CT) images and the different sizes and shapes of pulmonary nodules. Therefore, this paper proposes a multi-scale feature fusion algorithm for the automatic detection of pulmonary nodules to achieve accurate detection of pulmonary nodules. Firstly, a three-layer modular lung nodule detection model was designed on the deep convolutional network (VGG16) for large-scale image recognition. The first-tier module of the network is used to extract the features of pulmonary nodules in CT images and roughly estimate the location of pulmonary nodules. Then the second-tier module of the network is used to fuse multi-scale image features to further enhance the details of pulmonary nodules. The third-tier module of the network was fused to analyze the features of the first-tier and the second-tier module of the network, and the candidate box of pulmonary nodules in multi-scale was obtained. Finally, the candidate box of pulmonary nodules under multi-scale was analyzed with the method of non-maximum suppression, and the final location of pulmonary nodules was obtained. The algorithm is validated by the data of pulmonary nodules on LIDC-IDRI common data set. The average detection accuracy is 90.9%.


Assuntos
Algoritmos , Neoplasias Pulmonares , Nódulos Pulmonares Múltiplos , Nódulo Pulmonar Solitário , Humanos , Nódulos Pulmonares Múltiplos/diagnóstico por imagem , Interpretação de Imagem Radiográfica Assistida por Computador , Nódulo Pulmonar Solitário/diagnóstico por imagem , Tomografia Computadorizada por Raios X
10.
Dalton Trans ; 49(26): 8949-8958, 2020 Jul 14.
Artigo em Inglês | MEDLINE | ID: mdl-32558866

RESUMO

A series of Ca3-xMx(PO4)2:Eu2+ (M = Sr, Ba) phosphors were prepared via a high-temperature solid-state reaction process. The X-ray diffraction and Rietveld refinements were used to verify the incorporations of Eu2+ into Ca3-xMx(PO4)2:Eu2+ (M = Sr, Ba). Upon excitation at 365 nm, the Ca3(PO4)2:Eu2+ phosphors exhibit a relatively narrow-band blue emission peaking at 415 nm attributed to the electric radiation transitions 4f65d1→ 4f7 of Eu2+. Moreover, the structural phase transformation and the unusual emission color variation of Ca3-xMx(PO4)2:Eu2+ (M = Sr, Ba) phosphors via the replacement of cationic M2+ (Sr2+, Ba2+) were reported. Upon excitation at the same wavelength of 365 nm, the emission peaks of Eu2+-doped Ca3-xSrx(PO4)2 phosphors red-shifted from 411 to 524 nm with increasing Sr/Ca ratio. The emission thermal stability of M3(PO4)2:Eu2+ (M = Ca, Sr, Ba) was comparatively characterized and the difference was related to the specific host structural features. The combination of host composition design may provide a novel strategy to obtain white light and tunable luminescence.

11.
Sci Rep ; 10(1): 7012, 2020 04 24.
Artigo em Inglês | MEDLINE | ID: mdl-32332879

RESUMO

Stroke and subsequent cerebral ischemia/reperfusion (I/R) injury is a frequently occurring disease that can have serious consequences in the absence of timely intervention. Circular RNAs (circRNAs) in association with microRNAs (miRNAs) and RNA-binding proteins (RBPs) can influence gene expression. However, whether circRNAs have a role in cerebral I/R injury pathogenesis, especially soon after onset, is unclear. In this study, we used the SD rat middle cerebral artery occlusion (MCAO) model of stroke to examine the role of circRNAs in cerebral I/R injury. We used high-throughput sequencing (HTS) to compare the expression levels of circRNAs in cerebral cortex tissue from MCAO rats during the occlusion-reperfusion latency period 3 hours after I/R injury with those in control cerebral cortices. Our sequencing results revealed that expression levels of 44 circRNAs were significantly altered after I/R, with 16 and 28 circRNAs showing significant up- and down-regulation, respectively, relative to levels in control cortex. We extended these results in vitro in primary cultured neuron cells exposed to oxygen-glucose deprivation/reperfusion (OGD/R) using qRT-PCR to show that levels of circ-camk4 were increased in OGD/R neurons relative to control neurons. Bioinformatics analyses predicted that several miRNAs could be associated with circ-camk4 and this prediction was confirmed in a RNA pull-down assay. KEGG analysis to predict pathways that involve circ-camk4 included the glutamatergic synapse pathway, MAPK signaling pathway, and apoptosis signaling pathways, all of which are known to be involved in brain injury after I/R. Our results also demonstrate that levels of the human homolog to circ-camk4 (hsa-circ-camk4) are elevated in SH-SY5Y cells exposed to OGD/R treatment. Overexpression of hsa-circ-camk4 in SH-SY5Y cells significantly increased the rate of cell death after OGD/R, suggesting that circ-camk4 may play a key role in progression of cerebral I/R injury.

12.
Acta Odontol Scand ; 78(4): 265-274, 2020 May.
Artigo em Inglês | MEDLINE | ID: mdl-32285744

RESUMO

Objective: Power toothbrushes is considered an effective tool for maintaining oral health; however, its efficacy as compared to manual toothbrushes is still not completely clarified. This article aims to evaluate the efficacy of power toothbrushes compared with the manual toothbrushes in terms of plaque, gingivitis and bleeding reduction.Methods: An electronic search was performed on PUBMED, Web of Science, Wiley and Research Gate. Studies comparing the effectiveness of plaque, gingivitis and bleeding reduction between power and manual toothbrushes were included. Results and effect sizes analysis are presented as standard mean difference (SMD), and subgroup analysis stratified by mode of action of the power toothbrush was performed. Study quality and risk of bias were assessed using the Cochrane assessment tool.Results: A total of 21 randomized clinical studies were included. Power toothbrushes were significantly more effective in reducing plaque index (26 trials: SMD = 0.86, 95% CI: 0.58 to 1.14, I2 = 91.5%, p < .0001), gingival index (14 trials: SMD = 0.47, 95% CI: 0.12 to 0.82, I2 = 88.7%, p < .0001), and bleeding index (11 trials: SMD = 0.92, 95% CI: 0.43 to 1.40, I2 = 91.8%, p < .0001) compared with the manual toothbrushes, except that there was no significant differences between the oscillating-rotating toothbrushes and manual toothbrushes regarding gingivitis reduction (7 trials: SMD = 0.07, 95% CI: -0.20 to 0.33, I2 = 57.2%, p = .03).Conclusions: Power toothbrushes is more effective in reducing dental plaque, gingivitis and bleeding compared with the manual toothbrush.


Assuntos
Placa Dentária/prevenção & controle , Gengivite/prevenção & controle , Saúde Bucal , Escovação Dentária/instrumentação , Dispositivos para o Cuidado Bucal Domiciliar , Índice de Placa Dentária , Desenho de Equipamento , Humanos , Ensaios Clínicos Controlados Aleatórios como Assunto , Método Simples-Cego , Escovação Dentária/métodos
13.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi ; 37(1): 142-149, 2020 Feb 25.
Artigo em Chinês | MEDLINE | ID: mdl-32096388

RESUMO

Inferior myocardial infarction is an acute ischemic heart disease with high mortality, which is easy to induce life-threatening complications such as arrhythmia, heart failure and cardiogenic shock. Therefore, it is of great clinical value to carry out accurate and efficient early diagnosis of inferior myocardial infarction. Electrocardiogram is the most sensitive means for early diagnosis of inferior myocardial infarction. This paper proposes a method for detecting inferior myocardial infarction based on densely connected convolutional neural network. The method uses the original electrocardiogram (ECG) signals of serially connected Ⅱ, Ⅲ and aVF leads as the input of the model and extracts the robust features of the ECG signals by using the scale invariance of the convolutional layers. The characteristic transmission of ECG signals is enhanced by the dense connectivity between different layers, so that the network can automatically learn the effective features with strong robustness and high recognition, so as to achieve accurate detection of inferior myocardial infarction. The Physikalisch Technische Bundesanstalt diagnosis public ECG database was used for verification. The accuracy, sensitivity and specificity of the model reached 99.95%, 100% and 99.90%, respectively. The accuracy, sensitivity and specificity of the model are also over 99% even though the noise exists. Based on the results of this study, it is expected that the method can be introduced in the clinical environment to help doctors quickly diagnose inferior myocardial infarction in the future.


Assuntos
Eletrocardiografia , Infarto Miocárdico de Parede Inferior/diagnóstico , Redes Neurais de Computação , Humanos , Sensibilidade e Especificidade
14.
Materials (Basel) ; 13(2)2020 Jan 16.
Artigo em Inglês | MEDLINE | ID: mdl-31963285

RESUMO

Two types of Schottky structure sensors (silicon nanowire (SiNW)/ZnO/reduced graphene oxide (rGO) and SiNW/TiO2/rGO) were designed, their humidity resistance characteristics were studied, and the sensors were applied to detect sleep apnea through breath humidity monitoring. The results show that the resistance of the sensors exhibited significant changes with increasing humidity, the response times of the two sensors within the relative humidity range of 23-97% were 49 s and 67 s, and the recovery times were 24 s and 43 s, respectively. Meanwhile, continuous breathing monitoring results indicate that the sensitivity of the sensors remained basically unchanged during 10 min of normal breathing and simulated apnea. The response of the sensor is still good after 30 days of use. We believe that the Schottky structure composite sensor is a very promising technology for human breathing monitoring.

15.
Biomed Opt Express ; 10(11): 5486-5496, 2019 Nov 01.
Artigo em Inglês | MEDLINE | ID: mdl-31799026

RESUMO

A spectroscopic detection system for the accurate monitoring of carbon dioxide (CO2) in exhaled breath was realized by tunable diode laser absorption spectroscopy (TDLAS) in conjunction with a vertical-cavity surface-emitting laser (VCSEL) and a multipass cell with an effective optical path-length of 20 m. The VCSEL diode emitting light with an output power of 0.8 mW, covered the strong absorption line of CO2 at 6330.82 cm-1 by drive-current tuning. The minimum detectable concentration of 0.769‰ for CO2 detection was obtained, and a measurement precision of approximately 100 ppm was achieved with an integration time of 168 s. Real-time online measurements were carried out for the detection of CO2 expirograms from healthy subjects, different concentrations were obtained in dead space and alveolar gas. The exhaled CO2 increased significantly with the increasing physical activity, reaches its maximal value at the beginning of respiratory compensation and then decreased slightly until maximal exercise. The developed measurement system has a great potential to be applied in practice for the detection of pulmonary diseases associated with CO2 retention.

16.
Toxicol Appl Pharmacol ; 378: 114622, 2019 09 01.
Artigo em Inglês | MEDLINE | ID: mdl-31195003

RESUMO

BACKGROUND: Polycyclic aromatic hydrocarbons (PAHs) are ubiquitous environmental and occupational pollutants. To date, the effect and mechanism by which PAHs exposure impaired hematopoietic system remains unclear. METHODS: We examined the capability of PAHs to disrupt hematopoiesis in a study of 639 male participants in China by measuring complete blood counts (CBC) in 2013 and 2014. Gas chromatography-mass spectrometry (GC/MS) method was used to measure airborne levels of PAHs and benzene. We measured 1-hydroxypyrene (1-OHP), S-phenylmercapturic acid (SPMA) and 8-hydroxy-2'-deoxyguanosine (8-OHdG) in urinary by ultra-high performance liquid chromatography-mass spectrometry (UPLC-MS/MS) method. RESULTS: We found decreased dose-response of white blood cells, eosinophils, monocytes and lymphocytes with increased PAHs exposure in two consecutive years. We did not find association between benzene with CBC in our study. After stratification analysis by smoking status, the findings were highly consistent. White blood cells, monocytes and red blood cell counts were decreased in high urinary 8-OHdG group. CONCLUSIONS: Our study showed that PAHs could impair the hematopoietic system independently, and oxidative stress might play an important role in potential hematotoxicity.


Assuntos
Hematopoese/efeitos dos fármacos , Exposição Ocupacional/efeitos adversos , Hidrocarbonetos Policíclicos Aromáticos/efeitos adversos , 8-Hidroxi-2'-Desoxiguanosina/efeitos adversos , Poluentes Ocupacionais do Ar/efeitos adversos , China , Cromatografia Líquida de Alta Pressão/métodos , Desoxiguanosina/efeitos adversos , Exposição Ambiental/efeitos adversos , Feminino , Seguimentos , Humanos , Masculino , Pessoa de Meia-Idade , Pirenos/efeitos adversos , Espectrometria de Massas em Tandem/métodos
17.
Sensors (Basel) ; 19(12)2019 Jun 24.
Artigo em Inglês | MEDLINE | ID: mdl-31238537

RESUMO

Falls are the major cause of fatal and non-fatal injury among people aged more than 65 years. Due to the grave consequences of the occurrence of falls, it is necessary to conduct thorough research on falls. This paper presents a method for the study of fall detection using surface electromyography (sEMG) based on an improved dual parallel channels convolutional neural network (IDPC-CNN). The proposed IDPC-CNN model is designed to identify falls from daily activities using the spectral features of sEMG. Firstly, the classification accuracy of time domain features and spectrograms are compared using linear discriminant analysis (LDA), k-nearest neighbor (KNN) and support vector machine (SVM). Results show that spectrograms provide a richer way to extract pattern information and better classification performance. Therefore, the spectrogram features of sEMG are selected as the input of IDPC-CNN to distinguish between daily activities and falls. Finally, The IDPC-CNN is compared with SVM and three different structure CNNs under the same conditions. Experimental results show that the proposed IDPC-CNN achieves 92.55% accuracy, 95.71% sensitivity and 91.7% specificity. Overall, The IDPC-CNN is more effective than the comparison in accuracy, efficiency, training and generalization.


Assuntos
Acidentes por Quedas , Máquina de Vetores de Suporte , Análise Discriminante , Eletromiografia , Humanos , Redes Neurais de Computação , Reconhecimento Automatizado de Padrão
18.
Biochim Biophys Acta Proteins Proteom ; 1867(9): 794-801, 2019 09.
Artigo em Inglês | MEDLINE | ID: mdl-31202897

RESUMO

SIRT1 (Silent mating type information regulation 2 homolog 1) play a neuroprotective effect through deacetylation target proteins in various neuronal diseases. However, the precise mechanisms remain elusive. In this study, we aim to identify those novel interacting partners of SIRT1 in rat brain tissue. By using a pre-clear GST-Pull down assay followed by the LC-MS/MS analysis, we've identified potential SIRT1's interacting partners, which function annotation by GO and KEGG analysis indicating some metabolic pathways are among the most enriched. Then we confirmed two candidates Enolase-1 (and NSE (Neuron-Specific Enolase) in brain) and PKM (Pyruvate Kinase Muscle) are associated with SIRT1 in brain tissue lysis by co-immunoprecipitation. Furthermore, increase or decrease the SIRT1 enzyme activity by its agonist SRT1720 or antagonist EX527 could significantly affect the acetylation level of endogenous NSE and PKM, SIRT1 overexpression or knock out expreiments also showed the same results as use SIRT1's agonist or antagonist. Moreover, the acetylation changes on NSE or PKM could finally lead to affection on their catalytic activity. Taken together, our findings suggest that the function of SIRT1 binding proteins is enriched in metabolic pathways. NSE and PKM are new SIRT1 binding molecules. SIRT1 may regulate acetylation level of NSE and PKM through deacetylation and further regulate their catalytic activity. Our study provides new evidence for the involvement of SIRT1 in the mechanisms of metabolic regulation in central nervous system.


Assuntos
Encéfalo/enzimologia , Fosfopiruvato Hidratase/metabolismo , Piruvato Quinase/metabolismo , Sirtuína 1/metabolismo , Acetilação/efeitos dos fármacos , Animais , Carbazóis/farmacologia , Catálise/efeitos dos fármacos , Compostos Heterocíclicos de 4 ou mais Anéis/farmacologia , Fosfopiruvato Hidratase/genética , Ligação Proteica/efeitos dos fármacos , Ligação Proteica/genética , Piruvato Quinase/genética , Ratos , Ratos Sprague-Dawley , Sirtuína 1/antagonistas & inibidores , Sirtuína 1/genética
19.
Sci Rep ; 9(1): 7430, 2019 05 15.
Artigo em Inglês | MEDLINE | ID: mdl-31092864

RESUMO

Short biologic half-lives limit the therapeutic utility of many small molecules. One approach to extending the half-life of pharmacologically active small molecules is conjugation to less degradable nanoparticles; here we report the synthesis and activity of six targeted polymeric (PEG-b-PLA) nanoparticles for use as adenosine receptor agonists. Using click chemistry, PLA-b-PEG400-N3 and PLA-b-PEG2000 block copolymers were bound to adenosine at the 3',4'-OH, 5'-OH, and 6-NH2 positions with an acetylene group. Activity of the conjugates as adenosine receptor ligands was tested by their capacity to stimulate cAMP increases in RAW264.7 murine macrophage cells. Only adenosine-conjugated nanoparticles (A-3',4'-OH-TPN2), in which PEG2000 was bound to adenosine on the 3',4' hydroxyl groups, stimulated cAMP increases and these increases were blocked by selective antagonists of both adenosine A2A and A2B receptors, consistent with ligation of these receptors. Adenosine nanoparticles were tested in vivo in a rat model of post-traumatic osteoarthritis; intra-articular injection of adenosine nanoparticles prevented the development of osteoarthritis in this model. These studies suggest that attachment of adenosine to biodegradable nanoparticles provides a novel approach to achieving prolonged therapeutic effects.


Assuntos
Adenosina/química , Lactatos/química , Nanopartículas/química , Polietilenoglicóis/química , Adenosina/metabolismo , Animais , Química Click , Sistemas de Liberação de Medicamentos/métodos , Camundongos , Camundongos Endogâmicos C57BL , Osteoartrite/metabolismo , Polímeros/química , Agonistas do Receptor Purinérgico P1/química , Células RAW 264.7 , Ratos
20.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi ; 36(1): 80-84, 2019 Feb 25.
Artigo em Chinês | MEDLINE | ID: mdl-30887780

RESUMO

Muscle fatigue has widespread application in the field of rehabilitation medicine. The paper studies the muscle fatigue using surface electromyogram (sEMG) in the background of rehabilitation training system. The sEMG and ventilatory threshold of vastus lateralis, rectus femoris and erector spinae are collected synchronously and the electromyogram fatigue threshold (EMG FT) of different sEMG was analyzed by increasing load cycling experiments of 10 healthy subjects. This paper also analyzes the effect of isotonic and isometric contraction on EMG FT. Results showed that the appeared time of EMG FT was earlier than that of ventilatory threshold in the incremental load cycling. While the differences were subtle and EMG FT was verified to be effective. EMG FT has been proven effective for different muscle contraction by comparing the EMG FT of vastus lateralis and erector spinae. EMG FT could be used to keep muscle injuries from overtraining in the process of rehabilitation. Therefore, EMG FT has a great significance for femoral shaft fractures's fatigue monitoring in rehabilitation training.

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