Publish in OALib Journal

ISSN: 2333-9721

APC: Only $99


Any time

2020 ( 1 )

2019 ( 40 )

2018 ( 388 )

2017 ( 377 )

Custom range...

Search Results: 1 - 10 of 20494 matches for " Jiehui Jing "
All listed articles are free for downloading (OA Articles)
Page 1 /20494
Display every page Item
A Simple and Efficient Route for Preparing 2,3,5,6-Tetraaminopyridine Hydrochloride Salt
Yanhong Wang,Zhen Hu,Xiangli Meng,Jiehui Jing,Yuanjun Song,Chunhua Zhang,Yudong Huang
Molecules , 2009, DOI: 10.3390/molecules14051652
Abstract: A simple and efficient route for preparing 2,3,5,6-tetraaminopyridine hydrochloride salt (TAP·3HCl·H2O) was introduced in this paper. The title compound was synthesized, as usual, in two steps (nitration and hydrogenation) with a total yield of 90%. The use of an oleum and fuming nitric acid mixture in the nitration step improved the yield and purity of the intermediate product. A highly efficient hydrogenation using a H2/Pd/C/C2H5OH system was developed. The products were characterized by TG, IR, 1H-NMR, 13C-NMR, HPLC and elemental analysis.
MDA-7/IL-24 Induces Bcl-2 Denitrosylation and Ubiquitin-Degradation Involved in Cancer Cell Apoptosis
Hui Tian, Jing Wang, BaoFu Zhang, JieHui Di, FeiFei Chen, HuiZhong Li, LianTao Li, DongSheng Pei, JunNian Zheng
PLOS ONE , 2012, DOI: 10.1371/journal.pone.0037200
Abstract: MDA-7/IL-24 was involved in the specific cancer apoptosis through suppression of Bcl-2 expression, which is a key apoptosis regulatory protein of the mitochondrial death pathway. However, the underlying mechanisms of this regulation are unclear. We report here that tumor-selective replicating adenovirus ZD55-IL-24 leads to Bcl-2 S-denitrosylation and concomitant ubiquitination, which take part in the 26S proteasome degradation. IL-24-siRNA completely blocks Bcl-2 ubiquitination via reversion of Bcl-2 S-denitrosylation and protects it from proteasomal degradation which confirmed the significant role of MDA-7/IL-24 in regulating posttranslational modification of Bcl-2 in cancer cells. Nitric oxide (NO) is a key regulator of protein S-nitrosylation and denitrosylation. The NO donor, sodium nitroprusside (SNP), down-regulates Bcl-2 S-denitrosylation, attenuates Bcl-2 ubiquitination and subsequently counteracts MDA-7/IL-24 induced cancer cell apoptosis, whereas NO inhibitor 2-(4-carboxyphenyl)-4,4,5,5-tetramethyli?midazoline-1-oxy-3-oxide(PTIO) shows the opposite effect. At the same time, these NO modulators fail to affect Bcl-2 phosphorylation, suggesting that NO regulates Bcl-2 stability in a phosphorylation-independent manner. In addition, Bcl-2 S-nitrosylation reduction induced by ZD55-IL-24 was attributed to both iNOS decrease and TrxR1 increase. iNOS-siRNA facilitates Bcl-2 S-denitrosylation and ubiquitin-degradation, whereas the TrxR1 inhibitor auranofin prevents Bcl-2 from denitrosylation and ubiquitination, thus restrains the caspase signal pathway activation and subsequent cancer cell apoptosis. Taken together, our studies reveal that MDA-7/IL-24 induces Bcl-2 S-denitrosylation via regulation of iNOS and TrxR1. Moreover, denitrosylation of Bcl-2 results in its ubiquitination and subsequent caspase protease family activation, as a consequence, apoptosis susceptibility. These findings provide a novel insight into MDA-7/IL-24 induced growth inhibition and carcinoma apoptosis.
What Decision Factors Will Affect Design For Base Of The Pyramid (DfBoP)? --- An Experience Research Based On Case Study From IDE/TU
Jiang Jiehui,Prabhu Kandachar
Lecture Notes in Engineering and Computer Science , 2009,
Roadmap Research On Process In Design For Base Of The Pyramid (DfBoP)
Jiang Jiehui,Prabhu Kandachar
Lecture Notes in Engineering and Computer Science , 2009,
A Gaussian Mixture Model-Based Continuous Boundary Detection for 3D Sensor Networks
Jiehui Chen,Mariam B. Salim,Mitsuji Matsumoto
Sensors , 2010, DOI: 10.3390/s100807632
Abstract: This paper proposes a high precision Gaussian Mixture Model-based novel Boundary Detection 3D (BD3D) scheme with reasonable implementation cost for 3D cases by selecting a minimum number of Boundary sensor Nodes (BNs) in continuous moving objects. It shows apparent advantages in that two classes of boundary and non-boundary sensor nodes can be efficiently classified using the model selection techniques for finite mixture models; furthermore, the set of sensor readings within each sensor node’s spatial neighbors is formulated using a Gaussian Mixture Model; different from DECOMO [1] and COBOM [2], we also formatted a BN Array with an additional own sensor reading to benefit selecting Event BNs (EBNs) and non-EBNs from the observations of BNs. In particular, we propose a Thick Section Model (TSM) to solve the problem of transition between 2D and 3D. It is verified by simulations that the BD3D 2D model outperforms DECOMO and COBOM in terms of average residual energy and the number of BNs selected, while the BD3D 3D model demonstrates sound performance even for sensor networks with low densities especially when the value of the sensor transmission range (r) is larger than the value of Section Thickness (d) in TSM. We have also rigorously proved its correctness for continuous geometric domains and full robustness for sensor networks over 3D terrains.
Modeling the Energy Performance of Event-Driven Wireless Sensor Network by Using Static Sink and Mobile Sink
Jiehui Chen,Mariam B. Salim,Mitsuji Matsumoto
Sensors , 2010, DOI: 10.3390/s101210876
Abstract: Wireless Sensor Networks (WSNs) designed for mission-critical applications suffer from limited sensing capacities, particularly fast energy depletion. Regarding this, mobile sinks can be used to balance the energy consumption in WSNs, but the frequent location updates of the mobile sinks can lead to data collisions and rapid energy consumption for some specific sensors. This paper explores an optimal barrier coverage based sensor deployment for event driven WSNs where a dual-sink model was designed to evaluate the energy performance of not only static sensors, but Static Sink (SS) and Mobile Sinks (MSs) simultaneously, based on parameters such as sensor transmission range r and the velocity of the mobile sink v, etc. Moreover, a MS mobility model was developed to enable SS and MSs to effectively collaborate, while achieving spatiotemporal energy performance efficiency by using the knowledge of the cumulative density function (cdf), Poisson process and M/G/1 queue. The simulation results verified that the improved energy performance of the whole network was demonstrated clearly and our eDSA algorithm is more efficient than the static-sink model, reducing energy consumption approximately in half. Moreover, we demonstrate that our results are robust to realistic sensing models and also validate the correctness of our results through extensive simulations.
VEP Correlates of Feedback in Human Cortex
Yury Petrov, Jeffrey Nador, Jiehui Qian
PLOS ONE , 2012, DOI: 10.1371/journal.pone.0051791
Abstract: It is known that neural responses become less dependent on the stimulus size and location along the visual pathway. This study aimed to use this property to find evidence of neural feedback in visually evoked potentials (VEP). High-density VEPs evoked by a contrast reversing checkerboard were collected from 15 normal observers using a 128-channel EEG system. Surface Laplacian method was used to calculate skull-scalp currents corresponding to the measured scalp potentials. This allowed us to identify several distinct foci of skull-scalp currents and to analyse their individual time-courses. Response nonlinearity as a function of the stimulus size increased markedly from the occipital to temporal loci. Similarly, the nonlinearity of reactivations (late evoked response peaks) over the occipital, lateral-occipital, and frontal scalp regions increased with the peak latency. Response laterality (contralateral vs. ipsilateral) was analysed in lateral-occipital and temporal loci. Early lateral-occipital responses were strongly contralateral but the response laterality decreased and then disappeared for later peaks. Responses in temporal loci did not differ significantly between contralateral and ipsilateral stimulation. Overall, the results suggest that feedback from higher-tier visual areas, e.g., those in temporal cortices, may significantly contribute to reactivations in early visual areas.
Application and Exploration of WPBL Teaching Model in Surgery Teaching  [PDF]
Qianli Tang, Shu Wang, Dandan Xie, Xiaoqiang Mo, Xusen Huang, Haige Huang, Jiehui Li, Hongmeng Zeng
Creative Education (CE) , 2017, DOI: 10.4236/ce.2017.84049
Abstract: Objective: To investigate the application of WPBL (Web Problem-Based Learning) teaching model in surgical teaching so as to better explore and research surgical teaching model. Methods: Questionnaire survey was given to the objects selected from students and teachers of Youjiang Medical University for Nationalities through random table number. Results: Most of the teachers knew about WPBL teaching model and agreed with the introduction of WPBL. As for the students’ satisfaction degree for teaching methods, almost half of the students believed that the teachers could apply flexible and various teaching methods in the classroom teaching, 18% of the students thought that only a small number of teachers met the requirement, but there were still 2% of the students who held that teachers didn’t meet above-mentioned requirement. Conclusion: Teachers have a certain understanding about WPBL teaching model, but the understanding is not deep enough, so the standardized teaching training for teachers is very necessary. At the same time, the students’ high satisfaction degree for teaching and teachers approval indicated that WPBL teaching mode can be recognized by the teachers and students consistently.
A Survey on Cloud Storage
Jiehui JU,Jiyi WU,Jianqing FU,Zhijie LIN
Journal of Computers , 2011, DOI: 10.4304/jcp.6.8.1764-1771
Abstract: As interest in the cloud increases, there has been a lot of talk about the maturity and trustworthiness of cloud storage technologies. Is it still hype or is it real? Many end-users and IT managers are getting very excited about the potential benefits of cloud storage, such as being able to store and manipulate data in the cloud and capitalizing on the promise of higher-performance, more scalable, and cheaper storage. In this paper, we present a typical Cloud Storage system architecture, a reference Cloud Storage model and Multi-Tenancy Cloud Storage model, survey the past and the state-of-the-art of Cloud Storage, and discuss the Advantage and challenges that must be addressed to implement Cloud Storage. Use cases in various Cloud Storage offerings were also summarized.
Multimodal Functional Network Connectivity: An EEG-fMRI Fusion in Network Space
Xu Lei, Dirk Ostwald, Jiehui Hu, Chuan Qiu, Camillo Porcaro, Andrew P. Bagshaw, Dezhong Yao
PLOS ONE , 2011, DOI: 10.1371/journal.pone.0024642
Abstract: EEG and fMRI recordings measure the functional activity of multiple coherent networks distributed in the cerebral cortex. Identifying network interaction from the complementary neuroelectric and hemodynamic signals may help to explain the complex relationships between different brain regions. In this paper, multimodal functional network connectivity (mFNC) is proposed for the fusion of EEG and fMRI in network space. First, functional networks (FNs) are extracted using spatial independent component analysis (ICA) in each modality separately. Then the interactions among FNs in each modality are explored by Granger causality analysis (GCA). Finally, fMRI FNs are matched to EEG FNs in the spatial domain using network-based source imaging (NESOI). Investigations of both synthetic and real data demonstrate that mFNC has the potential to reveal the underlying neural networks of each modality separately and in their combination. With mFNC, comprehensive relationships among FNs might be unveiled for the deep exploration of neural activities and metabolic responses in a specific task or neurological state.
Page 1 /20494
Display every page Item

Copyright © 2008-2017 Open Access Library. All rights reserved.